updated logs with CER

log/{beam_search/errs-dev-beam_size_4-epoch-28-avg-15-beam-4.txt → fast_beam_search/cers-dev-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt}

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+size 937172

log/{beam_search/errs-val-beam_size_4-epoch-28-avg-15-beam-4.txt → fast_beam_search/cers-val-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt}

@@ -1,3 +1,3 @@
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+size 9115722

log/fast_beam_search/log-decode-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8-2022-05-14-17-37-44

@@ -0,0 +1,8 @@
+2022-05-14 17:37:44,304 INFO [decode.py:503] Decoding started
+2022-05-14 17:37:44,304 INFO [decode.py:509] Device: cuda:0
+2022-05-14 17:37:44,360 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': 'r8n04', 'IP address': '10.1.8.4'}, '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 17:37:44,360 INFO [decode.py:520] About to create model
+2022-05-14 17:37:45,039 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 17:39:25,683 INFO [decode.py:562] Number of model parameters: 78648040
+2022-05-14 17:39:25,683 INFO [asr_datamodule.py:337] About to get SPGISpeech dev cuts
+2022-05-14 17:39:25,692 INFO [asr_datamodule.py:342] About to get SPGISpeech val cuts

log/fast_beam_search/log-decode-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8-2022-05-14-21-20-02

@@ -0,0 +1,431 @@
+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
+2022-05-14 21:20:22,806 INFO [decode.py:391] batch 2/?, cuts processed until now is 177
+2022-05-14 21:20:26,797 INFO [decode.py:391] batch 4/?, cuts processed until now is 266
+2022-05-14 21:20:30,872 INFO [decode.py:391] batch 6/?, cuts processed until now is 351
+2022-05-14 21:20:34,707 INFO [decode.py:391] batch 8/?, cuts processed until now is 444
+2022-05-14 21:20:38,968 INFO [decode.py:391] batch 10/?, cuts processed until now is 526
+2022-05-14 21:20:42,874 INFO [decode.py:391] batch 12/?, cuts processed until now is 620
+2022-05-14 21:20:46,351 INFO [decode.py:391] batch 14/?, cuts processed until now is 735
+2022-05-14 21:20:49,493 INFO [decode.py:391] batch 16/?, cuts processed until now is 872
+2022-05-14 21:20:53,576 INFO [decode.py:391] batch 18/?, cuts processed until now is 958
+2022-05-14 21:20:58,104 INFO [decode.py:391] batch 20/?, cuts processed until now is 1029
+2022-05-14 21:21:01,680 INFO [decode.py:391] batch 22/?, cuts processed until now is 1145
+2022-05-14 21:21:05,095 INFO [decode.py:391] batch 24/?, cuts processed until now is 1290
+2022-05-14 21:21:09,424 INFO [decode.py:391] batch 26/?, cuts processed until now is 1379
+2022-05-14 21:21:13,641 INFO [decode.py:391] batch 28/?, cuts processed until now is 1490
+2022-05-14 21:21:17,608 INFO [decode.py:391] batch 30/?, cuts processed until now is 1582
+2022-05-14 21:21:21,748 INFO [decode.py:391] batch 32/?, cuts processed until now is 1664
+2022-05-14 21:21:25,625 INFO [decode.py:391] batch 34/?, cuts processed until now is 1758
+2022-05-14 21:21:29,761 INFO [decode.py:391] batch 36/?, cuts processed until now is 1840
+2022-05-14 21:21:33,769 INFO [decode.py:391] batch 38/?, cuts processed until now is 1929
+2022-05-14 21:21:37,393 INFO [decode.py:391] batch 40/?, cuts processed until now is 2054
+2022-05-14 21:21:40,305 INFO [decode.py:391] batch 42/?, cuts processed until now is 2215
+2022-05-14 21:21:43,617 INFO [decode.py:391] batch 44/?, cuts processed until now is 2348
+2022-05-14 21:21:47,584 INFO [decode.py:391] batch 46/?, cuts processed until now is 2437
+2022-05-14 21:21:51,096 INFO [decode.py:391] batch 48/?, cuts processed until now is 2542
+2022-05-14 21:21:54,255 INFO [decode.py:391] batch 50/?, cuts processed until now is 2672
+2022-05-14 21:21:57,620 INFO [decode.py:391] batch 52/?, cuts processed until now is 2786
+2022-05-14 21:22:01,487 INFO [decode.py:391] batch 54/?, cuts processed until now is 2883
+2022-05-14 21:22:05,105 INFO [decode.py:391] batch 56/?, cuts processed until now is 2997
+2022-05-14 21:22:08,139 INFO [decode.py:391] batch 58/?, cuts processed until now is 3143
+2022-05-14 21:22:11,841 INFO [decode.py:391] batch 60/?, cuts processed until now is 3235
+2022-05-14 21:22:14,995 INFO [decode.py:391] batch 62/?, cuts processed until now is 3376
+2022-05-14 21:22:19,251 INFO [decode.py:391] batch 64/?, cuts processed until now is 3454
+2022-05-14 21:22:22,984 INFO [decode.py:391] batch 66/?, cuts processed until now is 3576
+2022-05-14 21:22:26,214 INFO [decode.py:391] batch 68/?, cuts processed until now is 3704
+2022-05-14 21:22:28,786 INFO [decode.py:391] batch 70/?, cuts processed until now is 3783
+2022-05-14 21:22:32,225 INFO [decode.py:391] batch 72/?, cuts processed until now is 3829
+2022-05-14 21:22:34,954 INFO [decode.py:391] batch 74/?, cuts processed until now is 3885
+2022-05-14 21:22:37,660 INFO [decode.py:391] batch 76/?, cuts processed until now is 3934
+2022-05-14 21:22:40,545 INFO [decode.py:391] batch 78/?, cuts processed until now is 3985
+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
+
+2022-05-14 21:22:48,044 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-14 21:22:51,409 INFO [decode.py:391] batch 2/?, cuts processed until now is 179
+2022-05-14 21:22:55,329 INFO [decode.py:391] batch 4/?, cuts processed until now is 270
+2022-05-14 21:22:59,338 INFO [decode.py:391] batch 6/?, cuts processed until now is 356
+2022-05-14 21:23:03,173 INFO [decode.py:391] batch 8/?, cuts processed until now is 450
+2022-05-14 21:23:07,506 INFO [decode.py:391] batch 10/?, cuts processed until now is 534
+2022-05-14 21:23:11,449 INFO [decode.py:391] batch 12/?, cuts processed until now is 630
+2022-05-14 21:23:14,818 INFO [decode.py:391] batch 14/?, cuts processed until now is 748
+2022-05-14 21:23:17,920 INFO [decode.py:391] batch 16/?, cuts processed until now is 887
+2022-05-14 21:23:22,116 INFO [decode.py:391] batch 18/?, cuts processed until now is 974
+2022-05-14 21:23:26,613 INFO [decode.py:391] batch 20/?, cuts processed until now is 1047
+2022-05-14 21:23:29,974 INFO [decode.py:391] batch 22/?, cuts processed until now is 1165
+2022-05-14 21:23:32,890 INFO [decode.py:391] batch 24/?, cuts processed until now is 1313
+2022-05-14 21:23:36,797 INFO [decode.py:391] batch 26/?, cuts processed until now is 1402
+2022-05-14 21:23:40,547 INFO [decode.py:391] batch 28/?, cuts processed until now is 1514
+2022-05-14 21:23:44,283 INFO [decode.py:391] batch 30/?, cuts processed until now is 1608
+2022-05-14 21:23:48,349 INFO [decode.py:391] batch 32/?, cuts processed until now is 1692
+2022-05-14 21:23:52,317 INFO [decode.py:391] batch 34/?, cuts processed until now is 1788
+2022-05-14 21:23:56,321 INFO [decode.py:391] batch 36/?, cuts processed until now is 1870
+2022-05-14 21:24:00,326 INFO [decode.py:391] batch 38/?, cuts processed until now is 1961
+2022-05-14 21:24:03,873 INFO [decode.py:391] batch 40/?, cuts processed until now is 2088
+2022-05-14 21:24:06,617 INFO [decode.py:391] batch 42/?, cuts processed until now is 2250
+2022-05-14 21:24:09,931 INFO [decode.py:391] batch 44/?, cuts processed until now is 2382
+2022-05-14 21:24:14,323 INFO [decode.py:391] batch 46/?, cuts processed until now is 2457
+2022-05-14 21:24:17,742 INFO [decode.py:391] batch 48/?, cuts processed until now is 2564
+2022-05-14 21:24:20,948 INFO [decode.py:391] batch 50/?, cuts processed until now is 2687
+2022-05-14 21:24:24,781 INFO [decode.py:391] batch 52/?, cuts processed until now is 2779
+2022-05-14 21:24:28,032 INFO [decode.py:391] batch 54/?, cuts processed until now is 2895
+2022-05-14 21:24:31,706 INFO [decode.py:391] batch 56/?, cuts processed until now is 2998
+2022-05-14 21:24:35,314 INFO [decode.py:391] batch 58/?, cuts processed until now is 3113
+2022-05-14 21:24:38,796 INFO [decode.py:391] batch 60/?, cuts processed until now is 3236
+2022-05-14 21:24:42,964 INFO [decode.py:391] batch 62/?, cuts processed until now is 3315
+2022-05-14 21:24:46,100 INFO [decode.py:391] batch 64/?, cuts processed until now is 3442
+2022-05-14 21:24:49,878 INFO [decode.py:391] batch 66/?, cuts processed until now is 3533
+2022-05-14 21:24:53,441 INFO [decode.py:391] batch 68/?, cuts processed until now is 3645
+2022-05-14 21:24:57,300 INFO [decode.py:391] batch 70/?, cuts processed until now is 3732
+2022-05-14 21:25:01,131 INFO [decode.py:391] batch 72/?, cuts processed until now is 3824
+2022-05-14 21:25:05,586 INFO [decode.py:391] batch 74/?, cuts processed until now is 3897
+2022-05-14 21:25:09,266 INFO [decode.py:391] batch 76/?, cuts processed until now is 3991
+2022-05-14 21:25:12,932 INFO [decode.py:391] batch 78/?, cuts processed until now is 4099
+2022-05-14 21:25:16,573 INFO [decode.py:391] batch 80/?, cuts processed until now is 4192
+2022-05-14 21:25:20,387 INFO [decode.py:391] batch 82/?, cuts processed until now is 4284
+2022-05-14 21:25:23,620 INFO [decode.py:391] batch 84/?, cuts processed until now is 4402
+2022-05-14 21:25:26,762 INFO [decode.py:391] batch 86/?, cuts processed until now is 4525
+2022-05-14 21:25:30,346 INFO [decode.py:391] batch 88/?, cuts processed until now is 4648
+2022-05-14 21:25:34,032 INFO [decode.py:391] batch 90/?, cuts processed until now is 4742
+2022-05-14 21:25:36,853 INFO [decode.py:391] batch 92/?, cuts processed until now is 4891
+2022-05-14 21:25:39,836 INFO [decode.py:391] batch 94/?, cuts processed until now is 5020
+2022-05-14 21:25:42,552 INFO [decode.py:391] batch 96/?, cuts processed until now is 5181
+2022-05-14 21:25:46,497 INFO [decode.py:391] batch 98/?, cuts processed until now is 5264
+2022-05-14 21:25:50,213 INFO [decode.py:391] batch 100/?, cuts processed until now is 5355
+2022-05-14 21:25:53,828 INFO [decode.py:391] batch 102/?, cuts processed until now is 5451
+2022-05-14 21:25:57,580 INFO [decode.py:391] batch 104/?, cuts processed until now is 5543
+2022-05-14 21:26:01,751 INFO [decode.py:391] batch 106/?, cuts processed until now is 5622
+2022-05-14 21:26:05,607 INFO [decode.py:391] batch 108/?, cuts processed until now is 5715
+2022-05-14 21:26:09,313 INFO [decode.py:391] batch 110/?, cuts processed until now is 5805
+2022-05-14 21:26:12,434 INFO [decode.py:391] batch 112/?, cuts processed until now is 5927
+2022-05-14 21:26:16,157 INFO [decode.py:391] batch 114/?, cuts processed until now is 6035
+2022-05-14 21:26:20,398 INFO [decode.py:391] batch 116/?, cuts processed until now is 6111
+2022-05-14 21:26:23,705 INFO [decode.py:391] batch 118/?, cuts processed until now is 6217
+2022-05-14 21:26:26,617 INFO [decode.py:391] batch 120/?, cuts processed until now is 6363
+2022-05-14 21:26:29,681 INFO [decode.py:391] batch 122/?, cuts processed until now is 6490
+2022-05-14 21:26:33,109 INFO [decode.py:391] batch 124/?, cuts processed until now is 6596
+2022-05-14 21:26:36,420 INFO [decode.py:391] batch 126/?, cuts processed until now is 6709
+2022-05-14 21:26:39,611 INFO [decode.py:391] batch 128/?, cuts processed until now is 6843
+2022-05-14 21:26:42,585 INFO [decode.py:391] batch 130/?, cuts processed until now is 6982
+2022-05-14 21:26:45,495 INFO [decode.py:391] batch 132/?, cuts processed until now is 7128
+2022-05-14 21:26:49,984 INFO [decode.py:391] batch 134/?, cuts processed until now is 7201
+2022-05-14 21:26:53,642 INFO [decode.py:391] batch 136/?, cuts processed until now is 7310
+2022-05-14 21:26:56,416 INFO [decode.py:391] batch 138/?, cuts processed until now is 7473
+2022-05-14 21:27:00,249 INFO [decode.py:391] batch 140/?, cuts processed until now is 7566
+2022-05-14 21:27:04,040 INFO [decode.py:391] batch 142/?, cuts processed until now is 7675
+2022-05-14 21:27:07,376 INFO [decode.py:391] batch 144/?, cuts processed until now is 7794
+2022-05-14 21:27:10,641 INFO [decode.py:391] batch 146/?, cuts processed until now is 7916
+2022-05-14 21:27:14,329 INFO [decode.py:391] batch 148/?, cuts processed until now is 8040
+2022-05-14 21:27:17,329 INFO [decode.py:391] batch 150/?, cuts processed until now is 8187
+2022-05-14 21:27:20,411 INFO [decode.py:391] batch 152/?, cuts processed until now is 8326
+2022-05-14 21:27:24,037 INFO [decode.py:391] batch 154/?, cuts processed until now is 8426
+2022-05-14 21:27:26,826 INFO [decode.py:391] batch 156/?, cuts processed until now is 8603
+2022-05-14 21:27:30,872 INFO [decode.py:391] batch 158/?, cuts processed until now is 8685
+2022-05-14 21:27:34,591 INFO [decode.py:391] batch 160/?, cuts processed until now is 8793
+2022-05-14 21:27:37,890 INFO [decode.py:391] batch 162/?, cuts processed until now is 8920
+2022-05-14 21:27:41,000 INFO [decode.py:391] batch 164/?, cuts processed until now is 9052
+2022-05-14 21:27:44,497 INFO [decode.py:391] batch 166/?, cuts processed until now is 9153
+2022-05-14 21:27:47,979 INFO [decode.py:391] batch 168/?, cuts processed until now is 9262
+2022-05-14 21:27:51,544 INFO [decode.py:391] batch 170/?, cuts processed until now is 9389
+2022-05-14 21:27:54,928 INFO [decode.py:391] batch 172/?, cuts processed until now is 9518
+2022-05-14 21:27:58,641 INFO [decode.py:391] batch 174/?, cuts processed until now is 9626
+2022-05-14 21:28:02,224 INFO [decode.py:391] batch 176/?, cuts processed until now is 9729
+2022-05-14 21:28:05,815 INFO [decode.py:391] batch 178/?, cuts processed until now is 9831
+2022-05-14 21:28:10,116 INFO [decode.py:391] batch 180/?, cuts processed until now is 9906
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+2022-05-14 21:41:39,146 INFO [decode.py:391] batch 642/?, cuts processed until now is 35381
+2022-05-14 21:41:42,743 INFO [decode.py:391] batch 644/?, cuts processed until now is 35470
+2022-05-14 21:41:46,190 INFO [decode.py:391] batch 646/?, cuts processed until now is 35568
+2022-05-14 21:41:49,633 INFO [decode.py:391] batch 648/?, cuts processed until now is 35666
+2022-05-14 21:41:53,577 INFO [decode.py:391] batch 650/?, cuts processed until now is 35745
+2022-05-14 21:41:56,686 INFO [decode.py:391] batch 652/?, cuts processed until now is 35863
+2022-05-14 21:42:00,238 INFO [decode.py:391] batch 654/?, cuts processed until now is 35966
+2022-05-14 21:42:03,359 INFO [decode.py:391] batch 656/?, cuts processed until now is 36083
+2022-05-14 21:42:07,033 INFO [decode.py:391] batch 658/?, cuts processed until now is 36174
+2022-05-14 21:42:10,878 INFO [decode.py:391] batch 660/?, cuts processed until now is 36257
+2022-05-14 21:42:14,563 INFO [decode.py:391] batch 662/?, cuts processed until now is 36348
+2022-05-14 21:42:18,292 INFO [decode.py:391] batch 664/?, cuts processed until now is 36434
+2022-05-14 21:42:21,307 INFO [decode.py:391] batch 666/?, cuts processed until now is 36557
+2022-05-14 21:42:25,054 INFO [decode.py:391] batch 668/?, cuts processed until now is 36644
+2022-05-14 21:42:28,740 INFO [decode.py:391] batch 670/?, cuts processed until now is 36735
+2022-05-14 21:42:32,018 INFO [decode.py:391] batch 672/?, cuts processed until now is 36845
+2022-05-14 21:42:35,668 INFO [decode.py:391] batch 674/?, cuts processed until now is 36935
+2022-05-14 21:42:39,054 INFO [decode.py:391] batch 676/?, cuts processed until now is 37038
+2022-05-14 21:42:42,996 INFO [decode.py:391] batch 678/?, cuts processed until now is 37121
+2022-05-14 21:42:46,489 INFO [decode.py:391] batch 680/?, cuts processed until now is 37219
+2022-05-14 21:42:49,957 INFO [decode.py:391] batch 682/?, cuts processed until now is 37315
+2022-05-14 21:42:53,337 INFO [decode.py:391] batch 684/?, cuts processed until now is 37418
+2022-05-14 21:42:56,533 INFO [decode.py:391] batch 686/?, cuts processed until now is 37529
+2022-05-14 21:42:59,780 INFO [decode.py:391] batch 688/?, cuts processed until now is 37636
+2022-05-14 21:43:04,132 INFO [decode.py:391] batch 690/?, cuts processed until now is 37705
+2022-05-14 21:43:07,951 INFO [decode.py:391] batch 692/?, cuts processed until now is 37792
+2022-05-14 21:43:11,860 INFO [decode.py:391] batch 694/?, cuts processed until now is 37874
+2022-05-14 21:43:16,294 INFO [decode.py:391] batch 696/?, cuts processed until now is 37942
+2022-05-14 21:43:19,780 INFO [decode.py:391] batch 698/?, cuts processed until now is 38040
+2022-05-14 21:43:24,075 INFO [decode.py:391] batch 700/?, cuts processed until now is 38113
+2022-05-14 21:43:27,834 INFO [decode.py:391] batch 702/?, cuts processed until now is 38199
+2022-05-14 21:43:32,279 INFO [decode.py:391] batch 704/?, cuts processed until now is 38272
+2022-05-14 21:43:36,054 INFO [decode.py:391] batch 706/?, cuts processed until now is 38364
+2022-05-14 21:43:39,641 INFO [decode.py:391] batch 708/?, cuts processed until now is 38460
+2022-05-14 21:43:43,293 INFO [decode.py:391] batch 710/?, cuts processed until now is 38557
+2022-05-14 21:43:47,409 INFO [decode.py:391] batch 712/?, cuts processed until now is 38633
+2022-05-14 21:43:50,552 INFO [decode.py:391] batch 714/?, cuts processed until now is 38749
+2022-05-14 21:43:54,167 INFO [decode.py:391] batch 716/?, cuts processed until now is 38845
+2022-05-14 21:43:57,792 INFO [decode.py:391] batch 718/?, cuts processed until now is 38941
+2022-05-14 21:44:01,476 INFO [decode.py:391] batch 720/?, cuts processed until now is 39037
+2022-05-14 21:44:04,190 INFO [decode.py:391] batch 722/?, cuts processed until now is 39080
+2022-05-14 21:44:06,680 INFO [decode.py:391] batch 724/?, cuts processed until now is 39104
+2022-05-14 21:44:09,469 INFO [decode.py:391] batch 726/?, cuts processed until now is 39162
+2022-05-14 21:44:12,110 INFO [decode.py:391] batch 728/?, cuts processed until now is 39285
+2022-05-14 21:44:15,958 INFO [decode.py:391] batch 730/?, cuts processed until now is 39341
+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!

log/fast_beam_search/{wer-summary-val-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt → wer-summary-dev-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt}

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log/{beam_search/wer-summary-val-beam_size_4-epoch-28-avg-15-beam-4.txt → fast_beam_search/wer-summary-val-beam_4_max_contexts_4_max_states_8-iter-696000-avg-10-beam-4-max-contexts-4-max-states-8.txt}

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log/{beam_search/recogs-dev-beam_size_4-epoch-28-avg-15-beam-4.txt → greedy_search/cers-val-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt}

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log/greedy_search/log-decode-iter-696000-avg-10-context-2-max-sym-per-frame-1-2022-05-14-10-59-02

@@ -0,0 +1,13 @@
+2022-05-14 10:59:02,935 INFO [decode.py:499] Decoding started
+2022-05-14 10:59:02,935 INFO [decode.py:505] Device: cuda:0
+2022-05-14 10:59:02,938 INFO [decode.py:514] {'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': 'greedy_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/greedy_search'), 'suffix': 'iter-696000-avg-10-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 500}
+2022-05-14 10:59:02,938 INFO [decode.py:516] About to create model
+2022-05-14 10:59:03,290 INFO [decode.py:533] 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 10:59:14,664 INFO [decode.py:558] Number of model parameters: 78648040
+2022-05-14 10:59:14,665 INFO [asr_datamodule.py:337] About to get SPGISpeech dev cuts
+2022-05-14 10:59:14,668 INFO [asr_datamodule.py:342] About to get SPGISpeech val cuts
+2022-05-14 10:59:16,884 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-14 10:59:59,018 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/greedy_search/recogs-dev-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt
+2022-05-14 10:59:59,134 INFO [utils.py:405] [dev-greedy_search] %WER 2.46% [2390 / 97304, 412 ins, 591 del, 1387 sub ]
+2022-05-14 10:59:59,794 INFO [utils.py:405] [dev-greedy_search] %WER 1.02% [4704 / 458995, 1492 ins, 2118 del, 1094 sub ]
+2022-05-14 11:00:00,985 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/greedy_search/wers-dev-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt

log/greedy_search/{log-decode-epoch-28-avg-15-context-2-max-sym-per-frame-1-2022-05-11-08-06-04 → log-decode-iter-696000-avg-10-context-2-max-sym-per-frame-1-2022-05-14-11-07-31}

@@ -1,32 +1,34 @@
-2022-05-11 08:06:04,596 INFO [decode.py:459] Decoding started
-2022-05-11 08:06:04,597 INFO [decode.py:465] Device: cuda:0
-2022-05-11 08:06:04,600 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': 'r7n03', 'IP address': '10.1.7.3'}, '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': 'greedy_search', 'beam_size': 4, 'beam': 4.0, '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/greedy_search'), 'suffix': 'epoch-28-avg-15-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 500}
-2022-05-11 08:06:04,600 INFO [decode.py:476] About to create model
-2022-05-11 08:06:04,921 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 08:06:16,567 INFO [decode.py:506] Number of model parameters: 78648040
-2022-05-11 08:06:16,567 INFO [asr_datamodule.py:326] About to get SPGISpeech dev cuts
-2022-05-11 08:06:16,569 INFO [asr_datamodule.py:331] About to get SPGISpeech val cuts
-2022-05-11 08:06:18,639 INFO [decode.py:382] batch 0/?, cuts processed until now is 45
-2022-05-11 08:07:04,413 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/greedy_search/recogs-dev-greedy_search-epoch-28-avg-15-context-2-max-sym-per-frame-1.txt
-2022-05-11 08:07:04,534 INFO [utils.py:405] [dev-greedy_search] %WER 2.46% [2390 / 97304, 412 ins, 591 del, 1387 sub ]
-2022-05-11 08:07:04,801 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/greedy_search/errs-dev-greedy_search-epoch-28-avg-15-context-2-max-sym-per-frame-1.txt
-2022-05-11 08:07:04,803 INFO [decode.py:426] 
-For dev, WER of different settings are:
-greedy_search	2.46	best for dev
+2022-05-14 11:07:31,479 INFO [decode.py:503] Decoding started
+2022-05-14 11:07:31,480 INFO [decode.py:509] Device: cuda:0
+2022-05-14 11:07:31,505 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': 'r7n03', 'IP address': '10.1.7.3'}, 'epoch': 20, 'iter': 696000, 'avg': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'greedy_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/greedy_search'), 'suffix': 'iter-696000-avg-10-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 500}
+2022-05-14 11:07:31,505 INFO [decode.py:520] About to create model
+2022-05-14 11:07:32,313 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 11:09:35,201 INFO [decode.py:562] Number of model parameters: 78648040
+2022-05-14 11:09:35,201 INFO [asr_datamodule.py:337] About to get SPGISpeech dev cuts
+2022-05-14 11:09:35,246 INFO [asr_datamodule.py:342] About to get SPGISpeech val cuts
+2022-05-14 11:09:38,613 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-14 11:10:20,509 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/greedy_search/recogs-dev-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt
+2022-05-14 11:10:20,641 INFO [utils.py:405] [dev-greedy_search] %WER 2.46% [2390 / 97304, 412 ins, 591 del, 1387 sub ]
+2022-05-14 11:10:21,330 INFO [utils.py:405] [dev-greedy_search] %WER 1.02% [4704 / 458995, 1492 ins, 2118 del, 1094 sub ]
+2022-05-14 11:10:22,401 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/greedy_search/wers-dev-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt
+2022-05-14 11:10:22,402 INFO [decode.py:464] 
+For dev, WER/CER of different settings are:
+greedy_search	2.46	1.02	best for dev
 
-2022-05-11 08:07:06,806 INFO [decode.py:382] batch 0/?, cuts processed until now is 45
-2022-05-11 08:08:06,828 INFO [decode.py:382] batch 100/?, cuts processed until now is 5355
-2022-05-11 08:09:05,184 INFO [decode.py:382] batch 200/?, cuts processed until now is 10993
-2022-05-11 08:10:02,153 INFO [decode.py:382] batch 300/?, cuts processed until now is 16731
-2022-05-11 08:11:00,423 INFO [decode.py:382] batch 400/?, cuts processed until now is 22285
-2022-05-11 08:12:01,133 INFO [decode.py:382] batch 500/?, cuts processed until now is 27573
-2022-05-11 08:13:01,311 INFO [decode.py:382] batch 600/?, cuts processed until now is 33145
-2022-05-11 08:14:01,842 INFO [decode.py:382] batch 700/?, cuts processed until now is 38113
-2022-05-11 08:14:19,738 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/greedy_search/recogs-val-greedy_search-epoch-28-avg-15-context-2-max-sym-per-frame-1.txt
-2022-05-11 08:14:20,872 INFO [utils.py:405] [val-greedy_search] %WER 2.40% [22731 / 946469, 3844 ins, 5524 del, 13363 sub ]
-2022-05-11 08:14:23,249 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/greedy_search/errs-val-greedy_search-epoch-28-avg-15-context-2-max-sym-per-frame-1.txt
-2022-05-11 08:14:23,250 INFO [decode.py:426] 
-For val, WER of different settings are:
-greedy_search	2.4	best for val
+2022-05-14 11:10:24,562 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-14 11:11:20,603 INFO [decode.py:391] batch 100/?, cuts processed until now is 5355
+2022-05-14 11:12:15,899 INFO [decode.py:391] batch 200/?, cuts processed until now is 10993
+2022-05-14 11:13:10,704 INFO [decode.py:391] batch 300/?, cuts processed until now is 16731
+2022-05-14 11:14:05,718 INFO [decode.py:391] batch 400/?, cuts processed until now is 22285
+2022-05-14 11:15:01,816 INFO [decode.py:391] batch 500/?, cuts processed until now is 27573
+2022-05-14 11:15:56,329 INFO [decode.py:391] batch 600/?, cuts processed until now is 33145
+2022-05-14 11:16:52,772 INFO [decode.py:391] batch 700/?, cuts processed until now is 38113
+2022-05-14 11:17:08,932 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/greedy_search/recogs-val-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt
+2022-05-14 11:17:10,213 INFO [utils.py:405] [val-greedy_search] %WER 2.40% [22728 / 946469, 3838 ins, 5532 del, 13358 sub ]
+2022-05-14 11:17:16,382 INFO [utils.py:405] [val-greedy_search] %WER 0.99% [44273 / 4485920, 13602 ins, 20929 del, 9742 sub ]
+2022-05-14 11:17:28,262 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/greedy_search/wers-val-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt
+2022-05-14 11:17:28,264 INFO [decode.py:464] 
+For val, WER/CER of different settings are:
+greedy_search	2.4	0.99	best for val
 
-2022-05-11 08:14:23,250 INFO [decode.py:534] Done!
+2022-05-14 11:17:28,286 INFO [decode.py:590] Done!

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log/{beam_search/recogs-val-beam_size_4-epoch-28-avg-15-beam-4.txt → greedy_search/recogs-val-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt}

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log/{beam_search/wer-summary-dev-beam_size_4-epoch-28-avg-15-beam-4.txt → greedy_search/wer-summary-dev-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt}

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log/{fast_beam_search/wer-summary-dev-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt → greedy_search/wer-summary-val-greedy_search-iter-696000-avg-10-context-2-max-sym-per-frame-1.txt}

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log/modified_beam_search/log-decode-epoch-20-avg-10-modified_beam_search-beam-size-4-2022-05-13-10-33-48

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+2022-05-13 10:33:48,447 INFO [decode.py:477] Decoding started
+2022-05-13 10:33:48,447 INFO [decode.py:483] Device: cuda:0
+2022-05-13 10:33:48,450 INFO [decode.py:492] {'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': 'e0536c9-dirty', 'icefall-git-date': 'Fri May 13 10:23:04 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': 0, 'avg': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_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/modified_beam_search'), 'suffix': 'epoch-20-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'vocab_size': 500}
+2022-05-13 10:33:48,450 INFO [decode.py:494] About to create model
+2022-05-13 10:33:48,798 INFO [decode.py:522] averaging ['pruned_transducer_stateless2/exp/v2/epoch-11.pt', 'pruned_transducer_stateless2/exp/v2/epoch-12.pt', 'pruned_transducer_stateless2/exp/v2/epoch-13.pt', 'pruned_transducer_stateless2/exp/v2/epoch-14.pt', 'pruned_transducer_stateless2/exp/v2/epoch-15.pt', 'pruned_transducer_stateless2/exp/v2/epoch-16.pt', 'pruned_transducer_stateless2/exp/v2/epoch-17.pt', 'pruned_transducer_stateless2/exp/v2/epoch-18.pt', 'pruned_transducer_stateless2/exp/v2/epoch-19.pt', 'pruned_transducer_stateless2/exp/v2/epoch-20.pt']

log/{fast_beam_search/log-decode-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8-2022-05-10-21-01-44 → modified_beam_search/log-decode-iter-696000-avg-10-modified_beam_search-beam-size-4-2022-05-13-10-36-03}

@@ -1,429 +1,429 @@
-2022-05-10 21:01:44,677 INFO [decode.py:459] Decoding started
-2022-05-10 21:01:44,677 INFO [decode.py:465] Device: cuda:0
-2022-05-10 21:01:44,680 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': 'r7n03', 'IP address': '10.1.7.3'}, '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': 'fast_beam_search', 'beam_size': 4, 'beam': 4.0, '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': 'epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 500}
-2022-05-10 21:01:44,680 INFO [decode.py:476] About to create model
-2022-05-10 21:01:45,018 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']
-2022-05-10 21:01:56,791 INFO [decode.py:506] Number of model parameters: 78648040
-2022-05-10 21:01:56,791 INFO [asr_datamodule.py:326] About to get SPGISpeech dev cuts
-2022-05-10 21:01:56,793 INFO [asr_datamodule.py:331] About to get SPGISpeech val cuts
-2022-05-10 21:02:00,648 INFO [decode.py:382] batch 0/?, cuts processed until now is 45
-2022-05-10 21:02:04,486 INFO [decode.py:382] batch 2/?, cuts processed until now is 177
-2022-05-10 21:02:08,990 INFO [decode.py:382] batch 4/?, cuts processed until now is 266
-2022-05-10 21:02:13,658 INFO [decode.py:382] batch 6/?, cuts processed until now is 351
-2022-05-10 21:02:18,190 INFO [decode.py:382] batch 8/?, cuts processed until now is 444
-2022-05-10 21:02:23,183 INFO [decode.py:382] batch 10/?, cuts processed until now is 526
-2022-05-10 21:02:27,711 INFO [decode.py:382] batch 12/?, cuts processed until now is 620
-2022-05-10 21:02:31,648 INFO [decode.py:382] batch 14/?, cuts processed until now is 735
-2022-05-10 21:02:35,199 INFO [decode.py:382] batch 16/?, cuts processed until now is 872
-2022-05-10 21:02:39,940 INFO [decode.py:382] batch 18/?, cuts processed until now is 958
-2022-05-10 21:02:45,196 INFO [decode.py:382] batch 20/?, cuts processed until now is 1029
-2022-05-10 21:02:49,097 INFO [decode.py:382] batch 22/?, cuts processed until now is 1145
-2022-05-10 21:02:52,546 INFO [decode.py:382] batch 24/?, cuts processed until now is 1290
-2022-05-10 21:02:57,259 INFO [decode.py:382] batch 26/?, cuts processed until now is 1379
-2022-05-10 21:03:01,583 INFO [decode.py:382] batch 28/?, cuts processed until now is 1490
-2022-05-10 21:03:06,162 INFO [decode.py:382] batch 30/?, cuts processed until now is 1582
-2022-05-10 21:03:11,132 INFO [decode.py:382] batch 32/?, cuts processed until now is 1664
-2022-05-10 21:03:15,738 INFO [decode.py:382] batch 34/?, cuts processed until now is 1758
-2022-05-10 21:03:20,587 INFO [decode.py:382] batch 36/?, cuts processed until now is 1840
-2022-05-10 21:03:25,158 INFO [decode.py:382] batch 38/?, cuts processed until now is 1929
-2022-05-10 21:03:29,398 INFO [decode.py:382] batch 40/?, cuts processed until now is 2054
-2022-05-10 21:03:32,827 INFO [decode.py:382] batch 42/?, cuts processed until now is 2215
-2022-05-10 21:03:36,670 INFO [decode.py:382] batch 44/?, cuts processed until now is 2348
-2022-05-10 21:03:41,327 INFO [decode.py:382] batch 46/?, cuts processed until now is 2437
-2022-05-10 21:03:45,379 INFO [decode.py:382] batch 48/?, cuts processed until now is 2542
-2022-05-10 21:03:49,113 INFO [decode.py:382] batch 50/?, cuts processed until now is 2672
-2022-05-10 21:03:53,169 INFO [decode.py:382] batch 52/?, cuts processed until now is 2786
-2022-05-10 21:03:57,761 INFO [decode.py:382] batch 54/?, cuts processed until now is 2883
-2022-05-10 21:04:01,945 INFO [decode.py:382] batch 56/?, cuts processed until now is 2997
-2022-05-10 21:04:05,526 INFO [decode.py:382] batch 58/?, cuts processed until now is 3143
-2022-05-10 21:04:09,966 INFO [decode.py:382] batch 60/?, cuts processed until now is 3235
-2022-05-10 21:04:13,628 INFO [decode.py:382] batch 62/?, cuts processed until now is 3376
-2022-05-10 21:04:18,623 INFO [decode.py:382] batch 64/?, cuts processed until now is 3454
-2022-05-10 21:04:22,909 INFO [decode.py:382] batch 66/?, cuts processed until now is 3576
-2022-05-10 21:04:26,622 INFO [decode.py:382] batch 68/?, cuts processed until now is 3704
-2022-05-10 21:04:29,652 INFO [decode.py:382] batch 70/?, cuts processed until now is 3783
-2022-05-10 21:04:33,737 INFO [decode.py:382] batch 72/?, cuts processed until now is 3829
-2022-05-10 21:04:37,107 INFO [decode.py:382] batch 74/?, cuts processed until now is 3885
-2022-05-10 21:04:40,343 INFO [decode.py:382] batch 76/?, cuts processed until now is 3934
-2022-05-10 21:04:43,765 INFO [decode.py:382] batch 78/?, cuts processed until now is 3985
-2022-05-10 21:04:46,259 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/fast_beam_search/recogs-dev-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt
-2022-05-10 21:04:46,382 INFO [utils.py:405] [dev-beam_4.0_max_contexts_4_max_states_8] %WER 2.38% [2313 / 97304, 425 ins, 560 del, 1328 sub ]
-2022-05-10 21:04:46,625 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/fast_beam_search/errs-dev-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt
-2022-05-10 21:04:46,626 INFO [decode.py:426] 
+2022-05-13 10:36:03,564 INFO [decode.py:477] Decoding started
+2022-05-13 10:36:03,564 INFO [decode.py:483] Device: cuda:0
+2022-05-13 10:36:03,598 INFO [decode.py:492] {'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': 'e0536c9-dirty', 'icefall-git-date': 'Fri May 13 10:23:04 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': 'r8n04', 'IP address': '10.1.8.4'}, 'epoch': 20, 'iter': 696000, 'avg': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_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/modified_beam_search'), 'suffix': 'iter-696000-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'vocab_size': 500}
+2022-05-13 10:36:03,598 INFO [decode.py:494] About to create model
+2022-05-13 10:36:04,230 INFO [decode.py:511] 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']
+2022-05-13 10:37:51,057 INFO [decode.py:536] Number of model parameters: 78648040
+2022-05-13 10:37:51,058 INFO [asr_datamodule.py:326] About to get SPGISpeech dev cuts
+2022-05-13 10:37:51,105 INFO [asr_datamodule.py:331] About to get SPGISpeech val cuts
+2022-05-13 10:37:58,728 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-13 10:38:07,891 INFO [decode.py:391] batch 2/?, cuts processed until now is 177
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+2022-05-13 10:38:26,378 INFO [decode.py:391] batch 6/?, cuts processed until now is 351
+2022-05-13 10:38:35,477 INFO [decode.py:391] batch 8/?, cuts processed until now is 444
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+2022-05-13 10:38:53,921 INFO [decode.py:391] batch 12/?, cuts processed until now is 620
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+2022-05-13 10:41:37,519 INFO [decode.py:391] batch 48/?, cuts processed until now is 2542
+2022-05-13 10:41:46,401 INFO [decode.py:391] batch 50/?, cuts processed until now is 2672
+2022-05-13 10:41:55,330 INFO [decode.py:391] batch 52/?, cuts processed until now is 2786
+2022-05-13 10:42:04,554 INFO [decode.py:391] batch 54/?, cuts processed until now is 2883
+2022-05-13 10:42:13,600 INFO [decode.py:391] batch 56/?, cuts processed until now is 2997
+2022-05-13 10:42:22,332 INFO [decode.py:391] batch 58/?, cuts processed until now is 3143
+2022-05-13 10:42:31,459 INFO [decode.py:391] batch 60/?, cuts processed until now is 3235
+2022-05-13 10:42:40,146 INFO [decode.py:391] batch 62/?, cuts processed until now is 3376
+2022-05-13 10:42:49,402 INFO [decode.py:391] batch 64/?, cuts processed until now is 3454
+2022-05-13 10:42:58,291 INFO [decode.py:391] batch 66/?, cuts processed until now is 3576
+2022-05-13 10:43:07,223 INFO [decode.py:391] batch 68/?, cuts processed until now is 3704
+2022-05-13 10:43:12,825 INFO [decode.py:391] batch 70/?, cuts processed until now is 3783
+2022-05-13 10:43:18,319 INFO [decode.py:391] batch 72/?, cuts processed until now is 3829
+2022-05-13 10:43:23,116 INFO [decode.py:391] batch 74/?, cuts processed until now is 3885
+2022-05-13 10:43:27,601 INFO [decode.py:391] batch 76/?, cuts processed until now is 3934
+2022-05-13 10:43:31,942 INFO [decode.py:391] batch 78/?, cuts processed until now is 3985
+2022-05-13 10:43:34,502 INFO [decode.py:408] The transcripts are stored in pruned_transducer_stateless2/exp/v2/modified_beam_search/recogs-dev-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-13 10:43:34,634 INFO [utils.py:405] [dev-beam_size_4] %WER 2.28% [2220 / 97304, 458 ins, 455 del, 1307 sub ]
+2022-05-13 10:43:34,891 INFO [decode.py:421] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/modified_beam_search/errs-dev-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-13 10:43:34,892 INFO [decode.py:438] 
 For dev, WER of different settings are:
-beam_4.0_max_contexts_4_max_states_8	2.38	best for dev
+beam_size_4	2.28	best for dev
 
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-2022-05-10 21:30:45,777 INFO [decode.py:397] The transcripts are stored in pruned_transducer_stateless2/exp/v2/fast_beam_search/recogs-val-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt
-2022-05-10 21:30:47,050 INFO [utils.py:405] [val-beam_4.0_max_contexts_4_max_states_8] %WER 2.35% [22214 / 946469, 3948 ins, 5314 del, 12952 sub ]
-2022-05-10 21:30:49,406 INFO [decode.py:410] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/fast_beam_search/errs-val-beam_4.0_max_contexts_4_max_states_8-epoch-28-avg-15-beam-4.0-max-contexts-4-max-states-8.txt
-2022-05-10 21:30:49,407 INFO [decode.py:426] 
+2022-05-13 10:43:41,176 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
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+2022-05-13 11:36:42,397 INFO [decode.py:391] batch 700/?, cuts processed until now is 38113
+2022-05-13 11:36:51,489 INFO [decode.py:391] batch 702/?, cuts processed until now is 38199
+2022-05-13 11:37:00,946 INFO [decode.py:391] batch 704/?, cuts processed until now is 38272
+2022-05-13 11:37:10,081 INFO [decode.py:391] batch 706/?, cuts processed until now is 38364
+2022-05-13 11:37:19,237 INFO [decode.py:391] batch 708/?, cuts processed until now is 38460
+2022-05-13 11:37:28,611 INFO [decode.py:391] batch 710/?, cuts processed until now is 38557
+2022-05-13 11:37:38,166 INFO [decode.py:391] batch 712/?, cuts processed until now is 38633
+2022-05-13 11:37:47,037 INFO [decode.py:391] batch 714/?, cuts processed until now is 38749
+2022-05-13 11:37:56,308 INFO [decode.py:391] batch 716/?, cuts processed until now is 38845
+2022-05-13 11:38:05,459 INFO [decode.py:391] batch 718/?, cuts processed until now is 38941
+2022-05-13 11:38:14,539 INFO [decode.py:391] batch 720/?, cuts processed until now is 39037
+2022-05-13 11:38:18,487 INFO [decode.py:391] batch 722/?, cuts processed until now is 39080
+2022-05-13 11:38:21,163 INFO [decode.py:391] batch 724/?, cuts processed until now is 39104
+2022-05-13 11:38:26,428 INFO [decode.py:391] batch 726/?, cuts processed until now is 39162
+2022-05-13 11:38:33,476 INFO [decode.py:391] batch 728/?, cuts processed until now is 39285
+2022-05-13 11:38:40,626 INFO [decode.py:391] batch 730/?, cuts processed until now is 39341
+2022-05-13 11:38:41,103 INFO [decode.py:408] The transcripts are stored in pruned_transducer_stateless2/exp/v2/modified_beam_search/recogs-val-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-13 11:38:42,275 INFO [utils.py:405] [val-beam_size_4] %WER 2.24% [21222 / 946469, 4343 ins, 4166 del, 12713 sub ]
+2022-05-13 11:38:44,536 INFO [decode.py:421] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/modified_beam_search/errs-val-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-13 11:38:44,537 INFO [decode.py:438] 
 For val, WER of different settings are:
-beam_4.0_max_contexts_4_max_states_8	2.35	best for val
+beam_size_4	2.24	best for val
 
-2022-05-10 21:30:49,407 INFO [decode.py:534] Done!
+2022-05-13 11:38:44,537 INFO [decode.py:564] Done!

log/{beam_search/log-decode-epoch-28-avg-15-beam-4-2022-05-11-08-17-51 → modified_beam_search/log-decode-iter-696000-avg-10-modified_beam_search-beam-size-4-2022-05-14-17-40-56}

@@ -1,429 +1,431 @@
-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
-2022-05-11 08:20:59,119 INFO [decode.py:382] batch 0/?, cuts processed until now is 45
-2022-05-11 08:23:55,089 INFO [decode.py:382] batch 2/?, cuts processed until now is 177
-2022-05-11 08:26:58,014 INFO [decode.py:382] batch 4/?, cuts processed until now is 266
-2022-05-11 08:30:05,571 INFO [decode.py:382] batch 6/?, cuts processed until now is 351
-2022-05-11 08:33:09,683 INFO [decode.py:382] batch 8/?, cuts processed until now is 444
-2022-05-11 08:36:04,246 INFO [decode.py:382] batch 10/?, cuts processed until now is 526
-2022-05-11 08:39:06,670 INFO [decode.py:382] batch 12/?, cuts processed until now is 620
-2022-05-11 08:42:03,745 INFO [decode.py:382] batch 14/?, cuts processed until now is 735
-2022-05-11 08:45:01,003 INFO [decode.py:382] batch 16/?, cuts processed until now is 872
-2022-05-11 08:48:02,504 INFO [decode.py:382] batch 18/?, cuts processed until now is 958
-2022-05-11 08:51:03,189 INFO [decode.py:382] batch 20/?, cuts processed until now is 1029
-2022-05-11 08:54:04,524 INFO [decode.py:382] batch 22/?, cuts processed until now is 1145
-2022-05-11 08:57:02,009 INFO [decode.py:382] batch 24/?, cuts processed until now is 1290
-2022-05-11 09:00:03,069 INFO [decode.py:382] batch 26/?, cuts processed until now is 1379
-2022-05-11 09:03:04,483 INFO [decode.py:382] batch 28/?, cuts processed until now is 1490
-2022-05-11 09:06:03,567 INFO [decode.py:382] batch 30/?, cuts processed until now is 1582
-2022-05-11 09:09:03,089 INFO [decode.py:382] batch 32/?, cuts processed until now is 1664
-2022-05-11 09:12:03,032 INFO [decode.py:382] batch 34/?, cuts processed until now is 1758
-2022-05-11 09:15:04,113 INFO [decode.py:382] batch 36/?, cuts processed until now is 1840
-2022-05-11 09:18:04,511 INFO [decode.py:382] batch 38/?, cuts processed until now is 1929
-2022-05-11 09:21:05,287 INFO [decode.py:382] batch 40/?, cuts processed until now is 2054
-2022-05-11 09:24:03,257 INFO [decode.py:382] batch 42/?, cuts processed until now is 2215
-2022-05-11 09:27:03,925 INFO [decode.py:382] batch 44/?, cuts processed until now is 2348
-2022-05-11 09:30:05,082 INFO [decode.py:382] batch 46/?, cuts processed until now is 2437
-2022-05-11 09:33:06,427 INFO [decode.py:382] batch 48/?, cuts processed until now is 2542
-2022-05-11 09:36:05,333 INFO [decode.py:382] batch 50/?, cuts processed until now is 2672
-2022-05-11 09:39:06,694 INFO [decode.py:382] batch 52/?, cuts processed until now is 2786
-2022-05-11 09:42:05,694 INFO [decode.py:382] batch 54/?, cuts processed until now is 2883
-2022-05-11 09:45:06,066 INFO [decode.py:382] batch 56/?, cuts processed until now is 2997
-2022-05-11 09:48:05,791 INFO [decode.py:382] batch 58/?, cuts processed until now is 3143
-2022-05-11 09:51:05,734 INFO [decode.py:382] batch 60/?, cuts processed until now is 3235
-2022-05-11 09:54:03,557 INFO [decode.py:382] batch 62/?, cuts processed until now is 3376
-2022-05-11 09:57:06,806 INFO [decode.py:382] batch 64/?, cuts processed until now is 3454
-2022-05-11 10:00:08,394 INFO [decode.py:382] batch 66/?, cuts processed until now is 3576
-2022-05-11 10:03:07,135 INFO [decode.py:382] batch 68/?, cuts processed until now is 3704
-2022-05-11 10:04:53,708 INFO [decode.py:382] batch 70/?, cuts processed until now is 3783
-2022-05-11 10:06:34,020 INFO [decode.py:382] batch 72/?, cuts processed until now is 3829
-2022-05-11 10:07:59,587 INFO [decode.py:382] batch 74/?, cuts processed until now is 3885
-2022-05-11 10:09:23,115 INFO [decode.py:382] batch 76/?, cuts processed until now is 3934
-2022-05-11 10:10:42,779 INFO [decode.py:382] batch 78/?, cuts processed until now is 3985
-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
+2022-05-14 17:40:56,050 INFO [decode.py:503] Decoding started
+2022-05-14 17:40:56,051 INFO [decode.py:509] Device: cuda:0
+2022-05-14 17:40:56,054 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': 'r8n04', 'IP address': '10.1.8.4'}, 'epoch': 20, 'iter': 696000, 'avg': 10, 'exp_dir': PosixPath('pruned_transducer_stateless2/exp/v2'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_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/modified_beam_search'), 'suffix': 'iter-696000-avg-10-modified_beam_search-beam-size-4', 'blank_id': 0, 'vocab_size': 500}
+2022-05-14 17:40:56,054 INFO [decode.py:520] About to create model
+2022-05-14 17:40:56,394 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 17:41:08,009 INFO [decode.py:562] Number of model parameters: 78648040
+2022-05-14 17:41:08,009 INFO [asr_datamodule.py:337] About to get SPGISpeech dev cuts
+2022-05-14 17:41:08,011 INFO [asr_datamodule.py:342] About to get SPGISpeech val cuts
+2022-05-14 17:41:14,281 INFO [decode.py:391] batch 0/?, cuts processed until now is 45
+2022-05-14 17:41:23,168 INFO [decode.py:391] batch 2/?, cuts processed until now is 177
+2022-05-14 17:41:32,119 INFO [decode.py:391] batch 4/?, cuts processed until now is 266
+2022-05-14 17:41:41,161 INFO [decode.py:391] batch 6/?, cuts processed until now is 351
+2022-05-14 17:41:50,041 INFO [decode.py:391] batch 8/?, cuts processed until now is 444
+2022-05-14 17:41:59,092 INFO [decode.py:391] batch 10/?, cuts processed until now is 526
+2022-05-14 17:42:08,059 INFO [decode.py:391] batch 12/?, cuts processed until now is 620
+2022-05-14 17:42:16,719 INFO [decode.py:391] batch 14/?, cuts processed until now is 735
+2022-05-14 17:42:25,405 INFO [decode.py:391] batch 16/?, cuts processed until now is 872
+2022-05-14 17:42:34,984 INFO [decode.py:391] batch 18/?, cuts processed until now is 958
+2022-05-14 17:42:44,422 INFO [decode.py:391] batch 20/?, cuts processed until now is 1029
+2022-05-14 17:42:53,350 INFO [decode.py:391] batch 22/?, cuts processed until now is 1145
+2022-05-14 17:43:02,180 INFO [decode.py:391] batch 24/?, cuts processed until now is 1290
+2022-05-14 17:43:11,366 INFO [decode.py:391] batch 26/?, cuts processed until now is 1379
+2022-05-14 17:43:20,664 INFO [decode.py:391] batch 28/?, cuts processed until now is 1490
+2022-05-14 17:43:29,767 INFO [decode.py:391] batch 30/?, cuts processed until now is 1582
+2022-05-14 17:43:39,456 INFO [decode.py:391] batch 32/?, cuts processed until now is 1664
+2022-05-14 17:43:48,745 INFO [decode.py:391] batch 34/?, cuts processed until now is 1758
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+2022-05-14 17:44:25,105 INFO [decode.py:391] batch 42/?, cuts processed until now is 2215
+2022-05-14 17:44:34,200 INFO [decode.py:391] batch 44/?, cuts processed until now is 2348
+2022-05-14 17:44:43,344 INFO [decode.py:391] batch 46/?, cuts processed until now is 2437
+2022-05-14 17:44:52,308 INFO [decode.py:391] batch 48/?, cuts processed until now is 2542
+2022-05-14 17:45:01,360 INFO [decode.py:391] batch 50/?, cuts processed until now is 2672
+2022-05-14 17:45:10,338 INFO [decode.py:391] batch 52/?, cuts processed until now is 2786
+2022-05-14 17:45:19,534 INFO [decode.py:391] batch 54/?, cuts processed until now is 2883
+2022-05-14 17:45:28,760 INFO [decode.py:391] batch 56/?, cuts processed until now is 2997
+2022-05-14 17:45:37,804 INFO [decode.py:391] batch 58/?, cuts processed until now is 3143
+2022-05-14 17:45:47,106 INFO [decode.py:391] batch 60/?, cuts processed until now is 3235
+2022-05-14 17:45:55,949 INFO [decode.py:391] batch 62/?, cuts processed until now is 3376
+2022-05-14 17:46:05,312 INFO [decode.py:391] batch 64/?, cuts processed until now is 3454
+2022-05-14 17:46:14,303 INFO [decode.py:391] batch 66/?, cuts processed until now is 3576
+2022-05-14 17:46:23,256 INFO [decode.py:391] batch 68/?, cuts processed until now is 3704
+2022-05-14 17:46:28,708 INFO [decode.py:391] batch 70/?, cuts processed until now is 3783
+2022-05-14 17:46:34,025 INFO [decode.py:391] batch 72/?, cuts processed until now is 3829
+2022-05-14 17:46:38,735 INFO [decode.py:391] batch 74/?, cuts processed until now is 3885
+2022-05-14 17:46:43,196 INFO [decode.py:391] batch 76/?, cuts processed until now is 3934
+2022-05-14 17:46:47,452 INFO [decode.py:391] batch 78/?, cuts processed until now is 3985
+2022-05-14 17:46:49,975 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/modified_beam_search/recogs-dev-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-14 17:46:50,091 INFO [utils.py:405] [dev-beam_size_4] %WER 2.28% [2220 / 97304, 458 ins, 455 del, 1307 sub ]
+2022-05-14 17:46:50,657 INFO [utils.py:405] [dev-beam_size_4] %WER 0.95% [4339 / 458995, 1663 ins, 1618 del, 1058 sub ]
+2022-05-14 17:46:51,784 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/modified_beam_search/wers-dev-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-14 17:46:51,786 INFO [decode.py:464] 
+For dev, WER/CER of different settings are:
+beam_size_4	2.28	0.95	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
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+2022-05-14 18:42:47,898 INFO [decode.py:391] batch 726/?, cuts processed until now is 39162
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+2022-05-14 18:43:02,587 INFO [decode.py:391] batch 730/?, cuts processed until now is 39341
+2022-05-14 18:43:03,063 INFO [decode.py:409] The transcripts are stored in pruned_transducer_stateless2/exp/v2/modified_beam_search/recogs-val-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-14 18:43:04,136 INFO [utils.py:405] [val-beam_size_4] %WER 2.24% [21222 / 946469, 4343 ins, 4166 del, 12713 sub ]
+2022-05-14 18:43:09,956 INFO [utils.py:405] [val-beam_size_4] %WER 0.91% [40732 / 4485920, 15485 ins, 15519 del, 9728 sub ]
+2022-05-14 18:43:20,865 INFO [decode.py:435] Wrote detailed error stats to pruned_transducer_stateless2/exp/v2/modified_beam_search/wers-val-beam_size_4-iter-696000-avg-10-modified_beam_search-beam-size-4.txt
+2022-05-14 18:43:20,867 INFO [decode.py:464] 
+For val, WER/CER of different settings are:
+beam_size_4	2.24	0.91	best for val
 
-2022-05-12 04:28:39,268 INFO [decode.py:534] Done!
+2022-05-14 18:43:20,888 INFO [decode.py:590] Done!

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