Add log files.

log/log-decode-epoch-64-avg-33-beam-4-2022-03-02-12-05-03

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+2022-03-02 12:05:03,725 INFO [decode.py:421] Decoding started
+2022-03-02 12:05:03,725 INFO [decode.py:427] Device: cuda:0
+2022-03-02 12:05:04,166 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-03-02 12:05:04,200 INFO [decode.py:434] {'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-modified-transducer', 'icefall-git-sha1': '131f087-dirty', 'icefall-git-date': 'Wed Mar 2 11:33:11 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-train-2-0815224919-75d558775b-mmnv8', 'IP address': '10.177.72.138'}, 'epoch': 64, 'avg': 33, 'exp_dir': PosixPath('transducer_stateless_modified/exp-4'), 'lang_dir': PosixPath('data/lang_char'), 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 100, '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_modified/exp-4/modified_beam_search'), 'suffix': 'epoch-64-avg-33-beam-4', 'blank_id': 0, 'vocab_size': 4336}
+2022-03-02 12:05:04,200 INFO [decode.py:436] About to create model
+2022-03-02 12:05:04,931 INFO [decode.py:447] averaging ['transducer_stateless_modified/exp-4/epoch-32.pt', 'transducer_stateless_modified/exp-4/epoch-33.pt', 'transducer_stateless_modified/exp-4/epoch-34.pt', 'transducer_stateless_modified/exp-4/epoch-35.pt', 'transducer_stateless_modified/exp-4/epoch-36.pt', 'transducer_stateless_modified/exp-4/epoch-37.pt', 'transducer_stateless_modified/exp-4/epoch-38.pt', 'transducer_stateless_modified/exp-4/epoch-39.pt', 'transducer_stateless_modified/exp-4/epoch-40.pt', 'transducer_stateless_modified/exp-4/epoch-41.pt', 'transducer_stateless_modified/exp-4/epoch-42.pt', 'transducer_stateless_modified/exp-4/epoch-43.pt', 'transducer_stateless_modified/exp-4/epoch-44.pt', 'transducer_stateless_modified/exp-4/epoch-45.pt', 'transducer_stateless_modified/exp-4/epoch-46.pt', 'transducer_stateless_modified/exp-4/epoch-47.pt', 'transducer_stateless_modified/exp-4/epoch-48.pt', 'transducer_stateless_modified/exp-4/epoch-49.pt', 'transducer_stateless_modified/exp-4/epoch-50.pt', 'transducer_stateless_modified/exp-4/epoch-51.pt', 'transducer_stateless_modified/exp-4/epoch-52.pt', 'transducer_stateless_modified/exp-4/epoch-53.pt', 'transducer_stateless_modified/exp-4/epoch-54.pt', 'transducer_stateless_modified/exp-4/epoch-55.pt', 'transducer_stateless_modified/exp-4/epoch-56.pt', 'transducer_stateless_modified/exp-4/epoch-57.pt', 'transducer_stateless_modified/exp-4/epoch-58.pt', 'transducer_stateless_modified/exp-4/epoch-59.pt', 'transducer_stateless_modified/exp-4/epoch-60.pt', 'transducer_stateless_modified/exp-4/epoch-61.pt', 'transducer_stateless_modified/exp-4/epoch-62.pt', 'transducer_stateless_modified/exp-4/epoch-63.pt', 'transducer_stateless_modified/exp-4/epoch-64.pt']
+2022-03-02 12:08:38,508 INFO [decode.py:456] Number of model parameters: 87939824
+2022-03-02 12:08:38,508 INFO [asr_datamodule.py:354] About to get test cuts
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+2022-03-02 12:25:40,454 INFO [decode.py:342] batch 368/?, cuts processed until now is 7073
+2022-03-02 12:25:46,022 INFO [decode.py:342] batch 370/?, cuts processed until now is 7113
+2022-03-02 12:25:50,878 INFO [decode.py:342] batch 372/?, cuts processed until now is 7146
+2022-03-02 12:25:56,413 INFO [decode.py:342] batch 374/?, cuts processed until now is 7172
+2022-03-02 12:25:57,964 INFO [utils.py:406] [test-beam_4] %WER 5.02% [5264 / 104765, 102 ins, 310 del, 4852 sub ]
+2022-03-02 12:25:58,616 INFO [decode.py:375] Wrote detailed error stats to transducer_stateless_modified/exp-4/modified_beam_search/errs-test-beam_4-epoch-64-avg-33-beam-4.txt
+2022-03-02 12:25:58,617 INFO [decode.py:392] 
+For test, CER of different settings are:
+beam_4	5.02	best for test
+
+2022-03-02 12:25:58,626 INFO [decode.py:479] Done!

log/log-decode-epoch-64-avg-33-context-2-max-sym-per-frame-1-2022-02-28-18-13-07

@@ -0,0 +1,19 @@
+2022-02-28 18:13:07,639 INFO [decode.py:421] Decoding started
+2022-02-28 18:13:07,640 INFO [decode.py:427] Device: cuda:0
+2022-02-28 18:13:07,940 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-02-28 18:13:08,004 INFO [decode.py:434] {'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-modified-transducer', 'icefall-git-sha1': 'ab639ed-clean', 'icefall-git-date': 'Sat Feb 26 17:50:43 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-train-5-0816110343-9647676d5-sqn62', 'IP address': '10.177.63.199'}, 'epoch': 64, 'avg': 33, 'exp_dir': PosixPath('transducer_stateless_modified/exp-4'), 'lang_dir': PosixPath('data/lang_char'), 'decoding_method': 'greedy_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 100, '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_modified/exp-4/greedy_search'), 'suffix': 'epoch-64-avg-33-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 4336}
+2022-02-28 18:13:08,004 INFO [decode.py:436] About to create model
+2022-02-28 18:13:08,491 INFO [decode.py:447] averaging ['transducer_stateless_modified/exp-4/epoch-32.pt', 'transducer_stateless_modified/exp-4/epoch-33.pt', 'transducer_stateless_modified/exp-4/epoch-34.pt', 'transducer_stateless_modified/exp-4/epoch-35.pt', 'transducer_stateless_modified/exp-4/epoch-36.pt', 'transducer_stateless_modified/exp-4/epoch-37.pt', 'transducer_stateless_modified/exp-4/epoch-38.pt', 'transducer_stateless_modified/exp-4/epoch-39.pt', 'transducer_stateless_modified/exp-4/epoch-40.pt', 'transducer_stateless_modified/exp-4/epoch-41.pt', 'transducer_stateless_modified/exp-4/epoch-42.pt', 'transducer_stateless_modified/exp-4/epoch-43.pt', 'transducer_stateless_modified/exp-4/epoch-44.pt', 'transducer_stateless_modified/exp-4/epoch-45.pt', 'transducer_stateless_modified/exp-4/epoch-46.pt', 'transducer_stateless_modified/exp-4/epoch-47.pt', 'transducer_stateless_modified/exp-4/epoch-48.pt', 'transducer_stateless_modified/exp-4/epoch-49.pt', 'transducer_stateless_modified/exp-4/epoch-50.pt', 'transducer_stateless_modified/exp-4/epoch-51.pt', 'transducer_stateless_modified/exp-4/epoch-52.pt', 'transducer_stateless_modified/exp-4/epoch-53.pt', 'transducer_stateless_modified/exp-4/epoch-54.pt', 'transducer_stateless_modified/exp-4/epoch-55.pt', 'transducer_stateless_modified/exp-4/epoch-56.pt', 'transducer_stateless_modified/exp-4/epoch-57.pt', 'transducer_stateless_modified/exp-4/epoch-58.pt', 'transducer_stateless_modified/exp-4/epoch-59.pt', 'transducer_stateless_modified/exp-4/epoch-60.pt', 'transducer_stateless_modified/exp-4/epoch-61.pt', 'transducer_stateless_modified/exp-4/epoch-62.pt', 'transducer_stateless_modified/exp-4/epoch-63.pt', 'transducer_stateless_modified/exp-4/epoch-64.pt']
+2022-02-28 18:14:41,111 INFO [decode.py:456] Number of model parameters: 87939824
+2022-02-28 18:14:41,111 INFO [asr_datamodule.py:354] About to get test cuts
+2022-02-28 18:14:42,718 INFO [decode.py:342] batch 0/?, cuts processed until now is 23
+2022-02-28 18:16:06,939 INFO [decode.py:342] batch 100/?, cuts processed until now is 1900
+2022-02-28 18:17:31,398 INFO [decode.py:342] batch 200/?, cuts processed until now is 3812
+2022-02-28 18:18:47,919 INFO [decode.py:342] batch 300/?, cuts processed until now is 5794
+2022-02-28 18:19:24,236 INFO [utils.py:406] [test-greedy_search] %WER 5.22% [5469 / 104765, 92 ins, 483 del, 4894 sub ]
+2022-02-28 18:19:24,625 INFO [decode.py:375] Wrote detailed error stats to transducer_stateless_modified/exp-4/greedy_search/errs-test-greedy_search-epoch-64-avg-33-context-2-max-sym-per-frame-1.txt
+2022-02-28 18:19:24,625 INFO [decode.py:392] 
+For test, CER of different settings are:
+greedy_search	5.22	best for test
+
+2022-02-28 18:19:24,633 INFO [decode.py:479] Done!