/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-10-04 02:51:56 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_25hz_2nd_iter {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_2nd_iter
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


overall:   0%|          | 0/4000 [00:00<?, ?it/s][LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


word -> phonemes:   0%|          | 0/3515 [00:00<?, ?it/s]

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word -> phonemes:  25%|██▌       | 891/3515 [00:00<00:01, 2052.61it/s]

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word -> phonemes:  69%|██████▉   | 2431/3515 [00:01<00:00, 1841.92it/s]

word -> phonemes:  76%|███████▌  | 2672/3515 [00:01<00:00, 1994.70it/s]

word -> phonemes:  82%|████████▏ | 2879/3515 [00:01<00:00, 1922.03it/s]

word -> phonemes:  88%|████████▊ | 3085/3515 [00:01<00:00, 1958.49it/s]

word -> phonemes:  95%|█████████▍| 3325/3515 [00:01<00:00, 2081.67it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2034.30it/s]


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train:   4%|▍         | 155/3515 [00:32<11:43,  4.77it/s]
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train:   5%|▍         | 159/3515 [00:33<11:15,  4.97it/s]
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train:   5%|▍         | 160/3515 [00:33<11:27,  4.88it/s]
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train:   5%|▍         | 161/3515 [00:33<11:24,  4.90it/s]
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train:   5%|▌         | 180/3515 [00:37<12:04,  4.60it/s]
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train:   5%|▌         | 181/3515 [00:38<12:22,  4.49it/s]
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train:   5%|▌         | 182/3515 [00:38<11:56,  4.65it/s]
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train:   5%|▌         | 183/3515 [00:38<11:49,  4.69it/s]
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train:   5%|▌         | 184/3515 [00:38<10:23,  5.34it/s]
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train:   5%|▌         | 185/3515 [00:38<10:27,  5.30it/s]
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overall:  12%|█▏        | 499/4000 [01:47<12:00,  4.86it/s]

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overall:  13%|█▎        | 501/4000 [01:48<12:18,  4.74it/s]

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overall:  13%|█▎        | 502/4000 [01:48<11:55,  4.89it/s]

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overall:  13%|█▎        | 503/4000 [01:48<11:55,  4.89it/s]

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overall:  13%|█▎        | 506/4000 [01:48<10:35,  5.50it/s]

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overall:  13%|█▎        | 507/4000 [01:49<11:03,  5.26it/s]

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overall:  13%|█▎        | 511/4000 [01:49<11:03,  5.26it/s]

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overall:  13%|█▎        | 513/4000 [01:50<17:22,  3.35it/s]

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overall:  13%|█▎        | 516/4000 [01:51<13:38,  4.26it/s]

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overall:  13%|█▎        | 518/4000 [01:51<11:55,  4.86it/s]

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overall:  13%|█▎        | 519/4000 [01:51<11:54,  4.87it/s]

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overall:  13%|█▎        | 520/4000 [01:52<12:09,  4.77it/s]

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overall:  13%|█▎        | 521/4000 [01:52<12:16,  4.73it/s]

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overall:  13%|█▎        | 522/4000 [01:52<12:11,  4.76it/s]

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overall:  13%|█▎        | 524/4000 [01:52<11:28,  5.05it/s]

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overall:  13%|█▎        | 525/4000 [01:53<11:33,  5.01it/s]

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overall:  13%|█▎        | 526/4000 [01:53<11:51,  4.88it/s]

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overall:  13%|█▎        | 527/4000 [01:53<11:42,  4.94it/s]

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overall:  13%|█▎        | 528/4000 [01:53<11:35,  4.99it/s]

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overall:  13%|█▎        | 529/4000 [01:53<11:33,  5.01it/s]

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overall:  13%|█▎        | 530/4000 [01:54<11:40,  4.96it/s]

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overall:  13%|█▎        | 531/4000 [01:54<11:38,  4.96it/s]

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overall:  13%|█▎        | 532/4000 [01:54<11:47,  4.90it/s]

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overall:  13%|█▎        | 533/4000 [01:54<11:39,  4.95it/s]

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overall:  13%|█▎        | 534/4000 [01:54<10:18,  5.60it/s]

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overall:  13%|█▎        | 535/4000 [01:54<10:39,  5.42it/s]

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overall:  13%|█▎        | 536/4000 [01:55<10:19,  5.59it/s]

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overall:  13%|█▎        | 537/4000 [01:55<17:33,  3.29it/s]

train:  15%|█▌        | 537/3515 [01:52<15:06,  3.29it/s]
overall:  13%|█▎        | 538/4000 [01:55<14:26,  4.00it/s]

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overall:  13%|█▎        | 539/4000 [01:56<13:42,  4.21it/s]

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overall:  14%|█▎        | 540/4000 [01:56<13:12,  4.37it/s]

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overall:  14%|█▎        | 541/4000 [01:56<12:45,  4.52it/s]

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overall:  14%|█▎        | 542/4000 [01:56<12:41,  4.54it/s]

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overall:  14%|█▎        | 543/4000 [01:56<12:16,  4.69it/s]

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overall:  14%|█▎        | 544/4000 [01:57<12:24,  4.64it/s]

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overall:  14%|█▎        | 545/4000 [01:57<12:19,  4.67it/s]

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overall:  14%|█▎        | 546/4000 [01:57<12:20,  4.66it/s]

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overall:  14%|█▎        | 547/4000 [01:57<11:54,  4.83it/s]

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overall:  14%|█▎        | 548/4000 [01:57<11:47,  4.88it/s]

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overall:  14%|█▎        | 549/4000 [01:58<11:46,  4.88it/s]

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overall:  14%|█▍        | 550/4000 [01:58<11:30,  5.00it/s]

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overall:  14%|█▍        | 551/4000 [01:58<11:47,  4.88it/s]

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overall:  14%|█▍        | 552/4000 [01:58<11:50,  4.85it/s]

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overall:  14%|█▍        | 553/4000 [01:58<11:50,  4.85it/s]

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overall:  14%|█▍        | 554/4000 [01:59<12:01,  4.78it/s]

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overall:  14%|█▍        | 555/4000 [01:59<12:02,  4.77it/s]

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overall:  14%|█▍        | 556/4000 [01:59<12:03,  4.76it/s]

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overall:  14%|█▍        | 557/4000 [01:59<11:13,  5.11it/s]

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overall:  14%|█▍        | 558/4000 [01:59<11:25,  5.02it/s]

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overall:  14%|█▍        | 559/4000 [02:00<11:12,  5.12it/s]

train:  16%|█▌        | 559/3515 [01:57<09:37,  5.12it/s]
overall:  14%|█▍        | 560/4000 [02:00<11:29,  4.99it/s]

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overall:  14%|█▍        | 561/4000 [02:00<18:06,  3.16it/s]

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overall:  14%|█▍        | 562/4000 [02:01<16:08,  3.55it/s]

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overall:  14%|█▍        | 563/4000 [02:01<14:47,  3.87it/s]

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overall:  14%|█▍        | 564/4000 [02:01<13:42,  4.18it/s]

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overall:  14%|█▍        | 565/4000 [02:01<13:06,  4.37it/s]

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overall:  14%|█▍        | 566/4000 [02:01<12:46,  4.48it/s]

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overall:  14%|█▍        | 567/4000 [02:02<11:08,  5.14it/s]

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overall:  14%|█▍        | 568/4000 [02:02<11:23,  5.02it/s]

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overall:  14%|█▍        | 569/4000 [02:02<11:32,  4.95it/s]

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overall:  14%|█▍        | 571/4000 [02:02<08:54,  6.41it/s]

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overall:  14%|█▍        | 572/4000 [02:02<09:39,  5.92it/s]

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overall:  14%|█▍        | 573/4000 [02:03<09:59,  5.72it/s]

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overall:  14%|█▍        | 574/4000 [02:03<10:20,  5.52it/s]

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overall:  14%|█▍        | 575/4000 [02:03<09:38,  5.92it/s]

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overall:  14%|█▍        | 576/4000 [02:03<10:18,  5.54it/s]

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overall:  14%|█▍        | 577/4000 [02:03<09:09,  6.23it/s]

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overall:  14%|█▍        | 578/4000 [02:03<09:53,  5.76it/s]

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overall:  14%|█▍        | 580/4000 [02:04<10:40,  5.34it/s]

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overall:  15%|█▍        | 588/4000 [02:06<13:26,  4.23it/s]

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train:  28%|██▊       | 987/3515 [03:26<09:52,  4.27it/s]
overall:  25%|██▍       | 988/4000 [03:29<11:20,  4.42it/s]

train:  28%|██▊       | 988/3515 [03:26<09:31,  4.42it/s]
overall:  25%|██▍       | 989/4000 [03:29<10:44,  4.67it/s]

train:  28%|██▊       | 989/3515 [03:26<09:00,  4.67it/s]
overall:  25%|██▍       | 990/4000 [03:29<10:19,  4.86it/s]

train:  28%|██▊       | 990/3515 [03:26<08:39,  4.86it/s]
overall:  25%|██▍       | 991/4000 [03:29<10:22,  4.84it/s]

train:  28%|██▊       | 991/3515 [03:26<08:41,  4.84it/s]
overall:  25%|██▍       | 992/4000 [03:30<10:14,  4.89it/s]

train:  28%|██▊       | 992/3515 [03:27<08:35,  4.89it/s]
overall:  25%|██▍       | 993/4000 [03:30<12:02,  4.16it/s]

train:  28%|██▊       | 993/3515 [03:27<10:05,  4.16it/s]
overall:  25%|██▍       | 994/4000 [03:30<11:21,  4.41it/s]

train:  28%|██▊       | 994/3515 [03:27<09:31,  4.41it/s]
overall:  25%|██▍       | 995/4000 [03:30<11:03,  4.53it/s]

train:  28%|██▊       | 995/3515 [03:27<09:16,  4.53it/s]
overall:  25%|██▍       | 996/4000 [03:31<10:15,  4.88it/s]

train:  28%|██▊       | 996/3515 [03:27<08:36,  4.88it/s]
overall:  25%|██▍       | 997/4000 [03:31<10:20,  4.84it/s]

train:  28%|██▊       | 997/3515 [03:28<08:40,  4.84it/s]
overall:  25%|██▍       | 998/4000 [03:31<10:24,  4.81it/s]

train:  28%|██▊       | 998/3515 [03:28<08:43,  4.81it/s]
overall:  25%|██▍       | 999/4000 [03:31<10:05,  4.96it/s]

train:  28%|██▊       | 999/3515 [03:28<08:27,  4.96it/s]train loss: 4.0200886726379395
train per: 0.8978864750475476
train loss: 3.0776753425598145
train per: 0.7580880284391703
train loss: 2.6125054359436035
train per: 0.6855644679801677
train loss: 2.5155723094940186
train per: 0.6616414983829484
train loss: 2.4765546321868896
train per: 0.6537354320471747
train loss: 2.4321155548095703
train per: 0.6524334498521108
train loss: 2.362700939178467
train per: 0.6342570006829935
train loss: 2.4255330562591553
train per: 0.6396832146274051
train loss: 2.3364081382751465
train per: 0.626782151720111
train loss: 2.322906732559204
train per: 0.624856124965744
train loss: 2.3165111541748047
train per: 0.6324214738948422
train loss: 2.3576433658599854
train per: 0.6290010900802695
train loss: 2.3793864250183105
train per: 0.6359076995526254
train loss: 2.335580825805664
train per: 0.6203892410024412
train loss: 2.278177261352539
train per: 0.6130536130536131
train loss: 2.307659864425659
train per: 0.6207771056305258
train loss: 2.274519681930542
train per: 0.6181915544675642
train loss: 2.282606840133667
train per: 0.6188092508179759
train loss: 2.305896520614624
train per: 0.6176008814212919
train loss: 2.2660675048828125
train per: 0.6142943457026333
train loss: 2.250598907470703
train per: 0.6081777602406965
train loss: 2.2942721843719482
train per: 0.6182224566161882
train loss: 2.30049467086792
train per: 0.6108744345381879
train loss: 2.295726776123047
train per: 0.6146991713702414
train loss: 2.270364761352539
train per: 0.6083641713852601
train loss: 2.23179292678833
train per: 0.6057069076823757
train loss: 2.273735284805298
train per: 0.6085617113564669
train loss: 2.2473297119140625
train per: 0.6068165766750963
train loss: 2.245192527770996
train per: 0.6032364320819826
train loss: 2.251460075378418
train per: 0.6082697291770692
train loss: 2.2814273834228516
train per: 0.6126281912721858
train loss: 2.227750778198242
train per: 0.6030960662323029
train loss: 2.2626681327819824
train per: 0.6090179681319923
train loss: 2.246412754058838
train per: 0.60755677979315
train loss: 2.2446982860565186
train per: 0.607970342910102
train loss: 2.2401282787323
train per: 0.6131766631591254
train loss: 2.3035507202148438
train per: 0.6110094755605592
train loss: 2.2888622283935547
train per: 0.6116654615570016
train loss: 2.252967357635498
train per: 0.6046591635130486
train loss: 2.265953779220581
train per: 0.6073672654224381
train loss: 2.2426905632019043
train per: 0.6082605242255759
train loss: 2.2426819801330566
train per: 0.6076519744388006
train loss: 2.25455641746521
train per: 0.6030532392559332
train loss: 2.2728731632232666
train per: 0.610040170789015
train loss: 2.2329318523406982
train per: 0.5972499053866532
train loss: 2.230672597885132
train per: 0.6016003657978967
train loss: 2.2578399181365967
train per: 0.608453981385729
train loss: 2.249690294265747
train per: 0.6069490564509598
train loss: 2.2332727909088135
train per: 0.6018266116819273
train loss: 2.205446243286133
train per: 0.5953998567087482
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



word -> phonemes:   0%|          | 0/2703 [00:00<?, ?it/s]


word -> phonemes:   9%|▊         | 235/2703 [00:00<00:01, 2347.18it/s]


word -> phonemes:  17%|█▋        | 470/2703 [00:00<00:00, 2323.15it/s]


word -> phonemes:  26%|██▌       | 703/2703 [00:00<00:00, 2202.85it/s]


word -> phonemes:  34%|███▍      | 924/2703 [00:00<00:00, 2147.08it/s]


word -> phonemes:  42%|████▏     | 1140/2703 [00:00<00:00, 2062.88it/s]


word -> phonemes:  50%|█████     | 1364/2703 [00:00<00:00, 2116.54it/s]


word -> phonemes:  59%|█████▉    | 1597/2703 [00:00<00:00, 2182.67it/s]


word -> phonemes:  67%|██████▋   | 1816/2703 [00:00<00:00, 2098.96it/s]


word -> phonemes:  76%|███████▌  | 2051/2703 [00:00<00:00, 2173.84it/s]


word -> phonemes:  84%|████████▍ | 2280/2703 [00:01<00:00, 2208.29it/s]


word -> phonemes:  93%|█████████▎| 2517/2703 [00:01<00:00, 2255.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2172.07it/s]



dev:   0%|          | 0/2703 [00:00<?, ?it/s]


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train:  55%|█████▌    | 1939/3515 [08:34<05:34,  4.71it/s]
overall:  48%|████▊     | 1940/4000 [08:37<07:11,  4.78it/s]

train:  55%|█████▌    | 1940/3515 [08:34<05:29,  4.78it/s]
overall:  49%|████▊     | 1941/4000 [08:37<06:55,  4.95it/s]

train:  55%|█████▌    | 1941/3515 [08:34<05:17,  4.95it/s]
overall:  49%|████▊     | 1942/4000 [08:38<07:00,  4.90it/s]

train:  55%|█████▌    | 1942/3515 [08:34<05:21,  4.90it/s]
overall:  49%|████▊     | 1943/4000 [08:38<07:06,  4.83it/s]

train:  55%|█████▌    | 1943/3515 [08:35<05:25,  4.83it/s]
overall:  49%|████▊     | 1944/4000 [08:38<06:23,  5.36it/s]

train:  55%|█████▌    | 1944/3515 [08:35<04:52,  5.36it/s]
overall:  49%|████▊     | 1945/4000 [08:38<07:37,  4.49it/s]

train:  55%|█████▌    | 1945/3515 [08:35<05:49,  4.49it/s]
overall:  49%|████▊     | 1946/4000 [08:38<07:30,  4.56it/s]

train:  55%|█████▌    | 1946/3515 [08:35<05:44,  4.56it/s]
overall:  49%|████▊     | 1948/4000 [08:39<06:19,  5.41it/s]

train:  55%|█████▌    | 1948/3515 [08:36<04:49,  5.41it/s]
overall:  49%|████▊     | 1949/4000 [08:39<06:33,  5.22it/s]

train:  55%|█████▌    | 1949/3515 [08:36<05:00,  5.22it/s]
overall:  49%|████▉     | 1950/4000 [08:39<06:50,  5.00it/s]

train:  55%|█████▌    | 1950/3515 [08:36<05:13,  5.00it/s]
overall:  49%|████▉     | 1951/4000 [08:39<06:56,  4.92it/s]

train:  56%|█████▌    | 1951/3515 [08:36<05:17,  4.92it/s]
overall:  49%|████▉     | 1952/4000 [08:40<06:58,  4.89it/s]

train:  56%|█████▌    | 1952/3515 [08:36<05:19,  4.89it/s]
overall:  49%|████▉     | 1953/4000 [08:40<07:55,  4.30it/s]

train:  56%|█████▌    | 1953/3515 [08:37<06:03,  4.30it/s]
overall:  49%|████▉     | 1954/4000 [08:40<07:47,  4.38it/s]

