2022-09-19 22:54:24,045 INFO [decode.py:698] Decoding started
2022-09-19 22:54:24,045 INFO [decode.py:704] Device: cpu
2022-09-19 22:54:24,050 INFO [decode.py:719] {'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, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.19', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '125d34703f898b5ca54f6f4a925f2bc2d7a5ba98', 'k2-git-date': 'Wed Aug 31 04:50:54 2022', 'lhotse-version': '1.6.0', 'torch-version': '1.12.1+cu113', 'torch-cuda-available': False, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'uk', 'icefall-git-sha1': '42c4476-dirty', 'icefall-git-date': 'Thu Sep 15 16:29:29 2022', 'icefall-path': '/home/proger/icefall', 'k2-path': '/home/proger/.local/lib/python3.8/site-packages/k2-1.19.dev20220916+cuda11.3.torch1.12.1-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/home/proger/.local/lib/python3.8/site-packages/lhotse/__init__.py', 'hostname': 'rt', 'IP address': '127.0.1.1'}, 'epoch': 31, 'iter': 0, 'avg': 12, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp-uk-filtered2'), 'bpe_model': 'uk/data/lang_bpe_250/bpe.model', 'lang_dir': PosixPath('uk/data/lang_bpe_250'), 'decoding_method': 'fast_beam_search_nbest_LG', 'beam_size': 4, 'beam': 20.0, 'ngram_lm_scale': 0.01, 'max_contexts': 8, 'max_states': 64, 'context_size': 2, 'max_sym_per_frame': 1, 'num_paths': 200, 'nbest_scale': 0.5, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': 18, 'dim_feedforward': 1024, 'nhead': 4, 'encoder_dim': 256, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': True, 'causal_convolution': True, 'short_chunk_size': 25, 'num_left_chunks': 4, 'full_libri': True, 'manifest_dir': PosixPath('uk/data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp-uk-filtered2/fast_beam_search_nbest_LG'), 'suffix': 'epoch-31-avg-12-beam-20.0-max-contexts-8-max-states-64-nbest-scale-0.5-num-paths-200-ngram-lm-scale-0.01-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 250}
2022-09-19 22:54:24,050 INFO [decode.py:721] About to create model
2022-09-19 22:54:24,162 INFO [decode.py:788] Calculating the averaged model over epoch range from 19 (excluded) to 31
2022-09-19 22:54:25,982 WARNING [decode.py:816] No uk/data/lang_bpe_250/LG.pt - using a trivial graph without a word table
2022-09-19 22:54:25,989 INFO [decode.py:832] Number of model parameters: 30053246
2022-09-19 22:54:25,989 INFO [asr_datamodule_uk.py:422] About to get ('train-other-shuffled-filtered2',) cuts
2022-09-19 22:54:26,653 INFO [asr_datamodule_uk.py:441] About to get test-other cuts
2022-09-19 22:54:43,726 INFO [decode.py:596] batch 0/?, cuts processed until now is 29
2022-09-19 22:59:48,659 INFO [decode.py:596] batch 20/?, cuts processed until now is 659
2022-09-19 23:04:53,039 INFO [decode.py:596] batch 40/?, cuts processed until now is 1323
2022-09-19 23:09:53,214 INFO [decode.py:596] batch 60/?, cuts processed until now is 2057
2022-09-19 23:14:57,627 INFO [decode.py:596] batch 80/?, cuts processed until now is 2763
2022-09-19 23:17:57,558 INFO [decode.py:614] The transcripts are stored in pruned_transducer_stateless5/exp-uk-filtered2/fast_beam_search_nbest_LG/recogs-test-other-beam_20.0_max_contexts_8_max_states_64_num_paths_200_nbest_scale_0.5_ngram_lm_scale_0.01-epoch-31-avg-12-beam-20.0-max-contexts-8-max-states-64-nbest-scale-0.5-num-paths-200-ngram-lm-scale-0.01-use-averaged-model.txt
2022-09-19 23:17:57,589 INFO [utils.py:428] [test-other-beam_20.0_max_contexts_8_max_states_64_num_paths_200_nbest_scale_0.5_ngram_lm_scale_0.01] %WER 17.26% [4188 / 24269, 513 ins, 578 del, 3097 sub ]
2022-09-19 23:17:57,668 INFO [decode.py:627] Wrote detailed error stats to pruned_transducer_stateless5/exp-uk-filtered2/fast_beam_search_nbest_LG/errs-test-other-beam_20.0_max_contexts_8_max_states_64_num_paths_200_nbest_scale_0.5_ngram_lm_scale_0.01-epoch-31-avg-12-beam-20.0-max-contexts-8-max-states-64-nbest-scale-0.5-num-paths-200-ngram-lm-scale-0.01-use-averaged-model.txt
2022-09-19 23:17:57,669 INFO [decode.py:644] 
For test-other, WER of different settings are:
beam_20.0_max_contexts_8_max_states_64_num_paths_200_nbest_scale_0.5_ngram_lm_scale_0.01	17.26	best for test-other

2022-09-19 23:17:57,669 INFO [decode.py:887] Done!