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


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


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

word -> phonemes:  13%|█▎        | 468/3515 [00:00<00:00, 4673.16it/s]

word -> phonemes:  27%|██▋       | 965/3515 [00:00<00:00, 4844.64it/s]

word -> phonemes:  41%|████▏     | 1450/3515 [00:00<00:00, 4819.84it/s]

word -> phonemes:  55%|█████▌    | 1936/3515 [00:00<00:00, 4833.07it/s]

word -> phonemes:  69%|██████▉   | 2420/3515 [00:00<00:00, 4488.55it/s]

word -> phonemes:  82%|████████▏ | 2873/3515 [00:00<00:00, 4062.56it/s]

word -> phonemes:  94%|█████████▍| 3319/3515 [00:00<00:00, 4177.52it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4384.47it/s]


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train:   4%|▍         | 155/3515 [00:33<12:15,  4.57it/s]
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train:   4%|▍         | 157/3515 [00:33<10:39,  5.25it/s]
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train:   4%|▍         | 158/3515 [00:33<10:58,  5.10it/s]
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train:   5%|▍         | 159/3515 [00:34<11:16,  4.96it/s]
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train:   5%|▍         | 160/3515 [00:34<11:25,  4.90it/s]
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train:   5%|▍         | 161/3515 [00:34<11:31,  4.85it/s]
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train:   5%|▍         | 162/3515 [00:34<11:25,  4.89it/s]
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train:   5%|▍         | 163/3515 [00:34<11:41,  4.78it/s]
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train:   5%|▍         | 164/3515 [00:35<11:50,  4.72it/s]
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train:   5%|▍         | 165/3515 [00:35<11:46,  4.74it/s]
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train:   5%|▍         | 166/3515 [00:35<11:58,  4.66it/s]
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train:   5%|▍         | 167/3515 [00:35<11:54,  4.68it/s]
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train:   5%|▍         | 168/3515 [00:35<11:49,  4.71it/s]
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train:   5%|▍         | 169/3515 [00:36<12:41,  4.39it/s]
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train:   5%|▍         | 170/3515 [00:36<15:35,  3.58it/s]
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train:   5%|▍         | 173/3515 [00:37<10:07,  5.50it/s]
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train:   5%|▌         | 179/3515 [00:38<12:47,  4.35it/s]
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train:   5%|▌         | 183/3515 [00:39<12:01,  4.62it/s]
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train:   5%|▌         | 184/3515 [00:39<10:31,  5.27it/s]
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train:   5%|▌         | 185/3515 [00:39<10:49,  5.12it/s]
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train:   5%|▌         | 186/3515 [00:39<11:03,  5.02it/s]
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train:   5%|▌         | 187/3515 [00:40<11:13,  4.94it/s]
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train:   5%|▌         | 188/3515 [00:40<11:05,  5.00it/s]
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train:   5%|▌         | 189/3515 [00:40<11:16,  4.92it/s]
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train:   5%|▌         | 190/3515 [00:40<11:41,  4.74it/s]
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train:   5%|▌         | 191/3515 [00:40<11:30,  4.81it/s]
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train:   5%|▌         | 192/3515 [00:41<11:31,  4.81it/s]
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train:   5%|▌         | 193/3515 [00:41<12:38,  4.38it/s]
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train:   6%|▌         | 194/3515 [00:41<14:52,  3.72it/s]
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train:   6%|▌         | 195/3515 [00:41<13:23,  4.13it/s]
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train:   6%|▌         | 197/3515 [00:42<10:26,  5.29it/s]
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overall:  11%|█         | 422/4000 [01:32<13:40,  4.36it/s]

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overall:  11%|█         | 423/4000 [01:32<13:15,  4.49it/s]

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overall:  11%|█▏        | 451/4000 [01:38<12:24,  4.76it/s]

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overall:  13%|█▎        | 537/4000 [01:56<14:26,  4.00it/s]

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overall:  14%|█▎        | 543/4000 [01:58<12:39,  4.55it/s]

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overall:  14%|█▎        | 545/4000 [01:58<12:33,  4.59it/s]

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overall:  14%|█▎        | 546/4000 [01:58<12:34,  4.58it/s]

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overall:  14%|█▎        | 547/4000 [01:59<12:05,  4.76it/s]

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overall:  14%|█▎        | 549/4000 [01:59<11:56,  4.82it/s]

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overall:  14%|█▍        | 550/4000 [01:59<11:44,  4.89it/s]

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overall:  14%|█▍        | 552/4000 [02:00<12:09,  4.73it/s]

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overall:  25%|██▍       | 995/4000 [03:34<12:46,  3.92it/s]

train:  28%|██▊       | 995/3515 [03:32<10:42,  3.92it/s]
overall:  25%|██▍       | 996/4000 [03:34<11:33,  4.33it/s]

train:  28%|██▊       | 996/3515 [03:32<09:41,  4.33it/s]
overall:  25%|██▍       | 997/4000 [03:34<11:20,  4.41it/s]

train:  28%|██▊       | 997/3515 [03:32<09:30,  4.41it/s]
overall:  25%|██▍       | 998/4000 [03:35<11:18,  4.42it/s]

train:  28%|██▊       | 998/3515 [03:32<09:29,  4.42it/s]
overall:  25%|██▍       | 999/4000 [03:35<10:49,  4.62it/s]

train:  28%|██▊       | 999/3515 [03:33<09:04,  4.62it/s]train loss: 3.97465181350708
train per: 0.9095925638209531
train loss: 2.242335557937622
train per: 0.5693972021175929
train loss: 1.9206775426864624
train per: 0.4955221555953586
train loss: 1.8208825588226318
train per: 0.4717461610939927
train loss: 1.7986230850219727
train per: 0.4726981473742861
train loss: 1.7026723623275757
train per: 0.4584834632965851
train loss: 1.6651506423950195
train per: 0.4441896770416626
train loss: 1.7312631607055664
train per: 0.4547677261613692
train loss: 1.6315393447875977
train per: 0.43190112403289377
train loss: 1.5900357961654663
train per: 0.42247191011235957
train loss: 1.6098108291625977
train per: 0.436007477422922
train loss: 1.6077073812484741
train per: 0.42646913090873056
train loss: 1.659804105758667
train per: 0.4359547916176124
train loss: 1.6325610876083374
train per: 0.4273812456607915
train loss: 1.5376625061035156
train per: 0.40976195521650066
train loss: 1.5711333751678467
train per: 0.41712424383434155
train loss: 1.5452630519866943
train per: 0.414983680130559
train loss: 1.5350077152252197
train per: 0.42073324198103973
train loss: 1.5881516933441162
train per: 0.42159482164991047
train loss: 1.5226433277130127
train per: 0.41120789486934195
train loss: 1.5256518125534058
train per: 0.4084934277047523
train loss: 1.5738900899887085
train per: 0.41826766116677966
train loss: 1.6081730127334595
train per: 0.4215600158109711
train loss: 1.5803537368774414
train per: 0.4193346943677195
train loss: 1.5508739948272705
train per: 0.4107182665299389
train loss: 1.4958302974700928
train per: 0.4016526791478373
train loss: 1.549836277961731
train per: 0.40706328864353314
train loss: 1.5192309617996216
train per: 0.40427858656277765
train loss: 1.5141187906265259
train per: 0.4046585799435324
train loss: 1.5336177349090576
train per: 0.41011008868915994
train loss: 1.5543586015701294
train per: 0.4066095059682494
train loss: 1.502109408378601
train per: 0.3995003184245334
train loss: 1.5534231662750244
train per: 0.41145892191208044
train loss: 1.512491226196289
train per: 0.4019021880359649
train loss: 1.5081768035888672
train per: 0.404868342146868
train loss: 1.5059943199157715
train per: 0.41295451888226353
train loss: 1.5801035165786743
train per: 0.41589267285861714
train loss: 1.570105791091919
train per: 0.41272595806218365
train loss: 1.5477039813995361
train per: 0.4124932422470143
train loss: 1.5525753498077393
train per: 0.4107122001354792
train loss: 1.491825819015503
train per: 0.40450092666137144
train loss: 1.495713472366333
train per: 0.40217925610355565
train loss: 1.522061824798584
train per: 0.40141116100064145
train loss: 1.5481312274932861
train per: 0.412571688436371
train loss: 1.492089033126831
train per: 0.396997603128548
train loss: 1.5392180681228638
train per: 0.40916780978509376
train loss: 1.522289752960205
train per: 0.4114788004136505
train loss: 1.5177981853485107
train per: 0.4063065252018034
train loss: 1.508955955505371
train per: 0.4016448824584702
train loss: 1.4737821817398071
train per: 0.39563208735825284
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▊        | 506/2703 [00:00<00:00, 4981.63it/s]


word -> phonemes:  39%|███▉      | 1067/2703 [00:00<00:00, 5345.14it/s]


word -> phonemes:  59%|█████▉    | 1602/2703 [00:00<00:00, 4558.76it/s]


word -> phonemes:  82%|████████▏ | 2212/2703 [00:00<00:00, 5107.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4987.96it/s]



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train:  55%|█████▍    | 1923/3515 [08:49<05:52,  4.52it/s]
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train:  55%|█████▍    | 1924/3515 [08:49<05:47,  4.57it/s]
overall:  48%|████▊     | 1925/4000 [08:52<07:06,  4.86it/s]

train:  55%|█████▍    | 1925/3515 [08:50<05:27,  4.86it/s]
overall:  48%|████▊     | 1926/4000 [08:52<07:06,  4.86it/s]

train:  55%|█████▍    | 1926/3515 [08:50<05:26,  4.86it/s]
overall:  48%|████▊     | 1927/4000 [08:52<07:57,  4.34it/s]

train:  55%|█████▍    | 1927/3515 [08:50<06:06,  4.34it/s]
overall:  48%|████▊     | 1929/4000 [08:53<06:43,  5.14it/s]

train:  55%|█████▍    | 1929/3515 [08:50<05:08,  5.14it/s]
overall:  48%|████▊     | 1930/4000 [08:53<07:04,  4.88it/s]

train:  55%|█████▍    | 1930/3515 [08:51<05:24,  4.88it/s]
overall:  48%|████▊     | 1931/4000 [08:53<07:39,  4.51it/s]

train:  55%|█████▍    | 1931/3515 [08:51<05:51,  4.51it/s]
overall:  48%|████▊     | 1932/4000 [08:53<08:00,  4.30it/s]

train:  55%|█████▍    | 1932/3515 [08:51<06:07,  4.30it/s]
overall:  48%|████▊     | 1933/4000 [08:54<07:49,  4.40it/s]

train:  55%|█████▍    | 1933/3515 [08:51<05:59,  4.40it/s]
overall:  48%|████▊     | 1934/4000 [08:54<07:40,  4.48it/s]

train:  55%|█████▌    | 1934/3515 [08:52<05:52,  4.48it/s]
overall:  48%|████▊     | 1935/4000 [08:54<08:04,  4.27it/s]

train:  55%|█████▌    | 1935/3515 [08:52<06:10,  4.27it/s]
overall:  48%|████▊     | 1936/4000 [08:54<06:55,  4.97it/s]

train:  55%|█████▌    | 1936/3515 [08:52<05:17,  4.97it/s]
overall:  48%|████▊     | 1937/4000 [08:54<06:51,  5.02it/s]

train:  55%|█████▌    | 1937/3515 [08:52<05:14,  5.02it/s]
overall:  48%|████▊     | 1938/4000 [08:55<06:52,  5.00it/s]

train:  55%|█████▌    | 1938/3515 [08:52<05:15,  5.00it/s]
overall:  48%|████▊     | 1939/4000 [08:55<07:04,  4.85it/s]

train:  55%|█████▌    | 1939/3515 [08:53<05:24,  4.85it/s]
overall:  48%|████▊     | 1940/4000 [08:55<07:41,  4.47it/s]

train:  55%|█████▌    | 1940/3515 [08:53<05:52,  4.47it/s]
overall:  49%|████▊     | 1941/4000 [08:55<07:21,  4.67it/s]

train:  55%|█████▌    | 1941/3515 [08:53<05:37,  4.67it/s]
overall:  49%|████▊     | 1942/4000 [08:55<07:22,  4.65it/s]

train:  55%|█████▌    | 1942/3515 [08:53<05:38,  4.65it/s]
overall:  49%|████▊     | 1943/4000 [08:56<07:24,  4.63it/s]

train:  55%|█████▌    | 1943/3515 [08:54<05:39,  4.63it/s]
overall:  49%|████▊     | 1945/4000 [08:56<06:28,  5.29it/s]

train:  55%|█████▌    | 1945/3515 [08:54<04:56,  5.29it/s]
overall:  49%|████▊     | 1946/4000 [08:56<06:42,  5.10it/s]

train:  55%|█████▌    | 1946/3515 [08:54<05:07,  5.10it/s]
overall:  49%|████▊     | 1947/4000 [08:56<05:56,  5.76it/s]

train:  55%|█████▌    | 1947/3515 [08:54<04:32,  5.76it/s]
overall:  49%|████▊     | 1948/4000 [08:56<06:22,  5.37it/s]

train:  55%|█████▌    | 1948/3515 [08:54<04:51,  5.37it/s]
overall:  49%|████▊     | 1949/4000 [08:57<06:39,  5.14it/s]

train:  55%|█████▌    | 1949/3515 [08:55<05:04,  5.14it/s]
overall:  49%|████▉     | 1950/4000 [08:57<06:55,  4.93it/s]

train:  55%|█████▌    | 1950/3515 [08:55<05:17,  4.93it/s]
overall:  49%|████▉     | 1951/4000 [08:57<08:02,  4.25it/s]

train:  56%|█████▌    | 1951/3515 [08:55<06:08,  4.25it/s]
overall:  49%|████▉     | 1952/4000 [08:57<07:55,  4.31it/s]

train:  56%|█████▌    | 1952/3515 [08:55<06:02,  4.31it/s]
overall:  49%|████▉     | 1953/4000 [08:58<07:53,  4.32it/s]

train:  56%|█████▌    | 1953/3515 [08:56<06:01,  4.32it/s]
overall:  49%|████▉     | 1954/4000 [08:58<08:08,  4.19it/s]

train:  56%|█████▌    | 1954/3515 [08:56<06:12,  4.19it/s]
overall:  49%|████▉     | 1955/4000 [08:58<08:20,  4.09it/s]

train:  56%|█████▌    | 1955/3515 [08:56<06:21,  4.09it/s]
overall:  49%|████▉     | 1956/4000 [08:58<08:28,  4.02it/s]

train:  56%|█████▌    | 1956/3515 [08:56<06:27,  4.02it/s]
overall:  49%|████▉     | 1957/4000 [08:59<08:08,  4.19it/s]

train:  56%|█████▌    | 1957/3515 [08:57<06:12,  4.19it/s]
overall:  49%|████▉     | 1958/4000 [08:59<07:51,  4.33it/s]

train:  56%|█████▌    | 1958/3515 [08:57<05:59,  4.33it/s]
overall:  49%|████▉     | 1959/4000 [08:59<07:54,  4.31it/s]

train:  56%|█████▌    | 1959/3515 [08:57<06:01,  4.31it/s]
overall:  49%|████▉     | 1960/4000 [08:59<07:46,  4.38it/s]

train:  56%|█████▌    | 1960/3515 [08:57<05:55,  4.37it/s]
overall:  49%|████▉     | 1961/4000 [09:00<07:37,  4.45it/s]

train:  56%|█████▌    | 1961/3515 [08:57<05:48,  4.45it/s]
overall:  49%|████▉     | 1962/4000 [09:00<07:34,  4.48it/s]

train:  56%|█████▌    | 1962/3515 [08:58<05:46,  4.48it/s]
overall:  49%|████▉     | 1963/4000 [09:00<07:35,  4.48it/s]

train:  56%|█████▌    | 1963/3515 [08:58<05:46,  4.48it/s]
overall:  49%|████▉     | 1964/4000 [09:00<07:48,  4.35it/s]

train:  56%|█████▌    | 1964/3515 [08:58<05:56,  4.35it/s]
overall:  49%|████▉     | 1965/4000 [09:00<07:42,  4.40it/s]

train:  56%|█████▌    | 1965/3515 [08:58<05:51,  4.40it/s]
overall:  49%|████▉     | 1966/4000 [09:01<07:22,  4.59it/s]

train:  56%|█████▌    | 1966/3515 [08:59<05:37,  4.60it/s]
overall:  49%|████▉     | 1967/4000 [09:01<07:01,  4.83it/s]

train:  56%|█████▌    | 1967/3515 [08:59<05:20,  4.83it/s]
overall:  49%|████▉     | 1968/4000 [09:01<06:42,  5.04it/s]

train:  56%|█████▌    | 1968/3515 [08:59<05:06,  5.04it/s]
overall:  49%|████▉     | 1969/4000 [09:01<06:57,  4.87it/s]

train:  56%|█████▌    | 1969/3515 [08:59<05:17,  4.87it/s]
overall:  49%|████▉     | 1970/4000 [09:01<07:04,  4.78it/s]

train:  56%|█████▌    | 1970/3515 [08:59<05:23,  4.78it/s]
overall:  49%|████▉     | 1971/4000 [09:02<07:38,  4.42it/s]

train:  56%|█████▌    | 1971/3515 [09:00<05:49,  4.42it/s]
overall:  49%|████▉     | 1972/4000 [09:02<07:30,  4.50it/s]

train:  56%|█████▌    | 1972/3515 [09:00<05:42,  4.50it/s]
overall:  49%|████▉     | 1973/4000 [09:02<07:23,  4.57it/s]

train:  56%|█████▌    | 1973/3515 [09:00<05:37,  4.57it/s]
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train:  56%|█████▌    | 1974/3515 [09:00<05:35,  4.59it/s]
overall:  49%|████▉     | 1975/4000 [09:03<08:23,  4.02it/s]

train:  56%|█████▌    | 1975/3515 [09:01<06:23,  4.02it/s]
overall:  49%|████▉     | 1976/4000 [09:03<08:00,  4.21it/s]

train:  56%|█████▌    | 1976/3515 [09:01<06:05,  4.21it/s]
overall:  49%|████▉     | 1977/4000 [09:03<07:49,  4.31it/s]

train:  56%|█████▌    | 1977/3515 [09:01<05:57,  4.31it/s]
overall:  49%|████▉     | 1978/4000 [09:03<07:41,  4.38it/s]

train:  56%|█████▋    | 1978/3515 [09:01<05:50,  4.38it/s]
overall:  49%|████▉     | 1979/4000 [09:04<07:49,  4.30it/s]

train:  56%|█████▋    | 1979/3515 [09:02<05:56,  4.30it/s]
overall:  50%|████▉     | 1980/4000 [09:04<08:14,  4.08it/s]

train:  56%|█████▋    | 1980/3515 [09:02<06:16,  4.08it/s]
overall:  50%|████▉     | 1981/4000 [09:04<07:20,  4.58it/s]

train:  56%|█████▋    | 1981/3515 [09:02<05:34,  4.58it/s]
overall:  50%|████▉     | 1982/4000 [09:04<07:03,  4.76it/s]

train:  56%|█████▋    | 1982/3515 [09:02<05:21,  4.76it/s]
overall:  50%|████▉     | 1983/4000 [09:04<06:03,  5.55it/s]

train:  56%|█████▋    | 1983/3515 [09:02<04:35,  5.55it/s]
overall:  50%|████▉     | 1984/4000 [09:05<06:25,  5.22it/s]

train:  56%|█████▋    | 1984/3515 [09:02<04:53,  5.22it/s]
overall:  50%|████▉     | 1985/4000 [09:05<06:43,  4.99it/s]

train:  56%|█████▋    | 1985/3515 [09:03<05:06,  4.99it/s]
overall:  50%|████▉     | 1986/4000 [09:05<05:47,  5.80it/s]

train:  57%|█████▋    | 1986/3515 [09:03<04:23,  5.80it/s]
overall:  50%|████▉     | 1987/4000 [09:05<06:05,  5.50it/s]

train:  57%|█████▋    | 1987/3515 [09:03<04:37,  5.50it/s]
overall:  50%|████▉     | 1988/4000 [09:05<07:01,  4.77it/s]

train:  57%|█████▋    | 1988/3515 [09:03<05:20,  4.77it/s]
overall:  50%|████▉     | 1989/4000 [09:06<07:05,  4.73it/s]

train:  57%|█████▋    | 1989/3515 [09:03<05:22,  4.73it/s]
overall:  50%|████▉     | 1990/4000 [09:06<07:10,  4.67it/s]

train:  57%|█████▋    | 1990/3515 [09:04<05:26,  4.67it/s]
overall:  50%|████▉     | 1991/4000 [09:06<07:11,  4.65it/s]

train:  57%|█████▋    | 1991/3515 [09:04<05:27,  4.65it/s]
overall:  50%|████▉     | 1992/4000 [09:06<06:15,  5.35it/s]

train:  57%|█████▋    | 1992/3515 [09:04<04:44,  5.35it/s]
overall:  50%|████▉     | 1993/4000 [09:06<06:32,  5.12it/s]

train:  57%|█████▋    | 1993/3515 [09:04<04:57,  5.12it/s]
overall:  50%|████▉     | 1994/4000 [09:07<06:38,  5.03it/s]

train:  57%|█████▋    | 1994/3515 [09:04<05:02,  5.03it/s]
overall:  50%|████▉     | 1995/4000 [09:07<07:25,  4.50it/s]

train:  57%|█████▋    | 1995/3515 [09:05<05:38,  4.50it/s]
overall:  50%|████▉     | 1996/4000 [09:07<07:14,  4.61it/s]

train:  57%|█████▋    | 1996/3515 [09:05<05:29,  4.61it/s]
overall:  50%|████▉     | 1997/4000 [09:07<07:15,  4.60it/s]

train:  57%|█████▋    | 1997/3515 [09:05<05:29,  4.60it/s]
overall:  50%|████▉     | 1998/4000 [09:07<07:09,  4.66it/s]

train:  57%|█████▋    | 1998/3515 [09:05<05:25,  4.66it/s]
overall:  50%|████▉     | 1999/4000 [09:08<07:49,  4.26it/s]

train:  57%|█████▋    | 1999/3515 [09:06<05:55,  4.26it/s]dev loss: 1.8011541366577148
dev per: 0.4508064516129032
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.521328330039978
train per: 0.40674969055498017
train loss: 1.4814913272857666
train per: 0.40483972344437463
train loss: 1.5672519207000732
train per: 0.4133002006200985
train loss: 1.4783223867416382
train per: 0.4021684597803668
train loss: 1.5714319944381714
train per: 0.412479815455594
train loss: 1.5262845754623413
train per: 0.40905471238523516
train loss: 1.4973722696304321
train per: 0.40505312257061415
train loss: 1.5038397312164307
train per: 0.39692068116742857
train loss: 1.532303810119629
train per: 0.409394213812497
train loss: 1.4986122846603394
train per: 0.4018048093474519
train loss: 1.5208611488342285
train per: 0.3991051041354337
train loss: 1.4744585752487183
train per: 0.3954398338244529
train loss: 1.5189952850341797
train per: 0.40306251581878005
train loss: 1.4567625522613525
train per: 0.3919773635153129
train loss: 1.4972065687179565
train per: 0.4044393196886711
train loss: 1.5637084245681763
train per: 0.4109238786343934
train loss: 1.538573145866394
train per: 0.41346831987259697
train loss: 1.4778770208358765
train per: 0.3991844258860989
train loss: 1.4910999536514282
train per: 0.40025412960609913
train loss: 1.5119249820709229
train per: 0.40366655136630925
train loss: 1.4921605587005615
train per: 0.40511763695689507
train loss: 1.4786326885223389
train per: 0.397215777262181
train loss: 1.4624954462051392
train per: 0.39761620977353995
train loss: 1.5307111740112305
train per: 0.40848850465513964
train loss: 1.56313955783844
train per: 0.4208352566750079
train loss: 1.5377590656280518
train per: 0.4058120836204916
train loss: 1.4755265712738037
train per: 0.4012969467711429
train loss: 1.557226300239563
train per: 0.4109783508813439
train loss: 1.5117653608322144
train per: 0.4009492413083631
train loss: 1.5159871578216553
train per: 0.40240809592987464
train loss: 1.5100467205047607
train per: 0.4035911247915865
train loss: 1.5244194269180298
train per: 0.4088908343668685
train loss: 1.5099759101867676
train per: 0.40265221402214024
train loss: 1.5064380168914795
train per: 0.40615416070333266
train loss: 1.4541680812835693
train per: 0.39110810745576985
train loss: 1.4577076435089111
train per: 0.40574944948870323
train loss: 1.5082350969314575
train per: 0.40791569335315353
train loss: 1.4898769855499268
train per: 0.40127056604710026
train loss: 1.4624565839767456
train per: 0.4011434794445957
train loss: 1.567507028579712
train per: 0.4096875577740802
train loss: 1.523004174232483
train per: 0.4005529829609315
train loss: 1.5174278020858765
train per: 0.4065216273208867
train loss: 1.503779411315918
train per: 0.40021907986456884
train loss: 1.456770420074463
train per: 0.3908706166868198
train loss: 1.5122191905975342
train per: 0.4038582073960582
train loss: 1.4886817932128906
train per: 0.3988326327344775
train loss: 1.49018394947052
train per: 0.3985884101040119
train loss: 1.5403603315353394
train per: 0.404765215778983
train loss: 1.4653031826019287
train per: 0.3924264811019494
train loss: 1.507860541343689
train per: 0.399588527169309
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 510/2703 [00:00<00:00, 5095.17it/s]


word -> phonemes:  41%|████      | 1097/2703 [00:00<00:00, 5550.22it/s]


word -> phonemes:  61%|██████    | 1653/2703 [00:00<00:00, 4816.77it/s]


word -> phonemes:  84%|████████▍ | 2272/2703 [00:00<00:00, 5310.61it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5119.70it/s]



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


dev:   0%|          | 1/2703 [00:01<52:48,  1.17s/it]


dev:   0%|          | 3/2703 [00:01<16:44,  2.69it/s]


dev:   0%|          | 5/2703 [00:01<09:39,  4.65it/s]


dev:   0%|          | 7/2703 [00:01<06:55,  6.49it/s]


dev:   0%|          | 9/2703 [00:01<05:39,  7.95it/s]


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dev:   0%|          | 13/2703 [00:02<04:11, 10.71it/s]


dev:   1%|          | 15/2703 [00:02<03:49, 11.73it/s]


dev:   1%|          | 17/2703 [00:02<03:24, 13.16it/s]


dev:   1%|          | 19/2703 [00:02<03:08, 14.27it/s]


dev:   1%|          | 21/2703 [00:02<02:59, 14.90it/s]


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dev:   1%|          | 25/2703 [00:02<02:54, 15.38it/s]


dev:   1%|          | 27/2703 [00:02<03:00, 14.79it/s]


dev:   1%|          | 29/2703 [00:03<02:56, 15.11it/s]


dev:   1%|          | 31/2703 [00:03<02:47, 15.98it/s]


dev:   1%|          | 33/2703 [00:03<02:46, 16.05it/s]


dev:   1%|▏         | 35/2703 [00:03<02:38, 16.79it/s]


dev:   1%|▏         | 37/2703 [00:03<02:43, 16.27it/s]


dev:   1%|▏         | 39/2703 [00:03<02:44, 16.21it/s]


dev:   2%|▏         | 41/2703 [00:03<02:36, 17.06it/s]


dev:   2%|▏         | 43/2703 [00:03<02:33, 17.29it/s]


dev:   2%|▏         | 45/2703 [00:04<02:35, 17.06it/s]


dev:   2%|▏         | 47/2703 [00:04<02:29, 17.72it/s]


dev:   2%|▏         | 49/2703 [00:04<02:28, 17.89it/s]


dev:   2%|▏         | 51/2703 [00:04<02:29, 17.70it/s]


dev:   2%|▏         | 53/2703 [00:04<02:31, 17.48it/s]


dev:   2%|▏         | 55/2703 [00:04<02:28, 17.88it/s]


dev:   2%|▏         | 57/2703 [00:04<02:31, 17.49it/s]


dev:   2%|▏         | 59/2703 [00:04<02:29, 17.65it/s]


dev:   2%|▏         | 61/2703 [00:04<02:32, 17.29it/s]


dev:   2%|▏         | 63/2703 [00:05<02:33, 17.19it/s]


dev:   2%|▏         | 65/2703 [00:05<02:39, 16.57it/s]


dev:   2%|▏         | 67/2703 [00:05<02:43, 16.08it/s]


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overall:  50%|█████     | 2003/4000 [11:17<7:25:36, 13.39s/it] 

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train:  57%|█████▋    | 2005/3515 [11:15<2:47:29,  6.66s/it]
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train:  57%|█████▋    | 2006/3515 [11:15<1:58:49,  4.72s/it]
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overall:  50%|█████     | 2009/4000 [11:18<58:27,  1.76s/it]  

train:  57%|█████▋    | 2009/3515 [11:16<44:13,  1.76s/it]  
overall:  50%|█████     | 2010/4000 [11:18<43:07,  1.30s/it]

train:  57%|█████▋    | 2010/3515 [11:16<32:36,  1.30s/it]
overall:  50%|█████     | 2011/4000 [11:18<32:22,  1.02it/s]

train:  57%|█████▋    | 2011/3515 [11:16<24:29,  1.02it/s]
overall:  50%|█████     | 2012/4000 [11:18<25:18,  1.31it/s]

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overall:  50%|█████     | 2013/4000 [11:19<20:00,  1.66it/s]

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train:  57%|█████▋    | 2014/3515 [11:17<11:54,  2.10it/s]
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overall:  74%|███████▍  | 2961/4000 [14:41<03:16,  5.27it/s]

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train:  85%|████████▌ | 2994/3515 [14:46<01:52,  4.65it/s]
overall:  75%|███████▍  | 2995/4000 [14:48<03:41,  4.54it/s]

train:  85%|████████▌ | 2995/3515 [14:46<01:54,  4.54it/s]
overall:  75%|███████▍  | 2996/4000 [14:48<03:45,  4.45it/s]

train:  85%|████████▌ | 2996/3515 [14:46<01:56,  4.45it/s]
overall:  75%|███████▍  | 2997/4000 [14:49<03:44,  4.47it/s]

train:  85%|████████▌ | 2997/3515 [14:47<01:55,  4.47it/s]
overall:  75%|███████▍  | 2998/4000 [14:49<03:35,  4.65it/s]

train:  85%|████████▌ | 2998/3515 [14:47<01:51,  4.65it/s]
overall:  75%|███████▍  | 2999/4000 [14:49<03:39,  4.56it/s]

train:  85%|████████▌ | 2999/3515 [14:47<01:53,  4.56it/s]dev loss: 1.796166181564331
dev per: 0.44758584807492197
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.4516575336456299
train per: 0.39376968848442423
train loss: 1.4285799264907837
train per: 0.3973455226346514
train loss: 1.4749727249145508
train per: 0.39583029241473267
train loss: 1.5098894834518433
train per: 0.40470460551151377
train loss: 1.494539737701416
train per: 0.39819896228297746
train loss: 1.471280574798584
train per: 0.3931988710676671
train loss: 1.5016454458236694
train per: 0.39592860995801965
train loss: 1.5301512479782104
train per: 0.4108721624850657
train loss: 1.4200053215026855
train per: 0.38704181473007837
train loss: 1.4641010761260986
train per: 0.39247196628812225
train loss: 1.493847370147705
train per: 0.3998331284033023
train loss: 1.472208023071289
train per: 0.39756271670405874
train loss: 1.5478906631469727
train per: 0.4144033361847733
train loss: 1.5125318765640259
train per: 0.4033968215455538
train loss: 1.4308197498321533
train per: 0.39095035460992905
train loss: 1.5112037658691406
train per: 0.40158472897532865
train loss: 1.4962210655212402
train per: 0.39707406980762583
train loss: 1.471718668937683
train per: 0.3976371912238531
train loss: 1.4567772150039673
train per: 0.3895350220002378
train loss: 1.4704245328903198
train per: 0.3961475980505918
train loss: 1.4617457389831543
train per: 0.39778239778239777
train loss: 1.5453250408172607
train per: 0.41010043853444617
train loss: 1.551670789718628
train per: 0.40788819032972995
train loss: 1.4723724126815796
train per: 0.39767799692264655
train loss: 1.4550131559371948
train per: 0.39437714408233276
train loss: 1.458726406097412
train per: 0.39565859702630574
train loss: 1.4571549892425537
train per: 0.3913536231199679
train loss: 1.4662269353866577
train per: 0.39505491870113674
train loss: 1.4581973552703857
train per: 0.3941121078455667
train loss: 1.5455760955810547
train per: 0.4060459932215727
train loss: 1.4321212768554688
train per: 0.3931711932324132
train loss: 1.4422757625579834
train per: 0.39291523585758176
train loss: 1.4781419038772583
train per: 0.396131437893265
train loss: 1.467360496520996
train per: 0.39670167172109577
train loss: 1.4850964546203613
train per: 0.393694400837258
train loss: 1.4385126829147339
train per: 0.3940605525836872
train loss: 1.5181028842926025
train per: 0.4091973862655653
train loss: 1.4494450092315674
train per: 0.3931380911761918
train loss: 1.4534189701080322
train per: 0.3866408570216377
train loss: 1.436575174331665
train per: 0.3848135457569467
train loss: 1.4406187534332275
train per: 0.39131407547357433
train loss: 1.4739258289337158
train per: 0.4053465554331287
train loss: 1.430679440498352
train per: 0.39167356530563197
train loss: 1.5318323373794556
train per: 0.40388340664099
train loss: 1.4439828395843506
train per: 0.38821885190744865
train loss: 1.4941997528076172
train per: 0.3980002499687539
train loss: 1.4499549865722656
train per: 0.3898671431453356
train loss: 1.527574896812439
train per: 0.4067501188401204
train loss: 1.4788644313812256
train per: 0.40248920754335915
train loss: 1.519120454788208
train per: 0.4152283262649176
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 448/2703 [00:00<00:00, 4478.16it/s]


word -> phonemes:  37%|███▋      | 995/2703 [00:00<00:00, 5055.94it/s]


word -> phonemes:  57%|█████▋    | 1530/2703 [00:00<00:00, 5135.93it/s]


word -> phonemes:  78%|███████▊  | 2102/2703 [00:00<00:00, 5363.17it/s]


word -> phonemes:  98%|█████████▊| 2639/2703 [00:00<00:00, 5359.45it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5216.12it/s]



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


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overall:  75%|███████▍  | 2999/4000 [16:58<03:39,  4.56it/s]

train:  85%|████████▌ | 2999/3515 [16:56<01:53,  4.56it/s]
                                                            

                                                          

overall:  75%|███████▍  | 2999/4000 [16:58<03:39,  4.56it/s]

train:  85%|████████▌ | 2999/3515 [16:56<01:53,  4.56it/s]
overall:  75%|███████▌  | 3000/4000 [16:58<10:45:18, 38.72s/it]

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overall:  75%|███████▌  | 3001/4000 [16:58<7:32:18, 27.17s/it] 

train:  85%|████████▌ | 3001/3515 [16:56<3:52:43, 27.17s/it]
overall:  75%|███████▌  | 3002/4000 [16:58<5:17:25, 19.08s/it]

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overall:  75%|███████▌  | 3003/4000 [16:58<3:43:02, 13.42s/it]

train:  85%|████████▌ | 3003/3515 [16:56<1:54:32, 13.42s/it]
overall:  75%|███████▌  | 3004/4000 [16:59<2:36:52,  9.45s/it]

train:  85%|████████▌ | 3004/3515 [16:56<1:20:29,  9.45s/it]
overall:  75%|███████▌  | 3005/4000 [16:59<1:50:44,  6.68s/it]

train:  85%|████████▌ | 3005/3515 [16:57<56:45,  6.68s/it]  
overall:  75%|███████▌  | 3006/4000 [16:59<1:18:38,  4.75s/it]

train:  86%|████████▌ | 3006/3515 [16:57<40:16,  4.75s/it]
overall:  75%|███████▌  | 3007/4000 [16:59<56:06,  3.39s/it]  

train:  86%|████████▌ | 3007/3515 [16:57<28:42,  3.39s/it]
overall:  75%|███████▌  | 3008/4000 [16:59<40:16,  2.44s/it]

train:  86%|████████▌ | 3008/3515 [16:57<20:35,  2.44s/it]
overall:  75%|███████▌  | 3009/4000 [17:00<29:15,  1.77s/it]

train:  86%|████████▌ | 3009/3515 [16:58<14:56,  1.77s/it]
overall:  75%|███████▌  | 3010/4000 [17:00<21:27,  1.30s/it]

train:  86%|████████▌ | 3010/3515 [16:58<10:56,  1.30s/it]
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train: 100%|██████████| 3515/3515 [18:46<00:00,  5.01it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [18:46<00:00,  3.12it/s]
dev loss: 1.7901092767715454
dev per: 0.4458896982310094
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.403075098991394
train per: 0.38530479409187635
train loss: 1.4548088312149048
train per: 0.39149063915725124
train loss: 1.4374781847000122
train per: 0.38901869158878505
train loss: 1.4434177875518799
train per: 0.3873683149352286
train loss: 1.4719727039337158
train per: 0.3940161431580941
train loss: 1.475589632987976
train per: 0.3964913171524322
train loss: 1.4296085834503174
train per: 0.3894373646300307
train loss: 1.5127978324890137
train per: 0.4028001248769242
train loss: 1.5153974294662476
train per: 0.4033065259069293
train loss: 1.4441043138504028
train per: 0.38868812705054445
train loss: 1.4817129373550415
train per: 0.398758002912648
train loss: 1.5219109058380127
train per: 0.4071282184165273
train loss: 1.42448890209198
train per: 0.39142030444081016
train loss: 1.4456908702850342
train per: 0.3907114670651692
train loss: 1.4764750003814697
train per: 0.39880777156314395
train loss: 1.5011790990829468
train per: 0.3985548540037838
train loss: 1.5047399997711182
train per: 0.39552443712246016
train loss: 1.4597737789154053
train per: 0.3923709288930778
train loss: 1.4762217998504639
train per: 0.39972585407001265
train loss: 1.4659168720245361
train per: 0.39447372710971035
train loss: 1.483392596244812
train per: 0.40623452374401586
train loss: 1.4997812509536743
train per: 0.40071059934126924
train loss: 1.5413002967834473
train per: 0.4120961772641532
train loss: 1.4900732040405273
train per: 0.40318190815518606
train loss: 1.5140407085418701
train per: 0.3992536432131132
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 456/3515 [00:00<00:00, 4553.97it/s]

word -> phonemes:  26%|██▌       | 912/3515 [00:00<00:00, 4319.35it/s]

word -> phonemes:  40%|████      | 1418/3515 [00:00<00:00, 4645.30it/s]

word -> phonemes:  54%|█████▎    | 1884/3515 [00:00<00:00, 4258.04it/s]

word -> phonemes:  66%|██████▌   | 2322/3515 [00:00<00:00, 4298.76it/s]

word -> phonemes:  78%|███████▊  | 2756/3515 [00:00<00:00, 4085.74it/s]

word -> phonemes:  91%|█████████ | 3204/3515 [00:00<00:00, 4203.66it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4221.31it/s]


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overall:  88%|████████▊ | 3531/4000 [18:55<01:38,  4.74it/s]

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overall:  88%|████████▊ | 3532/4000 [18:55<01:38,  4.74it/s]

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overall:  88%|████████▊ | 3533/4000 [18:55<01:33,  5.00it/s]

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overall:  88%|████████▊ | 3534/4000 [18:55<01:35,  4.87it/s]

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overall:  88%|████████▊ | 3539/4000 [18:56<01:45,  4.37it/s]

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overall:  89%|████████▊ | 3544/4000 [18:57<01:24,  5.37it/s]

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overall:  89%|████████▊ | 3546/4000 [18:58<01:18,  5.75it/s]

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overall:  89%|████████▊ | 3548/4000 [18:58<01:26,  5.24it/s]

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overall:  89%|████████▉ | 3550/4000 [18:59<01:27,  5.13it/s]

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overall:  89%|████████▉ | 3551/4000 [18:59<01:51,  4.04it/s]

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overall:  89%|████████▉ | 3557/4000 [19:00<01:25,  5.16it/s]

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overall:  89%|████████▉ | 3558/4000 [19:00<01:27,  5.06it/s]

train:   1%|          | 43/3515 [00:10<11:26,  5.06it/s]
overall:  89%|████████▉ | 3559/4000 [19:00<01:18,  5.63it/s]

train:   1%|▏         | 44/3515 [00:10<10:16,  5.63it/s]
overall:  89%|████████▉ | 3560/4000 [19:01<01:23,  5.29it/s]

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overall:  89%|████████▉ | 3561/4000 [19:01<01:28,  4.99it/s]

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overall:  90%|████████▉ | 3591/4000 [19:07<01:24,  4.84it/s]

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overall:  90%|████████▉ | 3592/4000 [19:07<01:21,  5.01it/s]

train:   2%|▏         | 77/3515 [00:17<11:25,  5.01it/s]
overall:  90%|████████▉ | 3593/4000 [19:08<01:23,  4.88it/s]

train:   2%|▏         | 78/3515 [00:17<11:43,  4.88it/s]
overall:  90%|████████▉ | 3594/4000 [19:08<01:22,  4.95it/s]

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overall:  90%|████████▉ | 3595/4000 [19:08<01:17,  5.21it/s]

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overall:  90%|████████▉ | 3596/4000 [19:08<01:18,  5.16it/s]

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overall:  90%|████████▉ | 3597/4000 [19:08<01:24,  4.76it/s]

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overall:  90%|████████▉ | 3598/4000 [19:09<01:23,  4.84it/s]

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overall:  90%|████████▉ | 3599/4000 [19:09<01:44,  3.85it/s]

train:   2%|▏         | 84/3515 [00:18<14:51,  3.85it/s]
overall:  90%|█████████ | 3600/4000 [19:09<01:40,  3.98it/s]

train:   2%|▏         | 85/3515 [00:18<14:21,  3.98it/s]
overall:  90%|█████████ | 3601/4000 [19:09<01:35,  4.17it/s]

train:   2%|▏         | 86/3515 [00:19<13:43,  4.17it/s]
overall:  90%|█████████ | 3602/4000 [19:10<01:29,  4.42it/s]

train:   2%|▏         | 87/3515 [00:19<12:55,  4.42it/s]
overall:  90%|█████████ | 3603/4000 [19:10<01:28,  4.51it/s]

train:   3%|▎         | 88/3515 [00:19<12:40,  4.51it/s]
overall:  90%|█████████ | 3604/4000 [19:10<01:26,  4.57it/s]

train:   3%|▎         | 89/3515 [00:19<12:29,  4.57it/s]
overall:  90%|█████████ | 3606/4000 [19:10<01:08,  5.77it/s]

train:   3%|▎         | 91/3515 [00:20<09:53,  5.77it/s]
overall:  90%|█████████ | 3607/4000 [19:10<01:11,  5.47it/s]

train:   3%|▎         | 92/3515 [00:20<10:25,  5.47it/s]
overall:  90%|█████████ | 3608/4000 [19:11<01:10,  5.60it/s]

train:   3%|▎         | 93/3515 [00:20<10:11,  5.60it/s]
overall:  90%|█████████ | 3609/4000 [19:11<01:14,  5.28it/s]

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overall:  90%|█████████ | 3610/4000 [19:11<01:15,  5.17it/s]

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overall:  90%|█████████ | 3611/4000 [19:11<01:39,  3.92it/s]

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overall:  90%|█████████ | 3612/4000 [19:12<01:33,  4.16it/s]

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overall:  90%|█████████ | 3613/4000 [19:12<01:27,  4.41it/s]

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overall:  90%|█████████ | 3614/4000 [19:12<01:25,  4.52it/s]

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overall:  90%|█████████ | 3615/4000 [19:12<01:24,  4.57it/s]

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overall:  90%|█████████ | 3616/4000 [19:12<01:24,  4.55it/s]

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overall:  90%|█████████ | 3617/4000 [19:13<01:23,  4.57it/s]

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overall:  90%|█████████ | 3618/4000 [19:13<01:24,  4.52it/s]

train:   3%|▎         | 103/3515 [00:22<12:34,  4.52it/s]
overall:  90%|█████████ | 3619/4000 [19:13<01:23,  4.57it/s]

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overall:  90%|█████████ | 3620/4000 [19:13<01:23,  4.54it/s]

train:   3%|▎         | 105/3515 [00:23<12:31,  4.53it/s]
overall:  91%|█████████ | 3621/4000 [19:14<01:24,  4.49it/s]

train:   3%|▎         | 106/3515 [00:23<12:38,  4.49it/s]
overall:  91%|█████████ | 3622/4000 [19:14<01:23,  4.55it/s]

train:   3%|▎         | 107/3515 [00:23<12:28,  4.55it/s]
overall:  91%|█████████ | 3623/4000 [19:14<01:39,  3.77it/s]

train:   3%|▎         | 108/3515 [00:23<15:03,  3.77it/s]
overall:  91%|█████████ | 3624/4000 [19:14<01:34,  4.00it/s]

train:   3%|▎         | 109/3515 [00:24<14:12,  4.00it/s]
overall:  91%|█████████ | 3625/4000 [19:15<01:30,  4.13it/s]

train:   3%|▎         | 110/3515 [00:24<13:44,  4.13it/s]
overall:  91%|█████████ | 3626/4000 [19:15<01:25,  4.40it/s]

train:   3%|▎         | 111/3515 [00:24<12:53,  4.40it/s]
overall:  91%|█████████ | 3627/4000 [19:15<01:25,  4.38it/s]

train:   3%|▎         | 112/3515 [00:24<12:56,  4.38it/s]
overall:  91%|█████████ | 3628/4000 [19:15<01:11,  5.23it/s]

train:   3%|▎         | 113/3515 [00:24<10:50,  5.23it/s]
overall:  91%|█████████ | 3629/4000 [19:15<01:12,  5.09it/s]

train:   3%|▎         | 114/3515 [00:25<11:08,  5.09it/s]
overall:  91%|█████████ | 3630/4000 [19:16<01:13,  5.01it/s]

train:   3%|▎         | 115/3515 [00:25<11:18,  5.01it/s]
overall:  91%|█████████ | 3631/4000 [19:16<01:12,  5.10it/s]

train:   3%|▎         | 116/3515 [00:25<11:06,  5.10it/s]
overall:  91%|█████████ | 3632/4000 [19:16<01:13,  5.00it/s]

train:   3%|▎         | 117/3515 [00:25<11:19,  5.00it/s]
overall:  91%|█████████ | 3633/4000 [19:16<01:15,  4.87it/s]

train:   3%|▎         | 118/3515 [00:25<11:37,  4.87it/s]
overall:  91%|█████████ | 3634/4000 [19:16<01:15,  4.82it/s]

train:   3%|▎         | 119/3515 [00:26<11:45,  4.82it/s]
overall:  91%|█████████ | 3635/4000 [19:17<01:35,  3.83it/s]

train:   3%|▎         | 120/3515 [00:26<14:46,  3.83it/s]
overall:  91%|█████████ | 3636/4000 [19:17<01:28,  4.10it/s]

train:   3%|▎         | 121/3515 [00:26<13:47,  4.10it/s]
overall:  91%|█████████ | 3637/4000 [19:17<01:26,  4.20it/s]

train:   3%|▎         | 122/3515 [00:27<13:27,  4.20it/s]
overall:  91%|█████████ | 3638/4000 [19:17<01:22,  4.39it/s]

train:   3%|▎         | 123/3515 [00:27<12:52,  4.39it/s]
overall:  91%|█████████ | 3639/4000 [19:18<01:21,  4.44it/s]

train:   4%|▎         | 124/3515 [00:27<12:43,  4.44it/s]
overall:  91%|█████████ | 3640/4000 [19:18<01:20,  4.48it/s]

train:   4%|▎         | 125/3515 [00:27<12:37,  4.48it/s]
overall:  91%|█████████ | 3641/4000 [19:18<01:21,  4.43it/s]

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overall:  91%|█████████ | 3642/4000 [19:18<01:19,  4.49it/s]

train:   4%|▎         | 127/3515 [00:28<12:34,  4.49it/s]
overall:  91%|█████████ | 3643/4000 [19:18<01:18,  4.56it/s]

train:   4%|▎         | 128/3515 [00:28<12:22,  4.56it/s]
overall:  91%|█████████ | 3644/4000 [19:19<01:17,  4.62it/s]

train:   4%|▎         | 129/3515 [00:28<12:12,  4.62it/s]
overall:  91%|█████████ | 3645/4000 [19:19<01:16,  4.64it/s]

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overall:  91%|█████████ | 3646/4000 [19:19<01:17,  4.59it/s]

train:   4%|▎         | 131/3515 [00:28<12:16,  4.59it/s]
overall:  91%|█████████ | 3647/4000 [19:19<01:24,  4.18it/s]

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overall:  91%|█████████ | 3648/4000 [19:20<01:14,  4.75it/s]

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overall:  91%|█████████ | 3649/4000 [19:20<01:13,  4.77it/s]

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overall:  91%|█████████▏| 3650/4000 [19:20<01:08,  5.10it/s]

train:   4%|▍         | 135/3515 [00:29<11:03,  5.10it/s]
overall:  91%|█████████▏| 3651/4000 [19:20<01:01,  5.63it/s]

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overall:  91%|█████████▏| 3652/4000 [19:20<01:05,  5.27it/s]

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overall:  91%|█████████▏| 3653/4000 [19:21<01:13,  4.74it/s]

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overall:  91%|█████████▏| 3655/4000 [19:21<01:00,  5.66it/s]

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overall:  91%|█████████▏| 3656/4000 [19:21<01:04,  5.34it/s]

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overall:  91%|█████████▏| 3657/4000 [19:21<01:07,  5.06it/s]

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overall:  91%|█████████▏| 3658/4000 [19:21<01:08,  4.98it/s]

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overall:  91%|█████████▏| 3659/4000 [19:22<01:21,  4.17it/s]

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overall:  92%|█████████▏| 3660/4000 [19:22<01:18,  4.33it/s]

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overall:  92%|█████████▏| 3661/4000 [19:22<01:16,  4.46it/s]

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overall:  92%|█████████▏| 3662/4000 [19:22<01:14,  4.54it/s]

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overall:  92%|█████████▏| 3664/4000 [19:23<01:05,  5.17it/s]

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overall:  92%|█████████▏| 3665/4000 [19:23<01:09,  4.82it/s]

train:   4%|▍         | 150/3515 [00:32<11:38,  4.82it/s]
overall:  92%|█████████▏| 3666/4000 [19:23<01:10,  4.74it/s]

train:   4%|▍         | 151/3515 [00:33<11:49,  4.74it/s]
overall:  92%|█████████▏| 3668/4000 [19:23<00:50,  6.56it/s]

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overall:  92%|█████████▏| 3669/4000 [19:24<00:54,  6.08it/s]

train:   4%|▍         | 154/3515 [00:33<09:12,  6.08it/s]
overall:  92%|█████████▏| 3670/4000 [19:24<00:58,  5.61it/s]

train:   4%|▍         | 155/3515 [00:33<09:59,  5.61it/s]
overall:  92%|█████████▏| 3671/4000 [19:24<01:12,  4.51it/s]

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overall:  92%|█████████▏| 3672/4000 [19:24<01:11,  4.58it/s]

train:   4%|▍         | 157/3515 [00:34<12:12,  4.58it/s]
overall:  92%|█████████▏| 3673/4000 [19:24<01:00,  5.40it/s]

train:   4%|▍         | 158/3515 [00:34<10:21,  5.40it/s]
overall:  92%|█████████▏| 3674/4000 [19:25<01:03,  5.16it/s]

train:   5%|▍         | 159/3515 [00:34<10:53,  5.13it/s]
overall:  92%|█████████▏| 3675/4000 [19:25<01:05,  4.98it/s]

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overall:  92%|█████████▏| 3676/4000 [19:25<01:05,  4.93it/s]

train:   5%|▍         | 161/3515 [00:34<11:19,  4.93it/s]
overall:  92%|█████████▏| 3677/4000 [19:25<01:23,  3.87it/s]

train:   5%|▍         | 162/3515 [00:35<14:24,  3.88it/s]
overall:  92%|█████████▏| 3678/4000 [19:26<01:18,  4.11it/s]

train:   5%|▍         | 163/3515 [00:35<13:34,  4.11it/s]
overall:  92%|█████████▏| 3679/4000 [19:26<01:14,  4.29it/s]

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overall:  92%|█████████▏| 3680/4000 [19:26<01:12,  4.41it/s]

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overall:  92%|█████████▏| 3681/4000 [19:26<01:12,  4.43it/s]

train:   5%|▍         | 166/3515 [00:36<12:36,  4.43it/s]
overall:  92%|█████████▏| 3683/4000 [19:27<00:59,  5.28it/s]

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overall: 100%|█████████▉| 3999/4000 [20:34<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [01:43<10:12,  4.95it/s]train loss: 1.4780083894729614
train per: 0.3905965161028965
train loss: 1.4450381994247437
train per: 0.3960571911126642
train loss: 1.4767112731933594
train per: 0.39594735636280326
train loss: 1.5142428874969482
train per: 0.40070921985815605
train loss: 1.48586106300354
train per: 0.4033775388594467
train loss: 1.4821683168411255
train per: 0.39967252158380473
train loss: 1.5026038885116577
train per: 0.396649454962708
train loss: 1.470260500907898
train per: 0.3990760120475777
train loss: 1.4729955196380615
train per: 0.40865090686773997
train loss: 1.4786748886108398
train per: 0.406035417419588
train loss: 1.4756845235824585
train per: 0.394966294474376
train loss: 1.5262507200241089
train per: 0.40457385095939313
train loss: 1.4542163610458374
train per: 0.391531190926276
train loss: 1.4863009452819824
train per: 0.4012112036336109
train loss: 1.5122123956680298
train per: 0.4068598462448256
train loss: 1.4598156213760376
train per: 0.3947495366491482
train loss: 1.4547383785247803
train per: 0.3953746120880745
train loss: 1.4714380502700806
train per: 0.3993440129296002
train loss: 1.4843289852142334
train per: 0.39428627818621403
train loss: 1.4389889240264893
train per: 0.38714803131206915
train loss: 1.478980302810669
train per: 0.4009208384208384
train loss: 1.484983205795288
train per: 0.3957202735495257
train loss: 1.4810643196105957
train per: 0.39963299254069257
train loss: 1.4698933362960815
train per: 0.3979041042598716
train loss: 1.4687433242797852
train per: 0.39366919304502895
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▊        | 502/2703 [00:00<00:00, 5015.62it/s]


word -> phonemes:  37%|███▋      | 1004/2703 [00:00<00:00, 4674.17it/s]


word -> phonemes:  54%|█████▍    | 1473/2703 [00:00<00:00, 4389.74it/s]


word -> phonemes:  76%|███████▌  | 2058/2703 [00:00<00:00, 4929.93it/s]


word -> phonemes:  95%|█████████▌| 2574/2703 [00:00<00:00, 5006.94it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4875.38it/s]



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


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overall: 100%|█████████▉| 3999/4000 [22:45<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [03:54<10:12,  4.95it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:45<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [03:54<10:12,  4.95it/s]
overall: 100%|██████████| 4000/4000 [22:45<00:00, 38.51s/it]

train:  14%|█▍        | 485/3515 [03:54<32:24:54, 38.51s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:55<24:30,  2.06it/s]   

overall: 100%|██████████| 4000/4000 [22:46<00:00,  2.93it/s]
dev loss: 1.8205164670944214
dev per: 0.4559677419354839
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt