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icefall-asr-librispeech-100h-transducer-stateless-multi-datasets-bpe-500-2022-02-21

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icefall-asr-librispeech-100h-transducer-stateless-multi-datasets-bpe-500-2022-02-21
File size: 23,530 Bytes 
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2022-02-20 11:57:47,740 INFO [decode.py:421] Decoding started
2022-02-20 11:57:47,740 INFO [decode.py:427] Device: cpu
2022-02-20 11:57:47,742 INFO [decode.py:436] {'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': False, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'multiple-datasets', 'icefall-git-sha1': '61b0019-dirty', 'icefall-git-date': 'Thu Feb 17 18:34:48 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-multi-datasets', '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-multi-datasets/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-5-0816110343-9647676d5-sqn62', 'IP address': '10.177.63.199'}, 'epoch': 57, 'avg': 17, 'exp_dir': PosixPath('transducer_stateless_multi_datasets/exp-100-2'), 'bpe_model': './data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, '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_multi_datasets/exp-100-2/modified_beam_search'), 'suffix': 'epoch-57-avg-17-beam-4', 'blank_id': 0, 'vocab_size': 500}
2022-02-20 11:57:47,743 INFO [decode.py:438] About to create model
2022-02-20 11:57:48,209 INFO [decode.py:449] averaging ['transducer_stateless_multi_datasets/exp-100-2/epoch-41.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-42.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-43.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-44.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-45.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-46.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-47.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-48.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-49.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-50.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-51.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-52.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-53.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-54.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-55.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-56.pt', 'transducer_stateless_multi_datasets/exp-100-2/epoch-57.pt']
2022-02-20 11:58:06,598 INFO [decode.py:460] Number of model parameters: 84521448
2022-02-20 11:58:06,598 INFO [librispeech.py:58] About to get test-clean cuts from data/fbank/cuts_test-clean.json.gz
2022-02-20 11:58:06,782 INFO [librispeech.py:63] About to get test-other cuts from data/fbank/cuts_test-other.json.gz
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2022-02-20 12:37:34,995 INFO [decode.py:363] The transcripts are stored in transducer_stateless_multi_datasets/exp-100-2/modified_beam_search/recogs-test-clean-beam_4-epoch-57-avg-17-beam-4.txt
2022-02-20 12:37:35,076 INFO [utils.py:404] [test-clean-beam_4] %WER 6.31% [3315 / 52576, 365 ins, 308 del, 2642 sub ]
2022-02-20 12:37:35,305 INFO [decode.py:376] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-100-2/modified_beam_search/errs-test-clean-beam_4-epoch-57-avg-17-beam-4.txt
2022-02-20 12:37:35,306 INFO [decode.py:393] 
For test-clean, WER of different settings are:
beam_4	6.31	best for test-clean

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2022-02-20 13:16:32,360 INFO [decode.py:363] The transcripts are stored in transducer_stateless_multi_datasets/exp-100-2/modified_beam_search/recogs-test-other-beam_4-epoch-57-avg-17-beam-4.txt
2022-02-20 13:16:32,445 INFO [utils.py:404] [test-other-beam_4] %WER 16.30% [8531 / 52343, 860 ins, 936 del, 6735 sub ]
2022-02-20 13:16:32,689 INFO [decode.py:376] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-100-2/modified_beam_search/errs-test-other-beam_4-epoch-57-avg-17-beam-4.txt
2022-02-20 13:16:32,690 INFO [decode.py:393] 
For test-other, WER of different settings are:
beam_4	16.3	best for test-other

2022-02-20 13:16:32,690 INFO [decode.py:488] Done!