/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:  13%|█▎        | 450/3515 [00:00<00:00, 4496.40it/s]

word -> phonemes:  26%|██▌       | 900/3515 [00:00<00:00, 3984.87it/s]

word -> phonemes:  39%|███▉      | 1372/3515 [00:00<00:00, 4298.09it/s]

word -> phonemes:  51%|█████▏    | 1810/3515 [00:00<00:00, 4328.98it/s]

word -> phonemes:  64%|██████▍   | 2246/3515 [00:00<00:00, 4197.14it/s]

word -> phonemes:  77%|███████▋  | 2689/3515 [00:00<00:00, 4271.45it/s]

word -> phonemes:  89%|████████▊ | 3118/3515 [00:00<00:00, 4044.87it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4195.21it/s]


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train:   5%|▌         | 180/3515 [00:36<11:05,  5.01it/s]
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train:   5%|▌         | 181/3515 [00:37<12:43,  4.36it/s]
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train:   5%|▌         | 185/3515 [00:38<11:02,  5.02it/s]
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train:   5%|▌         | 186/3515 [00:38<11:09,  4.97it/s]
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train:   5%|▌         | 187/3515 [00:38<12:28,  4.45it/s]
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train:   5%|▌         | 188/3515 [00:38<12:01,  4.61it/s]
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train:   5%|▌         | 189/3515 [00:38<11:48,  4.70it/s]
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train:   5%|▌         | 190/3515 [00:39<11:35,  4.78it/s]
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overall:  11%|█         | 421/4000 [01:28<13:37,  4.38it/s]

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overall:  11%|█         | 422/4000 [01:28<13:42,  4.35it/s]

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overall:  11%|█         | 423/4000 [01:29<13:31,  4.41it/s]

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overall:  11%|█         | 426/4000 [01:29<12:01,  4.96it/s]

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overall:  11%|█         | 427/4000 [01:29<11:08,  5.34it/s]

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overall:  11%|█         | 428/4000 [01:29<11:25,  5.21it/s]

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overall:  11%|█         | 429/4000 [01:30<11:31,  5.16it/s]

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overall:  11%|█         | 431/4000 [01:30<11:53,  5.00it/s]

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overall:  11%|█         | 445/4000 [01:33<13:56,  4.25it/s]

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overall:  11%|█         | 446/4000 [01:33<13:40,  4.33it/s]

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overall:  11%|█         | 447/4000 [01:34<13:34,  4.36it/s]

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overall:  11%|█         | 448/4000 [01:34<13:22,  4.43it/s]

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overall:  11%|█         | 449/4000 [01:34<13:15,  4.46it/s]

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overall:  11%|█▏        | 450/4000 [01:34<12:35,  4.70it/s]

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overall:  11%|█▏        | 451/4000 [01:34<13:25,  4.40it/s]

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overall:  11%|█▏        | 452/4000 [01:35<13:01,  4.54it/s]

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overall:  11%|█▏        | 453/4000 [01:35<12:39,  4.67it/s]

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overall:  11%|█▏        | 454/4000 [01:35<12:29,  4.73it/s]

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overall:  11%|█▏        | 455/4000 [01:35<12:27,  4.74it/s]

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overall:  13%|█▎        | 536/4000 [01:52<11:00,  5.25it/s]

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overall:  13%|█▎        | 537/4000 [01:53<11:23,  5.06it/s]

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overall:  13%|█▎        | 538/4000 [01:53<10:02,  5.75it/s]

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overall:  13%|█▎        | 539/4000 [01:53<10:29,  5.50it/s]

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overall:  14%|█▎        | 543/4000 [01:54<12:52,  4.48it/s]

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overall:  14%|█▎        | 544/4000 [01:54<12:35,  4.57it/s]

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overall:  14%|█▎        | 545/4000 [01:54<12:23,  4.65it/s]

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overall:  14%|█▎        | 546/4000 [01:55<12:22,  4.65it/s]

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overall:  14%|█▎        | 547/4000 [01:55<13:12,  4.35it/s]

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overall:  14%|█▎        | 548/4000 [01:55<12:43,  4.52it/s]

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overall:  14%|█▎        | 549/4000 [01:55<12:28,  4.61it/s]

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overall:  14%|█▍        | 550/4000 [01:55<12:23,  4.64it/s]

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overall:  14%|█▍        | 551/4000 [01:56<12:29,  4.60it/s]

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overall:  14%|█▍        | 552/4000 [01:56<12:22,  4.64it/s]

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overall:  14%|█▍        | 553/4000 [01:56<12:09,  4.73it/s]

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overall:  14%|█▍        | 554/4000 [01:56<14:40,  3.91it/s]

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overall:  14%|█▍        | 555/4000 [01:57<13:50,  4.15it/s]

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overall:  14%|█▍        | 556/4000 [01:57<13:15,  4.33it/s]

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overall:  14%|█▍        | 558/4000 [01:57<12:05,  4.74it/s]

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overall:  14%|█▍        | 569/4000 [02:00<11:40,  4.90it/s]

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overall:  14%|█▍        | 571/4000 [02:00<09:46,  5.84it/s]

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overall:  14%|█▍        | 572/4000 [02:00<10:15,  5.57it/s]

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overall:  14%|█▍        | 574/4000 [02:00<10:36,  5.38it/s]

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overall:  25%|██▍       | 998/4000 [03:28<11:55,  4.20it/s]

train:  28%|██▊       | 998/3515 [03:26<09:59,  4.20it/s]
overall:  25%|██▍       | 999/4000 [03:29<11:33,  4.33it/s]

train:  28%|██▊       | 999/3515 [03:26<09:41,  4.33it/s]train loss: 3.9098687171936035
train per: 0.9170394578232568
train loss: 2.6690351963043213
train per: 0.6787550190532211
train loss: 2.435028314590454
train per: 0.6347636476909898
train loss: 2.376574993133545
train per: 0.6126461076166951
train loss: 2.3297243118286133
train per: 0.6051446348145053
train loss: 2.302180767059326
train per: 0.5993277762839473
train loss: 2.212587356567383
train per: 0.5826909942433408
train loss: 2.2887308597564697
train per: 0.5965770171149144
train loss: 2.186628818511963
train per: 0.5795095129190794
train loss: 2.1683247089385986
train per: 0.5739928747602083
train loss: 2.1618409156799316
train per: 0.5787367367894474
train loss: 2.167238712310791
train per: 0.5755376077692994
train loss: 2.248584270477295
train per: 0.5914056981398634
train loss: 2.1694416999816895
train per: 0.5689906161116213
train loss: 2.0998897552490234
train per: 0.554025099479645
train loss: 2.1231932640075684
train per: 0.5632154490460679
train loss: 2.098538398742676
train per: 0.5591085271317829
train loss: 2.107395648956299
train per: 0.5560837831035543
train loss: 2.149855136871338
train per: 0.5605288527750999
train loss: 2.0973713397979736
train per: 0.560193343738986
train loss: 2.0771491527557373
train per: 0.5539717378973588
train loss: 2.1232028007507324
train per: 0.5600090409101183
train loss: 2.1406025886535645
train per: 0.5558873907505819
train loss: 2.136587619781494
train per: 0.563924582682839
train loss: 2.099064588546753
train per: 0.5525658745374292
train loss: 2.04502272605896
train per: 0.5449709489993544
train loss: 2.0899367332458496
train per: 0.5499556388012619
train loss: 2.0592613220214844
train per: 0.5489713621762012
train loss: 2.054368734359741
train per: 0.5451741085433441
train loss: 2.0731122493743896
train per: 0.5560786551584754
train loss: 2.104686975479126
train per: 0.5523933040324711
train loss: 2.053826332092285
train per: 0.544481457894479
train loss: 2.0861306190490723
train per: 0.5546615436772516
train loss: 2.0868875980377197
train per: 0.5530897562496752
train loss: 2.077368974685669
train per: 0.5571335114212506
train loss: 2.0838611125946045
train per: 0.5588974628785222
train loss: 2.1251587867736816
train per: 0.5504034149544985
train loss: 2.12105131149292
train per: 0.5561340081947457
train loss: 2.097465991973877
train per: 0.5540620238855851
train loss: 2.073108673095703
train per: 0.5469155123683166
train loss: 2.0601160526275635
train per: 0.551231135822081
train loss: 2.0565695762634277
train per: 0.5487738270795783
train loss: 2.074368476867676
train per: 0.5462989095574086
train loss: 2.117981433868408
train per: 0.5537252722265733
train loss: 2.056414842605591
train per: 0.5438879777974013
train loss: 2.0612223148345947
train per: 0.5448559670781893
train loss: 2.0869526863098145
train per: 0.556928645294726
train loss: 2.0931925773620605
train per: 0.5574093571987797
train loss: 2.0579540729522705
train per: 0.5473544418815964
train loss: 2.031984567642212
train per: 0.5378115967092423
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 182/2703 [00:00<00:01, 1759.82it/s]


word -> phonemes:  16%|█▋        | 441/2703 [00:00<00:01, 2240.07it/s]


word -> phonemes:  26%|██▌       | 697/2703 [00:00<00:00, 2367.19it/s]


word -> phonemes:  38%|███▊      | 1018/2703 [00:00<00:00, 2648.79it/s]


word -> phonemes:  48%|████▊     | 1304/2703 [00:00<00:00, 2721.70it/s]


word -> phonemes:  60%|██████    | 1634/2703 [00:00<00:00, 2873.43it/s]


word -> phonemes:  71%|███████   | 1922/2703 [00:00<00:00, 2666.35it/s]


word -> phonemes:  81%|████████  | 2191/2703 [00:00<00:00, 2535.57it/s]


word -> phonemes:  94%|█████████▍| 2536/2703 [00:00<00:00, 2772.78it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2640.84it/s]



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train:  54%|█████▎    | 1884/3515 [08:50<06:10,  4.41it/s]
overall:  47%|████▋     | 1885/4000 [08:52<07:48,  4.51it/s]

train:  54%|█████▎    | 1885/3515 [08:50<06:01,  4.51it/s]
overall:  47%|████▋     | 1886/4000 [08:52<07:50,  4.49it/s]

train:  54%|█████▎    | 1886/3515 [08:50<06:02,  4.49it/s]
overall:  47%|████▋     | 1887/4000 [08:52<07:38,  4.61it/s]

train:  54%|█████▎    | 1887/3515 [08:50<05:53,  4.61it/s]
overall:  47%|████▋     | 1888/4000 [08:52<07:36,  4.63it/s]

train:  54%|█████▎    | 1888/3515 [08:50<05:51,  4.63it/s]
overall:  47%|████▋     | 1889/4000 [08:53<07:26,  4.73it/s]

train:  54%|█████▎    | 1889/3515 [08:51<05:43,  4.73it/s]
overall:  47%|████▋     | 1890/4000 [08:53<06:55,  5.08it/s]

train:  54%|█████▍    | 1890/3515 [08:51<05:19,  5.08it/s]
overall:  47%|████▋     | 1891/4000 [08:53<07:04,  4.97it/s]

train:  54%|█████▍    | 1891/3515 [08:51<05:26,  4.97it/s]
overall:  47%|████▋     | 1892/4000 [08:53<07:10,  4.90it/s]

train:  54%|█████▍    | 1892/3515 [08:51<05:31,  4.90it/s]
overall:  47%|████▋     | 1893/4000 [08:53<07:13,  4.86it/s]

train:  54%|█████▍    | 1893/3515 [08:51<05:33,  4.86it/s]
overall:  47%|████▋     | 1894/4000 [08:54<07:17,  4.82it/s]

train:  54%|█████▍    | 1894/3515 [08:52<05:36,  4.82it/s]
overall:  47%|████▋     | 1895/4000 [08:54<06:56,  5.05it/s]

train:  54%|█████▍    | 1895/3515 [08:52<05:20,  5.05it/s]
overall:  47%|████▋     | 1897/4000 [08:54<06:14,  5.62it/s]

train:  54%|█████▍    | 1897/3515 [08:52<04:47,  5.62it/s]
overall:  47%|████▋     | 1898/4000 [08:54<06:35,  5.32it/s]

train:  54%|█████▍    | 1898/3515 [08:52<05:03,  5.32it/s]
overall:  47%|████▋     | 1899/4000 [08:55<06:46,  5.17it/s]

train:  54%|█████▍    | 1899/3515 [08:52<05:12,  5.17it/s]
overall:  48%|████▊     | 1900/4000 [08:55<07:02,  4.97it/s]

train:  54%|█████▍    | 1900/3515 [08:53<05:24,  4.97it/s]
overall:  48%|████▊     | 1901/4000 [08:55<06:57,  5.03it/s]

train:  54%|█████▍    | 1901/3515 [08:53<05:20,  5.03it/s]
overall:  48%|████▊     | 1902/4000 [08:56<09:52,  3.54it/s]

train:  54%|█████▍    | 1902/3515 [08:53<07:35,  3.54it/s]
overall:  48%|████▊     | 1903/4000 [08:56<09:09,  3.81it/s]

train:  54%|█████▍    | 1903/3515 [08:54<07:02,  3.81it/s]
overall:  48%|████▊     | 1904/4000 [08:56<08:32,  4.09it/s]

train:  54%|█████▍    | 1904/3515 [08:54<06:34,  4.09it/s]
overall:  48%|████▊     | 1905/4000 [08:56<07:08,  4.89it/s]

train:  54%|█████▍    | 1905/3515 [08:54<05:28,  4.89it/s]
overall:  48%|████▊     | 1906/4000 [08:56<07:15,  4.81it/s]

train:  54%|█████▍    | 1906/3515 [08:54<05:34,  4.81it/s]
overall:  48%|████▊     | 1907/4000 [08:56<06:26,  5.42it/s]

train:  54%|█████▍    | 1907/3515 [08:54<04:56,  5.42it/s]
overall:  48%|████▊     | 1908/4000 [08:57<06:38,  5.26it/s]

train:  54%|█████▍    | 1908/3515 [08:54<05:05,  5.26it/s]
overall:  48%|████▊     | 1909/4000 [08:57<06:45,  5.15it/s]

train:  54%|█████▍    | 1909/3515 [08:55<05:11,  5.15it/s]
overall:  48%|████▊     | 1910/4000 [08:57<07:02,  4.95it/s]

train:  54%|█████▍    | 1910/3515 [08:55<05:24,  4.95it/s]
overall:  48%|████▊     | 1911/4000 [08:57<06:13,  5.60it/s]

train:  54%|█████▍    | 1911/3515 [08:55<04:46,  5.60it/s]
overall:  48%|████▊     | 1913/4000 [08:57<05:46,  6.03it/s]

train:  54%|█████▍    | 1913/3515 [08:55<04:25,  6.03it/s]
overall:  48%|████▊     | 1914/4000 [08:58<05:53,  5.90it/s]

train:  54%|█████▍    | 1914/3515 [08:55<04:31,  5.90it/s]
overall:  48%|████▊     | 1915/4000 [08:58<06:21,  5.47it/s]

train:  54%|█████▍    | 1915/3515 [08:56<04:52,  5.47it/s]
overall:  48%|████▊     | 1916/4000 [08:58<06:00,  5.78it/s]

train:  55%|█████▍    | 1916/3515 [08:56<04:36,  5.78it/s]
overall:  48%|████▊     | 1917/4000 [08:58<06:26,  5.39it/s]

train:  55%|█████▍    | 1917/3515 [08:56<04:56,  5.39it/s]
overall:  48%|████▊     | 1918/4000 [08:58<06:35,  5.27it/s]

train:  55%|█████▍    | 1918/3515 [08:56<05:03,  5.27it/s]
overall:  48%|████▊     | 1919/4000 [08:59<06:56,  5.00it/s]

train:  55%|█████▍    | 1919/3515 [08:57<05:19,  5.00it/s]
overall:  48%|████▊     | 1920/4000 [08:59<07:10,  4.83it/s]

train:  55%|█████▍    | 1920/3515 [08:57<05:30,  4.83it/s]
overall:  48%|████▊     | 1921/4000 [08:59<07:20,  4.72it/s]

train:  55%|█████▍    | 1921/3515 [08:57<05:37,  4.72it/s]
overall:  48%|████▊     | 1922/4000 [08:59<07:23,  4.68it/s]

train:  55%|█████▍    | 1922/3515 [08:57<05:40,  4.68it/s]
overall:  48%|████▊     | 1923/4000 [08:59<07:11,  4.82it/s]

train:  55%|█████▍    | 1923/3515 [08:57<05:30,  4.82it/s]
overall:  48%|████▊     | 1924/4000 [09:00<07:13,  4.79it/s]

train:  55%|█████▍    | 1924/3515 [08:58<05:31,  4.79it/s]
overall:  48%|████▊     | 1925/4000 [09:00<06:44,  5.13it/s]

train:  55%|█████▍    | 1925/3515 [08:58<05:10,  5.13it/s]
overall:  48%|████▊     | 1926/4000 [09:00<10:46,  3.21it/s]

train:  55%|█████▍    | 1926/3515 [08:58<08:15,  3.21it/s]
overall:  48%|████▊     | 1927/4000 [09:01<09:37,  3.59it/s]

train:  55%|█████▍    | 1927/3515 [08:59<07:22,  3.59it/s]
overall:  48%|████▊     | 1929/4000 [09:01<07:29,  4.61it/s]

train:  55%|█████▍    | 1929/3515 [08:59<05:44,  4.61it/s]
overall:  48%|████▊     | 1930/4000 [09:01<07:29,  4.61it/s]

train:  55%|█████▍    | 1930/3515 [08:59<05:43,  4.61it/s]
overall:  48%|████▊     | 1931/4000 [09:01<07:28,  4.61it/s]

train:  55%|█████▍    | 1931/3515 [08:59<05:43,  4.61it/s]
overall:  48%|████▊     | 1932/4000 [09:02<07:25,  4.65it/s]

train:  55%|█████▍    | 1932/3515 [08:59<05:40,  4.65it/s]
overall:  48%|████▊     | 1933/4000 [09:02<07:22,  4.68it/s]

train:  55%|█████▍    | 1933/3515 [09:00<05:38,  4.68it/s]
overall:  48%|████▊     | 1934/4000 [09:02<07:29,  4.60it/s]

train:  55%|█████▌    | 1934/3515 [09:00<05:43,  4.60it/s]
overall:  48%|████▊     | 1935/4000 [09:02<07:26,  4.62it/s]

train:  55%|█████▌    | 1935/3515 [09:00<05:41,  4.62it/s]
overall:  48%|████▊     | 1936/4000 [09:02<06:22,  5.40it/s]

train:  55%|█████▌    | 1936/3515 [09:00<04:52,  5.40it/s]
overall:  48%|████▊     | 1937/4000 [09:03<06:27,  5.33it/s]

train:  55%|█████▌    | 1937/3515 [09:00<04:56,  5.33it/s]
overall:  48%|████▊     | 1938/4000 [09:03<06:30,  5.29it/s]

train:  55%|█████▌    | 1938/3515 [09:01<04:58,  5.29it/s]
overall:  48%|████▊     | 1939/4000 [09:03<06:46,  5.07it/s]

train:  55%|█████▌    | 1939/3515 [09:01<05:10,  5.07it/s]
overall:  48%|████▊     | 1940/4000 [09:03<06:47,  5.06it/s]

train:  55%|█████▌    | 1940/3515 [09:01<05:11,  5.06it/s]
overall:  49%|████▊     | 1941/4000 [09:03<06:34,  5.22it/s]

train:  55%|█████▌    | 1941/3515 [09:01<05:01,  5.22it/s]
overall:  49%|████▊     | 1942/4000 [09:04<06:46,  5.06it/s]

train:  55%|█████▌    | 1942/3515 [09:01<05:10,  5.06it/s]
overall:  49%|████▊     | 1943/4000 [09:04<06:53,  4.98it/s]

train:  55%|█████▌    | 1943/3515 [09:02<05:15,  4.98it/s]
overall:  49%|████▊     | 1944/4000 [09:04<05:55,  5.79it/s]

train:  55%|█████▌    | 1944/3515 [09:02<04:31,  5.79it/s]
overall:  49%|████▊     | 1945/4000 [09:04<06:16,  5.46it/s]

train:  55%|█████▌    | 1945/3515 [09:02<04:47,  5.46it/s]
overall:  49%|████▊     | 1946/4000 [09:04<06:31,  5.24it/s]

train:  55%|█████▌    | 1946/3515 [09:02<04:59,  5.24it/s]
overall:  49%|████▊     | 1948/4000 [09:05<05:41,  6.00it/s]

train:  55%|█████▌    | 1948/3515 [09:02<04:21,  6.00it/s]
overall:  49%|████▊     | 1949/4000 [09:05<06:10,  5.54it/s]

train:  55%|█████▌    | 1949/3515 [09:03<04:42,  5.54it/s]
overall:  49%|████▉     | 1950/4000 [09:05<10:03,  3.40it/s]

train:  55%|█████▌    | 1950/3515 [09:03<07:40,  3.40it/s]
overall:  49%|████▉     | 1951/4000 [09:06<09:16,  3.68it/s]

train:  56%|█████▌    | 1951/3515 [09:03<07:04,  3.68it/s]
overall:  49%|████▉     | 1952/4000 [09:06<08:42,  3.92it/s]

train:  56%|█████▌    | 1952/3515 [09:04<06:39,  3.92it/s]
overall:  49%|████▉     | 1953/4000 [09:06<08:16,  4.12it/s]

train:  56%|█████▌    | 1953/3515 [09:04<06:19,  4.12it/s]
overall:  49%|████▉     | 1954/4000 [09:06<08:01,  4.25it/s]

train:  56%|█████▌    | 1954/3515 [09:04<06:07,  4.25it/s]
overall:  49%|████▉     | 1955/4000 [09:06<07:33,  4.51it/s]

train:  56%|█████▌    | 1955/3515 [09:04<05:45,  4.51it/s]
overall:  49%|████▉     | 1956/4000 [09:07<07:20,  4.64it/s]

train:  56%|█████▌    | 1956/3515 [09:05<05:35,  4.64it/s]
overall:  49%|████▉     | 1957/4000 [09:07<07:15,  4.69it/s]

train:  56%|█████▌    | 1957/3515 [09:05<05:32,  4.69it/s]
overall:  49%|████▉     | 1958/4000 [09:07<07:10,  4.74it/s]

train:  56%|█████▌    | 1958/3515 [09:05<05:28,  4.74it/s]
overall:  49%|████▉     | 1959/4000 [09:07<07:07,  4.78it/s]

train:  56%|█████▌    | 1959/3515 [09:05<05:25,  4.78it/s]
overall:  49%|████▉     | 1960/4000 [09:07<07:13,  4.71it/s]

train:  56%|█████▌    | 1960/3515 [09:05<05:30,  4.71it/s]
overall:  49%|████▉     | 1961/4000 [09:08<07:10,  4.73it/s]

train:  56%|█████▌    | 1961/3515 [09:06<05:28,  4.73it/s]
overall:  49%|████▉     | 1962/4000 [09:08<07:21,  4.62it/s]

train:  56%|█████▌    | 1962/3515 [09:06<05:36,  4.62it/s]
overall:  49%|████▉     | 1963/4000 [09:08<07:27,  4.56it/s]

train:  56%|█████▌    | 1963/3515 [09:06<05:40,  4.56it/s]
overall:  49%|████▉     | 1964/4000 [09:08<07:14,  4.69it/s]

train:  56%|█████▌    | 1964/3515 [09:06<05:30,  4.69it/s]
overall:  49%|████▉     | 1965/4000 [09:09<07:14,  4.68it/s]

train:  56%|█████▌    | 1965/3515 [09:06<05:31,  4.68it/s]
overall:  49%|████▉     | 1966/4000 [09:09<07:03,  4.80it/s]

train:  56%|█████▌    | 1966/3515 [09:07<05:22,  4.80it/s]
overall:  49%|████▉     | 1967/4000 [09:09<06:51,  4.94it/s]

train:  56%|█████▌    | 1967/3515 [09:07<05:13,  4.94it/s]
overall:  49%|████▉     | 1968/4000 [09:09<06:34,  5.15it/s]

train:  56%|█████▌    | 1968/3515 [09:07<05:00,  5.15it/s]
overall:  49%|████▉     | 1969/4000 [09:09<06:50,  4.95it/s]

train:  56%|█████▌    | 1969/3515 [09:07<05:12,  4.95it/s]
overall:  49%|████▉     | 1970/4000 [09:10<06:58,  4.86it/s]

train:  56%|█████▌    | 1970/3515 [09:07<05:18,  4.86it/s]
overall:  49%|████▉     | 1971/4000 [09:10<07:00,  4.83it/s]

train:  56%|█████▌    | 1971/3515 [09:08<05:19,  4.83it/s]
overall:  49%|████▉     | 1972/4000 [09:10<06:59,  4.83it/s]

train:  56%|█████▌    | 1972/3515 [09:08<05:19,  4.83it/s]
overall:  49%|████▉     | 1973/4000 [09:10<06:59,  4.84it/s]

train:  56%|█████▌    | 1973/3515 [09:08<05:18,  4.84it/s]
overall:  49%|████▉     | 1974/4000 [09:11<11:23,  2.96it/s]

train:  56%|█████▌    | 1974/3515 [09:09<08:39,  2.96it/s]
overall:  49%|████▉     | 1975/4000 [09:11<10:11,  3.31it/s]

train:  56%|█████▌    | 1975/3515 [09:09<07:45,  3.31it/s]
overall:  49%|████▉     | 1976/4000 [09:11<09:10,  3.67it/s]

train:  56%|█████▌    | 1976/3515 [09:09<06:58,  3.67it/s]
overall:  49%|████▉     | 1977/4000 [09:11<08:35,  3.92it/s]

train:  56%|█████▌    | 1977/3515 [09:09<06:32,  3.92it/s]
overall:  49%|████▉     | 1978/4000 [09:12<08:02,  4.19it/s]

train:  56%|█████▋    | 1978/3515 [09:10<06:06,  4.19it/s]
overall:  49%|████▉     | 1979/4000 [09:12<07:13,  4.67it/s]

train:  56%|█████▋    | 1979/3515 [09:10<05:29,  4.67it/s]
overall:  50%|████▉     | 1980/4000 [09:12<07:16,  4.62it/s]

train:  56%|█████▋    | 1980/3515 [09:10<05:31,  4.62it/s]
overall:  50%|████▉     | 1981/4000 [09:12<06:32,  5.14it/s]

train:  56%|█████▋    | 1981/3515 [09:10<04:58,  5.14it/s]
overall:  50%|████▉     | 1982/4000 [09:12<06:35,  5.10it/s]

train:  56%|█████▋    | 1982/3515 [09:10<05:00,  5.10it/s]
overall:  50%|████▉     | 1984/4000 [09:13<05:58,  5.63it/s]

train:  56%|█████▋    | 1984/3515 [09:11<04:32,  5.63it/s]
overall:  50%|████▉     | 1985/4000 [09:13<06:11,  5.43it/s]

train:  56%|█████▋    | 1985/3515 [09:11<04:41,  5.43it/s]
overall:  50%|████▉     | 1986/4000 [09:13<05:27,  6.14it/s]

train:  57%|█████▋    | 1986/3515 [09:11<04:08,  6.14it/s]
overall:  50%|████▉     | 1987/4000 [09:13<05:48,  5.78it/s]

train:  57%|█████▋    | 1987/3515 [09:11<04:24,  5.78it/s]
overall:  50%|████▉     | 1988/4000 [09:13<06:16,  5.35it/s]

train:  57%|█████▋    | 1988/3515 [09:11<04:45,  5.35it/s]
overall:  50%|████▉     | 1989/4000 [09:14<06:33,  5.11it/s]

train:  57%|█████▋    | 1989/3515 [09:11<04:58,  5.11it/s]
overall:  50%|████▉     | 1990/4000 [09:14<06:45,  4.96it/s]

train:  57%|█████▋    | 1990/3515 [09:12<05:07,  4.96it/s]
overall:  50%|████▉     | 1991/4000 [09:14<06:56,  4.83it/s]

train:  57%|█████▋    | 1991/3515 [09:12<05:15,  4.83it/s]
overall:  50%|████▉     | 1992/4000 [09:14<06:15,  5.35it/s]

train:  57%|█████▋    | 1992/3515 [09:12<04:44,  5.35it/s]
overall:  50%|████▉     | 1993/4000 [09:14<06:39,  5.03it/s]

train:  57%|█████▋    | 1993/3515 [09:12<05:02,  5.03it/s]
overall:  50%|████▉     | 1994/4000 [09:15<06:47,  4.92it/s]

train:  57%|█████▋    | 1994/3515 [09:13<05:08,  4.92it/s]
overall:  50%|████▉     | 1995/4000 [09:15<06:56,  4.82it/s]

train:  57%|█████▋    | 1995/3515 [09:13<05:15,  4.82it/s]
overall:  50%|████▉     | 1996/4000 [09:15<06:55,  4.83it/s]

train:  57%|█████▋    | 1996/3515 [09:13<05:14,  4.83it/s]
overall:  50%|████▉     | 1997/4000 [09:15<07:07,  4.68it/s]

train:  57%|█████▋    | 1997/3515 [09:13<05:24,  4.68it/s]
overall:  50%|████▉     | 1998/4000 [09:16<11:04,  3.01it/s]

train:  57%|█████▋    | 1998/3515 [09:14<08:23,  3.01it/s]
overall:  50%|████▉     | 1999/4000 [09:16<09:52,  3.38it/s]

train:  57%|█████▋    | 1999/3515 [09:14<07:28,  3.38it/s]dev loss: 2.403978109359741
dev per: 0.5932934443288241
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.058964252471924
train per: 0.5480334453229596
train loss: 2.063951015472412
train per: 0.5566939032055311
train loss: 2.113332748413086
train per: 0.5526171803757067
train loss: 2.058912515640259
train per: 0.5496404481855176
train loss: 2.109276533126831
train per: 0.5490657439446367
train loss: 2.0724024772644043
train per: 0.5483651864343264
train loss: 2.0452237129211426
train per: 0.5475252656128531
train loss: 2.0602004528045654
train per: 0.5480484251770734
train loss: 2.0599913597106934
train per: 0.5469234068919498
train loss: 2.0570759773254395
train per: 0.5447290177872829
train loss: 2.0913357734680176
train per: 0.547616301865904
train loss: 2.034919261932373
train per: 0.5405052895995363
train loss: 2.068793773651123
train per: 0.5429764616552771
train loss: 2.0184950828552246
train per: 0.5393641810918774
train loss: 2.052640914916992
train per: 0.5439607956183338
train loss: 2.0988571643829346
train per: 0.5540349681001315
train loss: 2.081672430038452
train per: 0.55179160505062
train loss: 2.016925096511841
train per: 0.5394520012289473
train loss: 2.0688586235046387
train per: 0.5474418484039105
train loss: 2.062067747116089
train per: 0.5450478496483339
train loss: 2.024482011795044
train per: 0.5437305267289811
train loss: 2.0308008193969727
train per: 0.5382830626450116
train loss: 2.0217442512512207
train per: 0.5449874188849159
train loss: 2.090315580368042
train per: 0.5452926087782634
train loss: 2.1121954917907715
train per: 0.5588299603994072
train loss: 2.064084529876709
train per: 0.5469561222145647
train loss: 2.060406446456909
train per: 0.5472845176979195
train loss: 2.0998618602752686
train per: 0.5510942860522892
train loss: 2.0868515968322754
train per: 0.5506768604895841
train loss: 2.089398145675659
train per: 0.550267155836801
train loss: 2.0576391220092773
train per: 0.5468513530845197
train loss: 2.0755014419555664
train per: 0.5516645995963133
train loss: 2.070796489715576
train per: 0.5518911439114391
train loss: 2.07297945022583
train per: 0.5491208341852382
train loss: 2.0269246101379395
train per: 0.5367961188482054
train loss: 2.0212316513061523
train per: 0.5534674670447347
train loss: 2.0913233757019043
train per: 0.5616372902951794
train loss: 2.0471720695495605
train per: 0.5482045809861776
train loss: 2.0372366905212402
train per: 0.5456847263817043
train loss: 2.122296094894409
train per: 0.5501247920133111
train loss: 2.075071334838867
train per: 0.5403048149979769
train loss: 2.0675675868988037
train per: 0.5461091395360799
train loss: 2.0492820739746094
train per: 0.5436168094005178
train loss: 2.0031893253326416
train per: 0.5344367190648932
train loss: 2.0509445667266846
train per: 0.5435615293544118
train loss: 2.0600855350494385
train per: 0.5491981043669174
train loss: 2.045919179916382
train per: 0.5441802872709262
train loss: 2.1000630855560303
train per: 0.5495063273536365
train loss: 2.0002007484436035
train per: 0.535913445498308
train loss: 2.051018476486206
train per: 0.5388599782161443
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 243/2703 [00:00<00:01, 2428.98it/s]


word -> phonemes:  25%|██▍       | 672/2703 [00:00<00:00, 3484.87it/s]


word -> phonemes:  39%|███▉      | 1051/2703 [00:00<00:00, 3621.15it/s]


word -> phonemes:  54%|█████▍    | 1463/2703 [00:00<00:00, 3816.80it/s]


word -> phonemes:  68%|██████▊   | 1845/2703 [00:00<00:00, 3642.38it/s]


word -> phonemes:  82%|████████▏ | 2211/2703 [00:00<00:00, 3511.72it/s]


word -> phonemes:  96%|█████████▌| 2599/2703 [00:00<00:00, 3558.25it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3571.75it/s]



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overall:  74%|███████▎  | 2944/4000 [14:58<03:41,  4.77it/s]

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overall:  74%|███████▎  | 2946/4000 [14:58<03:29,  5.03it/s]

train:  84%|████████▍ | 2946/3515 [14:56<01:53,  5.03it/s]
overall:  74%|███████▎  | 2947/4000 [14:58<03:34,  4.92it/s]

train:  84%|████████▍ | 2947/3515 [14:56<01:55,  4.92it/s]
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train:  85%|████████▌ | 2994/3515 [15:07<01:48,  4.80it/s]
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train:  85%|████████▌ | 2995/3515 [15:07<01:50,  4.70it/s]
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train:  85%|████████▌ | 2996/3515 [15:07<01:55,  4.50it/s]
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train:  85%|████████▌ | 2997/3515 [15:07<01:57,  4.41it/s]
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overall:  75%|███████▍  | 2999/4000 [15:10<05:17,  3.16it/s]

train:  85%|████████▌ | 2999/3515 [15:08<02:43,  3.16it/s]dev loss: 2.3972415924072266
dev per: 0.5948335067637878
train loss: 2.01568603515625
train per: 0.5409655098139522
train loss: 2.018001079559326
train per: 0.5526214340786431
train loss: 2.0386834144592285
train per: 0.5433026808738384
train loss: 2.068960189819336
train per: 0.5465269913174783
train loss: 2.0323939323425293
train per: 0.5394132907603273
train loss: 2.006606101989746
train per: 0.5349808402744315
train loss: 2.058713436126709
train per: 0.5443138910387204
train loss: 2.0733957290649414
train per: 0.5468817204301075
train loss: 1.9879140853881836
train per: 0.5298641873144136
train loss: 2.0107874870300293
train per: 0.5329619312906221
train loss: 2.0304317474365234
train per: 0.5396759177937819
train loss: 2.0281717777252197
train per: 0.5414797063022639
train loss: 2.128258228302002
train per: 0.5547209153122327
train loss: 2.0702719688415527
train per: 0.5483925755186219
train loss: 2.005763530731201
train per: 0.5474893617021277
train loss: 2.0724692344665527
train per: 0.5430783874868154
train loss: 2.0701613426208496
train per: 0.5479553046883999
train loss: 2.0468289852142334
train per: 0.5449035953562114
train loss: 2.0233445167541504
train per: 0.537899869187775
train loss: 2.0365898609161377
train per: 0.5406513498878317
train loss: 2.0319738388061523
train per: 0.5413934644703875
train loss: 2.089021682739258
train per: 0.5524590936954779
train loss: 2.0993237495422363
train per: 0.5482608892306301
train loss: 2.037076473236084
train per: 0.5461603021401594
train loss: 2.0309760570526123
train per: 0.5400943396226415
train loss: 2.0044350624084473
train per: 0.5371235226839497
train loss: 1.9914350509643555
train per: 0.5332325927325101
train loss: 2.0072736740112305
train per: 0.535541272962732
train loss: 1.9959958791732788
train per: 0.5348912127670119
train loss: 2.077479839324951
train per: 0.5447307963514774
train loss: 2.000540256500244
train per: 0.533810106856634
train loss: 2.0061018466949463
train per: 0.5372698871704836
train loss: 2.017200231552124
train per: 0.5386623164763459
train loss: 2.0257925987243652
train per: 0.5425699892227875
train loss: 2.052558183670044
train per: 0.5417059131344846
train loss: 2.0296413898468018
train per: 0.5417470909391717
train loss: 2.0701332092285156
train per: 0.5527062014548144
train loss: 2.0011672973632812
train per: 0.5378400151644394
train loss: 2.027897596359253
train per: 0.5424533305048791
train loss: 2.006757974624634
train per: 0.5380036515519095
train loss: 1.9985853433609009
train per: 0.5408690896435141
train loss: 2.040698766708374
train per: 0.5473267222834356
train loss: 2.0231404304504395
train per: 0.5470932250914626
train loss: 2.079677104949951
train per: 0.5448620068825634
train loss: 2.0166077613830566
train per: 0.5386924789067757
train loss: 2.0464441776275635
train per: 0.5403324584426946
train loss: 2.0483314990997314
train per: 0.5494106458399377
train loss: 2.07899808883667
train per: 0.547932181904611
train loss: 2.0361249446868896
train per: 0.5441922698240388
train loss: 2.0969996452331543
train per: 0.5595966071604694
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|▉         | 270/2703 [00:00<00:00, 2640.31it/s]


word -> phonemes:  20%|█▉        | 535/2703 [00:00<00:00, 2215.10it/s]


word -> phonemes:  34%|███▍      | 928/2703 [00:00<00:00, 2890.83it/s]


word -> phonemes:  46%|████▌     | 1232/2703 [00:00<00:00, 2934.36it/s]


word -> phonemes:  58%|█████▊    | 1569/2703 [00:00<00:00, 3082.28it/s]


word -> phonemes:  76%|███████▌  | 2048/2703 [00:00<00:00, 3643.31it/s]


word -> phonemes:  89%|████████▉ | 2418/2703 [00:00<00:00, 3379.99it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2930.34it/s]



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train: 100%|██████████| 3515/3515 [19:18<00:00,  5.02it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [19:19<00:00,  3.03it/s]
dev loss: 2.4421348571777344
dev per: 0.5975546305931322
train loss: 1.9876203536987305
train per: 0.5325572662410815
train loss: 2.0185623168945312
train per: 0.5425195131270127
train loss: 1.9988164901733398
train per: 0.5408635124610592
train loss: 1.9934747219085693
train per: 0.5345783557638993
train loss: 2.0259289741516113
train per: 0.5347361942859848
train loss: 2.031928062438965
train per: 0.5448106022138722
train loss: 1.9912357330322266
train per: 0.535435450561628
train loss: 2.0467581748962402
train per: 0.5384116615835355
train loss: 2.064643383026123
train per: 0.5451037024126684
train loss: 2.004955530166626
train per: 0.539441776425277
train loss: 2.047537326812744
train per: 0.5377682521363999
train loss: 2.088818073272705
train per: 0.5505877364490824
train loss: 1.9964666366577148
train per: 0.5374764121273116
train loss: 2.019069194793701
train per: 0.5380484273939338
train loss: 2.045577049255371
train per: 0.5456039642822098
train loss: 2.054368019104004
train per: 0.5445282760821499
train loss: 2.0519680976867676
train per: 0.539332784184514
train loss: 2.0338432788848877
train per: 0.543931301706985
train loss: 2.070692539215088
train per: 0.5531421341206242
train loss: 2.057793140411377
train per: 0.5484975275770255
train loss: 2.0696182250976562
train per: 0.5526055136741319
train loss: 2.0800087451934814
train per: 0.5437900360486527
train loss: 2.1056504249572754
train per: 0.5477901673790024
train loss: 2.056361436843872
train per: 0.5485451306413301
train loss: 2.069502830505371
train per: 0.5431162757741089
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█▏        | 403/3515 [00:00<00:00, 4029.49it/s]

word -> phonemes:  23%|██▎       | 806/3515 [00:00<00:00, 3979.31it/s]

word -> phonemes:  36%|███▋      | 1277/3515 [00:00<00:00, 4308.36it/s]

word -> phonemes:  49%|████▊     | 1709/3515 [00:00<00:00, 3992.28it/s]

word -> phonemes:  63%|██████▎   | 2200/3515 [00:00<00:00, 4303.63it/s]

word -> phonemes:  75%|███████▍  | 2635/3515 [00:00<00:00, 4129.78it/s]

word -> phonemes:  88%|████████▊ | 3107/3515 [00:00<00:00, 4310.43it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4224.00it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [19:24<10:33,  1.31s/it]

train:   0%|          | 1/3515 [00:01<1:38:43,  1.69s/it]
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train:   0%|          | 2/3515 [00:01<44:47,  1.31it/s]  
overall:  88%|████████▊ | 3518/4000 [19:25<05:53,  1.36it/s]

train:   0%|          | 3/3515 [00:02<30:19,  1.93it/s]
overall:  88%|████████▊ | 3519/4000 [19:25<04:37,  1.73it/s]

train:   0%|          | 4/3515 [00:02<23:15,  2.52it/s]
overall:  88%|████████▊ | 3520/4000 [19:25<03:41,  2.17it/s]

train:   0%|          | 5/3515 [00:02<18:54,  3.09it/s]
overall:  88%|████████▊ | 3521/4000 [19:25<02:58,  2.68it/s]

train:   0%|          | 6/3515 [00:02<15:46,  3.71it/s]
overall:  88%|████████▊ | 3523/4000 [19:26<02:12,  3.61it/s]

train:   0%|          | 8/3515 [00:02<12:45,  4.58it/s]
overall:  88%|████████▊ | 3524/4000 [19:26<02:04,  3.81it/s]

train:   0%|          | 9/3515 [00:03<12:44,  4.59it/s]
overall:  88%|████████▊ | 3525/4000 [19:26<01:54,  4.16it/s]

train:   0%|          | 10/3515 [00:03<12:05,  4.83it/s]
overall:  88%|████████▊ | 3527/4000 [19:26<01:37,  4.85it/s]

train:   0%|          | 12/3515 [00:03<10:54,  5.35it/s]
overall:  88%|████████▊ | 3528/4000 [19:27<01:50,  4.29it/s]

train:   0%|          | 13/3515 [00:03<12:46,  4.57it/s]
overall:  88%|████████▊ | 3529/4000 [19:27<01:47,  4.40it/s]

train:   0%|          | 14/3515 [00:04<12:37,  4.62it/s]
overall:  88%|████████▊ | 3530/4000 [19:27<01:40,  4.68it/s]

train:   0%|          | 15/3515 [00:04<11:59,  4.86it/s]
overall:  88%|████████▊ | 3531/4000 [19:27<01:38,  4.74it/s]

train:   0%|          | 16/3515 [00:04<11:57,  4.88it/s]
overall:  88%|████████▊ | 3532/4000 [19:28<01:39,  4.70it/s]

train:   0%|          | 17/3515 [00:04<12:09,  4.79it/s]
overall:  88%|████████▊ | 3533/4000 [19:28<01:33,  4.97it/s]

train:   1%|          | 18/3515 [00:04<11:32,  5.05it/s]
overall:  88%|████████▊ | 3534/4000 [19:28<01:34,  4.91it/s]

train:   1%|          | 19/3515 [00:05<11:44,  4.96it/s]
overall:  88%|████████▊ | 3535/4000 [19:28<01:35,  4.88it/s]

train:   1%|          | 20/3515 [00:05<11:50,  4.92it/s]
overall:  88%|████████▊ | 3536/4000 [19:28<01:34,  4.89it/s]

train:   1%|          | 21/3515 [00:05<11:50,  4.92it/s]
overall:  88%|████████▊ | 3538/4000 [19:29<01:23,  5.56it/s]

train:   1%|          | 23/3515 [00:05<10:25,  5.58it/s]
overall:  88%|████████▊ | 3539/4000 [19:29<01:28,  5.24it/s]

train:   1%|          | 24/3515 [00:06<11:05,  5.25it/s]
overall:  88%|████████▊ | 3540/4000 [19:29<01:52,  4.09it/s]

train:   1%|          | 25/3515 [00:06<14:11,  4.10it/s]
overall:  89%|████████▊ | 3541/4000 [19:29<01:48,  4.24it/s]

train:   1%|          | 26/3515 [00:06<13:41,  4.25it/s]
overall:  89%|████████▊ | 3542/4000 [19:30<01:43,  4.43it/s]

train:   1%|          | 27/3515 [00:06<13:07,  4.43it/s]
overall:  89%|████████▊ | 3543/4000 [19:30<01:27,  5.23it/s]

train:   1%|          | 28/3515 [00:07<11:05,  5.24it/s]
overall:  89%|████████▊ | 3544/4000 [19:30<01:29,  5.07it/s]

train:   1%|          | 29/3515 [00:07<11:27,  5.07it/s]
overall:  89%|████████▊ | 3546/4000 [19:30<01:19,  5.68it/s]

train:   1%|          | 31/3515 [00:07<10:12,  5.68it/s]
overall:  89%|████████▊ | 3547/4000 [19:30<01:23,  5.39it/s]

train:   1%|          | 32/3515 [00:07<10:45,  5.39it/s]
overall:  89%|████████▊ | 3548/4000 [19:31<01:28,  5.10it/s]

train:   1%|          | 33/3515 [00:07<11:22,  5.11it/s]
overall:  89%|████████▊ | 3549/4000 [19:31<01:32,  4.87it/s]

train:   1%|          | 34/3515 [00:08<11:54,  4.87it/s]
overall:  89%|████████▉ | 3550/4000 [19:31<01:30,  4.99it/s]

train:   1%|          | 35/3515 [00:08<11:37,  4.99it/s]
overall:  89%|████████▉ | 3551/4000 [19:31<01:34,  4.75it/s]

train:   1%|          | 36/3515 [00:08<12:12,  4.75it/s]
overall:  89%|████████▉ | 3552/4000 [19:32<01:56,  3.85it/s]

train:   1%|          | 37/3515 [00:08<15:03,  3.85it/s]
overall:  89%|████████▉ | 3553/4000 [19:32<01:50,  4.05it/s]

train:   1%|          | 38/3515 [00:09<14:17,  4.05it/s]
overall:  89%|████████▉ | 3554/4000 [19:32<01:46,  4.19it/s]

train:   1%|          | 39/3515 [00:09<13:49,  4.19it/s]
overall:  89%|████████▉ | 3555/4000 [19:32<01:29,  4.97it/s]

train:   1%|          | 40/3515 [00:09<11:38,  4.97it/s]
overall:  89%|████████▉ | 3556/4000 [19:32<01:29,  4.97it/s]

train:   1%|          | 41/3515 [00:09<11:38,  4.97it/s]
overall:  89%|████████▉ | 3557/4000 [19:33<01:29,  4.94it/s]

train:   1%|          | 42/3515 [00:09<11:42,  4.94it/s]
overall:  89%|████████▉ | 3558/4000 [19:33<01:30,  4.89it/s]

train:   1%|          | 43/3515 [00:10<11:49,  4.89it/s]
overall:  89%|████████▉ | 3559/4000 [19:33<01:19,  5.57it/s]

train:   1%|▏         | 44/3515 [00:10<10:23,  5.57it/s]
overall:  89%|████████▉ | 3560/4000 [19:33<01:24,  5.23it/s]

train:   1%|▏         | 45/3515 [00:10<11:03,  5.23it/s]
overall:  89%|████████▉ | 3561/4000 [19:33<01:26,  5.05it/s]

train:   1%|▏         | 46/3515 [00:10<11:27,  5.05it/s]
overall:  89%|████████▉ | 3562/4000 [19:34<01:28,  4.94it/s]

train:   1%|▏         | 47/3515 [00:10<11:41,  4.94it/s]
overall:  89%|████████▉ | 3563/4000 [19:34<01:20,  5.42it/s]

train:   1%|▏         | 48/3515 [00:11<10:39,  5.42it/s]
overall:  89%|████████▉ | 3564/4000 [19:34<01:49,  3.97it/s]

train:   1%|▏         | 49/3515 [00:11<14:33,  3.97it/s]
overall:  89%|████████▉ | 3565/4000 [19:34<01:31,  4.73it/s]

train:   1%|▏         | 50/3515 [00:11<12:12,  4.73it/s]
overall:  89%|████████▉ | 3566/4000 [19:35<01:31,  4.76it/s]

train:   1%|▏         | 51/3515 [00:11<12:08,  4.76it/s]
overall:  89%|████████▉ | 3567/4000 [19:35<01:28,  4.87it/s]

train:   1%|▏         | 52/3515 [00:11<11:51,  4.87it/s]
overall:  89%|████████▉ | 3569/4000 [19:35<01:16,  5.62it/s]

train:   2%|▏         | 54/3515 [00:12<10:15,  5.62it/s]
overall:  89%|████████▉ | 3570/4000 [19:35<01:18,  5.47it/s]

train:   2%|▏         | 55/3515 [00:12<10:33,  5.47it/s]
overall:  89%|████████▉ | 3571/4000 [19:35<01:20,  5.31it/s]

train:   2%|▏         | 56/3515 [00:12<10:51,  5.31it/s]
overall:  89%|████████▉ | 3572/4000 [19:36<01:23,  5.14it/s]

train:   2%|▏         | 57/3515 [00:12<11:13,  5.14it/s]
overall:  89%|████████▉ | 3573/4000 [19:36<01:23,  5.09it/s]

train:   2%|▏         | 58/3515 [00:13<11:19,  5.09it/s]
overall:  89%|████████▉ | 3574/4000 [19:36<01:25,  5.01it/s]

train:   2%|▏         | 59/3515 [00:13<11:29,  5.01it/s]
overall:  89%|████████▉ | 3575/4000 [19:36<01:27,  4.88it/s]

train:   2%|▏         | 60/3515 [00:13<11:48,  4.88it/s]
overall:  89%|████████▉ | 3576/4000 [19:37<01:54,  3.71it/s]

train:   2%|▏         | 61/3515 [00:13<15:29,  3.71it/s]
overall:  89%|████████▉ | 3577/4000 [19:37<01:44,  4.07it/s]

train:   2%|▏         | 62/3515 [00:14<14:09,  4.07it/s]
overall:  89%|████████▉ | 3578/4000 [19:37<01:39,  4.25it/s]

train:   2%|▏         | 63/3515 [00:14<13:32,  4.25it/s]
overall:  89%|████████▉ | 3579/4000 [19:37<01:36,  4.38it/s]

train:   2%|▏         | 64/3515 [00:14<13:07,  4.38it/s]
overall:  90%|████████▉ | 3580/4000 [19:38<01:34,  4.46it/s]

train:   2%|▏         | 65/3515 [00:14<12:53,  4.46it/s]
overall:  90%|████████▉ | 3581/4000 [19:38<01:32,  4.52it/s]

train:   2%|▏         | 66/3515 [00:14<12:42,  4.52it/s]
overall:  90%|████████▉ | 3582/4000 [19:38<01:32,  4.52it/s]

train:   2%|▏         | 67/3515 [00:15<12:43,  4.52it/s]
overall:  90%|████████▉ | 3583/4000 [19:38<01:29,  4.64it/s]

train:   2%|▏         | 68/3515 [00:15<12:22,  4.64it/s]
overall:  90%|████████▉ | 3584/4000 [19:38<01:16,  5.43it/s]

train:   2%|▏         | 69/3515 [00:15<10:34,  5.43it/s]
overall:  90%|████████▉ | 3586/4000 [19:39<01:07,  6.16it/s]

train:   2%|▏         | 71/3515 [00:15<09:18,  6.16it/s]
overall:  90%|████████▉ | 3587/4000 [19:39<01:12,  5.67it/s]

train:   2%|▏         | 72/3515 [00:16<10:07,  5.67it/s]
overall:  90%|████████▉ | 3588/4000 [19:39<01:37,  4.22it/s]

train:   2%|▏         | 73/3515 [00:16<13:35,  4.22it/s]
overall:  90%|████████▉ | 3589/4000 [19:39<01:34,  4.35it/s]

train:   2%|▏         | 74/3515 [00:16<13:11,  4.35it/s]
overall:  90%|████████▉ | 3590/4000 [19:40<01:31,  4.47it/s]

train:   2%|▏         | 75/3515 [00:16<12:49,  4.47it/s]
overall:  90%|████████▉ | 3591/4000 [19:40<01:26,  4.73it/s]

train:   2%|▏         | 76/3515 [00:17<12:06,  4.73it/s]
overall:  90%|████████▉ | 3592/4000 [19:40<01:22,  4.97it/s]

train:   2%|▏         | 77/3515 [00:17<11:31,  4.97it/s]
overall:  90%|████████▉ | 3593/4000 [19:40<01:22,  4.91it/s]

train:   2%|▏         | 78/3515 [00:17<11:40,  4.91it/s]
overall:  90%|████████▉ | 3594/4000 [19:40<01:21,  4.96it/s]

train:   2%|▏         | 79/3515 [00:17<11:33,  4.96it/s]
overall:  90%|████████▉ | 3595/4000 [19:41<01:16,  5.26it/s]

train:   2%|▏         | 80/3515 [00:17<10:52,  5.26it/s]
overall:  90%|████████▉ | 3596/4000 [19:41<01:17,  5.23it/s]

train:   2%|▏         | 81/3515 [00:17<10:56,  5.23it/s]
overall:  90%|████████▉ | 3597/4000 [19:41<01:19,  5.08it/s]

train:   2%|▏         | 82/3515 [00:18<11:15,  5.08it/s]
overall:  90%|████████▉ | 3598/4000 [19:41<01:18,  5.14it/s]

train:   2%|▏         | 83/3515 [00:18<11:07,  5.14it/s]
overall:  90%|████████▉ | 3599/4000 [19:41<01:16,  5.25it/s]

train:   2%|▏         | 84/3515 [00:18<10:53,  5.25it/s]
overall:  90%|█████████ | 3600/4000 [19:42<01:42,  3.90it/s]

train:   2%|▏         | 85/3515 [00:18<14:39,  3.90it/s]
overall:  90%|█████████ | 3601/4000 [19:42<01:36,  4.13it/s]

train:   2%|▏         | 86/3515 [00:19<13:49,  4.14it/s]
overall:  90%|█████████ | 3602/4000 [19:42<01:30,  4.41it/s]

train:   2%|▏         | 87/3515 [00:19<12:57,  4.41it/s]
overall:  90%|█████████ | 3603/4000 [19:42<01:28,  4.49it/s]

train:   3%|▎         | 88/3515 [00:19<12:42,  4.49it/s]
overall:  90%|█████████ | 3604/4000 [19:43<01:26,  4.58it/s]

train:   3%|▎         | 89/3515 [00:19<12:27,  4.58it/s]
overall:  90%|█████████ | 3606/4000 [19:43<01:07,  5.86it/s]

train:   3%|▎         | 91/3515 [00:20<09:44,  5.86it/s]
overall:  90%|█████████ | 3607/4000 [19:43<01:09,  5.62it/s]

train:   3%|▎         | 92/3515 [00:20<10:09,  5.62it/s]
overall:  90%|█████████ | 3608/4000 [19:43<01:08,  5.73it/s]

train:   3%|▎         | 93/3515 [00:20<09:57,  5.73it/s]
overall:  90%|█████████ | 3609/4000 [19:43<01:10,  5.53it/s]

train:   3%|▎         | 94/3515 [00:20<10:18,  5.53it/s]
overall:  90%|█████████ | 3610/4000 [19:44<01:13,  5.33it/s]

train:   3%|▎         | 95/3515 [00:20<10:41,  5.33it/s]
overall:  90%|█████████ | 3611/4000 [19:44<01:17,  4.99it/s]

train:   3%|▎         | 96/3515 [00:21<11:24,  4.99it/s]
overall:  90%|█████████ | 3612/4000 [19:44<01:46,  3.63it/s]

train:   3%|▎         | 97/3515 [00:21<15:40,  3.63it/s]
overall:  90%|█████████ | 3613/4000 [19:44<01:37,  3.97it/s]

train:   3%|▎         | 98/3515 [00:21<14:21,  3.97it/s]
overall:  90%|█████████ | 3614/4000 [19:45<01:31,  4.21it/s]

train:   3%|▎         | 99/3515 [00:21<13:30,  4.21it/s]
overall:  90%|█████████ | 3615/4000 [19:45<01:28,  4.35it/s]

train:   3%|▎         | 100/3515 [00:22<13:05,  4.35it/s]
overall:  90%|█████████ | 3616/4000 [19:45<01:26,  4.44it/s]

train:   3%|▎         | 101/3515 [00:22<12:49,  4.44it/s]
overall:  90%|█████████ | 3617/4000 [19:45<01:23,  4.57it/s]

train:   3%|▎         | 102/3515 [00:22<12:26,  4.57it/s]
overall:  90%|█████████ | 3618/4000 [19:45<01:23,  4.58it/s]

train:   3%|▎         | 103/3515 [00:22<12:25,  4.58it/s]
overall:  90%|█████████ | 3619/4000 [19:46<01:22,  4.60it/s]

train:   3%|▎         | 104/3515 [00:22<12:22,  4.60it/s]
overall:  90%|█████████ | 3620/4000 [19:46<01:22,  4.60it/s]

train:   3%|▎         | 105/3515 [00:23<12:21,  4.60it/s]
overall:  91%|█████████ | 3621/4000 [19:46<01:22,  4.59it/s]

train:   3%|▎         | 106/3515 [00:23<12:22,  4.59it/s]
overall:  91%|█████████ | 3622/4000 [19:46<01:20,  4.69it/s]

train:   3%|▎         | 107/3515 [00:23<12:06,  4.69it/s]
overall:  91%|█████████ | 3623/4000 [19:47<01:20,  4.66it/s]

train:   3%|▎         | 108/3515 [00:23<12:11,  4.66it/s]
overall:  91%|█████████ | 3624/4000 [19:47<01:45,  3.56it/s]

train:   3%|▎         | 109/3515 [00:24<15:56,  3.56it/s]
overall:  91%|█████████ | 3625/4000 [19:47<01:37,  3.86it/s]

train:   3%|▎         | 110/3515 [00:24<14:41,  3.86it/s]
overall:  91%|█████████ | 3626/4000 [19:47<01:28,  4.23it/s]

train:   3%|▎         | 111/3515 [00:24<13:25,  4.23it/s]
overall:  91%|█████████ | 3627/4000 [19:48<01:25,  4.37it/s]

train:   3%|▎         | 112/3515 [00:24<12:59,  4.37it/s]
overall:  91%|█████████ | 3629/4000 [19:48<01:11,  5.21it/s]

train:   3%|▎         | 114/3515 [00:25<10:52,  5.21it/s]
overall:  91%|█████████ | 3630/4000 [19:48<01:13,  5.02it/s]

train:   3%|▎         | 115/3515 [00:25<11:16,  5.02it/s]
overall:  91%|█████████ | 3631/4000 [19:48<01:13,  4.99it/s]

train:   3%|▎         | 116/3515 [00:25<11:21,  4.99it/s]
overall:  91%|█████████ | 3632/4000 [19:48<01:14,  4.93it/s]

train:   3%|▎         | 117/3515 [00:25<11:29,  4.92it/s]
overall:  91%|█████████ | 3633/4000 [19:49<01:15,  4.87it/s]

train:   3%|▎         | 118/3515 [00:25<11:37,  4.87it/s]
overall:  91%|█████████ | 3634/4000 [19:49<01:15,  4.83it/s]

train:   3%|▎         | 119/3515 [00:26<11:43,  4.83it/s]
overall:  91%|█████████ | 3635/4000 [19:49<01:17,  4.69it/s]

train:   3%|▎         | 120/3515 [00:26<12:03,  4.69it/s]
overall:  91%|█████████ | 3636/4000 [19:50<01:43,  3.53it/s]

train:   3%|▎         | 121/3515 [00:26<16:02,  3.53it/s]
overall:  91%|█████████ | 3637/4000 [19:50<01:35,  3.80it/s]

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overall:  91%|█████████ | 3638/4000 [19:50<01:28,  4.07it/s]

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overall:  93%|█████████▎| 3702/4000 [20:03<00:57,  5.15it/s]

train:   5%|▌         | 187/3515 [00:40<10:46,  5.15it/s]
overall:  93%|█████████▎| 3703/4000 [20:04<00:59,  4.99it/s]

train:   5%|▌         | 188/3515 [00:40<11:06,  4.99it/s]
overall:  93%|█████████▎| 3704/4000 [20:04<00:58,  5.02it/s]

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overall:  93%|█████████▎| 3705/4000 [20:04<00:56,  5.22it/s]

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overall:  93%|█████████▎| 3706/4000 [20:04<00:58,  5.05it/s]

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overall:  93%|█████████▎| 3707/4000 [20:04<00:51,  5.72it/s]

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overall:  93%|█████████▎| 3717/4000 [20:06<00:55,  5.14it/s]

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overall:  98%|█████████▊| 3936/4000 [20:54<00:18,  3.38it/s]

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overall:  98%|█████████▊| 3937/4000 [20:54<00:16,  3.72it/s]

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overall:  98%|█████████▊| 3938/4000 [20:54<00:15,  3.96it/s]

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overall:  98%|█████████▊| 3939/4000 [20:54<00:14,  4.10it/s]

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overall:  98%|█████████▊| 3940/4000 [20:54<00:14,  4.22it/s]

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overall:  99%|█████████▊| 3941/4000 [20:55<00:13,  4.32it/s]

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overall:  99%|█████████▊| 3942/4000 [20:55<00:13,  4.45it/s]

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overall:  99%|█████████▊| 3943/4000 [20:55<00:12,  4.52it/s]

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overall:  99%|█████████▊| 3944/4000 [20:55<00:12,  4.62it/s]

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overall:  99%|█████████▊| 3945/4000 [20:56<00:11,  4.69it/s]

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overall:  99%|█████████▊| 3946/4000 [20:56<00:10,  4.93it/s]

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overall:  99%|█████████▊| 3948/4000 [20:56<00:13,  3.86it/s]

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overall:  99%|█████████▊| 3949/4000 [20:56<00:12,  4.09it/s]

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overall:  99%|█████████▉| 3950/4000 [20:57<00:11,  4.27it/s]

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overall:  99%|█████████▉| 3951/4000 [20:57<00:10,  4.48it/s]

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overall:  99%|█████████▉| 3952/4000 [20:57<00:10,  4.62it/s]

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overall:  99%|█████████▉| 3953/4000 [20:57<00:10,  4.60it/s]

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overall:  99%|█████████▉| 3954/4000 [20:57<00:08,  5.34it/s]

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overall:  99%|█████████▉| 3955/4000 [20:58<00:08,  5.29it/s]

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overall:  99%|█████████▉| 3961/4000 [20:59<00:10,  3.75it/s]

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overall:  99%|█████████▉| 3978/4000 [21:03<00:04,  5.07it/s]

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overall:  99%|█████████▉| 3979/4000 [21:03<00:04,  4.91it/s]

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overall: 100%|█████████▉| 3980/4000 [21:03<00:04,  4.74it/s]

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overall: 100%|█████████▉| 3981/4000 [21:03<00:04,  4.69it/s]

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overall: 100%|█████████▉| 3982/4000 [21:04<00:03,  4.74it/s]

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overall: 100%|█████████▉| 3983/4000 [21:04<00:03,  4.57it/s]

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overall: 100%|█████████▉| 3984/4000 [21:04<00:04,  3.42it/s]

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overall: 100%|█████████▉| 3985/4000 [21:04<00:03,  3.78it/s]

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overall: 100%|█████████▉| 3986/4000 [21:05<00:03,  3.98it/s]

train:  13%|█▎        | 471/3515 [01:41<12:44,  3.98it/s]
overall: 100%|█████████▉| 3987/4000 [21:05<00:02,  4.39it/s]

train:  13%|█▎        | 472/3515 [01:42<11:34,  4.38it/s]
overall: 100%|█████████▉| 3988/4000 [21:05<00:02,  4.42it/s]

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overall: 100%|█████████▉| 3989/4000 [21:05<00:02,  4.37it/s]

train:  13%|█▎        | 474/3515 [01:42<11:36,  4.37it/s]
overall: 100%|█████████▉| 3990/4000 [21:06<00:02,  4.41it/s]

train:  14%|█▎        | 475/3515 [01:42<11:29,  4.41it/s]
overall: 100%|█████████▉| 3991/4000 [21:06<00:01,  4.52it/s]

train:  14%|█▎        | 476/3515 [01:43<11:11,  4.52it/s]
overall: 100%|█████████▉| 3993/4000 [21:06<00:01,  5.26it/s]

train:  14%|█▎        | 478/3515 [01:43<09:36,  5.26it/s]
overall: 100%|█████████▉| 3994/4000 [21:06<00:01,  5.36it/s]

train:  14%|█▎        | 479/3515 [01:43<09:26,  5.36it/s]
overall: 100%|█████████▉| 3996/4000 [21:07<00:00,  4.49it/s]

train:  14%|█▎        | 481/3515 [01:44<11:15,  4.49it/s]
overall: 100%|█████████▉| 3997/4000 [21:07<00:00,  4.50it/s]

train:  14%|█▎        | 482/3515 [01:44<11:14,  4.50it/s]
overall: 100%|█████████▉| 3998/4000 [21:07<00:00,  4.49it/s]

train:  14%|█▎        | 483/3515 [01:44<11:14,  4.49it/s]
overall: 100%|█████████▉| 3999/4000 [21:07<00:00,  4.60it/s]

train:  14%|█▍        | 484/3515 [01:44<10:58,  4.60it/s]train loss: 2.0329160690307617
train per: 0.5420802106542435
train loss: 2.009212017059326
train per: 0.5436650068431321
train loss: 2.0381336212158203
train per: 0.5493215894916376
train loss: 2.0815041065216064
train per: 0.5449881796690307
train loss: 2.0615592002868652
train per: 0.550701118239217
train loss: 2.0338938236236572
train per: 0.541158082762727
train loss: 2.049649477005005
train per: 0.5415720022948939
train loss: 2.0250184535980225
train per: 0.5409158201031191
train loss: 2.0740859508514404
train per: 0.5627674750356634
train loss: 2.055206775665283
train per: 0.5481181269038153
train loss: 2.0519838333129883
train per: 0.5452486921214961
train loss: 2.0785772800445557
train per: 0.545582329317269
train loss: 2.0042903423309326
train per: 0.5386767485822306
train loss: 2.0489840507507324
train per: 0.543005560051163
train loss: 2.08830189704895
train per: 0.5543156866274137
train loss: 2.0228564739227295
train per: 0.5469825069185265
train loss: 2.0105068683624268
train per: 0.5417467119846313
train loss: 2.04780650138855
train per: 0.5458002566905927
train loss: 2.0467336177825928
train per: 0.542532195194158
train loss: 2.0036203861236572
train per: 0.5313938544222456
train loss: 2.0358049869537354
train per: 0.5441849816849816
train loss: 2.0307555198669434
train per: 0.5386719611736157
train loss: 2.046109437942505
train per: 0.5441481375563023
train loss: 2.023118257522583
train per: 0.5365444466057188
train loss: 2.0219836235046387
train per: 0.5335116659236142
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 298/2703 [00:00<00:00, 2975.93it/s]


word -> phonemes:  22%|██▏       | 596/2703 [00:00<00:00, 2887.64it/s]


word -> phonemes:  34%|███▍      | 932/2703 [00:00<00:00, 3070.11it/s]


word -> phonemes:  47%|████▋     | 1273/2703 [00:00<00:00, 3201.68it/s]


word -> phonemes:  59%|█████▉    | 1594/2703 [00:00<00:00, 2901.47it/s]


word -> phonemes:  70%|██████▉   | 1889/2703 [00:00<00:00, 2650.65it/s]


word -> phonemes:  85%|████████▌ | 2311/2703 [00:00<00:00, 3105.37it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3148.30it/s]



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overall: 100%|█████████▉| 3999/4000 [23:28<00:00,  4.60it/s]

train:  14%|█▍        | 484/3515 [04:04<10:58,  4.60it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [23:28<00:00,  4.60it/s]

train:  14%|█▍        | 484/3515 [04:04<10:58,  4.60it/s]
overall: 100%|██████████| 4000/4000 [23:28<00:00, 38.15s/it]

train:  14%|█▍        | 485/3515 [04:04<32:06:25, 38.15s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:05<25:31,  1.98it/s]   

overall: 100%|██████████| 4000/4000 [23:28<00:00,  2.84it/s]
dev loss: 2.408613443374634
dev per: 0.5954630593132154
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt