2022-07-26 12:43:30,147 INFO [decode.py:523] Decoding started
2022-07-26 12:43:30,147 INFO [decode.py:529] Device: cuda:0
2022-07-26 12:43:31,426 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
2022-07-26 12:43:31,518 INFO [decode.py:540] {'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, 'feature_dim': 80, 'subsampling_factor': 4, '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': 'pruned-rnnt5-for-wenetspeech', 'icefall-git-sha1': '4bf8392-dirty', 'icefall-git-date': 'Mon Jul 25 16:11:59 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': 4, 'iter': 0, 'avg': 1, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp_L_offline'), 'lang_dir': 'data/lang_char', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': False, 'causal_convolution': False, 'short_chunk_size': 25, 'num_left_chunks': 4, '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_stateless5/exp_L_offline/modified_beam_search'), 'suffix': 'epoch-4-avg-1-beam-4', 'blank_id': 0, 'vocab_size': 5537}
2022-07-26 12:43:31,518 INFO [decode.py:542] About to create model
2022-07-26 12:43:32,095 INFO [decode.py:609] Calculating the averaged model over epoch range from 3 (excluded) to 4
2022-07-26 12:43:41,770 INFO [decode.py:632] Number of model parameters: 97487351
2022-07-26 12:43:41,775 INFO [asr_datamodule.py:347] About to create dev dataset
2022-07-26 12:43:46,063 INFO [asr_datamodule.py:368] About to create dev dataloader
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2022-07-26 12:58:11,725 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-DEV-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 12:58:12,206 INFO [utils.py:410] [DEV-beam_size_4] %WER 8.17% [27007 / 330498, 3198 ins, 9952 del, 13857 sub ]
2022-07-26 12:58:13,455 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-DEV-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 12:58:13,456 INFO [decode.py:490] 
For DEV, WER of different settings are:
beam_size_4	8.17	best for DEV

2022-07-26 12:58:28,119 INFO [decode.py:443] batch 0/?, cuts processed until now is 87
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2022-07-26 13:15:50,149 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-TEST_NET-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 13:15:50,763 INFO [utils.py:410] [TEST_NET-beam_size_4] %WER 9.04% [37582 / 415747, 4887 ins, 7674 del, 25021 sub ]
2022-07-26 13:15:52,346 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-TEST_NET-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 13:15:52,346 INFO [decode.py:490] 
For TEST_NET, WER of different settings are:
beam_size_4	9.04	best for TEST_NET

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2022-07-26 13:26:30,574 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp_L_offline/modified_beam_search/recogs-TEST_MEETING-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 13:26:30,879 INFO [utils.py:410] [TEST_MEETING-beam_size_4] %WER 14.44% [31827 / 220385, 2931 ins, 15491 del, 13405 sub ]
2022-07-26 13:26:31,693 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp_L_offline/modified_beam_search/errs-TEST_MEETING-beam_size_4-epoch-4-avg-1-beam-4.txt
2022-07-26 13:26:31,693 INFO [decode.py:490] 
For TEST_MEETING, WER of different settings are:
beam_size_4	14.44	best for TEST_MEETING

2022-07-26 13:26:31,694 INFO [decode.py:731] Done!