train:  56%|█████▌    | 1954/3515 [08:37<05:56,  4.38it/s]
overall:  49%|████▉     | 1955/4000 [08:40<07:24,  4.61it/s]

train:  56%|█████▌    | 1955/3515 [08:37<05:38,  4.61it/s]
overall:  49%|████▉     | 1956/4000 [08:40<07:10,  4.75it/s]

train:  56%|█████▌    | 1956/3515 [08:37<05:28,  4.75it/s]
overall:  49%|████▉     | 1957/4000 [08:41<07:10,  4.74it/s]

train:  56%|█████▌    | 1957/3515 [08:37<05:28,  4.74it/s]
overall:  49%|████▉     | 1958/4000 [08:41<07:06,  4.78it/s]

train:  56%|█████▌    | 1958/3515 [08:38<05:25,  4.78it/s]
overall:  49%|████▉     | 1959/4000 [08:41<07:04,  4.81it/s]

train:  56%|█████▌    | 1959/3515 [08:38<05:23,  4.81it/s]
overall:  49%|████▉     | 1960/4000 [08:41<07:08,  4.76it/s]

train:  56%|█████▌    | 1960/3515 [08:38<05:26,  4.76it/s]
overall:  49%|████▉     | 1961/4000 [08:42<07:59,  4.25it/s]

train:  56%|█████▌    | 1961/3515 [08:38<06:05,  4.25it/s]
overall:  49%|████▉     | 1962/4000 [08:42<07:45,  4.38it/s]

train:  56%|█████▌    | 1962/3515 [08:39<05:54,  4.38it/s]
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train:  56%|█████▌    | 1963/3515 [08:39<05:50,  4.42it/s]
overall:  49%|████▉     | 1964/4000 [08:42<07:19,  4.63it/s]

train:  56%|█████▌    | 1964/3515 [08:39<05:34,  4.63it/s]
overall:  49%|████▉     | 1965/4000 [08:42<07:18,  4.64it/s]

train:  56%|█████▌    | 1965/3515 [08:39<05:33,  4.64it/s]
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train:  56%|█████▌    | 1966/3515 [08:39<05:23,  4.79it/s]
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train:  56%|█████▌    | 1967/3515 [08:40<05:10,  4.98it/s]
overall:  49%|████▉     | 1968/4000 [08:43<07:03,  4.79it/s]

train:  56%|█████▌    | 1968/3515 [08:40<05:22,  4.79it/s]
overall:  49%|████▉     | 1969/4000 [08:43<08:03,  4.20it/s]

train:  56%|█████▌    | 1969/3515 [08:40<06:08,  4.20it/s]
overall:  49%|████▉     | 1970/4000 [08:44<07:49,  4.32it/s]

train:  56%|█████▌    | 1970/3515 [08:40<05:57,  4.32it/s]
overall:  49%|████▉     | 1971/4000 [08:44<07:42,  4.38it/s]

train:  56%|█████▌    | 1971/3515 [08:41<05:52,  4.39it/s]
overall:  49%|████▉     | 1972/4000 [08:44<07:28,  4.53it/s]

train:  56%|█████▌    | 1972/3515 [08:41<05:40,  4.52it/s]
overall:  49%|████▉     | 1973/4000 [08:44<07:20,  4.60it/s]

train:  56%|█████▌    | 1973/3515 [08:41<05:35,  4.60it/s]
overall:  49%|████▉     | 1974/4000 [08:44<07:16,  4.64it/s]

train:  56%|█████▌    | 1974/3515 [08:41<05:32,  4.64it/s]
overall:  49%|████▉     | 1975/4000 [08:45<07:19,  4.61it/s]

train:  56%|█████▌    | 1975/3515 [08:41<05:34,  4.61it/s]
overall:  49%|████▉     | 1976/4000 [08:45<07:10,  4.71it/s]

train:  56%|█████▌    | 1976/3515 [08:42<05:27,  4.71it/s]
overall:  49%|████▉     | 1977/4000 [08:45<08:09,  4.13it/s]

train:  56%|█████▌    | 1977/3515 [08:42<06:12,  4.13it/s]
overall:  49%|████▉     | 1978/4000 [08:45<07:37,  4.42it/s]

train:  56%|█████▋    | 1978/3515 [08:42<05:47,  4.42it/s]
overall:  49%|████▉     | 1979/4000 [08:45<06:55,  4.86it/s]

train:  56%|█████▋    | 1979/3515 [08:42<05:16,  4.86it/s]
overall:  50%|████▉     | 1980/4000 [08:46<07:05,  4.74it/s]

train:  56%|█████▋    | 1980/3515 [08:43<05:23,  4.74it/s]
overall:  50%|████▉     | 1981/4000 [08:46<06:22,  5.27it/s]

train:  56%|█████▋    | 1981/3515 [08:43<04:50,  5.27it/s]
overall:  50%|████▉     | 1982/4000 [08:46<06:27,  5.21it/s]

train:  56%|█████▋    | 1982/3515 [08:43<04:54,  5.21it/s]
overall:  50%|████▉     | 1984/4000 [08:46<05:46,  5.81it/s]

train:  56%|█████▋    | 1984/3515 [08:43<04:23,  5.81it/s]
overall:  50%|████▉     | 1985/4000 [08:47<06:43,  4.99it/s]

train:  56%|█████▋    | 1985/3515 [08:43<05:06,  4.99it/s]
overall:  50%|████▉     | 1986/4000 [08:47<05:51,  5.73it/s]

train:  57%|█████▋    | 1986/3515 [08:44<04:27,  5.73it/s]
overall:  50%|████▉     | 1987/4000 [08:47<06:06,  5.49it/s]

train:  57%|█████▋    | 1987/3515 [08:44<04:38,  5.49it/s]
overall:  50%|████▉     | 1988/4000 [08:47<06:29,  5.16it/s]

train:  57%|█████▋    | 1988/3515 [08:44<04:55,  5.16it/s]
overall:  50%|████▉     | 1989/4000 [08:47<06:40,  5.03it/s]

train:  57%|█████▋    | 1989/3515 [08:44<05:03,  5.03it/s]
overall:  50%|████▉     | 1990/4000 [08:48<06:50,  4.89it/s]

train:  57%|█████▋    | 1990/3515 [08:44<05:11,  4.89it/s]
overall:  50%|████▉     | 1991/4000 [08:48<06:56,  4.82it/s]

train:  57%|█████▋    | 1991/3515 [08:45<05:15,  4.82it/s]
overall:  50%|████▉     | 1992/4000 [08:48<06:32,  5.11it/s]

train:  57%|█████▋    | 1992/3515 [08:45<04:57,  5.11it/s]
overall:  50%|████▉     | 1993/4000 [08:48<07:42,  4.34it/s]

train:  57%|█████▋    | 1993/3515 [08:45<05:50,  4.34it/s]
overall:  50%|████▉     | 1994/4000 [08:48<07:26,  4.50it/s]

train:  57%|█████▋    | 1994/3515 [08:45<05:38,  4.50it/s]
overall:  50%|████▉     | 1995/4000 [08:49<07:27,  4.48it/s]

train:  57%|█████▋    | 1995/3515 [08:46<05:39,  4.48it/s]
overall:  50%|████▉     | 1996/4000 [08:49<07:13,  4.62it/s]

train:  57%|█████▋    | 1996/3515 [08:46<05:28,  4.62it/s]
overall:  50%|████▉     | 1997/4000 [08:49<07:19,  4.56it/s]

train:  57%|█████▋    | 1997/3515 [08:46<05:32,  4.56it/s]
overall:  50%|████▉     | 1998/4000 [08:49<07:09,  4.67it/s]

train:  57%|█████▋    | 1998/3515 [08:46<05:25,  4.67it/s]
overall:  50%|████▉     | 1999/4000 [08:50<07:02,  4.73it/s]

