/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] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k {'model_config': None, 'refresh': False}
Loading model from Local mert_test_8x_400k
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:  12%|█▏        | 431/3515 [00:00<00:00, 4304.55it/s]

word -> phonemes:  27%|██▋       | 935/3515 [00:00<00:00, 4734.39it/s]

word -> phonemes:  41%|████      | 1436/3515 [00:00<00:00, 4856.70it/s]

word -> phonemes:  55%|█████▍    | 1922/3515 [00:00<00:00, 4597.75it/s]

word -> phonemes:  68%|██████▊   | 2384/3515 [00:00<00:00, 4581.68it/s]

word -> phonemes:  81%|████████  | 2849/3515 [00:00<00:00, 4600.93it/s]

word -> phonemes:  94%|█████████▍| 3310/3515 [00:00<00:00, 4563.55it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4591.52it/s]


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train:   5%|▍         | 159/3515 [00:33<10:49,  5.17it/s]
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train:   5%|▍         | 163/3515 [00:33<11:16,  4.96it/s]
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train:   5%|▍         | 164/3515 [00:34<11:12,  4.98it/s]
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train:   5%|▍         | 165/3515 [00:34<11:02,  5.06it/s]
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train:   5%|▍         | 169/3515 [00:35<11:39,  4.79it/s]
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train:   5%|▍         | 170/3515 [00:35<13:42,  4.07it/s]
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train:   5%|▍         | 171/3515 [00:35<12:47,  4.36it/s]
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train:   5%|▌         | 180/3515 [00:37<11:43,  4.74it/s]
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train:   5%|▌         | 185/3515 [00:38<10:13,  5.43it/s]
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train:   5%|▌         | 186/3515 [00:38<10:30,  5.28it/s]
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train:   5%|▌         | 187/3515 [00:38<10:29,  5.28it/s]
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train:   5%|▌         | 188/3515 [00:39<10:33,  5.25it/s]
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train:   5%|▌         | 189/3515 [00:39<10:59,  5.04it/s]
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train:   5%|▌         | 190/3515 [00:39<11:11,  4.95it/s]
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train:   5%|▌         | 191/3515 [00:39<13:47,  4.02it/s]
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train:   5%|▌         | 192/3515 [00:40<13:01,  4.25it/s]
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overall:  13%|█▎        | 537/4000 [01:53<13:16,  4.35it/s]

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overall:  13%|█▎        | 538/4000 [01:53<11:18,  5.10it/s]

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overall:  13%|█▎        | 539/4000 [01:53<11:24,  5.06it/s]

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overall:  14%|█▎        | 542/4000 [01:54<11:43,  4.92it/s]

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overall:  14%|█▎        | 544/4000 [01:55<13:55,  4.14it/s]

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overall:  14%|█▎        | 545/4000 [01:55<13:11,  4.36it/s]

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overall:  14%|█▎        | 546/4000 [01:55<12:56,  4.45it/s]

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overall:  14%|█▎        | 547/4000 [01:55<12:14,  4.70it/s]

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overall:  14%|█▎        | 548/4000 [01:55<11:57,  4.81it/s]

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overall:  14%|█▎        | 549/4000 [01:56<11:54,  4.83it/s]

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overall:  14%|█▍        | 550/4000 [01:56<11:33,  4.98it/s]

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overall:  14%|█▍        | 554/4000 [01:57<11:55,  4.82it/s]

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overall:  14%|█▍        | 555/4000 [01:57<12:06,  4.74it/s]

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overall:  14%|█▍        | 568/4000 [02:00<13:01,  4.39it/s]

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overall:  14%|█▍        | 571/4000 [02:00<09:43,  5.88it/s]

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overall:  14%|█▍        | 577/4000 [02:01<09:30,  6.00it/s]

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overall:  25%|██▍       | 994/4000 [03:28<10:32,  4.75it/s]

train:  28%|██▊       | 994/3515 [03:26<08:50,  4.75it/s]
overall:  25%|██▍       | 995/4000 [03:28<12:31,  4.00it/s]

train:  28%|██▊       | 995/3515 [03:26<10:29,  4.00it/s]
overall:  25%|██▍       | 996/4000 [03:28<11:18,  4.43it/s]

train:  28%|██▊       | 996/3515 [03:26<09:28,  4.43it/s]
overall:  25%|██▍       | 997/4000 [03:29<11:07,  4.50it/s]

train:  28%|██▊       | 997/3515 [03:27<09:19,  4.50it/s]
overall:  25%|██▍       | 998/4000 [03:29<10:53,  4.59it/s]

train:  28%|██▊       | 998/3515 [03:27<09:07,  4.59it/s]
overall:  25%|██▍       | 999/4000 [03:29<10:31,  4.75it/s]

train:  28%|██▊       | 999/3515 [03:27<08:49,  4.75it/s]train loss: 3.740454912185669
train per: 0.8816533176180654
train loss: 2.5182018280029297
train per: 0.6497020536559167
train loss: 2.3183302879333496
train per: 0.6070139916413572
train loss: 2.2667510509490967
train per: 0.5877155007766941
train loss: 2.23207426071167
train per: 0.5825091702651252
train loss: 2.177584409713745
train per: 0.5760150578112396
train loss: 2.12595796585083
train per: 0.5608108108108109
train loss: 2.204737424850464
train per: 0.5728446901243754
train loss: 2.0892319679260254
train per: 0.5544255753977909
train loss: 2.0791800022125244
train per: 0.5502877500685119
train loss: 2.088991165161133
train per: 0.5623601274321371
train loss: 2.1017093658447266
train per: 0.5544049152710336
train loss: 2.166374921798706
train per: 0.5696491641158464
train loss: 2.0958333015441895
train per: 0.5516337819981635
train loss: 2.030791759490967
train per: 0.5411457229639047
train loss: 2.043704032897949
train per: 0.5438110749185667
train loss: 2.027070999145508
train per: 0.5382751937984496
train loss: 2.046011447906494
train per: 0.5443664532005928
train loss: 2.0735323429107666
train per: 0.5490703759812698
train loss: 2.021658182144165
train per: 0.5458687880771361
train loss: 2.01047945022583
train per: 0.5373991960344274
train loss: 2.0526344776153564
train per: 0.5441874482031192
train loss: 2.056096315383911
train per: 0.5370459835741579
train loss: 2.0703673362731934
train per: 0.5453104359313078
train loss: 2.039562702178955
train per: 0.5352891346025235
train loss: 1.9832661151885986
train per: 0.5281084570690768
train loss: 2.0370399951934814
train per: 0.536745859621451
train loss: 1.9872958660125732
train per: 0.5296288702070945
train loss: 1.990694284439087
train per: 0.5257241451427377
train loss: 2.0145504474639893
train per: 0.5366526380864065
train loss: 2.046879291534424
train per: 0.5373345822225425
train loss: 1.9890543222427368
train per: 0.5315730171949248
train loss: 2.029848337173462
train per: 0.5391117640411346
train loss: 2.0187230110168457
train per: 0.538615456577101
train loss: 1.9985015392303467
train per: 0.5352177942539388
train loss: 2.0003082752227783
train per: 0.5362153630305156
train loss: 2.0550854206085205
train per: 0.5376207899427714
train loss: 2.0439612865448
train per: 0.5393347794649314
train loss: 2.03257155418396
train per: 0.5384577579004276
train loss: 2.028317928314209
train per: 0.5353297049823643
train loss: 1.9913303852081299
train per: 0.5337304739211014
train loss: 1.989697813987732
train per: 0.5338631274236714
train loss: 2.0084595680236816
train per: 0.5300064143681847
train loss: 2.0424020290374756
train per: 0.5415224476390187
train loss: 1.993765115737915
train per: 0.5294310584079728
train loss: 1.993531584739685
train per: 0.5268175582990398
train loss: 2.0194475650787354
train per: 0.5393226473629783
train loss: 2.0264394283294678
train per: 0.5390243243972895
train loss: 1.9947611093521118
train per: 0.5307425269681508
train loss: 1.9637165069580078
train per: 0.5255330187513897
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▍        | 391/2703 [00:00<00:00, 3834.14it/s]


