/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 20:14:56 | 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 {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_test_8x_400k_4196_encode
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:   7%|▋         | 245/3515 [00:00<00:01, 2443.91it/s]

word -> phonemes:  14%|█▍        | 490/3515 [00:00<00:01, 2318.72it/s]

word -> phonemes:  22%|██▏       | 758/3515 [00:00<00:01, 2478.33it/s]

word -> phonemes:  29%|██▊       | 1007/3515 [00:00<00:01, 2322.16it/s]

word -> phonemes:  37%|███▋      | 1317/3515 [00:00<00:00, 2586.07it/s]

word -> phonemes:  47%|████▋     | 1640/3515 [00:00<00:00, 2795.41it/s]

word -> phonemes:  56%|█████▌    | 1955/3515 [00:00<00:00, 2906.08it/s]

word -> phonemes:  65%|██████▍   | 2282/3515 [00:00<00:00, 3018.34it/s]

word -> phonemes:  74%|███████▎  | 2586/3515 [00:00<00:00, 2990.77it/s]

word -> phonemes:  82%|████████▏ | 2887/3515 [00:01<00:00, 2632.24it/s]

word -> phonemes:  91%|█████████ | 3191/3515 [00:01<00:00, 2744.35it/s]

word -> phonemes:  99%|█████████▉| 3488/3515 [00:01<00:00, 2807.14it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2731.24it/s]


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train:   5%|▍         | 159/3515 [00:33<11:04,  5.05it/s]
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train:   5%|▍         | 160/3515 [00:33<11:12,  4.99it/s]
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train:   5%|▍         | 162/3515 [00:34<11:11,  4.99it/s]
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train:   5%|▌         | 177/3515 [00:37<13:11,  4.22it/s]
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train:   5%|▌         | 178/3515 [00:37<12:48,  4.34it/s]
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train:   5%|▌         | 181/3515 [00:38<11:50,  4.70it/s]
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train:   5%|▌         | 183/3515 [00:38<11:39,  4.77it/s]
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train:   5%|▌         | 184/3515 [00:38<10:16,  5.40it/s]
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train:   5%|▌         | 185/3515 [00:38<10:23,  5.34it/s]
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train:   5%|▌         | 186/3515 [00:39<10:49,  5.13it/s]
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train:   5%|▌         | 187/3515 [00:39<10:51,  5.11it/s]
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train:   5%|▌         | 188/3515 [00:39<10:45,  5.15it/s]
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train:   5%|▌         | 189/3515 [00:39<10:59,  5.04it/s]
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train:   5%|▌         | 191/3515 [00:40<11:05,  4.99it/s]
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train:   5%|▌         | 192/3515 [00:40<11:12,  4.94it/s]
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overall:  13%|█▎        | 508/4000 [01:49<11:16,  5.16it/s]

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overall:  13%|█▎        | 510/4000 [01:49<11:36,  5.01it/s]

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overall:  13%|█▎        | 513/4000 [01:50<13:43,  4.24it/s]

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overall:  13%|█▎        | 515/4000 [01:51<12:56,  4.49it/s]

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overall:  13%|█▎        | 518/4000 [01:51<11:35,  5.00it/s]

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overall:  13%|█▎        | 521/4000 [01:52<12:03,  4.81it/s]

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overall:  13%|█▎        | 522/4000 [01:52<12:04,  4.80it/s]

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overall:  13%|█▎        | 525/4000 [01:53<11:41,  4.95it/s]

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overall:  13%|█▎        | 526/4000 [01:53<12:08,  4.77it/s]

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overall:  13%|█▎        | 527/4000 [01:53<11:49,  4.89it/s]

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overall:  13%|█▎        | 530/4000 [01:54<14:08,  4.09it/s]

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overall:  13%|█▎        | 531/4000 [01:54<13:22,  4.32it/s]

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overall:  13%|█▎        | 532/4000 [01:54<13:02,  4.43it/s]

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overall:  13%|█▎        | 533/4000 [01:54<12:52,  4.49it/s]

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overall:  13%|█▎        | 534/4000 [01:55<11:10,  5.17it/s]

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overall:  13%|█▎        | 535/4000 [01:55<12:11,  4.74it/s]

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overall:  13%|█▎        | 536/4000 [01:55<13:23,  4.31it/s]

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overall:  13%|█▎        | 537/4000 [01:55<12:53,  4.48it/s]

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overall:  13%|█▎        | 538/4000 [01:55<11:24,  5.06it/s]

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overall:  13%|█▎        | 539/4000 [01:56<11:48,  4.88it/s]

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overall:  14%|█▎        | 540/4000 [01:56<11:45,  4.90it/s]

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overall:  14%|█▎        | 541/4000 [01:56<11:43,  4.91it/s]

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overall:  14%|█▎        | 542/4000 [01:56<11:55,  4.83it/s]

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overall:  14%|█▎        | 543/4000 [01:57<11:45,  4.90it/s]

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overall:  14%|█▎        | 544/4000 [01:57<11:50,  4.87it/s]

train:  15%|█▌        | 544/3515 [01:54<10:10,  4.87it/s]
overall:  14%|█▎        | 545/4000 [01:57<11:53,  4.84it/s]

train:  16%|█▌        | 545/3515 [01:54<10:13,  4.84it/s]
overall:  14%|█▎        | 546/4000 [01:57<11:58,  4.81it/s]

train:  16%|█▌        | 546/3515 [01:55<10:17,  4.81it/s]
overall:  14%|█▎        | 547/4000 [01:57<11:39,  4.94it/s]

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overall:  14%|█▎        | 548/4000 [01:58<11:34,  4.97it/s]

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overall:  14%|█▎        | 549/4000 [01:58<11:38,  4.94it/s]

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overall:  14%|█▍        | 550/4000 [01:58<11:45,  4.89it/s]

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overall:  14%|█▍        | 551/4000 [01:58<12:13,  4.70it/s]

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overall:  14%|█▍        | 552/4000 [01:58<12:13,  4.70it/s]

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overall:  14%|█▍        | 553/4000 [01:59<12:44,  4.51it/s]

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overall:  14%|█▍        | 554/4000 [01:59<14:27,  3.97it/s]

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overall:  14%|█▍        | 555/4000 [01:59<13:52,  4.14it/s]

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overall:  14%|█▍        | 556/4000 [01:59<13:25,  4.28it/s]

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overall:  14%|█▍        | 557/4000 [02:00<12:29,  4.59it/s]

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overall:  14%|█▍        | 558/4000 [02:00<12:20,  4.65it/s]

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overall:  14%|█▍        | 559/4000 [02:00<12:44,  4.50it/s]

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overall:  14%|█▍        | 560/4000 [02:00<14:30,  3.95it/s]

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overall:  14%|█▍        | 561/4000 [02:01<13:56,  4.11it/s]

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overall:  14%|█▍        | 562/4000 [02:01<13:16,  4.31it/s]

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overall:  14%|█▍        | 563/4000 [02:01<12:52,  4.45it/s]

train:  16%|█▌        | 563/3515 [01:58<11:03,  4.45it/s]
overall:  14%|█▍        | 564/4000 [02:01<12:23,  4.62it/s]

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overall:  14%|█▍        | 565/4000 [02:01<12:10,  4.71it/s]

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overall:  14%|█▍        | 566/4000 [02:02<12:08,  4.71it/s]

train:  16%|█▌        | 566/3515 [01:59<10:25,  4.71it/s]
overall:  14%|█▍        | 567/4000 [02:02<10:42,  5.35it/s]

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overall:  14%|█▍        | 568/4000 [02:02<11:12,  5.11it/s]

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overall:  14%|█▍        | 569/4000 [02:02<11:22,  5.03it/s]

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overall:  14%|█▍        | 571/4000 [02:02<09:02,  6.32it/s]

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overall:  14%|█▍        | 572/4000 [02:03<09:44,  5.86it/s]

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overall:  14%|█▍        | 573/4000 [02:03<10:03,  5.68it/s]

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overall:  14%|█▍        | 574/4000 [02:03<10:46,  5.30it/s]

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overall:  14%|█▍        | 575/4000 [02:03<09:57,  5.73it/s]

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overall:  14%|█▍        | 576/4000 [02:03<10:33,  5.40it/s]

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overall:  15%|█▍        | 581/4000 [02:04<11:52,  4.80it/s]

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train:  28%|██▊       | 990/3515 [03:27<08:47,  4.79it/s]
overall:  25%|██▍       | 991/4000 [03:30<11:10,  4.49it/s]

train:  28%|██▊       | 991/3515 [03:27<09:22,  4.49it/s]
overall:  25%|██▍       | 992/4000 [03:30<12:54,  3.89it/s]

train:  28%|██▊       | 992/3515 [03:27<10:49,  3.89it/s]
overall:  25%|██▍       | 993/4000 [03:30<12:08,  4.13it/s]

train:  28%|██▊       | 993/3515 [03:28<10:10,  4.13it/s]
overall:  25%|██▍       | 994/4000 [03:30<11:53,  4.21it/s]

train:  28%|██▊       | 994/3515 [03:28<09:58,  4.21it/s]
overall:  25%|██▍       | 995/4000 [03:31<11:29,  4.36it/s]

train:  28%|██▊       | 995/3515 [03:28<09:38,  4.36it/s]
overall:  25%|██▍       | 996/4000 [03:31<10:33,  4.74it/s]

train:  28%|██▊       | 996/3515 [03:28<08:51,  4.74it/s]
overall:  25%|██▍       | 997/4000 [03:31<10:32,  4.75it/s]

train:  28%|██▊       | 997/3515 [03:28<08:50,  4.75it/s]
overall:  25%|██▍       | 998/4000 [03:31<10:30,  4.76it/s]

train:  28%|██▊       | 998/3515 [03:29<08:48,  4.76it/s]
overall:  25%|██▍       | 999/4000 [03:31<10:10,  4.92it/s]

train:  28%|██▊       | 999/3515 [03:29<08:31,  4.92it/s]train loss: 4.084686279296875
train per: 0.9788915378639736
train loss: 3.4705376625061035
train per: 0.8569601800465462
train loss: 3.300570011138916
train per: 0.8166549853334372
train loss: 3.2526612281799316
train per: 0.8143573811403397
train loss: 3.2556731700897217
train per: 0.8143659748340066
train loss: 3.2922394275665283
train per: 0.8168593707986018
train loss: 3.225135087966919
train per: 0.8208605717630988
train loss: 3.255236864089966
train per: 0.8095832890400766
train loss: 3.2046618461608887
train per: 0.807089679334339
train loss: 3.216402769088745
train per: 0.822992600712524
train loss: 3.222815990447998
train per: 0.8142492298780969
train loss: 3.2220535278320312
train per: 0.814909325141215
train loss: 3.259692668914795
train per: 0.8143159877560631
train loss: 3.225257396697998
train per: 0.8111800407605653
train loss: 3.18519926071167
train per: 0.8082927173836265
train loss: 3.2056174278259277
train per: 0.8181712424383434
train loss: 3.1966023445129395
train per: 0.8187474500203998
train loss: 3.235599994659424
train per: 0.8141167258592242
train loss: 3.2292990684509277
train per: 0.8167470045448285
train loss: 3.197690963745117
train per: 0.8134535018377725
train loss: 3.1679883003234863
train per: 0.8130410121088066
train loss: 3.214153289794922
train per: 0.8120746377357543
train loss: 3.1924846172332764
train per: 0.8053493785409988
train loss: 3.1867833137512207
train per: 0.8122493094752011
train loss: 3.178513288497925
train per: 0.8072807525970841
train loss: 3.1864521503448486
train per: 0.8113621691413815
train loss: 3.196436643600464
train per: 0.8152848974763407
train loss: 3.1640093326568604
train per: 0.8094456974916273
train loss: 3.167738437652588
train per: 0.8024678448185716
train loss: 3.1711013317108154
train per: 0.8138716503792472
train loss: 3.198326587677002
train per: 0.8138194394408819
train loss: 3.190169095993042
train per: 0.8169548816930388
train loss: 3.20683217048645
train per: 0.8101480393264776
train loss: 3.197798490524292
train per: 0.8198378462657866
train loss: 3.1856842041015625
train per: 0.8159515891620782
train loss: 3.2082791328430176
train per: 0.8202385128025255
train loss: 3.205052137374878
train per: 0.8104184257435031
train loss: 3.1968419551849365
train per: 0.8127741624487829
train loss: 3.1801466941833496
train per: 0.8114218312281909
train loss: 3.2177605628967285
train per: 0.8057274999416038
train loss: 3.190173864364624
train per: 0.8109346041832142
train loss: 3.200089693069458
train per: 0.816592932437599
train loss: 3.1812548637390137
train per: 0.8122129570237332
train loss: 3.19626522064209
train per: 0.8089487380308734
train loss: 3.1856327056884766
train per: 0.8114040620663555
train loss: 3.1662847995758057
train per: 0.8108824874256974
train loss: 3.219209671020508
train per: 0.8167786970010341
train loss: 3.1767187118530273
train per: 0.8149078048648795
train loss: 3.178554058074951
train per: 0.8154516437175275
train loss: 3.1714258193969727
train per: 0.82340588482348
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 360/2703 [00:00<00:00, 3592.96it/s]


word -> phonemes:  27%|██▋       | 724/2703 [00:00<00:00, 3616.62it/s]


word -> phonemes:  40%|████      | 1093/2703 [00:00<00:00, 3648.02it/s]


word -> phonemes:  54%|█████▍    | 1458/2703 [00:00<00:00, 3368.09it/s]


word -> phonemes:  67%|██████▋   | 1798/2703 [00:00<00:00, 3263.67it/s]


word -> phonemes:  80%|███████▉  | 2161/2703 [00:00<00:00, 3377.24it/s]


word -> phonemes:  93%|█████████▎| 2501/2703 [00:00<00:00, 3382.74it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3427.16it/s]



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overall:  25%|██▍       | 999/4000 [05:18<10:10,  4.92it/s]

train:  28%|██▊       | 999/3515 [05:16<08:31,  4.92it/s]
                                                           

                                                         

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overall:  25%|██▌       | 1001/4000 [05:19<18:49:55, 22.61s/it]

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overall:  25%|██▌       | 1002/4000 [05:19<13:13:54, 15.89s/it]

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overall:  47%|████▋     | 1872/4000 [08:21<06:49,  5.19it/s]

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overall:  47%|████▋     | 1874/4000 [08:21<07:09,  4.95it/s]

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overall:  47%|████▋     | 1875/4000 [08:21<07:26,  4.76it/s]

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overall:  47%|████▋     | 1876/4000 [08:21<07:11,  4.92it/s]

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overall:  47%|████▋     | 1878/4000 [08:22<08:05,  4.37it/s]

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overall:  47%|████▋     | 1879/4000 [08:22<07:49,  4.52it/s]

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overall:  47%|████▋     | 1881/4000 [08:23<07:30,  4.71it/s]

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overall:  47%|████▋     | 1886/4000 [08:24<08:15,  4.27it/s]

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overall:  47%|████▋     | 1890/4000 [08:25<06:59,  5.03it/s]

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overall:  47%|████▋     | 1891/4000 [08:25<07:07,  4.93it/s]

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overall:  47%|████▋     | 1892/4000 [08:25<07:12,  4.88it/s]

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overall:  47%|████▋     | 1893/4000 [08:25<07:16,  4.82it/s]

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overall:  47%|████▋     | 1894/4000 [08:25<07:17,  4.81it/s]

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overall:  47%|████▋     | 1899/4000 [08:26<06:40,  5.24it/s]

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overall:  48%|████▊     | 1900/4000 [08:26<06:55,  5.06it/s]

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overall:  48%|████▊     | 1901/4000 [08:27<06:54,  5.06it/s]

train:  54%|█████▍    | 1901/3515 [08:24<05:18,  5.06it/s]
overall:  48%|████▊     | 1902/4000 [08:27<08:23,  4.17it/s]

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overall:  48%|████▊     | 1903/4000 [08:27<08:10,  4.28it/s]

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overall:  48%|████▊     | 1904/4000 [08:27<07:52,  4.44it/s]

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overall:  48%|████▊     | 1905/4000 [08:28<06:38,  5.25it/s]

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overall:  48%|████▊     | 1909/4000 [08:28<07:39,  4.55it/s]

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overall:  48%|████▊     | 1914/4000 [08:29<06:04,  5.72it/s]

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overall:  48%|████▊     | 1918/4000 [08:30<06:32,  5.31it/s]

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overall:  48%|████▊     | 1919/4000 [08:30<06:47,  5.11it/s]

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overall:  48%|████▊     | 1920/4000 [08:30<06:59,  4.96it/s]

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overall:  48%|████▊     | 1921/4000 [08:31<07:08,  4.85it/s]

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overall:  48%|████▊     | 1922/4000 [08:31<07:13,  4.79it/s]

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train:  55%|█████▍    | 1927/3515 [08:30<06:29,  4.07it/s]
overall:  48%|████▊     | 1929/4000 [08:32<06:58,  4.95it/s]

train:  55%|█████▍    | 1929/3515 [08:30<05:20,  4.95it/s]
overall:  48%|████▊     | 1930/4000 [08:33<07:11,  4.79it/s]

train:  55%|█████▍    | 1930/3515 [08:30<05:30,  4.79it/s]
overall:  48%|████▊     | 1931/4000 [08:33<07:57,  4.34it/s]

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overall:  48%|████▊     | 1932/4000 [08:33<07:55,  4.35it/s]

train:  55%|█████▍    | 1932/3515 [08:31<06:03,  4.35it/s]
overall:  48%|████▊     | 1933/4000 [08:33<08:13,  4.19it/s]

train:  55%|█████▍    | 1933/3515 [08:31<06:17,  4.19it/s]
overall:  48%|████▊     | 1934/4000 [08:34<07:59,  4.31it/s]

train:  55%|█████▌    | 1934/3515 [08:31<06:07,  4.31it/s]
overall:  48%|████▊     | 1935/4000 [08:34<07:50,  4.39it/s]

train:  55%|█████▌    | 1935/3515 [08:31<06:00,  4.39it/s]
overall:  48%|████▊     | 1936/4000 [08:34<06:38,  5.17it/s]

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overall:  48%|████▊     | 1937/4000 [08:34<06:38,  5.18it/s]

train:  55%|█████▌    | 1937/3515 [08:32<05:04,  5.18it/s]
overall:  48%|████▊     | 1938/4000 [08:34<06:39,  5.16it/s]

train:  55%|█████▌    | 1938/3515 [08:32<05:05,  5.16it/s]
overall:  48%|████▊     | 1939/4000 [08:35<06:54,  4.97it/s]

train:  55%|█████▌    | 1939/3515 [08:32<05:16,  4.97it/s]
overall:  48%|████▊     | 1940/4000 [08:35<06:54,  4.97it/s]

train:  55%|█████▌    | 1940/3515 [08:32<05:16,  4.97it/s]
overall:  49%|████▊     | 1941/4000 [08:35<06:43,  5.10it/s]

train:  55%|█████▌    | 1941/3515 [08:32<05:08,  5.10it/s]
overall:  49%|████▊     | 1942/4000 [08:35<06:56,  4.94it/s]

train:  55%|█████▌    | 1942/3515 [08:33<05:18,  4.94it/s]
overall:  49%|████▊     | 1943/4000 [08:35<07:03,  4.86it/s]

train:  55%|█████▌    | 1943/3515 [08:33<05:23,  4.86it/s]
overall:  49%|████▊     | 1945/4000 [08:36<06:20,  5.40it/s]

train:  55%|█████▌    | 1945/3515 [08:33<04:50,  5.40it/s]
overall:  49%|████▊     | 1946/4000 [08:36<06:33,  5.22it/s]

train:  55%|█████▌    | 1946/3515 [08:33<05:00,  5.22it/s]
overall:  49%|████▊     | 1948/4000 [08:36<05:50,  5.85it/s]

train:  55%|█████▌    | 1948/3515 [08:34<04:27,  5.85it/s]
overall:  49%|████▊     | 1949/4000 [08:36<06:08,  5.56it/s]

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overall:  49%|████▉     | 1950/4000 [08:37<08:32,  4.00it/s]

train:  55%|█████▌    | 1950/3515 [08:34<06:31,  4.00it/s]
overall:  49%|████▉     | 1951/4000 [08:37<08:11,  4.17it/s]

train:  56%|█████▌    | 1951/3515 [08:35<06:15,  4.17it/s]
overall:  49%|████▉     | 1952/4000 [08:37<07:52,  4.33it/s]

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overall:  49%|████▉     | 1953/4000 [08:37<07:40,  4.44it/s]

train:  56%|█████▌    | 1953/3515 [08:35<05:51,  4.44it/s]
overall:  49%|████▉     | 1954/4000 [08:38<07:40,  4.44it/s]

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overall:  49%|████▉     | 1955/4000 [08:38<08:09,  4.18it/s]

train:  56%|█████▌    | 1955/3515 [08:35<06:13,  4.18it/s]
overall:  49%|████▉     | 1956/4000 [08:38<07:42,  4.42it/s]

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overall:  49%|████▉     | 1957/4000 [08:38<08:07,  4.19it/s]

train:  56%|█████▌    | 1957/3515 [08:36<06:11,  4.19it/s]
overall:  49%|████▉     | 1958/4000 [08:39<07:49,  4.35it/s]

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overall:  49%|████▉     | 1959/4000 [08:39<07:38,  4.45it/s]

train:  56%|█████▌    | 1959/3515 [08:36<05:49,  4.45it/s]
overall:  49%|████▉     | 1960/4000 [08:39<07:29,  4.54it/s]

train:  56%|█████▌    | 1960/3515 [08:37<05:42,  4.54it/s]
overall:  49%|████▉     | 1961/4000 [08:39<07:22,  4.60it/s]

train:  56%|█████▌    | 1961/3515 [08:37<05:37,  4.60it/s]
overall:  49%|████▉     | 1962/4000 [08:40<07:20,  4.62it/s]

train:  56%|█████▌    | 1962/3515 [08:37<05:35,  4.62it/s]
overall:  49%|████▉     | 1963/4000 [08:40<07:22,  4.61it/s]

train:  56%|█████▌    | 1963/3515 [08:37<05:36,  4.61it/s]
overall:  49%|████▉     | 1964/4000 [08:40<07:05,  4.78it/s]

train:  56%|█████▌    | 1964/3515 [08:37<05:24,  4.78it/s]
overall:  49%|████▉     | 1965/4000 [08:40<07:07,  4.76it/s]

train:  56%|█████▌    | 1965/3515 [08:38<05:25,  4.76it/s]
overall:  49%|████▉     | 1966/4000 [08:40<06:57,  4.87it/s]

train:  56%|█████▌    | 1966/3515 [08:38<05:17,  4.87it/s]
overall:  49%|████▉     | 1967/4000 [08:41<06:40,  5.07it/s]

train:  56%|█████▌    | 1967/3515 [08:38<05:05,  5.07it/s]
overall:  49%|████▉     | 1968/4000 [08:41<06:29,  5.22it/s]

train:  56%|█████▌    | 1968/3515 [08:38<04:56,  5.22it/s]
overall:  49%|████▉     | 1969/4000 [08:41<06:45,  5.01it/s]

train:  56%|█████▌    | 1969/3515 [08:38<05:08,  5.01it/s]
overall:  49%|████▉     | 1970/4000 [08:41<06:55,  4.88it/s]

train:  56%|█████▌    | 1970/3515 [08:39<05:16,  4.88it/s]
overall:  49%|████▉     | 1971/4000 [08:41<06:58,  4.85it/s]

train:  56%|█████▌    | 1971/3515 [08:39<05:18,  4.85it/s]
overall:  49%|████▉     | 1972/4000 [08:42<06:56,  4.86it/s]

train:  56%|█████▌    | 1972/3515 [08:39<05:17,  4.86it/s]
overall:  49%|████▉     | 1973/4000 [08:42<07:00,  4.82it/s]

train:  56%|█████▌    | 1973/3515 [08:39<05:19,  4.82it/s]
overall:  49%|████▉     | 1974/4000 [08:42<09:22,  3.60it/s]

train:  56%|█████▌    | 1974/3515 [08:40<07:08,  3.60it/s]
overall:  49%|████▉     | 1975/4000 [08:42<08:46,  3.85it/s]

train:  56%|█████▌    | 1975/3515 [08:40<06:40,  3.85it/s]
overall:  49%|████▉     | 1976/4000 [08:43<08:09,  4.13it/s]

train:  56%|█████▌    | 1976/3515 [08:40<06:12,  4.13it/s]
overall:  49%|████▉     | 1977/4000 [08:43<07:57,  4.24it/s]

train:  56%|█████▌    | 1977/3515 [08:40<06:02,  4.24it/s]
overall:  49%|████▉     | 1978/4000 [08:43<07:39,  4.40it/s]

train:  56%|█████▋    | 1978/3515 [08:40<05:49,  4.40it/s]
overall:  49%|████▉     | 1979/4000 [08:43<07:43,  4.36it/s]

train:  56%|█████▋    | 1979/3515 [08:41<05:52,  4.36it/s]
overall:  50%|████▉     | 1980/4000 [08:43<07:40,  4.38it/s]

train:  56%|█████▋    | 1980/3515 [08:41<05:50,  4.38it/s]
overall:  50%|████▉     | 1981/4000 [08:44<07:18,  4.61it/s]

train:  56%|█████▋    | 1981/3515 [08:41<05:32,  4.61it/s]
overall:  50%|████▉     | 1982/4000 [08:44<07:03,  4.77it/s]

train:  56%|█████▋    | 1982/3515 [08:41<05:21,  4.77it/s]
overall:  50%|████▉     | 1984/4000 [08:44<06:09,  5.45it/s]

train:  56%|█████▋    | 1984/3515 [08:42<04:40,  5.45it/s]
overall:  50%|████▉     | 1985/4000 [08:44<06:22,  5.26it/s]

train:  56%|█████▋    | 1985/3515 [08:42<04:50,  5.26it/s]
overall:  50%|████▉     | 1986/4000 [08:45<05:41,  5.89it/s]

train:  57%|█████▋    | 1986/3515 [08:42<04:19,  5.89it/s]
overall:  50%|████▉     | 1987/4000 [08:45<05:59,  5.60it/s]

train:  57%|█████▋    | 1987/3515 [08:42<04:32,  5.60it/s]
overall:  50%|████▉     | 1988/4000 [08:45<06:24,  5.24it/s]

train:  57%|█████▋    | 1988/3515 [08:42<04:51,  5.24it/s]
overall:  50%|████▉     | 1989/4000 [08:45<06:41,  5.01it/s]

train:  57%|█████▋    | 1989/3515 [08:43<05:04,  5.01it/s]
overall:  50%|████▉     | 1990/4000 [08:45<06:51,  4.88it/s]

train:  57%|█████▋    | 1990/3515 [08:43<05:12,  4.88it/s]
overall:  50%|████▉     | 1991/4000 [08:46<06:57,  4.81it/s]

train:  57%|█████▋    | 1991/3515 [08:43<05:16,  4.81it/s]
overall:  50%|████▉     | 1992/4000 [08:46<06:06,  5.48it/s]

train:  57%|█████▋    | 1992/3515 [08:43<04:37,  5.48it/s]
overall:  50%|████▉     | 1993/4000 [08:46<06:30,  5.14it/s]

train:  57%|█████▋    | 1993/3515 [08:43<04:55,  5.14it/s]
overall:  50%|████▉     | 1994/4000 [08:46<06:35,  5.07it/s]

train:  57%|█████▋    | 1994/3515 [08:44<04:59,  5.07it/s]
overall:  50%|████▉     | 1995/4000 [08:46<06:44,  4.96it/s]

train:  57%|█████▋    | 1995/3515 [08:44<05:06,  4.96it/s]
overall:  50%|████▉     | 1996/4000 [08:47<06:49,  4.89it/s]

train:  57%|█████▋    | 1996/3515 [08:44<05:10,  4.89it/s]
overall:  50%|████▉     | 1997/4000 [08:47<06:56,  4.81it/s]

train:  57%|█████▋    | 1997/3515 [08:44<05:15,  4.81it/s]
overall:  50%|████▉     | 1998/4000 [08:47<09:16,  3.60it/s]

train:  57%|█████▋    | 1998/3515 [08:45<07:01,  3.60it/s]
overall:  50%|████▉     | 1999/4000 [08:47<08:30,  3.92it/s]

train:  57%|█████▋    | 1999/3515 [08:45<06:26,  3.92it/s]dev loss: 3.2876076698303223
dev per: 0.8180749219562955
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1812188625335693
train per: 0.8096849976002223
train loss: 3.1860640048980713
train per: 0.8197360150848523
train loss: 3.1828835010528564
train per: 0.8119642531460879
train loss: 3.166511058807373
train per: 0.8194157979820503
train loss: 3.198746681213379
train per: 0.812964244521338
train loss: 3.1831908226013184
train per: 0.8074526887764661
train loss: 3.172894239425659
train per: 0.818217154703291
train loss: 3.1591196060180664
train per: 0.8103933289797559
train loss: 3.182912588119507
train per: 0.8166674610361756
train loss: 3.1878745555877686
train per: 0.8106254238172239
train loss: 3.185269594192505
train per: 0.8034919390179209
train loss: 3.1645658016204834
train per: 0.8153229312593594
train loss: 3.1732523441314697
train per: 0.8088838268792711
train loss: 3.1652183532714844
train per: 0.8203506435863294
train loss: 3.1486098766326904
train per: 0.809887575670222
train loss: 3.171137571334839
train per: 0.8107436809039108
train loss: 3.1747360229492188
train per: 0.813741326356501
train loss: 3.170823335647583
train per: 0.8218864340977013
train loss: 3.1738717555999756
train per: 0.8141742084381401
train loss: 3.171290159225464
train per: 0.8072408624466736
train loss: 3.1581814289093018
train per: 0.8123206005740782
train loss: 3.1638762950897217
train per: 0.8164366833557211
train loss: 3.1561439037323
train per: 0.8069129916567342
train loss: 3.168886184692383
train per: 0.8030828424852745
train loss: 3.195004940032959
train per: 0.8136585602876509
train loss: 3.1782894134521484
train per: 0.8161268090971744
train loss: 3.187833309173584
train per: 0.814455552553364
train loss: 3.176215648651123
train per: 0.8121613628297646
train loss: 3.179366111755371
train per: 0.8033714432676347
train loss: 3.159951686859131
train per: 0.8092728929160614
train loss: 3.173099994659424
train per: 0.8192638194177247
train loss: 3.221886396408081
train per: 0.8183896306023686
train loss: 3.2054381370544434
train per: 0.8103090405904059
train loss: 3.1955740451812744
train per: 0.8111326927008792
train loss: 3.175490379333496
train per: 0.8098283893702783
train loss: 3.234107255935669
train per: 0.8189496546107207
train loss: 3.2201988697052
train per: 0.8239275854746231
train loss: 3.1826400756835938
train per: 0.8146760304737325
train loss: 3.1712636947631836
train per: 0.8129322080043561
train loss: 3.193427562713623
train per: 0.8097383989646885
train loss: 3.165482759475708
train per: 0.8077147866744594
train loss: 3.185589551925659
train per: 0.8142004834644859
train loss: 3.1884026527404785
train per: 0.8126618203545111
train loss: 3.1621437072753906
train per: 0.8184703748488513
train loss: 3.1594290733337402
train per: 0.8146806880701999
train loss: 3.1650214195251465
train per: 0.8077056949315912
train loss: 3.171762704849243
train per: 0.8139177810797424
train loss: 3.171205759048462
train per: 0.8096926713947991
train loss: 3.152580976486206
train per: 0.8116152709594395
train loss: 3.159261703491211
train per: 0.8132881520029045
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 339/2703 [00:00<00:00, 3389.42it/s]


word -> phonemes:  25%|██▌       | 678/2703 [00:00<00:00, 3155.92it/s]


word -> phonemes:  37%|███▋      | 995/2703 [00:00<00:01, 1652.69it/s]


word -> phonemes:  50%|█████     | 1361/2703 [00:00<00:00, 2145.62it/s]


word -> phonemes:  64%|██████▍   | 1730/2703 [00:00<00:00, 2545.87it/s]


word -> phonemes:  75%|███████▌  | 2040/2703 [00:00<00:00, 2690.04it/s]


word -> phonemes:  87%|████████▋ | 2349/2703 [00:00<00:00, 2779.81it/s]


word -> phonemes:  99%|█████████▉| 2685/2703 [00:01<00:00, 2878.27it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2578.67it/s]



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


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train:  84%|████████▍ | 2964/3515 [14:14<01:54,  4.83it/s]
overall:  74%|███████▍  | 2965/4000 [14:17<05:14,  3.29it/s]

train:  84%|████████▍ | 2965/3515 [14:15<02:47,  3.29it/s]
overall:  74%|███████▍  | 2966/4000 [14:17<04:42,  3.66it/s]

train:  84%|████████▍ | 2966/3515 [14:15<02:30,  3.66it/s]
overall:  74%|███████▍  | 2967/4000 [14:18<04:24,  3.91it/s]

train:  84%|████████▍ | 2967/3515 [14:15<02:20,  3.91it/s]
overall:  74%|███████▍  | 2968/4000 [14:18<04:11,  4.10it/s]

train:  84%|████████▍ | 2968/3515 [14:15<02:13,  4.10it/s]
overall:  74%|███████▍  | 2970/4000 [14:18<03:21,  5.11it/s]

train:  84%|████████▍ | 2970/3515 [14:16<01:46,  5.11it/s]
overall:  74%|███████▍  | 2971/4000 [14:18<03:25,  5.00it/s]

train:  85%|████████▍ | 2971/3515 [14:16<01:48,  5.00it/s]
overall:  74%|███████▍  | 2972/4000 [14:19<03:33,  4.82it/s]

train:  85%|████████▍ | 2972/3515 [14:16<01:52,  4.82it/s]
overall:  74%|███████▍  | 2973/4000 [14:19<03:30,  4.87it/s]

train:  85%|████████▍ | 2973/3515 [14:16<01:51,  4.87it/s]
overall:  74%|███████▍  | 2974/4000 [14:19<03:28,  4.92it/s]

train:  85%|████████▍ | 2974/3515 [14:16<01:49,  4.92it/s]
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overall:  74%|███████▍  | 2976/4000 [14:19<03:26,  4.95it/s]

train:  85%|████████▍ | 2976/3515 [14:17<01:48,  4.95it/s]
overall:  74%|███████▍  | 2977/4000 [14:20<03:30,  4.85it/s]

train:  85%|████████▍ | 2977/3515 [14:17<01:50,  4.85it/s]
overall:  74%|███████▍  | 2978/4000 [14:20<03:34,  4.76it/s]

train:  85%|████████▍ | 2978/3515 [14:17<01:52,  4.76it/s]
overall:  74%|███████▍  | 2979/4000 [14:20<03:32,  4.81it/s]

train:  85%|████████▍ | 2979/3515 [14:17<01:51,  4.81it/s]
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train:  85%|████████▍ | 2980/3515 [14:18<01:49,  4.87it/s]
overall:  75%|███████▍  | 2981/4000 [14:20<02:57,  5.73it/s]

train:  85%|████████▍ | 2981/3515 [14:18<01:33,  5.73it/s]
overall:  75%|███████▍  | 2983/4000 [14:21<02:40,  6.33it/s]

train:  85%|████████▍ | 2983/3515 [14:18<01:24,  6.33it/s]
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train:  85%|████████▍ | 2984/3515 [14:18<01:28,  6.03it/s]
overall:  75%|███████▍  | 2985/4000 [14:21<02:58,  5.68it/s]

train:  85%|████████▍ | 2985/3515 [14:18<01:33,  5.68it/s]
overall:  75%|███████▍  | 2986/4000 [14:21<03:05,  5.48it/s]

train:  85%|████████▍ | 2986/3515 [14:19<01:36,  5.48it/s]
overall:  75%|███████▍  | 2987/4000 [14:21<03:08,  5.36it/s]

train:  85%|████████▍ | 2987/3515 [14:19<01:38,  5.36it/s]
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train:  85%|████████▌ | 2988/3515 [14:19<01:43,  5.11it/s]
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train:  85%|████████▌ | 2989/3515 [14:20<02:39,  3.30it/s]
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train:  85%|████████▌ | 2990/3515 [14:20<02:24,  3.64it/s]
overall:  75%|███████▍  | 2991/4000 [14:23<04:06,  4.10it/s]

train:  85%|████████▌ | 2991/3515 [14:20<02:07,  4.10it/s]
overall:  75%|███████▍  | 2992/4000 [14:23<03:57,  4.24it/s]

train:  85%|████████▌ | 2992/3515 [14:20<02:03,  4.24it/s]
overall:  75%|███████▍  | 2993/4000 [14:23<03:52,  4.33it/s]

train:  85%|████████▌ | 2993/3515 [14:20<02:00,  4.33it/s]
overall:  75%|███████▍  | 2994/4000 [14:23<03:42,  4.52it/s]

train:  85%|████████▌ | 2994/3515 [14:21<01:55,  4.52it/s]
overall:  75%|███████▍  | 2995/4000 [14:23<03:42,  4.51it/s]

train:  85%|████████▌ | 2995/3515 [14:21<01:55,  4.51it/s]
overall:  75%|███████▍  | 2996/4000 [14:24<03:39,  4.57it/s]

train:  85%|████████▌ | 2996/3515 [14:21<01:53,  4.57it/s]
overall:  75%|███████▍  | 2997/4000 [14:24<03:38,  4.59it/s]

train:  85%|████████▌ | 2997/3515 [14:21<01:52,  4.59it/s]
overall:  75%|███████▍  | 2998/4000 [14:24<03:29,  4.77it/s]

train:  85%|████████▌ | 2998/3515 [14:21<01:48,  4.77it/s]
overall:  75%|███████▍  | 2999/4000 [14:24<03:31,  4.73it/s]

train:  85%|████████▌ | 2999/3515 [14:22<01:49,  4.73it/s]dev loss: 3.3044261932373047
dev per: 0.8323257023933402
train loss: 3.1681125164031982
train per: 0.8186640101235831
train loss: 3.1418585777282715
train per: 0.814627161581672
train loss: 3.165665864944458
train per: 0.8149175302875492
train loss: 3.1562743186950684
train per: 0.8136325028312571
train loss: 3.1603212356567383
train per: 0.8108411494711635
train loss: 3.1680305004119873
train per: 0.8174204355108877
train loss: 3.169783353805542
train per: 0.8139262177818429
train loss: 3.1637930870056152
train per: 0.8065232974910395
train loss: 3.132018566131592
train per: 0.8080124616657742
train loss: 3.153555393218994
train per: 0.8136085517701117
train loss: 3.1526131629943848
train per: 0.811281398208326
train loss: 3.185044765472412
train per: 0.8133795635325312
train loss: 3.2128288745880127
train per: 0.8107624037639007
train loss: 3.188491106033325
train per: 0.8036879776780298
train loss: 3.1600594520568848
train per: 0.8216737588652482
train loss: 3.187955379486084
train per: 0.8104242237143372
train loss: 3.173203468322754
train per: 0.8112199055408363
train loss: 3.185333490371704
train per: 0.805119419014985
train loss: 3.165147304534912
train per: 0.8082054941134499
train loss: 3.1618924140930176
train per: 0.8107062736907248
train loss: 3.1739728450775146
train per: 0.8154752385521616
train loss: 3.191387891769409
train per: 0.817701702268119
train loss: 3.1792819499969482
train per: 0.8090144285132751
train loss: 3.1891064643859863
train per: 0.8124679442346249
train loss: 3.198761463165283
train per: 0.8083994425385935
train loss: 3.1617228984832764
train per: 0.8114754098360656
train loss: 3.1487209796905518
train per: 0.8167071990177791
train loss: 3.1559157371520996
train per: 0.811741570339105
train loss: 3.160452365875244
train per: 0.8151608266838479
train loss: 3.180495262145996
train per: 0.8116143120351205
train loss: 3.162566900253296
train per: 0.813696571682992
train loss: 3.1712632179260254
train per: 0.8132245488110299
train loss: 3.165212631225586
train per: 0.8182941039384759
train loss: 3.154390335083008
train per: 0.8154089074914158
train loss: 3.1676669120788574
train per: 0.809236002093145
train loss: 3.1712608337402344
train per: 0.8168808250151657
train loss: 3.1740524768829346
train per: 0.8046603378128467
train loss: 3.1574301719665527
train per: 0.8096625912235808
train loss: 3.1741538047790527
train per: 0.814223589308443
train loss: 3.167489528656006
train per: 0.8142210439436761
train loss: 3.1667048931121826
train per: 0.8170834783473375
train loss: 3.1595511436462402
train per: 0.8132378403903667
train loss: 3.1533055305480957
train per: 0.8117606216786392
train loss: 3.200312852859497
train per: 0.8051915494883657
train loss: 3.1646265983581543
train per: 0.813913763652363
train loss: 3.1677021980285645
train per: 0.812273465816773
train loss: 3.178136110305786
train per: 0.8151531744430676
train loss: 3.1757736206054688
train per: 0.8066414650157322
train loss: 3.1970505714416504
train per: 0.8115674938779632
train loss: 3.1966209411621094
train per: 0.8197060854127626
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 355/2703 [00:00<00:00, 3530.31it/s]


word -> phonemes:  26%|██▌       | 709/2703 [00:00<00:00, 3441.30it/s]


word -> phonemes:  39%|███▉      | 1054/2703 [00:00<00:00, 3198.32it/s]


word -> phonemes:  51%|█████     | 1376/2703 [00:00<00:00, 3193.13it/s]


word -> phonemes:  63%|██████▎   | 1697/2703 [00:00<00:00, 3196.52it/s]


word -> phonemes:  76%|███████▌  | 2061/2703 [00:00<00:00, 3340.44it/s]


word -> phonemes:  90%|█████████ | 2438/2703 [00:00<00:00, 3476.92it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3384.56it/s]



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train: 100%|██████████| 3515/3515 [18:04<00:00,  5.10it/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 [18:04<00:00,  3.24it/s]
dev loss: 3.317460536956787
dev per: 0.7893028095733611
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1429443359375
train per: 0.8126924521216673
train loss: 3.1587462425231934
train per: 0.8191146771464439
train loss: 3.145259380340576
train per: 0.8106503115264797
train loss: 3.145832061767578
train per: 0.8145319824587933
train loss: 3.1496529579162598
train per: 0.803015598740739
train loss: 3.1594834327697754
train per: 0.8159845638265462
train loss: 3.1574060916900635
train per: 0.8142849947111268
train loss: 3.168060064315796
train per: 0.8124204509978147
train loss: 3.1800875663757324
train per: 0.8103478325822274
train loss: 3.1562893390655518
train per: 0.8069754172412154
train loss: 3.157688617706299
train per: 0.8155964059022339
train loss: 3.1946921348571777
train per: 0.8048102518197451
train loss: 3.1628222465515137
train per: 0.822292112215373
train loss: 3.146940231323242
train per: 0.8099563359562892
train loss: 3.1701152324676514
train per: 0.8108625257580218
train loss: 3.16623592376709
train per: 0.8077317590207654
train loss: 3.1627440452575684
train per: 0.8061504667764964
train loss: 3.165046215057373
train per: 0.8130432506021573
train loss: 3.159982204437256
train per: 0.8033530156052299
train loss: 3.1792335510253906
train per: 0.8106558713253273
train loss: 3.1931064128875732
train per: 0.8072139987894129
train loss: 3.180006742477417
train per: 0.8123395316268576
train loss: 3.2071175575256348
train per: 0.80630834984838
train loss: 3.172030448913574
train per: 0.8137866191607285
train loss: 3.1868252754211426
train per: 0.8038923923569286
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   8%|▊         | 295/3515 [00:00<00:01, 2949.49it/s]

word -> phonemes:  17%|█▋        | 590/3515 [00:00<00:01, 2640.37it/s]

word -> phonemes:  24%|██▍       | 857/3515 [00:00<00:01, 2462.40it/s]

word -> phonemes:  31%|███▏      | 1105/3515 [00:00<00:01, 2272.36it/s]

word -> phonemes:  39%|███▉      | 1364/3515 [00:00<00:00, 2372.60it/s]

word -> phonemes:  46%|████▌     | 1613/3515 [00:00<00:00, 2408.37it/s]

word -> phonemes:  53%|█████▎    | 1856/3515 [00:00<00:00, 2386.29it/s]

word -> phonemes:  60%|██████    | 2110/3515 [00:00<00:00, 2432.98it/s]

word -> phonemes:  67%|██████▋   | 2355/3515 [00:00<00:00, 2407.09it/s]

word -> phonemes:  74%|███████▍  | 2597/3515 [00:01<00:00, 2385.69it/s]

word -> phonemes:  81%|████████  | 2837/3515 [00:01<00:00, 2386.44it/s]

word -> phonemes:  88%|████████▊ | 3076/3515 [00:01<00:00, 2356.96it/s]

word -> phonemes:  96%|█████████▌| 3376/3515 [00:01<00:00, 2544.06it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2467.29it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:11<11:33,  1.43s/it]

train:   0%|          | 1/3515 [00:01<1:36:50,  1.65s/it]
overall:  88%|████████▊ | 3517/4000 [18:11<08:20,  1.04s/it]

train:   0%|          | 2/3515 [00:01<43:49,  1.34it/s]  
overall:  88%|████████▊ | 3518/4000 [18:11<06:19,  1.27it/s]

train:   0%|          | 3/3515 [00:01<29:19,  2.00it/s]
overall:  88%|████████▊ | 3519/4000 [18:12<04:57,  1.62it/s]

train:   0%|          | 4/3515 [00:02<22:54,  2.55it/s]
overall:  88%|████████▊ | 3520/4000 [18:12<03:55,  2.04it/s]

train:   0%|          | 5/3515 [00:02<18:44,  3.12it/s]
overall:  88%|████████▊ | 3521/4000 [18:12<03:08,  2.54it/s]

train:   0%|          | 6/3515 [00:02<15:39,  3.74it/s]
overall:  88%|████████▊ | 3523/4000 [18:12<02:18,  3.44it/s]

train:   0%|          | 8/3515 [00:02<12:49,  4.56it/s]
overall:  88%|████████▊ | 3524/4000 [18:12<02:09,  3.67it/s]

train:   0%|          | 9/3515 [00:03<12:49,  4.55it/s]
overall:  88%|████████▊ | 3525/4000 [18:13<01:56,  4.07it/s]

train:   0%|          | 10/3515 [00:03<12:01,  4.86it/s]
overall:  88%|████████▊ | 3527/4000 [18:13<01:39,  4.75it/s]

train:   0%|          | 12/3515 [00:03<10:56,  5.33it/s]
overall:  88%|████████▊ | 3528/4000 [18:13<01:46,  4.44it/s]

train:   0%|          | 13/3515 [00:03<12:07,  4.81it/s]
overall:  88%|████████▊ | 3529/4000 [18:13<01:45,  4.45it/s]

train:   0%|          | 14/3515 [00:04<12:22,  4.72it/s]
overall:  88%|████████▊ | 3530/4000 [18:14<01:39,  4.70it/s]

train:   0%|          | 15/3515 [00:04<11:50,  4.93it/s]
overall:  88%|████████▊ | 3531/4000 [18:14<01:39,  4.73it/s]

train:   0%|          | 16/3515 [00:04<11:54,  4.90it/s]
overall:  88%|████████▊ | 3532/4000 [18:14<01:39,  4.72it/s]

train:   0%|          | 17/3515 [00:04<12:04,  4.83it/s]
overall:  88%|████████▊ | 3533/4000 [18:14<01:34,  4.96it/s]

train:   1%|          | 18/3515 [00:04<11:32,  5.05it/s]
overall:  88%|████████▊ | 3534/4000 [18:14<01:35,  4.87it/s]

train:   1%|          | 19/3515 [00:05<11:49,  4.93it/s]
overall:  88%|████████▊ | 3535/4000 [18:15<01:39,  4.69it/s]

train:   1%|          | 20/3515 [00:05<12:18,  4.73it/s]
overall:  88%|████████▊ | 3536/4000 [18:15<01:39,  4.66it/s]

train:   1%|          | 21/3515 [00:05<12:24,  4.69it/s]
overall:  88%|████████▊ | 3538/4000 [18:15<01:26,  5.36it/s]

train:   1%|          | 23/3515 [00:05<10:49,  5.38it/s]
overall:  88%|████████▊ | 3539/4000 [18:15<01:30,  5.07it/s]

train:   1%|          | 24/3515 [00:06<11:26,  5.09it/s]
overall:  88%|████████▊ | 3540/4000 [18:16<01:47,  4.28it/s]

train:   1%|          | 25/3515 [00:06<13:34,  4.29it/s]
overall:  89%|████████▊ | 3541/4000 [18:16<01:44,  4.38it/s]

train:   1%|          | 26/3515 [00:06<13:14,  4.39it/s]
overall:  89%|████████▊ | 3542/4000 [18:16<01:41,  4.50it/s]

train:   1%|          | 27/3515 [00:06<12:53,  4.51it/s]
overall:  89%|████████▊ | 3544/4000 [18:17<01:26,  5.26it/s]

train:   1%|          | 29/3515 [00:07<11:02,  5.27it/s]
overall:  89%|████████▊ | 3546/4000 [18:17<01:19,  5.70it/s]

train:   1%|          | 31/3515 [00:07<10:11,  5.70it/s]
overall:  89%|████████▊ | 3547/4000 [18:17<01:25,  5.33it/s]

train:   1%|          | 32/3515 [00:07<10:53,  5.33it/s]
overall:  89%|████████▊ | 3548/4000 [18:17<01:27,  5.18it/s]

train:   1%|          | 33/3515 [00:07<11:12,  5.18it/s]
overall:  89%|████████▊ | 3549/4000 [18:17<01:28,  5.07it/s]

train:   1%|          | 34/3515 [00:08<11:26,  5.07it/s]
overall:  89%|████████▉ | 3550/4000 [18:18<01:27,  5.17it/s]

train:   1%|          | 35/3515 [00:08<11:12,  5.17it/s]
overall:  89%|████████▉ | 3551/4000 [18:18<01:31,  4.88it/s]

train:   1%|          | 36/3515 [00:08<11:52,  4.88it/s]
overall:  89%|████████▉ | 3552/4000 [18:18<01:47,  4.15it/s]

train:   1%|          | 37/3515 [00:08<13:57,  4.15it/s]
overall:  89%|████████▉ | 3553/4000 [18:18<01:43,  4.30it/s]

train:   1%|          | 38/3515 [00:09<13:28,  4.30it/s]
overall:  89%|████████▉ | 3554/4000 [18:19<01:41,  4.41it/s]

train:   1%|          | 39/3515 [00:09<13:07,  4.41it/s]
overall:  89%|████████▉ | 3556/4000 [18:19<01:25,  5.17it/s]

train:   1%|          | 41/3515 [00:09<11:12,  5.17it/s]
overall:  89%|████████▉ | 3557/4000 [18:19<01:26,  5.10it/s]

train:   1%|          | 42/3515 [00:09<11:21,  5.10it/s]
overall:  89%|████████▉ | 3558/4000 [18:19<01:27,  5.03it/s]

train:   1%|          | 43/3515 [00:09<11:30,  5.03it/s]
overall:  89%|████████▉ | 3559/4000 [18:20<01:19,  5.52it/s]

train:   1%|▏         | 44/3515 [00:10<10:28,  5.52it/s]
overall:  89%|████████▉ | 3560/4000 [18:20<01:23,  5.24it/s]

train:   1%|▏         | 45/3515 [00:10<11:02,  5.24it/s]
overall:  89%|████████▉ | 3561/4000 [18:20<01:26,  5.08it/s]

train:   1%|▏         | 46/3515 [00:10<11:22,  5.08it/s]
overall:  89%|████████▉ | 3562/4000 [18:20<01:28,  4.95it/s]

train:   1%|▏         | 47/3515 [00:10<11:40,  4.95it/s]
overall:  89%|████████▉ | 3563/4000 [18:20<01:20,  5.45it/s]

train:   1%|▏         | 48/3515 [00:10<10:35,  5.45it/s]
overall:  89%|████████▉ | 3564/4000 [18:21<01:41,  4.28it/s]

train:   1%|▏         | 49/3515 [00:11<13:29,  4.28it/s]
overall:  89%|████████▉ | 3565/4000 [18:21<01:26,  5.01it/s]

train:   1%|▏         | 50/3515 [00:11<11:31,  5.01it/s]
overall:  89%|████████▉ | 3566/4000 [18:21<01:28,  4.93it/s]

train:   1%|▏         | 51/3515 [00:11<11:42,  4.93it/s]
overall:  89%|████████▉ | 3567/4000 [18:21<01:26,  5.01it/s]

train:   1%|▏         | 52/3515 [00:11<11:30,  5.01it/s]
overall:  89%|████████▉ | 3569/4000 [18:21<01:15,  5.69it/s]

train:   2%|▏         | 54/3515 [00:12<10:08,  5.69it/s]
overall:  89%|████████▉ | 3570/4000 [18:22<01:18,  5.50it/s]

train:   2%|▏         | 55/3515 [00:12<10:29,  5.50it/s]
overall:  89%|████████▉ | 3571/4000 [18:22<01:23,  5.17it/s]

train:   2%|▏         | 56/3515 [00:12<11:09,  5.16it/s]
overall:  89%|████████▉ | 3572/4000 [18:22<01:24,  5.04it/s]

train:   2%|▏         | 57/3515 [00:12<11:26,  5.04it/s]
overall:  89%|████████▉ | 3573/4000 [18:22<01:25,  5.00it/s]

train:   2%|▏         | 58/3515 [00:12<11:31,  5.00it/s]
overall:  89%|████████▉ | 3574/4000 [18:23<01:26,  4.91it/s]

train:   2%|▏         | 59/3515 [00:13<11:44,  4.91it/s]
overall:  89%|████████▉ | 3575/4000 [18:23<01:28,  4.83it/s]

train:   2%|▏         | 60/3515 [00:13<11:55,  4.83it/s]
overall:  89%|████████▉ | 3576/4000 [18:23<01:45,  4.02it/s]

train:   2%|▏         | 61/3515 [00:13<14:19,  4.02it/s]
overall:  89%|████████▉ | 3577/4000 [18:23<01:41,  4.19it/s]

train:   2%|▏         | 62/3515 [00:13<13:44,  4.19it/s]
overall:  89%|████████▉ | 3578/4000 [18:24<01:38,  4.28it/s]

train:   2%|▏         | 63/3515 [00:14<13:26,  4.28it/s]
overall:  89%|████████▉ | 3579/4000 [18:24<01:36,  4.36it/s]

train:   2%|▏         | 64/3515 [00:14<13:10,  4.36it/s]
overall:  90%|████████▉ | 3580/4000 [18:24<01:35,  4.41it/s]

train:   2%|▏         | 65/3515 [00:14<13:02,  4.41it/s]
overall:  90%|████████▉ | 3581/4000 [18:24<01:32,  4.51it/s]

train:   2%|▏         | 66/3515 [00:14<12:45,  4.51it/s]
overall:  90%|████████▉ | 3582/4000 [18:24<01:31,  4.57it/s]

train:   2%|▏         | 67/3515 [00:14<12:35,  4.57it/s]
overall:  90%|████████▉ | 3583/4000 [18:25<01:31,  4.55it/s]

train:   2%|▏         | 68/3515 [00:15<12:37,  4.55it/s]
overall:  90%|████████▉ | 3584/4000 [18:25<01:18,  5.33it/s]

train:   2%|▏         | 69/3515 [00:15<10:47,  5.33it/s]
overall:  90%|████████▉ | 3586/4000 [18:25<01:07,  6.14it/s]

train:   2%|▏         | 71/3515 [00:15<09:20,  6.14it/s]
overall:  90%|████████▉ | 3587/4000 [18:25<01:12,  5.70it/s]

train:   2%|▏         | 72/3515 [00:15<10:03,  5.70it/s]
overall:  90%|████████▉ | 3588/4000 [18:26<01:32,  4.47it/s]

train:   2%|▏         | 73/3515 [00:16<12:49,  4.47it/s]
overall:  90%|████████▉ | 3589/4000 [18:26<01:31,  4.50it/s]

train:   2%|▏         | 74/3515 [00:16<12:43,  4.50it/s]
overall:  90%|████████▉ | 3590/4000 [18:26<01:31,  4.49it/s]

train:   2%|▏         | 75/3515 [00:16<12:45,  4.49it/s]
overall:  90%|████████▉ | 3591/4000 [18:26<01:26,  4.72it/s]

train:   2%|▏         | 76/3515 [00:16<12:08,  4.72it/s]
overall:  90%|████████▉ | 3592/4000 [18:26<01:22,  4.97it/s]

train:   2%|▏         | 77/3515 [00:16<11:31,  4.97it/s]
overall:  90%|████████▉ | 3593/4000 [18:27<01:24,  4.84it/s]

train:   2%|▏         | 78/3515 [00:17<11:50,  4.84it/s]
overall:  90%|████████▉ | 3594/4000 [18:27<01:23,  4.84it/s]

train:   2%|▏         | 79/3515 [00:17<11:49,  4.84it/s]
overall:  90%|████████▉ | 3595/4000 [18:27<01:19,  5.09it/s]

train:   2%|▏         | 80/3515 [00:17<11:15,  5.09it/s]
overall:  90%|████████▉ | 3596/4000 [18:27<01:18,  5.16it/s]

train:   2%|▏         | 81/3515 [00:17<11:05,  5.16it/s]
overall:  90%|████████▉ | 3597/4000 [18:27<01:22,  4.86it/s]

train:   2%|▏         | 82/3515 [00:17<11:46,  4.86it/s]
overall:  90%|████████▉ | 3598/4000 [18:28<01:20,  4.98it/s]

train:   2%|▏         | 83/3515 [00:18<11:29,  4.98it/s]
overall:  90%|████████▉ | 3599/4000 [18:28<01:18,  5.14it/s]

train:   2%|▏         | 84/3515 [00:18<11:07,  5.14it/s]
overall:  90%|█████████ | 3600/4000 [18:28<01:37,  4.12it/s]

train:   2%|▏         | 85/3515 [00:18<13:52,  4.12it/s]
overall:  90%|█████████ | 3601/4000 [18:28<01:33,  4.28it/s]

train:   2%|▏         | 86/3515 [00:18<13:20,  4.28it/s]
overall:  90%|█████████ | 3602/4000 [18:29<01:28,  4.52it/s]

train:   2%|▏         | 87/3515 [00:19<12:38,  4.52it/s]
overall:  90%|█████████ | 3603/4000 [18:29<01:26,  4.59it/s]

train:   3%|▎         | 88/3515 [00:19<12:26,  4.59it/s]
overall:  90%|█████████ | 3604/4000 [18:29<01:25,  4.65it/s]

train:   3%|▎         | 89/3515 [00:19<12:17,  4.65it/s]
overall:  90%|█████████ | 3606/4000 [18:29<01:07,  5.81it/s]

train:   3%|▎         | 91/3515 [00:19<09:49,  5.81it/s]
overall:  90%|█████████ | 3607/4000 [18:29<01:12,  5.44it/s]

train:   3%|▎         | 92/3515 [00:20<10:29,  5.44it/s]
overall:  90%|█████████ | 3608/4000 [18:30<01:09,  5.61it/s]

train:   3%|▎         | 93/3515 [00:20<10:09,  5.61it/s]
overall:  90%|█████████ | 3609/4000 [18:30<01:11,  5.47it/s]

train:   3%|▎         | 94/3515 [00:20<10:25,  5.47it/s]
overall:  90%|█████████ | 3610/4000 [18:30<01:13,  5.32it/s]

train:   3%|▎         | 95/3515 [00:20<10:43,  5.32it/s]
overall:  90%|█████████ | 3611/4000 [18:30<01:17,  5.02it/s]

train:   3%|▎         | 96/3515 [00:20<11:20,  5.02it/s]
overall:  90%|█████████ | 3612/4000 [18:31<01:34,  4.11it/s]

train:   3%|▎         | 97/3515 [00:21<13:51,  4.11it/s]
overall:  90%|█████████ | 3613/4000 [18:31<01:28,  4.37it/s]

train:   3%|▎         | 98/3515 [00:21<13:02,  4.37it/s]
overall:  90%|█████████ | 3614/4000 [18:31<01:25,  4.49it/s]

train:   3%|▎         | 99/3515 [00:21<12:40,  4.49it/s]
overall:  90%|█████████ | 3615/4000 [18:31<01:26,  4.46it/s]

train:   3%|▎         | 100/3515 [00:21<12:45,  4.46it/s]
overall:  90%|█████████ | 3616/4000 [18:31<01:25,  4.51it/s]

train:   3%|▎         | 101/3515 [00:21<12:36,  4.51it/s]
overall:  90%|█████████ | 3617/4000 [18:32<01:22,  4.63it/s]

train:   3%|▎         | 102/3515 [00:22<12:17,  4.63it/s]
overall:  90%|█████████ | 3618/4000 [18:32<01:24,  4.50it/s]

train:   3%|▎         | 103/3515 [00:22<12:38,  4.50it/s]
overall:  90%|█████████ | 3619/4000 [18:32<01:25,  4.47it/s]

train:   3%|▎         | 104/3515 [00:22<12:42,  4.47it/s]
overall:  90%|█████████ | 3620/4000 [18:32<01:26,  4.40it/s]

train:   3%|▎         | 105/3515 [00:22<12:54,  4.40it/s]
overall:  91%|█████████ | 3621/4000 [18:32<01:24,  4.46it/s]

train:   3%|▎         | 106/3515 [00:23<12:43,  4.46it/s]
overall:  91%|█████████ | 3622/4000 [18:33<01:22,  4.57it/s]

train:   3%|▎         | 107/3515 [00:23<12:24,  4.57it/s]
overall:  91%|█████████ | 3623/4000 [18:33<01:23,  4.53it/s]

train:   3%|▎         | 108/3515 [00:23<12:31,  4.53it/s]
overall:  91%|█████████ | 3624/4000 [18:33<01:38,  3.80it/s]

train:   3%|▎         | 109/3515 [00:23<14:55,  3.80it/s]
overall:  91%|█████████ | 3625/4000 [18:33<01:32,  4.04it/s]

train:   3%|▎         | 110/3515 [00:24<14:03,  4.04it/s]
overall:  91%|█████████ | 3626/4000 [18:34<01:25,  4.35it/s]

train:   3%|▎         | 111/3515 [00:24<13:01,  4.35it/s]
overall:  91%|█████████ | 3627/4000 [18:34<01:23,  4.45it/s]

train:   3%|▎         | 112/3515 [00:24<12:44,  4.45it/s]
overall:  91%|█████████ | 3629/4000 [18:34<01:11,  5.18it/s]

train:   3%|▎         | 114/3515 [00:24<10:56,  5.18it/s]
overall:  91%|█████████ | 3630/4000 [18:34<01:12,  5.10it/s]

train:   3%|▎         | 115/3515 [00:25<11:06,  5.10it/s]
overall:  91%|█████████ | 3631/4000 [18:35<01:14,  4.97it/s]

train:   3%|▎         | 116/3515 [00:25<11:24,  4.97it/s]
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train:   5%|▌         | 181/3515 [00:38<12:42,  4.38it/s]
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train:  14%|█▎        | 478/3515 [01:41<09:43,  5.21it/s]
overall: 100%|█████████▉| 3994/4000 [19:52<00:01,  5.35it/s]

train:  14%|█▎        | 479/3515 [01:42<09:27,  5.35it/s]
overall: 100%|█████████▉| 3996/4000 [19:52<00:00,  5.04it/s]

train:  14%|█▎        | 481/3515 [01:42<10:01,  5.04it/s]
overall: 100%|█████████▉| 3997/4000 [19:52<00:00,  5.02it/s]

train:  14%|█▎        | 482/3515 [01:42<10:04,  5.02it/s]
overall: 100%|█████████▉| 3998/4000 [19:52<00:00,  4.91it/s]

train:  14%|█▎        | 483/3515 [01:42<10:18,  4.91it/s]
overall: 100%|█████████▉| 3999/4000 [19:53<00:00,  4.93it/s]

train:  14%|█▍        | 484/3515 [01:43<10:14,  4.93it/s]train loss: 3.158064365386963
train per: 0.8121075551954628
train loss: 3.167908191680908
train per: 0.8170408549547189
train loss: 3.1518025398254395
train per: 0.8054374665886007
train loss: 3.176398754119873
train per: 0.8058628841607565
train loss: 3.206670045852661
train per: 0.817379618125111
train loss: 3.1589291095733643
train per: 0.8125682246700406
train loss: 3.1594789028167725
train per: 0.8106253585771658
train loss: 3.169804096221924
train per: 0.8046097299504824
train loss: 3.20704984664917
train per: 0.8144487466884043
train loss: 3.1844406127929688
train per: 0.811890133718829
train loss: 3.1875836849212646
train per: 0.8075271335988131
train loss: 3.178269863128662
train per: 0.808433734939759
train loss: 3.176788806915283
train per: 0.8164839319470699
train loss: 3.1818411350250244
train per: 0.814482236550158
train loss: 3.198502540588379
train per: 0.8169593500115702
train loss: 3.1550636291503906
train per: 0.8108512961129306
train loss: 3.1625678539276123
train per: 0.8096891778730112
train loss: 3.1565654277801514
train per: 0.8097875172315444
train loss: 3.1708011627197266
train per: 0.8113435634282331
train loss: 3.146291494369507
train per: 0.8095104568290689
train loss: 3.1710562705993652
train per: 0.8058099308099308
train loss: 3.149710178375244
train per: 0.8065078314581955
train loss: 3.154667854309082
train per: 0.8104906937394247
train loss: 3.159024238586426
train per: 0.8097646372301108
train loss: 3.1499886512756348
train per: 0.8092584336454154
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 296/2703 [00:00<00:00, 2957.63it/s]


word -> phonemes:  22%|██▏       | 592/2703 [00:00<00:00, 2490.16it/s]


word -> phonemes:  33%|███▎      | 891/2703 [00:00<00:00, 2690.25it/s]


word -> phonemes:  44%|████▍     | 1186/2703 [00:00<00:00, 2751.52it/s]


word -> phonemes:  54%|█████▍    | 1465/2703 [00:00<00:00, 2731.81it/s]


word -> phonemes:  64%|██████▍   | 1741/2703 [00:00<00:00, 2603.57it/s]


word -> phonemes:  74%|███████▍  | 2004/2703 [00:00<00:00, 2584.66it/s]


word -> phonemes:  84%|████████▍ | 2276/2703 [00:00<00:00, 2623.24it/s]


word -> phonemes:  94%|█████████▍| 2552/2703 [00:00<00:00, 2664.38it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2650.55it/s]



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dev: 100%|██████████| 2703/2703 [02:02<00:00, 22.04it/s]

                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:58<00:00,  4.93it/s]

train:  14%|█▍        | 484/3515 [03:48<10:14,  4.93it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:58<00:00,  4.93it/s]

train:  14%|█▍        | 484/3515 [03:48<10:14,  4.93it/s]
overall: 100%|██████████| 4000/4000 [21:58<00:00, 34.05s/it]

train:  14%|█▍        | 485/3515 [03:48<28:39:44, 34.05s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:48<23:48,  2.12it/s]   

overall: 100%|██████████| 4000/4000 [21:58<00:00,  3.03it/s]
dev loss: 3.2912635803222656
dev per: 0.8196097814776274
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt