stateless 6 baseline and with distillation

baseline/epoch_20-avg_10.pt

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baseline/epoch_30-avg_10.pt

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baseline/epoch_40-avg_10.pt

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+size 314791463

baseline/epoch_50-avg_10.pt

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+size 314791463

baseline/modified_beam_search/log-decode-epoch-20-avg-10-modified_beam_search-beam-size-4-2022-05-28-00-38-57

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+2022-05-28 00:38:57,142 INFO [decode.py:495] Decoding started
+2022-05-28 00:38:57,142 INFO [decode.py:501] Device: cuda:0
+2022-05-28 00:38:57,157 INFO [decode.py:511] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, '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': 3000, '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': '1.1.0', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'stateless6', 'icefall-git-sha1': '50641cd-dirty', 'icefall-git-date': 'Fri May 27 13:49:39 2022', 'icefall-path': '/ceph-data2/ly/open_source/vq2_icefall', 'k2-path': '/ceph-jb/yaozengwei/workspace/rnnt/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-ly/open-source/hubert/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-9-0425111216-65f66bdf4-bkrql', 'IP address': '10.177.77.9'}, 'enable_distiallation': False, 'distillation_layer': 5, 'num_codebooks': 16, 'epoch': 20, 'iter': 0, 'avg': 10, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless6/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, 'bucketing_sampler': True, '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', 'res_dir': PosixPath('pruned_transducer_stateless6/exp/modified_beam_search'), 'suffix': 'epoch-20-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2022-05-28 00:38:57,157 INFO [decode.py:513] About to create model
+2022-05-28 00:38:57,588 INFO [decode.py:542] averaging ['pruned_transducer_stateless6/exp/epoch-11.pt', 'pruned_transducer_stateless6/exp/epoch-12.pt', 'pruned_transducer_stateless6/exp/epoch-13.pt', 'pruned_transducer_stateless6/exp/epoch-14.pt', 'pruned_transducer_stateless6/exp/epoch-15.pt', 'pruned_transducer_stateless6/exp/epoch-16.pt', 'pruned_transducer_stateless6/exp/epoch-17.pt', 'pruned_transducer_stateless6/exp/epoch-18.pt', 'pruned_transducer_stateless6/exp/epoch-19.pt', 'pruned_transducer_stateless6/exp/epoch-20.pt']
+2022-05-28 00:39:41,009 INFO [decode.py:602] Number of model parameters: 78648040
+2022-05-28 00:39:41,010 INFO [asr_datamodule.py:439] About to get test-clean cuts
+2022-05-28 00:39:41,226 INFO [asr_datamodule.py:444] About to get test-other cuts
+2022-05-28 00:39:43,148 INFO [decode.py:406] batch 0/?, cuts processed until now is 41
+2022-05-28 00:39:57,550 INFO [decode.py:406] batch 10/?, cuts processed until now is 345
+2022-05-28 00:40:13,878 INFO [decode.py:406] batch 20/?, cuts processed until now is 515
+2022-05-28 00:40:29,678 INFO [decode.py:406] batch 30/?, cuts processed until now is 791
+2022-05-28 00:40:47,351 INFO [decode.py:406] batch 40/?, cuts processed until now is 1054
+2022-05-28 00:41:02,499 INFO [decode.py:406] batch 50/?, cuts processed until now is 1362
+2022-05-28 00:41:16,675 INFO [decode.py:406] batch 60/?, cuts processed until now is 1659
+2022-05-28 00:41:29,781 INFO [decode.py:406] batch 70/?, cuts processed until now is 1888
+2022-05-28 00:41:43,379 INFO [decode.py:406] batch 80/?, cuts processed until now is 2185
+2022-05-28 00:41:57,125 INFO [decode.py:406] batch 90/?, cuts processed until now is 2388
+2022-05-28 00:42:10,677 INFO [decode.py:406] batch 100/?, cuts processed until now is 2560
+2022-05-28 00:42:19,265 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-clean-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:42:19,372 INFO [utils.py:409] [test-clean-beam_size_4] %WER 7.09% [3728 / 52576, 424 ins, 348 del, 2956 sub ]
+2022-05-28 00:42:19,666 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-clean-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:42:19,667 INFO [decode.py:453] 
+For test-clean, WER of different settings are:
+beam_size_4	7.09	best for test-clean
+
+2022-05-28 00:42:21,561 INFO [decode.py:406] batch 0/?, cuts processed until now is 46
+2022-05-28 00:42:38,693 INFO [decode.py:406] batch 10/?, cuts processed until now is 382
+2022-05-28 00:42:56,448 INFO [decode.py:406] batch 20/?, cuts processed until now is 577
+2022-05-28 00:43:09,668 INFO [decode.py:406] batch 30/?, cuts processed until now is 887
+2022-05-28 00:43:23,124 INFO [decode.py:406] batch 40/?, cuts processed until now is 1187
+2022-05-28 00:43:38,105 INFO [decode.py:406] batch 50/?, cuts processed until now is 1518
+2022-05-28 00:43:55,141 INFO [decode.py:406] batch 60/?, cuts processed until now is 1848
+2022-05-28 00:44:11,593 INFO [decode.py:406] batch 70/?, cuts processed until now is 2133
+2022-05-28 00:44:27,031 INFO [decode.py:406] batch 80/?, cuts processed until now is 2419
+2022-05-28 00:44:43,642 INFO [decode.py:406] batch 90/?, cuts processed until now is 2685
+2022-05-28 00:44:54,743 INFO [decode.py:406] batch 100/?, cuts processed until now is 2868
+2022-05-28 00:45:02,109 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-other-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:45:02,203 INFO [utils.py:409] [test-other-beam_size_4] %WER 18.88% [9881 / 52343, 957 ins, 1128 del, 7796 sub ]
+2022-05-28 00:45:02,529 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-other-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:45:02,530 INFO [decode.py:453] 
+For test-other, WER of different settings are:
+beam_size_4	18.88	best for test-other
+
+2022-05-28 00:45:02,530 INFO [decode.py:630] Done!

