icefall_asr_wenetspeech_pruned_transducer_stateless2
/
log
/fast_beam_search_nbest_LG
/log-decode-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ngram-lm-scale-0.35-2022-07-26-11-26-29
| 2022-07-26 11:26:29,690 INFO [decode.py:602] Decoding started | |
| 2022-07-26 11:26:29,690 INFO [decode.py:608] Device: cuda:0 | |
| 2022-07-26 11:26:30,956 INFO [lexicon.py:176] Loading pre-compiled data/lang_char_lg/Linv.pt | |
| 2022-07-26 11:26:31,128 INFO [decode.py:619] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 10, 'log_interval': 1, 'reset_interval': 200, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.5.0.dev+git.7cce647.dirty', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'add-LG-decoding-method-for-pruned-rnnt2', 'icefall-git-sha1': '749dfcd-dirty', 'icefall-git-date': 'Mon Jul 18 22:08:42 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.5.0.dev0+git.7cce647.dirty-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-0616225511-78bf4545d8-tv52r', 'IP address': '10.177.77.9'}, 'epoch': 10, 'batch': None, 'avg': 2, 'avg_last_n': 0, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp'), 'lang_dir': 'data/lang_char_lg', 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'ngram_lm_scale': 0.35, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 300, '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, 'training_subset': 'L', 'res_dir': PosixPath('pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG'), 'suffix': 'epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35', 'blank_id': 0, 'vocab_size': 5537} | |
| 2022-07-26 11:26:31,129 INFO [decode.py:621] About to create model | |
| 2022-07-26 11:26:31,759 INFO [decode.py:642] averaging ['pruned_transducer_stateless2/exp/epoch-9.pt', 'pruned_transducer_stateless2/exp/epoch-10.pt'] | |
| 2022-07-26 11:26:41,293 INFO [decode.py:653] Loading data/lang_char_lg/LG.pt | |
| 2022-07-26 11:26:50,549 INFO [decode.py:666] Number of model parameters: 88978927 | |
| 2022-07-26 11:26:50,552 INFO [asr_datamodule.py:347] About to create dev dataset | |
| 2022-07-26 11:26:54,648 INFO [asr_datamodule.py:368] About to create dev dataloader | |
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| 2022-07-26 11:35:50,148 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:35:50,610 INFO [utils.py:410] [DEV-beam_size_4] %WER 8.83% [29176 / 330498, 3406 ins, 13970 del, 11800 sub ] | |
| 2022-07-26 11:35:51,804 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-DEV-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:35:51,804 INFO [decode.py:564] | |
| For DEV, WER of different settings are: | |
| beam_size_4 8.83 best for DEV | |
| 2022-07-26 11:36:01,658 INFO [decode.py:517] batch 0/?, cuts processed until now is 87 | |
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| 2022-07-26 11:44:56,950 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:44:57,579 INFO [utils.py:410] [TEST_NET-beam_size_4] %WER 9.88% [41083 / 415747, 5532 ins, 12298 del, 23253 sub ] | |
| 2022-07-26 11:44:59,142 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_NET-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:44:59,142 INFO [decode.py:564] | |
| For TEST_NET, WER of different settings are: | |
| beam_size_4 9.88 best for TEST_NET | |
| 2022-07-26 11:45:08,560 INFO [decode.py:517] batch 0/?, cuts processed until now is 56 | |
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| 2022-07-26 11:53:35,350 INFO [decode.py:534] The transcripts are stored in pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/recogs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:53:35,666 INFO [utils.py:410] [TEST_MEETING-beam_size_4] %WER 15.47% [34085 / 220385, 3626 ins, 17890 del, 12569 sub ] | |
| 2022-07-26 11:53:36,487 INFO [decode.py:547] Wrote detailed error stats to pruned_transducer_stateless2/exp/fast_beam_search_nbest_LG/errs-TEST_MEETING-beam_size_4-epoch-10-avg-2-beam-20.0-max-contexts-8-max-states-64-ori-ngram-lm-scale-0.35.txt | |
| 2022-07-26 11:53:36,488 INFO [decode.py:564] | |
| For TEST_MEETING, WER of different settings are: | |
| beam_size_4 15.47 best for TEST_MEETING | |
| 2022-07-26 11:53:36,488 INFO [decode.py:766] Done! | |