/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")
2023-10-10 19:43:51 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/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_4196_encode_norm2 {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_test_8x_400k_4196_encode_norm2
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:   9%|▉         | 310/3515 [00:00<00:01, 3091.56it/s]

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word -> phonemes:  35%|███▌      | 1242/3515 [00:00<00:00, 2942.65it/s]

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word -> phonemes:  71%|███████▏  | 2507/3515 [00:00<00:00, 2916.66it/s]

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word -> phonemes:  89%|████████▊ | 3116/3515 [00:01<00:00, 2909.97it/s]

word -> phonemes:  98%|█████████▊| 3429/3515 [00:01<00:00, 2972.47it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2981.25it/s]


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train:   4%|▍         | 149/3515 [00:32<13:26,  4.17it/s]
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train:   4%|▍         | 155/3515 [00:34<15:09,  3.69it/s]
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train:   4%|▍         | 156/3515 [00:34<12:24,  4.51it/s]
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train:   4%|▍         | 157/3515 [00:34<12:35,  4.44it/s]
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train:   5%|▍         | 159/3515 [00:35<12:35,  4.44it/s]
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train:   5%|▍         | 160/3515 [00:35<12:32,  4.46it/s]
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train:   5%|▍         | 161/3515 [00:35<12:31,  4.46it/s]
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train:   5%|▍         | 162/3515 [00:35<12:12,  4.58it/s]
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train:   5%|▍         | 164/3515 [00:36<12:19,  4.53it/s]
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train:   5%|▍         | 165/3515 [00:36<12:08,  4.60it/s]
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train:   5%|▍         | 166/3515 [00:36<11:57,  4.67it/s]
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train:   5%|▍         | 172/3515 [00:37<10:05,  5.52it/s]
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train:   5%|▍         | 173/3515 [00:37<09:02,  6.16it/s]
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train:   5%|▍         | 174/3515 [00:38<11:13,  4.96it/s]
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train:   5%|▌         | 177/3515 [00:38<12:02,  4.62it/s]
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train:   5%|▌         | 178/3515 [00:39<13:33,  4.10it/s]
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train:   5%|▌         | 179/3515 [00:39<13:17,  4.18it/s]
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train:   5%|▌         | 180/3515 [00:39<13:03,  4.26it/s]
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train:   5%|▌         | 181/3515 [00:39<12:37,  4.40it/s]
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train:   5%|▌         | 182/3515 [00:40<12:20,  4.50it/s]
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train:   5%|▌         | 183/3515 [00:40<12:18,  4.51it/s]
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train:   5%|▌         | 184/3515 [00:40<10:42,  5.19it/s]
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train:   5%|▌         | 185/3515 [00:40<10:39,  5.21it/s]
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train:   5%|▌         | 186/3515 [00:40<11:14,  4.93it/s]
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train:   5%|▌         | 187/3515 [00:40<11:28,  4.83it/s]
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train:   5%|▌         | 188/3515 [00:41<11:14,  4.93it/s]
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train:   5%|▌         | 189/3515 [00:41<11:25,  4.85it/s]
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train:   5%|▌         | 190/3515 [00:41<11:35,  4.78it/s]
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train:   5%|▌         | 191/3515 [00:41<11:36,  4.77it/s]
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train:   5%|▌         | 192/3515 [00:42<11:52,  4.67it/s]
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overall:  10%|▉         | 383/4000 [01:27<12:43,  4.74it/s]

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overall:  10%|▉         | 386/4000 [01:27<12:57,  4.65it/s]

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overall:  10%|█         | 408/4000 [01:32<13:00,  4.60it/s]

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overall:  10%|█         | 409/4000 [01:32<13:03,  4.58it/s]

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overall:  10%|█         | 413/4000 [01:33<12:21,  4.84it/s]

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overall:  10%|█         | 418/4000 [01:34<11:18,  5.28it/s]

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overall:  10%|█         | 419/4000 [01:35<18:22,  3.25it/s]

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overall:  10%|█         | 420/4000 [01:35<17:16,  3.45it/s]

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overall:  11%|█         | 421/4000 [01:35<16:10,  3.69it/s]

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overall:  11%|█         | 422/4000 [01:35<15:18,  3.90it/s]

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overall:  11%|█         | 423/4000 [01:36<14:31,  4.10it/s]

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overall:  11%|█         | 424/4000 [01:36<13:06,  4.54it/s]

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overall:  11%|█         | 438/4000 [01:39<12:45,  4.65it/s]

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overall:  11%|█         | 443/4000 [01:40<19:28,  3.04it/s]

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overall:  11%|█         | 448/4000 [01:41<14:17,  4.14it/s]

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overall:  13%|█▎        | 539/4000 [02:02<13:30,  4.27it/s]

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overall:  14%|█▍        | 562/4000 [02:07<12:45,  4.49it/s]

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overall:  14%|█▍        | 564/4000 [02:08<13:40,  4.19it/s]

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overall:  14%|█▍        | 565/4000 [02:08<13:23,  4.28it/s]

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overall:  17%|█▋        | 681/4000 [02:33<11:32,  4.79it/s]

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overall:  17%|█▋        | 688/4000 [02:35<11:06,  4.97it/s]

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overall:  17%|█▋        | 691/4000 [02:35<11:01,  5.00it/s]

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overall:  17%|█▋        | 698/4000 [02:36<08:33,  6.43it/s]

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overall:  17%|█▋        | 699/4000 [02:37<09:17,  5.93it/s]

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overall:  25%|██▍       | 986/4000 [03:35<10:17,  4.88it/s]

train:  28%|██▊       | 986/3515 [03:32<08:38,  4.88it/s]
overall:  25%|██▍       | 987/4000 [03:35<10:01,  5.01it/s]

train:  28%|██▊       | 987/3515 [03:32<08:24,  5.01it/s]
overall:  25%|██▍       | 988/4000 [03:35<11:22,  4.41it/s]

train:  28%|██▊       | 988/3515 [03:33<09:32,  4.41it/s]
overall:  25%|██▍       | 989/4000 [03:35<10:48,  4.64it/s]

train:  28%|██▊       | 989/3515 [03:33<09:04,  4.64it/s]
overall:  25%|██▍       | 990/4000 [03:36<10:24,  4.82it/s]

train:  28%|██▊       | 990/3515 [03:33<08:43,  4.82it/s]
overall:  25%|██▍       | 991/4000 [03:36<11:42,  4.28it/s]

train:  28%|██▊       | 991/3515 [03:33<09:49,  4.28it/s]
overall:  25%|██▍       | 992/4000 [03:36<11:07,  4.51it/s]

train:  28%|██▊       | 992/3515 [03:34<09:19,  4.51it/s]
overall:  25%|██▍       | 993/4000 [03:36<10:44,  4.66it/s]

train:  28%|██▊       | 993/3515 [03:34<09:00,  4.66it/s]
overall:  25%|██▍       | 994/4000 [03:37<10:32,  4.76it/s]

train:  28%|██▊       | 994/3515 [03:34<08:50,  4.76it/s]
overall:  25%|██▍       | 995/4000 [03:37<11:16,  4.44it/s]

train:  28%|██▊       | 995/3515 [03:34<09:26,  4.44it/s]
overall:  25%|██▍       | 996/4000 [03:37<10:25,  4.80it/s]

train:  28%|██▊       | 996/3515 [03:34<08:44,  4.80it/s]
overall:  25%|██▍       | 997/4000 [03:37<10:23,  4.82it/s]

train:  28%|██▊       | 997/3515 [03:35<08:42,  4.82it/s]
overall:  25%|██▍       | 998/4000 [03:37<10:17,  4.86it/s]

train:  28%|██▊       | 998/3515 [03:35<08:37,  4.86it/s]
overall:  25%|██▍       | 999/4000 [03:38<09:56,  5.03it/s]

train:  28%|██▊       | 999/3515 [03:35<08:20,  5.03it/s]train loss: 4.145525932312012
train per: 0.8669470413329404
train loss: 3.7734146118164062
train per: 0.8196465563540575
train loss: 3.4300990104675293
train per: 0.799158944007476
train loss: 3.312009811401367
train per: 0.791667727724159
train loss: 3.2817749977111816
train per: 0.7901982634535915
train loss: 3.44590425491333
train per: 0.7927668728152729
train loss: 3.21172833442688
train per: 0.7914186749926823
train loss: 3.3905105590820312
train per: 0.7902094185181248
train loss: 3.2127022743225098
train per: 0.7828086224514622
train loss: 3.2549889087677
train per: 0.7873938065223349
train loss: 3.4641032218933105
train per: 0.7880782496511414
train loss: 3.2966842651367188
train per: 0.7904072936279853
train loss: 3.225778102874756
train per: 0.792418177537085
train loss: 3.189692735671997
train per: 0.7837002530738393
train loss: 3.129634141921997
train per: 0.7821572367026912
train loss: 3.157729148864746
train per: 0.7860865518845975
train loss: 3.1471478939056396
train per: 0.7859547123623011
train loss: 3.468904495239258
train per: 0.7931150199949663
train loss: 3.2838568687438965
train per: 0.7923151081118304
train loss: 3.2330729961395264
train per: 0.7899652585469009
train loss: 3.1505727767944336
train per: 0.7849268785913339
train loss: 3.1948909759521484
train per: 0.7866847484869033
train loss: 3.14394474029541
train per: 0.7790855988405287
train loss: 3.1752243041992188
train per: 0.7809775429326288
train loss: 3.1881911754608154
train per: 0.7830487315529002
train loss: 3.1680908203125
train per: 0.785255003227889
train loss: 3.150723457336426
train per: 0.7862776025236593
train loss: 3.1161231994628906
train per: 0.7803977855238876
train loss: 3.1501972675323486
train per: 0.7800899299383038
train loss: 3.1353600025177
train per: 0.7846256271250921
train loss: 3.1460952758789062
train per: 0.7829094315152388
train loss: 3.1108455657958984
train per: 0.7801646009895655
train loss: 3.1346943378448486
train per: 0.7825517007571478
train loss: 3.1681036949157715
train per: 0.7838989657502209
train loss: 3.1490478515625
train per: 0.7838412473423104
train loss: 3.2566845417022705
train per: 0.7930842979071671
train loss: 3.2367160320281982
train per: 0.7882775119617225
train loss: 3.16727614402771
train per: 0.7882863340563991
train loss: 3.1680986881256104
train per: 0.7829655477465965
train loss: 3.153366804122925
train per: 0.7801499614585037
train loss: 3.2210965156555176
train per: 0.7880328302885888
train loss: 3.2391083240509033
train per: 0.7890927958927304
train loss: 3.1795201301574707
train per: 0.7820397690827453
train loss: 3.3263888359069824
train per: 0.7872716707511179
train loss: 3.200180768966675
train per: 0.7844581809007191
train loss: 3.165825366973877
train per: 0.7844993141289438
train loss: 3.2848763465881348
train per: 0.7904084798345398
train loss: 3.167325735092163
train per: 0.7860478928754623
train loss: 3.128706455230713
train per: 0.7863283707276159
train loss: 3.1501095294952393
train per: 0.7897324406453048
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 283/2703 [00:00<00:00, 2826.61it/s]


word -> phonemes:  21%|██        | 566/2703 [00:00<00:00, 2825.27it/s]


word -> phonemes:  32%|███▏      | 874/2703 [00:00<00:00, 2940.71it/s]


word -> phonemes:  43%|████▎     | 1169/2703 [00:00<00:00, 2934.85it/s]


word -> phonemes:  55%|█████▍    | 1478/2703 [00:00<00:00, 2988.62it/s]


word -> phonemes:  66%|██████▌   | 1777/2703 [00:00<00:00, 2982.97it/s]


word -> phonemes:  77%|███████▋  | 2085/2703 [00:00<00:00, 3012.98it/s]


word -> phonemes:  88%|████████▊ | 2387/2703 [00:00<00:00, 2989.30it/s]


word -> phonemes:  99%|█████████▉| 2686/2703 [00:00<00:00, 2936.38it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2943.49it/s]



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overall:  47%|████▋     | 1874/4000 [07:49<07:05,  4.99it/s]

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overall:  47%|████▋     | 1880/4000 [07:51<08:00,  4.41it/s]

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overall:  47%|████▋     | 1884/4000 [07:52<08:01,  4.39it/s]

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overall:  47%|████▋     | 1885/4000 [07:52<07:47,  4.52it/s]

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overall:  47%|████▋     | 1889/4000 [07:53<07:24,  4.75it/s]

train:  54%|█████▎    | 1889/3515 [07:50<05:42,  4.75it/s]
overall:  47%|████▋     | 1890/4000 [07:53<07:40,  4.58it/s]

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train:  54%|█████▍    | 1891/3515 [07:51<05:52,  4.60it/s]
overall:  47%|████▋     | 1892/4000 [07:53<07:48,  4.50it/s]

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overall:  47%|████▋     | 1893/4000 [07:54<07:43,  4.55it/s]

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overall:  47%|████▋     | 1894/4000 [07:54<07:34,  4.64it/s]

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overall:  47%|████▋     | 1895/4000 [07:54<07:10,  4.88it/s]

train:  54%|█████▍    | 1895/3515 [07:51<05:31,  4.88it/s]
overall:  47%|████▋     | 1897/4000 [07:54<06:13,  5.63it/s]

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overall:  47%|████▋     | 1898/4000 [07:54<06:34,  5.33it/s]

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overall:  47%|████▋     | 1899/4000 [07:55<06:41,  5.24it/s]

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overall:  48%|████▊     | 1900/4000 [07:55<07:47,  4.49it/s]

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overall:  48%|████▊     | 1901/4000 [07:55<07:26,  4.70it/s]

train:  54%|█████▍    | 1901/3515 [07:53<05:43,  4.70it/s]
overall:  48%|████▊     | 1902/4000 [07:55<06:29,  5.39it/s]

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overall:  48%|████▊     | 1903/4000 [07:56<07:32,  4.63it/s]

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overall:  48%|████▊     | 1904/4000 [07:56<07:24,  4.72it/s]

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overall:  48%|████▊     | 1905/4000 [07:56<06:17,  5.56it/s]

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overall:  48%|████▊     | 1906/4000 [07:56<06:35,  5.29it/s]

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overall:  48%|████▊     | 1907/4000 [07:56<06:21,  5.48it/s]

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overall:  48%|████▊     | 1908/4000 [07:56<06:44,  5.18it/s]

train:  54%|█████▍    | 1908/3515 [07:54<05:10,  5.18it/s]
overall:  48%|████▊     | 1909/4000 [07:57<06:48,  5.12it/s]

train:  54%|█████▍    | 1909/3515 [07:54<05:13,  5.12it/s]
overall:  48%|████▊     | 1910/4000 [07:57<07:03,  4.94it/s]

train:  54%|█████▍    | 1910/3515 [07:54<05:24,  4.94it/s]
overall:  48%|████▊     | 1911/4000 [07:57<06:13,  5.60it/s]

train:  54%|█████▍    | 1911/3515 [07:54<04:46,  5.60it/s]
overall:  48%|████▊     | 1913/4000 [07:57<05:49,  5.97it/s]

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overall:  48%|████▊     | 1914/4000 [07:58<06:35,  5.27it/s]

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overall:  48%|████▊     | 1915/4000 [07:58<06:47,  5.12it/s]

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overall:  48%|████▊     | 1916/4000 [07:58<06:33,  5.30it/s]

train:  55%|█████▍    | 1916/3515 [07:55<05:01,  5.30it/s]
overall:  48%|████▊     | 1917/4000 [07:58<06:51,  5.07it/s]

train:  55%|█████▍    | 1917/3515 [07:56<05:15,  5.07it/s]
overall:  48%|████▊     | 1918/4000 [07:58<06:44,  5.15it/s]

train:  55%|█████▍    | 1918/3515 [07:56<05:10,  5.15it/s]
overall:  48%|████▊     | 1919/4000 [07:59<06:52,  5.05it/s]

train:  55%|█████▍    | 1919/3515 [07:56<05:16,  5.05it/s]
overall:  48%|████▊     | 1920/4000 [07:59<06:58,  4.97it/s]

train:  55%|█████▍    | 1920/3515 [07:56<05:20,  4.97it/s]
overall:  48%|████▊     | 1921/4000 [07:59<07:09,  4.84it/s]

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overall:  48%|████▊     | 1922/4000 [07:59<07:18,  4.74it/s]

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overall:  48%|████▊     | 1923/4000 [07:59<07:10,  4.82it/s]

train:  55%|█████▍    | 1923/3515 [07:57<05:29,  4.82it/s]
overall:  48%|████▊     | 1924/4000 [08:00<08:01,  4.31it/s]

train:  55%|█████▍    | 1924/3515 [07:57<06:08,  4.31it/s]
overall:  48%|████▊     | 1925/4000 [08:00<07:15,  4.76it/s]

train:  55%|█████▍    | 1925/3515 [07:57<05:33,  4.76it/s]
overall:  48%|████▊     | 1926/4000 [08:00<07:07,  4.85it/s]

train:  55%|█████▍    | 1926/3515 [07:58<05:27,  4.85it/s]
overall:  48%|████▊     | 1927/4000 [08:00<07:46,  4.44it/s]

train:  55%|█████▍    | 1927/3515 [07:58<05:57,  4.44it/s]
overall:  48%|████▊     | 1929/4000 [08:01<06:26,  5.36it/s]

train:  55%|█████▍    | 1929/3515 [07:58<04:55,  5.36it/s]
overall:  48%|████▊     | 1930/4000 [08:01<06:44,  5.12it/s]

train:  55%|█████▍    | 1930/3515 [07:58<05:09,  5.12it/s]
overall:  48%|████▊     | 1931/4000 [08:01<07:28,  4.61it/s]

train:  55%|█████▍    | 1931/3515 [07:59<05:43,  4.61it/s]
overall:  48%|████▊     | 1932/4000 [08:01<07:33,  4.56it/s]

train:  55%|█████▍    | 1932/3515 [07:59<05:46,  4.56it/s]
overall:  48%|████▊     | 1933/4000 [08:02<07:31,  4.58it/s]

train:  55%|█████▍    | 1933/3515 [07:59<05:45,  4.58it/s]
overall:  48%|████▊     | 1934/4000 [08:02<07:31,  4.58it/s]

train:  55%|█████▌    | 1934/3515 [07:59<05:45,  4.58it/s]
overall:  48%|████▊     | 1935/4000 [08:02<07:25,  4.63it/s]

train:  55%|█████▌    | 1935/3515 [07:59<05:41,  4.63it/s]
overall:  48%|████▊     | 1937/4000 [08:02<06:18,  5.45it/s]

train:  55%|█████▌    | 1937/3515 [08:00<04:49,  5.45it/s]
overall:  48%|████▊     | 1938/4000 [08:03<07:10,  4.79it/s]

train:  55%|█████▌    | 1938/3515 [08:00<05:29,  4.79it/s]
overall:  48%|████▊     | 1939/4000 [08:03<07:12,  4.77it/s]

train:  55%|█████▌    | 1939/3515 [08:00<05:30,  4.77it/s]
overall:  48%|████▊     | 1940/4000 [08:03<07:25,  4.63it/s]

train:  55%|█████▌    | 1940/3515 [08:00<05:40,  4.62it/s]
overall:  49%|████▊     | 1941/4000 [08:03<07:07,  4.82it/s]

train:  55%|█████▌    | 1941/3515 [08:01<05:26,  4.82it/s]
overall:  49%|████▊     | 1942/4000 [08:03<07:08,  4.81it/s]

train:  55%|█████▌    | 1942/3515 [08:01<05:27,  4.81it/s]
overall:  49%|████▊     | 1943/4000 [08:04<07:06,  4.82it/s]

train:  55%|█████▌    | 1943/3515 [08:01<05:26,  4.82it/s]
overall:  49%|████▊     | 1945/4000 [08:04<06:11,  5.53it/s]

train:  55%|█████▌    | 1945/3515 [08:01<04:44,  5.53it/s]
overall:  49%|████▊     | 1946/4000 [08:04<06:25,  5.33it/s]

train:  55%|█████▌    | 1946/3515 [08:02<04:54,  5.33it/s]
overall:  49%|████▊     | 1948/4000 [08:04<06:20,  5.39it/s]

train:  55%|█████▌    | 1948/3515 [08:02<04:50,  5.39it/s]
overall:  49%|████▊     | 1949/4000 [08:05<06:34,  5.19it/s]

train:  55%|█████▌    | 1949/3515 [08:02<05:01,  5.19it/s]
overall:  49%|████▉     | 1950/4000 [08:05<06:44,  5.07it/s]

train:  55%|█████▌    | 1950/3515 [08:02<05:08,  5.07it/s]
overall:  49%|████▉     | 1951/4000 [08:05<07:32,  4.52it/s]

train:  56%|█████▌    | 1951/3515 [08:03<05:45,  4.52it/s]
overall:  49%|████▉     | 1952/4000 [08:05<07:27,  4.58it/s]

train:  56%|█████▌    | 1952/3515 [08:03<05:41,  4.58it/s]
overall:  49%|████▉     | 1953/4000 [08:06<07:21,  4.64it/s]

train:  56%|█████▌    | 1953/3515 [08:03<05:36,  4.64it/s]
overall:  49%|████▉     | 1954/4000 [08:06<07:25,  4.59it/s]

train:  56%|█████▌    | 1954/3515 [08:03<05:40,  4.59it/s]
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overall:  49%|████▉     | 1956/4000 [08:06<07:29,  4.55it/s]

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train:  56%|█████▌    | 1957/3515 [08:04<05:35,  4.64it/s]
overall:  49%|████▉     | 1958/4000 [08:07<07:16,  4.68it/s]

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overall:  49%|████▉     | 1959/4000 [08:07<07:11,  4.73it/s]

train:  56%|█████▌    | 1959/3515 [08:04<05:28,  4.73it/s]
overall:  49%|████▉     | 1960/4000 [08:07<07:10,  4.74it/s]

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overall:  49%|████▉     | 1961/4000 [08:07<07:09,  4.75it/s]

train:  56%|█████▌    | 1961/3515 [08:05<05:27,  4.75it/s]
overall:  49%|████▉     | 1962/4000 [08:08<08:02,  4.23it/s]

train:  56%|█████▌    | 1962/3515 [08:05<06:07,  4.23it/s]
overall:  49%|████▉     | 1963/4000 [08:08<07:47,  4.36it/s]

train:  56%|█████▌    | 1963/3515 [08:05<05:56,  4.36it/s]
overall:  49%|████▉     | 1964/4000 [08:08<07:40,  4.42it/s]

train:  56%|█████▌    | 1964/3515 [08:06<05:50,  4.42it/s]
overall:  49%|████▉     | 1965/4000 [08:08<07:33,  4.49it/s]

train:  56%|█████▌    | 1965/3515 [08:06<05:45,  4.49it/s]
overall:  49%|████▉     | 1966/4000 [08:08<07:14,  4.68it/s]

train:  56%|█████▌    | 1966/3515 [08:06<05:31,  4.68it/s]
overall:  49%|████▉     | 1967/4000 [08:09<06:50,  4.96it/s]

train:  56%|█████▌    | 1967/3515 [08:06<05:12,  4.96it/s]
overall:  49%|████▉     | 1968/4000 [08:09<06:29,  5.21it/s]

train:  56%|█████▌    | 1968/3515 [08:06<04:56,  5.21it/s]
overall:  49%|████▉     | 1969/4000 [08:09<06:48,  4.98it/s]

train:  56%|█████▌    | 1969/3515 [08:07<05:10,  4.98it/s]
overall:  49%|████▉     | 1970/4000 [08:09<06:52,  4.92it/s]

train:  56%|█████▌    | 1970/3515 [08:07<05:14,  4.92it/s]
overall:  49%|████▉     | 1971/4000 [08:09<06:57,  4.86it/s]

train:  56%|█████▌    | 1971/3515 [08:07<05:17,  4.86it/s]
overall:  49%|████▉     | 1972/4000 [08:10<07:41,  4.39it/s]

train:  56%|█████▌    | 1972/3515 [08:07<05:51,  4.39it/s]
overall:  49%|████▉     | 1973/4000 [08:10<07:27,  4.53it/s]

train:  56%|█████▌    | 1973/3515 [08:07<05:40,  4.53it/s]
overall:  49%|████▉     | 1974/4000 [08:10<07:17,  4.63it/s]

train:  56%|█████▌    | 1974/3515 [08:08<05:32,  4.63it/s]
overall:  49%|████▉     | 1975/4000 [08:10<07:59,  4.22it/s]

train:  56%|█████▌    | 1975/3515 [08:08<06:04,  4.22it/s]
overall:  49%|████▉     | 1976/4000 [08:11<07:38,  4.41it/s]

train:  56%|█████▌    | 1976/3515 [08:08<05:48,  4.41it/s]
overall:  49%|████▉     | 1977/4000 [08:11<07:32,  4.47it/s]

train:  56%|█████▌    | 1977/3515 [08:08<05:43,  4.47it/s]
overall:  49%|████▉     | 1978/4000 [08:11<07:11,  4.69it/s]

train:  56%|█████▋    | 1978/3515 [08:09<05:28,  4.69it/s]
overall:  49%|████▉     | 1979/4000 [08:11<07:04,  4.76it/s]

train:  56%|█████▋    | 1979/3515 [08:09<05:22,  4.76it/s]
overall:  50%|████▉     | 1980/4000 [08:11<07:15,  4.64it/s]

train:  56%|█████▋    | 1980/3515 [08:09<05:30,  4.64it/s]
overall:  50%|████▉     | 1981/4000 [08:12<06:26,  5.23it/s]

train:  56%|█████▋    | 1981/3515 [08:09<04:53,  5.23it/s]
overall:  50%|████▉     | 1982/4000 [08:12<06:27,  5.20it/s]

train:  56%|█████▋    | 1982/3515 [08:09<04:54,  5.20it/s]
overall:  50%|████▉     | 1984/4000 [08:12<05:45,  5.83it/s]

train:  56%|█████▋    | 1984/3515 [08:10<04:22,  5.83it/s]
overall:  50%|████▉     | 1985/4000 [08:12<06:01,  5.57it/s]

train:  56%|█████▋    | 1985/3515 [08:10<04:34,  5.57it/s]
overall:  50%|████▉     | 1986/4000 [08:12<06:00,  5.58it/s]

train:  57%|█████▋    | 1986/3515 [08:10<04:33,  5.58it/s]
overall:  50%|████▉     | 1987/4000 [08:13<06:11,  5.42it/s]

train:  57%|█████▋    | 1987/3515 [08:10<04:42,  5.42it/s]
overall:  50%|████▉     | 1988/4000 [08:13<06:46,  4.95it/s]

train:  57%|█████▋    | 1988/3515 [08:10<05:08,  4.95it/s]
overall:  50%|████▉     | 1989/4000 [08:13<06:54,  4.85it/s]

train:  57%|█████▋    | 1989/3515 [08:11<05:14,  4.85it/s]
overall:  50%|████▉     | 1990/4000 [08:13<07:01,  4.77it/s]

train:  57%|█████▋    | 1990/3515 [08:11<05:19,  4.77it/s]
overall:  50%|████▉     | 1991/4000 [08:14<07:01,  4.76it/s]

train:  57%|█████▋    | 1991/3515 [08:11<05:19,  4.76it/s]
overall:  50%|████▉     | 1992/4000 [08:14<06:03,  5.53it/s]

train:  57%|█████▋    | 1992/3515 [08:11<04:35,  5.53it/s]
overall:  50%|████▉     | 1993/4000 [08:14<06:24,  5.23it/s]

train:  57%|█████▋    | 1993/3515 [08:11<04:51,  5.23it/s]
overall:  50%|████▉     | 1994/4000 [08:14<06:32,  5.12it/s]

train:  57%|█████▋    | 1994/3515 [08:12<04:57,  5.12it/s]
overall:  50%|████▉     | 1995/4000 [08:14<06:37,  5.05it/s]

train:  57%|█████▋    | 1995/3515 [08:12<05:01,  5.05it/s]
overall:  50%|████▉     | 1996/4000 [08:15<07:19,  4.56it/s]

train:  57%|█████▋    | 1996/3515 [08:12<05:33,  4.56it/s]
overall:  50%|████▉     | 1997/4000 [08:15<07:20,  4.55it/s]

train:  57%|█████▋    | 1997/3515 [08:12<05:33,  4.55it/s]
overall:  50%|████▉     | 1998/4000 [08:15<07:08,  4.68it/s]

train:  57%|█████▋    | 1998/3515 [08:12<05:24,  4.68it/s]
overall:  50%|████▉     | 1999/4000 [08:15<07:34,  4.40it/s]

train:  57%|█████▋    | 1999/3515 [08:13<05:44,  4.40it/s]dev loss: 3.427037477493286
dev per: 0.8147710718002081
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1439831256866455
train per: 0.782100184403971
train loss: 3.2615859508514404
train per: 0.7955688246385921
train loss: 3.14984393119812
train per: 0.7795458690497903
train loss: 3.178541898727417
train per: 0.785634650760912
train loss: 3.22656512260437
train per: 0.7867820069204152
train loss: 3.1382572650909424
train per: 0.7787848978827057
train loss: 3.158442258834839
train per: 0.7923555325213786
train loss: 3.1281027793884277
train per: 0.7878886823730347
train loss: 3.14936900138855
train per: 0.7823506982507984
train loss: 3.1639959812164307
train per: 0.7862396327786761
train loss: 3.1396567821502686
train per: 0.7788131097631293
train loss: 3.119706630706787
train per: 0.7819429013091155
train loss: 3.185377359390259
train per: 0.7846621108580106
train loss: 3.141368865966797
train per: 0.7883100310696849
train loss: 3.1715734004974365
train per: 0.7825742288844048
train loss: 3.164057731628418
train per: 0.7821312034286271
train loss: 3.1412150859832764
train per: 0.7812990558525765
train loss: 3.143216133117676
train per: 0.7907158617992905
train loss: 3.141251802444458
train per: 0.789565127194461
train loss: 3.1414706707000732
train per: 0.7820131442407472
train loss: 3.120377779006958
train per: 0.7846225558744878
train loss: 3.146007537841797
train per: 0.7907925265600195
train loss: 3.135079860687256
train per: 0.7885313203549199
train loss: 3.185293197631836
train per: 0.7790708721261638
train loss: 3.2241477966308594
train per: 0.7960205048468211
train loss: 3.1362602710723877
train per: 0.7874339535952217
train loss: 3.277052640914917
train per: 0.7861659011078087
train loss: 3.1906685829162598
train per: 0.7905595646516029
train loss: 3.1933376789093018
train per: 0.7832409810385541
train loss: 3.139664888381958
train per: 0.7841331593332185
train loss: 3.1838409900665283
train per: 0.7869180454020778
train loss: 3.2242093086242676
train per: 0.7880158556455339
train loss: 3.1691060066223145
train per: 0.7875
train loss: 3.211068630218506
train per: 0.7895369045185033
train loss: 3.158173084259033
train per: 0.7833264946537617
train loss: 3.639540910720825
train per: 0.7996440529697445
train loss: 3.9272537231445312
train per: 0.8169197281800807
train loss: 3.8672122955322266
train per: 0.8236345137355138
train loss: 3.746943235397339
train per: 0.8135311734277157
train loss: 3.4888484477996826
train per: 0.7942318358291736
train loss: 3.1846938133239746
train per: 0.7838196286472149
train loss: 3.2231125831604004
train per: 0.782569562310343
train loss: 3.381187915802002
train per: 0.7894841665006971
train loss: 3.162062644958496
train per: 0.7840084643288996
train loss: 3.139543056488037
train per: 0.7832718155860436
train loss: 3.1464171409606934
train per: 0.7825109106000161
train loss: 3.1550233364105225
train per: 0.7853145121347201
train loss: 3.151325225830078
train per: 0.7818337736986047
train loss: 3.1078550815582275
train per: 0.7822792049949955
train loss: 3.118086576461792
train per: 0.786179353745613
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 291/2703 [00:00<00:00, 2906.39it/s]


word -> phonemes:  22%|██▏       | 582/2703 [00:00<00:00, 2841.12it/s]


word -> phonemes:  32%|███▏      | 867/2703 [00:00<00:00, 2821.71it/s]


word -> phonemes:  43%|████▎     | 1166/2703 [00:00<00:00, 2883.33it/s]


word -> phonemes:  54%|█████▍    | 1471/2703 [00:00<00:00, 1518.93it/s]


word -> phonemes:  65%|██████▍   | 1756/2703 [00:00<00:00, 1795.56it/s]


word -> phonemes:  75%|███████▌  | 2036/2703 [00:00<00:00, 2024.51it/s]


word -> phonemes:  86%|████████▌ | 2315/2703 [00:01<00:00, 2207.80it/s]


word -> phonemes:  95%|█████████▌| 2581/2703 [00:01<00:00, 2323.35it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2215.29it/s]



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train:  85%|████████▌ | 2997/3515 [12:53<01:53,  4.56it/s]
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train:  85%|████████▌ | 2999/3515 [12:54<01:49,  4.73it/s]dev loss: 3.4369924068450928
dev per: 0.8127055150884496
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.227928876876831
train per: 0.7909857031313104
train loss: 3.1546502113342285
train per: 0.7863751514483974
train loss: 3.109833240509033
train per: 0.7859923125577775
train loss: 3.097085475921631
train per: 0.7834324273310683
train loss: 3.1209716796875
train per: 0.7844741568549192
train loss: 3.106752395629883
train per: 0.784516188247172
train loss: 3.112114906311035
train per: 0.7832969816365299
train loss: 3.144061803817749
train per: 0.7840621266427718
train loss: 3.0887632369995117
train per: 0.7827970598257314
train loss: 3.108471155166626
train per: 0.7844915839344808
train loss: 3.100517988204956
train per: 0.7839891094326366
train loss: 3.128413438796997
train per: 0.7900265143789517
train loss: 3.291883945465088
train per: 0.7867568434559452
train loss: 3.156688690185547
train per: 0.7815115855877715
train loss: 3.1467649936676025
train per: 0.792482269503546
train loss: 3.26025390625
train per: 0.7842350338298475
train loss: 3.1405134201049805
train per: 0.7859693583688515
train loss: 3.3261032104492188
train per: 0.7845087710325781
train loss: 3.108424425125122
train per: 0.783446307527649
train loss: 3.150052309036255
train per: 0.7814135788143679
train loss: 3.1862754821777344
train per: 0.7847966309504771
train loss: 3.167449474334717
train per: 0.7836091856462489
train loss: 3.1951675415039062
train per: 0.7825093853181962
train loss: 3.124049425125122
train per: 0.7816011563388819
train loss: 3.2058558464050293
train per: 0.7842517152658662
train loss: 3.0966155529022217
train per: 0.7827154022112085
train loss: 3.08000111579895
train per: 0.7822350246735769
train loss: 3.135286808013916
train per: 0.78576910163557
train loss: 3.1362078189849854
train per: 0.7840858403132279
train loss: 3.129573106765747
train per: 0.7824079339444533
train loss: 3.1711840629577637
train per: 0.7905164737310775
train loss: 3.295916795730591
train per: 0.7860886628282254
train loss: 3.190190076828003
train per: 0.7918200885574458
train loss: 3.1440982818603516
train per: 0.7874382816611946
train loss: 3.1524159908294678
train per: 0.7859497645211931
train loss: 3.2610983848571777
train per: 0.7908785087961175
train loss: 3.222353458404541
train per: 0.7824435951177413
train loss: 3.1132919788360596
train per: 0.7850677660885225
train loss: 3.1332995891571045
train per: 0.7812367416207043
train loss: 3.129401683807373
train per: 0.7817572468299027
train loss: 3.24739408493042
train per: 0.7828767463829364
train loss: 4.111037254333496
train per: 0.8155726953145496
train loss: 4.191883087158203
train per: 0.8262611157102038
train loss: 3.562899351119995
train per: 0.7977164475033616
train loss: 3.2748920917510986
train per: 0.7902582949428024
train loss: 3.303165912628174
train per: 0.7873765779277591
train loss: 3.2208411693573
train per: 0.7940286463586846
train loss: 3.1769096851348877
train per: 0.7832582565588428
train loss: 3.1879684925079346
train per: 0.7868016460074222
train loss: 3.2483131885528564
train per: 0.7907584574415623
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 286/2703 [00:00<00:00, 2858.63it/s]


word -> phonemes:  21%|██        | 572/2703 [00:00<00:00, 2639.85it/s]


word -> phonemes:  31%|███▏      | 851/2703 [00:00<00:00, 2703.47it/s]


word -> phonemes:  42%|████▏     | 1127/2703 [00:00<00:00, 2722.64it/s]


word -> phonemes:  52%|█████▏    | 1406/2703 [00:00<00:00, 2746.39it/s]


word -> phonemes:  63%|██████▎   | 1699/2703 [00:00<00:00, 2805.63it/s]


word -> phonemes:  73%|███████▎  | 1980/2703 [00:00<00:00, 2783.65it/s]


word -> phonemes:  84%|████████▎ | 2259/2703 [00:00<00:00, 2771.12it/s]


word -> phonemes:  94%|█████████▍| 2537/2703 [00:00<00:00, 2687.85it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2741.52it/s]



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overall:  88%|████████▊ | 3515/4000 [16:00<01:32,  5.25it/s]

train: 100%|██████████| 3515/3515 [15:57<00:00,  5.25it/s]403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!

train: 100%|██████████| 3515/3515 [15:58<00:00,  3.67it/s]
dev loss: 3.572063684463501
dev per: 0.7956659729448491
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1012163162231445
train per: 0.7839028664413569
train loss: 3.1224637031555176
train per: 0.7871841056710879
train loss: 3.093822956085205
train per: 0.7828076323987538
train loss: 3.087841033935547
train per: 0.7822218861837794
train loss: 3.1533405780792236
train per: 0.78320354107984
train loss: 3.127932071685791
train per: 0.7852899360211232
train loss: 3.1038289070129395
train per: 0.786782853976729
train loss: 3.134223461151123
train per: 0.7847313945390361
train loss: 3.1549696922302246
train per: 0.7848517292034958
train loss: 3.1107699871063232
train per: 0.7823926584565641
train loss: 3.3641815185546875
train per: 0.7879537273651527
train loss: 3.539527177810669
train per: 0.7961885467951285
train loss: 3.3252346515655518
train per: 0.7906654925147817
train loss: 4.73581600189209
train per: 0.8409648119177154
train loss: 4.135605812072754
train per: 0.8222941811402218
train loss: 3.520214557647705
train per: 0.7964258849809669
train loss: 3.3088104724884033
train per: 0.7847107816218195
train loss: 3.326190948486328
train per: 0.7875431982406534
train loss: 3.356480121612549
train per: 0.7847427245887811
train loss: 3.3310494422912598
train per: 0.7862033364125415
train loss: 3.257120132446289
train per: 0.787404391129698
train loss: 3.1978001594543457
train per: 0.7869239347493452
train loss: 3.2585339546203613
train per: 0.7867529428619183
train loss: 3.1754415035247803
train per: 0.785827395091053
train loss: 3.2323734760284424
train per: 0.7844776683436075
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 242/3515 [00:00<00:01, 2418.38it/s]

word -> phonemes:  14%|█▍        | 484/3515 [00:00<00:01, 2218.54it/s]

word -> phonemes:  20%|██        | 714/3515 [00:00<00:01, 2252.91it/s]

word -> phonemes:  27%|██▋       | 941/3515 [00:00<00:01, 2259.27it/s]

word -> phonemes:  34%|███▍      | 1188/3515 [00:00<00:00, 2331.97it/s]

word -> phonemes:  41%|████      | 1440/3515 [00:00<00:00, 2393.47it/s]

word -> phonemes:  48%|████▊     | 1682/3515 [00:00<00:00, 2400.53it/s]

word -> phonemes:  55%|█████▍    | 1926/3515 [00:00<00:00, 2412.99it/s]

word -> phonemes:  62%|██████▏   | 2178/3515 [00:00<00:00, 2443.88it/s]

word -> phonemes:  69%|██████▉   | 2423/3515 [00:01<00:00, 2445.12it/s]

word -> phonemes:  76%|███████▌  | 2668/3515 [00:01<00:00, 2436.08it/s]

word -> phonemes:  83%|████████▎ | 2932/3515 [00:01<00:00, 2492.53it/s]

word -> phonemes:  91%|█████████ | 3182/3515 [00:01<00:00, 2482.42it/s]

word -> phonemes:  98%|█████████▊| 3438/3515 [00:01<00:00, 2505.44it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2416.43it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [16:04<11:30,  1.43s/it]

train:   0%|          | 1/3515 [00:01<1:33:20,  1.59s/it]
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train:   0%|          | 2/3515 [00:01<42:05,  1.39it/s]  
overall:  88%|████████▊ | 3518/4000 [16:04<06:17,  1.28it/s]

train:   0%|          | 3/3515 [00:01<28:19,  2.07it/s]
overall:  88%|████████▊ | 3519/4000 [16:05<04:54,  1.63it/s]

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overall:  88%|████████▊ | 3520/4000 [16:05<03:52,  2.07it/s]

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overall:  88%|████████▊ | 3521/4000 [16:05<03:06,  2.57it/s]

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overall:  88%|████████▊ | 3523/4000 [16:05<02:21,  3.38it/s]

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overall:  88%|████████▊ | 3524/4000 [16:06<02:13,  3.58it/s]

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overall:  88%|████████▊ | 3525/4000 [16:06<01:58,  4.02it/s]

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overall:  88%|████████▊ | 3527/4000 [16:06<01:37,  4.86it/s]

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overall:  88%|████████▊ | 3528/4000 [16:06<01:41,  4.64it/s]

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overall:  88%|████████▊ | 3529/4000 [16:07<01:42,  4.61it/s]

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overall:  88%|████████▊ | 3530/4000 [16:07<01:37,  4.82it/s]

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overall:  88%|████████▊ | 3531/4000 [16:07<01:35,  4.89it/s]

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overall:  88%|████████▊ | 3532/4000 [16:07<01:35,  4.88it/s]

train:   0%|          | 17/3515 [00:04<11:39,  5.00it/s]
overall:  88%|████████▊ | 3533/4000 [16:07<01:30,  5.16it/s]

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overall:  88%|████████▊ | 3534/4000 [16:08<01:32,  5.03it/s]

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overall:  88%|████████▊ | 3535/4000 [16:08<01:40,  4.64it/s]

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overall:  88%|████████▊ | 3536/4000 [16:08<01:38,  4.71it/s]

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overall:  88%|████████▊ | 3538/4000 [16:08<01:22,  5.57it/s]

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overall:  88%|████████▊ | 3539/4000 [16:08<01:25,  5.40it/s]

train:   1%|          | 24/3515 [00:05<10:44,  5.42it/s]
overall:  88%|████████▊ | 3540/4000 [16:09<01:40,  4.56it/s]

train:   1%|          | 25/3515 [00:06<12:44,  4.56it/s]
overall:  89%|████████▊ | 3541/4000 [16:09<01:39,  4.63it/s]

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overall:  89%|████████▊ | 3542/4000 [16:09<01:37,  4.68it/s]

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overall:  89%|████████▊ | 3544/4000 [16:09<01:23,  5.46it/s]

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overall:  89%|████████▊ | 3546/4000 [16:10<01:17,  5.88it/s]

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overall:  89%|████████▊ | 3547/4000 [16:10<01:26,  5.24it/s]

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overall:  89%|████████▊ | 3548/4000 [16:10<01:27,  5.18it/s]

train:   1%|          | 33/3515 [00:07<11:12,  5.18it/s]
overall:  89%|████████▊ | 3549/4000 [16:10<01:27,  5.13it/s]

train:   1%|          | 34/3515 [00:07<11:18,  5.13it/s]
overall:  89%|████████▉ | 3550/4000 [16:11<01:25,  5.28it/s]

train:   1%|          | 35/3515 [00:08<10:59,  5.28it/s]
overall:  89%|████████▉ | 3551/4000 [16:11<01:27,  5.14it/s]

train:   1%|          | 36/3515 [00:08<11:16,  5.14it/s]
overall:  89%|████████▉ | 3552/4000 [16:11<01:42,  4.35it/s]

train:   1%|          | 37/3515 [00:08<13:19,  4.35it/s]
overall:  89%|████████▉ | 3553/4000 [16:11<01:39,  4.48it/s]

train:   1%|          | 38/3515 [00:08<12:55,  4.48it/s]
overall:  89%|████████▉ | 3554/4000 [16:12<01:37,  4.58it/s]

train:   1%|          | 39/3515 [00:09<12:39,  4.58it/s]
overall:  89%|████████▉ | 3556/4000 [16:12<01:21,  5.47it/s]

train:   1%|          | 41/3515 [00:09<10:35,  5.47it/s]
overall:  89%|████████▉ | 3557/4000 [16:12<01:22,  5.37it/s]

train:   1%|          | 42/3515 [00:09<10:46,  5.37it/s]
overall:  89%|████████▉ | 3558/4000 [16:12<01:23,  5.26it/s]

train:   1%|          | 43/3515 [00:09<10:59,  5.26it/s]
overall:  89%|████████▉ | 3559/4000 [16:12<01:19,  5.57it/s]

train:   1%|▏         | 44/3515 [00:09<10:22,  5.57it/s]
overall:  89%|████████▉ | 3560/4000 [16:13<01:23,  5.27it/s]

train:   1%|▏         | 45/3515 [00:10<10:58,  5.27it/s]
overall:  89%|████████▉ | 3561/4000 [16:13<01:25,  5.12it/s]

train:   1%|▏         | 46/3515 [00:10<11:16,  5.12it/s]
overall:  89%|████████▉ | 3562/4000 [16:13<01:27,  5.03it/s]

train:   1%|▏         | 47/3515 [00:10<11:28,  5.03it/s]
overall:  89%|████████▉ | 3563/4000 [16:13<01:16,  5.70it/s]

train:   1%|▏         | 48/3515 [00:10<10:08,  5.70it/s]
overall:  89%|████████▉ | 3564/4000 [16:13<01:37,  4.49it/s]

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overall:  89%|████████▉ | 3565/4000 [16:14<01:22,  5.29it/s]

train:   1%|▏         | 50/3515 [00:11<10:54,  5.29it/s]
overall:  89%|████████▉ | 3566/4000 [16:14<01:23,  5.18it/s]

train:   1%|▏         | 51/3515 [00:11<11:09,  5.18it/s]
overall:  89%|████████▉ | 3567/4000 [16:14<01:22,  5.26it/s]

train:   1%|▏         | 52/3515 [00:11<10:58,  5.26it/s]
overall:  89%|████████▉ | 3569/4000 [16:14<01:12,  5.97it/s]

train:   2%|▏         | 54/3515 [00:11<09:39,  5.97it/s]
overall:  89%|████████▉ | 3570/4000 [16:14<01:14,  5.76it/s]

train:   2%|▏         | 55/3515 [00:11<10:00,  5.76it/s]
overall:  89%|████████▉ | 3571/4000 [16:15<01:24,  5.09it/s]

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overall:  89%|████████▉ | 3572/4000 [16:15<01:26,  4.96it/s]

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overall:  89%|████████▉ | 3573/4000 [16:15<01:26,  4.96it/s]

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overall:  89%|████████▉ | 3574/4000 [16:15<01:26,  4.94it/s]

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overall:  91%|█████████ | 3631/4000 [16:27<01:12,  5.06it/s]

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overall:  91%|█████████ | 3638/4000 [16:28<01:20,  4.51it/s]

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overall:  91%|█████████ | 3639/4000 [16:29<01:18,  4.59it/s]

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overall:  91%|█████████ | 3640/4000 [16:29<01:17,  4.66it/s]

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overall:  91%|█████████ | 3641/4000 [16:29<01:16,  4.72it/s]

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overall:  91%|█████████ | 3642/4000 [16:29<01:15,  4.77it/s]

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overall:  99%|█████████▊| 3945/4000 [17:30<00:11,  4.81it/s]

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overall:  99%|█████████▉| 3970/4000 [17:35<00:06,  4.87it/s]

train:  13%|█▎        | 455/3515 [01:32<10:28,  4.87it/s]
overall:  99%|█████████▉| 3971/4000 [17:35<00:06,  4.78it/s]

train:  13%|█▎        | 456/3515 [01:32<10:39,  4.78it/s]
overall:  99%|█████████▉| 3972/4000 [17:36<00:06,  4.16it/s]

train:  13%|█▎        | 457/3515 [01:33<12:15,  4.16it/s]
overall:  99%|█████████▉| 3973/4000 [17:36<00:05,  5.00it/s]

train:  13%|█▎        | 458/3515 [01:33<10:11,  5.00it/s]
overall:  99%|█████████▉| 3974/4000 [17:36<00:05,  4.97it/s]

train:  13%|█▎        | 459/3515 [01:33<10:14,  4.97it/s]
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train:  13%|█▎        | 461/3515 [01:33<10:21,  4.91it/s]
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train:  13%|█▎        | 463/3515 [01:34<09:07,  5.57it/s]
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train:  13%|█▎        | 464/3515 [01:34<10:00,  5.08it/s]
overall: 100%|█████████▉| 3980/4000 [17:37<00:04,  4.94it/s]

train:  13%|█▎        | 465/3515 [01:34<10:17,  4.94it/s]
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train:  13%|█▎        | 466/3515 [01:34<10:25,  4.87it/s]
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overall: 100%|█████████▉| 3996/4000 [17:40<00:00,  5.52it/s]

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overall: 100%|█████████▉| 3997/4000 [17:40<00:00,  5.43it/s]

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overall: 100%|█████████▉| 3998/4000 [17:41<00:00,  5.26it/s]

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overall: 100%|█████████▉| 3999/4000 [17:41<00:00,  5.33it/s]

train:  14%|█▍        | 484/3515 [01:38<09:29,  5.33it/s]train loss: 3.1452269554138184
train per: 0.7845604618189184
train loss: 3.5485501289367676
train per: 0.8065286392358988
train loss: 3.593231201171875
train per: 0.7976223811826999
train loss: 3.256619930267334
train per: 0.7907328605200946
train loss: 3.2420170307159424
train per: 0.7898673834216599
train loss: 3.186795473098755
train per: 0.7844348516423538
train loss: 3.14086651802063
train per: 0.7844635685599541
train loss: 3.172257661819458
train per: 0.7801827556281586
train loss: 3.338563919067383
train per: 0.7939678011004687
train loss: 3.259697675704956
train per: 0.7896897103619185
train loss: 3.137895345687866
train per: 0.7860805288774368
train loss: 3.125063419342041
train per: 0.776483712628291
train loss: 3.128483772277832
train per: 0.7851543793320731
train loss: 3.199643611907959
train per: 0.7902842674045264
train loss: 3.201077938079834
train per: 0.7916077443241715
train loss: 3.157855987548828
train per: 0.7856653210450149
train loss: 3.1750545501708984
train per: 0.7846904093394415
train loss: 3.172051429748535
train per: 0.7852593050339878
train loss: 3.1071746349334717
train per: 0.7863028568609068
train loss: 3.0852551460266113
train per: 0.7814931650893796
train loss: 3.240140199661255
train per: 0.7896062271062271
train loss: 3.087890148162842
train per: 0.7791308184425325
train loss: 3.125272274017334
train per: 0.7870165153356689
train loss: 3.115510940551758
train per: 0.7844290993970044
train loss: 3.1344876289367676
train per: 0.7861495021548521
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 278/2703 [00:00<00:00, 2779.09it/s]


word -> phonemes:  21%|██        | 556/2703 [00:00<00:00, 2690.82it/s]


word -> phonemes:  31%|███       | 826/2703 [00:00<00:00, 2685.08it/s]


word -> phonemes:  41%|████      | 1110/2703 [00:00<00:00, 2744.73it/s]


word -> phonemes:  51%|█████▏    | 1387/2703 [00:00<00:00, 2752.06it/s]


word -> phonemes:  62%|██████▏   | 1665/2703 [00:00<00:00, 2755.56it/s]


word -> phonemes:  72%|███████▏  | 1954/2703 [00:00<00:00, 2797.39it/s]


word -> phonemes:  83%|████████▎ | 2234/2703 [00:00<00:00, 2795.32it/s]


word -> phonemes:  93%|█████████▎| 2514/2703 [00:00<00:00, 2707.40it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2700.82it/s]



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


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overall: 100%|█████████▉| 3999/4000 [19:04<00:00,  5.33it/s]

train:  14%|█▍        | 484/3515 [03:01<09:29,  5.33it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [19:04<00:00,  5.33it/s]

train:  14%|█▍        | 484/3515 [03:01<09:29,  5.33it/s]
overall: 100%|██████████| 4000/4000 [19:04<00:00, 22.60s/it]

train:  14%|█▍        | 485/3515 [03:01<19:01:27, 22.60s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:01<18:54,  2.67it/s]   

overall: 100%|██████████| 4000/4000 [19:04<00:00,  3.49it/s]
dev loss: 3.46852445602417
dev per: 0.7984391259105099
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt