luomingshuang commited on Jun 23, 2022

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9f6047e

1 Parent(s): 92f215f

add files for tal-csasr pruned rnnt5 recipe

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README.md +44 -0
data/lang_char/Linv.pt +3 -0
data/lang_char/bpe.model +3 -0
data/lang_char/tokens.txt +7343 -0
data/lang_char/words.txt +0 -0
exp/cpu_jit.pt +3 -0
exp/pretrained.pt +3 -0
log/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +0 -0
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log/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt +0 -0
log/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +0 -0
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log/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt +0 -0
log/fast_beam_search/log-decode-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-2022-06-22-14-29-34 +31 -0
log/fast_beam_search/log-decode-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-2022-06-22-15-58-14 +31 -0
log/fast_beam_search/log-decode-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model-2022-06-22-18-49-05 +31 -0
log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-14-36-05 +31 -0
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log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-40-50 +23 -0
log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-44-21 +31 -0
log/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +0 -0
log/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt +0 -0
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log/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +0 -0
log/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt +0 -0
log/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt +0 -0
log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +2 -0
log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt +2 -0
log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt +2 -0
log/fast_beam_search/wer-summary-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt +2 -0
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log/fast_beam_search/wer-summary-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt +2 -0
log/greedy_search/errs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
log/greedy_search/errs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/errs-dev-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/errs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
log/greedy_search/errs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/errs-test-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/log-decode-epoch-30-avg-24-context-2-max-sym-per-frame-1-2022-06-23-14-56-02 +31 -0
log/greedy_search/log-decode-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model-2022-06-23-15-03-06 +31 -0
log/greedy_search/log-decode-iter-348000-avg-30-context-2-max-sym-per-frame-1-2022-06-23-15-06-00 +31 -0
log/greedy_search/recogs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
log/greedy_search/recogs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/recogs-dev-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/recogs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
log/greedy_search/recogs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/recogs-test-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt +0 -0
log/greedy_search/wer-summary-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt +2 -0
log/greedy_search/wer-summary-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt +2 -0

README.md ADDED Viewed

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+Note: This recipe is trained with the codes from this PR https://github.com/k2-fsa/icefall/pull/428
+# Pre-trained Transducer-Stateless5 models for the TAL_CSASR dataset with icefall.
+The model was trained on the far data of [TAL_CSASR](https://ai.100tal.com/dataset) with the scripts in [icefall](https://github.com/k2-fsa/icefall) based on the latest version k2.
+## Training procedure
+The main repositories are list below, we will update the training and decoding scripts with the update of version.
+k2: https://github.com/k2-fsa/k2
+icefall: https://github.com/k2-fsa/icefall
+lhotse: https://github.com/lhotse-speech/lhotse
+* Install k2 and lhotse, k2 installation guide refers to https://k2.readthedocs.io/en/latest/installation/index.html, lhotse refers to https://lhotse.readthedocs.io/en/latest/getting-started.html#installation. I think the latest version would be ok. And please also install the requirements listed in icefall.
+* Clone icefall(https://github.com/k2-fsa/icefall) and check to the commit showed above.
+```
+git clone https://github.com/k2-fsa/icefall
+cd icefall
+```
+* Preparing data.
+```
+cd egs/tal_csasr/ASR
+bash ./prepare.sh
+```
+* Training
+```
+export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5"
+./pruned_transducer_stateless5/train.py \
+                  --world-size 6 \
+                  --num-epochs 30 \
+                  --start-epoch 1 \
+                  --exp-dir pruned_transducer_stateless5/exp \
+                  --lang-dir data/lang_char \
+                  --max-duration 90
+```
+## Evaluation results
+The decoding results (CER%) on TAL_CSASR(dev and test) are listed below:
+|decoding-method | epoch(iter) | avg | dev | test |
+|--|--|--|--|--|
+|greedy_search | 30 | 24 | 7.49 | 7.58|
+|modified_beam_search | 30 | 24 | 7.33 | 7.38|
+|fast_beam_search | 30 | 24 | 7.32 | 7.42|
+|greedy_search(use-averaged-model=True) | 30 | 24 | 7.30 | 7.39|
+|modified_beam_search(use-averaged-model=True) | 30 | 24 | 7.15 | 7.22|
+|fast_beam_search(use-averaged-model=True) | 30 | 24 | 7.18 | 7.26|
+|greedy_search | 348000 | 30 | 7.46 | 7.54|
+|modified_beam_search | 348000 | 30 | 7.24 | 7.36|
+|fast_beam_search | 348000 | 30 | 7.25 | 7.39 |

data/lang_char/Linv.pt ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9cd6dd3b8e9e28e236cb93e24541a7159c6228b880773f625807171b34c8bb4c
+size 3157223

data/lang_char/bpe.model ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4e533651d4d934770a3173abf06fe2680e9b22efcdbbafdf3ef3362ba21f9102
+size 325654

data/lang_char/tokens.txt ADDED Viewed

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+2022-06-22 14:29:34,905 INFO [decode.py:531] Decoding started
+2022-06-22 14:29:34,906 INFO [decode.py:537] Device: cuda:0
+2022-06-22 14:29:35,083 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 14:29:35,109 INFO [decode.py:547] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-6-0603111709-76b8f59588-flzgf', 'IP address': '10.177.28.73'}, 'epoch': 30, 'iter': 0, 'avg': 24, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'epoch-30-avg-24-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 14:29:35,109 INFO [decode.py:549] About to create model
+2022-06-22 14:29:35,899 INFO [decode.py:578] averaging ['pruned_transducer_stateless5/exp/epoch-7.pt', 'pruned_transducer_stateless5/exp/epoch-8.pt', 'pruned_transducer_stateless5/exp/epoch-9.pt', 'pruned_transducer_stateless5/exp/epoch-10.pt', 'pruned_transducer_stateless5/exp/epoch-11.pt', 'pruned_transducer_stateless5/exp/epoch-12.pt', 'pruned_transducer_stateless5/exp/epoch-13.pt', 'pruned_transducer_stateless5/exp/epoch-14.pt', 'pruned_transducer_stateless5/exp/epoch-15.pt', 'pruned_transducer_stateless5/exp/epoch-16.pt', 'pruned_transducer_stateless5/exp/epoch-17.pt', 'pruned_transducer_stateless5/exp/epoch-18.pt', 'pruned_transducer_stateless5/exp/epoch-19.pt', 'pruned_transducer_stateless5/exp/epoch-20.pt', 'pruned_transducer_stateless5/exp/epoch-21.pt', 'pruned_transducer_stateless5/exp/epoch-22.pt', 'pruned_transducer_stateless5/exp/epoch-23.pt', 'pruned_transducer_stateless5/exp/epoch-24.pt', 'pruned_transducer_stateless5/exp/epoch-25.pt', 'pruned_transducer_stateless5/exp/epoch-26.pt', 'pruned_transducer_stateless5/exp/epoch-27.pt', 'pruned_transducer_stateless5/exp/epoch-28.pt', 'pruned_transducer_stateless5/exp/epoch-29.pt', 'pruned_transducer_stateless5/exp/epoch-30.pt']
+2022-06-22 14:31:24,813 INFO [decode.py:638] Number of model parameters: 102139163
+2022-06-22 14:31:24,813 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 14:31:24,820 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 14:31:25,362 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 14:31:25,362 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 14:31:26,437 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 14:31:31,598 INFO [decode.py:442] batch 0/?, cuts processed until now is 146
+2022-06-22 14:32:19,708 INFO [decode.py:459] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:32:20,059 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 5.09% [11208 / 220284, 2592 ins, 3259 del, 5357 sub ]
+2022-06-22 14:32:21,222 INFO [decode.py:472] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:32:21,223 INFO [decode.py:489]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	5.09	best for dev
+2022-06-22 14:32:26,025 INFO [decode.py:442] batch 0/?, cuts processed until now is 152
+2022-06-22 14:33:22,564 INFO [decode.py:442] batch 20/?, cuts processed until now is 4452
+2022-06-22 14:34:13,256 INFO [decode.py:442] batch 40/?, cuts processed until now is 9633
+2022-06-22 14:34:55,978 INFO [decode.py:459] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:34:57,120 INFO [utils.py:408] [test-beam_4_max_contexts_4_max_states_8] %WER 5.17% [33573 / 648871, 7503 ins, 10112 del, 15958 sub ]
+2022-06-22 14:35:00,352 INFO [decode.py:472] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:35:00,353 INFO [decode.py:489]
+For test, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	5.17	best for test
+2022-06-22 14:35:00,353 INFO [decode.py:675] Done!

log/fast_beam_search/log-decode-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-2022-06-22-15-58-14 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-22 15:58:14,422 INFO [decode.py:536] Decoding started
+2022-06-22 15:58:14,422 INFO [decode.py:542] Device: cuda:0
+2022-06-22 15:58:14,567 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 15:58:14,590 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 0, 'avg': 24, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'epoch-30-avg-24-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 15:58:14,590 INFO [decode.py:554] About to create model
+2022-06-22 15:58:15,205 INFO [decode.py:583] averaging ['pruned_transducer_stateless5/exp/epoch-7.pt', 'pruned_transducer_stateless5/exp/epoch-8.pt', 'pruned_transducer_stateless5/exp/epoch-9.pt', 'pruned_transducer_stateless5/exp/epoch-10.pt', 'pruned_transducer_stateless5/exp/epoch-11.pt', 'pruned_transducer_stateless5/exp/epoch-12.pt', 'pruned_transducer_stateless5/exp/epoch-13.pt', 'pruned_transducer_stateless5/exp/epoch-14.pt', 'pruned_transducer_stateless5/exp/epoch-15.pt', 'pruned_transducer_stateless5/exp/epoch-16.pt', 'pruned_transducer_stateless5/exp/epoch-17.pt', 'pruned_transducer_stateless5/exp/epoch-18.pt', 'pruned_transducer_stateless5/exp/epoch-19.pt', 'pruned_transducer_stateless5/exp/epoch-20.pt', 'pruned_transducer_stateless5/exp/epoch-21.pt', 'pruned_transducer_stateless5/exp/epoch-22.pt', 'pruned_transducer_stateless5/exp/epoch-23.pt', 'pruned_transducer_stateless5/exp/epoch-24.pt', 'pruned_transducer_stateless5/exp/epoch-25.pt', 'pruned_transducer_stateless5/exp/epoch-26.pt', 'pruned_transducer_stateless5/exp/epoch-27.pt', 'pruned_transducer_stateless5/exp/epoch-28.pt', 'pruned_transducer_stateless5/exp/epoch-29.pt', 'pruned_transducer_stateless5/exp/epoch-30.pt']
+2022-06-22 15:58:59,801 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-22 15:58:59,801 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 15:58:59,803 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 15:59:00,137 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 15:59:00,137 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 15:59:00,735 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 15:59:04,439 INFO [decode.py:447] batch 0/?, cuts processed until now is 146
+2022-06-22 15:59:46,745 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:59:46,886 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 7.32% [8340 / 113916, 1430 ins, 1733 del, 5177 sub ]
+2022-06-22 15:59:47,274 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:59:47,275 INFO [decode.py:494]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.32	best for dev
+2022-06-22 15:59:51,160 INFO [decode.py:447] batch 0/?, cuts processed until now is 152
+2022-06-22 16:00:42,113 INFO [decode.py:447] batch 20/?, cuts processed until now is 4452
+2022-06-22 16:01:27,292 INFO [decode.py:447] batch 40/?, cuts processed until now is 9633
+2022-06-22 16:02:04,697 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 16:02:05,126 INFO [utils.py:408] [test-beam_4_max_contexts_4_max_states_8] %WER 7.42% [24848 / 335012, 4075 ins, 5385 del, 15388 sub ]
+2022-06-22 16:02:06,215 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 16:02:06,216 INFO [decode.py:494]
+For test, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.42	best for test
+2022-06-22 16:02:06,216 INFO [decode.py:680] Done!

log/fast_beam_search/log-decode-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model-2022-06-22-18-49-05 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-22 18:49:05,844 INFO [decode.py:536] Decoding started
+2022-06-22 18:49:05,844 INFO [decode.py:542] Device: cuda:0
+2022-06-22 18:49:05,953 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 18:49:05,973 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 0, 'avg': 24, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 18:49:05,973 INFO [decode.py:554] About to create model
+2022-06-22 18:49:06,531 INFO [decode.py:621] Calculating the averaged model over epoch range from 6 (excluded) to 30
+2022-06-22 18:49:36,534 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-22 18:49:36,534 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 18:49:36,537 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 18:49:36,860 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 18:49:36,860 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 18:49:37,561 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 18:49:41,484 INFO [decode.py:447] batch 0/?, cuts processed until now is 146
+2022-06-22 18:51:06,045 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt
+2022-06-22 18:51:06,188 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 7.18% [8177 / 113916, 1428 ins, 1702 del, 5047 sub ]
+2022-06-22 18:51:06,547 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt
+2022-06-22 18:51:06,548 INFO [decode.py:494]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.18	best for dev
+2022-06-22 18:51:14,106 INFO [decode.py:447] batch 0/?, cuts processed until now is 152
+2022-06-22 18:53:14,817 INFO [decode.py:447] batch 20/?, cuts processed until now is 4452
+2022-06-22 18:53:59,760 INFO [decode.py:447] batch 40/?, cuts processed until now is 9633
+2022-06-22 18:54:37,231 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt
+2022-06-22 18:54:37,627 INFO [utils.py:408] [test-beam_4_max_contexts_4_max_states_8] %WER 7.26% [24329 / 335012, 4106 ins, 5220 del, 15003 sub ]
+2022-06-22 18:54:38,631 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt
+2022-06-22 18:54:38,631 INFO [decode.py:494]
+For test, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.26	best for test
+2022-06-22 18:54:38,631 INFO [decode.py:680] Done!

log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-14-36-05 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-22 14:36:05,889 INFO [decode.py:531] Decoding started
+2022-06-22 14:36:05,890 INFO [decode.py:537] Device: cuda:0
+2022-06-22 14:36:06,070 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 14:36:06,096 INFO [decode.py:547] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-6-0603111709-76b8f59588-flzgf', 'IP address': '10.177.28.73'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'iter-348000-avg-30-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 14:36:06,097 INFO [decode.py:549] About to create model
+2022-06-22 14:36:06,903 INFO [decode.py:567] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-22 14:38:27,948 INFO [decode.py:638] Number of model parameters: 102139163
+2022-06-22 14:38:27,948 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 14:38:27,954 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 14:38:28,495 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 14:38:28,495 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 14:38:29,584 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 14:38:34,821 INFO [decode.py:442] batch 0/?, cuts processed until now is 146
+2022-06-22 14:39:22,811 INFO [decode.py:459] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:39:23,161 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 5.06% [11156 / 220284, 2620 ins, 3303 del, 5233 sub ]
+2022-06-22 14:39:24,319 INFO [decode.py:472] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:39:24,320 INFO [decode.py:489]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	5.06	best for dev
+2022-06-22 14:39:29,115 INFO [decode.py:442] batch 0/?, cuts processed until now is 152
+2022-06-22 14:40:24,845 INFO [decode.py:442] batch 20/?, cuts processed until now is 4452
+2022-06-22 14:41:14,628 INFO [decode.py:442] batch 40/?, cuts processed until now is 9633
+2022-06-22 14:41:56,932 INFO [decode.py:459] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:41:57,998 INFO [utils.py:408] [test-beam_4_max_contexts_4_max_states_8] %WER 5.17% [33556 / 648871, 7730 ins, 10083 del, 15743 sub ]
+2022-06-22 14:42:01,293 INFO [decode.py:472] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 14:42:01,294 INFO [decode.py:489]
+For test, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	5.17	best for test
+2022-06-22 14:42:01,294 INFO [decode.py:675] Done!

log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-26-26 ADDED Viewed

	@@ -0,0 +1,13 @@

+2022-06-22 15:26:26,446 INFO [decode.py:533] Decoding started
+2022-06-22 15:26:26,447 INFO [decode.py:539] Device: cuda:0
+2022-06-22 15:26:26,582 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 15:26:26,616 INFO [decode.py:549] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'iter-348000-avg-30-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 15:26:26,616 INFO [decode.py:551] About to create model
+2022-06-22 15:26:27,191 INFO [decode.py:569] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-22 15:31:08,513 INFO [decode.py:640] Number of model parameters: 102139163
+2022-06-22 15:31:08,513 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 15:31:17,893 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 15:31:18,194 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 15:31:18,194 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 15:31:18,831 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 15:31:23,082 INFO [decode.py:444] batch 0/?, cuts processed until now is 146

log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-34-36 ADDED Viewed

	@@ -0,0 +1,13 @@

+2022-06-22 15:34:36,307 INFO [decode.py:533] Decoding started
+2022-06-22 15:34:36,307 INFO [decode.py:539] Device: cuda:0
+2022-06-22 15:34:36,454 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 15:34:36,477 INFO [decode.py:549] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'iter-348000-avg-30-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 15:34:36,477 INFO [decode.py:551] About to create model
+2022-06-22 15:34:37,070 INFO [decode.py:569] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-22 15:35:30,116 INFO [decode.py:640] Number of model parameters: 102139163
+2022-06-22 15:35:30,116 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 15:35:30,119 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 15:35:30,418 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 15:35:30,418 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 15:35:31,023 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 15:35:34,690 INFO [decode.py:444] batch 0/?, cuts processed until now is 146

log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-40-50 ADDED Viewed

	@@ -0,0 +1,23 @@

+2022-06-22 15:40:50,400 INFO [decode.py:532] Decoding started
+2022-06-22 15:40:50,401 INFO [decode.py:538] Device: cuda:0
+2022-06-22 15:40:50,518 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 15:40:50,536 INFO [decode.py:548] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'iter-348000-avg-30-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 15:40:50,536 INFO [decode.py:550] About to create model
+2022-06-22 15:40:51,112 INFO [decode.py:568] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-22 15:41:42,973 INFO [decode.py:639] Number of model parameters: 102139163
+2022-06-22 15:41:42,974 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 15:41:42,976 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 15:41:43,279 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 15:41:43,279 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 15:41:43,877 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 15:41:47,551 INFO [decode.py:443] batch 0/?, cuts processed until now is 146
+2022-06-22 15:42:29,755 INFO [decode.py:460] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:42:29,935 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 99.16% [112962 / 113916, 106140 ins, 455 del, 6367 sub ]
+2022-06-22 15:42:30,672 INFO [decode.py:473] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:42:30,673 INFO [decode.py:490]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	99.16	best for dev
+2022-06-22 15:42:35,078 INFO [decode.py:443] batch 0/?, cuts processed until now is 152
+2022-06-22 15:43:25,043 INFO [decode.py:443] batch 20/?, cuts processed until now is 4452
+2022-06-22 15:44:10,013 INFO [decode.py:443] batch 40/?, cuts processed until now is 9633

log/fast_beam_search/log-decode-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8-2022-06-22-15-44-21 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-22 15:44:21,727 INFO [decode.py:536] Decoding started
+2022-06-22 15:44:21,727 INFO [decode.py:542] Device: cuda:0
+2022-06-22 15:44:21,837 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-22 15:44:21,857 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-0602204318-5799c545db-hhjfr', 'IP address': '10.177.24.137'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'fast_beam_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 1500, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/fast_beam_search'), 'suffix': 'iter-348000-avg-30-beam-4-max-contexts-4-max-states-8', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-22 15:44:21,857 INFO [decode.py:554] About to create model
+2022-06-22 15:44:22,467 INFO [decode.py:572] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-22 15:45:14,417 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-22 15:45:14,417 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-22 15:45:14,420 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-22 15:45:14,725 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-22 15:45:14,725 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-22 15:45:15,324 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-22 15:45:18,895 INFO [decode.py:447] batch 0/?, cuts processed until now is 146
+2022-06-22 15:46:00,664 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:46:00,798 INFO [utils.py:408] [dev-beam_4_max_contexts_4_max_states_8] %WER 7.25% [8255 / 113916, 1438 ins, 1775 del, 5042 sub ]
+2022-06-22 15:46:01,144 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:46:01,144 INFO [decode.py:494]
+For dev, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.25	best for dev
+2022-06-22 15:46:04,992 INFO [decode.py:447] batch 0/?, cuts processed until now is 152
+2022-06-22 15:46:54,671 INFO [decode.py:447] batch 20/?, cuts processed until now is 4452
+2022-06-22 15:47:39,304 INFO [decode.py:447] batch 40/?, cuts processed until now is 9633
+2022-06-22 15:48:16,568 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/fast_beam_search/recogs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:48:16,984 INFO [utils.py:408] [test-beam_4_max_contexts_4_max_states_8] %WER 7.39% [24766 / 335012, 4196 ins, 5460 del, 15110 sub ]
+2022-06-22 15:48:17,997 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/fast_beam_search/errs-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt
+2022-06-22 15:48:17,998 INFO [decode.py:494]
+For test, WER of different settings are:
+beam_4_max_contexts_4_max_states_8	7.39	best for test
+2022-06-22 15:48:17,998 INFO [decode.py:680] Done!

log/fast_beam_search/recogs-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt ADDED Viewed

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log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.18

log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.32

log/fast_beam_search/wer-summary-dev-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.25

log/fast_beam_search/wer-summary-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8-use-averaged-model.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.26

log/fast_beam_search/wer-summary-test-beam_4_max_contexts_4_max_states_8-epoch-30-avg-24-beam-4-max-contexts-4-max-states-8.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.42

log/fast_beam_search/wer-summary-test-beam_4_max_contexts_4_max_states_8-iter-348000-avg-30-beam-4-max-contexts-4-max-states-8.txt ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ settings WER
2	+ beam_4_max_contexts_4_max_states_8 7.39

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log/greedy_search/log-decode-epoch-30-avg-24-context-2-max-sym-per-frame-1-2022-06-23-14-56-02 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-23 14:56:02,155 INFO [decode.py:536] Decoding started
+2022-06-23 14:56:02,155 INFO [decode.py:542] Device: cuda:0
+2022-06-23 14:56:02,262 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-23 14:56:02,280 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 30, 'iter': 0, 'avg': 24, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 800, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/greedy_search'), 'suffix': 'epoch-30-avg-24-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-23 14:56:02,280 INFO [decode.py:554] About to create model
+2022-06-23 14:56:02,848 INFO [decode.py:583] averaging ['pruned_transducer_stateless5/exp/epoch-7.pt', 'pruned_transducer_stateless5/exp/epoch-8.pt', 'pruned_transducer_stateless5/exp/epoch-9.pt', 'pruned_transducer_stateless5/exp/epoch-10.pt', 'pruned_transducer_stateless5/exp/epoch-11.pt', 'pruned_transducer_stateless5/exp/epoch-12.pt', 'pruned_transducer_stateless5/exp/epoch-13.pt', 'pruned_transducer_stateless5/exp/epoch-14.pt', 'pruned_transducer_stateless5/exp/epoch-15.pt', 'pruned_transducer_stateless5/exp/epoch-16.pt', 'pruned_transducer_stateless5/exp/epoch-17.pt', 'pruned_transducer_stateless5/exp/epoch-18.pt', 'pruned_transducer_stateless5/exp/epoch-19.pt', 'pruned_transducer_stateless5/exp/epoch-20.pt', 'pruned_transducer_stateless5/exp/epoch-21.pt', 'pruned_transducer_stateless5/exp/epoch-22.pt', 'pruned_transducer_stateless5/exp/epoch-23.pt', 'pruned_transducer_stateless5/exp/epoch-24.pt', 'pruned_transducer_stateless5/exp/epoch-25.pt', 'pruned_transducer_stateless5/exp/epoch-26.pt', 'pruned_transducer_stateless5/exp/epoch-27.pt', 'pruned_transducer_stateless5/exp/epoch-28.pt', 'pruned_transducer_stateless5/exp/epoch-29.pt', 'pruned_transducer_stateless5/exp/epoch-30.pt']
+2022-06-23 14:59:46,996 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-23 14:59:46,997 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-23 14:59:47,016 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-23 14:59:47,313 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-23 14:59:47,314 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-23 14:59:47,923 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-23 14:59:50,343 INFO [decode.py:447] batch 0/?, cuts processed until now is 78
+2022-06-23 15:00:18,745 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:00:18,876 INFO [utils.py:410] [dev-greedy_search] %WER 7.49% [8536 / 113916, 1426 ins, 1987 del, 5123 sub ]
+2022-06-23 15:00:19,220 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:00:19,221 INFO [decode.py:494]
+For dev, WER of different settings are:
+greedy_search	7.49	best for dev
+2022-06-23 15:00:21,538 INFO [decode.py:447] batch 0/?, cuts processed until now is 82
+2022-06-23 15:01:02,499 INFO [decode.py:447] batch 50/?, cuts processed until now is 6627
+2022-06-23 15:01:42,587 INFO [decode.py:447] batch 100/?, cuts processed until now is 14092
+2022-06-23 15:01:47,856 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:01:48,253 INFO [utils.py:410] [test-greedy_search] %WER 7.58% [25384 / 335012, 4025 ins, 5992 del, 15367 sub ]
+2022-06-23 15:01:49,238 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:01:49,239 INFO [decode.py:494]
+For test, WER of different settings are:
+greedy_search	7.58	best for test
+2022-06-23 15:01:49,239 INFO [decode.py:680] Done!

log/greedy_search/log-decode-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model-2022-06-23-15-03-06 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-23 15:03:06,191 INFO [decode.py:536] Decoding started
+2022-06-23 15:03:06,191 INFO [decode.py:542] Device: cuda:0
+2022-06-23 15:03:06,298 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-23 15:03:06,315 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 30, 'iter': 0, 'avg': 24, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 800, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/greedy_search'), 'suffix': 'epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-23 15:03:06,315 INFO [decode.py:554] About to create model
+2022-06-23 15:03:06,919 INFO [decode.py:621] Calculating the averaged model over epoch range from 6 (excluded) to 30
+2022-06-23 15:03:13,988 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-23 15:03:13,988 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-23 15:03:13,991 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-23 15:03:14,289 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-23 15:03:14,289 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-23 15:03:14,884 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-23 15:03:16,776 INFO [decode.py:447] batch 0/?, cuts processed until now is 78
+2022-06-23 15:03:45,168 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-06-23 15:03:45,297 INFO [utils.py:410] [dev-greedy_search] %WER 7.30% [8318 / 113916, 1384 ins, 1921 del, 5013 sub ]
+2022-06-23 15:03:45,639 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-dev-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-06-23 15:03:45,639 INFO [decode.py:494]
+For dev, WER of different settings are:
+greedy_search	7.3	best for dev
+2022-06-23 15:03:47,602 INFO [decode.py:447] batch 0/?, cuts processed until now is 82
+2022-06-23 15:04:28,459 INFO [decode.py:447] batch 50/?, cuts processed until now is 6627
+2022-06-23 15:05:08,790 INFO [decode.py:447] batch 100/?, cuts processed until now is 14092
+2022-06-23 15:05:14,097 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-06-23 15:05:14,484 INFO [utils.py:410] [test-greedy_search] %WER 7.39% [24750 / 335012, 4023 ins, 5746 del, 14981 sub ]
+2022-06-23 15:05:15,485 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-test-greedy_search-epoch-30-avg-24-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-06-23 15:05:15,485 INFO [decode.py:494]
+For test, WER of different settings are:
+greedy_search	7.39	best for test
+2022-06-23 15:05:15,486 INFO [decode.py:680] Done!

log/greedy_search/log-decode-iter-348000-avg-30-context-2-max-sym-per-frame-1-2022-06-23-15-06-00 ADDED Viewed

	@@ -0,0 +1,31 @@

+2022-06-23 15:06:00,422 INFO [decode.py:536] Decoding started
+2022-06-23 15:06:00,422 INFO [decode.py:542] Device: cuda:0
+2022-06-23 15:06:00,539 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-06-23 15:06:00,560 INFO [decode.py:552] {'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': 100, 'valid_interval': 2000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 1000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f8d2dba06c000ffee36aab5b66f24e7c9809f116', 'k2-git-date': 'Thu Apr 21 12:20:34 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'pruned-rnnt5-recipe-for-tal-csasr', 'icefall-git-sha1': 'c1c893b-dirty', 'icefall-git-date': 'Thu Jun 16 19:19:00 2022', 'icefall-path': '/ceph-meixu/luomingshuang/icefall', 'k2-path': '/ceph-ms/luomingshuang/k2_latest/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-meixu/luomingshuang/anaconda3/envs/k2-python/lib/python3.8/site-packages/lhotse-1.4.0.dev0+git.94e9ed9.clean-py3.8.egg/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-1-0307195509-54c966b95f-rtpfq', 'IP address': '10.177.22.9'}, 'epoch': 30, 'iter': 348000, 'avg': 30, 'use_averaged_model': False, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp'), 'lang_dir': 'data/lang_char', 'decoding_method': 'greedy_search', 'beam_size': 4, 'beam': 4, 'max_contexts': 4, 'max_states': 8, 'context_size': 2, 'max_sym_per_frame': 1, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank_new'), 'max_duration': 800, 'bucketing_sampler': True, 'num_buckets': 300, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'res_dir': PosixPath('pruned_transducer_stateless5/exp/greedy_search'), 'suffix': 'iter-348000-avg-30-context-2-max-sym-per-frame-1', 'blank_id': 0, 'vocab_size': 7341}
+2022-06-23 15:06:00,561 INFO [decode.py:554] About to create model
+2022-06-23 15:06:01,134 INFO [decode.py:572] averaging ['pruned_transducer_stateless5/exp/checkpoint-348000.pt', 'pruned_transducer_stateless5/exp/checkpoint-344000.pt', 'pruned_transducer_stateless5/exp/checkpoint-340000.pt', 'pruned_transducer_stateless5/exp/checkpoint-336000.pt', 'pruned_transducer_stateless5/exp/checkpoint-332000.pt', 'pruned_transducer_stateless5/exp/checkpoint-328000.pt', 'pruned_transducer_stateless5/exp/checkpoint-324000.pt', 'pruned_transducer_stateless5/exp/checkpoint-320000.pt', 'pruned_transducer_stateless5/exp/checkpoint-316000.pt', 'pruned_transducer_stateless5/exp/checkpoint-312000.pt', 'pruned_transducer_stateless5/exp/checkpoint-308000.pt', 'pruned_transducer_stateless5/exp/checkpoint-304000.pt', 'pruned_transducer_stateless5/exp/checkpoint-300000.pt', 'pruned_transducer_stateless5/exp/checkpoint-296000.pt', 'pruned_transducer_stateless5/exp/checkpoint-292000.pt', 'pruned_transducer_stateless5/exp/checkpoint-288000.pt', 'pruned_transducer_stateless5/exp/checkpoint-284000.pt', 'pruned_transducer_stateless5/exp/checkpoint-280000.pt', 'pruned_transducer_stateless5/exp/checkpoint-276000.pt', 'pruned_transducer_stateless5/exp/checkpoint-272000.pt', 'pruned_transducer_stateless5/exp/checkpoint-268000.pt', 'pruned_transducer_stateless5/exp/checkpoint-264000.pt', 'pruned_transducer_stateless5/exp/checkpoint-260000.pt', 'pruned_transducer_stateless5/exp/checkpoint-256000.pt', 'pruned_transducer_stateless5/exp/checkpoint-252000.pt', 'pruned_transducer_stateless5/exp/checkpoint-248000.pt', 'pruned_transducer_stateless5/exp/checkpoint-244000.pt', 'pruned_transducer_stateless5/exp/checkpoint-240000.pt', 'pruned_transducer_stateless5/exp/checkpoint-236000.pt', 'pruned_transducer_stateless5/exp/checkpoint-232000.pt']
+2022-06-23 15:10:47,130 INFO [decode.py:643] Number of model parameters: 102139163
+2022-06-23 15:10:47,130 INFO [asr_datamodule.py:425] About to get dev cuts
+2022-06-23 15:10:47,136 INFO [asr_datamodule.py:360] About to create dev dataset
+2022-06-23 15:10:47,477 INFO [asr_datamodule.py:381] About to create dev dataloader
+2022-06-23 15:10:47,477 INFO [asr_datamodule.py:432] About to get test cuts
+2022-06-23 15:10:48,070 INFO [asr_datamodule.py:407] About to create test dataloader
+2022-06-23 15:10:49,997 INFO [decode.py:447] batch 0/?, cuts processed until now is 78
+2022-06-23 15:11:18,396 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-dev-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:11:18,527 INFO [utils.py:410] [dev-greedy_search] %WER 7.46% [8500 / 113916, 1429 ins, 2023 del, 5048 sub ]
+2022-06-23 15:11:18,873 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-dev-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:11:18,873 INFO [decode.py:494]
+For dev, WER of different settings are:
+greedy_search	7.46	best for dev
+2022-06-23 15:11:20,850 INFO [decode.py:447] batch 0/?, cuts processed until now is 82
+2022-06-23 15:12:01,670 INFO [decode.py:447] batch 50/?, cuts processed until now is 6627
+2022-06-23 15:12:41,886 INFO [decode.py:447] batch 100/?, cuts processed until now is 14092
+2022-06-23 15:12:47,122 INFO [decode.py:464] The transcripts are stored in pruned_transducer_stateless5/exp/greedy_search/recogs-test-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:12:47,519 INFO [utils.py:410] [test-greedy_search] %WER 7.54% [25247 / 335012, 4175 ins, 5993 del, 15079 sub ]
+2022-06-23 15:12:48,519 INFO [decode.py:477] Wrote detailed error stats to pruned_transducer_stateless5/exp/greedy_search/errs-test-greedy_search-iter-348000-avg-30-context-2-max-sym-per-frame-1.txt
+2022-06-23 15:12:48,520 INFO [decode.py:494]
+For test, WER of different settings are:
+greedy_search	7.54	best for test
+2022-06-23 15:12:48,520 INFO [decode.py:680] Done!

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1	+ settings WER
2	+ greedy_search 7.3

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1	+ settings WER
2	+ greedy_search 7.49