baseline/modified_beam_search/log-decode-epoch-30-avg-10-modified_beam_search-beam-size-4-2022-05-28-00-45-05

@@ -0,0 +1,45 @@
+2022-05-28 00:45:05,322 INFO [decode.py:495] Decoding started
+2022-05-28 00:45:05,323 INFO [decode.py:501] Device: cuda:0
+2022-05-28 00:45:05,326 INFO [decode.py:511] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, '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': 3000, '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': '1.1.0', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'stateless6', 'icefall-git-sha1': '50641cd-dirty', 'icefall-git-date': 'Fri May 27 13:49:39 2022', 'icefall-path': '/ceph-data2/ly/open_source/vq2_icefall', 'k2-path': '/ceph-jb/yaozengwei/workspace/rnnt/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-ly/open-source/hubert/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-9-0425111216-65f66bdf4-bkrql', 'IP address': '10.177.77.9'}, 'enable_distiallation': False, 'distillation_layer': 5, 'num_codebooks': 16, 'epoch': 30, 'iter': 0, 'avg': 10, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless6/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, 'bucketing_sampler': True, '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', 'res_dir': PosixPath('pruned_transducer_stateless6/exp/modified_beam_search'), 'suffix': 'epoch-30-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2022-05-28 00:45:05,326 INFO [decode.py:513] About to create model
+2022-05-28 00:45:05,777 INFO [decode.py:542] averaging ['pruned_transducer_stateless6/exp/epoch-21.pt', 'pruned_transducer_stateless6/exp/epoch-22.pt', 'pruned_transducer_stateless6/exp/epoch-23.pt', 'pruned_transducer_stateless6/exp/epoch-24.pt', 'pruned_transducer_stateless6/exp/epoch-25.pt', 'pruned_transducer_stateless6/exp/epoch-26.pt', 'pruned_transducer_stateless6/exp/epoch-27.pt', 'pruned_transducer_stateless6/exp/epoch-28.pt', 'pruned_transducer_stateless6/exp/epoch-29.pt', 'pruned_transducer_stateless6/exp/epoch-30.pt']
+2022-05-28 00:46:03,106 INFO [decode.py:602] Number of model parameters: 78648040
+2022-05-28 00:46:03,106 INFO [asr_datamodule.py:439] About to get test-clean cuts
+2022-05-28 00:46:03,350 INFO [asr_datamodule.py:444] About to get test-other cuts
+2022-05-28 00:46:05,607 INFO [decode.py:406] batch 0/?, cuts processed until now is 41
+2022-05-28 00:46:19,551 INFO [decode.py:406] batch 10/?, cuts processed until now is 345
+2022-05-28 00:46:36,520 INFO [decode.py:406] batch 20/?, cuts processed until now is 515
+2022-05-28 00:46:51,892 INFO [decode.py:406] batch 30/?, cuts processed until now is 791
+2022-05-28 00:47:07,382 INFO [decode.py:406] batch 40/?, cuts processed until now is 1054
+2022-05-28 00:47:22,250 INFO [decode.py:406] batch 50/?, cuts processed until now is 1362
+2022-05-28 00:47:37,777 INFO [decode.py:406] batch 60/?, cuts processed until now is 1659
+2022-05-28 00:47:50,795 INFO [decode.py:406] batch 70/?, cuts processed until now is 1888
+2022-05-28 00:48:04,916 INFO [decode.py:406] batch 80/?, cuts processed until now is 2185
+2022-05-28 00:48:18,539 INFO [decode.py:406] batch 90/?, cuts processed until now is 2388
+2022-05-28 00:48:30,581 INFO [decode.py:406] batch 100/?, cuts processed until now is 2560
+2022-05-28 00:48:37,105 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-clean-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:48:37,208 INFO [utils.py:409] [test-clean-beam_size_4] %WER 6.83% [3591 / 52576, 400 ins, 343 del, 2848 sub ]
+2022-05-28 00:48:37,441 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-clean-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:48:37,442 INFO [decode.py:453] 
+For test-clean, WER of different settings are:
+beam_size_4	6.83	best for test-clean
+
+2022-05-28 00:48:39,182 INFO [decode.py:406] batch 0/?, cuts processed until now is 46
+2022-05-28 00:48:52,599 INFO [decode.py:406] batch 10/?, cuts processed until now is 382
+2022-05-28 00:49:08,470 INFO [decode.py:406] batch 20/?, cuts processed until now is 577
+2022-05-28 00:49:21,869 INFO [decode.py:406] batch 30/?, cuts processed until now is 887
+2022-05-28 00:49:35,736 INFO [decode.py:406] batch 40/?, cuts processed until now is 1187
+2022-05-28 00:49:49,536 INFO [decode.py:406] batch 50/?, cuts processed until now is 1518
+2022-05-28 00:50:02,636 INFO [decode.py:406] batch 60/?, cuts processed until now is 1848
+2022-05-28 00:50:15,558 INFO [decode.py:406] batch 70/?, cuts processed until now is 2133
+2022-05-28 00:50:27,555 INFO [decode.py:406] batch 80/?, cuts processed until now is 2419
+2022-05-28 00:50:40,636 INFO [decode.py:406] batch 90/?, cuts processed until now is 2685
+2022-05-28 00:50:50,094 INFO [decode.py:406] batch 100/?, cuts processed until now is 2868
+2022-05-28 00:50:57,047 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-other-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:50:57,140 INFO [utils.py:409] [test-other-beam_size_4] %WER 18.19% [9520 / 52343, 953 ins, 1103 del, 7464 sub ]
+2022-05-28 00:50:57,455 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-other-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:50:57,456 INFO [decode.py:453] 
+For test-other, WER of different settings are:
+beam_size_4	18.19	best for test-other
+
+2022-05-28 00:50:57,456 INFO [decode.py:630] Done!

baseline/modified_beam_search/log-decode-epoch-40-avg-10-modified_beam_search-beam-size-4-2022-05-28-00-51-00

@@ -0,0 +1,45 @@
+2022-05-28 00:51:00,330 INFO [decode.py:495] Decoding started
+2022-05-28 00:51:00,330 INFO [decode.py:501] Device: cuda:0
+2022-05-28 00:51:00,333 INFO [decode.py:511] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, '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': 3000, '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': '1.1.0', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'stateless6', 'icefall-git-sha1': '50641cd-dirty', 'icefall-git-date': 'Fri May 27 13:49:39 2022', 'icefall-path': '/ceph-data2/ly/open_source/vq2_icefall', 'k2-path': '/ceph-jb/yaozengwei/workspace/rnnt/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-ly/open-source/hubert/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-9-0425111216-65f66bdf4-bkrql', 'IP address': '10.177.77.9'}, 'enable_distiallation': False, 'distillation_layer': 5, 'num_codebooks': 16, 'epoch': 40, 'iter': 0, 'avg': 10, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless6/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, 'bucketing_sampler': True, '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', 'res_dir': PosixPath('pruned_transducer_stateless6/exp/modified_beam_search'), 'suffix': 'epoch-40-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2022-05-28 00:51:00,334 INFO [decode.py:513] About to create model
+2022-05-28 00:51:00,810 INFO [decode.py:542] averaging ['pruned_transducer_stateless6/exp/epoch-31.pt', 'pruned_transducer_stateless6/exp/epoch-32.pt', 'pruned_transducer_stateless6/exp/epoch-33.pt', 'pruned_transducer_stateless6/exp/epoch-34.pt', 'pruned_transducer_stateless6/exp/epoch-35.pt', 'pruned_transducer_stateless6/exp/epoch-36.pt', 'pruned_transducer_stateless6/exp/epoch-37.pt', 'pruned_transducer_stateless6/exp/epoch-38.pt', 'pruned_transducer_stateless6/exp/epoch-39.pt', 'pruned_transducer_stateless6/exp/epoch-40.pt']
+2022-05-28 00:51:56,806 INFO [decode.py:602] Number of model parameters: 78648040
+2022-05-28 00:51:56,807 INFO [asr_datamodule.py:439] About to get test-clean cuts
+2022-05-28 00:51:57,049 INFO [asr_datamodule.py:444] About to get test-other cuts
+2022-05-28 00:51:59,244 INFO [decode.py:406] batch 0/?, cuts processed until now is 41
+2022-05-28 00:52:12,999 INFO [decode.py:406] batch 10/?, cuts processed until now is 345
+2022-05-28 00:52:28,426 INFO [decode.py:406] batch 20/?, cuts processed until now is 515
+2022-05-28 00:52:42,237 INFO [decode.py:406] batch 30/?, cuts processed until now is 791
+2022-05-28 00:52:57,191 INFO [decode.py:406] batch 40/?, cuts processed until now is 1054
+2022-05-28 00:53:12,786 INFO [decode.py:406] batch 50/?, cuts processed until now is 1362
+2022-05-28 00:53:26,351 INFO [decode.py:406] batch 60/?, cuts processed until now is 1659
+2022-05-28 00:53:39,202 INFO [decode.py:406] batch 70/?, cuts processed until now is 1888
+2022-05-28 00:53:52,447 INFO [decode.py:406] batch 80/?, cuts processed until now is 2185
+2022-05-28 00:54:05,879 INFO [decode.py:406] batch 90/?, cuts processed until now is 2388
+2022-05-28 00:54:20,168 INFO [decode.py:406] batch 100/?, cuts processed until now is 2560
+2022-05-28 00:54:28,824 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-clean-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:54:28,915 INFO [utils.py:409] [test-clean-beam_size_4] %WER 6.73% [3540 / 52576, 385 ins, 348 del, 2807 sub ]
+2022-05-28 00:54:29,131 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-clean-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:54:29,132 INFO [decode.py:453] 
+For test-clean, WER of different settings are:
+beam_size_4	6.73	best for test-clean
+
+2022-05-28 00:54:30,590 INFO [decode.py:406] batch 0/?, cuts processed until now is 46
+2022-05-28 00:54:43,833 INFO [decode.py:406] batch 10/?, cuts processed until now is 382
+2022-05-28 00:54:59,115 INFO [decode.py:406] batch 20/?, cuts processed until now is 577
+2022-05-28 00:55:12,249 INFO [decode.py:406] batch 30/?, cuts processed until now is 887
+2022-05-28 00:55:25,749 INFO [decode.py:406] batch 40/?, cuts processed until now is 1187
+2022-05-28 00:55:39,494 INFO [decode.py:406] batch 50/?, cuts processed until now is 1518
+2022-05-28 00:55:52,486 INFO [decode.py:406] batch 60/?, cuts processed until now is 1848
+2022-05-28 00:56:05,499 INFO [decode.py:406] batch 70/?, cuts processed until now is 2133
+2022-05-28 00:56:20,351 INFO [decode.py:406] batch 80/?, cuts processed until now is 2419
+2022-05-28 00:56:37,169 INFO [decode.py:406] batch 90/?, cuts processed until now is 2685
+2022-05-28 00:56:47,056 INFO [decode.py:406] batch 100/?, cuts processed until now is 2868
+2022-05-28 00:56:53,891 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-other-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:56:53,987 INFO [utils.py:409] [test-other-beam_size_4] %WER 17.79% [9314 / 52343, 900 ins, 1096 del, 7318 sub ]
+2022-05-28 00:56:54,227 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-other-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 00:56:54,228 INFO [decode.py:453] 
+For test-other, WER of different settings are:
+beam_size_4	17.79	best for test-other
+
+2022-05-28 00:56:54,228 INFO [decode.py:630] Done!

baseline/modified_beam_search/log-decode-epoch-50-avg-10-modified_beam_search-beam-size-4-2022-05-28-00-56-56

@@ -0,0 +1,45 @@
+2022-05-28 00:56:56,982 INFO [decode.py:495] Decoding started
+2022-05-28 00:56:56,982 INFO [decode.py:501] Device: cuda:0
+2022-05-28 00:56:56,986 INFO [decode.py:511] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, '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': 3000, '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': '1.1.0', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'stateless6', 'icefall-git-sha1': '50641cd-dirty', 'icefall-git-date': 'Fri May 27 13:49:39 2022', 'icefall-path': '/ceph-data2/ly/open_source/vq2_icefall', 'k2-path': '/ceph-jb/yaozengwei/workspace/rnnt/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-ly/open-source/hubert/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-9-0425111216-65f66bdf4-bkrql', 'IP address': '10.177.77.9'}, 'enable_distiallation': False, 'distillation_layer': 5, 'num_codebooks': 16, 'epoch': 50, 'iter': 0, 'avg': 10, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless6/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'full_libri': True, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200, 'bucketing_sampler': True, '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', 'res_dir': PosixPath('pruned_transducer_stateless6/exp/modified_beam_search'), 'suffix': 'epoch-50-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2022-05-28 00:56:56,986 INFO [decode.py:513] About to create model
+2022-05-28 00:56:57,443 INFO [decode.py:542] averaging ['pruned_transducer_stateless6/exp/epoch-41.pt', 'pruned_transducer_stateless6/exp/epoch-42.pt', 'pruned_transducer_stateless6/exp/epoch-43.pt', 'pruned_transducer_stateless6/exp/epoch-44.pt', 'pruned_transducer_stateless6/exp/epoch-45.pt', 'pruned_transducer_stateless6/exp/epoch-46.pt', 'pruned_transducer_stateless6/exp/epoch-47.pt', 'pruned_transducer_stateless6/exp/epoch-48.pt', 'pruned_transducer_stateless6/exp/epoch-49.pt', 'pruned_transducer_stateless6/exp/epoch-50.pt']
+2022-05-28 00:57:57,632 INFO [decode.py:602] Number of model parameters: 78648040
+2022-05-28 00:57:57,632 INFO [asr_datamodule.py:439] About to get test-clean cuts
+2022-05-28 00:57:57,771 INFO [asr_datamodule.py:444] About to get test-other cuts
+2022-05-28 00:57:59,790 INFO [decode.py:406] batch 0/?, cuts processed until now is 41
+2022-05-28 00:58:14,979 INFO [decode.py:406] batch 10/?, cuts processed until now is 345
+2022-05-28 00:58:30,827 INFO [decode.py:406] batch 20/?, cuts processed until now is 515
+2022-05-28 00:58:44,850 INFO [decode.py:406] batch 30/?, cuts processed until now is 791
+2022-05-28 00:58:58,894 INFO [decode.py:406] batch 40/?, cuts processed until now is 1054
+2022-05-28 00:59:13,309 INFO [decode.py:406] batch 50/?, cuts processed until now is 1362
+2022-05-28 00:59:26,933 INFO [decode.py:406] batch 60/?, cuts processed until now is 1659
+2022-05-28 00:59:39,786 INFO [decode.py:406] batch 70/?, cuts processed until now is 1888
+2022-05-28 00:59:54,217 INFO [decode.py:406] batch 80/?, cuts processed until now is 2185
+2022-05-28 01:00:08,013 INFO [decode.py:406] batch 90/?, cuts processed until now is 2388
+2022-05-28 01:00:20,181 INFO [decode.py:406] batch 100/?, cuts processed until now is 2560
+2022-05-28 01:00:26,691 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-clean-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 01:00:26,795 INFO [utils.py:409] [test-clean-beam_size_4] %WER 6.75% [3548 / 52576, 357 ins, 376 del, 2815 sub ]
+2022-05-28 01:00:27,048 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-clean-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 01:00:27,049 INFO [decode.py:453] 
+For test-clean, WER of different settings are:
+beam_size_4	6.75	best for test-clean
+
+2022-05-28 01:00:28,634 INFO [decode.py:406] batch 0/?, cuts processed until now is 46
+2022-05-28 01:00:41,808 INFO [decode.py:406] batch 10/?, cuts processed until now is 382
+2022-05-28 01:00:57,023 INFO [decode.py:406] batch 20/?, cuts processed until now is 577
+2022-05-28 01:01:10,166 INFO [decode.py:406] batch 30/?, cuts processed until now is 887
+2022-05-28 01:01:23,343 INFO [decode.py:406] batch 40/?, cuts processed until now is 1187
+2022-05-28 01:01:36,759 INFO [decode.py:406] batch 50/?, cuts processed until now is 1518
+2022-05-28 01:01:49,861 INFO [decode.py:406] batch 60/?, cuts processed until now is 1848
+2022-05-28 01:02:02,563 INFO [decode.py:406] batch 70/?, cuts processed until now is 2133
+2022-05-28 01:02:14,394 INFO [decode.py:406] batch 80/?, cuts processed until now is 2419
+2022-05-28 01:02:27,202 INFO [decode.py:406] batch 90/?, cuts processed until now is 2685
+2022-05-28 01:02:36,533 INFO [decode.py:406] batch 100/?, cuts processed until now is 2868
+2022-05-28 01:02:44,619 INFO [decode.py:423] The transcripts are stored in pruned_transducer_stateless6/exp/modified_beam_search/recogs-test-other-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 01:02:44,715 INFO [utils.py:409] [test-other-beam_size_4] %WER 17.68% [9254 / 52343, 873 ins, 1189 del, 7192 sub ]
+2022-05-28 01:02:44,959 INFO [decode.py:436] Wrote detailed error stats to pruned_transducer_stateless6/exp/modified_beam_search/errs-test-other-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-28 01:02:44,960 INFO [decode.py:453] 
+For test-other, WER of different settings are:
+beam_size_4	17.68	best for test-other
+
+2022-05-28 01:02:44,960 INFO [decode.py:630] Done!

baseline/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	7.09

baseline/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	6.83

baseline/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	6.73

baseline/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	6.75

baseline/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-20-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	18.88

baseline/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-30-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	18.19

baseline/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-40-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	17.79

baseline/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-50-avg-10-modified_beam_search-beam-size-4.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	17.68

baseline/tensorboard/events.out.tfevents.1653631042.de-74279-k2-train-9-0425111216-65f66bdf4-bkrql.3353137.0

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distillation/epoch_20-avg_10.pt

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distillation/epoch_30-avg_10.pt

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distillation/epoch_40-avg_10.pt

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distillation/epoch_50-avg_10.pt

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