/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:  10%|█         | 353/3515 [00:00<00:00, 3529.15it/s]

word -> phonemes:  24%|██▎       | 827/3515 [00:00<00:00, 4240.96it/s]

word -> phonemes:  38%|███▊      | 1320/3515 [00:00<00:00, 4555.37it/s]

word -> phonemes:  51%|█████     | 1799/3515 [00:00<00:00, 4645.47it/s]

word -> phonemes:  64%|██████▍   | 2264/3515 [00:00<00:00, 4306.72it/s]

word -> phonemes:  77%|███████▋  | 2719/3515 [00:00<00:00, 4382.29it/s]

word -> phonemes:  91%|█████████ | 3186/3515 [00:00<00:00, 4472.64it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4380.85it/s]


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train:   4%|▍         | 155/3515 [00:32<10:38,  5.26it/s]
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train:   4%|▍         | 157/3515 [00:33<10:12,  5.48it/s]
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train:   5%|▍         | 159/3515 [00:33<10:43,  5.21it/s]
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train:   5%|▍         | 160/3515 [00:33<10:59,  5.09it/s]
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train:   5%|▍         | 163/3515 [00:34<11:45,  4.75it/s]
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train:   5%|▍         | 164/3515 [00:34<11:38,  4.80it/s]
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train:   5%|▍         | 165/3515 [00:34<11:27,  4.88it/s]
overall:   4%|▍         | 166/4000 [00:37<17:55,  3.56it/s]

train:   5%|▍         | 166/3515 [00:35<15:39,  3.56it/s]
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train:   5%|▍         | 167/3515 [00:35<14:20,  3.89it/s]
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train:   5%|▍         | 168/3515 [00:35<13:26,  4.15it/s]
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train:   5%|▍         | 169/3515 [00:35<12:50,  4.34it/s]
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train:   5%|▍         | 170/3515 [00:36<12:15,  4.55it/s]
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train:   5%|▍         | 171/3515 [00:36<11:40,  4.77it/s]
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train:   5%|▍         | 173/3515 [00:36<08:59,  6.19it/s]
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train:   5%|▌         | 183/3515 [00:38<11:52,  4.68it/s]
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train:   5%|▌         | 186/3515 [00:39<10:58,  5.06it/s]
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train:   5%|▌         | 187/3515 [00:39<10:58,  5.05it/s]
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train:   5%|▌         | 188/3515 [00:39<11:05,  5.00it/s]
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train:   5%|▌         | 189/3515 [00:39<11:09,  4.97it/s]
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train:   5%|▌         | 190/3515 [00:40<15:39,  3.54it/s]
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train:   5%|▌         | 191/3515 [00:40<14:12,  3.90it/s]
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train:   5%|▌         | 192/3515 [00:40<13:22,  4.14it/s]
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train:   5%|▌         | 193/3515 [00:40<12:42,  4.36it/s]
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train:   6%|▌         | 194/3515 [00:41<12:08,  4.56it/s]
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train:   6%|▌         | 195/3515 [00:41<11:12,  4.94it/s]
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overall:  11%|█         | 449/4000 [01:36<12:20,  4.79it/s]

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overall:  11%|█▏        | 452/4000 [01:37<11:49,  5.00it/s]

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overall:  11%|█▏        | 453/4000 [01:37<11:47,  5.01it/s]

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overall:  11%|█▏        | 457/4000 [01:38<15:54,  3.71it/s]

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overall:  13%|█▎        | 535/4000 [01:54<11:05,  5.21it/s]

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overall:  13%|█▎        | 536/4000 [01:55<10:33,  5.46it/s]

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overall:  13%|█▎        | 537/4000 [01:55<11:03,  5.22it/s]

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overall:  13%|█▎        | 538/4000 [01:55<09:55,  5.82it/s]

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overall:  13%|█▎        | 539/4000 [01:55<10:29,  5.50it/s]

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overall:  14%|█▎        | 541/4000 [01:56<11:02,  5.22it/s]

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overall:  14%|█▎        | 542/4000 [01:56<11:20,  5.08it/s]

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overall:  14%|█▎        | 543/4000 [01:56<11:27,  5.03it/s]

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overall:  14%|█▎        | 545/4000 [01:56<11:40,  4.93it/s]

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overall:  14%|█▎        | 546/4000 [01:57<11:48,  4.87it/s]

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overall:  14%|█▎        | 547/4000 [01:57<11:27,  5.02it/s]

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overall:  14%|█▎        | 548/4000 [01:57<11:25,  5.03it/s]

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overall:  14%|█▎        | 549/4000 [01:57<11:35,  4.96it/s]

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overall:  14%|█▍        | 550/4000 [01:58<17:57,  3.20it/s]

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overall:  14%|█▍        | 551/4000 [01:58<16:12,  3.55it/s]

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overall:  14%|█▍        | 552/4000 [01:58<15:05,  3.81it/s]

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overall:  14%|█▍        | 553/4000 [01:58<14:04,  4.08it/s]

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overall:  14%|█▍        | 554/4000 [01:59<13:26,  4.27it/s]

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overall:  14%|█▍        | 555/4000 [01:59<13:05,  4.38it/s]

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overall:  14%|█▍        | 556/4000 [01:59<12:40,  4.53it/s]

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overall:  25%|██▍       | 999/4000 [03:31<11:15,  4.44it/s]

train:  28%|██▊       | 999/3515 [03:29<09:26,  4.44it/s]train loss: 3.7293381690979004
train per: 0.872652755082907
train loss: 2.4597837924957275
train per: 0.6364798854249252
train loss: 2.2997357845306396
train per: 0.6042364301845651
train loss: 2.2351088523864746
train per: 0.5831317324097889
train loss: 2.2097973823547363
train per: 0.5756837071086967
train loss: 2.1571314334869385
train per: 0.5700726001613337
train loss: 2.1070644855499268
train per: 0.557981266465021
train loss: 2.1942267417907715
train per: 0.572791538216222
train loss: 2.074852705001831
train per: 0.5508977665320423
train loss: 2.071115255355835
train per: 0.5474924636886819
train loss: 2.0589003562927246
train per: 0.5540665069376793
train loss: 2.0796401500701904
train per: 0.5505400852244574
train loss: 2.1547725200653076
train per: 0.5689192371085472
train loss: 2.0737318992614746
train per: 0.5454525094622741
train loss: 2.005405902862549
train per: 0.5353299898754444
train loss: 2.0269148349761963
train per: 0.5422056770590973
train loss: 2.0098538398742676
train per: 0.5367707058343534
train loss: 2.026334285736084
train per: 0.5431080287480075
train loss: 2.061131000518799
train per: 0.5455722352293073
train loss: 2.010533094406128
train per: 0.542797442223453
train loss: 1.982414960861206
train per: 0.5307159239438703
train loss: 2.030196189880371
train per: 0.5373314246967528
train loss: 2.034393310546875
train per: 0.5293381351838026
train loss: 2.041734218597412
train per: 0.538897562147232
train loss: 2.0183022022247314
train per: 0.5333273886486245
train loss: 1.9641929864883423
train per: 0.5260167850225952
train loss: 2.019932985305786
train per: 0.5363761829652997
train loss: 1.970444679260254
train per: 0.5245711161232999
train loss: 1.9745457172393799
train per: 0.5226393391195232
train loss: 1.9970226287841797
train per: 0.5343462443826236
train loss: 2.0214030742645264
train per: 0.5340682565986983
train loss: 1.964697241783142
train per: 0.5260863175427424
train loss: 2.0106682777404785
train per: 0.5355859419143406
train loss: 2.001173734664917
train per: 0.5327425809469363
train loss: 1.9780648946762085
train per: 0.5318104999182249
train loss: 1.9804344177246094
train per: 0.5345492809540512
train loss: 2.0392229557037354
train per: 0.5335397316821465
train loss: 2.028228521347046
train per: 0.5342251144854182
train loss: 2.016850233078003
train per: 0.5330269818646484
train loss: 2.0093369483947754
train per: 0.5325033285837752
train loss: 1.971085548400879
train per: 0.5272703203600742
train loss: 1.959547996520996
train per: 0.5245780763558906
train loss: 1.989990472793579
train per: 0.5292110327132777
train loss: 2.023637533187866
train per: 0.537555898031884
train loss: 1.9732706546783447
train per: 0.5248643875362684
train loss: 1.9735181331634521
train per: 0.5236396890717878
train loss: 1.9945459365844727
train per: 0.5329886246122026
train loss: 2.0055394172668457
train per: 0.5350287519235442
train loss: 1.976894736289978
train per: 0.524079122108059
train loss: 1.9481313228607178
train per: 0.5186896262074758
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 321/2703 [00:00<00:00, 3127.56it/s]


word -> phonemes:  25%|██▍       | 669/2703 [00:00<00:00, 3324.88it/s]


word -> phonemes:  37%|███▋      | 1002/2703 [00:00<00:00, 3010.02it/s]


word -> phonemes:  54%|█████▍    | 1472/2703 [00:00<00:00, 3630.75it/s]


word -> phonemes:  68%|██████▊   | 1842/2703 [00:00<00:00, 3416.01it/s]


word -> phonemes:  83%|████████▎ | 2241/2703 [00:00<00:00, 3567.61it/s]


word -> phonemes:  98%|█████████▊| 2651/2703 [00:00<00:00, 3731.55it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3558.79it/s]



