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Browse files- decoding_result/fast_beam_search/errs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
- decoding_result/fast_beam_search/errs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
- decoding_result/fast_beam_search/log-decode-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model-2023-10-08-19-03-08 +31 -0
- decoding_result/fast_beam_search/recogs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
- decoding_result/fast_beam_search/recogs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
- decoding_result/fast_beam_search/wer-summary-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +2 -0
- decoding_result/fast_beam_search/wer-summary-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +2 -0
- decoding_result/greedy_search/errs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
- decoding_result/greedy_search/errs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
- decoding_result/greedy_search/log-decode-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model-2023-10-08-18-55-30 +25 -0
- decoding_result/greedy_search/recogs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
- decoding_result/greedy_search/recogs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
- decoding_result/greedy_search/wer-summary-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +2 -0
- decoding_result/greedy_search/wer-summary-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt +2 -0
- decoding_result/modified_beam_search/errs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
- decoding_result/modified_beam_search/errs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
- decoding_result/modified_beam_search/log-decode-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model-2023-09-11-14-16-47 +31 -0
- decoding_result/modified_beam_search/recogs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
- decoding_result/modified_beam_search/recogs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
- decoding_result/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +2 -0
- decoding_result/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt +2 -0
- exp/decode.sh +2 -2
- exp/epoch-50.pt +3 -0
- exp/export.sh +2 -2
- exp/jit_script.pt +2 -2
- exp/pretrained.pt +1 -1
- exp/train.sh +1 -1
decoding_result/fast_beam_search/errs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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decoding_result/fast_beam_search/errs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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decoding_result/fast_beam_search/log-decode-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model-2023-10-08-19-03-08
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2023-10-08 19:03:08,979 INFO [decode.py:670] Decoding started
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2023-10-08 19:03:08,979 INFO [decode.py:676] Device: cuda:0
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2023-10-08 19:03:09,013 INFO [decode.py:686] {'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': 'new-zipformer-onnx-decode', 'icefall-git-sha1': 'a53d7102-dirty', 'icefall-git-date': 'Fri Jun 30 11:38:26 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-9-0208143539-7dbf569d4f-r7nrb', 'IP address': '10.177.13.150'}, 'epoch': 50, 'iter': 0, 'avg': 23, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-small'), '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': '2,2,2,2,2,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,768,768,768,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,256,256,256,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,192,192,192,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': False, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'use_transducer': True, 'use_ctc': False, '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-small/fast_beam_search'), 'suffix': 'epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
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2023-10-08 19:03:09,014 INFO [decode.py:688] About to create model
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2023-10-08 19:03:09,563 INFO [decode.py:755] Calculating the averaged model over epoch range from 27 (excluded) to 50
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2023-10-08 19:03:18,234 INFO [decode.py:791] Number of model parameters: 23285615
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2023-10-08 19:03:18,234 INFO [asr_datamodule.py:465] About to get test-clean cuts
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2023-10-08 19:03:18,240 INFO [asr_datamodule.py:472] About to get test-other cuts
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2023-10-08 19:03:21,485 INFO [decode.py:562] batch 0/?, cuts processed until now is 43
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2023-10-08 19:03:49,789 INFO [zipformer.py:1728] name=None, attn_weights_entropy = tensor([2.0788, 2.8359, 2.6445, 2.9472, 1.7865, 2.8430, 3.0297, 2.9063],
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device='cuda:0')
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2023-10-08 19:03:59,044 INFO [decode.py:562] batch 20/?, cuts processed until now is 1430
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2023-10-08 19:04:39,332 INFO [decode.py:562] batch 40/?, cuts processed until now is 2561
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2023-10-08 19:04:40,532 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/fast_beam_search/recogs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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2023-10-08 19:04:40,648 INFO [utils.py:562] [test-clean-beam_20.0_max_contexts_8_max_states_64] %WER 2.43% [1280 / 52576, 136 ins, 95 del, 1049 sub ]
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2023-10-08 19:04:40,950 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/fast_beam_search/errs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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2023-10-08 19:04:40,954 INFO [decode.py:610]
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For test-clean, WER of different settings are:
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beam_20.0_max_contexts_8_max_states_64 2.43 best for test-clean
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2023-10-08 19:04:43,548 INFO [decode.py:562] batch 0/?, cuts processed until now is 52
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2023-10-08 19:05:19,615 INFO [decode.py:562] batch 20/?, cuts processed until now is 1647
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2023-10-08 19:05:58,991 INFO [decode.py:562] batch 40/?, cuts processed until now is 2870
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2023-10-08 19:06:00,126 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/fast_beam_search/recogs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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2023-10-08 19:06:00,247 INFO [utils.py:562] [test-other-beam_20.0_max_contexts_8_max_states_64] %WER 5.78% [3028 / 52343, 312 ins, 253 del, 2463 sub ]
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2023-10-08 19:06:00,560 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/fast_beam_search/errs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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2023-10-08 19:06:00,563 INFO [decode.py:610]
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For test-other, WER of different settings are:
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beam_20.0_max_contexts_8_max_states_64 5.78 best for test-other
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2023-10-08 19:06:00,564 INFO [decode.py:822] Done!
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decoding_result/fast_beam_search/recogs-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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decoding_result/fast_beam_search/recogs-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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decoding_result/fast_beam_search/wer-summary-test-clean-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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settings WER
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beam_20.0_max_contexts_8_max_states_64 2.43
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decoding_result/fast_beam_search/wer-summary-test-other-beam_20.0_max_contexts_8_max_states_64-epoch-50-avg-23-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
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settings WER
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beam_20.0_max_contexts_8_max_states_64 5.78
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decoding_result/greedy_search/errs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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decoding_result/greedy_search/errs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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decoding_result/greedy_search/log-decode-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model-2023-10-08-18-55-30
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2023-10-08 18:55:30,506 INFO [decode.py:670] Decoding started
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2023-10-08 18:55:30,507 INFO [decode.py:676] Device: cuda:0
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2023-10-08 18:55:30,512 INFO [decode.py:686] {'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': 'new-zipformer-onnx-decode', 'icefall-git-sha1': 'a53d7102-clean', 'icefall-git-date': 'Fri Jun 30 11:38:26 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-9-0208143539-7dbf569d4f-r7nrb', 'IP address': '10.177.13.150'}, 'epoch': 50, 'iter': 0, 'avg': 23, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-small'), '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': '2,2,2,2,2,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,768,768,768,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,256,256,256,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,192,192,192,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': False, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'use_transducer': True, 'use_ctc': False, '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-small/greedy_search'), 'suffix': 'epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
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2023-10-08 18:55:30,512 INFO [decode.py:688] About to create model
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2023-10-08 18:55:31,099 INFO [decode.py:755] Calculating the averaged model over epoch range from 27 (excluded) to 50
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2023-10-08 18:55:43,284 INFO [decode.py:791] Number of model parameters: 23285615
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2023-10-08 18:55:43,284 INFO [asr_datamodule.py:465] About to get test-clean cuts
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2023-10-08 18:55:43,291 INFO [asr_datamodule.py:472] About to get test-other cuts
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2023-10-08 18:55:45,711 INFO [decode.py:562] batch 0/?, cuts processed until now is 43
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2023-10-08 18:56:26,034 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/greedy_search/recogs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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2023-10-08 18:56:26,156 INFO [utils.py:562] [test-clean-greedy_search] %WER 2.46% [1293 / 52576, 135 ins, 107 del, 1051 sub ]
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2023-10-08 18:56:26,463 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/greedy_search/errs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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2023-10-08 18:56:26,467 INFO [decode.py:610]
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For test-clean, WER of different settings are:
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greedy_search 2.46 best for test-clean
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2023-10-08 18:56:28,204 INFO [decode.py:562] batch 0/?, cuts processed until now is 52
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2023-10-08 18:57:08,107 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/greedy_search/recogs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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2023-10-08 18:57:08,236 INFO [utils.py:562] [test-other-greedy_search] %WER 5.86% [3066 / 52343, 302 ins, 259 del, 2505 sub ]
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2023-10-08 18:57:08,556 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/greedy_search/errs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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2023-10-08 18:57:08,559 INFO [decode.py:610]
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For test-other, WER of different settings are:
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greedy_search 5.86 best for test-other
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2023-10-08 18:57:08,559 INFO [decode.py:822] Done!
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decoding_result/greedy_search/recogs-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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decoding_result/greedy_search/recogs-test-other-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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decoding_result/greedy_search/wer-summary-test-clean-greedy_search-epoch-50-avg-23-context-2-max-sym-per-frame-1-use-averaged-model.txt
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settings WER
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greedy_search 2.46
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settings WER
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2 |
+
greedy_search 5.86
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decoding_result/modified_beam_search/errs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
ADDED
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decoding_result/modified_beam_search/errs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
ADDED
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decoding_result/modified_beam_search/log-decode-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model-2023-09-11-14-16-47
ADDED
@@ -0,0 +1,31 @@
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+
2023-09-11 14:16:47,669 INFO [decode.py:670] Decoding started
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+
2023-09-11 14:16:47,669 INFO [decode.py:676] Device: cuda:0
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+
2023-09-11 14:16:47,671 INFO [decode.py:686] {'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': 'new-zipformer-onnx-decode', 'icefall-git-sha1': 'a53d7102-clean', 'icefall-git-date': 'Fri Jun 30 11:38:26 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-7-1218101249-5d97868c7c-98fdf', 'IP address': '10.177.22.20'}, 'epoch': 50, 'iter': 0, 'avg': 23, 'use_averaged_model': True, 'exp_dir': PosixPath('zipformer/exp-small'), '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': '2,2,2,2,2,2', 'downsampling_factor': '1,2,4,8,4,2', 'feedforward_dim': '512,768,768,768,768,768', 'num_heads': '4,4,4,8,4,4', 'encoder_dim': '192,256,256,256,256,256', 'query_head_dim': '32', 'value_head_dim': '12', 'pos_head_dim': '4', 'pos_dim': 48, 'encoder_unmasked_dim': '192,192,192,192,192,192', 'cnn_module_kernel': '31,31,15,15,15,31', 'decoder_dim': 512, 'joiner_dim': 512, 'causal': False, 'chunk_size': '16,32,64,-1', 'left_context_frames': '64,128,256,-1', 'use_transducer': True, 'use_ctc': False, '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-small/modified_beam_search'), 'suffix': 'epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
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+
2023-09-11 14:16:47,672 INFO [decode.py:688] About to create model
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+
2023-09-11 14:16:48,034 INFO [decode.py:755] Calculating the averaged model over epoch range from 27 (excluded) to 50
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6 |
+
2023-09-11 14:16:55,204 INFO [decode.py:791] Number of model parameters: 23285615
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7 |
+
2023-09-11 14:16:55,204 INFO [asr_datamodule.py:465] About to get test-clean cuts
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8 |
+
2023-09-11 14:16:55,207 INFO [asr_datamodule.py:472] About to get test-other cuts
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9 |
+
2023-09-11 14:17:00,230 INFO [decode.py:562] batch 0/?, cuts processed until now is 43
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10 |
+
2023-09-11 14:18:22,246 INFO [decode.py:562] batch 20/?, cuts processed until now is 1430
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11 |
+
2023-09-11 14:19:13,020 INFO [zipformer.py:1728] name=None, attn_weights_entropy = tensor([5.0861, 4.5347, 4.5748, 4.8806], device='cuda:0')
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12 |
+
2023-09-11 14:19:29,593 INFO [decode.py:562] batch 40/?, cuts processed until now is 2574
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13 |
+
2023-09-11 14:19:32,196 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/modified_beam_search/recogs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
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14 |
+
2023-09-11 14:19:32,269 INFO [utils.py:562] [test-clean-beam_size_4] %WER 2.42% [1273 / 52576, 139 ins, 95 del, 1039 sub ]
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15 |
+
2023-09-11 14:19:32,442 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/modified_beam_search/errs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
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16 |
+
2023-09-11 14:19:32,443 INFO [decode.py:610]
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17 |
+
For test-clean, WER of different settings are:
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18 |
+
beam_size_4 2.42 best for test-clean
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19 |
+
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20 |
+
2023-09-11 14:19:37,300 INFO [decode.py:562] batch 0/?, cuts processed until now is 52
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+
2023-09-11 14:20:56,041 INFO [decode.py:562] batch 20/?, cuts processed until now is 1646
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22 |
+
2023-09-11 14:21:39,690 INFO [zipformer.py:1728] name=None, attn_weights_entropy = tensor([6.0102, 5.4262, 5.4479, 5.3197], device='cuda:0')
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23 |
+
2023-09-11 14:22:01,544 INFO [decode.py:562] batch 40/?, cuts processed until now is 2870
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24 |
+
2023-09-11 14:22:04,095 INFO [decode.py:580] The transcripts are stored in zipformer/exp-small/modified_beam_search/recogs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
|
25 |
+
2023-09-11 14:22:04,168 INFO [utils.py:562] [test-other-beam_size_4] %WER 5.73% [3001 / 52343, 308 ins, 244 del, 2449 sub ]
|
26 |
+
2023-09-11 14:22:04,414 INFO [decode.py:593] Wrote detailed error stats to zipformer/exp-small/modified_beam_search/errs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
|
27 |
+
2023-09-11 14:22:04,415 INFO [decode.py:610]
|
28 |
+
For test-other, WER of different settings are:
|
29 |
+
beam_size_4 5.73 best for test-other
|
30 |
+
|
31 |
+
2023-09-11 14:22:04,415 INFO [decode.py:822] Done!
|
decoding_result/modified_beam_search/recogs-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
ADDED
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decoding_result/modified_beam_search/recogs-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
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decoding_result/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
ADDED
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1 |
+
settings WER
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2 |
+
beam_size_4 2.42
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decoding_result/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-50-avg-23-modified_beam_search-beam-size-4-use-averaged-model.txt
ADDED
@@ -0,0 +1,2 @@
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1 |
+
settings WER
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2 |
+
beam_size_4 5.73
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exp/decode.sh
CHANGED
@@ -1,8 +1,8 @@
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1 |
export CUDA_VISIBLE_DEVICES="0"
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2 |
for m in greedy_search modified_beam_search fast_beam_search; do
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3 |
./zipformer/decode.py \
|
4 |
-
--epoch
|
5 |
-
--avg
|
6 |
--exp-dir zipformer/exp-small \
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7 |
--max-duration 600 \
|
8 |
--causal 0 \
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1 |
export CUDA_VISIBLE_DEVICES="0"
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2 |
for m in greedy_search modified_beam_search fast_beam_search; do
|
3 |
./zipformer/decode.py \
|
4 |
+
--epoch 50 \
|
5 |
+
--avg 23 \
|
6 |
--exp-dir zipformer/exp-small \
|
7 |
--max-duration 600 \
|
8 |
--causal 0 \
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exp/epoch-50.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99af26d0a84261c9081172d45c0b312eae30c2f7db216756b00c59b473988707
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3 |
+
size 373308527
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exp/export.sh
CHANGED
@@ -5,8 +5,8 @@
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|
5 |
--feedforward-dim 512,768,768,768,768,768 \
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6 |
--encoder-dim 192,256,256,256,256,256 \
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7 |
--encoder-unmasked-dim 192,192,192,192,192,192 \
|
8 |
-
--epoch
|
9 |
-
--avg
|
10 |
--jit 1
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11 |
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12 |
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|
5 |
--feedforward-dim 512,768,768,768,768,768 \
|
6 |
--encoder-dim 192,256,256,256,256,256 \
|
7 |
--encoder-unmasked-dim 192,192,192,192,192,192 \
|
8 |
+
--epoch 50 \
|
9 |
+
--avg 23 \
|
10 |
--jit 1
|
11 |
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12 |
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exp/jit_script.pt
CHANGED
@@ -1,3 +1,3 @@
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1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3f325d3ebac1b42613fc64200cee3bd169a62d0a41c2d2583b53510de8b8fed7
|
3 |
+
size 95783654
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exp/pretrained.pt
CHANGED
@@ -1,3 +1,3 @@
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1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 93451027
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2c0338660c6a31e53224646149f560ab14439bbc4f73e2eef59055a1c4466ebe
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3 |
size 93451027
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exp/train.sh
CHANGED
@@ -1,7 +1,7 @@
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1 |
export CUDA_VISIBLE_DEVICES="0,1"
|
2 |
./zipformer/train.py \
|
3 |
--world-size 2 \
|
4 |
-
--num-epochs
|
5 |
--start-epoch 1 \
|
6 |
--use-fp16 1 \
|
7 |
--exp-dir zipformer/exp-small \
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|
1 |
export CUDA_VISIBLE_DEVICES="0,1"
|
2 |
./zipformer/train.py \
|
3 |
--world-size 2 \
|
4 |
+
--num-epochs 50 \
|
5 |
--start-epoch 1 \
|
6 |
--use-fp16 1 \
|
7 |
--exp-dir zipformer/exp-small \
|