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icefall-asr-librispeech-pruned-transducer-stateless-2022-03-12

K2
English
icefall
transducer
librispeech
ASR
stateless transducer
PyTorch
RNN-T
pruned RNN-T
speech recognition
Model card Files Community
icefall-asr-librispeech-pruned-transducer-stateless-2022-03-12
File size: 22,883 Bytes 
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2022-03-12 10:40:40,428 INFO [decode.py:425] Decoding started
2022-03-12 10:40:40,428 INFO [decode.py:431] Device: cuda:0
2022-03-12 10:40:40,430 INFO [decode.py:440] {'feature_dim': 80, 'subsampling_factor': 4, 'attention_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'vgg_frontend': False, 'embedding_dim': 512, 'env_info': {'k2-version': '1.13', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '5ee082ea55f50e8bd42203ba266945ea5a236ab8', 'k2-git-date': 'Sun Feb 27 09:00:48 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': 'modified-beam-search-for-pruned-rnnt', 'icefall-git-sha1': 'ad62981-dirty', 'icefall-git-date': 'Fri Mar 4 15:38:23 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-pruned-rnnt', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-rnnt-ali/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-rnnt-ali/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0307202051-57dc848959-8tmmp', 'IP address': '10.177.24.138'}, 'epoch': 42, 'avg': 11, 'exp_dir': PosixPath('pruned_transducer_stateless/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'beam_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, 'full_libri': True, '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('pruned_transducer_stateless/exp/beam_search'), 'suffix': 'epoch-42-avg-11-beam-4', 'blank_id': 0, 'vocab_size': 500}
2022-03-12 10:40:40,431 INFO [decode.py:442] About to create model
2022-03-12 10:40:40,914 INFO [decode.py:453] averaging ['pruned_transducer_stateless/exp/epoch-32.pt', 'pruned_transducer_stateless/exp/epoch-33.pt', 'pruned_transducer_stateless/exp/epoch-34.pt', 'pruned_transducer_stateless/exp/epoch-35.pt', 'pruned_transducer_stateless/exp/epoch-36.pt', 'pruned_transducer_stateless/exp/epoch-37.pt', 'pruned_transducer_stateless/exp/epoch-38.pt', 'pruned_transducer_stateless/exp/epoch-39.pt', 'pruned_transducer_stateless/exp/epoch-40.pt', 'pruned_transducer_stateless/exp/epoch-41.pt', 'pruned_transducer_stateless/exp/epoch-42.pt']
2022-03-12 10:40:52,342 INFO [decode.py:462] Number of model parameters: 84514780
2022-03-12 10:40:52,342 INFO [asr_datamodule.py:379] About to get test-clean cuts
2022-03-12 10:40:52,454 INFO [asr_datamodule.py:384] About to get test-other cuts
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2022-03-12 11:26:44,050 INFO [decode.py:367] The transcripts are stored in pruned_transducer_stateless/exp/beam_search/recogs-test-clean-beam_4-epoch-42-avg-11-beam-4.txt
2022-03-12 11:26:44,122 INFO [utils.py:406] [test-clean-beam_4] %WER 2.57% [1352 / 52576, 148 ins, 96 del, 1108 sub ]
2022-03-12 11:26:44,290 INFO [decode.py:380] Wrote detailed error stats to pruned_transducer_stateless/exp/beam_search/errs-test-clean-beam_4-epoch-42-avg-11-beam-4.txt
2022-03-12 11:26:44,290 INFO [decode.py:397] 
For test-clean, WER of different settings are:
beam_4	2.57	best for test-clean

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2022-03-12 11:48:29,146 INFO [decode.py:350] batch 124/?, cuts processed until now is 1982
2022-03-12 11:48:50,911 INFO [decode.py:350] batch 126/?, cuts processed until now is 2007
2022-03-12 11:49:11,791 INFO [decode.py:350] batch 128/?, cuts processed until now is 2037
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2022-03-12 11:50:13,781 INFO [decode.py:350] batch 134/?, cuts processed until now is 2172
2022-03-12 11:50:34,792 INFO [decode.py:350] batch 136/?, cuts processed until now is 2206
2022-03-12 11:50:56,870 INFO [decode.py:350] batch 138/?, cuts processed until now is 2228
2022-03-12 11:51:17,397 INFO [decode.py:350] batch 140/?, cuts processed until now is 2238
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2022-03-12 11:57:12,133 INFO [decode.py:350] batch 176/?, cuts processed until now is 2721
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2022-03-12 11:57:48,955 INFO [decode.py:350] batch 180/?, cuts processed until now is 2758
2022-03-12 11:58:10,384 INFO [decode.py:350] batch 182/?, cuts processed until now is 2770
2022-03-12 11:58:31,137 INFO [decode.py:350] batch 184/?, cuts processed until now is 2786
2022-03-12 11:58:51,057 INFO [decode.py:350] batch 186/?, cuts processed until now is 2805
2022-03-12 11:59:11,045 INFO [decode.py:350] batch 188/?, cuts processed until now is 2817
2022-03-12 11:59:22,444 INFO [decode.py:350] batch 190/?, cuts processed until now is 2825
2022-03-12 11:59:40,563 INFO [decode.py:350] batch 192/?, cuts processed until now is 2843
2022-03-12 12:00:03,480 INFO [decode.py:350] batch 194/?, cuts processed until now is 2857
2022-03-12 12:00:25,593 INFO [decode.py:350] batch 196/?, cuts processed until now is 2871
2022-03-12 12:00:47,356 INFO [decode.py:350] batch 198/?, cuts processed until now is 2885
2022-03-12 12:01:08,797 INFO [decode.py:350] batch 200/?, cuts processed until now is 2899
2022-03-12 12:01:29,826 INFO [decode.py:350] batch 202/?, cuts processed until now is 2913
2022-03-12 12:01:50,130 INFO [decode.py:350] batch 204/?, cuts processed until now is 2927
2022-03-12 12:02:07,524 INFO [decode.py:350] batch 206/?, cuts processed until now is 2939
2022-03-12 12:02:07,603 INFO [decode.py:367] The transcripts are stored in pruned_transducer_stateless/exp/beam_search/recogs-test-other-beam_4-epoch-42-avg-11-beam-4.txt
2022-03-12 12:02:07,674 INFO [utils.py:406] [test-other-beam_4] %WER 6.27% [3282 / 52343, 340 ins, 284 del, 2658 sub ]
2022-03-12 12:02:07,845 INFO [decode.py:380] Wrote detailed error stats to pruned_transducer_stateless/exp/beam_search/errs-test-other-beam_4-epoch-42-avg-11-beam-4.txt
2022-03-12 12:02:07,846 INFO [decode.py:397] 
For test-other, WER of different settings are:
beam_4	6.27	best for test-other

2022-03-12 12:02:07,846 INFO [decode.py:489] Done!