word -> phonemes:  35%|███▌      | 956/2703 [00:00<00:00, 4889.99it/s]


word -> phonemes:  53%|█████▎    | 1446/2703 [00:00<00:00, 4650.19it/s]


word -> phonemes:  75%|███████▍  | 2020/2703 [00:00<00:00, 5062.42it/s]


word -> phonemes:  94%|█████████▎| 2529/2703 [00:00<00:00, 4872.03it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4848.22it/s]



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overall:  46%|████▋     | 1855/4000 [09:22<07:10,  4.98it/s]

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overall:  46%|████▋     | 1856/4000 [09:22<07:11,  4.97it/s]

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overall:  46%|████▋     | 1857/4000 [09:23<09:11,  3.89it/s]

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overall:  46%|████▋     | 1858/4000 [09:23<08:35,  4.15it/s]

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overall:  46%|████▋     | 1860/4000 [09:23<08:03,  4.42it/s]

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overall:  47%|████▋     | 1865/4000 [09:24<07:18,  4.87it/s]

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overall:  47%|████▋     | 1872/4000 [09:26<07:41,  4.61it/s]

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overall:  47%|████▋     | 1873/4000 [09:26<08:10,  4.33it/s]

train:  53%|█████▎    | 1873/3515 [09:24<06:19,  4.33it/s]
overall:  47%|████▋     | 1874/4000 [09:26<08:01,  4.42it/s]

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overall:  47%|████▋     | 1875/4000 [09:26<07:55,  4.47it/s]

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overall:  47%|████▋     | 1877/4000 [09:27<07:14,  4.88it/s]

train:  53%|█████▎    | 1877/3515 [09:25<05:35,  4.88it/s]
overall:  47%|████▋     | 1878/4000 [09:27<07:24,  4.78it/s]

train:  53%|█████▎    | 1878/3515 [09:25<05:42,  4.78it/s]
overall:  47%|████▋     | 1879/4000 [09:27<07:18,  4.83it/s]

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overall:  47%|████▋     | 1880/4000 [09:27<07:22,  4.79it/s]

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overall:  47%|████▋     | 1881/4000 [09:28<08:59,  3.92it/s]

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overall:  47%|████▋     | 1882/4000 [09:28<08:36,  4.10it/s]

train:  54%|█████▎    | 1882/3515 [09:26<06:37,  4.10it/s]
overall:  47%|████▋     | 1883/4000 [09:28<08:11,  4.31it/s]

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overall:  47%|████▋     | 1884/4000 [09:28<08:02,  4.38it/s]

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overall:  47%|████▋     | 1885/4000 [09:28<07:59,  4.41it/s]

train:  54%|█████▎    | 1885/3515 [09:26<06:09,  4.41it/s]
overall:  47%|████▋     | 1886/4000 [09:29<08:09,  4.32it/s]

train:  54%|█████▎    | 1886/3515 [09:27<06:17,  4.32it/s]
overall:  47%|████▋     | 1887/4000 [09:29<07:48,  4.51it/s]

train:  54%|█████▎    | 1887/3515 [09:27<06:01,  4.51it/s]
overall:  47%|████▋     | 1888/4000 [09:29<07:43,  4.56it/s]

train:  54%|█████▎    | 1888/3515 [09:27<05:57,  4.56it/s]
overall:  47%|████▋     | 1889/4000 [09:29<07:29,  4.70it/s]

train:  54%|█████▎    | 1889/3515 [09:27<05:45,  4.70it/s]
overall:  47%|████▋     | 1890/4000 [09:30<07:07,  4.94it/s]

train:  54%|█████▍    | 1890/3515 [09:27<05:28,  4.94it/s]
overall:  47%|████▋     | 1891/4000 [09:30<07:10,  4.90it/s]

train:  54%|█████▍    | 1891/3515 [09:28<05:31,  4.90it/s]
overall:  47%|████▋     | 1892/4000 [09:30<07:13,  4.86it/s]

train:  54%|█████▍    | 1892/3515 [09:28<05:33,  4.86it/s]
overall:  47%|████▋     | 1893/4000 [09:30<07:15,  4.84it/s]

train:  54%|█████▍    | 1893/3515 [09:28<05:35,  4.84it/s]
overall:  47%|████▋     | 1894/4000 [09:30<07:13,  4.86it/s]

train:  54%|█████▍    | 1894/3515 [09:28<05:33,  4.86it/s]
overall:  47%|████▋     | 1895/4000 [09:31<06:50,  5.12it/s]

train:  54%|█████▍    | 1895/3515 [09:28<05:16,  5.12it/s]
overall:  47%|████▋     | 1896/4000 [09:31<06:34,  5.33it/s]

train:  54%|█████▍    | 1896/3515 [09:29<05:03,  5.33it/s]
overall:  47%|████▋     | 1897/4000 [09:31<07:28,  4.69it/s]

train:  54%|█████▍    | 1897/3515 [09:29<05:44,  4.69it/s]
overall:  47%|████▋     | 1898/4000 [09:31<07:32,  4.64it/s]

train:  54%|█████▍    | 1898/3515 [09:29<05:48,  4.64it/s]
overall:  47%|████▋     | 1899/4000 [09:31<07:25,  4.72it/s]

train:  54%|█████▍    | 1899/3515 [09:29<05:42,  4.72it/s]
overall:  48%|████▊     | 1900/4000 [09:32<07:30,  4.67it/s]

train:  54%|█████▍    | 1900/3515 [09:30<05:46,  4.66it/s]
overall:  48%|████▊     | 1901/4000 [09:32<07:13,  4.84it/s]

train:  54%|█████▍    | 1901/3515 [09:30<05:33,  4.84it/s]
overall:  48%|████▊     | 1902/4000 [09:32<06:32,  5.35it/s]

train:  54%|█████▍    | 1902/3515 [09:30<05:01,  5.35it/s]
overall:  48%|████▊     | 1903/4000 [09:32<06:47,  5.14it/s]

train:  54%|█████▍    | 1903/3515 [09:30<05:13,  5.14it/s]
overall:  48%|████▊     | 1904/4000 [09:32<06:57,  5.02it/s]

train:  54%|█████▍    | 1904/3515 [09:30<05:20,  5.02it/s]
overall:  48%|████▊     | 1905/4000 [09:33<07:43,  4.52it/s]

train:  54%|█████▍    | 1905/3515 [09:31<05:56,  4.52it/s]
overall:  48%|████▊     | 1906/4000 [09:33<07:38,  4.57it/s]

train:  54%|█████▍    | 1906/3515 [09:31<05:52,  4.57it/s]
overall:  48%|████▊     | 1907/4000 [09:33<06:41,  5.21it/s]

train:  54%|█████▍    | 1907/3515 [09:31<05:08,  5.21it/s]
overall:  48%|████▊     | 1908/4000 [09:33<06:49,  5.11it/s]

train:  54%|█████▍    | 1908/3515 [09:31<05:14,  5.11it/s]
overall:  48%|████▊     | 1909/4000 [09:33<06:50,  5.09it/s]

train:  54%|█████▍    | 1909/3515 [09:31<05:15,  5.09it/s]
overall:  48%|████▊     | 1910/4000 [09:34<07:27,  4.67it/s]

train:  54%|█████▍    | 1910/3515 [09:32<05:43,  4.67it/s]
overall:  48%|████▊     | 1911/4000 [09:34<06:42,  5.19it/s]

train:  54%|█████▍    | 1911/3515 [09:32<05:08,  5.19it/s]
overall:  48%|████▊     | 1913/4000 [09:34<06:05,  5.71it/s]

train:  54%|█████▍    | 1913/3515 [09:32<04:40,  5.71it/s]
overall:  48%|████▊     | 1914/4000 [09:34<06:06,  5.69it/s]

train:  54%|█████▍    | 1914/3515 [09:32<04:41,  5.69it/s]
overall:  48%|████▊     | 1915/4000 [09:34<06:40,  5.21it/s]

train:  54%|█████▍    | 1915/3515 [09:32<05:07,  5.20it/s]
overall:  48%|████▊     | 1916/4000 [09:35<06:24,  5.43it/s]

train:  55%|█████▍    | 1916/3515 [09:33<04:54,  5.43it/s]
overall:  48%|████▊     | 1917/4000 [09:35<06:41,  5.19it/s]

train:  55%|█████▍    | 1917/3515 [09:33<05:08,  5.19it/s]
overall:  48%|████▊     | 1918/4000 [09:35<06:38,  5.23it/s]

train:  55%|█████▍    | 1918/3515 [09:33<05:05,  5.23it/s]
overall:  48%|████▊     | 1919/4000 [09:35<06:49,  5.08it/s]

train:  55%|█████▍    | 1919/3515 [09:33<05:14,  5.08it/s]
overall:  48%|████▊     | 1920/4000 [09:36<08:01,  4.32it/s]

train:  55%|█████▍    | 1920/3515 [09:34<06:09,  4.32it/s]
overall:  48%|████▊     | 1921/4000 [09:36<08:15,  4.19it/s]

train:  55%|█████▍    | 1921/3515 [09:34<06:20,  4.19it/s]
overall:  48%|████▊     | 1922/4000 [09:36<08:03,  4.30it/s]

train:  55%|█████▍    | 1922/3515 [09:34<06:10,  4.30it/s]
overall:  48%|████▊     | 1923/4000 [09:36<07:36,  4.55it/s]

train:  55%|█████▍    | 1923/3515 [09:34<05:49,  4.55it/s]
overall:  48%|████▊     | 1924/4000 [09:36<07:28,  4.63it/s]

train:  55%|█████▍    | 1924/3515 [09:34<05:43,  4.63it/s]
overall:  48%|████▊     | 1925/4000 [09:37<06:56,  4.99it/s]

train:  55%|█████▍    | 1925/3515 [09:35<05:18,  4.99it/s]
overall:  48%|████▊     | 1926/4000 [09:37<06:54,  5.00it/s]

train:  55%|█████▍    | 1926/3515 [09:35<05:17,  5.00it/s]
overall:  48%|████▊     | 1927/4000 [09:37<06:51,  5.03it/s]

train:  55%|█████▍    | 1927/3515 [09:35<05:15,  5.03it/s]
overall:  48%|████▊     | 1929/4000 [09:37<07:31,  4.58it/s]

train:  55%|█████▍    | 1929/3515 [09:35<05:45,  4.58it/s]
overall:  48%|████▊     | 1930/4000 [09:38<07:33,  4.56it/s]

train:  55%|█████▍    | 1930/3515 [09:36<05:47,  4.56it/s]
overall:  48%|████▊     | 1931/4000 [09:38<07:30,  4.59it/s]

train:  55%|█████▍    | 1931/3515 [09:36<05:45,  4.59it/s]
overall:  48%|████▊     | 1932/4000 [09:38<07:34,  4.55it/s]

train:  55%|█████▍    | 1932/3515 [09:36<05:48,  4.55it/s]
overall:  48%|████▊     | 1933/4000 [09:38<07:29,  4.59it/s]

train:  55%|█████▍    | 1933/3515 [09:36<05:44,  4.59it/s]
overall:  48%|████▊     | 1934/4000 [09:39<07:46,  4.43it/s]

train:  55%|█████▌    | 1934/3515 [09:37<05:56,  4.43it/s]
overall:  48%|████▊     | 1935/4000 [09:39<07:41,  4.48it/s]

train:  55%|█████▌    | 1935/3515 [09:37<05:52,  4.48it/s]
overall:  48%|████▊     | 1936/4000 [09:39<06:39,  5.17it/s]

train:  55%|█████▌    | 1936/3515 [09:37<05:05,  5.17it/s]
overall:  48%|████▊     | 1937/4000 [09:39<06:39,  5.17it/s]

train:  55%|█████▌    | 1937/3515 [09:37<05:05,  5.17it/s]
overall:  48%|████▊     | 1938/4000 [09:39<06:38,  5.18it/s]

train:  55%|█████▌    | 1938/3515 [09:37<05:04,  5.18it/s]
overall:  48%|████▊     | 1939/4000 [09:40<06:54,  4.97it/s]

train:  55%|█████▌    | 1939/3515 [09:38<05:17,  4.97it/s]
overall:  48%|████▊     | 1940/4000 [09:40<06:56,  4.95it/s]

train:  55%|█████▌    | 1940/3515 [09:38<05:18,  4.95it/s]
overall:  49%|████▊     | 1941/4000 [09:40<06:45,  5.08it/s]

train:  55%|█████▌    | 1941/3515 [09:38<05:09,  5.08it/s]
overall:  49%|████▊     | 1942/4000 [09:40<07:00,  4.89it/s]

train:  55%|█████▌    | 1942/3515 [09:38<05:21,  4.89it/s]
overall:  49%|████▊     | 1943/4000 [09:40<07:09,  4.79it/s]

train:  55%|█████▌    | 1943/3515 [09:38<05:28,  4.79it/s]
overall:  49%|████▊     | 1944/4000 [09:41<07:04,  4.85it/s]

train:  55%|█████▌    | 1944/3515 [09:39<05:24,  4.85it/s]
overall:  49%|████▊     | 1945/4000 [09:41<07:34,  4.52it/s]

train:  55%|█████▌    | 1945/3515 [09:39<05:47,  4.52it/s]
overall:  49%|████▊     | 1946/4000 [09:41<07:33,  4.53it/s]

train:  55%|█████▌    | 1946/3515 [09:39<05:46,  4.53it/s]
overall:  49%|████▊     | 1948/4000 [09:41<06:21,  5.38it/s]

train:  55%|█████▌    | 1948/3515 [09:39<04:51,  5.38it/s]
overall:  49%|████▊     | 1949/4000 [09:42<06:37,  5.16it/s]

train:  55%|█████▌    | 1949/3515 [09:40<05:03,  5.16it/s]
overall:  49%|████▉     | 1950/4000 [09:42<06:50,  4.99it/s]

train:  55%|█████▌    | 1950/3515 [09:40<05:13,  4.99it/s]
overall:  49%|████▉     | 1951/4000 [09:42<06:56,  4.91it/s]

train:  56%|█████▌    | 1951/3515 [09:40<05:18,  4.91it/s]
overall:  49%|████▉     | 1952/4000 [09:42<06:56,  4.92it/s]

train:  56%|█████▌    | 1952/3515 [09:40<05:17,  4.92it/s]
overall:  49%|████▉     | 1953/4000 [09:43<08:40,  3.93it/s]

train:  56%|█████▌    | 1953/3515 [09:41<06:37,  3.93it/s]
overall:  49%|████▉     | 1954/4000 [09:43<08:20,  4.09it/s]

train:  56%|█████▌    | 1954/3515 [09:41<06:21,  4.09it/s]
overall:  49%|████▉     | 1955/4000 [09:43<07:48,  4.37it/s]

train:  56%|█████▌    | 1955/3515 [09:41<05:57,  4.37it/s]
overall:  49%|████▉     | 1956/4000 [09:43<07:34,  4.50it/s]

train:  56%|█████▌    | 1956/3515 [09:41<05:46,  4.50it/s]
overall:  49%|████▉     | 1957/4000 [09:43<07:29,  4.55it/s]

train:  56%|█████▌    | 1957/3515 [09:41<05:42,  4.55it/s]
overall:  49%|████▉     | 1958/4000 [09:44<07:37,  4.46it/s]

train:  56%|█████▌    | 1958/3515 [09:42<05:48,  4.46it/s]
overall:  49%|████▉     | 1959/4000 [09:44<07:35,  4.48it/s]

train:  56%|█████▌    | 1959/3515 [09:42<05:47,  4.48it/s]
overall:  49%|████▉     | 1960/4000 [09:44<07:25,  4.58it/s]

train:  56%|█████▌    | 1960/3515 [09:42<05:39,  4.58it/s]
overall:  49%|████▉     | 1961/4000 [09:44<07:26,  4.57it/s]

train:  56%|█████▌    | 1961/3515 [09:42<05:40,  4.57it/s]
overall:  49%|████▉     | 1962/4000 [09:45<07:30,  4.52it/s]

train:  56%|█████▌    | 1962/3515 [09:43<05:43,  4.53it/s]
overall:  49%|████▉     | 1963/4000 [09:45<07:25,  4.58it/s]

train:  56%|█████▌    | 1963/3515 [09:43<05:39,  4.58it/s]
overall:  49%|████▉     | 1964/4000 [09:45<07:07,  4.76it/s]

train:  56%|█████▌    | 1964/3515 [09:43<05:25,  4.76it/s]
overall:  49%|████▉     | 1965/4000 [09:45<07:06,  4.77it/s]

train:  56%|█████▌    | 1965/3515 [09:43<05:24,  4.77it/s]
overall:  49%|████▉     | 1966/4000 [09:45<06:58,  4.86it/s]

train:  56%|█████▌    | 1966/3515 [09:43<05:18,  4.86it/s]
overall:  49%|████▉     | 1967/4000 [09:46<06:41,  5.07it/s]

train:  56%|█████▌    | 1967/3515 [09:43<05:05,  5.07it/s]
overall:  49%|████▉     | 1968/4000 [09:46<07:22,  4.59it/s]

train:  56%|█████▌    | 1968/3515 [09:44<05:37,  4.59it/s]
overall:  49%|████▉     | 1969/4000 [09:46<07:46,  4.35it/s]

train:  56%|█████▌    | 1969/3515 [09:44<05:55,  4.35it/s]
overall:  49%|████▉     | 1970/4000 [09:46<07:39,  4.42it/s]

train:  56%|█████▌    | 1970/3515 [09:44<05:49,  4.42it/s]
overall:  49%|████▉     | 1971/4000 [09:46<07:30,  4.51it/s]

train:  56%|█████▌    | 1971/3515 [09:44<05:42,  4.51it/s]
overall:  49%|████▉     | 1972/4000 [09:47<07:24,  4.56it/s]

train:  56%|█████▌    | 1972/3515 [09:45<05:38,  4.56it/s]
overall:  49%|████▉     | 1973/4000 [09:47<07:21,  4.59it/s]

train:  56%|█████▌    | 1973/3515 [09:45<05:35,  4.59it/s]
overall:  49%|████▉     | 1974/4000 [09:47<07:17,  4.63it/s]

train:  56%|█████▌    | 1974/3515 [09:45<05:33,  4.63it/s]
overall:  49%|████▉     | 1975/4000 [09:47<07:24,  4.56it/s]

train:  56%|█████▌    | 1975/3515 [09:45<05:37,  4.56it/s]
overall:  49%|████▉     | 1976/4000 [09:48<07:13,  4.67it/s]

train:  56%|█████▌    | 1976/3515 [09:46<05:29,  4.67it/s]
overall:  49%|████▉     | 1977/4000 [09:48<08:59,  3.75it/s]

train:  56%|█████▌    | 1977/3515 [09:46<06:49,  3.75it/s]
overall:  49%|████▉     | 1978/4000 [09:48<08:24,  4.00it/s]

train:  56%|█████▋    | 1978/3515 [09:46<06:23,  4.00it/s]
overall:  49%|████▉     | 1979/4000 [09:48<07:32,  4.47it/s]

train:  56%|█████▋    | 1979/3515 [09:46<05:43,  4.47it/s]
overall:  50%|████▉     | 1980/4000 [09:49<07:28,  4.50it/s]

train:  56%|█████▋    | 1980/3515 [09:46<05:40,  4.50it/s]
overall:  50%|████▉     | 1981/4000 [09:49<06:43,  5.00it/s]

train:  56%|█████▋    | 1981/3515 [09:47<05:06,  5.00it/s]
overall:  50%|████▉     | 1982/4000 [09:49<06:57,  4.83it/s]

train:  56%|█████▋    | 1982/3515 [09:47<05:17,  4.83it/s]
overall:  50%|████▉     | 1984/4000 [09:49<06:04,  5.53it/s]

train:  56%|█████▋    | 1984/3515 [09:47<04:36,  5.53it/s]
overall:  50%|████▉     | 1985/4000 [09:49<06:18,  5.32it/s]

train:  56%|█████▋    | 1985/3515 [09:47<04:47,  5.32it/s]
overall:  50%|████▉     | 1986/4000 [09:50<05:36,  5.99it/s]

train:  57%|█████▋    | 1986/3515 [09:47<04:15,  5.99it/s]
overall:  50%|████▉     | 1987/4000 [09:50<05:52,  5.71it/s]

train:  57%|█████▋    | 1987/3515 [09:48<04:27,  5.71it/s]
overall:  50%|████▉     | 1988/4000 [09:50<06:12,  5.40it/s]

train:  57%|█████▋    | 1988/3515 [09:48<04:42,  5.40it/s]
overall:  50%|████▉     | 1989/4000 [09:50<06:28,  5.18it/s]

train:  57%|█████▋    | 1989/3515 [09:48<04:54,  5.18it/s]
overall:  50%|████▉     | 1990/4000 [09:50<06:40,  5.02it/s]

train:  57%|█████▋    | 1990/3515 [09:48<05:04,  5.02it/s]
overall:  50%|████▉     | 1991/4000 [09:51<06:47,  4.93it/s]

train:  57%|█████▋    | 1991/3515 [09:49<05:09,  4.93it/s]
overall:  50%|████▉     | 1992/4000 [09:51<06:52,  4.87it/s]

train:  57%|█████▋    | 1992/3515 [09:49<05:12,  4.87it/s]
overall:  50%|████▉     | 1993/4000 [09:51<07:25,  4.50it/s]

train:  57%|█████▋    | 1993/3515 [09:49<05:38,  4.50it/s]
overall:  50%|████▉     | 1994/4000 [09:51<07:11,  4.65it/s]

train:  57%|█████▋    | 1994/3515 [09:49<05:27,  4.65it/s]
overall:  50%|████▉     | 1995/4000 [09:51<07:06,  4.70it/s]

train:  57%|█████▋    | 1995/3515 [09:49<05:23,  4.70it/s]
overall:  50%|████▉     | 1996/4000 [09:52<06:57,  4.80it/s]

train:  57%|█████▋    | 1996/3515 [09:50<05:16,  4.80it/s]
overall:  50%|████▉     | 1997/4000 [09:52<07:06,  4.69it/s]

train:  57%|█████▋    | 1997/3515 [09:50<05:23,  4.69it/s]
overall:  50%|████▉     | 1998/4000 [09:52<07:04,  4.72it/s]

train:  57%|█████▋    | 1998/3515 [09:50<05:21,  4.72it/s]
overall:  50%|████▉     | 1999/4000 [09:52<06:54,  4.83it/s]

train:  57%|█████▋    | 1999/3515 [09:50<05:13,  4.83it/s]dev loss: 2.2782833576202393
dev per: 0.5718678459937565
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9995899200439453
train per: 0.5334832141864754
train loss: 1.9757354259490967
train per: 0.5352608422375864
train loss: 2.038912296295166
train per: 0.5340142257888018
train loss: 1.9888074398040771
train per: 0.5345058252968393
train loss: 2.0340938568115234
train per: 0.5309803921568628
train loss: 2.014212131500244
train per: 0.5317359940041222
train loss: 1.984043836593628
train per: 0.5278828712101581
train loss: 1.9921314716339111
train per: 0.5250163259155071
train loss: 1.9949758052825928
train per: 0.5292645727086411
train loss: 1.9883073568344116
train per: 0.5298106515048772
train loss: 2.024277925491333
train per: 0.5329704545978735
train loss: 1.9664884805679321
train per: 0.5264238442587315
train loss: 2.0120084285736084
train per: 0.5295115160718805
train loss: 1.9563846588134766
train per: 0.525965379494008
train loss: 1.9859638214111328
train per: 0.5280580378591333
train loss: 2.0371625423431396
train per: 0.5368187795256416
train loss: 2.0122532844543457
train per: 0.5328631554999431
train loss: 1.9489160776138306
train per: 0.5231963801916041
train loss: 2.011936664581299
train per: 0.5350724788009231
train loss: 2.0000317096710205
train per: 0.5297820823244552
train loss: 1.9552602767944336
train per: 0.5262137827825618
train loss: 1.96340012550354
train per: 0.525509830260105
train loss: 1.9474824666976929
train per: 0.5284333200900543
train loss: 2.0124728679656982
train per: 0.5279545886376591
train loss: 2.0230698585510254
train per: 0.5372318456791623
train loss: 2.0034124851226807
train per: 0.5278658396508156
train loss: 1.9798790216445923
train per: 0.529181302350716
train loss: 2.036405324935913
train per: 0.5392168460901455
train loss: 2.0132646560668945
train per: 0.5330714736620608
train loss: 2.004394054412842
train per: 0.5272942161376899
train loss: 1.9772981405258179
train per: 0.5279466461459535
train loss: 2.0048184394836426
train per: 0.5333771065878748
train loss: 2.002216339111328
train per: 0.5295433579335793
train loss: 1.992656946182251
train per: 0.5310008178286649
train loss: 1.948362112045288
train per: 0.5198040114889817
train loss: 1.947106122970581
train per: 0.5339808753883744
train loss: 2.012617349624634
train per: 0.5417816946273094
train loss: 1.9635213613510132
train per: 0.5259696751619227
train loss: 1.9688574075698853
train per: 0.5273346038660496
train loss: 2.0470855236053467
train per: 0.5347799963024589
train loss: 2.0089948177337646
train per: 0.5238502000629411
train loss: 2.0010743141174316
train per: 0.5305765571156714
train loss: 1.97373366355896
train per: 0.5256671977693687
train loss: 1.9345200061798096
train per: 0.5222692462716646
train loss: 1.984261155128479
train per: 0.5241776353970796
train loss: 1.9878568649291992
train per: 0.5274840022490562
train loss: 1.975927710533142
train per: 0.5256562654779594
train loss: 2.0399303436279297
train per: 0.5369211514392991
train loss: 1.9401705265045166
train per: 0.5170630570516181
train loss: 1.9792057275772095
train per: 0.5215297107588043
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 475/2703 [00:00<00:00, 4741.20it/s]


word -> phonemes:  35%|███▌      | 950/2703 [00:00<00:00, 4066.93it/s]


word -> phonemes:  54%|█████▍    | 1468/2703 [00:00<00:00, 4531.60it/s]


word -> phonemes:  72%|███████▏  | 1943/2703 [00:00<00:00, 4609.44it/s]


word -> phonemes:  91%|█████████ | 2450/2703 [00:00<00:00, 4735.24it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4634.00it/s]



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


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train:  85%|████████▌ | 2999/3515 [16:19<02:15,  3.82it/s]dev loss: 2.2612056732177734
dev per: 0.5677471383975026
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9359424114227295
train per: 0.5217953205352576
train loss: 1.9465957880020142
train per: 0.5326302456217645
train loss: 1.974514365196228
train per: 0.5226244343891403
train loss: 1.994593620300293
train per: 0.5273688184220461
train loss: 1.9592479467391968
train per: 0.5200059868289763
train loss: 1.9436582326889038
train per: 0.5184828250843257
train loss: 1.9834702014923096
train per: 0.5241211097821243
train loss: 1.9988552331924438
train per: 0.5276702508960573
train loss: 1.9279676675796509
train per: 0.5142871050966266
train loss: 1.9496333599090576
train per: 0.5162012237221151
train loss: 1.9581682682037354
train per: 0.5220226594062884
train loss: 1.9673173427581787
train per: 0.5267438303079747
train loss: 2.037679433822632
train per: 0.5370508982035929
train loss: 2.0009241104125977
train per: 0.5289579036758462
train loss: 1.943671464920044
train per: 0.5291063829787234
train loss: 1.9989814758300781
train per: 0.5272568238532582
train loss: 2.009221315383911
train per: 0.5312982375302384
train loss: 1.9787248373031616
train per: 0.5278985321945482
train loss: 1.9562021493911743
train per: 0.5198239980972768
train loss: 1.9742769002914429
train per: 0.5205126221603362
train loss: 1.9599597454071045
train per: 0.5272136041366811
train loss: 2.0225911140441895
train per: 0.5313104163719526
train loss: 2.0364115238189697
train per: 0.5353475960016283
train loss: 1.96344792842865
train per: 0.5223341259849863
train loss: 1.965505838394165
train per: 0.5253269725557461
train loss: 1.9508850574493408
train per: 0.5198246282882196
train loss: 1.9275248050689697
train per: 0.5162090052652705
train loss: 1.939008116722107
train per: 0.5189697347594608
train loss: 1.9320380687713623
train per: 0.5147940724587402
train loss: 2.0156188011169434
train per: 0.5306962673156973
train loss: 1.929621934890747
train per: 0.5155276046304541
train loss: 1.94016432762146
train per: 0.5222689835015879
train loss: 1.9594236612319946
train per: 0.5258214868329061
train loss: 1.9610038995742798
train per: 0.5232461966465325
train loss: 1.9900972843170166
train per: 0.5288854003139717
train loss: 1.9637396335601807
train per: 0.5305520322064744
train loss: 2.0199053287506104
train per: 0.5394402663050178
train loss: 1.9481604099273682
train per: 0.5257321580892806
train loss: 1.9782661199569702
train per: 0.5261720407297412
train loss: 1.9466066360473633
train per: 0.5260235600130055
train loss: 1.9265480041503906
train per: 0.5193407249042907
train loss: 1.957471489906311
train per: 0.5271262920405058
train loss: 1.9460636377334595
train per: 0.5256495847464416
train loss: 2.0167839527130127
train per: 0.5284076665375237
train loss: 1.9446080923080444
train per: 0.5222837620994876
train loss: 1.9830471277236938
train per: 0.5221597300337458
train loss: 1.975775122642517
train per: 0.5284878526758696
train loss: 2.0042223930358887
train per: 0.5291893971976368
train loss: 1.951515555381775
train per: 0.5221529373153921
train loss: 2.018782377243042
train per: 0.5390817634875235
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 414/2703 [00:00<00:00, 4134.85it/s]


word -> phonemes:  35%|███▍      | 945/2703 [00:00<00:00, 4825.47it/s]


word -> phonemes:  54%|█████▎    | 1447/2703 [00:00<00:00, 4912.48it/s]


word -> phonemes:  72%|███████▏  | 1940/2703 [00:00<00:00, 4915.83it/s]


word -> phonemes:  90%|████████▉ | 2432/2703 [00:00<00:00, 4680.43it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4778.91it/s]



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overall:  87%|████████▋ | 3491/4000 [21:02<01:42,  4.96it/s]

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overall:  87%|████████▋ | 3492/4000 [21:02<01:44,  4.84it/s]

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train:  99%|█████████▉| 3493/3515 [21:00<00:04,  4.91it/s]
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train: 100%|██████████| 3515/3515 [21:05<00:00,  5.21it/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 [21:05<00:00,  2.78it/s]
dev loss: 2.2654953002929688
dev per: 0.5735327783558793
train loss: 1.922655463218689
train per: 0.5183377143572412
train loss: 1.9474914073944092
train per: 0.5228426395939086
train loss: 1.9271507263183594
train per: 0.5188619548286605
train loss: 1.9306910037994385
train per: 0.5123494127728212
train loss: 1.9550409317016602
train per: 0.5146400927876535
train loss: 1.9532630443572998
train per: 0.5196252665786534
train loss: 1.9233500957489014
train per: 0.5198710522339193
train loss: 1.9848095178604126
train per: 0.5217213803703081
train loss: 2.0035905838012695
train per: 0.5297413041854443
train loss: 1.930397391319275
train per: 0.5166896486139508
train loss: 1.96636164188385
train per: 0.5271343390212403
train loss: 1.9959198236465454
train per: 0.5301406327294998
train loss: 1.909307837486267
train per: 0.5190086803371493
train loss: 1.9429972171783447
train per: 0.519929016741775
train loss: 1.9639360904693604
train per: 0.5233539397507605
train loss: 1.983854055404663
train per: 0.5227827038362471
train loss: 1.9744148254394531
train per: 0.5217142595643419
train loss: 1.9597342014312744
train per: 0.5261545711592837
train loss: 1.9919201135635376
train per: 0.5302878532264867
train loss: 1.9811315536499023
train per: 0.5320871597022224
train loss: 1.9913393259048462
train per: 0.5363451273867826
train loss: 2.0145089626312256
train per: 0.5313156461526491
train loss: 2.0213091373443604
train per: 0.5290704615458084
train loss: 1.9751657247543335
train per: 0.5305077197149644
train loss: 1.9938074350357056
train per: 0.5239377406173976
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█▏        | 400/3515 [00:00<00:00, 3993.59it/s]

word -> phonemes:  23%|██▎       | 800/3515 [00:00<00:00, 3755.17it/s]

word -> phonemes:  35%|███▍      | 1214/3515 [00:00<00:00, 3922.76it/s]

word -> phonemes:  46%|████▋     | 1627/3515 [00:00<00:00, 4000.86it/s]

word -> phonemes:  59%|█████▉    | 2080/3515 [00:00<00:00, 4187.65it/s]

word -> phonemes:  71%|███████   | 2500/3515 [00:00<00:00, 3886.67it/s]

word -> phonemes:  84%|████████▍ | 2970/3515 [00:00<00:00, 4137.36it/s]

word -> phonemes:  96%|█████████▋| 3388/3515 [00:00<00:00, 3745.89it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3914.88it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [21:11<10:23,  1.29s/it]

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overall:  88%|████████▊ | 3528/4000 [21:13<01:41,  4.65it/s]

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overall:  88%|████████▊ | 3529/4000 [21:13<01:41,  4.66it/s]

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overall:  88%|████████▊ | 3530/4000 [21:13<01:35,  4.92it/s]

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overall:  88%|████████▊ | 3531/4000 [21:14<01:38,  4.76it/s]

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overall:  88%|████████▊ | 3532/4000 [21:14<01:37,  4.79it/s]

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overall:  88%|████████▊ | 3533/4000 [21:14<01:32,  5.07it/s]

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overall:  88%|████████▊ | 3534/4000 [21:14<01:33,  4.98it/s]

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overall:  88%|████████▊ | 3535/4000 [21:14<01:34,  4.95it/s]

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overall:  88%|████████▊ | 3536/4000 [21:15<01:36,  4.80it/s]

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overall:  88%|████████▊ | 3538/4000 [21:15<01:23,  5.50it/s]

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overall:  88%|████████▊ | 3539/4000 [21:15<01:28,  5.19it/s]

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overall:  88%|████████▊ | 3540/4000 [21:16<01:45,  4.34it/s]

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overall:  89%|████████▊ | 3541/4000 [21:16<01:43,  4.43it/s]

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overall:  89%|████████▊ | 3542/4000 [21:16<01:39,  4.59it/s]

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overall:  89%|████████▊ | 3543/4000 [21:16<01:28,  5.16it/s]

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overall:  89%|████████▊ | 3544/4000 [21:16<01:30,  5.02it/s]

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overall:  89%|████████▊ | 3546/4000 [21:17<01:22,  5.51it/s]

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overall:  89%|████████▊ | 3547/4000 [21:17<01:27,  5.20it/s]

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overall:  89%|████████▊ | 3548/4000 [21:17<01:31,  4.94it/s]

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overall:  89%|████████▊ | 3549/4000 [21:17<01:31,  4.92it/s]

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overall:  89%|████████▉ | 3550/4000 [21:17<01:28,  5.07it/s]

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overall:  89%|████████▉ | 3551/4000 [21:18<01:32,  4.83it/s]

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overall:  89%|████████▉ | 3552/4000 [21:18<01:50,  4.05it/s]

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overall:  89%|████████▉ | 3553/4000 [21:18<01:44,  4.26it/s]

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overall:  89%|████████▉ | 3554/4000 [21:18<01:41,  4.39it/s]

train:   1%|          | 39/3515 [00:09<13:11,  4.39it/s]
overall:  89%|████████▉ | 3555/4000 [21:19<01:25,  5.18it/s]

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overall:  89%|████████▉ | 3556/4000 [21:19<01:26,  5.15it/s]

train:   1%|          | 41/3515 [00:09<11:14,  5.15it/s]
overall:  89%|████████▉ | 3557/4000 [21:19<01:26,  5.11it/s]

train:   1%|          | 42/3515 [00:09<11:20,  5.11it/s]
overall:  89%|████████▉ | 3558/4000 [21:19<01:27,  5.05it/s]

train:   1%|          | 43/3515 [00:09<11:27,  5.05it/s]
overall:  89%|████████▉ | 3559/4000 [21:19<01:19,  5.58it/s]

train:   1%|▏         | 44/3515 [00:10<10:21,  5.58it/s]
overall:  89%|████████▉ | 3560/4000 [21:19<01:25,  5.13it/s]

train:   1%|▏         | 45/3515 [00:10<11:16,  5.13it/s]
overall:  89%|████████▉ | 3561/4000 [21:20<01:27,  5.01it/s]

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overall:  89%|████████▉ | 3562/4000 [21:20<01:29,  4.90it/s]

train:   1%|▏         | 47/3515 [00:10<11:47,  4.90it/s]
overall:  89%|████████▉ | 3563/4000 [21:20<01:21,  5.36it/s]

train:   1%|▏         | 48/3515 [00:10<10:46,  5.36it/s]
overall:  89%|████████▉ | 3564/4000 [21:20<01:44,  4.19it/s]

train:   1%|▏         | 49/3515 [00:11<13:48,  4.19it/s]
overall:  89%|████████▉ | 3565/4000 [21:21<01:28,  4.92it/s]

train:   1%|▏         | 50/3515 [00:11<11:44,  4.92it/s]
overall:  89%|████████▉ | 3566/4000 [21:21<01:29,  4.87it/s]

train:   1%|▏         | 51/3515 [00:11<11:51,  4.87it/s]
overall:  89%|████████▉ | 3567/4000 [21:21<01:33,  4.63it/s]

train:   1%|▏         | 52/3515 [00:11<12:27,  4.63it/s]
overall:  89%|████████▉ | 3568/4000 [21:21<01:18,  5.50it/s]

train:   2%|▏         | 53/3515 [00:11<10:29,  5.50it/s]
overall:  89%|████████▉ | 3569/4000 [21:21<01:21,  5.32it/s]

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overall:  89%|████████▉ | 3570/4000 [21:22<01:22,  5.22it/s]

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overall:  89%|████████▉ | 3571/4000 [21:22<01:24,  5.10it/s]

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overall:  89%|████████▉ | 3572/4000 [21:22<01:29,  4.78it/s]

train:   2%|▏         | 57/3515 [00:12<12:02,  4.78it/s]
overall:  89%|████████▉ | 3573/4000 [21:22<01:28,  4.83it/s]

train:   2%|▏         | 58/3515 [00:12<11:55,  4.83it/s]
overall:  89%|████████▉ | 3574/4000 [21:22<01:28,  4.81it/s]

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overall:  89%|████████▉ | 3575/4000 [21:23<01:29,  4.73it/s]

train:   2%|▏         | 60/3515 [00:13<12:10,  4.73it/s]
overall:  89%|████████▉ | 3576/4000 [21:23<01:49,  3.87it/s]

train:   2%|▏         | 61/3515 [00:13<14:51,  3.87it/s]
overall:  89%|████████▉ | 3577/4000 [21:23<01:40,  4.21it/s]

train:   2%|▏         | 62/3515 [00:13<13:39,  4.21it/s]
overall:  89%|████████▉ | 3578/4000 [21:23<01:35,  4.40it/s]

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overall:  89%|████████▉ | 3579/4000 [21:24<01:39,  4.23it/s]

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overall:  90%|████████▉ | 3580/4000 [21:24<01:40,  4.16it/s]

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overall:  90%|████████▉ | 3581/4000 [21:24<01:38,  4.27it/s]

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overall:  90%|████████▉ | 3582/4000 [21:24<01:35,  4.36it/s]

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overall:  90%|████████▉ | 3584/4000 [21:25<01:18,  5.30it/s]

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overall:  90%|████████▉ | 3586/4000 [21:25<01:08,  6.04it/s]

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overall:  90%|████████▉ | 3587/4000 [21:25<01:13,  5.63it/s]

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train:   3%|▎         | 103/3515 [00:22<12:26,  4.57it/s]
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train:   3%|▎         | 105/3515 [00:23<12:50,  4.43it/s]
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train:   3%|▎         | 108/3515 [00:23<12:17,  4.62it/s]
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train:   3%|▎         | 109/3515 [00:24<14:45,  3.85it/s]
overall:  91%|█████████ | 3625/4000 [21:33<01:31,  4.09it/s]

train:   3%|▎         | 110/3515 [00:24<13:52,  4.09it/s]
overall:  91%|█████████ | 3626/4000 [21:34<01:25,  4.37it/s]

train:   3%|▎         | 111/3515 [00:24<12:59,  4.37it/s]
overall:  91%|█████████ | 3627/4000 [21:34<01:27,  4.24it/s]

train:   3%|▎         | 112/3515 [00:24<13:22,  4.24it/s]
overall:  91%|█████████ | 3629/4000 [21:34<01:12,  5.09it/s]

train:   3%|▎         | 114/3515 [00:25<11:07,  5.09it/s]
overall:  91%|█████████ | 3630/4000 [21:34<01:13,  5.01it/s]

train:   3%|▎         | 115/3515 [00:25<11:18,  5.01it/s]
overall:  91%|█████████ | 3631/4000 [21:35<01:12,  5.11it/s]

train:   3%|▎         | 116/3515 [00:25<11:05,  5.11it/s]
overall:  91%|█████████ | 3632/4000 [21:35<01:15,  4.89it/s]

train:   3%|▎         | 117/3515 [00:25<11:35,  4.89it/s]
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overall:  91%|█████████ | 3635/4000 [21:35<01:17,  4.73it/s]

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overall:  91%|█████████ | 3639/4000 [21:36<01:26,  4.19it/s]

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overall:  91%|█████████ | 3643/4000 [21:37<01:18,  4.56it/s]

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overall:  91%|█████████ | 3645/4000 [21:38<01:28,  4.03it/s]

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overall:  91%|█████████ | 3648/4000 [21:38<01:08,  5.16it/s]

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overall:  91%|█████████ | 3649/4000 [21:39<01:09,  5.05it/s]

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overall:  91%|█████████▏| 3650/4000 [21:39<01:05,  5.35it/s]

train:   4%|▍         | 135/3515 [00:29<10:31,  5.35it/s]
overall:  91%|█████████▏| 3651/4000 [21:39<01:04,  5.42it/s]

train:   4%|▍         | 136/3515 [00:29<10:23,  5.42it/s]
overall:  91%|█████████▏| 3652/4000 [21:39<01:08,  5.10it/s]

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overall:  91%|█████████▏| 3653/4000 [21:39<01:10,  4.94it/s]

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overall:  91%|█████████▏| 3655/4000 [21:40<00:58,  5.85it/s]

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overall:  91%|█████████▏| 3658/4000 [21:40<01:14,  4.57it/s]

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overall:  91%|█████████▏| 3659/4000 [21:41<01:12,  4.69it/s]

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overall:  92%|█████████▏| 3660/4000 [21:41<01:15,  4.53it/s]

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overall:  92%|█████████▏| 3661/4000 [21:41<01:13,  4.59it/s]

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overall:  92%|█████████▏| 3663/4000 [21:41<01:02,  5.38it/s]

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overall:  92%|█████████▏| 3664/4000 [21:42<01:05,  5.15it/s]

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overall:  92%|█████████▏| 3666/4000 [21:42<01:07,  4.97it/s]

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overall:  92%|█████████▏| 3668/4000 [21:42<00:49,  6.77it/s]

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overall: 100%|█████████▉| 3999/4000 [22:53<00:00,  4.13it/s]

train:  14%|█▍        | 484/3515 [01:43<12:13,  4.13it/s]train loss: 1.9613800048828125
train per: 0.5212932955235974
train loss: 1.9437280893325806
train per: 0.5229026528056842
train loss: 1.9453914165496826
train per: 0.5239161978463966
train loss: 2.0117363929748535
train per: 0.5306382978723404
train loss: 1.9909589290618896
train per: 0.5303902426655172
train loss: 1.973703145980835
train per: 0.5255284310806788
train loss: 1.9755703210830688
train per: 0.5197016637980494
train loss: 1.9507958889007568
train per: 0.5201133289090816
train loss: 1.9883582592010498
train per: 0.5417006317505604
train loss: 1.9734026193618774
train per: 0.531364551603077
train loss: 1.9819364547729492
train per: 0.5294240129096067
train loss: 2.0105397701263428
train per: 0.5260821062025881
train loss: 1.9482847452163696
train per: 0.5217895400126024
train loss: 1.9781694412231445
train per: 0.5233496045315722
train loss: 2.0110931396484375
train per: 0.5360090504718072
train loss: 1.9560836553573608
train per: 0.5261126767715236
train loss: 1.9363523721694946
train per: 0.5234224915028817
train loss: 1.9597408771514893
train per: 0.5209155297808623
train loss: 1.977889060974121
train per: 0.5262742389105443
train loss: 1.9320179224014282
train per: 0.510012851968688
train loss: 1.9586505889892578
train per: 0.5210877085877086
train loss: 1.9514353275299072
train per: 0.5219280829472756
train loss: 1.9785163402557373
train per: 0.5274898119682563
train loss: 1.9634116888046265
train per: 0.518381637813655
train loss: 1.9493945837020874
train per: 0.5183533957497399
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 414/2703 [00:00<00:00, 4135.16it/s]


word -> phonemes:  34%|███▍      | 925/2703 [00:00<00:00, 4707.14it/s]


word -> phonemes:  52%|█████▏    | 1396/2703 [00:00<00:00, 4510.54it/s]


word -> phonemes:  70%|███████   | 1893/2703 [00:00<00:00, 4683.57it/s]


word -> phonemes:  87%|████████▋ | 2363/2703 [00:00<00:00, 4517.78it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4641.29it/s]



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dev: 100%|██████████| 2703/2703 [02:56<00:00, 15.33it/s]

                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [25:51<00:00,  4.13it/s]

train:  14%|█▍        | 484/3515 [04:41<12:13,  4.13it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [25:51<00:00,  4.13it/s]

train:  14%|█▍        | 484/3515 [04:41<12:13,  4.13it/s]
overall: 100%|██████████| 4000/4000 [25:51<00:00, 48.51s/it]

train:  14%|█▍        | 485/3515 [04:41<40:49:45, 48.51s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:42<29:22,  1.72it/s]   

overall: 100%|██████████| 4000/4000 [25:51<00:00,  2.58it/s]
dev loss: 2.282118797302246
dev per: 0.5719719042663892
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt