log/beam_search/log-decode-epoch-28-avg-15-beam-4-2022-05-11-08-17-51

2022-05-11 08:17:51,501 INFO [decode.py:459] Decoding started
2022-05-11 08:17:51,501 INFO [decode.py:465] Device: cuda:0
2022-05-11 08:17:51,519 INFO [decode.py:474] {'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, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'encoder_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'decoder_dim': 512, 'joiner_dim': 512, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.14', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': '1b29f0a946f50186aaa82df46a59f492ade9692b', 'k2-git-date': 'Tue Apr 12 20:46:49 2022', 'lhotse-version': '1.1.0', 'torch-version': '1.10.1+cu111', 'torch-cuda-available': True, 'torch-cuda-version': '11.1', 'python-version': '3.8', 'icefall-git-branch': 'spgi', 'icefall-git-sha1': '4e1205a-dirty', 'icefall-git-date': 'Tue May 10 20:51:30 2022', 'icefall-path': '/exp/draj/mini_scale_2022/icefall', 'k2-path': '/exp/draj/mini_scale_2022/k2/k2/python/k2/__init__.py', 'lhotse-path': '/exp/draj/mini_scale_2022/lhotse/lhotse/__init__.py', 'hostname': 'r8n03', 'IP address': '10.1.8.3'}, 'epoch': 28, 'avg': 15, 'avg_last_n': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'manifest_dir': PosixPath('data/manifests'), 'enable_musan': True, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'max_duration': 500, 'num_buckets': 30, 'on_the_fly_feats': False, 'shuffle': True, 'num_workers': 8, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'res_dir': PosixPath('pruned_transducer_stateless2/exp/v2/beam_search'), 'suffix': 'epoch-28-avg-15-beam-4', 'blank_id': 0, 'vocab_size': 500}
2022-05-11 08:17:51,519 INFO [decode.py:476] About to create model
2022-05-11 08:17:52,200 INFO [decode.py:481] averaging ['pruned_transducer_stateless2/exp/v2/checkpoint-696000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-688000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-680000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-672000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-664000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-656000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-648000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-640000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-632000.pt', 'pruned_transducer_stateless2/exp/v2/checkpoint-624000.pt']
2022-05-11 08:19:24,865 INFO [decode.py:506] Number of model parameters: 78648040
2022-05-11 08:19:24,866 INFO [asr_datamodule.py:326] About to get SPGISpeech dev cuts
2022-05-11 08:19:24,889 INFO [asr_datamodule.py:331] About to get SPGISpeech val cuts
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2022-05-11 10:11:22,305 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/beam_search/recogs-dev-beam_size_4-epoch-28-avg-15-beam-4.txt
2022-05-11 10:11:22,418 INFO [utils.py:405] [dev-beam_size_4] %WER 2.27% [2207 / 97304, 458 ins, 441 del, 1308 sub ]
2022-05-11 10:11:22,665 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/beam_search/errs-dev-beam_size_4-epoch-28-avg-15-beam-4.txt
2022-05-11 10:11:22,666 INFO [decode.py:426] 
For dev, WER of different settings are:
beam_size_4	2.27	best for dev

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2022-05-12 04:28:35,684 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/beam_search/recogs-val-beam_size_4-epoch-28-avg-15-beam-4.txt
2022-05-12 04:28:36,954 INFO [utils.py:405] [val-beam_size_4] %WER 2.24% [21179 / 946469, 4365 ins, 4129 del, 12685 sub ]
2022-05-12 04:28:39,267 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/beam_search/errs-val-beam_size_4-epoch-28-avg-15-beam-4.txt
2022-05-12 04:28:39,268 INFO [decode.py:426] 
For val, WER of different settings are:
beam_size_4	2.24	best for val

2022-05-12 04:28:39,268 INFO [decode.py:534] Done!