2022-05-14 21:20:02,527 INFO [decode.py:503] Decoding started
2022-05-14 21:20:02,528 INFO [decode.py:509] Device: cuda:0
2022-05-14 21:20:02,530 INFO [decode.py:518] {'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': '4fc1638-dirty', 'icefall-git-date': 'Sat May 14 10:41:06 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': 'r7n04', 'IP address': '10.1.7.4'}, 'epoch': 20, 'iter': 696000, 'avg': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'fast_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/fast_beam_search'), 'suffix': 'iter-696000-avg-10-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 500}
2022-05-14 21:20:02,530 INFO [decode.py:520] About to create model
2022-05-14 21:20:02,876 INFO [decode.py:537] 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']
2022-05-14 21:20:15,583 INFO [decode.py:562] Number of model parameters: 78648040
2022-05-14 21:20:15,583 INFO [asr_datamodule.py:337] About to get SPGISpeech dev cuts
2022-05-14 21:20:15,585 INFO [asr_datamodule.py:342] About to get SPGISpeech val cuts
2022-05-14 21:20:19,323 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
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2022-05-14 21:22:42,639 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt
2022-05-14 21:22:42,754 INFO [utils.py:405] [dev-beam_4_max_contexts_4_max_states_8] %WER 2.38% [2313 / 97304, 425 ins, 560 del, 1328 sub ]
2022-05-14 21:22:43,492 INFO [utils.py:405] [dev-beam_4_max_contexts_4_max_states_8] %WER 1.02% [4704 / 458995, 1515 ins, 2119 del, 1070 sub ]
2022-05-14 21:22:44,603 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/fast_beam_search/wers-dev-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt
2022-05-14 21:22:44,604 INFO [decode.py:464] 
For dev, WER/CER of different settings are:
beam_4_max_contexts_4_max_states_8	2.38	1.02	best for dev

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2022-05-14 21:44:16,466 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/fast_beam_search/recogs-val-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt
2022-05-14 21:44:17,650 INFO [utils.py:405] [val-beam_4_max_contexts_4_max_states_8] %WER 2.35% [22214 / 946469, 3948 ins, 5314 del, 12952 sub ]
2022-05-14 21:44:23,313 INFO [utils.py:405] [val-beam_4_max_contexts_4_max_states_8] %WER 0.97% [43619 / 4485920, 13689 ins, 20284 del, 9646 sub ]
2022-05-14 21:44:34,289 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/fast_beam_search/wers-val-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt
2022-05-14 21:44:34,291 INFO [decode.py:464] 
For val, WER/CER of different settings are:
beam_4_max_contexts_4_max_states_8	2.35	0.97	best for val

2022-05-14 21:44:34,310 INFO [decode.py:590] Done!