train:  57%|█████▋    | 1999/3515 [08:46<05:20,  4.73it/s]dev loss: 2.460526466369629
dev per: 0.633366285119667
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.231489896774292
train per: 0.6035314623487509
train loss: 2.1969428062438965
train per: 0.6031426775612823
train loss: 2.27618145942688
train per: 0.6102726609520336
train loss: 2.2214834690093994
train per: 0.6025698199453704
train loss: 2.2745327949523926
train per: 0.604636678200692
train loss: 2.2396116256713867
train per: 0.5986509274873525
train loss: 2.2128193378448486
train per: 0.6025654314589272
train loss: 2.224414825439453
train per: 0.6009695082131914
train loss: 2.2166357040405273
train per: 0.5975406320003813
train loss: 2.2134251594543457
train per: 0.5972562724949142
train loss: 2.2431888580322266
train per: 0.5985653988975252
train loss: 2.2037415504455566
train per: 0.5932322110042993
train loss: 2.2373335361480713
train per: 0.5986838774993672
train loss: 2.1957716941833496
train per: 0.5956502441189525
train loss: 2.212822675704956
train per: 0.5981310656289036
train loss: 2.259862184524536
train per: 0.6041981200993523
train loss: 2.239133596420288
train per: 0.6009327721533386
train loss: 2.1890902519226074
train per: 0.5993911124766081
train loss: 2.224520206451416
train per: 0.5964784897440552
train loss: 2.2240450382232666
train per: 0.595318805488297
train loss: 2.197160005569458
train per: 0.5948332965334511
train loss: 2.2111709117889404
train per: 0.5952375137379411
train loss: 2.182213068008423
train per: 0.5982254006091908
train loss: 2.2373428344726562
train per: 0.5976629298878966
train loss: 2.2611584663391113
train per: 0.6068608634386919
train loss: 2.2247049808502197
train per: 0.5953824948311509
train loss: 2.2035863399505615
train per: 0.5961631991353689
train loss: 2.263648509979248
train per: 0.6063409440435349
train loss: 2.24381947517395
train per: 0.5990507586916368
train loss: 2.248566150665283
train per: 0.6034028513037697
train loss: 2.219017505645752
train per: 0.5992561241503143
train loss: 2.235252857208252
train per: 0.6019308868947739
train loss: 2.2332518100738525
train per: 0.6013376383763838
train loss: 2.2378182411193848
train per: 0.6031741975056226
train loss: 2.1900434494018555
train per: 0.5929859284110931
train loss: 2.181056261062622
train per: 0.5985641458779524
train loss: 2.2505011558532715
train per: 0.612630070078573
train loss: 2.2112975120544434
train per: 0.6026255056207658
train loss: 2.1920077800750732
train per: 0.5993738088755786
train loss: 2.2695212364196777
train per: 0.6007117766685154
train loss: 2.2462849617004395
train per: 0.5969293710380794
train loss: 2.2387535572052
train per: 0.6042534588283701
train loss: 2.2057442665100098
train per: 0.5939553873730332
train loss: 2.181063413619995
train per: 0.592729746070133
train loss: 2.2069995403289795
train per: 0.5957239362072567
train loss: 2.21993350982666
train per: 0.5964818335162922
train loss: 2.2016444206237793
train per: 0.5935859336305102
train loss: 2.2591748237609863
train per: 0.602674639595791
train loss: 2.1863369941711426
train per: 0.5912015633191936
train loss: 2.19669771194458
train per: 0.5895921578119327
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



word -> phonemes:   0%|          | 0/2703 [00:00<?, ?it/s]


word -> phonemes:  11%|█         | 294/2703 [00:00<00:00, 2936.47it/s]


word -> phonemes:  22%|██▏       | 588/2703 [00:00<00:00, 2747.68it/s]


word -> phonemes:  33%|███▎      | 897/2703 [00:00<00:00, 2896.05it/s]


word -> phonemes:  44%|████▍     | 1188/2703 [00:00<00:00, 2596.55it/s]


word -> phonemes:  54%|█████▎    | 1452/2703 [00:00<00:00, 2436.25it/s]


word -> phonemes:  64%|██████▍   | 1739/2703 [00:00<00:00, 2568.77it/s]


word -> phonemes:  76%|███████▌  | 2054/2703 [00:00<00:00, 2743.80it/s]


word -> phonemes:  86%|████████▋ | 2333/2703 [00:00<00:00, 2662.16it/s]


word -> phonemes:  96%|█████████▋| 2603/2703 [00:00<00:00, 2646.71it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2644.90it/s]



dev:   0%|          | 0/2703 [00:00<?, ?it/s]


dev:   0%|          | 1/2703 [00:00<32:36,  1.38it/s]


dev:   0%|          | 3/2703 [00:00<10:28,  4.30it/s]


dev:   0%|          | 6/2703 [00:01<05:36,  8.02it/s]


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dev:   1%|          | 30/2703 [00:02<02:45, 16.17it/s]


dev:   1%|          | 32/2703 [00:02<02:41, 16.52it/s]


dev:   1%|▏         | 34/2703 [00:02<02:38, 16.81it/s]


dev:   1%|▏         | 36/2703 [00:02<02:34, 17.29it/s]


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dev:   2%|▏         | 49/2703 [00:03<02:22, 18.65it/s]


dev:   2%|▏         | 52/2703 [00:03<02:19, 18.94it/s]


dev:   2%|▏         | 54/2703 [00:03<02:20, 18.84it/s]


dev:   2%|▏         | 57/2703 [00:03<02:12, 19.94it/s]


dev:   2%|▏         | 59/2703 [00:04<02:21, 18.71it/s]


dev:   2%|▏         | 61/2703 [00:04<02:22, 18.48it/s]


dev:   2%|▏         | 64/2703 [00:04<02:19, 18.97it/s]


dev:   2%|▏         | 66/2703 [00:04<02:23, 18.36it/s]


dev:   3%|▎         | 68/2703 [00:04<02:20, 18.76it/s]


dev:   3%|▎         | 70/2703 [00:04<02:22, 18.49it/s]


dev:   3%|▎         | 72/2703 [00:04<02:24, 18.22it/s]


dev:   3%|▎         | 74/2703 [00:04<02:23, 18.29it/s]


dev:   3%|▎         | 77/2703 [00:05<02:13, 19.62it/s]


dev:   3%|▎         | 79/2703 [00:05<02:15, 19.37it/s]


dev:   3%|▎         | 81/2703 [00:05<02:15, 19.32it/s]


dev:   3%|▎         | 84/2703 [00:05<02:15, 19.32it/s]


dev:   3%|▎         | 86/2703 [00:05<02:21, 18.52it/s]


dev:   3%|▎         | 88/2703 [00:05<02:18, 18.86it/s]


dev:   3%|▎         | 90/2703 [00:05<02:19, 18.67it/s]


dev:   3%|▎         | 92/2703 [00:05<02:17, 18.99it/s]


dev:   4%|▎         | 95/2703 [00:05<02:13, 19.50it/s]


dev:   4%|▎         | 97/2703 [00:06<02:21, 18.48it/s]


dev:   4%|▎         | 100/2703 [00:06<02:16, 19.11it/s]


dev:   4%|▍         | 103/2703 [00:06<02:12, 19.67it/s]


dev:   4%|▍         | 105/2703 [00:06<02:12, 19.59it/s]


dev:   4%|▍         | 107/2703 [00:06<02:13, 19.46it/s]


dev:   4%|▍         | 109/2703 [00:06<02:17, 18.85it/s]


dev:   4%|▍         | 112/2703 [00:06<02:06, 20.42it/s]


dev:   4%|▍         | 115/2703 [00:06<02:07, 20.35it/s]


dev:   4%|▍         | 118/2703 [00:07<02:11, 19.69it/s]


dev:   4%|▍         | 121/2703 [00:07<02:11, 19.67it/s]


dev:   5%|▍         | 124/2703 [00:07<02:09, 19.86it/s]


dev:   5%|▍         | 126/2703 [00:07<02:12, 19.52it/s]


dev:   5%|▍         | 129/2703 [00:07<02:07, 20.16it/s]


dev:   5%|▍         | 132/2703 [00:07<02:13, 19.32it/s]


dev:   5%|▍         | 134/2703 [00:07<02:13, 19.25it/s]


dev:   5%|▌         | 136/2703 [00:08<02:15, 18.88it/s]


dev:   5%|▌         | 139/2703 [00:08<02:05, 20.47it/s]


dev:   5%|▌         | 142/2703 [00:08<02:09, 19.74it/s]


dev:   5%|▌         | 144/2703 [00:08<02:11, 19.42it/s]


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overall:  74%|███████▍  | 2962/4000 [14:07<03:41,  4.68it/s]

train:  84%|████████▍ | 2962/3515 [14:04<01:58,  4.68it/s]
overall:  74%|███████▍  | 2963/4000 [14:07<03:43,  4.65it/s]

train:  84%|████████▍ | 2963/3515 [14:04<01:58,  4.65it/s]
overall:  74%|███████▍  | 2964/4000 [14:07<03:43,  4.64it/s]

train:  84%|████████▍ | 2964/3515 [14:04<01:58,  4.64it/s]
overall:  74%|███████▍  | 2965/4000 [14:07<03:41,  4.67it/s]

train:  84%|████████▍ | 2965/3515 [14:04<01:57,  4.67it/s]
overall:  74%|███████▍  | 2966/4000 [14:08<03:38,  4.74it/s]

train:  84%|████████▍ | 2966/3515 [14:04<01:55,  4.74it/s]
overall:  74%|███████▍  | 2967/4000 [14:08<03:40,  4.68it/s]

train:  84%|████████▍ | 2967/3515 [14:05<01:56,  4.68it/s]
overall:  74%|███████▍  | 2968/4000 [14:08<03:39,  4.71it/s]

train:  84%|████████▍ | 2968/3515 [14:05<01:56,  4.71it/s]
overall:  74%|███████▍  | 2970/4000 [14:08<03:02,  5.64it/s]