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overall:  46%|████▋     | 1858/4000 [09:27<08:10,  4.37it/s]

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overall:  47%|████▋     | 1872/4000 [09:30<07:43,  4.59it/s]

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overall:  47%|████▋     | 1874/4000 [09:30<07:31,  4.71it/s]

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overall:  47%|████▋     | 1875/4000 [09:30<07:33,  4.68it/s]

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overall:  47%|████▋     | 1877/4000 [09:31<07:01,  5.04it/s]

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overall:  47%|████▋     | 1878/4000 [09:31<08:14,  4.29it/s]

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overall:  47%|████▋     | 1879/4000 [09:31<08:21,  4.23it/s]

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overall:  47%|████▋     | 1880/4000 [09:31<09:22,  3.77it/s]

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overall:  47%|████▋     | 1881/4000 [09:32<08:40,  4.07it/s]

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overall:  47%|████▋     | 1882/4000 [09:32<08:18,  4.25it/s]

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overall:  47%|████▋     | 1883/4000 [09:32<08:26,  4.18it/s]

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overall:  47%|████▋     | 1884/4000 [09:32<08:13,  4.29it/s]

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overall:  47%|████▋     | 1885/4000 [09:33<07:58,  4.42it/s]

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overall:  47%|████▋     | 1886/4000 [09:33<08:01,  4.39it/s]

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overall:  47%|████▋     | 1887/4000 [09:33<07:52,  4.47it/s]

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overall:  47%|████▋     | 1888/4000 [09:33<08:00,  4.39it/s]

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overall:  47%|████▋     | 1889/4000 [09:33<07:46,  4.52it/s]

train:  54%|█████▎    | 1889/3515 [09:31<05:59,  4.52it/s]
overall:  47%|████▋     | 1890/4000 [09:34<07:06,  4.94it/s]

train:  54%|█████▍    | 1890/3515 [09:31<05:28,  4.94it/s]
overall:  47%|████▋     | 1891/4000 [09:34<07:12,  4.88it/s]

train:  54%|█████▍    | 1891/3515 [09:32<05:32,  4.88it/s]
overall:  47%|████▋     | 1892/4000 [09:34<07:15,  4.84it/s]

train:  54%|█████▍    | 1892/3515 [09:32<05:35,  4.84it/s]
overall:  47%|████▋     | 1893/4000 [09:34<07:22,  4.76it/s]

train:  54%|█████▍    | 1893/3515 [09:32<05:40,  4.76it/s]
overall:  47%|████▋     | 1894/4000 [09:34<07:21,  4.77it/s]

train:  54%|█████▍    | 1894/3515 [09:32<05:40,  4.77it/s]
overall:  47%|████▋     | 1895/4000 [09:35<07:46,  4.51it/s]

train:  54%|█████▍    | 1895/3515 [09:32<05:59,  4.51it/s]
overall:  47%|████▋     | 1897/4000 [09:35<06:42,  5.23it/s]

train:  54%|█████▍    | 1897/3515 [09:33<05:09,  5.23it/s]
overall:  47%|████▋     | 1898/4000 [09:35<07:00,  5.00it/s]

train:  54%|█████▍    | 1898/3515 [09:33<05:23,  5.00it/s]
overall:  47%|████▋     | 1899/4000 [09:35<07:03,  4.96it/s]

train:  54%|█████▍    | 1899/3515 [09:33<05:26,  4.96it/s]
overall:  48%|████▊     | 1900/4000 [09:36<07:15,  4.82it/s]

train:  54%|█████▍    | 1900/3515 [09:33<05:34,  4.82it/s]
overall:  48%|████▊     | 1901/4000 [09:36<07:04,  4.94it/s]

train:  54%|█████▍    | 1901/3515 [09:34<05:26,  4.94it/s]
overall:  48%|████▊     | 1902/4000 [09:36<07:28,  4.68it/s]

train:  54%|█████▍    | 1902/3515 [09:34<05:44,  4.68it/s]
overall:  48%|████▊     | 1903/4000 [09:36<07:50,  4.46it/s]

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overall:  48%|████▊     | 1904/4000 [09:37<08:44,  3.99it/s]

train:  54%|█████▍    | 1904/3515 [09:34<06:43,  3.99it/s]
overall:  48%|████▊     | 1905/4000 [09:37<07:17,  4.79it/s]

train:  54%|█████▍    | 1905/3515 [09:35<05:36,  4.79it/s]
overall:  48%|████▊     | 1906/4000 [09:37<07:21,  4.74it/s]

train:  54%|█████▍    | 1906/3515 [09:35<05:39,  4.74it/s]
overall:  48%|████▊     | 1907/4000 [09:37<06:50,  5.10it/s]

train:  54%|█████▍    | 1907/3515 [09:35<05:15,  5.10it/s]
overall:  48%|████▊     | 1908/4000 [09:37<06:52,  5.08it/s]

train:  54%|█████▍    | 1908/3515 [09:35<05:16,  5.08it/s]
overall:  48%|████▊     | 1909/4000 [09:38<06:58,  4.99it/s]

train:  54%|█████▍    | 1909/3515 [09:35<05:21,  4.99it/s]
overall:  48%|████▊     | 1910/4000 [09:38<07:06,  4.91it/s]

train:  54%|█████▍    | 1910/3515 [09:36<05:27,  4.91it/s]
overall:  48%|████▊     | 1911/4000 [09:38<06:18,  5.52it/s]

train:  54%|█████▍    | 1911/3515 [09:36<04:50,  5.52it/s]
overall:  48%|████▊     | 1913/4000 [09:38<05:58,  5.82it/s]

train:  54%|█████▍    | 1913/3515 [09:36<04:35,  5.82it/s]
overall:  48%|████▊     | 1914/4000 [09:38<06:11,  5.61it/s]

train:  54%|█████▍    | 1914/3515 [09:36<04:45,  5.61it/s]
overall:  48%|████▊     | 1915/4000 [09:39<06:31,  5.33it/s]

train:  54%|█████▍    | 1915/3515 [09:36<05:00,  5.33it/s]
overall:  48%|████▊     | 1916/4000 [09:39<06:04,  5.71it/s]

train:  55%|█████▍    | 1916/3515 [09:37<04:40,  5.71it/s]
overall:  48%|████▊     | 1917/4000 [09:39<06:26,  5.39it/s]

train:  55%|█████▍    | 1917/3515 [09:37<04:56,  5.39it/s]
overall:  48%|████▊     | 1918/4000 [09:39<06:27,  5.38it/s]

train:  55%|█████▍    | 1918/3515 [09:37<04:56,  5.38it/s]
overall:  48%|████▊     | 1919/4000 [09:39<07:45,  4.47it/s]

train:  55%|█████▍    | 1919/3515 [09:37<05:56,  4.47it/s]
overall:  48%|████▊     | 1920/4000 [09:40<07:38,  4.54it/s]

train:  55%|█████▍    | 1920/3515 [09:37<05:51,  4.54it/s]
overall:  48%|████▊     | 1921/4000 [09:40<07:33,  4.59it/s]

train:  55%|█████▍    | 1921/3515 [09:38<05:47,  4.59it/s]
overall:  48%|████▊     | 1922/4000 [09:40<07:31,  4.60it/s]

train:  55%|█████▍    | 1922/3515 [09:38<05:46,  4.60it/s]
overall:  48%|████▊     | 1923/4000 [09:40<07:17,  4.75it/s]

train:  55%|█████▍    | 1923/3515 [09:38<05:34,  4.75it/s]
overall:  48%|████▊     | 1924/4000 [09:41<07:27,  4.64it/s]

train:  55%|█████▍    | 1924/3515 [09:38<05:42,  4.64it/s]
overall:  48%|████▊     | 1925/4000 [09:41<07:03,  4.90it/s]

train:  55%|█████▍    | 1925/3515 [09:38<05:24,  4.90it/s]
overall:  48%|████▊     | 1926/4000 [09:41<07:56,  4.35it/s]

train:  55%|█████▍    | 1926/3515 [09:39<06:05,  4.35it/s]
overall:  48%|████▊     | 1927/4000 [09:41<07:55,  4.36it/s]

train:  55%|█████▍    | 1927/3515 [09:39<06:03,  4.36it/s]
overall:  48%|████▊     | 1928/4000 [09:41<07:34,  4.56it/s]

train:  55%|█████▍    | 1928/3515 [09:39<05:47,  4.56it/s]
overall:  48%|████▊     | 1929/4000 [09:42<07:25,  4.65it/s]

train:  55%|█████▍    | 1929/3515 [09:39<05:40,  4.65it/s]
overall:  48%|████▊     | 1930/4000 [09:42<07:27,  4.63it/s]

train:  55%|█████▍    | 1930/3515 [09:40<05:42,  4.63it/s]
overall:  48%|████▊     | 1931/4000 [09:42<07:41,  4.48it/s]

train:  55%|█████▍    | 1931/3515 [09:40<05:53,  4.48it/s]
overall:  48%|████▊     | 1932/4000 [09:42<07:35,  4.54it/s]

train:  55%|█████▍    | 1932/3515 [09:40<05:48,  4.54it/s]
overall:  48%|████▊     | 1933/4000 [09:43<07:26,  4.63it/s]

train:  55%|█████▍    | 1933/3515 [09:40<05:41,  4.63it/s]
overall:  48%|████▊     | 1934/4000 [09:43<07:27,  4.62it/s]

train:  55%|█████▌    | 1934/3515 [09:41<05:42,  4.62it/s]
overall:  48%|████▊     | 1935/4000 [09:43<07:31,  4.57it/s]

train:  55%|█████▌    | 1935/3515 [09:41<05:45,  4.57it/s]
overall:  48%|████▊     | 1936/4000 [09:43<06:33,  5.24it/s]

train:  55%|█████▌    | 1936/3515 [09:41<05:01,  5.24it/s]
overall:  48%|████▊     | 1937/4000 [09:43<06:33,  5.24it/s]

train:  55%|█████▌    | 1937/3515 [09:41<05:01,  5.24it/s]
overall:  48%|████▊     | 1938/4000 [09:43<06:34,  5.23it/s]

train:  55%|█████▌    | 1938/3515 [09:41<05:01,  5.23it/s]
overall:  48%|████▊     | 1939/4000 [09:44<06:48,  5.05it/s]

train:  55%|█████▌    | 1939/3515 [09:41<05:12,  5.05it/s]
overall:  48%|████▊     | 1940/4000 [09:44<06:48,  5.05it/s]

train:  55%|█████▌    | 1940/3515 [09:42<05:12,  5.05it/s]
overall:  49%|████▊     | 1941/4000 [09:44<06:38,  5.17it/s]

train:  55%|█████▌    | 1941/3515 [09:42<05:04,  5.17it/s]
overall:  49%|████▊     | 1942/4000 [09:44<06:50,  5.01it/s]

train:  55%|█████▌    | 1942/3515 [09:42<05:13,  5.01it/s]
overall:  49%|████▊     | 1943/4000 [09:45<11:10,  3.07it/s]

train:  55%|█████▌    | 1943/3515 [09:43<08:32,  3.07it/s]
overall:  49%|████▊     | 1945/4000 [09:45<08:32,  4.01it/s]

train:  55%|█████▌    | 1945/3515 [09:43<06:31,  4.01it/s]
overall:  49%|████▊     | 1946/4000 [09:45<08:22,  4.08it/s]

train:  55%|█████▌    | 1946/3515 [09:43<06:24,  4.08it/s]
overall:  49%|████▊     | 1948/4000 [09:46<06:59,  4.89it/s]

train:  55%|█████▌    | 1948/3515 [09:44<05:20,  4.89it/s]
overall:  49%|████▊     | 1949/4000 [09:46<07:03,  4.84it/s]

train:  55%|█████▌    | 1949/3515 [09:44<05:23,  4.84it/s]
overall:  49%|████▉     | 1950/4000 [09:46<07:12,  4.74it/s]

train:  55%|█████▌    | 1950/3515 [09:44<05:29,  4.74it/s]
overall:  49%|████▉     | 1951/4000 [09:46<07:15,  4.71it/s]

train:  56%|█████▌    | 1951/3515 [09:44<05:32,  4.71it/s]
overall:  49%|████▉     | 1952/4000 [09:47<07:14,  4.71it/s]

train:  56%|█████▌    | 1952/3515 [09:44<05:31,  4.71it/s]
overall:  49%|████▉     | 1953/4000 [09:47<07:15,  4.70it/s]

train:  56%|█████▌    | 1953/3515 [09:45<05:32,  4.70it/s]
overall:  49%|████▉     | 1954/4000 [09:47<07:20,  4.65it/s]

train:  56%|█████▌    | 1954/3515 [09:45<05:35,  4.65it/s]
overall:  49%|████▉     | 1955/4000 [09:47<07:13,  4.71it/s]

train:  56%|█████▌    | 1955/3515 [09:45<05:30,  4.71it/s]
overall:  49%|████▉     | 1956/4000 [09:47<07:03,  4.83it/s]

train:  56%|█████▌    | 1956/3515 [09:45<05:23,  4.83it/s]
overall:  49%|████▉     | 1957/4000 [09:48<07:11,  4.74it/s]

train:  56%|█████▌    | 1957/3515 [09:45<05:28,  4.74it/s]
overall:  49%|████▉     | 1958/4000 [09:48<07:11,  4.73it/s]

train:  56%|█████▌    | 1958/3515 [09:46<05:29,  4.73it/s]
overall:  49%|████▉     | 1959/4000 [09:48<07:20,  4.63it/s]

train:  56%|█████▌    | 1959/3515 [09:46<05:35,  4.63it/s]
overall:  49%|████▉     | 1960/4000 [09:48<07:22,  4.61it/s]

train:  56%|█████▌    | 1960/3515 [09:46<05:37,  4.61it/s]
overall:  49%|████▉     | 1961/4000 [09:49<07:28,  4.55it/s]

train:  56%|█████▌    | 1961/3515 [09:46<05:41,  4.55it/s]
overall:  49%|████▉     | 1962/4000 [09:49<07:25,  4.58it/s]

train:  56%|█████▌    | 1962/3515 [09:47<05:39,  4.58it/s]
overall:  49%|████▉     | 1963/4000 [09:49<07:27,  4.55it/s]

train:  56%|█████▌    | 1963/3515 [09:47<05:40,  4.55it/s]
overall:  49%|████▉     | 1964/4000 [09:49<07:10,  4.73it/s]

train:  56%|█████▌    | 1964/3515 [09:47<05:27,  4.73it/s]
overall:  49%|████▉     | 1965/4000 [09:49<07:09,  4.74it/s]

train:  56%|█████▌    | 1965/3515 [09:47<05:27,  4.74it/s]
overall:  49%|████▉     | 1966/4000 [09:50<06:58,  4.86it/s]

train:  56%|█████▌    | 1966/3515 [09:47<05:18,  4.86it/s]
overall:  49%|████▉     | 1967/4000 [09:50<08:49,  3.84it/s]

train:  56%|█████▌    | 1967/3515 [09:48<06:42,  3.84it/s]
overall:  49%|████▉     | 1968/4000 [09:50<07:56,  4.26it/s]

train:  56%|█████▌    | 1968/3515 [09:48<06:02,  4.26it/s]
overall:  49%|████▉     | 1969/4000 [09:50<07:49,  4.33it/s]

train:  56%|█████▌    | 1969/3515 [09:48<05:57,  4.33it/s]
overall:  49%|████▉     | 1970/4000 [09:51<07:44,  4.37it/s]

train:  56%|█████▌    | 1970/3515 [09:48<05:53,  4.37it/s]
overall:  49%|████▉     | 1971/4000 [09:51<07:34,  4.46it/s]

train:  56%|█████▌    | 1971/3515 [09:49<05:45,  4.46it/s]
overall:  49%|████▉     | 1972/4000 [09:51<07:22,  4.59it/s]

train:  56%|█████▌    | 1972/3515 [09:49<05:36,  4.59it/s]
overall:  49%|████▉     | 1973/4000 [09:51<07:17,  4.63it/s]

train:  56%|█████▌    | 1973/3515 [09:49<05:32,  4.63it/s]
overall:  49%|████▉     | 1974/4000 [09:51<07:17,  4.64it/s]

train:  56%|█████▌    | 1974/3515 [09:49<05:32,  4.64it/s]
overall:  49%|████▉     | 1975/4000 [09:52<07:18,  4.62it/s]

train:  56%|█████▌    | 1975/3515 [09:49<05:33,  4.62it/s]
overall:  49%|████▉     | 1976/4000 [09:52<07:09,  4.71it/s]

train:  56%|█████▌    | 1976/3515 [09:50<05:26,  4.71it/s]
overall:  49%|████▉     | 1977/4000 [09:52<07:11,  4.68it/s]

train:  56%|█████▌    | 1977/3515 [09:50<05:28,  4.68it/s]
overall:  49%|████▉     | 1978/4000 [09:52<07:05,  4.76it/s]

train:  56%|█████▋    | 1978/3515 [09:50<05:23,  4.76it/s]
overall:  49%|████▉     | 1979/4000 [09:52<06:34,  5.12it/s]

train:  56%|█████▋    | 1979/3515 [09:50<04:59,  5.12it/s]
overall:  50%|████▉     | 1980/4000 [09:53<06:48,  4.94it/s]

train:  56%|█████▋    | 1980/3515 [09:50<05:10,  4.94it/s]
overall:  50%|████▉     | 1981/4000 [09:53<06:13,  5.41it/s]

train:  56%|█████▋    | 1981/3515 [09:51<04:43,  5.41it/s]
overall:  50%|████▉     | 1982/4000 [09:53<06:13,  5.41it/s]

train:  56%|█████▋    | 1982/3515 [09:51<04:43,  5.41it/s]
overall:  50%|████▉     | 1984/4000 [09:53<05:38,  5.95it/s]

train:  56%|█████▋    | 1984/3515 [09:51<04:17,  5.95it/s]
overall:  50%|████▉     | 1985/4000 [09:53<05:59,  5.60it/s]

train:  56%|█████▋    | 1985/3515 [09:51<04:33,  5.60it/s]
overall:  50%|████▉     | 1986/4000 [09:54<05:20,  6.29it/s]

train:  57%|█████▋    | 1986/3515 [09:51<04:03,  6.29it/s]
overall:  50%|████▉     | 1987/4000 [09:54<05:43,  5.86it/s]

train:  57%|█████▋    | 1987/3515 [09:52<04:20,  5.86it/s]
overall:  50%|████▉     | 1988/4000 [09:54<06:08,  5.45it/s]

train:  57%|█████▋    | 1988/3515 [09:52<04:40,  5.45it/s]
overall:  50%|████▉     | 1989/4000 [09:54<06:27,  5.19it/s]

train:  57%|█████▋    | 1989/3515 [09:52<04:53,  5.19it/s]
overall:  50%|████▉     | 1990/4000 [09:54<06:43,  4.98it/s]

train:  57%|█████▋    | 1990/3515 [09:52<05:05,  4.98it/s]
overall:  50%|████▉     | 1991/4000 [09:55<10:36,  3.15it/s]

train:  57%|█████▋    | 1991/3515 [09:53<08:03,  3.15it/s]
overall:  50%|████▉     | 1992/4000 [09:55<08:41,  3.85it/s]

train:  57%|█████▋    | 1992/3515 [09:53<06:35,  3.85it/s]
overall:  50%|████▉     | 1993/4000 [09:55<08:14,  4.06it/s]

train:  57%|█████▋    | 1993/3515 [09:53<06:15,  4.06it/s]
overall:  50%|████▉     | 1994/4000 [09:56<07:51,  4.25it/s]

train:  57%|█████▋    | 1994/3515 [09:53<05:57,  4.25it/s]
overall:  50%|████▉     | 1995/4000 [09:56<07:40,  4.36it/s]

train:  57%|█████▋    | 1995/3515 [09:54<05:48,  4.36it/s]
overall:  50%|████▉     | 1996/4000 [09:56<07:21,  4.54it/s]

train:  57%|█████▋    | 1996/3515 [09:54<05:34,  4.54it/s]
overall:  50%|████▉     | 1997/4000 [09:56<07:25,  4.50it/s]

train:  57%|█████▋    | 1997/3515 [09:54<05:37,  4.50it/s]
overall:  50%|████▉     | 1998/4000 [09:56<07:16,  4.58it/s]

train:  57%|█████▋    | 1998/3515 [09:54<05:30,  4.58it/s]
overall:  50%|████▉     | 1999/4000 [09:57<07:14,  4.60it/s]

train:  57%|█████▋    | 1999/3515 [09:54<05:29,  4.60it/s]dev loss: 2.252044200897217
dev per: 0.5637825182101978
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9732944965362549
train per: 0.5292393967716674
train loss: 1.957007646560669
train per: 0.5292583280955374
train loss: 2.018012523651123
train per: 0.5287251504650738
train loss: 1.9657199382781982
train per: 0.5310217960867384
train loss: 2.0249176025390625
train per: 0.5277047289504037
train loss: 1.9967752695083618
train per: 0.5296514896008994
train loss: 1.9595355987548828
train per: 0.5225187872505831
train loss: 1.965787649154663
train per: 0.5182850253679611
train loss: 1.9694693088531494
train per: 0.5214003145703255
train loss: 1.9621912240982056
train per: 0.5221428198842001
train loss: 2.005156993865967
train per: 0.5275503378923818
train loss: 1.9455089569091797
train per: 0.5211342447224772
train loss: 1.98037588596344
train per: 0.5234117944824095
train loss: 1.9316718578338623
train per: 0.5170883266755437
train loss: 1.9626436233520508
train per: 0.5223407321994811
train loss: 2.009368658065796
train per: 0.5273949252422929
train loss: 1.9853872060775757
train per: 0.526356500966898
train loss: 1.929380178451538
train per: 0.516325447588191
train loss: 1.9851112365722656
train per: 0.5258667634779451
train loss: 1.975309133529663
train per: 0.5237864637380376
train loss: 1.93520987033844
train per: 0.5216260641299281
train loss: 1.9482437372207642
train per: 0.5220417633410673
train loss: 1.9264333248138428
train per: 0.5215733015494637
train loss: 1.9935210943222046
train per: 0.5227769333079992
train loss: 2.0084307193756104
train per: 0.5313281990233474
train loss: 1.982892632484436
train per: 0.5265793705490467
train loss: 1.9530360698699951
train per: 0.5196973790867333
train loss: 2.0183701515197754
train per: 0.5349343428368627
train loss: 1.9807370901107788
train per: 0.5250520212293376
train loss: 1.9788414239883423
train per: 0.5268017629822963
train loss: 1.9623279571533203
train per: 0.5258689239451071
train loss: 1.9878644943237305
train per: 0.5318693611536685
train loss: 1.988231897354126
train per: 0.5281595940959409
train loss: 1.9811763763427734
train per: 0.5285217746882028
train loss: 1.93623948097229
train per: 0.5167386739398036
train loss: 1.9276113510131836
train per: 0.5295164550088987
train loss: 1.99020516872406
train per: 0.535543639838607
train loss: 1.9514057636260986
train per: 0.5267141474551456
train loss: 1.943871259689331
train per: 0.5208276613122788
train loss: 2.0300111770629883
train per: 0.5292105749676466
train loss: 1.996720552444458
train per: 0.523355662455604
train loss: 1.9774284362792969
train per: 0.5237360489636373
train loss: 1.9528405666351318
train per: 0.5222067317267477
train loss: 1.9113352298736572
train per: 0.514913341394599
train loss: 1.9585434198379517
train per: 0.5189080019499965
train loss: 1.9618850946426392
train per: 0.5248601033494873
train loss: 1.9551875591278076
train per: 0.5218424962852898
train loss: 2.0174930095672607
train per: 0.5301997867705002
train loss: 1.9199607372283936
train per: 0.51112911681998
train loss: 1.9611589908599854
train per: 0.5167372624954617
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 355/2703 [00:00<00:00, 3544.46it/s]


word -> phonemes:  28%|██▊       | 754/2703 [00:00<00:00, 3805.63it/s]


word -> phonemes:  42%|████▏     | 1135/2703 [00:00<00:00, 3570.28it/s]


word -> phonemes:  61%|██████    | 1636/2703 [00:00<00:00, 4115.19it/s]


word -> phonemes:  76%|███████▌  | 2051/2703 [00:00<00:00, 3989.93it/s]


word -> phonemes:  92%|█████████▏| 2485/2703 [00:00<00:00, 4102.79it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4052.19it/s]



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dev: 100%|██████████| 2703/2703 [02:57<00:00, 15.27it/s]

                                                            

                                                          

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overall:  50%|█████     | 2010/4000 [12:58<57:30,  1.73s/it]  

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train:  57%|█████▋    | 2017/3515 [12:58<09:24,  2.66it/s]
overall:  50%|█████     | 2019/4000 [13:00<08:13,  4.02it/s]

train:  57%|█████▋    | 2019/3515 [12:58<06:12,  4.02it/s]
overall:  50%|█████     | 2020/4000 [13:01<08:05,  4.08it/s]

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overall:  51%|█████     | 2021/4000 [13:01<07:34,  4.35it/s]

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overall:  51%|█████     | 2022/4000 [13:01<07:15,  4.54it/s]

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overall:  51%|█████     | 2024/4000 [13:01<06:04,  5.42it/s]

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overall:  51%|█████     | 2040/4000 [13:05<08:37,  3.78it/s]

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overall:  51%|█████     | 2044/4000 [13:06<07:09,  4.55it/s]

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overall:  51%|█████▏    | 2057/4000 [13:08<06:14,  5.18it/s]

train:  59%|█████▊    | 2057/3515 [13:06<04:41,  5.18it/s]
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overall:  52%|█████▏    | 2061/4000 [13:09<08:28,  3.81it/s]

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train:  85%|████████▌ | 2994/3515 [16:24<02:11,  3.97it/s]
overall:  75%|███████▍  | 2995/4000 [16:26<04:02,  4.15it/s]

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overall:  75%|███████▍  | 2997/4000 [16:27<04:42,  3.55it/s]

train:  85%|████████▌ | 2997/3515 [16:25<02:26,  3.55it/s]
overall:  75%|███████▍  | 2998/4000 [16:27<04:15,  3.93it/s]

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train:  85%|████████▌ | 2999/3515 [16:25<02:14,  3.83it/s]dev loss: 2.2491252422332764
dev per: 0.5637721123829345
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9211738109588623
train per: 0.5181874478339301
train loss: 1.9266067743301392
train per: 0.525195506113008
train loss: 1.9640369415283203
train per: 0.5261032452683306
train loss: 1.9727013111114502
train per: 0.5206917704794262
train loss: 1.9392532110214233
train per: 0.5167381760127719
train loss: 1.9292491674423218
train per: 0.5149721208783644
train loss: 1.9606685638427734
train per: 0.5178826895565093
train loss: 1.9833323955535889
train per: 0.5249223416965353
train loss: 1.906428337097168
train per: 0.5106362264518327
train loss: 1.9309053421020508
train per: 0.5169630740661382
train loss: 1.9427337646484375
train per: 0.5179606534340419
train loss: 1.9488298892974854
train per: 0.5222822761574546
train loss: 2.0182156562805176
train per: 0.5292985457656116
train loss: 1.979529619216919
train per: 0.522940676938008
train loss: 1.9139463901519775
train per: 0.5199716312056738
train loss: 1.9735517501831055
train per: 0.520902472280106
train loss: 1.9833383560180664
train per: 0.5244096302269324
train loss: 1.9494845867156982
train per: 0.5204060757939958
train loss: 1.9430739879608154
train per: 0.5148055654655725
train loss: 1.9595626592636108
train per: 0.5196616900028365
train loss: 1.936960220336914
train per: 0.5224692147769071
train loss: 1.998345136642456
train per: 0.5264299523742161
train loss: 2.013671398162842
train per: 0.5275453435252612
train loss: 1.9421489238739014
train per: 0.5200027975940691
train loss: 1.9405381679534912
train per: 0.5192699399656947
train loss: 1.9283759593963623
train per: 0.517275066717499
train loss: 1.9062511920928955
train per: 0.5078270724623993
train loss: 1.9224344491958618
train per: 0.5122787663676915
train loss: 1.912409782409668
train per: 0.5115230212618328
train loss: 1.9894392490386963
train per: 0.5234856583945591
train loss: 1.9104032516479492
train per: 0.5111587266251113
train loss: 1.9215751886367798
train per: 0.5149105367793241
train loss: 1.9348771572113037
train per: 0.5191097646236309
train loss: 1.9355418682098389
train per: 0.5210155642998572
train loss: 1.9684139490127563
train per: 0.5205128205128206
train loss: 1.9471464157104492
train per: 0.5245684663321017
train loss: 1.9825327396392822
train per: 0.5282949081494267
train loss: 1.9165910482406616
train per: 0.5180314662117335
train loss: 1.9476757049560547
train per: 0.5205239711497667
train loss: 1.9251686334609985
train per: 0.5171447865342771
train loss: 1.9022657871246338
train per: 0.5128026649430717
train loss: 1.9404432773590088
train per: 0.5219581300173146
train loss: 1.9330453872680664
train per: 0.5257029935642374
train loss: 2.0038859844207764
train per: 0.5248752250507076
train loss: 1.9282844066619873
train per: 0.5174698483358352
train loss: 1.9607206583023071
train per: 0.5161104861892264
train loss: 1.9564294815063477
train per: 0.5229545520043806
train loss: 1.9866660833358765
train per: 0.5245263372343074
train loss: 1.9287515878677368
train per: 0.5189467572139053
train loss: 1.9902935028076172
train per: 0.5303777492849393
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▍        | 372/2703 [00:00<00:00, 3716.81it/s]


word -> phonemes:  29%|██▉       | 778/2703 [00:00<00:00, 3918.27it/s]


word -> phonemes:  44%|████▍     | 1200/2703 [00:00<00:00, 4052.28it/s]


word -> phonemes:  60%|█████▉    | 1616/2703 [00:00<00:00, 4093.71it/s]


word -> phonemes:  75%|███████▍  | 2026/2703 [00:00<00:00, 4058.43it/s]


word -> phonemes:  93%|█████████▎| 2513/2703 [00:00<00:00, 4329.93it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4226.62it/s]



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train: 100%|█████████▉| 3502/3515 [21:09<00:02,  4.83it/s]
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train: 100%|█████████▉| 3505/3515 [21:10<00:01,  5.41it/s]
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overall:  88%|████████▊ | 3515/4000 [21:14<01:37,  4.98it/s]

train: 100%|██████████| 3515/3515 [21:12<00:00,  4.98it/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 [21:12<00:00,  2.76it/s]
dev loss: 2.2547504901885986
dev per: 0.5688865764828304
train loss: 1.8915237188339233
train per: 0.5107522843910377
train loss: 1.9294096231460571
train per: 0.5198406200534905
train loss: 1.9080489873886108
train per: 0.5155519859813084
train loss: 1.9070106744766235
train per: 0.5089974293059126
train loss: 1.9421913623809814
train per: 0.5157999384571685
train loss: 1.9334437847137451
train per: 0.5176195795673809
train loss: 1.8960806131362915
train per: 0.5167984687452778
train loss: 1.9602142572402954
train per: 0.5165101702648832
train loss: 1.9750242233276367
train per: 0.5215247864950328
train loss: 1.906301736831665
train per: 0.5119823118254005
train loss: 1.9488872289657593
train per: 0.5219685104278295
train loss: 1.9859530925750732
train per: 0.526960495630256
train loss: 1.8975883722305298
train per: 0.5114102402817965
train loss: 1.9225927591323853
train per: 0.5167301001704532
train loss: 1.9478580951690674
train per: 0.5211951722107742
train loss: 1.9645382165908813
train per: 0.5214606459848191
train loss: 1.9625545740127563
train per: 0.5155592165476844
train loss: 1.9434503316879272
train per: 0.5214420358152686
train loss: 1.967311143875122
train per: 0.5302351328553353
train loss: 1.9573123455047607
train per: 0.5245068738792588
train loss: 1.9790805578231812
train per: 0.531695372255544
train loss: 1.9925273656845093
train per: 0.5278404522938873
train loss: 1.9969829320907593
train per: 0.5252739905923928
train loss: 1.9569320678710938
train per: 0.5248416468725258
train loss: 1.9764859676361084
train per: 0.519898911169371
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  10%|█         | 361/3515 [00:00<00:00, 3608.52it/s]

word -> phonemes:  22%|██▏       | 766/3515 [00:00<00:00, 3817.35it/s]

word -> phonemes:  33%|███▎      | 1148/3515 [00:00<00:00, 3735.23it/s]

word -> phonemes:  43%|████▎     | 1522/3515 [00:00<00:00, 3670.81it/s]

word -> phonemes:  55%|█████▍    | 1924/3515 [00:00<00:00, 3791.84it/s]

word -> phonemes:  66%|██████▌   | 2304/3515 [00:00<00:00, 3785.73it/s]

word -> phonemes:  76%|███████▋  | 2683/3515 [00:00<00:00, 3612.46it/s]

word -> phonemes:  87%|████████▋ | 3058/3515 [00:00<00:00, 3641.50it/s]

word -> phonemes:  98%|█████████▊| 3444/3515 [00:00<00:00, 3705.79it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3722.32it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [21:18<10:52,  1.35s/it]

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overall:  88%|████████▊ | 3524/4000 [21:19<02:07,  3.72it/s]

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overall:  88%|████████▊ | 3529/4000 [21:20<01:44,  4.51it/s]

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overall:  88%|████████▊ | 3530/4000 [21:21<01:41,  4.65it/s]

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overall:  88%|████████▊ | 3531/4000 [21:21<01:47,  4.35it/s]

train:   0%|          | 16/3515 [00:04<13:02,  4.47it/s]
overall:  88%|████████▊ | 3532/4000 [21:21<01:45,  4.45it/s]

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overall:  88%|████████▊ | 3533/4000 [21:21<01:37,  4.77it/s]

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overall:  88%|████████▊ | 3534/4000 [21:21<01:38,  4.72it/s]

train:   1%|          | 19/3515 [00:05<12:12,  4.78it/s]
overall:  88%|████████▊ | 3535/4000 [21:22<01:38,  4.74it/s]

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overall:  88%|████████▊ | 3536/4000 [21:22<01:36,  4.79it/s]

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overall:  88%|████████▊ | 3538/4000 [21:22<01:25,  5.38it/s]

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overall:  88%|████████▊ | 3539/4000 [21:22<01:31,  5.02it/s]

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overall:  88%|████████▊ | 3540/4000 [21:23<01:47,  4.28it/s]

train:   1%|          | 25/3515 [00:06<13:35,  4.28it/s]
overall:  89%|████████▊ | 3541/4000 [21:23<01:46,  4.31it/s]

train:   1%|          | 26/3515 [00:06<13:29,  4.31it/s]
overall:  89%|████████▊ | 3542/4000 [21:23<01:43,  4.43it/s]

train:   1%|          | 27/3515 [00:06<13:06,  4.43it/s]
overall:  89%|████████▊ | 3543/4000 [21:23<01:33,  4.91it/s]

train:   1%|          | 28/3515 [00:07<11:50,  4.91it/s]
overall:  89%|████████▊ | 3544/4000 [21:23<01:34,  4.85it/s]

train:   1%|          | 29/3515 [00:07<11:58,  4.85it/s]
overall:  89%|████████▊ | 3546/4000 [21:24<01:23,  5.44it/s]

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overall:  89%|████████▊ | 3547/4000 [21:24<01:48,  4.19it/s]

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overall:  89%|████████▊ | 3548/4000 [21:24<01:45,  4.29it/s]

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overall:  89%|████████▊ | 3549/4000 [21:25<01:42,  4.42it/s]

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overall:  89%|████████▉ | 3550/4000 [21:25<01:40,  4.50it/s]

train:   1%|          | 35/3515 [00:08<12:53,  4.50it/s]
overall:  89%|████████▉ | 3551/4000 [21:25<01:40,  4.49it/s]

train:   1%|          | 36/3515 [00:08<12:55,  4.49it/s]
overall:  89%|████████▉ | 3552/4000 [21:25<01:37,  4.58it/s]

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overall:  89%|████████▉ | 3553/4000 [21:25<01:38,  4.53it/s]

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overall:  89%|████████▉ | 3554/4000 [21:26<01:37,  4.58it/s]

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overall:  89%|████████▉ | 3556/4000 [21:26<01:22,  5.35it/s]

train:   1%|          | 41/3515 [00:09<10:49,  5.35it/s]
overall:  89%|████████▉ | 3557/4000 [21:26<01:24,  5.26it/s]

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overall:  89%|████████▉ | 3558/4000 [21:26<01:25,  5.15it/s]

train:   1%|          | 43/3515 [00:10<11:13,  5.15it/s]
overall:  89%|████████▉ | 3559/4000 [21:27<01:27,  5.03it/s]

train:   1%|▏         | 44/3515 [00:10<11:30,  5.03it/s]
overall:  89%|████████▉ | 3560/4000 [21:27<01:29,  4.93it/s]

train:   1%|▏         | 45/3515 [00:10<11:43,  4.93it/s]
overall:  89%|████████▉ | 3561/4000 [21:27<01:30,  4.86it/s]

train:   1%|▏         | 46/3515 [00:10<11:54,  4.86it/s]
overall:  89%|████████▉ | 3562/4000 [21:27<01:32,  4.76it/s]

train:   1%|▏         | 47/3515 [00:11<12:09,  4.76it/s]
overall:  89%|████████▉ | 3563/4000 [21:27<01:21,  5.36it/s]

train:   1%|▏         | 48/3515 [00:11<10:46,  5.36it/s]
overall:  89%|████████▉ | 3564/4000 [21:28<01:27,  5.01it/s]

train:   1%|▏         | 49/3515 [00:11<11:31,  5.01it/s]
overall:  89%|████████▉ | 3565/4000 [21:28<01:16,  5.72it/s]

train:   1%|▏         | 50/3515 [00:11<10:05,  5.72it/s]
overall:  89%|████████▉ | 3566/4000 [21:28<01:20,  5.37it/s]

train:   1%|▏         | 51/3515 [00:11<10:45,  5.37it/s]
overall:  89%|████████▉ | 3567/4000 [21:28<01:32,  4.71it/s]

train:   1%|▏         | 52/3515 [00:12<12:15,  4.71it/s]
overall:  89%|████████▉ | 3568/4000 [21:28<01:17,  5.57it/s]

train:   2%|▏         | 53/3515 [00:12<10:21,  5.57it/s]
overall:  89%|████████▉ | 3569/4000 [21:29<01:20,  5.37it/s]

train:   2%|▏         | 54/3515 [00:12<10:44,  5.37it/s]
overall:  89%|████████▉ | 3570/4000 [21:29<01:21,  5.24it/s]

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overall:  89%|████████▉ | 3571/4000 [21:29<01:44,  4.09it/s]

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overall:  89%|████████▉ | 3572/4000 [21:29<01:41,  4.22it/s]

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overall:  89%|████████▉ | 3573/4000 [21:30<01:36,  4.40it/s]

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overall:  89%|████████▉ | 3574/4000 [21:30<01:35,  4.47it/s]

train:   2%|▏         | 59/3515 [00:13<12:53,  4.47it/s]
overall:  89%|████████▉ | 3575/4000 [21:30<01:32,  4.58it/s]

train:   2%|▏         | 60/3515 [00:13<12:33,  4.58it/s]
overall:  89%|████████▉ | 3576/4000 [21:30<01:31,  4.63it/s]

train:   2%|▏         | 61/3515 [00:14<12:26,  4.63it/s]
overall:  89%|████████▉ | 3577/4000 [21:30<01:28,  4.78it/s]

train:   2%|▏         | 62/3515 [00:14<12:02,  4.78it/s]
overall:  89%|████████▉ | 3578/4000 [21:31<01:28,  4.76it/s]

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overall:  89%|████████▉ | 3579/4000 [21:31<01:35,  4.43it/s]

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overall:  90%|████████▉ | 3580/4000 [21:31<01:34,  4.46it/s]

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overall:  90%|████████▉ | 3581/4000 [21:31<01:32,  4.54it/s]

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overall:  90%|████████▉ | 3582/4000 [21:31<01:31,  4.57it/s]

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overall:  90%|████████▉ | 3583/4000 [21:32<02:08,  3.25it/s]

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overall:  90%|████████▉ | 3584/4000 [21:32<01:44,  3.99it/s]

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overall:  90%|████████▉ | 3586/4000 [21:32<01:20,  5.12it/s]

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overall:  90%|████████▉ | 3587/4000 [21:33<01:22,  5.03it/s]

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overall:  90%|████████▉ | 3588/4000 [21:33<01:24,  4.88it/s]

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overall:  90%|████████▉ | 3589/4000 [21:33<01:27,  4.72it/s]

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overall:  90%|████████▉ | 3591/4000 [21:33<01:23,  4.92it/s]

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overall:  90%|████████▉ | 3599/4000 [21:35<01:15,  5.29it/s]

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overall:  90%|█████████ | 3600/4000 [21:35<01:20,  4.98it/s]

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overall:  90%|█████████ | 3601/4000 [21:35<01:22,  4.87it/s]

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overall:  90%|█████████ | 3615/4000 [21:38<01:21,  4.74it/s]

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overall:  90%|█████████ | 3619/4000 [21:39<01:49,  3.49it/s]

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overall:  91%|█████████ | 3631/4000 [21:42<01:30,  4.07it/s]

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overall:  91%|█████████ | 3632/4000 [21:42<01:26,  4.25it/s]

train:   3%|▎         | 117/3515 [00:26<13:20,  4.25it/s]
overall:  91%|█████████ | 3633/4000 [21:42<01:23,  4.37it/s]

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overall:  91%|█████████ | 3634/4000 [21:43<01:21,  4.49it/s]

train:   3%|▎         | 119/3515 [00:26<12:36,  4.49it/s]
overall:  91%|█████████ | 3635/4000 [21:43<01:19,  4.61it/s]

train:   3%|▎         | 120/3515 [00:26<12:16,  4.61it/s]
overall:  91%|█████████ | 3636/4000 [21:43<01:17,  4.71it/s]

train:   3%|▎         | 121/3515 [00:26<12:00,  4.71it/s]
overall:  91%|█████████ | 3637/4000 [21:43<01:17,  4.70it/s]

train:   3%|▎         | 122/3515 [00:27<12:01,  4.70it/s]
overall:  91%|█████████ | 3638/4000 [21:43<01:15,  4.81it/s]

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overall:  91%|█████████ | 3639/4000 [21:44<01:15,  4.80it/s]

train:   4%|▎         | 124/3515 [00:27<11:46,  4.80it/s]
overall:  91%|█████████ | 3640/4000 [21:44<01:15,  4.74it/s]

train:   4%|▎         | 125/3515 [00:27<11:55,  4.74it/s]
overall:  91%|█████████ | 3641/4000 [21:44<01:16,  4.72it/s]

train:   4%|▎         | 126/3515 [00:27<11:58,  4.72it/s]
overall:  91%|█████████ | 3642/4000 [21:44<01:15,  4.77it/s]

train:   4%|▎         | 127/3515 [00:28<11:50,  4.77it/s]
overall:  91%|█████████ | 3643/4000 [21:45<01:30,  3.94it/s]

train:   4%|▎         | 128/3515 [00:28<14:18,  3.94it/s]
overall:  91%|█████████ | 3644/4000 [21:45<01:24,  4.22it/s]

train:   4%|▎         | 129/3515 [00:28<13:22,  4.22it/s]
overall:  91%|█████████ | 3645/4000 [21:45<01:20,  4.40it/s]

train:   4%|▎         | 130/3515 [00:28<12:48,  4.40it/s]
overall:  91%|█████████ | 3646/4000 [21:45<01:33,  3.78it/s]

train:   4%|▎         | 131/3515 [00:29<14:56,  3.78it/s]
overall:  91%|█████████ | 3647/4000 [21:46<01:22,  4.29it/s]

train:   4%|▍         | 132/3515 [00:29<13:08,  4.29it/s]
overall:  91%|█████████ | 3648/4000 [21:46<01:12,  4.87it/s]

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overall:  91%|█████████ | 3649/4000 [21:46<01:11,  4.90it/s]

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overall:  91%|█████████▏| 3650/4000 [21:46<01:07,  5.19it/s]

train:   4%|▍         | 135/3515 [00:29<10:51,  5.19it/s]
overall:  91%|█████████▏| 3651/4000 [21:46<01:00,  5.75it/s]

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overall:  91%|█████████▏| 3653/4000 [21:47<01:08,  5.06it/s]

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overall:  91%|█████████▏| 3658/4000 [21:48<01:11,  4.80it/s]

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overall:  91%|█████████▏| 3659/4000 [21:48<01:10,  4.82it/s]

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overall:  92%|█████████▏| 3660/4000 [21:48<01:12,  4.72it/s]

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overall:  92%|█████████▏| 3661/4000 [21:48<01:12,  4.68it/s]

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overall:  92%|█████████▏| 3662/4000 [21:49<01:12,  4.65it/s]

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train:   4%|▍         | 149/3515 [00:32<10:42,  5.24it/s]
overall:  92%|█████████▏| 3665/4000 [21:49<01:07,  4.97it/s]

train:   4%|▍         | 150/3515 [00:32<11:17,  4.97it/s]
overall:  92%|█████████▏| 3666/4000 [21:49<01:08,  4.91it/s]

train:   4%|▍         | 151/3515 [00:33<11:24,  4.91it/s]
overall:  92%|█████████▏| 3667/4000 [21:49<01:10,  4.75it/s]

train:   4%|▍         | 152/3515 [00:33<11:47,  4.75it/s]
overall:  92%|█████████▏| 3669/4000 [21:50<00:58,  5.63it/s]

train:   4%|▍         | 154/3515 [00:33<09:57,  5.63it/s]
overall:  92%|█████████▏| 3670/4000 [21:50<01:06,  4.99it/s]

train:   4%|▍         | 155/3515 [00:33<11:13,  4.99it/s]
overall:  92%|█████████▏| 3671/4000 [21:50<01:07,  4.86it/s]

train:   4%|▍         | 156/3515 [00:34<11:31,  4.86it/s]
overall:  92%|█████████▏| 3672/4000 [21:50<01:08,  4.77it/s]

train:   4%|▍         | 157/3515 [00:34<11:44,  4.77it/s]
overall:  92%|█████████▏| 3674/4000 [21:51<00:59,  5.49it/s]

train:   5%|▍         | 159/3515 [00:34<10:11,  5.49it/s]
overall:  92%|█████████▏| 3675/4000 [21:51<01:01,  5.27it/s]

train:   5%|▍         | 160/3515 [00:34<10:36,  5.27it/s]
overall:  92%|█████████▏| 3676/4000 [21:51<01:03,  5.12it/s]

train:   5%|▍         | 161/3515 [00:35<10:54,  5.12it/s]
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overall:  92%|█████████▏| 3678/4000 [21:52<01:05,  4.91it/s]

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overall:  92%|█████████▏| 3679/4000 [21:52<01:17,  4.15it/s]

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overall:  92%|█████████▏| 3680/4000 [21:52<01:15,  4.23it/s]

train:   5%|▍         | 165/3515 [00:36<13:12,  4.22it/s]
overall:  92%|█████████▏| 3681/4000 [21:52<01:13,  4.33it/s]

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overall:  92%|█████████▏| 3682/4000 [21:53<01:03,  5.01it/s]

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overall:  92%|█████████▏| 3683/4000 [21:53<01:03,  4.98it/s]

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train:   5%|▍         | 169/3515 [00:36<11:14,  4.96it/s]
overall:  92%|█████████▏| 3685/4000 [21:53<01:04,  4.85it/s]

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overall:  92%|█████████▏| 3687/4000 [21:54<01:00,  5.17it/s]

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overall:  92%|█████████▏| 3688/4000 [21:54<01:00,  5.19it/s]

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overall:  92%|█████████▏| 3690/4000 [21:54<01:04,  4.83it/s]

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overall:  92%|█████████▏| 3691/4000 [21:54<01:14,  4.15it/s]

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overall:  92%|█████████▏| 3692/4000 [21:55<01:11,  4.31it/s]

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overall:  92%|█████████▏| 3693/4000 [21:55<01:09,  4.43it/s]

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overall:  92%|█████████▏| 3694/4000 [21:55<01:13,  4.18it/s]

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overall:  92%|█████████▏| 3695/4000 [21:55<01:03,  4.78it/s]

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overall:  92%|█████████▏| 3696/4000 [21:55<00:59,  5.07it/s]

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overall:  92%|█████████▏| 3697/4000 [21:56<00:51,  5.94it/s]

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overall:  92%|█████████▏| 3699/4000 [21:56<00:56,  5.30it/s]

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overall:  92%|█████████▎| 3700/4000 [21:56<00:57,  5.23it/s]

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overall:  93%|█████████▎| 3702/4000 [21:57<00:57,  5.21it/s]

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overall:  93%|█████████▎| 3703/4000 [21:57<01:07,  4.37it/s]

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overall:  93%|█████████▎| 3704/4000 [21:57<01:04,  4.58it/s]

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overall:  93%|█████████▎| 3705/4000 [21:57<01:00,  4.90it/s]

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overall:  93%|█████████▎| 3706/4000 [21:58<01:05,  4.46it/s]

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overall:  93%|█████████▎| 3707/4000 [21:58<00:55,  5.27it/s]

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overall:  93%|█████████▎| 3709/4000 [21:58<00:58,  4.96it/s]

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overall:  99%|█████████▉| 3962/4000 [22:52<00:07,  5.18it/s]

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overall:  99%|█████████▉| 3963/4000 [22:52<00:07,  4.79it/s]

train:  13%|█▎        | 448/3515 [01:36<10:39,  4.79it/s]
overall:  99%|█████████▉| 3964/4000 [22:53<00:07,  5.06it/s]

train:  13%|█▎        | 449/3515 [01:36<10:06,  5.06it/s]
overall:  99%|█████████▉| 3965/4000 [22:53<00:06,  5.11it/s]

train:  13%|█▎        | 450/3515 [01:36<10:00,  5.11it/s]
overall:  99%|█████████▉| 3966/4000 [22:53<00:06,  5.17it/s]

train:  13%|█▎        | 451/3515 [01:36<09:52,  5.17it/s]
overall:  99%|█████████▉| 3967/4000 [22:53<00:06,  4.75it/s]

train:  13%|█▎        | 452/3515 [01:37<10:44,  4.75it/s]
overall:  99%|█████████▉| 3968/4000 [22:53<00:06,  4.68it/s]

train:  13%|█▎        | 453/3515 [01:37<10:53,  4.68it/s]
overall:  99%|█████████▉| 3969/4000 [22:54<00:06,  4.44it/s]

train:  13%|█▎        | 454/3515 [01:37<11:29,  4.44it/s]
overall:  99%|█████████▉| 3970/4000 [22:54<00:06,  4.38it/s]

train:  13%|█▎        | 455/3515 [01:37<11:38,  4.38it/s]
overall:  99%|█████████▉| 3971/4000 [22:54<00:06,  4.46it/s]

train:  13%|█▎        | 456/3515 [01:38<11:26,  4.46it/s]
overall:  99%|█████████▉| 3972/4000 [22:54<00:06,  4.55it/s]

train:  13%|█▎        | 457/3515 [01:38<11:12,  4.55it/s]
overall:  99%|█████████▉| 3973/4000 [22:55<00:05,  4.95it/s]

train:  13%|█▎        | 458/3515 [01:38<10:17,  4.95it/s]
overall:  99%|█████████▉| 3974/4000 [22:55<00:05,  4.91it/s]

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train:  14%|█▎        | 482/3515 [01:43<09:42,  5.21it/s]
overall: 100%|█████████▉| 3998/4000 [23:00<00:00,  4.91it/s]

train:  14%|█▎        | 483/3515 [01:43<10:17,  4.91it/s]
overall: 100%|█████████▉| 3999/4000 [23:00<00:00,  4.74it/s]

train:  14%|█▍        | 484/3515 [01:43<10:39,  4.74it/s]train loss: 1.9428491592407227
train per: 0.5153686449260685
train loss: 1.9123213291168213
train per: 0.5192044494918611
train loss: 1.9306637048721313
train per: 0.5194104319934831
train loss: 1.993201494216919
train per: 0.5237825059101655
train loss: 1.9639688730239868
train per: 0.523848162892715
train loss: 1.945473074913025
train per: 0.5174655155304158
train loss: 1.9503568410873413
train per: 0.5121514629948365
train loss: 1.9267629384994507
train per: 0.5178926948797795
train loss: 1.951112151145935
train per: 0.5329376401059711
train loss: 1.9466145038604736
train per: 0.522303681139966
train loss: 1.9585164785385132
train per: 0.523203456443091
train loss: 1.9888263940811157
train per: 0.5258589915216422
train loss: 1.9225246906280518
train per: 0.5137996219281663
train loss: 1.9571107625961304
train per: 0.5182594168472161
train loss: 1.9894397258758545
train per: 0.5300953899159232
train loss: 1.933571457862854
train per: 0.5177850559829386
train loss: 1.9099794626235962
train per: 0.5158859169499039
train loss: 1.9412552118301392
train per: 0.5177782003137329
train loss: 1.9623794555664062
train per: 0.525780825973257
train loss: 1.9170570373535156
train per: 0.509522140436967
train loss: 1.9367984533309937
train per: 0.5173229548229549
train loss: 1.932765007019043
train per: 0.5165232737701302
train loss: 1.9543962478637695
train per: 0.5229617978599176
train loss: 1.9334418773651123
train per: 0.5167525773195877
train loss: 1.9300386905670166
train per: 0.5120869866745925
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 494/2703 [00:00<00:00, 4792.56it/s]


word -> phonemes:  36%|███▌      | 974/2703 [00:00<00:00, 4054.73it/s]


word -> phonemes:  54%|█████▍    | 1455/2703 [00:00<00:00, 4223.51it/s]


word -> phonemes:  70%|██████▉   | 1882/2703 [00:00<00:00, 3840.09it/s]


word -> phonemes:  84%|████████▍ | 2272/2703 [00:00<00:00, 3680.75it/s]


word -> phonemes:  98%|█████████▊| 2649/2703 [00:00<00:00, 3707.66it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3874.13it/s]



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overall: 100%|█████████▉| 3999/4000 [26:00<00:00,  4.74it/s]

train:  14%|█▍        | 484/3515 [04:43<10:39,  4.74it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:00<00:00,  4.74it/s]

train:  14%|█▍        | 484/3515 [04:43<10:39,  4.74it/s]
overall: 100%|██████████| 4000/4000 [26:00<00:00, 48.91s/it]

train:  14%|█▍        | 485/3515 [04:43<41:10:11, 48.91s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:44<29:35,  1.71it/s]   

overall: 100%|██████████| 4000/4000 [26:00<00:00,  2.56it/s]
dev loss: 2.2694029808044434
dev per: 0.5646774193548387
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt