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README.md

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+See https://github.com/k2-fsa/icefall/pull/1058

data/lang_bpe_500/HLG.pt

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data/lang_bpe_500/Linv.pt

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data/lang_bpe_500/bpe.model

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data/lm/G_4_gram.pt

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decoding_results/fast_beam_search/log-decode-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model-2023-05-17-21-58-50

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+2023-05-17 21:58:50,471 INFO [decode.py:679] Decoding started
+2023-05-17 21:58:50,471 INFO [decode.py:685] Device: cuda:0
+2023-05-17 21:58:50,474 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'fast_beam_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '16', 'left_context_frames': '128', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/fast_beam_search'), 'suffix': 'epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-17 21:58:50,474 INFO [decode.py:697] About to create model
+2023-05-17 21:58:51,154 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-17 21:58:58,016 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-17 21:58:58,016 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-17 21:58:58,018 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-17 21:59:00,380 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-17 21:59:31,059 INFO [decode.py:571] batch 20/?, cuts processed until now is 1430
+2023-05-17 22:00:03,909 INFO [decode.py:571] batch 40/?, cuts processed until now is 2574
+2023-05-17 22:00:05,076 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/fast_beam_search/recogs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-17 22:00:05,153 INFO [utils.py:558] [test-clean-beam_20.0_max_contexts_8_max_states_64] %WER 3.04% [1597 / 52576, 194 ins, 120 del, 1283 sub ]
+2023-05-17 22:00:05,331 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/fast_beam_search/errs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-17 22:00:05,332 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	3.04	best for test-clean
+
+2023-05-17 22:00:07,304 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-17 22:00:35,514 INFO [decode.py:571] batch 20/?, cuts processed until now is 1646
+2023-05-17 22:01:05,346 INFO [decode.py:571] batch 40/?, cuts processed until now is 2870
+2023-05-17 22:01:06,363 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/fast_beam_search/recogs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-17 22:01:06,442 INFO [utils.py:558] [test-other-beam_20.0_max_contexts_8_max_states_64] %WER 7.68% [4022 / 52343, 419 ins, 371 del, 3232 sub ]
+2023-05-17 22:01:06,631 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/fast_beam_search/errs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-17 22:01:06,632 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	7.68	best for test-other
+
+2023-05-17 22:01:06,632 INFO [decode.py:831] Done!

decoding_results/fast_beam_search/log-decode-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model-2023-05-18-11-14-59

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+2023-05-18 11:14:59,122 INFO [decode.py:679] Decoding started
+2023-05-18 11:14:59,122 INFO [decode.py:685] Device: cuda:0
+2023-05-18 11:14:59,126 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'fast_beam_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '32', 'left_context_frames': '256', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/fast_beam_search'), 'suffix': 'epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-18 11:14:59,126 INFO [decode.py:697] About to create model
+2023-05-18 11:14:59,752 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-18 11:15:07,528 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-18 11:15:07,528 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-18 11:15:07,531 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-18 11:15:10,736 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-18 11:15:35,831 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([2.3856, 1.9715, 2.2093, 2.1227], device='cuda:0')
+2023-05-18 11:15:43,266 INFO [decode.py:571] batch 20/?, cuts processed until now is 1430
+2023-05-18 11:16:15,740 INFO [decode.py:571] batch 40/?, cuts processed until now is 2574
+2023-05-18 11:16:17,089 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/fast_beam_search/recogs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-18 11:16:17,174 INFO [utils.py:558] [test-clean-beam_20.0_max_contexts_8_max_states_64] %WER 2.84% [1491 / 52576, 165 ins, 100 del, 1226 sub ]
+2023-05-18 11:16:17,356 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/fast_beam_search/errs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-18 11:16:17,357 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	2.84	best for test-clean
+
+2023-05-18 11:16:19,402 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-18 11:16:32,894 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([1.6400, 2.0386, 2.4842, 2.8599], device='cuda:0')
+2023-05-18 11:16:47,801 INFO [decode.py:571] batch 20/?, cuts processed until now is 1646
+2023-05-18 11:17:18,142 INFO [decode.py:571] batch 40/?, cuts processed until now is 2870
+2023-05-18 11:17:19,151 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/fast_beam_search/recogs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-18 11:17:19,229 INFO [utils.py:558] [test-other-beam_20.0_max_contexts_8_max_states_64] %WER 7.04% [3684 / 52343, 376 ins, 349 del, 2959 sub ]
+2023-05-18 11:17:19,413 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/fast_beam_search/errs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2023-05-18 11:17:19,413 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	7.04	best for test-other
+
+2023-05-18 11:17:19,414 INFO [decode.py:831] Done!

decoding_results/fast_beam_search/wer-summary-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_20.0_max_contexts_8_max_states_64	3.04

decoding_results/fast_beam_search/wer-summary-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_20.0_max_contexts_8_max_states_64	2.84

decoding_results/fast_beam_search/wer-summary-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-16-left-context-128-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_20.0_max_contexts_8_max_states_64	7.68

decoding_results/fast_beam_search/wer-summary-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-30-avg-8-chunk-32-left-context-256-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_20.0_max_contexts_8_max_states_64	7.04

decoding_results/greedy_search/log-decode-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model-2023-05-18-10-13-19

@@ -0,0 +1,25 @@
+2023-05-18 10:13:19,739 INFO [decode.py:679] Decoding started
+2023-05-18 10:13:19,739 INFO [decode.py:685] Device: cuda:0
+2023-05-18 10:13:19,742 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'greedy_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '16', 'left_context_frames': '128', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/greedy_search'), 'suffix': 'epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-18 10:13:19,742 INFO [decode.py:697] About to create model
+2023-05-18 10:13:20,439 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-18 10:13:27,530 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-18 10:13:27,530 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-18 10:13:27,532 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-18 10:13:29,145 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-18 10:14:01,156 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/greedy_search/recogs-test-clean-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:14:01,236 INFO [utils.py:558] [test-clean-greedy_search] %WER 3.06% [1609 / 52576, 186 ins, 116 del, 1307 sub ]
+2023-05-18 10:14:01,419 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/greedy_search/errs-test-clean-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:14:01,420 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+greedy_search	3.06	best for test-clean
+
+2023-05-18 10:14:02,691 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-18 10:14:30,443 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/greedy_search/recogs-test-other-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:14:30,526 INFO [utils.py:558] [test-other-greedy_search] %WER 7.81% [4090 / 52343, 417 ins, 426 del, 3247 sub ]
+2023-05-18 10:14:30,716 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/greedy_search/errs-test-other-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:14:30,717 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+greedy_search	7.81	best for test-other
+
+2023-05-18 10:14:30,718 INFO [decode.py:831] Done!

decoding_results/greedy_search/log-decode-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model-2023-05-18-10-25-46

@@ -0,0 +1,27 @@
+2023-05-18 10:25:46,146 INFO [decode.py:679] Decoding started
+2023-05-18 10:25:46,146 INFO [decode.py:685] Device: cuda:0
+2023-05-18 10:25:46,150 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'greedy_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '32', 'left_context_frames': '256', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/greedy_search'), 'suffix': 'epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-18 10:25:46,150 INFO [decode.py:697] About to create model
+2023-05-18 10:25:46,869 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-18 10:25:55,929 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-18 10:25:55,930 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-18 10:25:55,932 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-18 10:25:57,508 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-18 10:26:07,885 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([4.3186, 3.3293, 2.8831, 3.5132], device='cuda:0')
+2023-05-18 10:26:34,770 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([2.4663, 1.9973, 2.3397, 2.1606], device='cuda:0')
+2023-05-18 10:26:46,284 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/greedy_search/recogs-test-clean-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:26:46,367 INFO [utils.py:558] [test-clean-greedy_search] %WER 2.81% [1475 / 52576, 159 ins, 98 del, 1218 sub ]
+2023-05-18 10:26:46,550 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/greedy_search/errs-test-clean-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:26:46,551 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+greedy_search	2.81	best for test-clean
+
+2023-05-18 10:26:47,797 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-18 10:27:29,281 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/greedy_search/recogs-test-other-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:27:29,379 INFO [utils.py:558] [test-other-greedy_search] %WER 7.15% [3743 / 52343, 378 ins, 369 del, 2996 sub ]
+2023-05-18 10:27:29,571 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/greedy_search/errs-test-other-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-05-18 10:27:29,572 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+greedy_search	7.15	best for test-other
+
+2023-05-18 10:27:29,572 INFO [decode.py:831] Done!

decoding_results/greedy_search/wer-summary-test-clean-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	3.06

decoding_results/greedy_search/wer-summary-test-clean-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	2.81

decoding_results/greedy_search/wer-summary-test-other-greedy_search-epoch-30-avg-8-chunk-16-left-context-128-context-2-max-sym-per-frame-1-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	7.81

decoding_results/greedy_search/wer-summary-test-other-greedy_search-epoch-30-avg-8-chunk-32-left-context-256-context-2-max-sym-per-frame-1-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+greedy_search	7.15

decoding_results/modified_beam_search/log-decode-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model-2023-05-17-22-14-34

@@ -0,0 +1,30 @@
+2023-05-17 22:14:34,173 INFO [decode.py:679] Decoding started
+2023-05-17 22:14:34,173 INFO [decode.py:685] Device: cuda:0
+2023-05-17 22:14:34,176 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'modified_beam_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '16', 'left_context_frames': '128', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/modified_beam_search'), 'suffix': 'epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-17 22:14:34,177 INFO [decode.py:697] About to create model
+2023-05-17 22:14:34,871 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-17 22:14:41,686 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-17 22:14:41,687 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-17 22:14:41,689 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-17 22:14:46,135 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-17 22:16:02,990 INFO [decode.py:571] batch 20/?, cuts processed until now is 1430
+2023-05-17 22:17:11,190 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([3.9870, 3.1691, 2.7201, 3.3194], device='cuda:0')
+2023-05-17 22:17:18,002 INFO [decode.py:571] batch 40/?, cuts processed until now is 2574
+2023-05-17 22:17:20,907 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/modified_beam_search/recogs-test-clean-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-17 22:17:20,987 INFO [utils.py:558] [test-clean-beam_size_4] %WER 3.01% [1584 / 52576, 192 ins, 112 del, 1280 sub ]
+2023-05-17 22:17:21,254 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/modified_beam_search/errs-test-clean-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-17 22:17:21,255 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+beam_size_4	3.01	best for test-clean
+
+2023-05-17 22:17:26,245 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-17 22:18:44,615 INFO [decode.py:571] batch 20/?, cuts processed until now is 1646
+2023-05-17 22:19:45,738 INFO [decode.py:571] batch 40/?, cuts processed until now is 2870
+2023-05-17 22:19:48,584 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/modified_beam_search/recogs-test-other-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-17 22:19:48,753 INFO [utils.py:558] [test-other-beam_size_4] %WER 7.69% [4026 / 52343, 421 ins, 375 del, 3230 sub ]
+2023-05-17 22:19:48,945 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/modified_beam_search/errs-test-other-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-17 22:19:48,946 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+beam_size_4	7.69	best for test-other
+
+2023-05-17 22:19:48,946 INFO [decode.py:831] Done!

decoding_results/modified_beam_search/log-decode-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model-2023-05-18-10-42-03

@@ -0,0 +1,31 @@
+2023-05-18 10:42:03,381 INFO [decode.py:679] Decoding started
+2023-05-18 10:42:03,382 INFO [decode.py:685] Device: cuda:0
+2023-05-18 10:42:03,385 INFO [decode.py:695] {'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, 'warm_step': 2000, 'env_info': {'k2-version': '1.24.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c51a0b9684442a88ee37f3ce0af686a04b66855b', 'k2-git-date': 'Mon May 1 21:38:03 2023', 'lhotse-version': '1.12.0.dev+git.891bad1.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'zipformer2_from_dan', 'icefall-git-sha1': 'ab591253-dirty', 'icefall-git-date': 'Wed May 17 20:54:53 2023', 'icefall-path': '/ceph-zw/workspace/zipformer/icefall_zipformer', 'k2-path': '/ceph-zw/workspace/k2/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-zw/workspace/share/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-1220091118-57c4d55446-mlpzc', 'IP address': '10.177.22.19'}, 'epoch': 30, 'iter': 0, 'avg': 8, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-causal'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'modified_beam_search', '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, 'num_encoder_layers': '2,2,3,4,3,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,1024,1536,1024,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,384,512,384,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,256,256,256,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': True, 'chunk_size': '32', 'left_context_frames': '256', 'full_libri': True, 'mini_libri': False, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 600, '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('zipformer/exp-causal/modified_beam_search'), 'suffix': 'epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-05-18 10:42:03,385 INFO [decode.py:697] About to create model
+2023-05-18 10:42:04,060 INFO [decode.py:764] Calculating the averaged model over epoch range from 22 (excluded) to 30
+2023-05-18 10:42:10,833 INFO [decode.py:800] Number of model parameters: 66110931
+2023-05-18 10:42:10,833 INFO [asr_datamodule.py:465] About to get test-clean cuts
+2023-05-18 10:42:10,836 INFO [asr_datamodule.py:472] About to get test-other cuts
+2023-05-18 10:42:15,449 INFO [decode.py:571] batch 0/?, cuts processed until now is 43
+2023-05-18 10:43:32,734 INFO [decode.py:571] batch 20/?, cuts processed until now is 1430
+2023-05-18 10:44:43,478 INFO [decode.py:571] batch 40/?, cuts processed until now is 2574
+2023-05-18 10:44:45,844 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/modified_beam_search/recogs-test-clean-beam_size_4-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-18 10:44:45,995 INFO [utils.py:558] [test-clean-beam_size_4] %WER 2.79% [1469 / 52576, 166 ins, 96 del, 1207 sub ]
+2023-05-18 10:44:46,168 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/modified_beam_search/errs-test-clean-beam_size_4-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-18 10:44:46,168 INFO [decode.py:619] 
+For test-clean, WER of different settings are:
+beam_size_4	2.79	best for test-clean
+
+2023-05-18 10:44:50,398 INFO [decode.py:571] batch 0/?, cuts processed until now is 52
+2023-05-18 10:46:01,476 INFO [decode.py:571] batch 20/?, cuts processed until now is 1646
+2023-05-18 10:46:34,021 INFO [zipformer.py:1711] name=None, attn_weights_entropy = tensor([2.0462, 2.2884, 2.0106, 2.3025, 1.0854, 1.6248, 1.4906, 1.9241],
+       device='cuda:0')
+2023-05-18 10:47:03,275 INFO [decode.py:571] batch 40/?, cuts processed until now is 2870
+2023-05-18 10:47:06,197 INFO [decode.py:589] The transcripts are stored in zipformer/exp-causal/modified_beam_search/recogs-test-other-beam_size_4-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-18 10:47:06,279 INFO [utils.py:558] [test-other-beam_size_4] %WER 7.05% [3689 / 52343, 388 ins, 333 del, 2968 sub ]
+2023-05-18 10:47:06,585 INFO [decode.py:602] Wrote detailed error stats to zipformer/exp-causal/modified_beam_search/errs-test-other-beam_size_4-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-05-18 10:47:06,586 INFO [decode.py:619] 
+For test-other, WER of different settings are:
+beam_size_4	7.05	best for test-other
+
+2023-05-18 10:47:06,586 INFO [decode.py:831] Done!

decoding_results/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	3.01

decoding_results/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-30-avg-8-chunk-32-left-context-256-modified_beam_search-beam-size-4-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	2.79

decoding_results/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-30-avg-8-chunk-16-left-context-128-modified_beam_search-beam-size-4-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	7.69