epoch 9 and 10

exp_max_duration_100/epoch-10.pt

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exp_max_duration_100/epoch-11.pt

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exp_max_duration_100/epoch-12.pt

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exp_max_duration_100/epoch-9.pt

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exp_max_duration_100/post/epoch_10-avg_1/log/log-auc-himia_aishell-2023-03-16-17-03-45

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+2023-03-16 17:03:45,401 INFO [auc.py:109] About to compute AUC of himia_aishell
+2023-03-16 17:03:45,515 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_10-avg_1: 0.9227051424571804

exp_max_duration_100/post/epoch_10-avg_1/log/log-auc-himia_cw-2023-03-16-17-03-31

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+2023-03-16 17:03:31,162 INFO [auc.py:109] About to compute AUC of himia_cw
+2023-03-16 17:03:31,283 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_10-avg_1: 0.90541457143175

exp_max_duration_100/post/epoch_10-avg_1/log/log-decode-aishell_test-2023-03-16-17-02-17

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+2023-03-16 17:02:17,634 INFO [decode.py:274] About to load aishell_test.
+2023-03-16 17:02:19,028 INFO [decode.py:283] Decoding aishell_test.
+2023-03-16 17:02:40,234 INFO [decode.py:288] Finish decoding aishell_test.

exp_max_duration_100/post/epoch_10-avg_1/log/log-decode-cw_test-2023-03-16-17-02-49

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+2023-03-16 17:02:49,630 INFO [decode.py:274] About to load cw_test.
+2023-03-16 17:02:51,406 INFO [decode.py:283] Decoding cw_test.
+2023-03-16 17:03:07,949 INFO [decode.py:288] Finish decoding cw_test.

exp_max_duration_100/post/epoch_10-avg_1/log/log-decode-test-2023-03-16-17-02-05

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+2023-03-16 17:02:06,179 INFO [decode.py:283] Decoding test.
+2023-03-16 17:02:08,955 INFO [decode.py:288] Finish decoding test.

exp_max_duration_100/post/epoch_10-avg_1/log/log-inference-2023-03-16-17-00-50

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+2023-03-16 17:00:50,242 INFO [inference.py:144] Decoding started
+2023-03-16 17:00:50,243 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 10, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_10-avg_1/'}
+2023-03-16 17:00:50,243 INFO [inference.py:151] device: cuda:0
+2023-03-16 17:00:50,267 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-10.pt
+2023-03-16 17:01:03,615 INFO [inference.py:173] Number of model parameters: 1502169
+2023-03-16 17:01:03,616 INFO [asr_datamodule.py:411] About to get aishell test cuts
+2023-03-16 17:01:03,682 INFO [asr_datamodule.py:429] About to get test cuts
+2023-03-16 17:01:03,685 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts
+2023-03-16 17:01:04,643 INFO [inference.py:189] About to inference aishell_test
+2023-03-16 17:01:06,068 INFO [inference.py:127] batch 0/?, cuts processed until now is 20
+2023-03-16 17:01:10,702 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911
+2023-03-16 17:01:15,931 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885
+2023-03-16 17:01:18,097 INFO [inference.py:197] finish inferencing aishell_test
+2023-03-16 17:01:18,099 INFO [inference.py:189] About to inference test
+2023-03-16 17:01:18,721 INFO [inference.py:127] batch 0/?, cuts processed until now is 99
+2023-03-16 17:01:21,020 INFO [inference.py:197] finish inferencing test
+2023-03-16 17:01:21,022 INFO [inference.py:189] About to inference cw_test
+2023-03-16 17:01:22,082 INFO [inference.py:127] batch 0/?, cuts processed until now is 67
+2023-03-16 17:01:33,586 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251
+2023-03-16 17:01:37,549 INFO [inference.py:197] finish inferencing cw_test
+2023-03-16 17:01:37,551 INFO [inference.py:199] Done!

exp_max_duration_100/post/epoch_9-avg_1/log/log-auc-himia_aishell-2023-03-16-17-00-32

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+2023-03-16 17:00:32,119 INFO [auc.py:109] About to compute AUC of himia_aishell
+2023-03-16 17:00:32,176 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_9-avg_1: 0.9534277769332116

exp_max_duration_100/post/epoch_9-avg_1/log/log-auc-himia_cw-2023-03-16-17-00-16

@@ -0,0 +1,2 @@
+2023-03-16 17:00:16,507 INFO [auc.py:109] About to compute AUC of himia_cw
+2023-03-16 17:00:16,669 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_9-avg_1: 0.8753304862242939

exp_max_duration_100/post/epoch_9-avg_1/log/log-decode-aishell_test-2023-03-16-16-59-00

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+2023-03-16 16:59:00,974 INFO [decode.py:274] About to load aishell_test.
+2023-03-16 16:59:02,326 INFO [decode.py:283] Decoding aishell_test.
+2023-03-16 16:59:24,636 INFO [decode.py:288] Finish decoding aishell_test.

exp_max_duration_100/post/epoch_9-avg_1/log/log-decode-cw_test-2023-03-16-16-59-31

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+2023-03-16 16:59:31,639 INFO [decode.py:274] About to load cw_test.
+2023-03-16 16:59:33,392 INFO [decode.py:283] Decoding cw_test.
+2023-03-16 16:59:48,994 INFO [decode.py:288] Finish decoding cw_test.

exp_max_duration_100/post/epoch_9-avg_1/log/log-decode-test-2023-03-16-16-58-49

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+2023-03-16 16:58:49,461 INFO [decode.py:274] About to load test.
+2023-03-16 16:58:50,440 INFO [decode.py:283] Decoding test.
+2023-03-16 16:58:53,186 INFO [decode.py:288] Finish decoding test.

exp_max_duration_100/post/epoch_9-avg_1/log/log-inference-2023-03-16-16-57-31

@@ -0,0 +1,21 @@
+2023-03-16 16:57:31,626 INFO [inference.py:144] Decoding started
+2023-03-16 16:57:31,626 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 9, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_9-avg_1/'}
+2023-03-16 16:57:31,626 INFO [inference.py:151] device: cuda:0
+2023-03-16 16:57:31,650 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-9.pt
+2023-03-16 16:57:45,979 INFO [inference.py:173] Number of model parameters: 1502169
+2023-03-16 16:57:45,979 INFO [asr_datamodule.py:411] About to get aishell test cuts
+2023-03-16 16:57:45,988 INFO [asr_datamodule.py:429] About to get test cuts
+2023-03-16 16:57:45,989 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts
+2023-03-16 16:57:46,946 INFO [inference.py:189] About to inference aishell_test
+2023-03-16 16:57:48,870 INFO [inference.py:127] batch 0/?, cuts processed until now is 20
+2023-03-16 16:57:52,250 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911
+2023-03-16 16:57:55,665 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885
+2023-03-16 16:57:57,866 INFO [inference.py:197] finish inferencing aishell_test
+2023-03-16 16:57:57,868 INFO [inference.py:189] About to inference test
+2023-03-16 16:57:58,463 INFO [inference.py:127] batch 0/?, cuts processed until now is 99
+2023-03-16 16:58:00,796 INFO [inference.py:197] finish inferencing test
+2023-03-16 16:58:00,798 INFO [inference.py:189] About to inference cw_test
+2023-03-16 16:58:01,846 INFO [inference.py:127] batch 0/?, cuts processed until now is 67
+2023-03-16 16:58:08,568 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251
+2023-03-16 16:58:12,892 INFO [inference.py:197] finish inferencing cw_test
+2023-03-16 16:58:12,895 INFO [inference.py:199] Done!