train:  84%|████████▍ | 2970/3515 [14:05<01:36,  5.64it/s]
overall:  74%|███████▍  | 2971/4000 [14:09<03:10,  5.39it/s]

train:  85%|████████▍ | 2971/3515 [14:05<01:40,  5.39it/s]
overall:  74%|███████▍  | 2972/4000 [14:09<03:18,  5.18it/s]

train:  85%|████████▍ | 2972/3515 [14:06<01:44,  5.18it/s]
overall:  74%|███████▍  | 2973/4000 [14:09<03:19,  5.15it/s]

train:  85%|████████▍ | 2973/3515 [14:06<01:45,  5.15it/s]
overall:  74%|███████▍  | 2974/4000 [14:09<03:18,  5.18it/s]

train:  85%|████████▍ | 2974/3515 [14:06<01:44,  5.18it/s]
overall:  74%|███████▍  | 2975/4000 [14:09<03:23,  5.04it/s]

train:  85%|████████▍ | 2975/3515 [14:06<01:47,  5.04it/s]
overall:  74%|███████▍  | 2976/4000 [14:10<03:21,  5.09it/s]

train:  85%|████████▍ | 2976/3515 [14:06<01:45,  5.09it/s]
overall:  74%|███████▍  | 2977/4000 [14:10<04:35,  3.72it/s]

train:  85%|████████▍ | 2977/3515 [14:07<02:24,  3.72it/s]
overall:  74%|███████▍  | 2978/4000 [14:10<04:19,  3.94it/s]

train:  85%|████████▍ | 2978/3515 [14:07<02:16,  3.94it/s]
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train:  85%|████████▍ | 2979/3515 [14:07<02:07,  4.19it/s]
overall:  74%|███████▍  | 2980/4000 [14:11<03:51,  4.40it/s]

train:  85%|████████▍ | 2980/3515 [14:07<02:01,  4.40it/s]
overall:  75%|███████▍  | 2982/4000 [14:11<02:42,  6.27it/s]

train:  85%|████████▍ | 2982/3515 [14:08<01:25,  6.27it/s]
overall:  75%|███████▍  | 2983/4000 [14:11<02:55,  5.79it/s]

train:  85%|████████▍ | 2983/3515 [14:08<01:31,  5.79it/s]
overall:  75%|███████▍  | 2984/4000 [14:11<03:00,  5.64it/s]

train:  85%|████████▍ | 2984/3515 [14:08<01:34,  5.64it/s]
overall:  75%|███████▍  | 2985/4000 [14:11<03:38,  4.65it/s]

train:  85%|████████▍ | 2985/3515 [14:08<01:54,  4.65it/s]
overall:  75%|███████▍  | 2986/4000 [14:12<03:33,  4.76it/s]

train:  85%|████████▍ | 2986/3515 [14:09<01:51,  4.76it/s]
overall:  75%|███████▍  | 2987/4000 [14:12<03:28,  4.87it/s]

train:  85%|████████▍ | 2987/3515 [14:09<01:48,  4.87it/s]
overall:  75%|███████▍  | 2988/4000 [14:12<03:31,  4.78it/s]

train:  85%|████████▌ | 2988/3515 [14:09<01:50,  4.79it/s]
overall:  75%|███████▍  | 2989/4000 [14:12<03:32,  4.76it/s]

train:  85%|████████▌ | 2989/3515 [14:09<01:50,  4.76it/s]
overall:  75%|███████▍  | 2990/4000 [14:12<03:29,  4.82it/s]

train:  85%|████████▌ | 2990/3515 [14:09<01:48,  4.82it/s]
overall:  75%|███████▍  | 2991/4000 [14:13<03:18,  5.08it/s]

train:  85%|████████▌ | 2991/3515 [14:10<01:43,  5.08it/s]
overall:  75%|███████▍  | 2992/4000 [14:13<03:23,  4.96it/s]

train:  85%|████████▌ | 2992/3515 [14:10<01:45,  4.96it/s]
overall:  75%|███████▍  | 2993/4000 [14:13<03:24,  4.93it/s]

train:  85%|████████▌ | 2993/3515 [14:10<01:45,  4.93it/s]
overall:  75%|███████▍  | 2994/4000 [14:13<03:22,  4.98it/s]

train:  85%|████████▌ | 2994/3515 [14:10<01:44,  4.98it/s]
overall:  75%|███████▍  | 2995/4000 [14:13<03:26,  4.87it/s]

train:  85%|████████▌ | 2995/3515 [14:10<01:46,  4.87it/s]
overall:  75%|███████▍  | 2996/4000 [14:14<03:29,  4.79it/s]

train:  85%|████████▌ | 2996/3515 [14:11<01:48,  4.79it/s]
overall:  75%|███████▍  | 2997/4000 [14:14<03:31,  4.74it/s]

train:  85%|████████▌ | 2997/3515 [14:11<01:49,  4.74it/s]
overall:  75%|███████▍  | 2998/4000 [14:14<03:24,  4.90it/s]

train:  85%|████████▌ | 2998/3515 [14:11<01:45,  4.90it/s]
overall:  75%|███████▍  | 2999/4000 [14:14<03:29,  4.79it/s]

train:  85%|████████▌ | 2999/3515 [14:11<01:47,  4.79it/s]dev loss: 2.463960647583008
dev per: 0.6305879292403747
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.1505472660064697
train per: 0.5905064483993431
train loss: 2.1742043495178223
train per: 0.6054631567353232
train loss: 2.21334171295166
train per: 0.5988420181968569
train loss: 2.227445125579834
train per: 0.5980322763306908
train loss: 2.183532476425171
train per: 0.592945519856316
train loss: 2.182748317718506
train per: 0.5877331864803469
train loss: 2.211977481842041
train per: 0.5911724008536785
train loss: 2.2295913696289062
train per: 0.5971804062126643
train loss: 2.1523044109344482
train per: 0.5894952051793798
train loss: 2.1938247680664062
train per: 0.5901245149156013
train loss: 2.2009994983673096
train per: 0.5930967855260847
train loss: 2.201256275177002
train per: 0.5981032021211503
train loss: 2.2597618103027344
train per: 0.6081854148845167
train loss: 2.2255775928497314
train per: 0.6010190464636661
train loss: 2.1586577892303467
train per: 0.5925673758865249
train loss: 2.2306876182556152
train per: 0.6004733606030203
train loss: 2.228407382965088
train per: 0.6001612717428868
train loss: 2.197627067565918
train per: 0.5979389352017593
train loss: 2.192314386367798
train per: 0.5934356047092401
train loss: 2.195237874984741
train per: 0.5895412702096388
train loss: 2.1854355335235596
train per: 0.5943547097393251
train loss: 2.2543559074401855
train per: 0.6009100768614137
train loss: 2.2487597465515137
train per: 0.6043240309376272
train loss: 2.1999692916870117
train per: 0.5952580780528746
train loss: 2.182490825653076
train per: 0.5938036020583191
train loss: 2.177046298980713
train per: 0.5917127335112466
train loss: 2.168464422225952
train per: 0.586074186008075
train loss: 2.1735177040100098
train per: 0.5918509281020673
train loss: 2.1885547637939453
train per: 0.5923576349308619
train loss: 2.2390663623809814
train per: 0.5983213156517981
train loss: 2.1559741497039795
train per: 0.5894924309884239
train loss: 2.1824069023132324
train per: 0.5916449355813173
train loss: 2.1942138671875
train per: 0.5957119552551853
train loss: 2.1904633045196533
train per: 0.5971327602195544
train loss: 2.2214274406433105
train per: 0.5948717948717949
train loss: 2.1839354038238525
train per: 0.5975293663486461
train loss: 2.223245143890381
train per: 0.6032548391073851
train loss: 2.1746859550476074
train per: 0.5896360534546489
train loss: 2.1845486164093018
train per: 0.5911380992787442
train loss: 2.173686981201172
train per: 0.5890753570267364
train loss: 2.1454408168792725
train per: 0.5871327002436235
train loss: 2.198317289352417
train per: 0.5994280917152002
train loss: 2.1747689247131348
train per: 0.5976713755441023
train loss: 2.2277750968933105
train per: 0.5928120513229563
train loss: 2.1818759441375732
train per: 0.5936383870800767
train loss: 2.210540771484375
train per: 0.5950256217972754
train loss: 2.21519136428833
train per: 0.5953485691230295
train loss: 2.238442897796631
train per: 0.5997012019829323
train loss: 2.187779664993286
train per: 0.5958445886243721
train loss: 2.227151393890381
train per: 0.6047440575993688
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



word -> phonemes:   0%|          | 0/2703 [00:00<?, ?it/s]


word -> phonemes:  10%|▉         | 264/2703 [00:00<00:00, 2636.90it/s]


word -> phonemes:  21%|██        | 558/2703 [00:00<00:00, 2812.01it/s]


word -> phonemes:  31%|███       | 840/2703 [00:00<00:00, 2676.76it/s]


word -> phonemes:  41%|████      | 1111/2703 [00:00<00:00, 2688.50it/s]


word -> phonemes:  51%|█████     | 1381/2703 [00:00<00:00, 2660.13it/s]


word -> phonemes:  62%|██████▏   | 1672/2703 [00:00<00:00, 2742.44it/s]


word -> phonemes:  73%|███████▎  | 1962/2703 [00:00<00:00, 2790.26it/s]


word -> phonemes:  83%|████████▎ | 2249/2703 [00:00<00:00, 2813.61it/s]


word -> phonemes:  94%|█████████▍| 2536/2703 [00:00<00:00, 2829.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2776.82it/s]



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train: 100%|█████████▉| 3514/3515 [17:56<00:00,  5.26it/s]
overall:  88%|████████▊ | 3515/4000 [17:59<01:36,  5.02it/s]

train: 100%|██████████| 3515/3515 [17:56<00:00,  5.02it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [17:56<00:00,  3.27it/s]
dev loss: 2.457529067993164
dev per: 0.6296670135275755
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.15516996383667
train per: 0.5908374014269621
train loss: 2.1901845932006836
train per: 0.5956006768189509
train loss: 2.161196231842041
train per: 0.59007496105919
train loss: 2.164963483810425
train per: 0.5876808306870306
train loss: 2.1883649826049805
train per: 0.5905981489809927
train loss: 2.1978976726531982
train per: 0.5950035543820453
train loss: 2.1623005867004395
train per: 0.5888782551755403
train loss: 2.2094645500183105
train per: 0.5939098484666555
train loss: 2.2263238430023193
train per: 0.5960461120932201
train loss: 2.1698381900787354
train per: 0.5897722409776045
train loss: 2.202867031097412
train per: 0.5956640013189349
train loss: 2.235973596572876
train per: 0.6011165814704011
train loss: 2.1540441513061523
train per: 0.5913448232482074
train loss: 2.1674296855926514
train per: 0.587386461811474
train loss: 2.196462631225586
train per: 0.5929496614659994
train loss: 2.2202510833740234
train per: 0.5949944154452828
train loss: 2.222902774810791
train per: 0.5935841112941607
train loss: 2.1842899322509766
train per: 0.5958215519949733
train loss: 2.195960760116577
train per: 0.597796288485871
train loss: 2.1937503814697266
train per: 0.5922675650709124
train loss: 2.2106544971466064
train per: 0.6002586254333352
train loss: 2.2396864891052246
train per: 0.6028423973650769
train loss: 2.2250823974609375
train per: 0.5980038681024809
train loss: 2.202714443206787
train per: 0.5988964766429137
train loss: 2.2275569438934326
train per: 0.596778383995843
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


word -> phonemes:   0%|          | 0/3515 [00:00<?, ?it/s]

word -> phonemes:   7%|▋         | 256/3515 [00:00<00:01, 2555.65it/s]

word -> phonemes:  15%|█▍        | 512/3515 [00:00<00:01, 2416.48it/s]

word -> phonemes:  22%|██▏       | 771/3515 [00:00<00:01, 2492.61it/s]

word -> phonemes:  29%|██▉       | 1023/3515 [00:00<00:00, 2500.00it/s]

word -> phonemes:  37%|███▋      | 1299/3515 [00:00<00:00, 2589.69it/s]

word -> phonemes:  45%|████▍     | 1566/3515 [00:00<00:00, 2614.82it/s]

word -> phonemes:  52%|█████▏    | 1837/3515 [00:00<00:00, 2645.16it/s]

word -> phonemes:  60%|█████▉    | 2102/3515 [00:00<00:00, 2593.06it/s]

word -> phonemes:  67%|██████▋   | 2368/3515 [00:00<00:00, 2612.82it/s]

word -> phonemes:  75%|███████▌  | 2642/3515 [00:01<00:00, 2648.73it/s]

word -> phonemes:  83%|████████▎ | 2908/3515 [00:01<00:00, 2577.40it/s]

word -> phonemes:  90%|█████████ | 3175/3515 [00:01<00:00, 2602.71it/s]

word -> phonemes:  98%|█████████▊| 3436/3515 [00:01<00:00, 2562.25it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2579.94it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:03<10:43,  1.33s/it]

train:   0%|          | 1/3515 [00:01<1:14:48,  1.28s/it]
overall:  88%|████████▊ | 3517/4000 [18:03<07:46,  1.04it/s]

train:   0%|          | 2/3515 [00:01<34:44,  1.69it/s]  
overall:  88%|████████▊ | 3518/4000 [18:03<05:54,  1.36it/s]

train:   0%|          | 3/3515 [00:01<24:07,  2.43it/s]
overall:  88%|████████▊ | 3519/4000 [18:03<04:38,  1.73it/s]

train:   0%|          | 4/3515 [00:01<19:37,  2.98it/s]
overall:  88%|████████▊ | 3520/4000 [18:04<03:41,  2.17it/s]

train:   0%|          | 5/3515 [00:01<16:25,  3.56it/s]
overall:  88%|████████▊ | 3521/4000 [18:04<02:58,  2.69it/s]

train:   0%|          | 6/3515 [00:02<14:06,  4.15it/s]
overall:  88%|████████▊ | 3523/4000 [18:04<02:11,  3.64it/s]

train:   0%|          | 8/3515 [00:02<11:48,  4.95it/s]
overall:  88%|████████▊ | 3524/4000 [18:04<02:04,  3.82it/s]

train:   0%|          | 9/3515 [00:02<12:05,  4.83it/s]
overall:  88%|████████▊ | 3525/4000 [18:05<01:52,  4.24it/s]

train:   0%|          | 10/3515 [00:02<11:24,  5.12it/s]
overall:  88%|████████▊ | 3527/4000 [18:05<01:36,  4.91it/s]

train:   0%|          | 12/3515 [00:03<10:31,  5.55it/s]
overall:  88%|████████▊ | 3528/4000 [18:05<01:43,  4.55it/s]

train:   0%|          | 13/3515 [00:03<11:46,  4.95it/s]
overall:  88%|████████▊ | 3529/4000 [18:05<01:43,  4.57it/s]

train:   0%|          | 14/3515 [00:03<11:59,  4.86it/s]
overall:  88%|████████▊ | 3530/4000 [18:06<01:37,  4.82it/s]

train:   0%|          | 15/3515 [00:03<11:31,  5.06it/s]
overall:  88%|████████▊ | 3531/4000 [18:06<01:38,  4.74it/s]

train:   0%|          | 16/3515 [00:04<11:52,  4.91it/s]
overall:  88%|████████▊ | 3532/4000 [18:06<01:39,  4.70it/s]

train:   0%|          | 17/3515 [00:04<12:07,  4.81it/s]
overall:  88%|████████▊ | 3533/4000 [18:06<01:33,  4.97it/s]

train:   1%|          | 18/3515 [00:04<11:30,  5.07it/s]
overall:  88%|████████▊ | 3534/4000 [18:06<01:35,  4.87it/s]

train:   1%|          | 19/3515 [00:04<11:48,  4.93it/s]
overall:  88%|████████▊ | 3535/4000 [18:07<01:35,  4.87it/s]

train:   1%|          | 20/3515 [00:04<11:50,  4.92it/s]
overall:  88%|████████▊ | 3536/4000 [18:07<01:35,  4.84it/s]

train:   1%|          | 21/3515 [00:05<11:57,  4.87it/s]
overall:  88%|████████▊ | 3538/4000 [18:07<01:23,  5.54it/s]

train:   1%|          | 23/3515 [00:05<10:27,  5.56it/s]
overall:  88%|████████▊ | 3539/4000 [18:07<01:28,  5.21it/s]

train:   1%|          | 24/3515 [00:05<11:07,  5.23it/s]
overall:  88%|████████▊ | 3540/4000 [18:08<01:47,  4.29it/s]

train:   1%|          | 25/3515 [00:05<13:31,  4.30it/s]
overall:  89%|████████▊ | 3541/4000 [18:08<01:44,  4.40it/s]

train:   1%|          | 26/3515 [00:06<13:12,  4.40it/s]
overall:  89%|████████▊ | 3542/4000 [18:08<01:40,  4.54it/s]

train:   1%|          | 27/3515 [00:06<12:47,  4.54it/s]
overall:  89%|████████▊ | 3544/4000 [18:08<01:25,  5.31it/s]

train:   1%|          | 29/3515 [00:06<10:55,  5.32it/s]
overall:  89%|████████▊ | 3546/4000 [18:09<01:19,  5.68it/s]

train:   1%|          | 31/3515 [00:06<10:12,  5.69it/s]
overall:  89%|████████▊ | 3547/4000 [18:09<01:24,  5.35it/s]

train:   1%|          | 32/3515 [00:07<10:51,  5.35it/s]
overall:  89%|████████▊ | 3548/4000 [18:09<01:27,  5.15it/s]

train:   1%|          | 33/3515 [00:07<11:16,  5.15it/s]
overall:  89%|████████▊ | 3549/4000 [18:09<01:28,  5.08it/s]

train:   1%|          | 34/3515 [00:07<11:25,  5.08it/s]
overall:  89%|████████▉ | 3550/4000 [18:10<01:26,  5.19it/s]

train:   1%|          | 35/3515 [00:07<11:09,  5.20it/s]
overall:  89%|████████▉ | 3551/4000 [18:10<01:30,  4.94it/s]

train:   1%|          | 36/3515 [00:08<11:44,  4.94it/s]
overall:  89%|████████▉ | 3552/4000 [18:10<01:45,  4.26it/s]

train:   1%|          | 37/3515 [00:08<13:35,  4.26it/s]
overall:  89%|████████▉ | 3553/4000 [18:10<01:42,  4.38it/s]

train:   1%|          | 38/3515 [00:08<13:13,  4.38it/s]
overall:  89%|████████▉ | 3554/4000 [18:10<01:40,  4.46it/s]

train:   1%|          | 39/3515 [00:08<13:00,  4.46it/s]
overall:  89%|████████▉ | 3556/4000 [18:11<01:24,  5.27it/s]

train:   1%|          | 41/3515 [00:09<10:59,  5.27it/s]
overall:  89%|████████▉ | 3557/4000 [18:11<01:26,  5.14it/s]

train:   1%|          | 42/3515 [00:09<11:15,  5.14it/s]
overall:  89%|████████▉ | 3558/4000 [18:11<01:29,  4.93it/s]

train:   1%|          | 43/3515 [00:09<11:44,  4.93it/s]
overall:  89%|████████▉ | 3559/4000 [18:11<01:31,  4.83it/s]

train:   1%|▏         | 44/3515 [00:09<11:58,  4.83it/s]
overall:  89%|████████▉ | 3560/4000 [18:12<01:32,  4.74it/s]

train:   1%|▏         | 45/3515 [00:09<12:12,  4.74it/s]
overall:  89%|████████▉ | 3561/4000 [18:12<01:32,  4.72it/s]

train:   1%|▏         | 46/3515 [00:10<12:14,  4.73it/s]
overall:  89%|████████▉ | 3562/4000 [18:12<01:33,  4.67it/s]

train:   1%|▏         | 47/3515 [00:10<12:22,  4.67it/s]
overall:  89%|████████▉ | 3563/4000 [18:12<01:23,  5.25it/s]

train:   1%|▏         | 48/3515 [00:10<11:00,  5.25it/s]
overall:  89%|████████▉ | 3564/4000 [18:12<01:30,  4.80it/s]

train:   1%|▏         | 49/3515 [00:10<12:02,  4.80it/s]
overall:  89%|████████▉ | 3565/4000 [18:13<01:18,  5.53it/s]

train:   1%|▏         | 50/3515 [00:10<10:26,  5.53it/s]
overall:  89%|████████▉ | 3566/4000 [18:13<01:22,  5.24it/s]

train:   1%|▏         | 51/3515 [00:11<11:00,  5.24it/s]
overall:  89%|████████▉ | 3567/4000 [18:13<01:22,  5.25it/s]

train:   1%|▏         | 52/3515 [00:11<10:59,  5.25it/s]
overall:  89%|████████▉ | 3569/4000 [18:13<01:12,  5.93it/s]

train:   2%|▏         | 54/3515 [00:11<09:43,  5.93it/s]
overall:  89%|████████▉ | 3570/4000 [18:13<01:15,  5.67it/s]

train:   2%|▏         | 55/3515 [00:11<10:09,  5.67it/s]
overall:  89%|████████▉ | 3571/4000 [18:14<01:29,  4.78it/s]

train:   2%|▏         | 56/3515 [00:12<12:03,  4.78it/s]
overall:  89%|████████▉ | 3572/4000 [18:14<01:29,  4.78it/s]

train:   2%|▏         | 57/3515 [00:12<12:02,  4.78it/s]
overall:  89%|████████▉ | 3573/4000 [18:14<01:28,  4.81it/s]

train:   2%|▏         | 58/3515 [00:12<11:58,  4.81it/s]
overall:  89%|████████▉ | 3574/4000 [18:14<01:28,  4.79it/s]

train:   2%|▏         | 59/3515 [00:12<12:01,  4.79it/s]
overall:  89%|████████▉ | 3575/4000 [18:15<01:27,  4.85it/s]

train:   2%|▏         | 60/3515 [00:12<11:52,  4.85it/s]
overall:  89%|████████▉ | 3576/4000 [18:15<01:36,  4.41it/s]

train:   2%|▏         | 61/3515 [00:13<13:03,  4.41it/s]
overall:  89%|████████▉ | 3577/4000 [18:15<01:31,  4.61it/s]

train:   2%|▏         | 62/3515 [00:13<12:29,  4.61it/s]
overall:  89%|████████▉ | 3578/4000 [18:15<01:30,  4.65it/s]

train:   2%|▏         | 63/3515 [00:13<12:21,  4.65it/s]
overall:  89%|████████▉ | 3579/4000 [18:15<01:30,  4.67it/s]

train:   2%|▏         | 64/3515 [00:13<12:18,  4.67it/s]
overall:  90%|████████▉ | 3580/4000 [18:16<01:30,  4.65it/s]

train:   2%|▏         | 65/3515 [00:14<12:21,  4.65it/s]
overall:  90%|████████▉ | 3581/4000 [18:16<01:29,  4.70it/s]

train:   2%|▏         | 66/3515 [00:14<12:14,  4.70it/s]
overall:  90%|████████▉ | 3582/4000 [18:16<01:28,  4.72it/s]

train:   2%|▏         | 67/3515 [00:14<12:11,  4.72it/s]
overall:  90%|████████▉ | 3583/4000 [18:16<01:39,  4.19it/s]

train:   2%|▏         | 68/3515 [00:14<13:41,  4.19it/s]
overall:  90%|████████▉ | 3584/4000 [18:17<01:23,  5.00it/s]

train:   2%|▏         | 69/3515 [00:14<11:29,  5.00it/s]
overall:  90%|████████▉ | 3586/4000 [18:17<01:11,  5.83it/s]

train:   2%|▏         | 71/3515 [00:15<09:50,  5.83it/s]
overall:  90%|████████▉ | 3587/4000 [18:17<01:13,  5.58it/s]

train:   2%|▏         | 72/3515 [00:15<10:16,  5.58it/s]
overall:  90%|████████▉ | 3588/4000 [18:17<01:24,  4.90it/s]

train:   2%|▏         | 73/3515 [00:15<11:42,  4.90it/s]
overall:  90%|████████▉ | 3589/4000 [18:18<01:25,  4.83it/s]

train:   2%|▏         | 74/3515 [00:15<11:53,  4.82it/s]
overall:  90%|████████▉ | 3590/4000 [18:18<01:25,  4.77it/s]

train:   2%|▏         | 75/3515 [00:16<12:01,  4.77it/s]
overall:  90%|████████▉ | 3591/4000 [18:18<01:22,  4.95it/s]

train:   2%|▏         | 76/3515 [00:16<11:34,  4.95it/s]
overall:  90%|████████▉ | 3592/4000 [18:18<01:20,  5.09it/s]

train:   2%|▏         | 77/3515 [00:16<11:15,  5.09it/s]
overall:  90%|████████▉ | 3593/4000 [18:18<01:22,  4.93it/s]

train:   2%|▏         | 78/3515 [00:16<11:36,  4.93it/s]
overall:  90%|████████▉ | 3594/4000 [18:19<01:22,  4.95it/s]

train:   2%|▏         | 79/3515 [00:16<11:34,  4.95it/s]
overall:  90%|████████▉ | 3595/4000 [18:19<01:27,  4.61it/s]

train:   2%|▏         | 80/3515 [00:17<12:25,  4.61it/s]
overall:  90%|████████▉ | 3596/4000 [18:19<01:24,  4.79it/s]

train:   2%|▏         | 81/3515 [00:17<11:56,  4.79it/s]
overall:  90%|████████▉ | 3597/4000 [18:19<01:24,  4.74it/s]

train:   2%|▏         | 82/3515 [00:17<12:04,  4.74it/s]
overall:  90%|████████▉ | 3598/4000 [18:19<01:22,  4.86it/s]

train:   2%|▏         | 83/3515 [00:17<11:45,  4.86it/s]
overall:  90%|████████▉ | 3599/4000 [18:20<01:18,  5.11it/s]

train:   2%|▏         | 84/3515 [00:17<11:11,  5.11it/s]
overall:  90%|█████████ | 3600/4000 [18:20<01:31,  4.38it/s]

train:   2%|▏         | 85/3515 [00:18<13:03,  4.38it/s]
overall:  90%|█████████ | 3601/4000 [18:20<01:30,  4.43it/s]

train:   2%|▏         | 86/3515 [00:18<12:54,  4.43it/s]
overall:  90%|█████████ | 3602/4000 [18:20<01:27,  4.55it/s]

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overall:  90%|█████████ | 3603/4000 [18:20<01:26,  4.58it/s]

train:   3%|▎         | 88/3515 [00:18<12:27,  4.58it/s]
overall:  90%|█████████ | 3604/4000 [18:21<01:25,  4.64it/s]

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overall:  90%|█████████ | 3606/4000 [18:21<01:06,  5.91it/s]

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overall:  90%|█████████ | 3607/4000 [18:21<01:21,  4.84it/s]

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overall:  90%|█████████ | 3608/4000 [18:21<01:16,  5.10it/s]

train:   3%|▎         | 93/3515 [00:19<11:10,  5.10it/s]
overall:  90%|█████████ | 3609/4000 [18:22<01:17,  5.07it/s]

train:   3%|▎         | 94/3515 [00:19<11:14,  5.07it/s]
overall:  90%|█████████ | 3610/4000 [18:22<01:17,  5.02it/s]

train:   3%|▎         | 95/3515 [00:20<11:21,  5.02it/s]
overall:  90%|█████████ | 3611/4000 [18:22<01:19,  4.92it/s]

train:   3%|▎         | 96/3515 [00:20<11:34,  4.92it/s]
overall:  90%|█████████ | 3612/4000 [18:22<01:28,  4.39it/s]

train:   3%|▎         | 97/3515 [00:20<12:59,  4.39it/s]
overall:  90%|█████████ | 3613/4000 [18:22<01:24,  4.56it/s]

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overall:  90%|█████████ | 3614/4000 [18:23<01:23,  4.64it/s]

train:   3%|▎         | 99/3515 [00:21<12:15,  4.64it/s]
overall:  90%|█████████ | 3615/4000 [18:23<01:22,  4.66it/s]

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overall:  90%|█████████ | 3616/4000 [18:23<01:23,  4.62it/s]

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overall:  92%|█████████▏| 3695/4000 [18:39<00:59,  5.12it/s]

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train:  13%|█▎        | 463/3515 [01:36<09:40,  5.25it/s]
overall:  99%|█████████▉| 3979/4000 [19:39<00:04,  4.41it/s]

train:  13%|█▎        | 464/3515 [01:37<11:32,  4.41it/s]
overall: 100%|█████████▉| 3980/4000 [19:39<00:04,  4.35it/s]

train:  13%|█▎        | 465/3515 [01:37<11:41,  4.35it/s]
overall: 100%|█████████▉| 3981/4000 [19:39<00:04,  4.43it/s]

train:  13%|█▎        | 466/3515 [01:37<11:27,  4.43it/s]
overall: 100%|█████████▉| 3982/4000 [19:39<00:03,  4.64it/s]

train:  13%|█▎        | 467/3515 [01:37<10:56,  4.64it/s]
overall: 100%|█████████▉| 3983/4000 [19:40<00:03,  4.62it/s]

train:  13%|█▎        | 468/3515 [01:38<10:59,  4.62it/s]
overall: 100%|█████████▉| 3984/4000 [19:40<00:03,  4.11it/s]

train:  13%|█▎        | 469/3515 [01:38<12:21,  4.11it/s]
overall: 100%|█████████▉| 3985/4000 [19:40<00:03,  4.37it/s]

train:  13%|█▎        | 470/3515 [01:38<11:37,  4.37it/s]
overall: 100%|█████████▉| 3986/4000 [19:40<00:03,  4.45it/s]

train:  13%|█▎        | 471/3515 [01:38<11:24,  4.45it/s]
overall: 100%|█████████▉| 3987/4000 [19:41<00:02,  4.84it/s]

train:  13%|█▎        | 472/3515 [01:38<10:29,  4.84it/s]
overall: 100%|█████████▉| 3988/4000 [19:41<00:02,  4.74it/s]

train:  13%|█▎        | 473/3515 [01:39<10:41,  4.74it/s]
overall: 100%|█████████▉| 3989/4000 [19:41<00:02,  4.68it/s]

train:  13%|█▎        | 474/3515 [01:39<10:50,  4.68it/s]
overall: 100%|█████████▉| 3990/4000 [19:41<00:02,  4.62it/s]

train:  14%|█▎        | 475/3515 [01:39<10:58,  4.62it/s]
overall: 100%|█████████▉| 3991/4000 [19:42<00:02,  4.11it/s]

train:  14%|█▎        | 476/3515 [01:39<12:18,  4.11it/s]
overall: 100%|█████████▉| 3993/4000 [19:42<00:01,  4.93it/s]

train:  14%|█▎        | 478/3515 [01:40<10:16,  4.93it/s]
overall: 100%|█████████▉| 3994/4000 [19:42<00:01,  5.17it/s]

train:  14%|█▎        | 479/3515 [01:40<09:47,  5.17it/s]
overall: 100%|█████████▉| 3996/4000 [19:42<00:00,  5.23it/s]

train:  14%|█▎        | 481/3515 [01:40<09:40,  5.23it/s]
overall: 100%|█████████▉| 3997/4000 [19:43<00:00,  5.13it/s]

train:  14%|█▎        | 482/3515 [01:40<09:51,  5.13it/s]
overall: 100%|█████████▉| 3998/4000 [19:43<00:00,  4.99it/s]

train:  14%|█▎        | 483/3515 [01:41<10:07,  4.99it/s]
overall: 100%|█████████▉| 3999/4000 [19:43<00:00,  5.02it/s]

train:  14%|█▍        | 484/3515 [01:41<10:03,  5.02it/s]train loss: 2.2085719108581543
train per: 0.5953261089730606
train loss: 2.1764721870422363
train per: 0.5927899595236015
train loss: 2.1854803562164307
train per: 0.594913830410101
train loss: 2.237873077392578
train per: 0.5997399527186761
train loss: 2.2022974491119385
train per: 0.5986002992114005
train loss: 2.201859951019287
train per: 0.5961347623300586
train loss: 2.2031712532043457
train per: 0.5928169822145726
train loss: 2.1776323318481445
train per: 0.5925774669457349
train loss: 2.194157838821411
train per: 0.6075759119625026
train loss: 2.198392391204834
train per: 0.5983530383602664
train loss: 2.2130417823791504
train per: 0.5998282189427657
train loss: 2.245755910873413
train per: 0.6010486390004462
train loss: 2.1667160987854004
train per: 0.5878764965343415
train loss: 2.190965175628662
train per: 0.5923934323527108
train loss: 2.2334582805633545
train per: 0.6038875890263029
train loss: 2.176142930984497
train per: 0.5912864650773098
train loss: 2.179116725921631
train per: 0.5975075119452243
train loss: 2.1886255741119385
train per: 0.5943100251937063
train loss: 2.2048802375793457
train per: 0.5950560023683821
train loss: 2.196941614151001
train per: 0.590863418623671
train loss: 2.180546522140503
train per: 0.5963319088319088
train loss: 2.192784070968628
train per: 0.5919258769027135
train loss: 2.212385892868042
train per: 0.5952908653273278
train loss: 2.1841835975646973
train per: 0.5944368799844388
train loss: 2.1764445304870605
train per: 0.5885470847575173
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



word -> phonemes:   0%|          | 0/2703 [00:00<?, ?it/s]


word -> phonemes:  11%|█         | 285/2703 [00:00<00:00, 2846.61it/s]


word -> phonemes:  21%|██        | 570/2703 [00:00<00:00, 2619.52it/s]


word -> phonemes:  32%|███▏      | 871/2703 [00:00<00:00, 2788.69it/s]


word -> phonemes:  43%|████▎     | 1152/2703 [00:00<00:00, 2693.53it/s]


word -> phonemes:  53%|█████▎    | 1423/2703 [00:00<00:00, 2435.75it/s]


word -> phonemes:  62%|██████▏   | 1671/2703 [00:00<00:00, 2393.12it/s]


word -> phonemes:  73%|███████▎  | 1978/2703 [00:00<00:00, 2595.46it/s]


word -> phonemes:  83%|████████▎ | 2253/2703 [00:00<00:00, 2640.83it/s]


word -> phonemes:  95%|█████████▍| 2560/2703 [00:00<00:00, 2767.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2670.13it/s]



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overall: 100%|█████████▉| 3999/4000 [21:42<00:00,  5.02it/s]

train:  14%|█▍        | 484/3515 [03:40<10:03,  5.02it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:42<00:00,  5.02it/s]

train:  14%|█▍        | 484/3515 [03:40<10:03,  5.02it/s]
overall: 100%|██████████| 4000/4000 [21:42<00:00, 32.43s/it]

train:  14%|█▍        | 485/3515 [03:40<27:17:35, 32.43s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:40<22:59,  2.20it/s]   

overall: 100%|██████████| 4000/4000 [21:43<00:00,  3.07it/s]
dev loss: 2.472470283508301
dev per: 0.6315400624349636
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt