log/log-decode-epoch-89-avg-38-context-2-max-sym-per-frame-1-2022-02-26-17-12-51

2022-02-26 17:12:51,073 INFO [decode.py:427] Decoding started
2022-02-26 17:12:51,074 INFO [decode.py:433] Device: cuda:0
2022-02-26 17:12:51,441 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
2022-02-26 17:12:51,476 INFO [decode.py:440] {'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': '1.13', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f4fefe4882bc0ae59af951da3f47335d5495ef71', 'k2-git-date': 'Thu Feb 10 15:16:02 2022', 'lhotse-version': '1.0.0.dev+missing.version.file', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'aishell-with-aidatatang', 'icefall-git-sha1': '4aead98-dirty', 'icefall-git-date': 'Sat Feb 19 23:09:12 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-aishell', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-multi-datasets/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-aishell/lhotse/__init__.py', 'hostname': 'de-74279-k2-dev-1-0203142625-9776c46db-pk7w6', 'IP address': '10.177.22.139'}, 'epoch': 89, 'avg': 38, 'exp_dir': PosixPath('transducer_stateless_modified-2/exp-2'), 'lang_dir': PosixPath('data/lang_char'), 'decoding_method': 'greedy_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 1, 'max_duration': 100, 'bucketing_sampler': True, 'num_buckets': 30, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'manifest_dir': PosixPath('data/fbank'), 'on_the_fly_feats': False, 'res_dir': PosixPath('transducer_stateless_modified-2/exp-2/greedy_search'), 'suffix': 'epoch-89-avg-38-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 4336}
2022-02-26 17:12:51,476 INFO [decode.py:442] About to create model
2022-02-26 17:12:52,217 INFO [decode.py:453] averaging ['transducer_stateless_modified-2/exp-2/epoch-52.pt', 'transducer_stateless_modified-2/exp-2/epoch-53.pt', 'transducer_stateless_modified-2/exp-2/epoch-54.pt', 'transducer_stateless_modified-2/exp-2/epoch-55.pt', 'transducer_stateless_modified-2/exp-2/epoch-56.pt', 'transducer_stateless_modified-2/exp-2/epoch-57.pt', 'transducer_stateless_modified-2/exp-2/epoch-58.pt', 'transducer_stateless_modified-2/exp-2/epoch-59.pt', 'transducer_stateless_modified-2/exp-2/epoch-60.pt', 'transducer_stateless_modified-2/exp-2/epoch-61.pt', 'transducer_stateless_modified-2/exp-2/epoch-62.pt', 'transducer_stateless_modified-2/exp-2/epoch-63.pt', 'transducer_stateless_modified-2/exp-2/epoch-64.pt', 'transducer_stateless_modified-2/exp-2/epoch-65.pt', 'transducer_stateless_modified-2/exp-2/epoch-66.pt', 'transducer_stateless_modified-2/exp-2/epoch-67.pt', 'transducer_stateless_modified-2/exp-2/epoch-68.pt', 'transducer_stateless_modified-2/exp-2/epoch-69.pt', 'transducer_stateless_modified-2/exp-2/epoch-70.pt', 'transducer_stateless_modified-2/exp-2/epoch-71.pt', 'transducer_stateless_modified-2/exp-2/epoch-72.pt', 'transducer_stateless_modified-2/exp-2/epoch-73.pt', 'transducer_stateless_modified-2/exp-2/epoch-74.pt', 'transducer_stateless_modified-2/exp-2/epoch-75.pt', 'transducer_stateless_modified-2/exp-2/epoch-76.pt', 'transducer_stateless_modified-2/exp-2/epoch-77.pt', 'transducer_stateless_modified-2/exp-2/epoch-78.pt', 'transducer_stateless_modified-2/exp-2/epoch-79.pt', 'transducer_stateless_modified-2/exp-2/epoch-80.pt', 'transducer_stateless_modified-2/exp-2/epoch-81.pt', 'transducer_stateless_modified-2/exp-2/epoch-82.pt', 'transducer_stateless_modified-2/exp-2/epoch-83.pt', 'transducer_stateless_modified-2/exp-2/epoch-84.pt', 'transducer_stateless_modified-2/exp-2/epoch-85.pt', 'transducer_stateless_modified-2/exp-2/epoch-86.pt', 'transducer_stateless_modified-2/exp-2/epoch-87.pt', 'transducer_stateless_modified-2/exp-2/epoch-88.pt', 'transducer_stateless_modified-2/exp-2/epoch-89.pt']
2022-02-26 17:14:18,349 INFO [decode.py:462] Number of model parameters: 92385248
2022-02-26 17:14:18,350 INFO [aishell.py:51] About to get test cuts from data/fbank/cuts_test.json.gz
2022-02-26 17:14:22,984 INFO [decode.py:348] batch 0/?, cuts processed until now is 23
2022-02-26 17:18:37,032 INFO [decode.py:348] batch 100/?, cuts processed until now is 1900
2022-02-26 17:23:08,442 INFO [decode.py:348] batch 200/?, cuts processed until now is 3812
2022-02-26 17:26:44,975 INFO [decode.py:348] batch 300/?, cuts processed until now is 5794
2022-02-26 17:29:28,056 INFO [utils.py:406] [test-greedy_search] %WER 4.94% [5175 / 104765, 74 ins, 680 del, 4421 sub ]
2022-02-26 17:29:28,612 INFO [decode.py:381] Wrote detailed error stats to transducer_stateless_modified-2/exp-2/greedy_search/errs-test-greedy_search-epoch-89-avg-38-context-2-max-sym-per-frame-1.txt
2022-02-26 17:29:28,612 INFO [decode.py:398] 
For test, CER of different settings are:
greedy_search	4.94	best for test

2022-02-26 17:29:28,621 INFO [decode.py:486] Done!