2022-03-02 10:34:49,168 INFO [decode.py:416] Decoding started 2022-03-02 10:34:49,168 INFO [decode.py:422] Device: cuda:0 2022-03-02 10:34:49,181 INFO [decode.py:432] {'feature_dim': 80, 'encoder_out_dim': 512, 'subsampling_factor': 4, 'attention_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'vgg_frontend': False, 'env_info': {'k2-version': '1.11', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'd6323d5fe6ae70eb36432e2e26018928e669b7ac', 'k2-git-date': 'Mon Jan 17 10:33:23 2022', 'lhotse-version': '1.0.0.dev+git.2a116ff.dirty', 'torch-cuda-available': True, 'torch-cuda-version': '10.1', 'python-version': '3.8', 'icefall-git-branch': 'tedlium3-transducer-stateless', 'icefall-git-sha1': 'ac7c2d8-dirty', 'icefall-git-date': 'Wed Feb 23 08:33:20 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-meixu/luomingshuang/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.0.0.dev0+git.2a116ff.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-dev-6-1217190258-77fd9bbbc8-d7dpq', 'IP address': '10.48.40.206'}, 'epoch': 29, 'avg': 16, 'exp_dir': PosixPath('transducer_stateless/exp-4-gpu-new'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'greedy_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': True, 'num_buckets': 30, '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('transducer_stateless/exp-4-gpu-new/greedy_search'), 'suffix': 'epoch-29-avg-16-context-2-max-sym-per-frame-3', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500} 2022-03-02 10:34:49,181 INFO [decode.py:434] About to create model 2022-03-02 10:34:49,747 INFO [decode.py:445] averaging ['transducer_stateless/exp-4-gpu-new/epoch-14.pt', 'transducer_stateless/exp-4-gpu-new/epoch-15.pt', 'transducer_stateless/exp-4-gpu-new/epoch-16.pt', 'transducer_stateless/exp-4-gpu-new/epoch-17.pt', 'transducer_stateless/exp-4-gpu-new/epoch-18.pt', 'transducer_stateless/exp-4-gpu-new/epoch-19.pt', 'transducer_stateless/exp-4-gpu-new/epoch-20.pt', 'transducer_stateless/exp-4-gpu-new/epoch-21.pt', 'transducer_stateless/exp-4-gpu-new/epoch-22.pt', 'transducer_stateless/exp-4-gpu-new/epoch-23.pt', 'transducer_stateless/exp-4-gpu-new/epoch-24.pt', 'transducer_stateless/exp-4-gpu-new/epoch-25.pt', 'transducer_stateless/exp-4-gpu-new/epoch-26.pt', 'transducer_stateless/exp-4-gpu-new/epoch-27.pt', 'transducer_stateless/exp-4-gpu-new/epoch-28.pt', 'transducer_stateless/exp-4-gpu-new/epoch-29.pt'] 2022-03-02 10:35:19,190 INFO [decode.py:454] Number of model parameters: 84007924 2022-03-02 10:35:19,191 INFO [asr_datamodule.py:357] About to get dev cuts 2022-03-02 10:35:19,233 INFO [asr_datamodule.py:362] About to get test cuts 2022-03-02 10:35:19,296 INFO [asr_datamodule.py:300] About to create dev dataset 2022-03-02 10:35:19,298 INFO [asr_datamodule.py:319] About to create dev dataloader 2022-03-02 10:35:21,343 INFO [decode.py:341] batch 0/?, cuts processed until now is 22 2022-03-02 10:36:01,497 INFO [decode.py:358] The transcripts are stored in transducer_stateless/exp-4-gpu-new/greedy_search/recogs-dev-greedy_search-epoch-29-avg-16-context-2-max-sym-per-frame-3.txt 2022-03-02 10:36:01,526 INFO [utils.py:404] [dev-greedy_search] %WER 7.19% [1311 / 18226, 187 ins, 466 del, 658 sub ] 2022-03-02 10:36:01,600 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless/exp-4-gpu-new/greedy_search/errs-dev-greedy_search-epoch-29-avg-16-context-2-max-sym-per-frame-3.txt 2022-03-02 10:36:01,608 INFO [decode.py:388] For dev, WER of different settings are: greedy_search 7.19 best for dev 2022-03-02 10:36:03,619 INFO [decode.py:341] batch 0/?, cuts processed until now is 29 2022-03-02 10:37:08,516 INFO [decode.py:358] The transcripts are stored in transducer_stateless/exp-4-gpu-new/greedy_search/recogs-test-greedy_search-epoch-29-avg-16-context-2-max-sym-per-frame-3.txt 2022-03-02 10:37:08,560 INFO [utils.py:404] [test-greedy_search] %WER 6.57% [1869 / 28430, 206 ins, 733 del, 930 sub ] 2022-03-02 10:37:08,675 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless/exp-4-gpu-new/greedy_search/errs-test-greedy_search-epoch-29-avg-16-context-2-max-sym-per-frame-3.txt 2022-03-02 10:37:08,684 INFO [decode.py:388] For test, WER of different settings are: greedy_search 6.57 best for test 2022-03-02 10:37:08,684 INFO [decode.py:480] Done!