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icefall-asr-aishell2-pruned-transducer-stateless5-A-2022-07-12

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Yuekai commited on Jul 13, 2022

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upload model with context_size 2

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README.md +8 -0
data/lang_char/L.pt +3 -0
data/lang_char/L_disambig.pt +3 -0
data/lang_char/Linv.pt +3 -0
data/lang_char/lexicon.txt +0 -0
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data/lang_char/words.txt +0 -0
data/lang_char/words_no_ids.txt +0 -0
exp/cpu_jit.pt +3 -0
exp/fast_beam_search/errs-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
exp/fast_beam_search/errs-test-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
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exp/fast_beam_search/recogs-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +0 -0
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exp/fast_beam_search/wer-summary-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt +2 -0
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exp/greedy_search/errs-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
exp/greedy_search/errs-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt +0 -0
exp/greedy_search/log-decode-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model-2022-07-11-13-29-54 +11 -0
exp/greedy_search/log-decode-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model-2022-07-11-13-30-47 +28 -0
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exp/greedy_search/wer-summary-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt +2 -0
exp/greedy_search/wer-summary-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt +2 -0
exp/log/log-train-2022-07-07-10-14-37 +19 -0
exp/log/log-train-2022-07-07-10-15-44-0 +23 -0
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exp/log/log-train-2022-07-07-11-41-26-0 +22 -0
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exp/log/log-train-2022-07-07-11-48-50 +22 -0
exp/log/log-train-2022-07-07-12-52-29 +0 -0
exp/modified_beam_search/errs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
exp/modified_beam_search/errs-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
exp/modified_beam_search/log-decode-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model-2022-07-11-13-30-15 +6 -0
exp/modified_beam_search/log-decode-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model-2022-07-11-13-31-34 +29 -0
exp/modified_beam_search/recogs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
exp/modified_beam_search/recogs-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +0 -0
exp/modified_beam_search/wer-summary-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +2 -0
exp/modified_beam_search/wer-summary-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt +2 -0
exp/pretrained.pt +3 -0

README.md CHANGED Viewed

@@ -1,3 +1,11 @@
 ---
 license: apache-2.0
 ---

 ---
 license: apache-2.0
 ---
+### How to clone this repo
+```
+sudo apt-get install git-lfs
+git clone https://huggingface.co/yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-A-2022-07-12
+cd https://huggingface.co/yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-A-2022-07-12
+git lfs pull
+```

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exp/fast_beam_search/log-decode-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model-2022-07-11-13-35-40 ADDED Viewed

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+2022-07-11 13:35:40,750 INFO [decode.py:536] Decoding started
+2022-07-11 13:35:40,751 INFO [decode.py:542] Device: cuda:0
+2022-07-11 13:35:41,377 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-11 13:35:41,459 INFO [decode.py:550] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f910452c594ac57b9a6117ad9b353555f95d45d8', 'k2-git-date': 'Mon Jul 4 14:26:28 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/lib/python3.8/site-packages/k2-1.17.dev20220707+cuda11.3.torch1.11.0-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'epoch': 25, 'iter': 0, 'avg': 5, 'use_averaged_model': True, 'exp_dir': PosixPath('/result'), 'lang_dir': PosixPath('data/lang_char'), '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': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, '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('/result/fast_beam_search'), 'suffix': 'epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 5237}
+2022-07-11 13:35:41,460 INFO [decode.py:552] About to create model
+2022-07-11 13:35:42,238 INFO [decode.py:619] Calculating the averaged model over epoch range from 20 (excluded) to 25
+2022-07-11 13:35:55,004 INFO [decode.py:643] Number of model parameters: 96910451
+2022-07-11 13:35:55,004 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-11 13:35:55,013 INFO [asr_datamodule.py:415] About to gen cuts from aishell2_cuts_test.jsonl.gz
+2022-07-11 13:35:55,015 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-11 13:35:55,217 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-11 13:35:58,191 INFO [decode.py:443] batch 0/?, cuts processed until now is 171
+2022-07-11 13:36:15,395 INFO [decode.py:460] The transcripts are stored in /result/fast_beam_search/recogs-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2022-07-11 13:36:15,455 INFO [utils.py:420] [dev-beam_20.0_max_contexts_8_max_states_64] %WER 5.36% [1329 / 24802, 38 ins, 63 del, 1228 sub ]
+2022-07-11 13:36:15,618 INFO [decode.py:473] Wrote detailed error stats to /result/fast_beam_search/errs-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2022-07-11 13:36:15,619 INFO [decode.py:490]
+For dev, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	5.36	best for dev
+2022-07-11 13:36:18,212 INFO [decode.py:443] batch 0/?, cuts processed until now is 176
+2022-07-11 13:36:43,500 INFO [decode.py:443] batch 20/?, cuts processed until now is 4238
+2022-07-11 13:36:49,624 INFO [decode.py:460] The transcripts are stored in /result/fast_beam_search/recogs-test-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2022-07-11 13:36:49,760 INFO [utils.py:420] [test-beam_20.0_max_contexts_8_max_states_64] %WER 5.61% [2778 / 49534, 74 ins, 131 del, 2573 sub ]
+2022-07-11 13:36:50,078 INFO [decode.py:473] Wrote detailed error stats to /result/fast_beam_search/errs-test-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt
+2022-07-11 13:36:50,079 INFO [decode.py:490]
+For test, WER of different settings are:
+beam_20.0_max_contexts_8_max_states_64	5.61	best for test
+2022-07-11 13:36:50,079 INFO [decode.py:672] Done!

exp/fast_beam_search/recogs-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt ADDED Viewed

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exp/fast_beam_search/recogs-test-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt ADDED Viewed

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exp/fast_beam_search/wer-summary-dev-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ beam_20.0_max_contexts_8_max_states_64 5.36

exp/fast_beam_search/wer-summary-test-beam_20.0_max_contexts_8_max_states_64-epoch-25-avg-5-beam-20.0-max-contexts-8-max-states-64-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ beam_20.0_max_contexts_8_max_states_64 5.61

exp/greedy_search/errs-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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exp/greedy_search/errs-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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exp/greedy_search/log-decode-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model-2022-07-11-13-29-54 ADDED Viewed

	@@ -0,0 +1,11 @@

+2022-07-11 13:29:54,228 INFO [decode.py:536] Decoding started
+2022-07-11 13:29:54,229 INFO [decode.py:542] Device: cuda:0
+2022-07-11 13:29:54,846 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-11 13:29:54,920 INFO [decode.py:550] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f910452c594ac57b9a6117ad9b353555f95d45d8', 'k2-git-date': 'Mon Jul 4 14:26:28 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/lib/python3.8/site-packages/k2-1.17.dev20220707+cuda11.3.torch1.11.0-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'epoch': 25, 'iter': 0, 'avg': 5, 'use_averaged_model': True, 'exp_dir': PosixPath('/result'), 'lang_dir': PosixPath('data/lang_char'), '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': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, '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('/result/greedy_search'), 'suffix': 'epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 5237}
+2022-07-11 13:29:54,921 INFO [decode.py:552] About to create model
+2022-07-11 13:29:55,658 INFO [decode.py:619] Calculating the averaged model over epoch range from 20 (excluded) to 25
+2022-07-11 13:30:08,352 INFO [decode.py:643] Number of model parameters: 96910451
+2022-07-11 13:30:08,352 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-11 13:30:08,356 INFO [asr_datamodule.py:415] About to gen cuts from aishell2_cuts_test.jsonl.gz
+2022-07-11 13:30:08,358 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-11 13:30:08,561 INFO [asr_datamodule.py:366] About to create dev dataloader

exp/greedy_search/log-decode-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model-2022-07-11-13-30-47 ADDED Viewed

	@@ -0,0 +1,28 @@

+2022-07-11 13:30:47,205 INFO [decode.py:536] Decoding started
+2022-07-11 13:30:47,206 INFO [decode.py:542] Device: cuda:0
+2022-07-11 13:30:47,814 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-11 13:30:47,895 INFO [decode.py:550] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f910452c594ac57b9a6117ad9b353555f95d45d8', 'k2-git-date': 'Mon Jul 4 14:26:28 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/lib/python3.8/site-packages/k2-1.17.dev20220707+cuda11.3.torch1.11.0-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'epoch': 25, 'iter': 0, 'avg': 5, 'use_averaged_model': True, 'exp_dir': PosixPath('/result'), 'lang_dir': PosixPath('data/lang_char'), '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': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, '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('/result/greedy_search'), 'suffix': 'epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 5237}
+2022-07-11 13:30:47,896 INFO [decode.py:552] About to create model
+2022-07-11 13:30:48,636 INFO [decode.py:619] Calculating the averaged model over epoch range from 20 (excluded) to 25
+2022-07-11 13:31:01,141 INFO [decode.py:643] Number of model parameters: 96910451
+2022-07-11 13:31:01,142 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-11 13:31:01,146 INFO [asr_datamodule.py:415] About to gen cuts from aishell2_cuts_test.jsonl.gz
+2022-07-11 13:31:01,148 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-11 13:31:01,358 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-11 13:31:03,752 INFO [decode.py:443] batch 0/?, cuts processed until now is 171
+2022-07-11 13:31:12,033 INFO [decode.py:460] The transcripts are stored in /result/greedy_search/recogs-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-07-11 13:31:12,092 INFO [utils.py:420] [dev-greedy_search] %WER 5.47% [1357 / 24802, 39 ins, 90 del, 1228 sub ]
+2022-07-11 13:31:12,253 INFO [decode.py:473] Wrote detailed error stats to /result/greedy_search/errs-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-07-11 13:31:12,254 INFO [decode.py:490]
+For dev, WER of different settings are:
+greedy_search	5.47	best for dev
+2022-07-11 13:31:14,152 INFO [decode.py:443] batch 0/?, cuts processed until now is 176
+2022-07-11 13:31:29,531 INFO [decode.py:460] The transcripts are stored in /result/greedy_search/recogs-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-07-11 13:31:29,646 INFO [utils.py:420] [test-greedy_search] %WER 5.81% [2879 / 49534, 95 ins, 195 del, 2589 sub ]
+2022-07-11 13:31:29,958 INFO [decode.py:473] Wrote detailed error stats to /result/greedy_search/errs-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2022-07-11 13:31:29,959 INFO [decode.py:490]
+For test, WER of different settings are:
+greedy_search	5.81	best for test
+2022-07-11 13:31:29,959 INFO [decode.py:672] Done!

exp/greedy_search/recogs-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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exp/greedy_search/recogs-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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exp/greedy_search/wer-summary-dev-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ greedy_search 5.47

exp/greedy_search/wer-summary-test-greedy_search-epoch-25-avg-5-context-2-max-sym-per-frame-1-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ greedy_search 5.81

exp/log/log-train-2022-07-07-10-14-37 ADDED Viewed

	@@ -0,0 +1,19 @@

+2022-07-07 10:14:37,944 INFO [train.py:888] Training started
+2022-07-07 10:14:38,128 INFO [train.py:898] Device: cuda:0
+2022-07-07 10:14:39,244 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 10:14:39,724 INFO [train.py:909] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 1, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 10:14:39,725 INFO [train.py:911] About to create model
+2022-07-07 10:14:40,692 INFO [train.py:915] Number of model parameters: 96910451
+2022-07-07 10:14:47,173 INFO [asr_datamodule.py:401] About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 10:14:47,272 INFO [asr_datamodule.py:217] Enable MUSAN
+2022-07-07 10:14:47,273 INFO [asr_datamodule.py:218] About to get Musan cuts
+2022-07-07 10:14:50,449 INFO [asr_datamodule.py:246] Enable SpecAugment
+2022-07-07 10:14:50,450 INFO [asr_datamodule.py:247] Time warp factor: 80
+2022-07-07 10:14:50,450 INFO [asr_datamodule.py:259] Num frame mask: 10
+2022-07-07 10:14:50,450 INFO [asr_datamodule.py:272] About to create train dataset
+2022-07-07 10:14:50,451 INFO [asr_datamodule.py:301] Using DynamicBucketingSampler.
+2022-07-07 10:14:54,337 INFO [asr_datamodule.py:316] About to create train dataloader
+2022-07-07 10:14:54,339 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 10:14:54,476 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-07 10:14:54,680 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-07 10:14:54,681 INFO [train.py:1088] Sanity check -- see if any of the batches in epoch 1 would cause OOM.

exp/log/log-train-2022-07-07-10-15-44-0 ADDED Viewed

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

+2022-07-07 10:15:44,663 INFO [train.py:888] (0/4) Training started
+2022-07-07 10:15:44,698 INFO [train.py:898] (0/4) Device: cuda:0
+2022-07-07 10:15:45,326 INFO [lexicon.py:176] (0/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 10:15:45,419 INFO [train.py:909] (0/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 10:15:45,419 INFO [train.py:911] (0/4) About to create model
+2022-07-07 10:15:46,455 INFO [train.py:915] (0/4) Number of model parameters: 96910451
+2022-07-07 10:15:47,164 INFO [train.py:930] (0/4) Using DDP
+2022-07-07 10:15:47,286 INFO [asr_datamodule.py:401] (0/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:217] (0/4) Enable MUSAN
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:218] (0/4) About to get Musan cuts
+2022-07-07 10:15:50,311 INFO [asr_datamodule.py:246] (0/4) Enable SpecAugment
+2022-07-07 10:15:50,311 INFO [asr_datamodule.py:247] (0/4) Time warp factor: 80
+2022-07-07 10:15:50,312 INFO [asr_datamodule.py:259] (0/4) Num frame mask: 10
+2022-07-07 10:15:50,312 INFO [asr_datamodule.py:272] (0/4) About to create train dataset
+2022-07-07 10:15:50,312 INFO [asr_datamodule.py:301] (0/4) Using DynamicBucketingSampler.
+2022-07-07 10:15:54,088 INFO [asr_datamodule.py:316] (0/4) About to create train dataloader
+2022-07-07 10:15:54,088 INFO [asr_datamodule.py:408] (0/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 10:15:54,090 INFO [asr_datamodule.py:347] (0/4) About to create dev dataset
+2022-07-07 10:15:54,294 INFO [asr_datamodule.py:366] (0/4) About to create dev dataloader
+2022-07-07 10:15:54,294 INFO [train.py:1088] (0/4) Sanity check -- see if any of the batches in epoch 1 would cause OOM.
+2022-07-07 10:27:50,048 INFO [train.py:1065] (0/4) Saving batch to /result/batch-ff50bde4-3825-67b8-5cab-cc97663f1c97.pt
+2022-07-07 10:27:50,257 INFO [train.py:1071] (0/4) features shape: torch.Size([39, 800, 80])
+2022-07-07 10:27:50,259 INFO [train.py:1075] (0/4) num tokens: 780

exp/log/log-train-2022-07-07-10-15-44-1 ADDED Viewed

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

+2022-07-07 10:15:44,640 INFO [train.py:888] (1/4) Training started
+2022-07-07 10:15:44,641 INFO [train.py:898] (1/4) Device: cuda:1
+2022-07-07 10:15:45,313 INFO [lexicon.py:176] (1/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 10:15:45,405 INFO [train.py:909] (1/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 10:15:45,406 INFO [train.py:911] (1/4) About to create model
+2022-07-07 10:15:46,341 INFO [train.py:915] (1/4) Number of model parameters: 96910451
+2022-07-07 10:15:46,520 INFO [train.py:930] (1/4) Using DDP
+2022-07-07 10:15:47,285 INFO [asr_datamodule.py:401] (1/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 10:15:47,289 INFO [asr_datamodule.py:217] (1/4) Enable MUSAN
+2022-07-07 10:15:47,290 INFO [asr_datamodule.py:218] (1/4) About to get Musan cuts
+2022-07-07 10:15:50,259 INFO [asr_datamodule.py:246] (1/4) Enable SpecAugment
+2022-07-07 10:15:50,260 INFO [asr_datamodule.py:247] (1/4) Time warp factor: 80
+2022-07-07 10:15:50,260 INFO [asr_datamodule.py:259] (1/4) Num frame mask: 10
+2022-07-07 10:15:50,260 INFO [asr_datamodule.py:272] (1/4) About to create train dataset
+2022-07-07 10:15:50,261 INFO [asr_datamodule.py:301] (1/4) Using DynamicBucketingSampler.
+2022-07-07 10:15:53,650 INFO [asr_datamodule.py:316] (1/4) About to create train dataloader
+2022-07-07 10:15:53,652 INFO [asr_datamodule.py:408] (1/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 10:15:53,654 INFO [asr_datamodule.py:347] (1/4) About to create dev dataset
+2022-07-07 10:15:53,859 INFO [asr_datamodule.py:366] (1/4) About to create dev dataloader
+2022-07-07 10:15:53,860 INFO [train.py:1088] (1/4) Sanity check -- see if any of the batches in epoch 1 would cause OOM.
+2022-07-07 10:27:59,605 INFO [train.py:1065] (1/4) Saving batch to /result/batch-ff50bde4-3825-67b8-5cab-cc97663f1c97.pt
+2022-07-07 10:27:59,769 INFO [train.py:1071] (1/4) features shape: torch.Size([39, 800, 80])
+2022-07-07 10:27:59,771 INFO [train.py:1075] (1/4) num tokens: 804

exp/log/log-train-2022-07-07-10-15-44-2 ADDED Viewed

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

+2022-07-07 10:15:44,647 INFO [train.py:888] (2/4) Training started
+2022-07-07 10:15:44,647 INFO [train.py:898] (2/4) Device: cuda:2
+2022-07-07 10:15:45,313 INFO [lexicon.py:176] (2/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 10:15:45,405 INFO [train.py:909] (2/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 10:15:45,405 INFO [train.py:911] (2/4) About to create model
+2022-07-07 10:15:46,431 INFO [train.py:915] (2/4) Number of model parameters: 96910451
+2022-07-07 10:15:46,712 INFO [train.py:930] (2/4) Using DDP
+2022-07-07 10:15:47,286 INFO [asr_datamodule.py:401] (2/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:217] (2/4) Enable MUSAN
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:218] (2/4) About to get Musan cuts
+2022-07-07 10:15:50,330 INFO [asr_datamodule.py:246] (2/4) Enable SpecAugment
+2022-07-07 10:15:50,330 INFO [asr_datamodule.py:247] (2/4) Time warp factor: 80
+2022-07-07 10:15:50,331 INFO [asr_datamodule.py:259] (2/4) Num frame mask: 10
+2022-07-07 10:15:50,331 INFO [asr_datamodule.py:272] (2/4) About to create train dataset
+2022-07-07 10:15:50,331 INFO [asr_datamodule.py:301] (2/4) Using DynamicBucketingSampler.
+2022-07-07 10:15:53,763 INFO [asr_datamodule.py:316] (2/4) About to create train dataloader
+2022-07-07 10:15:53,764 INFO [asr_datamodule.py:408] (2/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 10:15:53,766 INFO [asr_datamodule.py:347] (2/4) About to create dev dataset
+2022-07-07 10:15:53,977 INFO [asr_datamodule.py:366] (2/4) About to create dev dataloader
+2022-07-07 10:15:53,977 INFO [train.py:1088] (2/4) Sanity check -- see if any of the batches in epoch 1 would cause OOM.
+2022-07-07 10:28:01,669 INFO [train.py:1065] (2/4) Saving batch to /result/batch-ff50bde4-3825-67b8-5cab-cc97663f1c97.pt
+2022-07-07 10:28:01,970 INFO [train.py:1071] (2/4) features shape: torch.Size([39, 800, 80])
+2022-07-07 10:28:01,972 INFO [train.py:1075] (2/4) num tokens: 822

exp/log/log-train-2022-07-07-10-15-44-3 ADDED Viewed

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

+2022-07-07 10:15:44,687 INFO [train.py:888] (3/4) Training started
+2022-07-07 10:15:44,688 INFO [train.py:898] (3/4) Device: cuda:3
+2022-07-07 10:15:45,332 INFO [lexicon.py:176] (3/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 10:15:45,421 INFO [train.py:909] (3/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 10:15:45,422 INFO [train.py:911] (3/4) About to create model
+2022-07-07 10:15:46,439 INFO [train.py:915] (3/4) Number of model parameters: 96910451
+2022-07-07 10:15:46,738 INFO [train.py:930] (3/4) Using DDP
+2022-07-07 10:15:47,287 INFO [asr_datamodule.py:401] (3/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:217] (3/4) Enable MUSAN
+2022-07-07 10:15:47,291 INFO [asr_datamodule.py:218] (3/4) About to get Musan cuts
+2022-07-07 10:15:50,317 INFO [asr_datamodule.py:246] (3/4) Enable SpecAugment
+2022-07-07 10:15:50,317 INFO [asr_datamodule.py:247] (3/4) Time warp factor: 80
+2022-07-07 10:15:50,318 INFO [asr_datamodule.py:259] (3/4) Num frame mask: 10
+2022-07-07 10:15:50,318 INFO [asr_datamodule.py:272] (3/4) About to create train dataset
+2022-07-07 10:15:50,318 INFO [asr_datamodule.py:301] (3/4) Using DynamicBucketingSampler.
+2022-07-07 10:15:53,727 INFO [asr_datamodule.py:316] (3/4) About to create train dataloader
+2022-07-07 10:15:53,728 INFO [asr_datamodule.py:408] (3/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 10:15:53,730 INFO [asr_datamodule.py:347] (3/4) About to create dev dataset
+2022-07-07 10:15:53,932 INFO [asr_datamodule.py:366] (3/4) About to create dev dataloader
+2022-07-07 10:15:53,933 INFO [train.py:1088] (3/4) Sanity check -- see if any of the batches in epoch 1 would cause OOM.
+2022-07-07 10:28:01,636 INFO [train.py:1065] (3/4) Saving batch to /result/batch-ff50bde4-3825-67b8-5cab-cc97663f1c97.pt
+2022-07-07 10:28:01,796 INFO [train.py:1071] (3/4) features shape: torch.Size([39, 800, 80])
+2022-07-07 10:28:01,798 INFO [train.py:1075] (3/4) num tokens: 782

exp/log/log-train-2022-07-07-11-38-00-0 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:38:01,269 INFO [train.py:888] (0/4) Training started
+2022-07-07 11:38:01,290 INFO [train.py:898] (0/4) Device: cuda:0
+2022-07-07 11:38:01,926 INFO [lexicon.py:176] (0/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:38:02,029 INFO [train.py:909] (0/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:38:02,030 INFO [train.py:911] (0/4) About to create model
+2022-07-07 11:38:03,008 INFO [train.py:915] (0/4) Number of model parameters: 96910451
+2022-07-07 11:38:03,586 INFO [train.py:930] (0/4) Using DDP
+2022-07-07 11:38:03,712 INFO [asr_datamodule.py:401] (0/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:38:03,716 INFO [asr_datamodule.py:217] (0/4) Enable MUSAN
+2022-07-07 11:38:03,716 INFO [asr_datamodule.py:218] (0/4) About to get Musan cuts
+2022-07-07 11:38:06,647 INFO [asr_datamodule.py:246] (0/4) Enable SpecAugment
+2022-07-07 11:38:06,648 INFO [asr_datamodule.py:247] (0/4) Time warp factor: 80
+2022-07-07 11:38:06,648 INFO [asr_datamodule.py:259] (0/4) Num frame mask: 10
+2022-07-07 11:38:06,649 INFO [asr_datamodule.py:272] (0/4) About to create train dataset
+2022-07-07 11:38:06,649 INFO [asr_datamodule.py:301] (0/4) Using DynamicBucketingSampler.
+2022-07-07 11:38:10,358 INFO [asr_datamodule.py:316] (0/4) About to create train dataloader
+2022-07-07 11:38:10,359 INFO [asr_datamodule.py:408] (0/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:38:10,361 INFO [asr_datamodule.py:347] (0/4) About to create dev dataset
+2022-07-07 11:38:10,564 INFO [asr_datamodule.py:366] (0/4) About to create dev dataloader
+2022-07-07 11:38:42,328 INFO [train.py:1065] (0/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:38:42,478 INFO [train.py:1071] (0/4) features shape: torch.Size([45, 672, 80])
+2022-07-07 11:38:42,480 INFO [train.py:1075] (0/4) num tokens: 912

exp/log/log-train-2022-07-07-11-38-00-1 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:38:01,283 INFO [train.py:888] (1/4) Training started
+2022-07-07 11:38:01,284 INFO [train.py:898] (1/4) Device: cuda:1
+2022-07-07 11:38:01,936 INFO [lexicon.py:176] (1/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:38:02,037 INFO [train.py:909] (1/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:38:02,038 INFO [train.py:911] (1/4) About to create model
+2022-07-07 11:38:03,026 INFO [train.py:915] (1/4) Number of model parameters: 96910451
+2022-07-07 11:38:03,215 INFO [train.py:930] (1/4) Using DDP
+2022-07-07 11:38:03,713 INFO [asr_datamodule.py:401] (1/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:38:03,719 INFO [asr_datamodule.py:217] (1/4) Enable MUSAN
+2022-07-07 11:38:03,719 INFO [asr_datamodule.py:218] (1/4) About to get Musan cuts
+2022-07-07 11:38:06,733 INFO [asr_datamodule.py:246] (1/4) Enable SpecAugment
+2022-07-07 11:38:06,733 INFO [asr_datamodule.py:247] (1/4) Time warp factor: 80
+2022-07-07 11:38:06,733 INFO [asr_datamodule.py:259] (1/4) Num frame mask: 10
+2022-07-07 11:38:06,734 INFO [asr_datamodule.py:272] (1/4) About to create train dataset
+2022-07-07 11:38:06,734 INFO [asr_datamodule.py:301] (1/4) Using DynamicBucketingSampler.
+2022-07-07 11:38:10,200 INFO [asr_datamodule.py:316] (1/4) About to create train dataloader
+2022-07-07 11:38:10,201 INFO [asr_datamodule.py:408] (1/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:38:10,204 INFO [asr_datamodule.py:347] (1/4) About to create dev dataset
+2022-07-07 11:38:10,416 INFO [asr_datamodule.py:366] (1/4) About to create dev dataloader
+2022-07-07 11:38:48,504 INFO [train.py:1065] (1/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:38:48,665 INFO [train.py:1071] (1/4) features shape: torch.Size([84, 364, 80])
+2022-07-07 11:38:48,667 INFO [train.py:1075] (1/4) num tokens: 969

exp/log/log-train-2022-07-07-11-38-00-2 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:38:01,274 INFO [train.py:888] (2/4) Training started
+2022-07-07 11:38:01,275 INFO [train.py:898] (2/4) Device: cuda:2
+2022-07-07 11:38:01,919 INFO [lexicon.py:176] (2/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:38:02,011 INFO [train.py:909] (2/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:38:02,011 INFO [train.py:911] (2/4) About to create model
+2022-07-07 11:38:03,000 INFO [train.py:915] (2/4) Number of model parameters: 96910451
+2022-07-07 11:38:03,188 INFO [train.py:930] (2/4) Using DDP
+2022-07-07 11:38:03,712 INFO [asr_datamodule.py:401] (2/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:38:03,716 INFO [asr_datamodule.py:217] (2/4) Enable MUSAN
+2022-07-07 11:38:03,716 INFO [asr_datamodule.py:218] (2/4) About to get Musan cuts
+2022-07-07 11:38:06,650 INFO [asr_datamodule.py:246] (2/4) Enable SpecAugment
+2022-07-07 11:38:06,650 INFO [asr_datamodule.py:247] (2/4) Time warp factor: 80
+2022-07-07 11:38:06,650 INFO [asr_datamodule.py:259] (2/4) Num frame mask: 10
+2022-07-07 11:38:06,651 INFO [asr_datamodule.py:272] (2/4) About to create train dataset
+2022-07-07 11:38:06,651 INFO [asr_datamodule.py:301] (2/4) Using DynamicBucketingSampler.
+2022-07-07 11:38:09,978 INFO [asr_datamodule.py:316] (2/4) About to create train dataloader
+2022-07-07 11:38:09,978 INFO [asr_datamodule.py:408] (2/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:38:09,980 INFO [asr_datamodule.py:347] (2/4) About to create dev dataset
+2022-07-07 11:38:10,186 INFO [asr_datamodule.py:366] (2/4) About to create dev dataloader
+2022-07-07 11:38:47,665 INFO [train.py:1065] (2/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:38:47,826 INFO [train.py:1071] (2/4) features shape: torch.Size([53, 571, 80])
+2022-07-07 11:38:47,828 INFO [train.py:1075] (2/4) num tokens: 924

exp/log/log-train-2022-07-07-11-38-00-3 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:38:01,297 INFO [train.py:888] (3/4) Training started
+2022-07-07 11:38:01,298 INFO [train.py:898] (3/4) Device: cuda:3
+2022-07-07 11:38:01,974 INFO [lexicon.py:176] (3/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:38:02,065 INFO [train.py:909] (3/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.15.1', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'c11c0b70e91d24935514b73d6bffddc8f5a07932', 'k2-git-date': 'Sat Jun 4 14:06:20 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:38:02,065 INFO [train.py:911] (3/4) About to create model
+2022-07-07 11:38:03,014 INFO [train.py:915] (3/4) Number of model parameters: 96910451
+2022-07-07 11:38:03,215 INFO [train.py:930] (3/4) Using DDP
+2022-07-07 11:38:03,713 INFO [asr_datamodule.py:401] (3/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:38:03,719 INFO [asr_datamodule.py:217] (3/4) Enable MUSAN
+2022-07-07 11:38:03,719 INFO [asr_datamodule.py:218] (3/4) About to get Musan cuts
+2022-07-07 11:38:06,719 INFO [asr_datamodule.py:246] (3/4) Enable SpecAugment
+2022-07-07 11:38:06,719 INFO [asr_datamodule.py:247] (3/4) Time warp factor: 80
+2022-07-07 11:38:06,720 INFO [asr_datamodule.py:259] (3/4) Num frame mask: 10
+2022-07-07 11:38:06,720 INFO [asr_datamodule.py:272] (3/4) About to create train dataset
+2022-07-07 11:38:06,720 INFO [asr_datamodule.py:301] (3/4) Using DynamicBucketingSampler.
+2022-07-07 11:38:10,179 INFO [asr_datamodule.py:316] (3/4) About to create train dataloader
+2022-07-07 11:38:10,180 INFO [asr_datamodule.py:408] (3/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:38:10,183 INFO [asr_datamodule.py:347] (3/4) About to create dev dataset
+2022-07-07 11:38:10,390 INFO [asr_datamodule.py:366] (3/4) About to create dev dataloader
+2022-07-07 11:38:47,190 INFO [train.py:1065] (3/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:38:47,494 INFO [train.py:1071] (3/4) features shape: torch.Size([43, 720, 80])
+2022-07-07 11:38:47,496 INFO [train.py:1075] (3/4) num tokens: 838

exp/log/log-train-2022-07-07-11-41-26-0 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:41:26,947 INFO [train.py:888] (0/4) Training started
+2022-07-07 11:41:26,953 INFO [train.py:898] (0/4) Device: cuda:0
+2022-07-07 11:41:27,589 INFO [lexicon.py:176] (0/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:41:27,676 INFO [train.py:909] (0/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:41:27,677 INFO [train.py:911] (0/4) About to create model
+2022-07-07 11:41:28,633 INFO [train.py:915] (0/4) Number of model parameters: 96910451
+2022-07-07 11:41:29,318 INFO [train.py:930] (0/4) Using DDP
+2022-07-07 11:41:29,459 INFO [asr_datamodule.py:401] (0/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:41:29,463 INFO [asr_datamodule.py:217] (0/4) Enable MUSAN
+2022-07-07 11:41:29,463 INFO [asr_datamodule.py:218] (0/4) About to get Musan cuts
+2022-07-07 11:41:32,415 INFO [asr_datamodule.py:246] (0/4) Enable SpecAugment
+2022-07-07 11:41:32,415 INFO [asr_datamodule.py:247] (0/4) Time warp factor: 80
+2022-07-07 11:41:32,416 INFO [asr_datamodule.py:259] (0/4) Num frame mask: 10
+2022-07-07 11:41:32,416 INFO [asr_datamodule.py:272] (0/4) About to create train dataset
+2022-07-07 11:41:32,416 INFO [asr_datamodule.py:301] (0/4) Using DynamicBucketingSampler.
+2022-07-07 11:41:36,204 INFO [asr_datamodule.py:316] (0/4) About to create train dataloader
+2022-07-07 11:41:36,205 INFO [asr_datamodule.py:408] (0/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:41:36,207 INFO [asr_datamodule.py:347] (0/4) About to create dev dataset
+2022-07-07 11:41:36,413 INFO [asr_datamodule.py:366] (0/4) About to create dev dataloader
+2022-07-07 11:41:51,563 INFO [train.py:1065] (0/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:41:51,721 INFO [train.py:1071] (0/4) features shape: torch.Size([45, 672, 80])
+2022-07-07 11:41:51,723 INFO [train.py:1075] (0/4) num tokens: 912

exp/log/log-train-2022-07-07-11-41-26-1 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:41:26,949 INFO [train.py:888] (1/4) Training started
+2022-07-07 11:41:26,949 INFO [train.py:898] (1/4) Device: cuda:1
+2022-07-07 11:41:27,597 INFO [lexicon.py:176] (1/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:41:27,696 INFO [train.py:909] (1/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:41:27,697 INFO [train.py:911] (1/4) About to create model
+2022-07-07 11:41:28,663 INFO [train.py:915] (1/4) Number of model parameters: 96910451
+2022-07-07 11:41:28,922 INFO [train.py:930] (1/4) Using DDP
+2022-07-07 11:41:29,460 INFO [asr_datamodule.py:401] (1/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:41:29,465 INFO [asr_datamodule.py:217] (1/4) Enable MUSAN
+2022-07-07 11:41:29,465 INFO [asr_datamodule.py:218] (1/4) About to get Musan cuts
+2022-07-07 11:41:32,733 INFO [asr_datamodule.py:246] (1/4) Enable SpecAugment
+2022-07-07 11:41:32,734 INFO [asr_datamodule.py:247] (1/4) Time warp factor: 80
+2022-07-07 11:41:32,734 INFO [asr_datamodule.py:259] (1/4) Num frame mask: 10
+2022-07-07 11:41:32,735 INFO [asr_datamodule.py:272] (1/4) About to create train dataset
+2022-07-07 11:41:32,735 INFO [asr_datamodule.py:301] (1/4) Using DynamicBucketingSampler.
+2022-07-07 11:41:36,167 INFO [asr_datamodule.py:316] (1/4) About to create train dataloader
+2022-07-07 11:41:36,168 INFO [asr_datamodule.py:408] (1/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:41:36,170 INFO [asr_datamodule.py:347] (1/4) About to create dev dataset
+2022-07-07 11:41:36,385 INFO [asr_datamodule.py:366] (1/4) About to create dev dataloader
+2022-07-07 11:41:55,766 INFO [train.py:1065] (1/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:41:56,228 INFO [train.py:1071] (1/4) features shape: torch.Size([84, 364, 80])
+2022-07-07 11:41:56,230 INFO [train.py:1075] (1/4) num tokens: 969

exp/log/log-train-2022-07-07-11-41-26-2 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:41:26,946 INFO [train.py:888] (2/4) Training started
+2022-07-07 11:41:26,947 INFO [train.py:898] (2/4) Device: cuda:2
+2022-07-07 11:41:27,589 INFO [lexicon.py:176] (2/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:41:27,679 INFO [train.py:909] (2/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:41:27,679 INFO [train.py:911] (2/4) About to create model
+2022-07-07 11:41:28,599 INFO [train.py:915] (2/4) Number of model parameters: 96910451
+2022-07-07 11:41:28,842 INFO [train.py:930] (2/4) Using DDP
+2022-07-07 11:41:29,459 INFO [asr_datamodule.py:401] (2/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:41:29,463 INFO [asr_datamodule.py:217] (2/4) Enable MUSAN
+2022-07-07 11:41:29,464 INFO [asr_datamodule.py:218] (2/4) About to get Musan cuts
+2022-07-07 11:41:32,323 INFO [asr_datamodule.py:246] (2/4) Enable SpecAugment
+2022-07-07 11:41:32,324 INFO [asr_datamodule.py:247] (2/4) Time warp factor: 80
+2022-07-07 11:41:32,324 INFO [asr_datamodule.py:259] (2/4) Num frame mask: 10
+2022-07-07 11:41:32,324 INFO [asr_datamodule.py:272] (2/4) About to create train dataset
+2022-07-07 11:41:32,325 INFO [asr_datamodule.py:301] (2/4) Using DynamicBucketingSampler.
+2022-07-07 11:41:35,632 INFO [asr_datamodule.py:316] (2/4) About to create train dataloader
+2022-07-07 11:41:35,633 INFO [asr_datamodule.py:408] (2/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:41:35,635 INFO [asr_datamodule.py:347] (2/4) About to create dev dataset
+2022-07-07 11:41:35,839 INFO [asr_datamodule.py:366] (2/4) About to create dev dataloader
+2022-07-07 11:41:55,752 INFO [train.py:1065] (2/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:41:56,053 INFO [train.py:1071] (2/4) features shape: torch.Size([53, 571, 80])
+2022-07-07 11:41:56,055 INFO [train.py:1075] (2/4) num tokens: 924

exp/log/log-train-2022-07-07-11-41-26-3 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:41:26,950 INFO [train.py:888] (3/4) Training started
+2022-07-07 11:41:26,951 INFO [train.py:898] (3/4) Device: cuda:3
+2022-07-07 11:41:27,626 INFO [lexicon.py:176] (3/4) Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:41:27,719 INFO [train.py:909] (3/4) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:41:27,720 INFO [train.py:911] (3/4) About to create model
+2022-07-07 11:41:28,743 INFO [train.py:915] (3/4) Number of model parameters: 96910451
+2022-07-07 11:41:29,247 INFO [train.py:930] (3/4) Using DDP
+2022-07-07 11:41:29,460 INFO [asr_datamodule.py:401] (3/4) About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:41:29,470 INFO [asr_datamodule.py:217] (3/4) Enable MUSAN
+2022-07-07 11:41:29,470 INFO [asr_datamodule.py:218] (3/4) About to get Musan cuts
+2022-07-07 11:41:32,571 INFO [asr_datamodule.py:246] (3/4) Enable SpecAugment
+2022-07-07 11:41:32,571 INFO [asr_datamodule.py:247] (3/4) Time warp factor: 80
+2022-07-07 11:41:32,572 INFO [asr_datamodule.py:259] (3/4) Num frame mask: 10
+2022-07-07 11:41:32,572 INFO [asr_datamodule.py:272] (3/4) About to create train dataset
+2022-07-07 11:41:32,573 INFO [asr_datamodule.py:301] (3/4) Using DynamicBucketingSampler.
+2022-07-07 11:41:35,948 INFO [asr_datamodule.py:316] (3/4) About to create train dataloader
+2022-07-07 11:41:35,950 INFO [asr_datamodule.py:408] (3/4) About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:41:35,952 INFO [asr_datamodule.py:347] (3/4) About to create dev dataset
+2022-07-07 11:41:36,157 INFO [asr_datamodule.py:366] (3/4) About to create dev dataloader
+2022-07-07 11:41:54,468 INFO [train.py:1065] (3/4) Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:41:54,649 INFO [train.py:1071] (3/4) features shape: torch.Size([43, 720, 80])
+2022-07-07 11:41:54,651 INFO [train.py:1075] (3/4) num tokens: 838

exp/log/log-train-2022-07-07-11-45-03 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:45:03,309 INFO [train.py:888] Training started
+2022-07-07 11:45:03,319 INFO [train.py:898] Device: cuda:0
+2022-07-07 11:45:04,027 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:45:04,124 INFO [train.py:909] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:45:04,125 INFO [train.py:911] About to create model
+2022-07-07 11:45:05,155 INFO [train.py:915] Number of model parameters: 96910451
+2022-07-07 11:45:05,939 INFO [train.py:930] Using DDP
+2022-07-07 11:45:06,063 INFO [asr_datamodule.py:401] About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:45:06,069 INFO [asr_datamodule.py:217] Enable MUSAN
+2022-07-07 11:45:06,069 INFO [asr_datamodule.py:218] About to get Musan cuts
+2022-07-07 11:45:09,360 INFO [asr_datamodule.py:246] Enable SpecAugment
+2022-07-07 11:45:09,360 INFO [asr_datamodule.py:247] Time warp factor: 80
+2022-07-07 11:45:09,361 INFO [asr_datamodule.py:259] Num frame mask: 10
+2022-07-07 11:45:09,361 INFO [asr_datamodule.py:272] About to create train dataset
+2022-07-07 11:45:09,361 INFO [asr_datamodule.py:301] Using DynamicBucketingSampler.
+2022-07-07 11:45:13,366 INFO [asr_datamodule.py:316] About to create train dataloader
+2022-07-07 11:45:13,367 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:45:13,369 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-07 11:45:13,571 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-07 11:45:33,148 INFO [train.py:1065] Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:45:33,305 INFO [train.py:1071] features shape: torch.Size([84, 364, 80])
+2022-07-07 11:45:33,307 INFO [train.py:1075] num tokens: 969

exp/log/log-train-2022-07-07-11-48-50 ADDED Viewed

	@@ -0,0 +1,22 @@

+2022-07-07 11:48:51,664 INFO [train.py:889] Training started
+2022-07-07 11:48:51,665 INFO [train.py:899] Device: cuda:2
+2022-07-07 11:48:52,322 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-07 11:48:52,425 INFO [train.py:910] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.16', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '72f7b1eb622a3740bf88b99fa89c8c02d10790d0', 'k2-git-date': 'Tue Jun 21 10:53:49 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.7.1+cu110', 'torch-cuda-available': True, 'torch-cuda-version': '11.0', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/local/lib/python3.8/dist-packages/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'world_size': 4, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('/result'), 'lang_dir': 'data/lang_char', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': False, 'num_encoder_layers': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 300, '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', 'blank_id': 0, 'vocab_size': 5237}
+2022-07-07 11:48:52,426 INFO [train.py:912] About to create model
+2022-07-07 11:48:53,434 INFO [train.py:916] Number of model parameters: 96910451
+2022-07-07 11:48:53,893 INFO [train.py:931] Using DDP
+2022-07-07 11:48:54,024 INFO [asr_datamodule.py:401] About to gen cuts from aishell2_cuts_train.jsonl.gz
+2022-07-07 11:48:54,029 INFO [asr_datamodule.py:217] Enable MUSAN
+2022-07-07 11:48:54,030 INFO [asr_datamodule.py:218] About to get Musan cuts
+2022-07-07 11:48:57,443 INFO [asr_datamodule.py:246] Enable SpecAugment
+2022-07-07 11:48:57,443 INFO [asr_datamodule.py:247] Time warp factor: 80
+2022-07-07 11:48:57,444 INFO [asr_datamodule.py:259] Num frame mask: 10
+2022-07-07 11:48:57,444 INFO [asr_datamodule.py:272] About to create train dataset
+2022-07-07 11:48:57,444 INFO [asr_datamodule.py:301] Using DynamicBucketingSampler.
+2022-07-07 11:49:00,894 INFO [asr_datamodule.py:316] About to create train dataloader
+2022-07-07 11:49:00,895 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-07 11:49:00,898 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-07 11:49:01,110 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-07 11:49:20,470 INFO [train.py:1066] Saving batch to /result/batch-bdd640fb-0667-1ad1-1c80-317fa3b1799d.pt
+2022-07-07 11:49:21,307 INFO [train.py:1072] features shape: torch.Size([84, 364, 80])
+2022-07-07 11:49:21,309 INFO [train.py:1076] num tokens: 969

exp/log/log-train-2022-07-07-12-52-29 ADDED Viewed

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exp/modified_beam_search/errs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt ADDED Viewed

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exp/modified_beam_search/errs-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt ADDED Viewed

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exp/modified_beam_search/log-decode-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model-2022-07-11-13-30-15 ADDED Viewed

	@@ -0,0 +1,6 @@

+2022-07-11 13:30:15,310 INFO [decode.py:536] Decoding started
+2022-07-11 13:30:15,310 INFO [decode.py:542] Device: cuda:0
+2022-07-11 13:30:15,930 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-11 13:30:16,008 INFO [decode.py:550] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f910452c594ac57b9a6117ad9b353555f95d45d8', 'k2-git-date': 'Mon Jul 4 14:26:28 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/lib/python3.8/site-packages/k2-1.17.dev20220707+cuda11.3.torch1.11.0-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'epoch': 25, 'iter': 0, 'avg': 5, 'use_averaged_model': True, 'exp_dir': PosixPath('/result'), 'lang_dir': PosixPath('data/lang_char'), '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': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, '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('/result/modified_beam_search'), 'suffix': 'epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 5237}
+2022-07-11 13:30:16,009 INFO [decode.py:552] About to create model
+2022-07-11 13:30:16,739 INFO [decode.py:619] Calculating the averaged model over epoch range from 20 (excluded) to 25

exp/modified_beam_search/log-decode-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model-2022-07-11-13-31-34 ADDED Viewed

	@@ -0,0 +1,29 @@

+2022-07-11 13:31:34,495 INFO [decode.py:536] Decoding started
+2022-07-11 13:31:34,495 INFO [decode.py:542] Device: cuda:0
+2022-07-11 13:31:35,105 INFO [lexicon.py:176] Loading pre-compiled data/lang_char/Linv.pt
+2022-07-11 13:31:35,184 INFO [decode.py:550] {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.17', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f910452c594ac57b9a6117ad9b353555f95d45d8', 'k2-git-date': 'Mon Jul 4 14:26:28 2022', 'lhotse-version': '1.4.0.dev+git.94e9ed9.clean', 'torch-version': '1.11.0+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'aishell2', 'icefall-git-sha1': 'e7a2dec-dirty', 'icefall-git-date': 'Thu Jul 7 07:00:24 2022', 'icefall-path': '/workspace/icefall_aishell2', 'k2-path': '/usr/lib/python3.8/site-packages/k2-1.17.dev20220707+cuda11.3.torch1.11.0-py3.8-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/usr/local/lib/python3.8/dist-packages/lhotse/__init__.py', 'hostname': '3102877', 'IP address': '0.47.88.157'}, 'epoch': 25, 'iter': 0, 'avg': 5, 'use_averaged_model': True, 'exp_dir': PosixPath('/result'), 'lang_dir': PosixPath('data/lang_char'), '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': 24, 'dim_feedforward': 1536, 'nhead': 8, 'encoder_dim': 384, 'decoder_dim': 512, 'joiner_dim': 512, '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('/result/modified_beam_search'), 'suffix': 'epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 5237}
+2022-07-11 13:31:35,185 INFO [decode.py:552] About to create model
+2022-07-11 13:31:35,923 INFO [decode.py:619] Calculating the averaged model over epoch range from 20 (excluded) to 25
+2022-07-11 13:31:48,367 INFO [decode.py:643] Number of model parameters: 96910451
+2022-07-11 13:31:48,367 INFO [asr_datamodule.py:408] About to gen cuts from aishell2_cuts_dev.jsonl.gz
+2022-07-11 13:31:48,372 INFO [asr_datamodule.py:415] About to gen cuts from aishell2_cuts_test.jsonl.gz
+2022-07-11 13:31:48,373 INFO [asr_datamodule.py:347] About to create dev dataset
+2022-07-11 13:31:48,579 INFO [asr_datamodule.py:366] About to create dev dataloader
+2022-07-11 13:31:56,204 INFO [decode.py:443] batch 0/?, cuts processed until now is 171
+2022-07-11 13:33:03,303 INFO [decode.py:460] The transcripts are stored in /result/modified_beam_search/recogs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt
+2022-07-11 13:33:03,361 INFO [utils.py:420] [dev-beam_size_4] %WER 5.38% [1334 / 24802, 51 ins, 58 del, 1225 sub ]
+2022-07-11 13:33:03,519 INFO [decode.py:473] Wrote detailed error stats to /result/modified_beam_search/errs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt
+2022-07-11 13:33:03,520 INFO [decode.py:490]
+For dev, WER of different settings are:
+beam_size_4	5.38	best for dev
+2022-07-11 13:33:10,945 INFO [decode.py:443] batch 0/?, cuts processed until now is 176
+2022-07-11 13:35:08,655 INFO [decode.py:443] batch 20/?, cuts processed until now is 4238
+2022-07-11 13:35:31,358 INFO [decode.py:460] The transcripts are stored in /result/modified_beam_search/recogs-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt
+2022-07-11 13:35:31,472 INFO [utils.py:420] [test-beam_size_4] %WER 5.61% [2779 / 49534, 99 ins, 98 del, 2582 sub ]
+2022-07-11 13:35:31,777 INFO [decode.py:473] Wrote detailed error stats to /result/modified_beam_search/errs-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt
+2022-07-11 13:35:31,779 INFO [decode.py:490]
+For test, WER of different settings are:
+beam_size_4	5.61	best for test
+2022-07-11 13:35:31,779 INFO [decode.py:672] Done!

exp/modified_beam_search/recogs-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt ADDED Viewed

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exp/modified_beam_search/wer-summary-dev-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ beam_size_4 5.38

exp/modified_beam_search/wer-summary-test-beam_size_4-epoch-25-avg-5-modified_beam_search-beam-size-4-use-averaged-model.txt ADDED Viewed

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


1	+ settings WER
2	+ beam_size_4 5.61

exp/pretrained.pt ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
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+size 388028520