/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")
/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_speech_test {'model_config': None, 'refresh': False}
Loading model from Local mert_speech_test
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]

word -> phonemes:  10%|▉         | 337/3515 [00:00<00:00, 3296.40it/s]

word -> phonemes:  19%|█▉        | 667/3515 [00:00<00:01, 1573.57it/s]

word -> phonemes:  25%|██▍       | 871/3515 [00:00<00:01, 1376.49it/s]

word -> phonemes:  29%|██▉       | 1032/3515 [00:00<00:01, 1255.31it/s]

word -> phonemes:  33%|███▎      | 1170/3515 [00:00<00:01, 1180.14it/s]

word -> phonemes:  40%|███▉      | 1395/3515 [00:00<00:01, 1432.74it/s]

word -> phonemes:  49%|████▉     | 1724/3515 [00:01<00:00, 1901.25it/s]

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word -> phonemes:  65%|██████▍   | 2270/3515 [00:01<00:00, 2275.92it/s]

word -> phonemes:  74%|███████▍  | 2597/3515 [00:01<00:00, 2551.67it/s]

word -> phonemes:  82%|████████▏ | 2866/3515 [00:01<00:00, 2107.42it/s]

word -> phonemes:  91%|█████████ | 3199/3515 [00:01<00:00, 2410.63it/s]

word -> phonemes:  99%|█████████▉| 3483/3515 [00:01<00:00, 2521.69it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 1978.48it/s]


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train:   4%|▍         | 158/3515 [00:33<10:56,  5.11it/s]
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train:   5%|▍         | 159/3515 [00:33<11:19,  4.94it/s]
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train:   5%|▌         | 180/3515 [00:38<12:00,  4.63it/s]
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train:   5%|▌         | 181/3515 [00:38<11:49,  4.70it/s]
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train:   5%|▌         | 184/3515 [00:38<10:17,  5.40it/s]
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train:   5%|▌         | 185/3515 [00:39<10:23,  5.34it/s]
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train:   5%|▌         | 187/3515 [00:39<10:52,  5.10it/s]
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overall:  13%|█▎        | 502/4000 [01:50<12:13,  4.77it/s]

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overall:  13%|█▎        | 503/4000 [01:50<12:10,  4.79it/s]

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overall:  13%|█▎        | 506/4000 [01:51<13:04,  4.46it/s]

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overall:  13%|█▎        | 511/4000 [01:52<13:05,  4.44it/s]

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overall:  13%|█▎        | 518/4000 [01:53<11:28,  5.06it/s]

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overall:  13%|█▎        | 519/4000 [01:54<11:48,  4.91it/s]

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overall:  13%|█▎        | 520/4000 [01:54<12:06,  4.79it/s]

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overall:  13%|█▎        | 526/4000 [01:55<11:59,  4.83it/s]

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overall:  13%|█▎        | 527/4000 [01:55<11:54,  4.86it/s]

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overall:  13%|█▎        | 528/4000 [01:56<11:49,  4.89it/s]

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overall:  13%|█▎        | 529/4000 [01:56<14:02,  4.12it/s]

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overall:  13%|█▎        | 530/4000 [01:56<14:38,  3.95it/s]

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overall:  13%|█▎        | 531/4000 [01:56<13:42,  4.22it/s]

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overall:  13%|█▎        | 532/4000 [01:57<13:14,  4.37it/s]

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overall:  13%|█▎        | 533/4000 [01:57<13:06,  4.41it/s]

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overall:  13%|█▎        | 534/4000 [01:57<11:22,  5.08it/s]

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overall:  13%|█▎        | 535/4000 [01:57<12:58,  4.45it/s]

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overall:  13%|█▎        | 536/4000 [01:57<11:57,  4.83it/s]

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overall:  13%|█▎        | 537/4000 [01:58<12:25,  4.65it/s]

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overall:  13%|█▎        | 538/4000 [01:58<11:36,  4.97it/s]

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overall:  13%|█▎        | 539/4000 [01:58<11:56,  4.83it/s]

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overall:  14%|█▎        | 540/4000 [01:58<12:02,  4.79it/s]

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overall:  14%|█▎        | 541/4000 [01:58<12:08,  4.75it/s]

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overall:  14%|█▎        | 542/4000 [01:59<12:15,  4.70it/s]

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overall:  14%|█▎        | 543/4000 [01:59<12:02,  4.78it/s]

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overall:  14%|█▎        | 544/4000 [01:59<12:04,  4.77it/s]

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overall:  14%|█▎        | 545/4000 [01:59<12:03,  4.78it/s]

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overall:  14%|█▎        | 546/4000 [01:59<12:12,  4.72it/s]

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overall:  14%|█▎        | 547/4000 [02:00<11:50,  4.86it/s]

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overall:  14%|█▎        | 548/4000 [02:00<11:45,  4.89it/s]

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overall:  14%|█▎        | 549/4000 [02:00<11:53,  4.84it/s]

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overall:  14%|█▍        | 550/4000 [02:00<11:38,  4.94it/s]

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overall:  14%|█▍        | 551/4000 [02:00<11:50,  4.85it/s]

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overall:  14%|█▍        | 552/4000 [02:01<12:11,  4.72it/s]

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overall:  14%|█▍        | 553/4000 [02:01<14:26,  3.98it/s]

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overall:  14%|█▍        | 554/4000 [02:01<14:58,  3.83it/s]

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overall:  14%|█▍        | 555/4000 [02:02<14:09,  4.05it/s]

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overall:  14%|█▍        | 556/4000 [02:02<13:37,  4.21it/s]

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overall:  14%|█▍        | 557/4000 [02:02<12:41,  4.52it/s]

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overall:  14%|█▍        | 558/4000 [02:02<12:27,  4.60it/s]

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overall:  14%|█▍        | 559/4000 [02:02<13:24,  4.28it/s]

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overall:  14%|█▍        | 560/4000 [02:03<13:06,  4.37it/s]

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overall:  14%|█▍        | 561/4000 [02:03<12:44,  4.50it/s]

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overall:  14%|█▍        | 562/4000 [02:03<13:13,  4.34it/s]

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overall:  14%|█▍        | 563/4000 [02:03<13:04,  4.38it/s]

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overall:  14%|█▍        | 565/4000 [02:04<12:29,  4.58it/s]

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overall:  14%|█▍        | 566/4000 [02:04<12:22,  4.63it/s]

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overall:  14%|█▍        | 568/4000 [02:04<11:37,  4.92it/s]

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overall:  14%|█▍        | 569/4000 [02:05<11:47,  4.85it/s]

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overall:  14%|█▍        | 571/4000 [02:05<09:17,  6.15it/s]

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overall:  14%|█▍        | 572/4000 [02:05<09:59,  5.72it/s]

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overall:  14%|█▍        | 574/4000 [02:05<10:45,  5.31it/s]

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overall:  14%|█▍        | 576/4000 [02:06<10:32,  5.41it/s]

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overall:  15%|█▍        | 587/4000 [02:08<13:01,  4.37it/s]

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overall:  15%|█▍        | 588/4000 [02:09<13:28,  4.22it/s]

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train:  28%|██▊       | 985/3515 [03:29<09:56,  4.24it/s]
overall:  25%|██▍       | 986/4000 [03:34<12:22,  4.06it/s]

train:  28%|██▊       | 986/3515 [03:30<10:22,  4.06it/s]
overall:  25%|██▍       | 987/4000 [03:34<11:40,  4.30it/s]

train:  28%|██▊       | 987/3515 [03:30<09:47,  4.30it/s]
overall:  25%|██▍       | 988/4000 [03:34<11:26,  4.39it/s]

train:  28%|██▊       | 988/3515 [03:30<09:35,  4.39it/s]
overall:  25%|██▍       | 989/4000 [03:34<11:14,  4.46it/s]

train:  28%|██▊       | 989/3515 [03:30<09:25,  4.46it/s]
overall:  25%|██▍       | 990/4000 [03:35<11:00,  4.56it/s]

train:  28%|██▊       | 990/3515 [03:31<09:14,  4.56it/s]
overall:  25%|██▍       | 991/4000 [03:35<12:44,  3.93it/s]

train:  28%|██▊       | 991/3515 [03:31<10:41,  3.93it/s]
overall:  25%|██▍       | 992/4000 [03:35<14:41,  3.41it/s]

train:  28%|██▊       | 992/3515 [03:31<12:19,  3.41it/s]
overall:  25%|██▍       | 993/4000 [03:35<13:27,  3.72it/s]

train:  28%|██▊       | 993/3515 [03:31<11:17,  3.72it/s]
overall:  25%|██▍       | 994/4000 [03:36<12:39,  3.96it/s]

train:  28%|██▊       | 994/3515 [03:32<10:36,  3.96it/s]
overall:  25%|██▍       | 995/4000 [03:36<12:16,  4.08it/s]

train:  28%|██▊       | 995/3515 [03:32<10:17,  4.08it/s]
overall:  25%|██▍       | 996/4000 [03:36<11:12,  4.47it/s]

train:  28%|██▊       | 996/3515 [03:32<09:23,  4.47it/s]
overall:  25%|██▍       | 997/4000 [03:36<11:03,  4.53it/s]

train:  28%|██▊       | 997/3515 [03:32<09:16,  4.53it/s]
overall:  25%|██▍       | 998/4000 [03:36<10:54,  4.59it/s]

train:  28%|██▊       | 998/3515 [03:32<09:08,  4.59it/s]
overall:  25%|██▍       | 999/4000 [03:37<10:31,  4.75it/s]

train:  28%|██▊       | 999/3515 [03:33<08:49,  4.75it/s]train loss: 3.636141538619995
train per: 0.8944576893198682
train loss: 2.0965702533721924
train per: 0.5416229763944657
train loss: 1.80061936378479
train per: 0.4676946239908626
train loss: 1.7174046039581299
train per: 0.44360691639715805
train loss: 1.698285698890686
train per: 0.44516413613780936
train loss: 1.6048574447631836
train per: 0.4328851841892982
train loss: 1.568609595298767
train per: 0.41845545906917747
train loss: 1.6427720785140991
train per: 0.43146061443605827
train loss: 1.5406080484390259
train per: 0.41053963310787794
train loss: 1.4923148155212402
train per: 0.39208002192381475
train loss: 1.5096628665924072
train per: 0.409941813011769
train loss: 1.5112563371658325
train per: 0.4005301754038252
train loss: 1.5687129497528076
train per: 0.4105250765246056
train loss: 1.5352532863616943
train per: 0.40227542496248686
train loss: 1.448180913925171
train per: 0.3860987497351134
train loss: 1.4817761182785034
train per: 0.39355514192647745
train loss: 1.4496934413909912
train per: 0.39001937984496127
train loss: 1.434588074684143
train per: 0.39103442490002516
train loss: 1.495347499847412
train per: 0.3982096130009641
train loss: 1.418471097946167
train per: 0.3824329087155732
train loss: 1.4243443012237549
train per: 0.38104515524427235
train loss: 1.477721095085144
train per: 0.3900650443255732
train loss: 1.5077974796295166
train per: 0.3931222275901445
train loss: 1.4813563823699951
train per: 0.3948600936711901
train loss: 1.4590628147125244
train per: 0.38407864817869725
train loss: 1.3984862565994263
train per: 0.37358295674628794
train loss: 1.4563896656036377
train per: 0.3819006309148265
train loss: 1.4220404624938965
train per: 0.37830633586221035
train loss: 1.4309544563293457
train per: 0.379953989333891
train loss: 1.4411842823028564
train per: 0.3858810661720998
train loss: 1.461411476135254
train per: 0.381295482383457
train loss: 1.4023576974868774
train per: 0.3688580806348895
train loss: 1.4543156623840332
train per: 0.38485704599389764
train loss: 1.4152041673660278
train per: 0.37825476846317757
train loss: 1.4116061925888062
train per: 0.3789456468407567
train loss: 1.4114906787872314
train per: 0.3881094352858646
train loss: 1.4829213619232178
train per: 0.38737217374988275
train loss: 1.4748167991638184
train per: 0.3867437936852254
train loss: 1.4560295343399048
train per: 0.3857571140708704
train loss: 1.460611343383789
train per: 0.38705005722828245
train loss: 1.39938223361969
train per: 0.3782631718294943
train loss: 1.3987789154052734
train per: 0.37568955158665135
train loss: 1.4293992519378662
train per: 0.37511225144323285
train loss: 1.4515838623046875
train per: 0.3880397160253657
train loss: 1.3970285654067993
train per: 0.37027879399520625
train loss: 1.442420244216919
train per: 0.38198445358939187
train loss: 1.426686406135559
train per: 0.3848241985522234
train loss: 1.426964521408081
train per: 0.3802543127885316
train loss: 1.4166009426116943
train per: 0.3774376179492556
train loss: 1.3794121742248535
train per: 0.369444375818366
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 480/2703 [00:00<00:00, 4794.39it/s]


word -> phonemes:  36%|███▌      | 960/2703 [00:00<00:00, 3925.31it/s]


word -> phonemes:  50%|█████     | 1363/2703 [00:00<00:00, 3701.19it/s]


word -> phonemes:  64%|██████▍   | 1738/2703 [00:00<00:00, 3512.27it/s]


word -> phonemes:  77%|███████▋  | 2092/2703 [00:00<00:00, 3232.34it/s]


word -> phonemes:  89%|████████▉ | 2419/2703 [00:00<00:00, 3236.49it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3412.47it/s]



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overall:  48%|████▊     | 1938/4000 [08:52<06:52,  5.00it/s]

train:  55%|█████▌    | 1938/3515 [08:48<05:15,  4.99it/s]
overall:  48%|████▊     | 1939/4000 [08:52<07:10,  4.78it/s]

train:  55%|█████▌    | 1939/3515 [08:48<05:29,  4.78it/s]
overall:  48%|████▊     | 1940/4000 [08:52<07:10,  4.78it/s]

train:  55%|█████▌    | 1940/3515 [08:48<05:29,  4.78it/s]
overall:  49%|████▊     | 1941/4000 [08:52<07:00,  4.90it/s]

train:  55%|█████▌    | 1941/3515 [08:48<05:21,  4.90it/s]
overall:  49%|████▊     | 1942/4000 [08:52<07:06,  4.82it/s]

train:  55%|█████▌    | 1942/3515 [08:48<05:26,  4.82it/s]
overall:  49%|████▊     | 1943/4000 [08:53<07:27,  4.60it/s]

train:  55%|█████▌    | 1943/3515 [08:49<05:41,  4.60it/s]
overall:  49%|████▊     | 1945/4000 [08:53<06:36,  5.18it/s]

train:  55%|█████▌    | 1945/3515 [08:49<05:03,  5.18it/s]
overall:  49%|████▊     | 1946/4000 [08:53<06:52,  4.97it/s]

train:  55%|█████▌    | 1946/3515 [08:49<05:15,  4.97it/s]
overall:  49%|████▊     | 1948/4000 [08:54<06:16,  5.45it/s]

train:  55%|█████▌    | 1948/3515 [08:50<04:47,  5.45it/s]
overall:  49%|████▊     | 1949/4000 [08:54<06:40,  5.12it/s]

train:  55%|█████▌    | 1949/3515 [08:50<05:05,  5.12it/s]
overall:  49%|████▉     | 1950/4000 [08:54<06:57,  4.91it/s]

train:  55%|█████▌    | 1950/3515 [08:50<05:18,  4.91it/s]
overall:  49%|████▉     | 1951/4000 [08:54<07:03,  4.83it/s]

train:  56%|█████▌    | 1951/3515 [08:50<05:23,  4.83it/s]
overall:  49%|████▉     | 1952/4000 [08:55<10:09,  3.36it/s]

train:  56%|█████▌    | 1952/3515 [08:51<07:45,  3.36it/s]
overall:  49%|████▉     | 1953/4000 [08:55<09:26,  3.61it/s]

train:  56%|█████▌    | 1953/3515 [08:51<07:12,  3.61it/s]
overall:  49%|████▉     | 1954/4000 [08:55<08:53,  3.83it/s]

train:  56%|█████▌    | 1954/3515 [08:51<06:47,  3.83it/s]
overall:  49%|████▉     | 1955/4000 [08:55<08:41,  3.92it/s]

train:  56%|█████▌    | 1955/3515 [08:51<06:37,  3.92it/s]
overall:  49%|████▉     | 1956/4000 [08:56<08:11,  4.16it/s]

train:  56%|█████▌    | 1956/3515 [08:52<06:14,  4.16it/s]
overall:  49%|████▉     | 1957/4000 [08:56<07:54,  4.30it/s]

train:  56%|█████▌    | 1957/3515 [08:52<06:01,  4.30it/s]
overall:  49%|████▉     | 1958/4000 [08:56<07:53,  4.31it/s]

train:  56%|█████▌    | 1958/3515 [08:52<06:01,  4.31it/s]
overall:  49%|████▉     | 1959/4000 [08:56<07:46,  4.37it/s]

train:  56%|█████▌    | 1959/3515 [08:52<05:56,  4.37it/s]
overall:  49%|████▉     | 1960/4000 [08:57<07:46,  4.38it/s]

train:  56%|█████▌    | 1960/3515 [08:53<05:55,  4.38it/s]
overall:  49%|████▉     | 1961/4000 [08:57<07:48,  4.35it/s]

train:  56%|█████▌    | 1961/3515 [08:53<05:57,  4.35it/s]
overall:  49%|████▉     | 1962/4000 [08:57<07:45,  4.37it/s]

train:  56%|█████▌    | 1962/3515 [08:53<05:55,  4.37it/s]
overall:  49%|████▉     | 1963/4000 [08:57<07:44,  4.38it/s]

train:  56%|█████▌    | 1963/3515 [08:53<05:54,  4.38it/s]
overall:  49%|████▉     | 1964/4000 [08:57<07:27,  4.55it/s]

train:  56%|█████▌    | 1964/3515 [08:53<05:40,  4.55it/s]
overall:  49%|████▉     | 1965/4000 [08:58<07:34,  4.48it/s]

train:  56%|█████▌    | 1965/3515 [08:54<05:45,  4.48it/s]
overall:  49%|████▉     | 1966/4000 [08:58<07:20,  4.62it/s]

train:  56%|█████▌    | 1966/3515 [08:54<05:35,  4.62it/s]
overall:  49%|████▉     | 1967/4000 [08:58<07:06,  4.76it/s]

train:  56%|█████▌    | 1967/3515 [08:54<05:24,  4.76it/s]
overall:  49%|████▉     | 1968/4000 [08:58<06:54,  4.90it/s]

train:  56%|█████▌    | 1968/3515 [08:54<05:15,  4.90it/s]
overall:  49%|████▉     | 1969/4000 [08:58<07:05,  4.78it/s]

train:  56%|█████▌    | 1969/3515 [08:54<05:23,  4.78it/s]
overall:  49%|████▉     | 1970/4000 [08:59<07:14,  4.67it/s]

train:  56%|█████▌    | 1970/3515 [08:55<05:30,  4.67it/s]
overall:  49%|████▉     | 1971/4000 [08:59<07:18,  4.63it/s]

train:  56%|█████▌    | 1971/3515 [08:55<05:33,  4.63it/s]
overall:  49%|████▉     | 1972/4000 [08:59<07:22,  4.59it/s]

train:  56%|█████▌    | 1972/3515 [08:55<05:36,  4.59it/s]
overall:  49%|████▉     | 1973/4000 [08:59<07:20,  4.60it/s]

train:  56%|█████▌    | 1973/3515 [08:55<05:35,  4.60it/s]
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train:  56%|█████▌    | 1974/3515 [08:56<05:36,  4.58it/s]
overall:  49%|████▉     | 1975/4000 [09:00<07:30,  4.49it/s]

train:  56%|█████▌    | 1975/3515 [08:56<05:42,  4.49it/s]
overall:  49%|████▉     | 1976/4000 [09:00<10:37,  3.18it/s]

train:  56%|█████▌    | 1976/3515 [08:56<08:04,  3.18it/s]
overall:  49%|████▉     | 1977/4000 [09:01<09:43,  3.47it/s]

train:  56%|█████▌    | 1977/3515 [08:57<07:23,  3.47it/s]
overall:  49%|████▉     | 1978/4000 [09:01<08:56,  3.77it/s]

train:  56%|█████▋    | 1978/3515 [08:57<06:47,  3.77it/s]
overall:  49%|████▉     | 1979/4000 [09:01<08:17,  4.06it/s]

train:  56%|█████▋    | 1979/3515 [08:57<06:18,  4.06it/s]
overall:  50%|████▉     | 1980/4000 [09:01<08:05,  4.16it/s]

train:  56%|█████▋    | 1980/3515 [08:57<06:09,  4.16it/s]
overall:  50%|████▉     | 1981/4000 [09:01<07:24,  4.54it/s]

train:  56%|█████▋    | 1981/3515 [08:57<05:38,  4.54it/s]
overall:  50%|████▉     | 1982/4000 [09:02<07:10,  4.69it/s]

train:  56%|█████▋    | 1982/3515 [08:58<05:27,  4.69it/s]
overall:  50%|████▉     | 1984/4000 [09:02<06:20,  5.30it/s]

train:  56%|█████▋    | 1984/3515 [08:58<04:48,  5.30it/s]
overall:  50%|████▉     | 1985/4000 [09:02<06:33,  5.12it/s]

train:  56%|█████▋    | 1985/3515 [08:58<04:58,  5.12it/s]
overall:  50%|████▉     | 1986/4000 [09:02<05:52,  5.71it/s]

train:  57%|█████▋    | 1986/3515 [08:58<04:27,  5.71it/s]
overall:  50%|████▉     | 1987/4000 [09:02<06:10,  5.43it/s]

train:  57%|█████▋    | 1987/3515 [08:58<04:41,  5.43it/s]
overall:  50%|████▉     | 1988/4000 [09:03<06:33,  5.11it/s]

train:  57%|█████▋    | 1988/3515 [08:59<04:58,  5.11it/s]
overall:  50%|████▉     | 1989/4000 [09:03<06:47,  4.94it/s]

train:  57%|█████▋    | 1989/3515 [08:59<05:08,  4.94it/s]
overall:  50%|████▉     | 1990/4000 [09:03<06:59,  4.79it/s]

train:  57%|█████▋    | 1990/3515 [08:59<05:18,  4.79it/s]
overall:  50%|████▉     | 1991/4000 [09:03<07:10,  4.66it/s]

train:  57%|█████▋    | 1991/3515 [08:59<05:26,  4.66it/s]
overall:  50%|████▉     | 1992/4000 [09:03<06:16,  5.34it/s]

train:  57%|█████▋    | 1992/3515 [08:59<04:45,  5.34it/s]
overall:  50%|████▉     | 1993/4000 [09:04<06:40,  5.01it/s]

train:  57%|█████▋    | 1993/3515 [09:00<05:04,  5.01it/s]
overall:  50%|████▉     | 1994/4000 [09:04<06:46,  4.93it/s]

train:  57%|█████▋    | 1994/3515 [09:00<05:08,  4.93it/s]
overall:  50%|████▉     | 1995/4000 [09:04<06:55,  4.83it/s]

train:  57%|█████▋    | 1995/3515 [09:00<05:15,  4.83it/s]
overall:  50%|████▉     | 1996/4000 [09:04<07:09,  4.67it/s]

train:  57%|█████▋    | 1996/3515 [09:00<05:25,  4.67it/s]
overall:  50%|████▉     | 1997/4000 [09:05<07:14,  4.61it/s]

train:  57%|█████▋    | 1997/3515 [09:01<05:29,  4.61it/s]
overall:  50%|████▉     | 1998/4000 [09:05<07:09,  4.66it/s]

train:  57%|█████▋    | 1998/3515 [09:01<05:25,  4.66it/s]
overall:  50%|████▉     | 1999/4000 [09:05<07:17,  4.57it/s]

train:  57%|█████▋    | 1999/3515 [09:01<05:31,  4.57it/s]dev loss: 1.7118091583251953
dev per: 0.42432362122788764
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.4263193607330322
train per: 0.38194356733271023
train loss: 1.379679799079895
train per: 0.37988686360779383
train loss: 1.4775042533874512
train per: 0.38819989057085535
train loss: 1.3930518627166748
train per: 0.3819889625954624
train loss: 1.4768913984298706
train per: 0.38777393310265285
train loss: 1.4356626272201538
train per: 0.38298669664605584
train loss: 1.4003633260726929
train per: 0.37869914485618034
train loss: 1.4101066589355469
train per: 0.3705982820113528
train loss: 1.4305659532546997
train per: 0.3821552833516038
train loss: 1.4119211435317993
train per: 0.37895780084502634
train loss: 1.430137276649475
train per: 0.3748644970823627
train loss: 1.3825675249099731
train per: 0.3686778416501618
train loss: 1.4261651039123535
train per: 0.3765375854214123
train loss: 1.3552567958831787
train per: 0.3646526853084776
train loss: 1.4033867120742798
train per: 0.37746228500048046
train loss: 1.4648358821868896
train per: 0.3862075683046803
train loss: 1.4431564807891846
train per: 0.38550790581276306
train loss: 1.3820199966430664
train per: 0.3731251571097394
train loss: 1.3959976434707642
train per: 0.3721442833804424
train loss: 1.4145750999450684
train per: 0.3726507552173412
train loss: 1.3964663743972778
train per: 0.3784254557052084
train loss: 1.3810465335845947
train per: 0.3689827817804372
train loss: 1.35894775390625
train per: 0.3701231624950338
train loss: 1.4382188320159912
train per: 0.381198935968079
train loss: 1.4725549221038818
train per: 0.39503413425329803
train loss: 1.4371824264526367
train per: 0.3815759246496669
train loss: 1.3771202564239502
train per: 0.37060253985409347
train loss: 1.4668223857879639
train per: 0.38824086123269846
train loss: 1.419334053993225
train per: 0.373921582380585
train loss: 1.4265944957733154
train per: 0.3786472311821338
train loss: 1.4038467407226562
train per: 0.37386174169552394
train loss: 1.436331033706665
train per: 0.38415894555093505
train loss: 1.4222962856292725
train per: 0.3773985239852399
train loss: 1.411420226097107
train per: 0.37870578613780415
train loss: 1.3622324466705322
train per: 0.3654751273201226
train loss: 1.365656852722168
train per: 0.3811046423938946
train loss: 1.402388334274292
train per: 0.3811053302187301
train loss: 1.3832414150238037
train per: 0.37377472268407075
train loss: 1.3678230047225952
train per: 0.3745984209093384
train loss: 1.4648973941802979
train per: 0.3838740987243483
train loss: 1.430631160736084
train per: 0.3731735827001753
train loss: 1.4192652702331543
train per: 0.37787378490973617
train loss: 1.4180934429168701
train per: 0.37694184425413263
train loss: 1.3637802600860596
train per: 0.36671201128577186
train loss: 1.4182384014129639
train per: 0.3763028994591081
train loss: 1.3964545726776123
train per: 0.3740394655814078
train loss: 1.3910771608352661
train per: 0.37065378900445767
train loss: 1.4382094144821167
train per: 0.3755156909099337
train loss: 1.3703744411468506
train per: 0.36535436823792955
train loss: 1.4065399169921875
train per: 0.36986566622292144
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 461/2703 [00:00<00:00, 4607.10it/s]


word -> phonemes:  37%|███▋      | 987/2703 [00:00<00:00, 4988.41it/s]


word -> phonemes:  56%|█████▌    | 1518/2703 [00:00<00:00, 5134.99it/s]


word -> phonemes:  75%|███████▌  | 2032/2703 [00:00<00:00, 5007.17it/s]


word -> phonemes:  94%|█████████▎| 2534/2703 [00:00<00:00, 4725.11it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4827.19it/s]



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


dev:   0%|          | 1/2703 [00:01<50:35,  1.12s/it]


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dev:   1%|          | 17/2703 [00:02<03:17, 13.63it/s]


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dev:   1%|          | 33/2703 [00:03<02:51, 15.59it/s]


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dev:   2%|▏         | 64/2703 [00:04<02:26, 18.03it/s]


dev:   2%|▏         | 66/2703 [00:05<02:32, 17.27it/s]


dev:   3%|▎         | 68/2703 [00:05<02:35, 16.92it/s]


dev:   3%|▎         | 70/2703 [00:05<02:36, 16.81it/s]


dev:   3%|▎         | 72/2703 [00:05<02:33, 17.11it/s]


dev:   3%|▎         | 74/2703 [00:05<02:27, 17.87it/s]


dev:   3%|▎         | 76/2703 [00:05<02:23, 18.32it/s]


dev:   3%|▎         | 78/2703 [00:05<02:24, 18.16it/s]


dev:   3%|▎         | 80/2703 [00:05<02:25, 17.99it/s]


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dev:   4%|▍         | 109/2703 [00:07<02:25, 17.88it/s]


dev:   4%|▍         | 112/2703 [00:07<02:11, 19.69it/s]


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dev:   5%|▍         | 124/2703 [00:08<02:14, 19.17it/s]


dev:   5%|▍         | 126/2703 [00:08<02:22, 18.04it/s]


dev:   5%|▍         | 128/2703 [00:08<02:23, 17.94it/s]


dev:   5%|▍         | 131/2703 [00:08<02:18, 18.59it/s]


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dev:   5%|▌         | 138/2703 [00:08<02:05, 20.36it/s]


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overall:  74%|███████▍  | 2960/4000 [14:32<04:08,  4.19it/s]

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overall:  74%|███████▍  | 2961/4000 [14:32<03:34,  4.85it/s]

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overall:  74%|███████▍  | 2963/4000 [14:32<03:51,  4.48it/s]

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train:  85%|████████▌ | 2993/3515 [14:35<02:00,  4.33it/s]
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train:  85%|████████▌ | 2994/3515 [14:35<01:55,  4.50it/s]
overall:  75%|███████▍  | 2995/4000 [14:39<03:44,  4.48it/s]

train:  85%|████████▌ | 2995/3515 [14:35<01:56,  4.48it/s]
overall:  75%|███████▍  | 2996/4000 [14:39<03:43,  4.49it/s]

train:  85%|████████▌ | 2996/3515 [14:35<01:55,  4.49it/s]
overall:  75%|███████▍  | 2997/4000 [14:40<03:42,  4.51it/s]

train:  85%|████████▌ | 2997/3515 [14:36<01:54,  4.51it/s]
overall:  75%|███████▍  | 2998/4000 [14:40<03:34,  4.67it/s]

train:  85%|████████▌ | 2998/3515 [14:36<01:50,  4.67it/s]
overall:  75%|███████▍  | 2999/4000 [14:40<04:05,  4.07it/s]

train:  85%|████████▌ | 2999/3515 [14:36<02:06,  4.07it/s]dev loss: 1.704727292060852
dev per: 0.4222112382934443
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.3540551662445068
train per: 0.3650413289895264
train loss: 1.3330999612808228
train per: 0.36609208062561954
train loss: 1.3856232166290283
train per: 0.367926823334793
train loss: 1.4205788373947144
train per: 0.3784211023027558
train loss: 1.390731692314148
train per: 0.37173218918379564
train loss: 1.378382921218872
train per: 0.36788967669397216
train loss: 1.4077723026275635
train per: 0.37106873988601985
train loss: 1.4384090900421143
train per: 0.38683393070489847
train loss: 1.3294155597686768
train per: 0.3580294990994499
train loss: 1.3683412075042725
train per: 0.36209318382020333
train loss: 1.3929531574249268
train per: 0.3731775865097488
train loss: 1.3798338174819946
train per: 0.37392922700387515
train loss: 1.4516687393188477
train per: 0.38930175363558595
train loss: 1.4200453758239746
train per: 0.37544583282785393
train loss: 1.3269383907318115
train per: 0.36306382978723406
train loss: 1.4121242761611938
train per: 0.3776594376270227
train loss: 1.3980495929718018
train per: 0.371938716737703
train loss: 1.3789806365966797
train per: 0.3707615199713599
train loss: 1.36566162109375
train per: 0.3628255440599358
train loss: 1.3760535717010498
train per: 0.3687372682499162
train loss: 1.3678351640701294
train per: 0.36867636867636866
train loss: 1.4470295906066895
train per: 0.3836469090394681
train loss: 1.4571168422698975
train per: 0.3815414537066353
train loss: 1.3776719570159912
train per: 0.3720566979064671
train loss: 1.3611249923706055
train per: 0.3666380789022298
train loss: 1.3611215353012085
train per: 0.36463495996950057
train loss: 1.3548452854156494
train per: 0.3626425518853446
train loss: 1.3736140727996826
train per: 0.3716964842438486
train loss: 1.3687189817428589
train per: 0.3673241809981662
train loss: 1.4485316276550293
train per: 0.37627095512135206
train loss: 1.336966872215271
train per: 0.3643421638468388
train loss: 1.3471843004226685
train per: 0.3667604761044125
train loss: 1.38498854637146
train per: 0.3693311582381729
train loss: 1.3691768646240234
train per: 0.3726910448883431
train loss: 1.3908300399780273
train per: 0.37009419152276296
train loss: 1.3433560132980347
train per: 0.36483207411900953
train loss: 1.4160243272781372
train per: 0.3830353840463568
train loss: 1.3532582521438599
train per: 0.36690834991943894
train loss: 1.3654539585113525
train per: 0.36622295290623674
train loss: 1.3379504680633545
train per: 0.36110346897431406
train loss: 1.3437674045562744
train per: 0.3662307960025854
train loss: 1.3722960948944092
train per: 0.38107980481662207
train loss: 1.3362581729888916
train per: 0.36566347103906854
train loss: 1.437908411026001
train per: 0.3788372570022106
train loss: 1.3472013473510742
train per: 0.36464102696826955
train loss: 1.3977787494659424
train per: 0.3715785526809149
train loss: 1.3571957349777222
train per: 0.3647943744776507
train loss: 1.4336930513381958
train per: 0.38074110962718155
train loss: 1.3744263648986816
train per: 0.37267425715079144
train loss: 1.4241418838500977
train per: 0.38623138376565735
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 517/2703 [00:00<00:00, 5165.58it/s]


word -> phonemes:  38%|███▊      | 1034/2703 [00:00<00:00, 5141.54it/s]


word -> phonemes:  57%|█████▋    | 1549/2703 [00:00<00:00, 4893.28it/s]


word -> phonemes:  78%|███████▊  | 2099/2703 [00:00<00:00, 5122.79it/s]


word -> phonemes:  97%|█████████▋| 2613/2703 [00:00<00:00, 4856.51it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4907.65it/s]



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train:  99%|█████████▉| 3491/3515 [18:22<00:05,  4.32it/s]
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overall:  87%|████████▋ | 3496/4000 [18:27<01:50,  4.55it/s]

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train:  99%|█████████▉| 3497/3515 [18:23<00:03,  5.13it/s]
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train: 100%|█████████▉| 3511/3515 [18:26<00:00,  4.73it/s]
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overall:  88%|████████▊ | 3515/4000 [18:31<01:40,  4.80it/s]

train: 100%|██████████| 3515/3515 [18:27<00:00,  4.80it/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 [18:27<00:00,  3.17it/s]
dev loss: 1.6995822191238403
dev per: 0.41955775234131115
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.3060638904571533
train per: 0.3541619727124797
train loss: 1.3646947145462036
train per: 0.36643742153812564
train loss: 1.3424761295318604
train per: 0.35932632398753894
train loss: 1.356147289276123
train per: 0.3615353596451434
train loss: 1.37428879737854
train per: 0.36726868179989114
train loss: 1.377575159072876
train per: 0.36864019498324363
train loss: 1.3339334726333618
train per: 0.3605752279252506
train loss: 1.4155170917510986
train per: 0.37472683172834464
train loss: 1.4200832843780518
train per: 0.3774618429898165
train loss: 1.3497331142425537
train per: 0.3663163900908183
train loss: 1.378011703491211
train per: 0.3727365152639244
train loss: 1.426220417022705
train per: 0.37961414336529176
train loss: 1.3340543508529663
train per: 0.3669140772424204
train loss: 1.3540306091308594
train per: 0.36551708034651037
train loss: 1.39018714427948
train per: 0.3753802374644294
train loss: 1.404923439025879
train per: 0.3697659045838937
train loss: 1.4097998142242432
train per: 0.37218561230093355
train loss: 1.3609204292297363
train per: 0.36501204314587915
train loss: 1.380849838256836
train per: 0.3748681990721215
train loss: 1.373313546180725
train per: 0.36985817529750586
train loss: 1.3940374851226807
train per: 0.38260056127221703
train loss: 1.4091174602508545
train per: 0.3748281853782515
train loss: 1.4516175985336304
train per: 0.38595066975478143
train loss: 1.388771414756775
train per: 0.3768309580364212
train loss: 1.4179718494415283
train per: 0.37216278135997544
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   9%|▊         | 303/3515 [00:00<00:01, 3029.19it/s]

word -> phonemes:  21%|██        | 745/3515 [00:00<00:00, 3843.59it/s]

word -> phonemes:  34%|███▍      | 1198/3515 [00:00<00:00, 4155.50it/s]

word -> phonemes:  46%|████▌     | 1614/3515 [00:00<00:00, 4130.00it/s]

word -> phonemes:  59%|█████▉    | 2070/3515 [00:00<00:00, 4282.32it/s]

word -> phonemes:  71%|███████   | 2499/3515 [00:00<00:00, 4276.01it/s]

word -> phonemes:  83%|████████▎ | 2927/3515 [00:00<00:00, 3974.18it/s]

word -> phonemes:  95%|█████████▌| 3346/3515 [00:00<00:00, 4038.52it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4053.81it/s]


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overall:  88%|████████▊ | 3520/4000 [18:35<03:44,  2.13it/s]

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overall:  88%|████████▊ | 3523/4000 [18:36<02:18,  3.45it/s]

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overall:  88%|████████▊ | 3524/4000 [18:36<02:13,  3.56it/s]

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overall:  88%|████████▊ | 3527/4000 [18:37<01:42,  4.62it/s]

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overall:  88%|████████▊ | 3528/4000 [18:37<01:48,  4.36it/s]

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overall:  88%|████████▊ | 3529/4000 [18:37<01:47,  4.37it/s]

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overall:  88%|████████▊ | 3530/4000 [18:37<01:41,  4.61it/s]

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overall:  88%|████████▊ | 3531/4000 [18:37<01:47,  4.35it/s]

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overall:  88%|████████▊ | 3532/4000 [18:38<01:46,  4.41it/s]

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overall:  88%|████████▊ | 3533/4000 [18:38<01:39,  4.69it/s]

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overall:  88%|████████▊ | 3534/4000 [18:38<01:42,  4.55it/s]

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overall:  88%|████████▊ | 3535/4000 [18:38<01:41,  4.56it/s]

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overall:  88%|████████▊ | 3536/4000 [18:39<01:44,  4.45it/s]

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overall:  88%|████████▊ | 3537/4000 [18:39<01:27,  5.29it/s]

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overall:  88%|████████▊ | 3538/4000 [18:39<01:30,  5.12it/s]

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overall:  88%|████████▊ | 3539/4000 [18:39<01:35,  4.83it/s]

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overall:  88%|████████▊ | 3540/4000 [18:39<01:53,  4.05it/s]

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overall:  89%|████████▊ | 3541/4000 [18:40<01:49,  4.18it/s]

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overall:  89%|████████▊ | 3542/4000 [18:40<01:45,  4.34it/s]

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overall:  89%|████████▊ | 3543/4000 [18:40<01:31,  5.00it/s]

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overall:  89%|████████▊ | 3544/4000 [18:40<01:33,  4.86it/s]

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overall:  89%|████████▊ | 3546/4000 [18:41<01:23,  5.41it/s]

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overall:  89%|████████▊ | 3547/4000 [18:41<01:28,  5.13it/s]

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overall:  89%|████████▊ | 3548/4000 [18:41<01:33,  4.85it/s]

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overall:  89%|████████▊ | 3549/4000 [18:41<01:34,  4.79it/s]

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overall:  89%|████████▉ | 3550/4000 [18:41<01:32,  4.87it/s]

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overall:  89%|████████▉ | 3551/4000 [18:42<01:36,  4.63it/s]

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overall:  89%|████████▉ | 3552/4000 [18:42<01:53,  3.94it/s]

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overall:  89%|████████▉ | 3553/4000 [18:42<01:49,  4.07it/s]

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overall:  89%|████████▉ | 3554/4000 [18:42<01:47,  4.16it/s]

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overall:  89%|████████▉ | 3555/4000 [18:43<01:30,  4.92it/s]

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overall:  89%|████████▉ | 3556/4000 [18:43<01:32,  4.80it/s]

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overall:  89%|████████▉ | 3557/4000 [18:43<01:32,  4.78it/s]

train:   1%|          | 42/3515 [00:10<12:07,  4.78it/s]
overall:  89%|████████▉ | 3558/4000 [18:43<01:33,  4.71it/s]

train:   1%|          | 43/3515 [00:10<12:17,  4.71it/s]
overall:  89%|████████▉ | 3559/4000 [18:43<01:22,  5.37it/s]

train:   1%|▏         | 44/3515 [00:10<10:46,  5.37it/s]
overall:  89%|████████▉ | 3560/4000 [18:44<01:31,  4.81it/s]

train:   1%|▏         | 45/3515 [00:10<12:01,  4.81it/s]
overall:  89%|████████▉ | 3561/4000 [18:44<01:33,  4.71it/s]

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overall:  89%|████████▉ | 3562/4000 [18:44<01:34,  4.64it/s]

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overall:  89%|████████▉ | 3563/4000 [18:44<01:24,  5.16it/s]

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overall:  89%|████████▉ | 3564/4000 [18:45<01:44,  4.16it/s]

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overall:  89%|████████▉ | 3565/4000 [18:45<01:28,  4.90it/s]

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overall:  89%|████████▉ | 3566/4000 [18:45<01:33,  4.62it/s]

train:   1%|▏         | 51/3515 [00:12<12:29,  4.62it/s]
overall:  89%|████████▉ | 3567/4000 [18:45<01:35,  4.53it/s]

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overall:  89%|████████▉ | 3569/4000 [18:45<01:20,  5.33it/s]

train:   2%|▏         | 54/3515 [00:12<10:49,  5.33it/s]
overall:  89%|████████▉ | 3570/4000 [18:46<01:22,  5.18it/s]

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overall:  89%|████████▉ | 3571/4000 [18:46<01:25,  5.03it/s]

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overall:  89%|████████▉ | 3572/4000 [18:46<01:29,  4.79it/s]

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overall:  89%|████████▉ | 3573/4000 [18:46<01:29,  4.77it/s]

train:   2%|▏         | 58/3515 [00:13<12:04,  4.77it/s]
overall:  89%|████████▉ | 3574/4000 [18:47<01:30,  4.71it/s]

train:   2%|▏         | 59/3515 [00:13<12:13,  4.71it/s]
overall:  89%|████████▉ | 3575/4000 [18:47<01:31,  4.62it/s]

train:   2%|▏         | 60/3515 [00:13<12:27,  4.62it/s]
overall:  89%|████████▉ | 3576/4000 [18:47<01:47,  3.96it/s]

train:   2%|▏         | 61/3515 [00:14<14:33,  3.96it/s]
overall:  89%|████████▉ | 3577/4000 [18:47<01:40,  4.20it/s]

train:   2%|▏         | 62/3515 [00:14<13:42,  4.20it/s]
overall:  89%|████████▉ | 3578/4000 [18:48<01:38,  4.30it/s]

train:   2%|▏         | 63/3515 [00:14<13:22,  4.30it/s]
overall:  89%|████████▉ | 3579/4000 [18:48<01:40,  4.21it/s]

train:   2%|▏         | 64/3515 [00:14<13:40,  4.21it/s]
overall:  90%|████████▉ | 3580/4000 [18:48<01:37,  4.29it/s]

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overall:  90%|████████▉ | 3581/4000 [18:48<01:35,  4.38it/s]

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overall:  90%|████████▉ | 3582/4000 [18:48<01:34,  4.40it/s]

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overall:  90%|████████▉ | 3583/4000 [18:49<01:32,  4.53it/s]

train:   2%|▏         | 68/3515 [00:15<12:40,  4.53it/s]
overall:  90%|████████▉ | 3584/4000 [18:49<01:19,  5.23it/s]

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overall:  90%|████████▉ | 3586/4000 [18:49<01:08,  6.02it/s]

train:   2%|▏         | 71/3515 [00:16<09:31,  6.02it/s]
overall:  90%|████████▉ | 3587/4000 [18:49<01:13,  5.58it/s]

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train:   3%|▎         | 108/3515 [00:24<12:33,  4.52it/s]
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train:   3%|▎         | 109/3515 [00:24<14:24,  3.94it/s]
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train:   3%|▎         | 110/3515 [00:24<14:05,  4.03it/s]
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train:   3%|▎         | 111/3515 [00:25<13:08,  4.31it/s]
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train:   3%|▎         | 112/3515 [00:25<13:20,  4.25it/s]
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train:   3%|▎         | 113/3515 [00:25<11:12,  5.06it/s]
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train:   3%|▎         | 114/3515 [00:25<11:27,  4.95it/s]
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train:   3%|▎         | 115/3515 [00:25<11:36,  4.88it/s]
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overall:  91%|█████████▏| 3650/4000 [19:03<01:10,  4.97it/s]

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overall:  91%|█████████▏| 3653/4000 [19:04<01:11,  4.85it/s]

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overall: 100%|█████████▉| 3999/4000 [20:19<00:00,  4.68it/s]

train:  14%|█▍        | 484/3515 [01:46<10:47,  4.68it/s]train loss: 1.3789896965026855
train per: 0.36656876645736275
train loss: 1.3433682918548584
train per: 0.36586005066829735
train loss: 1.3855938911437988
train per: 0.3744367792683858
train loss: 1.4185576438903809
train per: 0.3761465721040189
train loss: 1.3950181007385254
train per: 0.3788827750589548
train loss: 1.3842451572418213
train per: 0.3727299791604644
train loss: 1.4031168222427368
train per: 0.37331038439472175
train loss: 1.375899314880371
train per: 0.3723007810505896
train loss: 1.3800376653671265
train per: 0.3806551864683106
train loss: 1.3841640949249268
train per: 0.3801693427642108
train loss: 1.3751485347747803
train per: 0.36821009343848415
train loss: 1.433104395866394
train per: 0.37735385988398035
train loss: 1.3610018491744995
train per: 0.36539382482671706
train loss: 1.3842289447784424
train per: 0.37228849617583337
train loss: 1.420381784439087
train per: 0.38222816445118657
train loss: 1.358656406402588
train per: 0.36509508213369896
train loss: 1.357024073600769
train per: 0.36902123048125707
train loss: 1.3797976970672607
train per: 0.3724390359842183
train loss: 1.3882123231887817
train per: 0.369393595500074
train loss: 1.3493696451187134
train per: 0.3580091132141605
train loss: 1.3807998895645142
train per: 0.3724053724053724
train loss: 1.3850854635238647
train per: 0.36759320538274876
train loss: 1.3905870914459229
train per: 0.37253640285026574
train loss: 1.3765021562576294
train per: 0.3737356545419179
train loss: 1.3711134195327759
train per: 0.36699360974884826
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 458/2703 [00:00<00:00, 4576.85it/s]


word -> phonemes:  38%|███▊      | 1023/2703 [00:00<00:00, 5207.80it/s]


word -> phonemes:  59%|█████▉    | 1589/2703 [00:00<00:00, 5412.07it/s]


word -> phonemes:  79%|███████▉  | 2131/2703 [00:00<00:00, 5264.80it/s]


word -> phonemes:  98%|█████████▊| 2659/2703 [00:00<00:00, 5177.55it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5109.47it/s]



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overall: 100%|█████████▉| 3999/4000 [22:22<00:00,  4.68it/s]

train:  14%|█▍        | 484/3515 [03:49<10:47,  4.68it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:22<00:00,  4.68it/s]

train:  14%|█▍        | 484/3515 [03:49<10:47,  4.68it/s]
overall: 100%|██████████| 4000/4000 [22:22<00:00, 33.48s/it]

train:  14%|█▍        | 485/3515 [03:49<28:10:33, 33.48s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:50<23:57,  2.11it/s]   

overall: 100%|██████████| 4000/4000 [22:23<00:00,  2.98it/s]
dev loss: 1.7214291095733643
dev per: 0.42801768990634753
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt