update model

README.md

@@ -1,3 +1,7 @@
 ---
 license: apache-2.0
 ---
+Introduction
+This repo contains pre-trained models, checkpoints, training logs and decoding results of the following pull-request:
+
+https://github.com/k2-fsa/icefall/pull/730

data/lang_bpe_500/HLG.pt

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data/lang_bpe_500/L.pt

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data/lang_bpe_500/LG.pt

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data/lang_bpe_500/Linv.pt

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data/lang_bpe_500/bpe.model

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data/lm/G_4_gram.pt

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decoding-results/greedy_search/log-decode-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model-2023-01-29-14-48-00

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+2023-01-29 14:48:00,161 INFO [ctc_guild_decode_bs.py:698] Decoding started
+2023-01-29 14:48:00,161 INFO [ctc_guild_decode_bs.py:704] Device: cuda:0
+2023-01-29 14:48:00,165 INFO [ctc_guild_decode_bs.py:719] {'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, 'beam_size': 4, 'use_double_scores': True, 'warm_step': 2000, 'env_info': {'k2-version': '1.23.3', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '02376766cbfc95fe67743e42c053d1ccca20009d', 'k2-git-date': 'Wed Jan 11 20:50:20 2023', 'lhotse-version': '1.11.0', 'torch-version': '1.13.1', 'torch-cuda-available': True, 'torch-cuda-version': '11.6', 'python-version': '3.1', 'icefall-git-branch': 'master', 'icefall-git-sha1': '958dbb3-dirty', 'icefall-git-date': 'Wed Jan 11 20:29:36 2023', 'icefall-path': '/k2-dev/yangyifan/icefall', 'k2-path': '/k2-dev/yangyifan/anaconda3/envs/icefall/lib/python3.10/site-packages/k2-1.23.3.dev20230112+cuda11.6.torch1.13.1-py3.10-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/k2-dev/yangyifan/anaconda3/envs/icefall/lib/python3.10/site-packages/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-1220120619-7695ff496b-s9n4w', 'IP address': '10.177.6.147'}, 'epoch': 30, 'iter': 0, 'avg': 13, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless7_ctc_bs/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'greedy_search', '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, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': '2,4,3,2,4', 'feedforward_dims': '1024,1024,2048,2048,1024', 'nhead': '8,8,8,8,8', 'encoder_dims': '384,384,384,384,384', 'attention_dims': '192,192,192,192,192', 'encoder_unmasked_dims': '256,256,256,256,256', 'zipformer_downsampling_factors': '1,2,4,8,2', 'cnn_module_kernels': '31,31,31,31,31', 'decoder_dim': 512, 'joiner_dim': 512, 'full_libri': True, '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('pruned_transducer_stateless7_ctc_bs/exp/greedy_search'), 'suffix': 'epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-01-29 14:48:00,165 INFO [ctc_guild_decode_bs.py:721] About to create model
+2023-01-29 14:48:00,718 INFO [zipformer.py:178] At encoder stack 4, which has downsampling_factor=2, we will combine the outputs of layers 1 and 3, with downsampling_factors=2 and 8.
+2023-01-29 14:48:00,738 INFO [ctc_guild_decode_bs.py:788] Calculating the averaged model over epoch range from 17 (excluded) to 30
+2023-01-29 14:48:05,452 INFO [ctc_guild_decode_bs.py:822] Number of model parameters: 71159011
+2023-01-29 14:48:05,453 INFO [asr_datamodule.py:443] About to get test-clean cuts
+2023-01-29 14:48:05,456 INFO [asr_datamodule.py:450] About to get test-other cuts
+2023-01-29 14:48:08,694 INFO [ctc_guild_decode_bs.py:601] batch 0/?, cuts processed until now is 44
+2023-01-29 14:48:34,150 INFO [ctc_guild_decode_bs.py:617] The transcripts are stored in pruned_transducer_stateless7_ctc_bs/exp/greedy_search/recogs-test-clean-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-01-29 14:48:34,236 INFO [utils.py:536] [test-clean-greedy_search] %WER 2.28% [1201 / 52576, 142 ins, 103 del, 956 sub ]
+2023-01-29 14:48:34,421 INFO [ctc_guild_decode_bs.py:630] Wrote detailed error stats to pruned_transducer_stateless7_ctc_bs/exp/greedy_search/errs-test-clean-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-01-29 14:48:34,421 INFO [ctc_guild_decode_bs.py:646] 
+For test-clean, WER of different settings are:
+greedy_search	2.28	best for test-clean
+
+2023-01-29 14:48:35,501 INFO [ctc_guild_decode_bs.py:601] batch 0/?, cuts processed until now is 52
+2023-01-29 14:49:00,110 INFO [ctc_guild_decode_bs.py:617] The transcripts are stored in pruned_transducer_stateless7_ctc_bs/exp/greedy_search/recogs-test-other-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-01-29 14:49:00,198 INFO [utils.py:536] [test-other-greedy_search] %WER 5.53% [2897 / 52343, 273 ins, 270 del, 2354 sub ]
+2023-01-29 14:49:00,387 INFO [ctc_guild_decode_bs.py:630] Wrote detailed error stats to pruned_transducer_stateless7_ctc_bs/exp/greedy_search/errs-test-other-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt
+2023-01-29 14:49:00,388 INFO [ctc_guild_decode_bs.py:646] 
+For test-other, WER of different settings are:
+greedy_search	5.53	best for test-other
+
+2023-01-29 14:49:00,388 INFO [ctc_guild_decode_bs.py:853] Done!

decoding-results/greedy_search/wer-summary-test-clean-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt

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+settings	WER
+greedy_search	2.28

decoding-results/greedy_search/wer-summary-test-other-greedy_search-epoch-30-avg-13-context-2-max-sym-per-frame-1-use-averaged-model.txt

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+settings	WER
+greedy_search	5.53

decoding-results/modified_beam_search/log-decode-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model-2023-01-29-14-45-39

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+2023-01-29 14:45:39,151 INFO [ctc_guild_decode_bs.py:698] Decoding started
+2023-01-29 14:45:39,151 INFO [ctc_guild_decode_bs.py:704] Device: cuda:0
+2023-01-29 14:45:39,153 INFO [ctc_guild_decode_bs.py:719] {'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, 'beam_size': 4, 'use_double_scores': True, 'warm_step': 2000, 'env_info': {'k2-version': '1.23.3', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '02376766cbfc95fe67743e42c053d1ccca20009d', 'k2-git-date': 'Wed Jan 11 20:50:20 2023', 'lhotse-version': '1.11.0', 'torch-version': '1.13.1', 'torch-cuda-available': True, 'torch-cuda-version': '11.6', 'python-version': '3.1', 'icefall-git-branch': 'master', 'icefall-git-sha1': '958dbb3-dirty', 'icefall-git-date': 'Wed Jan 11 20:29:36 2023', 'icefall-path': '/k2-dev/yangyifan/icefall', 'k2-path': '/k2-dev/yangyifan/anaconda3/envs/icefall/lib/python3.10/site-packages/k2-1.23.3.dev20230112+cuda11.6.torch1.13.1-py3.10-linux-x86_64.egg/k2/__init__.py', 'lhotse-path': '/k2-dev/yangyifan/anaconda3/envs/icefall/lib/python3.10/site-packages/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-3-1220120619-7695ff496b-s9n4w', 'IP address': '10.177.6.147'}, 'epoch': 30, 'iter': 0, 'avg': 13, 'use_averaged_model': True, 'exp_dir': PosixPath('pruned_transducer_stateless7_ctc_bs/exp'), 'bpe_model': 'data/lang_bpe_500/bpe.model', 'lang_dir': PosixPath('data/lang_bpe_500'), 'decoding_method': 'modified_beam_search', '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, 'simulate_streaming': False, 'decode_chunk_size': 16, 'left_context': 64, 'num_encoder_layers': '2,4,3,2,4', 'feedforward_dims': '1024,1024,2048,2048,1024', 'nhead': '8,8,8,8,8', 'encoder_dims': '384,384,384,384,384', 'attention_dims': '192,192,192,192,192', 'encoder_unmasked_dims': '256,256,256,256,256', 'zipformer_downsampling_factors': '1,2,4,8,2', 'cnn_module_kernels': '31,31,31,31,31', 'decoder_dim': 512, 'joiner_dim': 512, 'full_libri': True, '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('pruned_transducer_stateless7_ctc_bs/exp/modified_beam_search'), 'suffix': 'epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model', 'blank_id': 0, 'unk_id': 2, 'vocab_size': 500}
+2023-01-29 14:45:39,154 INFO [ctc_guild_decode_bs.py:721] About to create model
+2023-01-29 14:45:39,711 INFO [zipformer.py:178] At encoder stack 4, which has downsampling_factor=2, we will combine the outputs of layers 1 and 3, with downsampling_factors=2 and 8.
+2023-01-29 14:45:39,733 INFO [ctc_guild_decode_bs.py:788] Calculating the averaged model over epoch range from 17 (excluded) to 30
+2023-01-29 14:45:44,389 INFO [ctc_guild_decode_bs.py:822] Number of model parameters: 71159011
+2023-01-29 14:45:44,389 INFO [asr_datamodule.py:443] About to get test-clean cuts
+2023-01-29 14:45:44,391 INFO [asr_datamodule.py:450] About to get test-other cuts
+2023-01-29 14:45:48,460 INFO [ctc_guild_decode_bs.py:601] batch 0/?, cuts processed until now is 44
+2023-01-29 14:46:16,327 INFO [ctc_guild_decode_bs.py:601] batch 20/?, cuts processed until now is 1434
+2023-01-29 14:46:39,608 INFO [zipformer.py:1447] attn_weights_entropy = tensor([5.7404, 5.4784, 5.4339, 5.2754, 5.6981, 5.2530, 5.2663, 5.1951],
+       device='cuda:0'), covar=tensor([0.0472, 0.0912, 0.0856, 0.1453, 0.0806, 0.1396, 0.1321, 0.2319],
+       device='cuda:0'), in_proj_covar=tensor([0.0411, 0.0389, 0.0416, 0.0405, 0.0532, 0.0405, 0.0361, 0.0505],
+       device='cuda:0'), out_proj_covar=tensor([0.0003, 0.0003, 0.0003, 0.0003, 0.0004, 0.0003, 0.0003, 0.0003],
+       device='cuda:0')
+2023-01-29 14:46:40,606 INFO [ctc_guild_decode_bs.py:601] batch 40/?, cuts processed until now is 2574
+2023-01-29 14:46:41,613 INFO [ctc_guild_decode_bs.py:617] The transcripts are stored in pruned_transducer_stateless7_ctc_bs/exp/modified_beam_search/recogs-test-clean-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-01-29 14:46:41,699 INFO [utils.py:536] [test-clean-beam_size_4] %WER 2.26% [1189 / 52576, 145 ins, 95 del, 949 sub ]
+2023-01-29 14:46:41,946 INFO [ctc_guild_decode_bs.py:630] Wrote detailed error stats to pruned_transducer_stateless7_ctc_bs/exp/modified_beam_search/errs-test-clean-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-01-29 14:46:41,947 INFO [ctc_guild_decode_bs.py:646] 
+For test-clean, WER of different settings are:
+beam_size_4	2.26	best for test-clean
+
+2023-01-29 14:46:43,828 INFO [ctc_guild_decode_bs.py:601] batch 0/?, cuts processed until now is 52
+2023-01-29 14:47:10,400 INFO [ctc_guild_decode_bs.py:601] batch 20/?, cuts processed until now is 1648
+2023-01-29 14:47:33,451 INFO [ctc_guild_decode_bs.py:601] batch 40/?, cuts processed until now is 2871
+2023-01-29 14:47:34,385 INFO [ctc_guild_decode_bs.py:617] The transcripts are stored in pruned_transducer_stateless7_ctc_bs/exp/modified_beam_search/recogs-test-other-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-01-29 14:47:34,475 INFO [utils.py:536] [test-other-beam_size_4] %WER 5.44% [2849 / 52343, 275 ins, 255 del, 2319 sub ]
+2023-01-29 14:47:34,670 INFO [ctc_guild_decode_bs.py:630] Wrote detailed error stats to pruned_transducer_stateless7_ctc_bs/exp/modified_beam_search/errs-test-other-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt
+2023-01-29 14:47:34,670 INFO [ctc_guild_decode_bs.py:646] 
+For test-other, WER of different settings are:
+beam_size_4	5.44	best for test-other
+
+2023-01-29 14:47:34,670 INFO [ctc_guild_decode_bs.py:853] Done!

decoding-results/modified_beam_search/wer-summary-test-clean-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	2.26

decoding-results/modified_beam_search/wer-summary-test-other-beam_size_4-epoch-30-avg-13-modified_beam_search-beam-size-4-use-averaged-model.txt

@@ -0,0 +1,2 @@
+settings	WER
+beam_size_4	5.44

exp/cpu_jit.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:927f61452e6e4a6672195067d629fdd5113218cd1ce4ccaade6575f0efae7325
+size 361701916

exp/decode.sh

@@ -0,0 +1,31 @@
+#!/usr/bin/env bash
+
+export CUDA_VISIBLE_DEVICES=
+
+# greedy search
+./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py \
+    --epoch 30 \
+    --avg 13 \
+    --exp-dir ./pruned_transducer_stateless7_ctc_bs/exp \
+    --max-duration 600 \
+    --decoding-method greedy_search
+
+# modified beam search
+./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py \
+    --epoch 30 \
+    --avg 13 \
+    --exp-dir ./pruned_transducer_stateless7_ctc_bs/exp \
+    --max-duration 600 \
+    --decoding-method modified_beam_search \
+    --beam-size 4
+
+# fast beam search (one best)
+./pruned_transducer_stateless7_ctc_bs/ctc_guild_decode_bs.py \
+    --epoch 30 \
+    --avg 13 \
+    --exp-dir ./pruned_transducer_stateless7_ctc_bs/exp \
+    --max-duration 600 \
+    --decoding-method fast_beam_search \
+    --beam 20.0 \
+    --max-contexts 8 \
+    --max-states 64

exp/epoch-30.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f77623fa2f595de57ea6a78a32137e7d0a750459b971408d357829b91172645d
+size 1229620507

exp/export.sh

@@ -0,0 +1,10 @@
+#!/usr/bin/env bash
+
+export CUDA_VISIBLE_DEVICES=
+
+./pruned_transducer_stateless7_ctc_bs/export.py \
+  --exp-dir ./pruned_transducer_stateless7_ctc_bs/exp \
+  --bpe-model data/lang_bpe_500/bpe.model \
+  --epoch 30 \
+  --avg 13 \
+  --jit 1

exp/pretrained.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d840bee13f25b5d6a06297ef20ef7d531b61cef252d64dca69c4053cb60d18a6
+size 284930683

exp/run.sh

@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+
+export CUDA_VISIBLE_DEVICES="0,1,2,3"
+
+./pruned_transducer_stateless7_ctc_bs/train.py \
+  --world-size 4 \
+  --num-epochs 30 \
+  --start-epoch 1 \
+  --exp-dir pruned_transducer_stateless7_ctc_bs/exp \
+  --full-libri 1 \
+  --max-duration 300

exp/tensorboard/events.out.tfevents.1673516168.d3-hpc-sjtu-test-004.213550.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b27793d92516dcc918c8f08ec4aeb52c8c375f9e9aacaebaf178b1a207a901c8
+size 483677

test_wavs/trans.txt

@@ -0,0 +1,3 @@
+1089-134686-0001 AFTER EARLY NIGHTFALL THE YELLOW LAMPS WOULD LIGHT UP HERE AND THERE THE SQUALID QUARTER OF THE BROTHELS
+1221-135766-0001 GOD AS A DIRECT CONSEQUENCE OF THE SIN WHICH MAN THUS PUNISHED HAD GIVEN HER A LOVELY CHILD WHOSE PLACE WAS ON THAT SAME DISHONOURED BOSOM TO CONNECT HER PARENT FOR EVER WITH THE RACE AND DESCENT OF MORTALS AND TO BE FINALLY A BLESSED SOUL IN HEAVEN
+1221-135766-0002 YET THESE THOUGHTS AFFECTED HESTER PRYNNE LESS WITH HOPE THAN APPREHENSION