small_bpe_500/decode_results/greedy_search/log-epoch-30-avg-1-context-2-max-sym-per-frame-1-uam-2023-01-06-03-52-59

2023-01-06 03:52:59,856 INFO [decode.py:565] Decoding started
2023-01-06 03:52:59,856 INFO [decode.py:571] Device: cuda:0
2023-01-06 03:53:00,031 INFO [lexicon.py:168] Loading pre-compiled data/lang_bpe_500/Linv.pt
2023-01-06 03:53:00,067 INFO [decode.py:588] { 'activation': 'doubleswish',
  'avg': 1,
  'batch_idx_train': 0,
  'beam': 20.0,
  'beam_size': 4,
  'best_train_epoch': -1,
  'best_train_loss': inf,
  'best_valid_epoch': -1,
  'best_valid_loss': inf,
  'blank_id': 0,
  'bucketing_sampler': True,
  'channels': 256,
  'concatenate_cuts': False,
  'context_size': 2,
  'conv_layers': 10,
  'decoder_dim': 256,
  'decoding_method': 'greedy_search',
  'drop_last': True,
  'duration_factor': 1.0,
  'enable_musan': True,
  'enable_spec_aug': True,
  'encoder_dim': 256,
  'env_info': { 'IP address': '127.0.1.1',
                'hostname': 'kao-dgxa-f12-u17',
                'icefall-git-branch': 'tiny',
                'icefall-git-date': 'Mon Jan 2 00:08:32 2023',
                'icefall-git-sha1': '2fd970b-dirty',
                'icefall-path': '/home/jsong/git/icefall',
                'k2-build-type': 'Release',
                'k2-git-date': 'Fri Nov 25 08:23:51 2022',
                'k2-git-sha1': '1feafa064cf3b6c243e6b33b0192601224210937',
                'k2-path': '/home/jsong/miniconda3/envs/k2/lib/python3.9/site-packages/k2/__init__.py',
                'k2-version': '1.23.2',
                'k2-with-cuda': True,
                'lhotse-path': '/home/jsong/miniconda3/envs/k2/lib/python3.9/site-packages/lhotse/__init__.py',
                'lhotse-version': '1.7.0',
                'python-version': '3.9',
                'torch-cuda-available': True,
                'torch-cuda-version': '11.3',
                'torch-version': '1.12.0'},
  'epoch': 30,
  'exp_dir': PosixPath('tiny_transducer_ctc/exp_1m_bpe500_halfdelay'),
  'feature_dim': 80,
  'full_libri': True,
  'gap': 1.0,
  'input_strategy': 'PrecomputedFeatures',
  'iter': 0,
  'joiner_dim': 256,
  'lang_dir': PosixPath('data/lang_bpe_500'),
  'log_interval': 500,
  'manifest_dir': PosixPath('data/fbank'),
  'max_contexts': 8,
  'max_duration': 600,
  'max_states': 64,
  'max_sym_per_frame': 1,
  'nbest_scale': 0.5,
  'ngram_lm_scale': 0.1,
  'num_buckets': 30,
  'num_paths': 100,
  'num_workers': 2,
  'on_the_fly_feats': False,
  'res_dir': PosixPath('tiny_transducer_ctc/exp_1m_bpe500_halfdelay/greedy_search'),
  'reset_interval': 200,
  'return_cuts': True,
  'shuffle': True,
  'skip_add': False,
  'spec_aug_time_warp_factor': 80,
  'subsampling_factor': 4,
  'suffix': 'epoch-30-avg-1-context-2-max-sym-per-frame-1-uam',
  'unk_id': 2,
  'use_averaged_model': True,
  'use_double_scores': True,
  'use_dscnn': True,
  'valid_interval': 9000,
  'vocab_size': 500,
  'warm_step': 5000}
2023-01-06 03:53:00,068 INFO [decode.py:590] About to create model
2023-01-06 03:53:02,340 INFO [train.py:425] Encoder MAC ops for 10 seconds of audio is 219.86M
2023-01-06 03:53:02,343 INFO [decode.py:659] Calculating the averaged model over epoch range from 29 (excluded) to 30
2023-01-06 03:53:02,551 INFO [decode.py:697] Number of model parameters: 1623264
2023-01-06 03:53:02,551 INFO [decode.py:698] Parameters for transducer decoding: 1237764
2023-01-06 03:53:02,552 INFO [asr_datamodule.py:443] About to get test-clean cuts
2023-01-06 03:53:02,552 INFO [asr_datamodule.py:450] About to get test-other cuts
2023-01-06 03:53:04,479 INFO [decode.py:459] batch 0/?, cuts processed until now is 43
2023-01-06 03:53:17,072 INFO [decode.py:478] The transcripts are stored in tiny_transducer_ctc/exp_1m_bpe500_halfdelay/greedy_search/recogs-test-clean-greedy_search-epoch-30-avg-1-context-2-max-sym-per-frame-1-uam.txt
2023-01-06 03:53:17,143 INFO [utils.py:536] [test-clean-greedy_search] %WER 14.47% [7610 / 52576, 868 ins, 906 del, 5836 sub ]
2023-01-06 03:53:17,300 INFO [decode.py:491] Wrote detailed error stats to tiny_transducer_ctc/exp_1m_bpe500_halfdelay/greedy_search/errs-test-clean-greedy_search-epoch-30-avg-1-context-2-max-sym-per-frame-1-uam.txt
2023-01-06 03:53:17,300 INFO [decode.py:508] 
For test-clean, WER of different settings are:
greedy_search	14.47	best for test-clean

2023-01-06 03:53:17,848 INFO [decode.py:459] batch 0/?, cuts processed until now is 52
2023-01-06 03:53:28,786 INFO [decode.py:478] The transcripts are stored in tiny_transducer_ctc/exp_1m_bpe500_halfdelay/greedy_search/recogs-test-other-greedy_search-epoch-30-avg-1-context-2-max-sym-per-frame-1-uam.txt
2023-01-06 03:53:28,866 INFO [utils.py:536] [test-other-greedy_search] %WER 32.03% [16768 / 52343, 1530 ins, 2748 del, 12490 sub ]
2023-01-06 03:53:29,049 INFO [decode.py:491] Wrote detailed error stats to tiny_transducer_ctc/exp_1m_bpe500_halfdelay/greedy_search/errs-test-other-greedy_search-epoch-30-avg-1-context-2-max-sym-per-frame-1-uam.txt
2023-01-06 03:53:29,049 INFO [decode.py:508] 
For test-other, WER of different settings are:
greedy_search	32.03	best for test-other

2023-01-06 03:53:29,049 INFO [decode.py:730] Done!