/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")
2023-09-23 01:01:45 | 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_encode_norm {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_test_8x_400k_encode_norm
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.


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word -> phonemes:  89%|████████▉ | 3128/3515 [00:01<00:00, 2215.82it/s]

word -> phonemes:  95%|█████████▌| 3351/3515 [00:01<00:00, 2182.74it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2074.93it/s]


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train:   4%|▍         | 138/3515 [00:30<11:02,  5.10it/s]
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train:   4%|▍         | 148/3515 [00:32<13:12,  4.25it/s]
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train:   4%|▍         | 149/3515 [00:32<13:15,  4.23it/s]
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train:   4%|▍         | 151/3515 [00:32<10:57,  5.11it/s]
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train:   4%|▍         | 152/3515 [00:32<11:06,  5.05it/s]
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train:   4%|▍         | 153/3515 [00:33<12:11,  4.60it/s]
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train:   4%|▍         | 154/3515 [00:33<12:01,  4.66it/s]
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train:   4%|▍         | 155/3515 [00:33<11:55,  4.69it/s]
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train:   4%|▍         | 156/3515 [00:33<10:11,  5.49it/s]
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train:   4%|▍         | 157/3515 [00:33<10:36,  5.27it/s]
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train:   4%|▍         | 158/3515 [00:34<10:55,  5.12it/s]
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train:   5%|▍         | 159/3515 [00:34<11:17,  4.95it/s]
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train:   5%|▍         | 160/3515 [00:34<11:28,  4.87it/s]
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train:   5%|▍         | 161/3515 [00:34<11:40,  4.79it/s]
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train:   5%|▍         | 162/3515 [00:35<11:33,  4.83it/s]
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train:   5%|▍         | 163/3515 [00:35<11:38,  4.80it/s]
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train:   5%|▍         | 164/3515 [00:35<11:38,  4.80it/s]
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train:   5%|▍         | 165/3515 [00:35<11:28,  4.86it/s]
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train:   5%|▍         | 166/3515 [00:35<11:35,  4.82it/s]
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train:   5%|▍         | 167/3515 [00:36<11:39,  4.79it/s]
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train:   5%|▍         | 168/3515 [00:36<12:04,  4.62it/s]
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train:   5%|▍         | 169/3515 [00:36<12:05,  4.61it/s]
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train:   5%|▍         | 170/3515 [00:36<11:50,  4.71it/s]
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train:   5%|▍         | 171/3515 [00:36<11:26,  4.87it/s]
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train:   5%|▍         | 172/3515 [00:37<13:42,  4.06it/s]
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train:   5%|▍         | 173/3515 [00:37<11:48,  4.72it/s]
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train:   5%|▍         | 174/3515 [00:37<11:41,  4.76it/s]
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train:   5%|▍         | 175/3515 [00:37<11:47,  4.72it/s]
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train:   5%|▌         | 176/3515 [00:38<11:54,  4.67it/s]
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train:   5%|▌         | 177/3515 [00:38<12:29,  4.45it/s]
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train:   5%|▌         | 178/3515 [00:38<12:20,  4.51it/s]
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train:   5%|▌         | 179/3515 [00:38<12:05,  4.60it/s]
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train:   5%|▌         | 180/3515 [00:38<11:57,  4.65it/s]
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train:   5%|▌         | 181/3515 [00:39<12:01,  4.62it/s]
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train:   5%|▌         | 182/3515 [00:39<11:51,  4.69it/s]
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train:   5%|▌         | 183/3515 [00:39<11:46,  4.72it/s]
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train:   5%|▌         | 184/3515 [00:39<10:25,  5.32it/s]
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train:   5%|▌         | 185/3515 [00:39<10:34,  5.24it/s]
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train:   5%|▌         | 186/3515 [00:40<11:06,  5.00it/s]
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train:   5%|▌         | 187/3515 [00:40<11:11,  4.95it/s]
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train:   5%|▌         | 188/3515 [00:40<11:05,  5.00it/s]
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train:   5%|▌         | 189/3515 [00:40<11:39,  4.76it/s]
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train:   5%|▌         | 190/3515 [00:40<11:40,  4.74it/s]
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train:   5%|▌         | 191/3515 [00:41<11:39,  4.75it/s]
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train:   5%|▌         | 192/3515 [00:41<11:55,  4.64it/s]
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train:   5%|▌         | 193/3515 [00:41<11:52,  4.66it/s]
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train:   6%|▌         | 194/3515 [00:41<11:46,  4.70it/s]
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overall:   9%|▉         | 375/4000 [01:23<10:41,  5.65it/s]

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overall:   9%|▉         | 378/4000 [01:24<11:55,  5.07it/s]

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overall:  10%|█         | 407/4000 [01:30<12:48,  4.68it/s]

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overall:  10%|█         | 409/4000 [01:31<12:33,  4.76it/s]

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overall:  10%|█         | 412/4000 [01:32<15:44,  3.80it/s]

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overall:  10%|█         | 413/4000 [01:32<14:27,  4.14it/s]

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overall:  10%|█         | 414/4000 [01:32<13:49,  4.32it/s]

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overall:  10%|█         | 417/4000 [01:32<11:16,  5.30it/s]

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overall:  10%|█         | 418/4000 [01:33<11:30,  5.18it/s]

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overall:  10%|█         | 419/4000 [01:33<11:49,  5.05it/s]

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overall:  10%|█         | 420/4000 [01:33<12:04,  4.94it/s]

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overall:  11%|█         | 421/4000 [01:33<12:04,  4.94it/s]

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overall:  11%|█         | 422/4000 [01:33<12:18,  4.85it/s]

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overall:  11%|█         | 423/4000 [01:34<12:26,  4.79it/s]

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overall:  11%|█         | 424/4000 [01:34<13:59,  4.26it/s]

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overall:  11%|█         | 426/4000 [01:34<13:01,  4.57it/s]

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overall:  11%|█         | 427/4000 [01:35<11:38,  5.11it/s]

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overall:  11%|█         | 428/4000 [01:35<11:57,  4.98it/s]

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overall:  11%|█         | 429/4000 [01:35<11:58,  4.97it/s]

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overall:  11%|█         | 431/4000 [01:35<12:35,  4.73it/s]

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overall:  11%|█         | 433/4000 [01:36<12:42,  4.68it/s]

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overall:  11%|█         | 434/4000 [01:36<12:54,  4.60it/s]

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overall:  11%|█         | 435/4000 [01:36<12:44,  4.66it/s]

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overall:  11%|█         | 436/4000 [01:37<15:35,  3.81it/s]

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overall:  11%|█         | 437/4000 [01:37<19:18,  3.08it/s]

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overall:  11%|█         | 438/4000 [01:37<17:03,  3.48it/s]

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overall:  11%|█         | 439/4000 [01:37<15:36,  3.80it/s]

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overall:  11%|█         | 443/4000 [01:38<12:21,  4.80it/s]

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overall:  11%|█         | 446/4000 [01:39<12:41,  4.67it/s]

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overall:  11%|█         | 447/4000 [01:39<12:38,  4.68it/s]

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overall:  11%|█         | 448/4000 [01:39<12:44,  4.65it/s]

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overall:  11%|█▏        | 452/4000 [01:40<12:22,  4.78it/s]

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overall:  11%|█▏        | 453/4000 [01:40<12:20,  4.79it/s]

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overall:  11%|█▏        | 454/4000 [01:41<12:20,  4.79it/s]

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overall:  13%|█▎        | 537/4000 [01:59<12:29,  4.62it/s]

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overall:  13%|█▎        | 538/4000 [01:59<10:53,  5.30it/s]

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overall:  13%|█▎        | 539/4000 [01:59<11:16,  5.12it/s]

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overall:  14%|█▎        | 540/4000 [01:59<11:38,  4.95it/s]

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overall:  14%|█▎        | 542/4000 [02:00<11:55,  4.83it/s]

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overall:  25%|██▍       | 987/4000 [03:36<10:35,  4.74it/s]

train:  28%|██▊       | 987/3515 [03:33<08:53,  4.74it/s]
overall:  25%|██▍       | 988/4000 [03:36<13:22,  3.75it/s]

train:  28%|██▊       | 988/3515 [03:33<11:13,  3.75it/s]
overall:  25%|██▍       | 989/4000 [03:36<12:10,  4.12it/s]

train:  28%|██▊       | 989/3515 [03:33<10:12,  4.12it/s]
overall:  25%|██▍       | 990/4000 [03:36<11:27,  4.38it/s]

train:  28%|██▊       | 990/3515 [03:33<09:36,  4.38it/s]
overall:  25%|██▍       | 991/4000 [03:37<11:54,  4.21it/s]

train:  28%|██▊       | 991/3515 [03:34<09:59,  4.21it/s]
overall:  25%|██▍       | 992/4000 [03:37<11:30,  4.36it/s]

train:  28%|██▊       | 992/3515 [03:34<09:39,  4.36it/s]
overall:  25%|██▍       | 993/4000 [03:37<11:18,  4.43it/s]

train:  28%|██▊       | 993/3515 [03:34<09:29,  4.43it/s]
overall:  25%|██▍       | 994/4000 [03:37<11:54,  4.20it/s]

train:  28%|██▊       | 994/3515 [03:34<09:59,  4.20it/s]
overall:  25%|██▍       | 995/4000 [03:38<11:36,  4.32it/s]

train:  28%|██▊       | 995/3515 [03:35<09:43,  4.32it/s]
overall:  25%|██▍       | 996/4000 [03:38<10:41,  4.69it/s]

train:  28%|██▊       | 996/3515 [03:35<08:57,  4.69it/s]
overall:  25%|██▍       | 997/4000 [03:38<11:33,  4.33it/s]

train:  28%|██▊       | 997/3515 [03:35<09:41,  4.33it/s]
overall:  25%|██▍       | 998/4000 [03:38<11:17,  4.43it/s]

train:  28%|██▊       | 998/3515 [03:35<09:28,  4.43it/s]
overall:  25%|██▍       | 999/4000 [03:38<10:46,  4.64it/s]

train:  28%|██▊       | 999/3515 [03:35<09:01,  4.64it/s]train loss: 7.432505130767822
train per: 0.8910289035921888
train loss: 5.193063259124756
train per: 0.9003094550011509
train loss: 4.50491189956665
train per: 0.91303896373595
train loss: 4.213468074798584
train per: 0.9321602281698032
train loss: 3.879371166229248
train per: 0.9947532153967591
train loss: 3.8880839347839355
train per: 0.9989244420543156
train loss: 3.792254686355591
train per: 0.9979022343643282
train loss: 3.7683639526367188
train per: 0.9921600935473583
train loss: 3.719773054122925
train per: 0.9984428981558076
train loss: 3.7095463275909424
train per: 0.9989038092628117
train loss: 3.7030301094055176
train per: 0.9991838024275296
train loss: 3.697350263595581
train per: 0.9992815380041621
train loss: 3.7463836669921875
train per: 0.9990346126677655
train loss: 3.706242322921753
train per: 0.9988802042507446
train loss: 3.665294647216797
train per: 0.9993407266134539
train loss: 3.7002811431884766
train per: 0.9979758026989297
train loss: 3.673809766769409
train per: 0.9980110159118727
train loss: 3.7106590270996094
train per: 0.9979026259123577
train loss: 3.6992392539978027
train per: 0.9979066244318965
train loss: 3.6855874061584473
train per: 0.997155228840441
train loss: 3.6716227531433105
train per: 0.9975831709783225
train loss: 3.7018229961395264
train per: 0.9973379542429494
train loss: 3.667520046234131
train per: 0.9971672010189292
train loss: 3.674314022064209
train per: 0.9963972619190585
train loss: 3.667807102203369
train per: 0.9963440189040974
train loss: 3.6866867542266846
train per: 0.9972369270497095
train loss: 3.682178020477295
train per: 0.9963278785488959
train loss: 3.6589272022247314
train per: 0.998063472535484
train loss: 3.685523509979248
train per: 0.9980916030534351
train loss: 3.669978618621826
train per: 0.9983355921725278
train loss: 3.691628932952881
train per: 0.9984629055887793
train loss: 3.6930344104766846
train per: 0.9975260863175427
train loss: 3.686753749847412
train per: 0.9989829359249632
train loss: 3.7063446044921875
train per: 0.9975572995166572
train loss: 3.733525514602661
train per: 0.9967835141470861
train loss: 3.7833495140075684
train per: 0.9959663276043493
train loss: 3.723405361175537
train per: 0.9977718360071302
train loss: 3.742511034011841
train per: 0.9989154013015185
train loss: 3.695044755935669
train per: 0.9973460461001622
train loss: 3.7124686241149902
train per: 0.9975473593235383
train loss: 3.7717106342315674
train per: 0.9966904951019327
train loss: 3.7879385948181152
train per: 0.9973783385220384
train loss: 3.7229888439178467
train per: 0.9982809493264914
train loss: 3.7080111503601074
train per: 0.9989894141128319
train loss: 3.7340927124023438
train per: 0.9978049703544847
train loss: 3.712510585784912
train per: 0.998376771833562
train loss: 3.737330913543701
train per: 0.9985263702171665
train loss: 3.7503440380096436
train per: 0.9956804621905456
train loss: 3.7436091899871826
train per: 0.9970410754642249
train loss: 3.7075881958007812
train per: 0.998591792870025
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 223/2703 [00:00<00:01, 2228.12it/s]


word -> phonemes:  17%|█▋        | 446/2703 [00:00<00:01, 1955.43it/s]


word -> phonemes:  24%|██▍       | 644/2703 [00:00<00:01, 1658.58it/s]


word -> phonemes:  32%|███▏      | 853/2703 [00:00<00:01, 1803.02it/s]


word -> phonemes:  40%|████      | 1092/2703 [00:00<00:00, 1992.99it/s]


word -> phonemes:  48%|████▊     | 1297/2703 [00:00<00:00, 1983.59it/s]


word -> phonemes:  58%|█████▊    | 1566/2703 [00:00<00:00, 2201.78it/s]


word -> phonemes:  68%|██████▊   | 1849/2703 [00:00<00:00, 2392.67it/s]


word -> phonemes:  77%|███████▋  | 2092/2703 [00:00<00:00, 2352.77it/s]


word -> phonemes:  89%|████████▊ | 2393/2703 [00:01<00:00, 2547.96it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2294.81it/s]



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overall:  48%|████▊     | 1932/4000 [08:42<07:02,  4.90it/s]

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overall:  48%|████▊     | 1933/4000 [08:43<07:13,  4.76it/s]

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overall:  48%|████▊     | 1934/4000 [08:43<07:16,  4.74it/s]

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train:  55%|█████▌    | 1943/3515 [08:42<05:47,  4.53it/s]
overall:  49%|████▊     | 1945/4000 [08:45<06:36,  5.18it/s]

train:  55%|█████▌    | 1945/3515 [08:42<05:03,  5.18it/s]
overall:  49%|████▊     | 1946/4000 [08:45<06:48,  5.03it/s]

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overall:  49%|████▊     | 1948/4000 [08:46<06:05,  5.61it/s]

train:  55%|█████▌    | 1948/3515 [08:43<04:39,  5.61it/s]
overall:  49%|████▊     | 1949/4000 [08:46<07:43,  4.42it/s]

train:  55%|█████▌    | 1949/3515 [08:43<05:54,  4.42it/s]
overall:  49%|████▉     | 1950/4000 [08:46<07:40,  4.45it/s]

train:  55%|█████▌    | 1950/3515 [08:43<05:51,  4.45it/s]
overall:  49%|████▉     | 1951/4000 [08:46<07:33,  4.51it/s]

train:  56%|█████▌    | 1951/3515 [08:43<05:46,  4.51it/s]
overall:  49%|████▉     | 1952/4000 [08:47<07:30,  4.54it/s]

train:  56%|█████▌    | 1952/3515 [08:44<05:44,  4.54it/s]
overall:  49%|████▉     | 1953/4000 [08:47<07:33,  4.52it/s]

train:  56%|█████▌    | 1953/3515 [08:44<05:45,  4.52it/s]
overall:  49%|████▉     | 1954/4000 [08:47<07:32,  4.52it/s]

train:  56%|█████▌    | 1954/3515 [08:44<05:45,  4.52it/s]
overall:  49%|████▉     | 1955/4000 [08:47<07:15,  4.70it/s]

train:  56%|█████▌    | 1955/3515 [08:44<05:32,  4.70it/s]
overall:  49%|████▉     | 1956/4000 [08:48<07:05,  4.81it/s]

train:  56%|█████▌    | 1956/3515 [08:45<05:24,  4.81it/s]
overall:  49%|████▉     | 1957/4000 [08:48<07:07,  4.78it/s]

train:  56%|█████▌    | 1957/3515 [08:45<05:25,  4.78it/s]
overall:  49%|████▉     | 1958/4000 [08:48<07:08,  4.77it/s]

train:  56%|█████▌    | 1958/3515 [08:45<05:26,  4.77it/s]
overall:  49%|████▉     | 1959/4000 [08:48<07:05,  4.79it/s]

train:  56%|█████▌    | 1959/3515 [08:45<05:24,  4.79it/s]
overall:  49%|████▉     | 1960/4000 [08:48<07:04,  4.81it/s]

train:  56%|█████▌    | 1960/3515 [08:45<05:23,  4.81it/s]
overall:  49%|████▉     | 1961/4000 [08:49<07:06,  4.78it/s]

train:  56%|█████▌    | 1961/3515 [08:46<05:25,  4.78it/s]
overall:  49%|████▉     | 1962/4000 [08:49<07:09,  4.74it/s]

train:  56%|█████▌    | 1962/3515 [08:46<05:27,  4.74it/s]
overall:  49%|████▉     | 1963/4000 [08:49<09:05,  3.74it/s]

train:  56%|█████▌    | 1963/3515 [08:46<06:55,  3.74it/s]
overall:  49%|████▉     | 1964/4000 [08:49<08:20,  4.06it/s]

train:  56%|█████▌    | 1964/3515 [08:46<06:21,  4.06it/s]
overall:  49%|████▉     | 1965/4000 [08:50<07:59,  4.24it/s]

train:  56%|█████▌    | 1965/3515 [08:47<06:05,  4.24it/s]
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train:  56%|█████▌    | 1966/3515 [08:47<05:47,  4.46it/s]
overall:  49%|████▉     | 1967/4000 [08:50<07:10,  4.72it/s]

train:  56%|█████▌    | 1967/3515 [08:47<05:28,  4.72it/s]
overall:  49%|████▉     | 1968/4000 [08:50<06:49,  4.96it/s]

train:  56%|█████▌    | 1968/3515 [08:47<05:11,  4.96it/s]
overall:  49%|████▉     | 1969/4000 [08:50<06:59,  4.84it/s]

train:  56%|█████▌    | 1969/3515 [08:47<05:19,  4.84it/s]
overall:  49%|████▉     | 1970/4000 [08:51<07:10,  4.72it/s]

train:  56%|█████▌    | 1970/3515 [08:48<05:27,  4.72it/s]
overall:  49%|████▉     | 1971/4000 [08:51<07:12,  4.69it/s]

train:  56%|█████▌    | 1971/3515 [08:48<05:29,  4.69it/s]
overall:  49%|████▉     | 1972/4000 [08:51<07:06,  4.76it/s]

train:  56%|█████▌    | 1972/3515 [08:48<05:24,  4.76it/s]
overall:  49%|████▉     | 1973/4000 [08:51<09:00,  3.75it/s]

train:  56%|█████▌    | 1973/3515 [08:48<06:50,  3.75it/s]
overall:  49%|████▉     | 1974/4000 [08:52<08:36,  3.92it/s]

train:  56%|█████▌    | 1974/3515 [08:49<06:33,  3.92it/s]
overall:  49%|████▉     | 1975/4000 [08:52<08:13,  4.11it/s]

train:  56%|█████▌    | 1975/3515 [08:49<06:15,  4.11it/s]
overall:  49%|████▉     | 1976/4000 [08:52<07:45,  4.35it/s]

train:  56%|█████▌    | 1976/3515 [08:49<05:53,  4.35it/s]
overall:  49%|████▉     | 1977/4000 [08:52<07:47,  4.33it/s]

train:  56%|█████▌    | 1977/3515 [08:49<05:55,  4.33it/s]
overall:  49%|████▉     | 1978/4000 [08:52<07:25,  4.54it/s]

train:  56%|█████▋    | 1978/3515 [08:50<05:38,  4.54it/s]
overall:  49%|████▉     | 1979/4000 [08:53<06:58,  4.83it/s]

train:  56%|█████▋    | 1979/3515 [08:50<05:17,  4.83it/s]
overall:  50%|████▉     | 1980/4000 [08:53<07:05,  4.75it/s]

train:  56%|█████▋    | 1980/3515 [08:50<05:23,  4.75it/s]
overall:  50%|████▉     | 1981/4000 [08:53<06:26,  5.22it/s]

train:  56%|█████▋    | 1981/3515 [08:50<04:53,  5.22it/s]
overall:  50%|████▉     | 1982/4000 [08:53<06:28,  5.20it/s]

train:  56%|█████▋    | 1982/3515 [08:50<04:54,  5.20it/s]
overall:  50%|████▉     | 1984/4000 [08:54<05:51,  5.74it/s]

train:  56%|█████▋    | 1984/3515 [08:51<04:26,  5.74it/s]
overall:  50%|████▉     | 1985/4000 [08:54<06:08,  5.47it/s]

train:  56%|█████▋    | 1985/3515 [08:51<04:39,  5.47it/s]
overall:  50%|████▉     | 1986/4000 [08:54<05:34,  6.03it/s]

train:  57%|█████▋    | 1986/3515 [08:51<04:13,  6.03it/s]
overall:  50%|████▉     | 1987/4000 [08:54<07:37,  4.40it/s]

train:  57%|█████▋    | 1987/3515 [08:51<05:46,  4.40it/s]
overall:  50%|████▉     | 1988/4000 [08:54<07:33,  4.44it/s]

train:  57%|█████▋    | 1988/3515 [08:51<05:43,  4.44it/s]
overall:  50%|████▉     | 1989/4000 [08:55<07:25,  4.51it/s]

train:  57%|█████▋    | 1989/3515 [08:52<05:38,  4.51it/s]
overall:  50%|████▉     | 1990/4000 [08:55<07:24,  4.53it/s]

train:  57%|█████▋    | 1990/3515 [08:52<05:37,  4.53it/s]
overall:  50%|████▉     | 1991/4000 [08:55<07:23,  4.53it/s]

train:  57%|█████▋    | 1991/3515 [08:52<05:36,  4.53it/s]
overall:  50%|████▉     | 1992/4000 [08:55<06:24,  5.23it/s]

train:  57%|█████▋    | 1992/3515 [08:52<04:51,  5.23it/s]
overall:  50%|████▉     | 1993/4000 [08:55<06:36,  5.06it/s]

train:  57%|█████▋    | 1993/3515 [08:52<05:00,  5.06it/s]
overall:  50%|████▉     | 1994/4000 [08:56<06:39,  5.03it/s]

train:  57%|█████▋    | 1994/3515 [08:53<05:02,  5.03it/s]
overall:  50%|████▉     | 1995/4000 [08:56<06:46,  4.93it/s]

train:  57%|█████▋    | 1995/3515 [08:53<05:08,  4.93it/s]
overall:  50%|████▉     | 1996/4000 [08:56<06:45,  4.94it/s]

train:  57%|█████▋    | 1996/3515 [08:53<05:07,  4.94it/s]
overall:  50%|████▉     | 1997/4000 [08:56<08:25,  3.96it/s]

train:  57%|█████▋    | 1997/3515 [08:53<06:23,  3.96it/s]
overall:  50%|████▉     | 1998/4000 [08:57<07:58,  4.18it/s]

train:  57%|█████▋    | 1998/3515 [08:54<06:02,  4.18it/s]
overall:  50%|████▉     | 1999/4000 [08:57<07:35,  4.40it/s]

train:  57%|█████▋    | 1999/3515 [08:54<05:44,  4.40it/s]dev loss: 3.798189401626587
dev per: 0.9962955254942768
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.711945056915283
train per: 0.9984590901053376
train loss: 3.724595546722412
train per: 0.997894406033941
train loss: 3.706511974334717
train per: 0.9974922487689222
train loss: 3.7279720306396484
train per: 0.9982440492781092
train loss: 3.7046127319335938
train per: 0.9987081891580162
train loss: 3.7059261798858643
train per: 0.9985010305415027
train loss: 3.6961371898651123
train per: 0.9978750971754341
train loss: 3.682748317718506
train per: 0.9988446275179585
train loss: 3.711207866668701
train per: 0.9985701348839426
train loss: 3.734358310699463
train per: 0.9980960826247979
train loss: 3.6686179637908936
train per: 0.99734760246327
train loss: 3.680302143096924
train per: 0.9978261919714023
train loss: 3.693615674972534
train per: 0.9987344975955454
train loss: 3.6949591636657715
train per: 0.9987516644474035
train loss: 3.6602606773376465
train per: 0.9984865955606803
train loss: 3.6722652912139893
train per: 0.9987093946330298
train loss: 3.667625904083252
train per: 0.9986804686611307
train loss: 3.7120959758758545
train per: 0.9983800240203335
train loss: 3.692883253097534
train per: 0.998314446490159
train loss: 3.677102565765381
train per: 0.9987316960682578
train loss: 3.668300151824951
train per: 0.9988960035327887
train loss: 3.6939327716827393
train per: 0.9989498107216999
train loss: 3.680736541748047
train per: 0.9985167527479804
train loss: 3.6719017028808594
train per: 0.9987649629488885
train loss: 3.7137649059295654
train per: 0.997351862199655
train loss: 3.675755262374878
train per: 0.9985986675855731
train loss: 3.722482204437256
train per: 0.9980815995676844
train loss: 3.684471845626831
train per: 0.9988169880515794
train loss: 3.687356948852539
train per: 0.998456898365715
train loss: 3.67358136177063
train per: 0.9985226405338192
train loss: 3.7107322216033936
train per: 0.9987687572143132
train loss: 3.7076621055603027
train per: 0.99815179591936
train loss: 3.717402935028076
train per: 0.998570110701107
train loss: 3.701328754425049
train per: 0.9985943569822122
train loss: 3.7002499103546143
train per: 0.9982621708382612
train loss: 3.7293667793273926
train per: 0.9983107598564146
train loss: 3.7103683948516846
train per: 0.9977967721384583
train loss: 3.6948459148406982
train per: 0.9969476635977864
train loss: 3.7055420875549316
train per: 0.9977674925129322
train loss: 3.7014739513397217
train per: 0.9986827509706045
train loss: 3.6833388805389404
train per: 0.9986737400530504
train loss: 3.7600815296173096
train per: 0.9981998662757805
train loss: 3.7803235054016113
train per: 0.9862079267078271
train loss: 3.7330222129821777
train per: 0.979695687222894
train loss: 3.710580825805664
train per: 0.9968660770248624
train loss: 3.7259299755096436
train per: 0.9979115906717717
train loss: 3.7061409950256348
train per: 0.9975978207033185
train loss: 3.72753643989563
train per: 0.997774996523432
train loss: 3.707106113433838
train per: 0.9983318240312664
train loss: 3.7128283977508545
train per: 0.9986445600871354
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 292/2703 [00:00<00:00, 2917.05it/s]


word -> phonemes:  22%|██▏       | 584/2703 [00:00<00:00, 2460.23it/s]


word -> phonemes:  31%|███       | 835/2703 [00:00<00:01, 1134.24it/s]


word -> phonemes:  40%|███▉      | 1079/2703 [00:00<00:01, 1411.36it/s]


word -> phonemes:  49%|████▉     | 1318/2703 [00:00<00:00, 1639.21it/s]


word -> phonemes:  59%|█████▊    | 1587/2703 [00:00<00:00, 1901.22it/s]


word -> phonemes:  71%|███████   | 1912/2703 [00:01<00:00, 2254.26it/s]


word -> phonemes:  80%|████████  | 2174/2703 [00:01<00:00, 2327.63it/s]


word -> phonemes:  90%|█████████ | 2433/2703 [00:01<00:00, 2296.40it/s]


word -> phonemes:  99%|█████████▉| 2681/2703 [00:01<00:00, 2197.46it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1965.42it/s]



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


dev:   0%|          | 1/2703 [00:01<1:00:14,  1.34s/it]


dev:   0%|          | 3/2703 [00:01<18:11,  2.47it/s]  


dev:   0%|          | 5/2703 [00:01<10:10,  4.42it/s]


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dev:   0%|          | 9/2703 [00:01<05:35,  8.03it/s]


dev:   0%|          | 11/2703 [00:01<04:31,  9.93it/s]


dev:   0%|          | 13/2703 [00:02<03:52, 11.56it/s]


dev:   1%|          | 15/2703 [00:02<03:32, 12.65it/s]


dev:   1%|          | 17/2703 [00:02<03:16, 13.66it/s]


dev:   1%|          | 19/2703 [00:02<03:02, 14.68it/s]


dev:   1%|          | 21/2703 [00:02<02:55, 15.24it/s]


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dev:   1%|          | 27/2703 [00:02<02:48, 15.86it/s]


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dev:   1%|          | 31/2703 [00:03<02:53, 15.42it/s]


dev:   1%|          | 33/2703 [00:03<02:56, 15.17it/s]


dev:   1%|▏         | 35/2703 [00:03<02:45, 16.14it/s]


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dev:   1%|▏         | 39/2703 [00:03<02:38, 16.79it/s]


dev:   2%|▏         | 42/2703 [00:03<02:34, 17.21it/s]


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dev:   2%|▏         | 46/2703 [00:04<02:32, 17.46it/s]


dev:   2%|▏         | 48/2703 [00:04<02:28, 17.83it/s]


dev:   2%|▏         | 51/2703 [00:04<02:20, 18.87it/s]


dev:   2%|▏         | 53/2703 [00:04<02:24, 18.34it/s]


dev:   2%|▏         | 55/2703 [00:04<02:25, 18.23it/s]


dev:   2%|▏         | 57/2703 [00:04<02:24, 18.31it/s]


dev:   2%|▏         | 59/2703 [00:04<02:23, 18.41it/s]


dev:   2%|▏         | 62/2703 [00:04<02:18, 19.10it/s]


dev:   2%|▏         | 64/2703 [00:05<02:17, 19.19it/s]


dev:   2%|▏         | 66/2703 [00:05<02:27, 17.88it/s]


dev:   3%|▎         | 68/2703 [00:05<02:30, 17.49it/s]


dev:   3%|▎         | 70/2703 [00:05<02:27, 17.91it/s]


dev:   3%|▎         | 72/2703 [00:05<02:25, 18.10it/s]


dev:   3%|▎         | 75/2703 [00:05<02:18, 18.96it/s]


dev:   3%|▎         | 78/2703 [00:05<02:17, 19.12it/s]


dev:   3%|▎         | 80/2703 [00:05<02:20, 18.60it/s]


dev:   3%|▎         | 82/2703 [00:06<02:23, 18.30it/s]


dev:   3%|▎         | 85/2703 [00:06<02:18, 18.90it/s]


dev:   3%|▎         | 88/2703 [00:06<02:16, 19.16it/s]


dev:   3%|▎         | 90/2703 [00:06<02:16, 19.13it/s]


dev:   3%|▎         | 92/2703 [00:06<02:21, 18.51it/s]


dev:   3%|▎         | 94/2703 [00:06<02:18, 18.84it/s]


dev:   4%|▎         | 96/2703 [00:06<02:21, 18.37it/s]


dev:   4%|▎         | 98/2703 [00:06<02:22, 18.29it/s]


dev:   4%|▎         | 100/2703 [00:06<02:22, 18.22it/s]


dev:   4%|▍         | 103/2703 [00:07<02:16, 18.99it/s]


dev:   4%|▍         | 105/2703 [00:07<02:23, 18.09it/s]


dev:   4%|▍         | 107/2703 [00:07<02:26, 17.78it/s]


dev:   4%|▍         | 109/2703 [00:07<02:23, 18.06it/s]


dev:   4%|▍         | 112/2703 [00:07<02:15, 19.14it/s]


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dev:   5%|▍         | 126/2703 [00:08<02:26, 17.62it/s]


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dev:   5%|▍         | 134/2703 [00:08<02:15, 19.00it/s]


dev:   5%|▌         | 136/2703 [00:08<02:15, 18.91it/s]


dev:   5%|▌         | 139/2703 [00:09<02:13, 19.21it/s]


dev:   5%|▌         | 141/2703 [00:09<02:14, 19.05it/s]


dev:   5%|▌         | 143/2703 [00:09<02:16, 18.77it/s]


dev:   5%|▌         | 145/2703 [00:09<02:15, 18.91it/s]


dev:   5%|▌         | 148/2703 [00:09<02:07, 20.05it/s]


dev:   6%|▌         | 150/2703 [00:09<02:13, 19.12it/s]


dev:   6%|▌         | 152/2703 [00:09<02:11, 19.35it/s]


dev:   6%|▌         | 155/2703 [00:09<02:09, 19.73it/s]


dev:   6%|▌         | 158/2703 [00:10<02:03, 20.58it/s]


dev:   6%|▌         | 161/2703 [00:10<02:03, 20.57it/s]


dev:   6%|▌         | 164/2703 [00:10<02:09, 19.60it/s]


dev:   6%|▌         | 167/2703 [00:10<02:08, 19.68it/s]


dev:   6%|▋         | 170/2703 [00:10<02:02, 20.66it/s]


dev:   6%|▋         | 173/2703 [00:10<01:58, 21.33it/s]


dev:   7%|▋         | 176/2703 [00:10<02:03, 20.39it/s]


dev:   7%|▋         | 179/2703 [00:11<02:01, 20.71it/s]


dev:   7%|▋         | 182/2703 [00:11<02:04, 20.21it/s]


dev:   7%|▋         | 185/2703 [00:11<02:00, 20.87it/s]


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overall:  74%|███████▍  | 2971/4000 [14:22<03:21,  5.11it/s]

train:  85%|████████▍ | 2971/3515 [14:19<01:46,  5.11it/s]
overall:  74%|███████▍  | 2972/4000 [14:23<03:27,  4.97it/s]

train:  85%|████████▍ | 2972/3515 [14:20<01:49,  4.97it/s]
overall:  74%|███████▍  | 2973/4000 [14:23<03:26,  4.97it/s]

train:  85%|████████▍ | 2973/3515 [14:20<01:49,  4.97it/s]
overall:  74%|███████▍  | 2974/4000 [14:23<03:24,  5.03it/s]

train:  85%|████████▍ | 2974/3515 [14:20<01:47,  5.03it/s]
overall:  74%|███████▍  | 2975/4000 [14:23<03:31,  4.84it/s]

train:  85%|████████▍ | 2975/3515 [14:20<01:51,  4.84it/s]
overall:  74%|███████▍  | 2976/4000 [14:23<03:28,  4.90it/s]

train:  85%|████████▍ | 2976/3515 [14:20<01:49,  4.90it/s]
overall:  74%|███████▍  | 2977/4000 [14:24<03:32,  4.82it/s]

train:  85%|████████▍ | 2977/3515 [14:21<01:51,  4.82it/s]
overall:  74%|███████▍  | 2978/4000 [14:24<03:35,  4.75it/s]

train:  85%|████████▍ | 2978/3515 [14:21<01:53,  4.74it/s]
overall:  74%|███████▍  | 2979/4000 [14:24<03:35,  4.73it/s]

train:  85%|████████▍ | 2979/3515 [14:21<01:53,  4.73it/s]
overall:  74%|███████▍  | 2980/4000 [14:24<04:08,  4.11it/s]

train:  85%|████████▍ | 2980/3515 [14:21<02:10,  4.11it/s]
overall:  75%|███████▍  | 2981/4000 [14:25<03:44,  4.53it/s]

train:  85%|████████▍ | 2981/3515 [14:22<01:57,  4.53it/s]
overall:  75%|███████▍  | 2982/4000 [14:25<03:09,  5.37it/s]

train:  85%|████████▍ | 2982/3515 [14:22<01:39,  5.37it/s]
overall:  75%|███████▍  | 2983/4000 [14:25<03:17,  5.14it/s]

train:  85%|████████▍ | 2983/3515 [14:22<01:43,  5.14it/s]
overall:  75%|███████▍  | 2984/4000 [14:25<03:16,  5.16it/s]

train:  85%|████████▍ | 2984/3515 [14:22<01:42,  5.16it/s]
overall:  75%|███████▍  | 2985/4000 [14:25<03:23,  4.99it/s]

train:  85%|████████▍ | 2985/3515 [14:22<01:46,  4.99it/s]
overall:  75%|███████▍  | 2986/4000 [14:25<03:23,  4.98it/s]

train:  85%|████████▍ | 2986/3515 [14:23<01:46,  4.98it/s]
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train:  85%|████████▍ | 2987/3515 [14:23<01:45,  5.00it/s]
overall:  75%|███████▍  | 2988/4000 [14:26<03:56,  4.28it/s]

train:  85%|████████▌ | 2988/3515 [14:23<02:03,  4.28it/s]
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train:  85%|████████▌ | 2989/3515 [14:23<02:00,  4.37it/s]
overall:  75%|███████▍  | 2990/4000 [14:26<03:52,  4.34it/s]

train:  85%|████████▌ | 2990/3515 [14:23<02:00,  4.34it/s]
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train:  85%|████████▌ | 2991/3515 [14:24<01:52,  4.67it/s]
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train:  85%|████████▌ | 2992/3515 [14:24<01:51,  4.69it/s]
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train:  85%|████████▌ | 2993/3515 [14:24<01:50,  4.73it/s]
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train:  85%|████████▌ | 2994/3515 [14:24<01:48,  4.82it/s]
overall:  75%|███████▍  | 2995/4000 [14:27<03:31,  4.75it/s]

train:  85%|████████▌ | 2995/3515 [14:25<01:49,  4.75it/s]
overall:  75%|███████▍  | 2996/4000 [14:28<03:34,  4.69it/s]

train:  85%|████████▌ | 2996/3515 [14:25<01:50,  4.69it/s]
overall:  75%|███████▍  | 2997/4000 [14:28<03:34,  4.67it/s]

train:  85%|████████▌ | 2997/3515 [14:25<01:50,  4.67it/s]
overall:  75%|███████▍  | 2998/4000 [14:28<03:29,  4.79it/s]

train:  85%|████████▌ | 2998/3515 [14:25<01:48,  4.79it/s]
overall:  75%|███████▍  | 2999/4000 [14:28<03:34,  4.67it/s]

train:  85%|████████▌ | 2999/3515 [14:25<01:50,  4.67it/s]dev loss: 3.761735439300537
dev per: 0.9972268470343393
train loss: 3.7134342193603516
train per: 0.9987076276890767
train loss: 3.7147750854492188
train per: 0.9987333406762859
train loss: 3.7036468982696533
train per: 0.9972023548873644
train loss: 3.695962429046631
train per: 0.9986787466968667
train loss: 3.6804099082946777
train per: 0.9987277988425464
train loss: 3.6911849975585938
train per: 0.9988756568229274
train loss: 3.6788711547851562
train per: 0.9991322498182416
train loss: 3.694788694381714
train per: 0.9989008363201911
train loss: 3.6869900226593018
train per: 0.9987830404517354
train loss: 3.688218355178833
train per: 0.9992619574792276
train loss: 3.672076463699341
train per: 0.9988802037590023
train loss: 3.6971867084503174
train per: 0.9988272486232919
train loss: 3.7099952697753906
train per: 0.9987435842600513
train loss: 3.6921794414520264
train per: 0.9974038578187553
train loss: 3.701082706451416
train per: 0.9970212765957447
train loss: 3.6999828815460205
train per: 0.9973244835481464
train loss: 3.6994552612304688
train per: 0.9981338555465961
train loss: 3.7440571784973145
train per: 0.9992328542934588
train loss: 3.701819658279419
train per: 0.9983589011773101
train loss: 3.703280210494995
train per: 0.9972409169438643
train loss: 3.7389824390411377
train per: 0.9986406524868063
train loss: 3.7351303100585938
train per: 0.9973122082331306
train loss: 3.70703387260437
train per: 0.9982586277081732
train loss: 3.7168049812316895
train per: 0.9983447568424488
train loss: 3.7331626415252686
train per: 0.9985527444253859
train loss: 3.67506742477417
train per: 0.9982844071673657
train loss: 3.687380313873291
train per: 0.999150001180554
train loss: 3.6749706268310547
train per: 0.9983452443762291
train loss: 3.6964097023010254
train per: 0.9985379392377459
train loss: 3.6964542865753174
train per: 0.9989991583831859
train loss: 3.703026533126831
train per: 0.9984973285841496
train loss: 3.713341236114502
train per: 0.9977020990937492
train loss: 3.6767210960388184
train per: 0.9985784199487299
train loss: 3.6984238624572754
train per: 0.9989222787538535
train loss: 3.706242084503174
train per: 0.9978283621140764
train loss: 3.7088770866394043
train per: 0.9979595213147301
train loss: 3.7148070335388184
train per: 0.998964369374923
train loss: 3.6950626373291016
train per: 0.9950241683252772
train loss: 3.7022643089294434
train per: 0.9990188799321171
train loss: 3.7299704551696777
train per: 0.999124627966886
train loss: 3.7180442810058594
train per: 0.9983592701238005
train loss: 3.7297916412353516
train per: 0.9985308778005142
train loss: 3.747572422027588
train per: 0.9978369428792694
train loss: 3.7229361534118652
train per: 0.9984274937897399
train loss: 3.760113477706909
train per: 0.9983953620787825
train loss: 3.7802722454071045
train per: 0.9982752155980502
train loss: 3.7557036876678467
train per: 0.9966281449033113
train loss: 3.7154312133789062
train per: 0.9980306494329628
train loss: 3.7242393493652344
train per: 0.9993436166721366
train loss: 3.754206895828247
train per: 0.9865864483676892
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 322/2703 [00:00<00:00, 3218.12it/s]


word -> phonemes:  24%|██▍       | 646/2703 [00:00<00:00, 3228.42it/s]


word -> phonemes:  36%|███▌      | 969/2703 [00:00<00:00, 3016.44it/s]


word -> phonemes:  47%|████▋     | 1273/2703 [00:00<00:00, 2981.36it/s]


word -> phonemes:  58%|█████▊    | 1572/2703 [00:00<00:00, 2968.37it/s]


word -> phonemes:  71%|███████   | 1910/2703 [00:00<00:00, 3102.53it/s]


word -> phonemes:  82%|████████▏ | 2221/2703 [00:00<00:00, 3072.89it/s]


word -> phonemes:  94%|█████████▎| 2529/2703 [00:00<00:00, 3064.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2979.61it/s]



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train: 100%|██████████| 3515/3515 [18:10<00:00,  4.94it/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 [18:10<00:00,  3.22it/s]
dev loss: 3.814378023147583
dev per: 0.9945265348595214
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.69244647026062
train per: 0.9991237952184253
train loss: 3.711374282836914
train per: 0.9987991921838327
train loss: 3.676734447479248
train per: 0.9993915498442367
train loss: 3.672686815261841
train per: 0.999369927919754
train loss: 3.672555446624756
train per: 0.9998106374417118
train loss: 3.6808993816375732
train per: 0.999314512034122
train loss: 3.684060573577881
train per: 0.9989422253563693
train loss: 3.6968796253204346
train per: 0.9988953195168223
train loss: 3.7239861488342285
train per: 0.9987052760002988
train loss: 3.6891894340515137
train per: 0.998597308734725
train loss: 3.723360061645508
train per: 0.9974170857032946
train loss: 3.7106986045837402
train per: 0.9992933028668347
train loss: 3.708576202392578
train per: 0.9992451880739716
train loss: 3.7029385566711426
train per: 0.9987391131762673
train loss: 3.7121894359588623
train per: 0.9994603081150034
train loss: 3.692117691040039
train per: 0.9994529415787194
train loss: 3.695246458053589
train per: 0.9993593263774483
train loss: 3.7192916870117188
train per: 0.9996072887213321
train loss: 3.737658739089966
train per: 0.9973903416280051
train loss: 3.753800868988037
train per: 0.9975004075422486
train loss: 3.8016438484191895
train per: 0.9969460188191273
train loss: 3.7665913105010986
train per: 0.9906636582898934
train loss: 3.7716660499572754
train per: 0.9984718607483107
train loss: 3.7705516815185547
train per: 0.9981442992874109
train loss: 3.794365406036377
train per: 0.9966224993504806
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   6%|▌         | 206/3515 [00:00<00:01, 1984.78it/s]

word -> phonemes:  12%|█▏        | 405/3515 [00:00<00:01, 1841.49it/s]

word -> phonemes:  17%|█▋        | 594/3515 [00:00<00:01, 1850.44it/s]

word -> phonemes:  22%|██▏       | 780/3515 [00:00<00:01, 1647.32it/s]

word -> phonemes:  29%|██▊       | 1005/3515 [00:00<00:01, 1842.71it/s]

word -> phonemes:  36%|███▌      | 1252/3515 [00:00<00:01, 2041.31it/s]

word -> phonemes:  42%|████▏     | 1461/3515 [00:00<00:01, 1919.10it/s]

word -> phonemes:  49%|████▊     | 1710/3515 [00:00<00:00, 2085.18it/s]

word -> phonemes:  55%|█████▍    | 1923/3515 [00:00<00:00, 2058.89it/s]

word -> phonemes:  63%|██████▎   | 2221/3515 [00:01<00:00, 2327.89it/s]

word -> phonemes:  70%|██████▉   | 2458/3515 [00:01<00:00, 2246.47it/s]

word -> phonemes:  78%|███████▊  | 2727/3515 [00:01<00:00, 2373.29it/s]

word -> phonemes:  84%|████████▍ | 2967/3515 [00:01<00:00, 2279.85it/s]

word -> phonemes:  91%|█████████ | 3206/3515 [00:01<00:00, 2308.93it/s]

word -> phonemes:  99%|█████████▊| 3466/3515 [00:01<00:00, 2392.60it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2157.85it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:18<12:40,  1.57s/it]

train:   0%|          | 1/3515 [00:01<1:41:51,  1.74s/it]
overall:  88%|████████▊ | 3517/4000 [18:18<09:08,  1.13s/it]

train:   0%|          | 2/3515 [00:01<45:55,  1.27it/s]  
overall:  88%|████████▊ | 3518/4000 [18:18<06:55,  1.16it/s]

train:   0%|          | 3/3515 [00:02<31:00,  1.89it/s]
overall:  88%|████████▊ | 3519/4000 [18:18<05:34,  1.44it/s]

train:   0%|          | 4/3515 [00:02<25:49,  2.27it/s]
overall:  88%|████████▊ | 3520/4000 [18:19<04:19,  1.85it/s]

train:   0%|          | 5/3515 [00:02<20:21,  2.87it/s]
overall:  88%|████████▊ | 3521/4000 [18:19<03:26,  2.32it/s]

train:   0%|          | 6/3515 [00:02<16:52,  3.47it/s]
overall:  88%|████████▊ | 3522/4000 [18:19<02:39,  3.00it/s]

train:   0%|          | 7/3515 [00:02<13:20,  4.38it/s]
overall:  88%|████████▊ | 3523/4000 [18:19<02:23,  3.32it/s]

train:   0%|          | 8/3515 [00:03<13:17,  4.40it/s]
overall:  88%|████████▊ | 3524/4000 [18:19<02:11,  3.61it/s]

train:   0%|          | 9/3515 [00:03<13:11,  4.43it/s]
overall:  88%|████████▊ | 3525/4000 [18:20<01:57,  4.05it/s]

train:   0%|          | 10/3515 [00:03<12:18,  4.74it/s]
overall:  88%|████████▊ | 3527/4000 [18:20<01:37,  4.84it/s]

train:   0%|          | 12/3515 [00:03<10:53,  5.36it/s]
overall:  88%|████████▊ | 3528/4000 [18:20<01:43,  4.55it/s]

train:   0%|          | 13/3515 [00:04<11:57,  4.88it/s]
overall:  88%|████████▊ | 3529/4000 [18:20<01:43,  4.54it/s]

train:   0%|          | 14/3515 [00:04<12:13,  4.77it/s]
overall:  88%|████████▊ | 3530/4000 [18:21<01:41,  4.65it/s]

train:   0%|          | 15/3515 [00:04<12:04,  4.83it/s]
overall:  88%|████████▊ | 3531/4000 [18:21<01:51,  4.20it/s]

train:   0%|          | 16/3515 [00:04<13:33,  4.30it/s]
overall:  88%|████████▊ | 3532/4000 [18:21<01:49,  4.27it/s]

train:   0%|          | 17/3515 [00:04<13:24,  4.35it/s]
overall:  88%|████████▊ | 3533/4000 [18:21<01:41,  4.58it/s]

train:   1%|          | 18/3515 [00:05<12:33,  4.64it/s]
overall:  88%|████████▊ | 3534/4000 [18:21<01:41,  4.61it/s]

train:   1%|          | 19/3515 [00:05<12:31,  4.65it/s]
overall:  88%|████████▊ | 3535/4000 [18:22<01:41,  4.57it/s]

train:   1%|          | 20/3515 [00:05<12:40,  4.60it/s]
overall:  88%|████████▊ | 3536/4000 [18:22<01:40,  4.64it/s]

train:   1%|          | 21/3515 [00:05<12:29,  4.66it/s]
overall:  88%|████████▊ | 3538/4000 [18:22<01:25,  5.38it/s]

train:   1%|          | 23/3515 [00:06<10:47,  5.40it/s]
overall:  88%|████████▊ | 3539/4000 [18:22<01:29,  5.16it/s]

train:   1%|          | 24/3515 [00:06<11:15,  5.17it/s]
overall:  88%|████████▊ | 3540/4000 [18:23<01:44,  4.40it/s]

train:   1%|          | 25/3515 [00:06<13:12,  4.40it/s]
overall:  89%|████████▊ | 3541/4000 [18:23<01:44,  4.40it/s]

train:   1%|          | 26/3515 [00:06<13:11,  4.41it/s]
overall:  89%|████████▊ | 3542/4000 [18:23<01:45,  4.36it/s]

train:   1%|          | 27/3515 [00:07<13:19,  4.36it/s]
overall:  89%|████████▊ | 3543/4000 [18:23<01:35,  4.80it/s]

train:   1%|          | 28/3515 [00:07<12:06,  4.80it/s]
overall:  89%|████████▊ | 3544/4000 [18:24<01:36,  4.72it/s]

train:   1%|          | 29/3515 [00:07<12:18,  4.72it/s]
overall:  89%|████████▊ | 3546/4000 [18:24<01:24,  5.36it/s]

train:   1%|          | 31/3515 [00:07<10:49,  5.36it/s]
overall:  89%|████████▊ | 3547/4000 [18:24<01:28,  5.12it/s]

train:   1%|          | 32/3515 [00:08<11:20,  5.12it/s]
overall:  89%|████████▊ | 3548/4000 [18:24<01:30,  4.98it/s]

train:   1%|          | 33/3515 [00:08<11:39,  4.98it/s]
overall:  89%|████████▊ | 3549/4000 [18:25<01:34,  4.78it/s]

train:   1%|          | 34/3515 [00:08<12:07,  4.79it/s]
overall:  89%|████████▉ | 3550/4000 [18:25<01:31,  4.90it/s]

train:   1%|          | 35/3515 [00:08<11:50,  4.90it/s]
overall:  89%|████████▉ | 3551/4000 [18:25<01:33,  4.78it/s]

train:   1%|          | 36/3515 [00:08<12:07,  4.78it/s]
overall:  89%|████████▉ | 3552/4000 [18:25<01:47,  4.17it/s]

train:   1%|          | 37/3515 [00:09<13:54,  4.17it/s]
overall:  89%|████████▉ | 3553/4000 [18:25<01:44,  4.27it/s]

train:   1%|          | 38/3515 [00:09<13:34,  4.27it/s]
overall:  89%|████████▉ | 3554/4000 [18:26<01:45,  4.23it/s]

train:   1%|          | 39/3515 [00:09<13:42,  4.23it/s]
overall:  89%|████████▉ | 3555/4000 [18:26<01:33,  4.75it/s]

train:   1%|          | 40/3515 [00:09<12:10,  4.75it/s]
overall:  89%|████████▉ | 3556/4000 [18:26<01:33,  4.76it/s]

train:   1%|          | 41/3515 [00:10<12:09,  4.76it/s]
overall:  89%|████████▉ | 3557/4000 [18:26<01:32,  4.77it/s]

train:   1%|          | 42/3515 [00:10<12:08,  4.77it/s]
overall:  89%|████████▉ | 3558/4000 [18:26<01:33,  4.72it/s]

train:   1%|          | 43/3515 [00:10<12:15,  4.72it/s]
overall:  89%|████████▉ | 3559/4000 [18:27<01:22,  5.36it/s]

train:   1%|▏         | 44/3515 [00:10<10:47,  5.36it/s]
overall:  89%|████████▉ | 3560/4000 [18:27<01:27,  5.05it/s]

train:   1%|▏         | 45/3515 [00:10<11:26,  5.05it/s]
overall:  89%|████████▉ | 3561/4000 [18:27<01:31,  4.80it/s]

train:   1%|▏         | 46/3515 [00:11<12:02,  4.80it/s]
overall:  89%|████████▉ | 3562/4000 [18:27<01:32,  4.76it/s]

train:   1%|▏         | 47/3515 [00:11<12:09,  4.76it/s]
overall:  89%|████████▉ | 3563/4000 [18:27<01:21,  5.35it/s]

train:   1%|▏         | 48/3515 [00:11<10:48,  5.35it/s]
overall:  89%|████████▉ | 3564/4000 [18:28<01:40,  4.34it/s]

train:   1%|▏         | 49/3515 [00:11<13:19,  4.34it/s]
overall:  89%|████████▉ | 3565/4000 [18:28<01:25,  5.08it/s]

train:   1%|▏         | 50/3515 [00:11<11:21,  5.08it/s]
overall:  89%|████████▉ | 3566/4000 [18:28<01:29,  4.83it/s]

train:   1%|▏         | 51/3515 [00:12<11:57,  4.83it/s]
overall:  89%|████████▉ | 3567/4000 [18:28<01:37,  4.44it/s]

train:   1%|▏         | 52/3515 [00:12<13:00,  4.44it/s]
overall:  89%|████████▉ | 3569/4000 [18:29<01:22,  5.20it/s]

train:   2%|▏         | 54/3515 [00:12<11:05,  5.20it/s]
overall:  89%|████████▉ | 3570/4000 [18:29<01:24,  5.12it/s]

train:   2%|▏         | 55/3515 [00:12<11:16,  5.12it/s]
overall:  89%|████████▉ | 3571/4000 [18:29<01:26,  4.95it/s]

train:   2%|▏         | 56/3515 [00:13<11:38,  4.95it/s]
overall:  89%|████████▉ | 3572/4000 [18:29<01:29,  4.76it/s]

train:   2%|▏         | 57/3515 [00:13<12:06,  4.76it/s]
overall:  89%|████████▉ | 3573/4000 [18:30<01:29,  4.79it/s]

train:   2%|▏         | 58/3515 [00:13<12:01,  4.79it/s]
overall:  89%|████████▉ | 3574/4000 [18:30<01:31,  4.68it/s]

train:   2%|▏         | 59/3515 [00:13<12:19,  4.68it/s]
overall:  89%|████████▉ | 3575/4000 [18:30<01:31,  4.63it/s]

train:   2%|▏         | 60/3515 [00:13<12:25,  4.63it/s]
overall:  89%|████████▉ | 3576/4000 [18:30<01:45,  4.02it/s]

train:   2%|▏         | 61/3515 [00:14<14:19,  4.02it/s]
overall:  89%|████████▉ | 3577/4000 [18:31<01:40,  4.20it/s]

train:   2%|▏         | 62/3515 [00:14<13:41,  4.20it/s]
overall:  89%|████████▉ | 3578/4000 [18:31<01:39,  4.25it/s]

train:   2%|▏         | 63/3515 [00:14<13:32,  4.25it/s]
overall:  89%|████████▉ | 3579/4000 [18:31<01:44,  4.03it/s]

train:   2%|▏         | 64/3515 [00:15<14:15,  4.03it/s]
overall:  90%|████████▉ | 3580/4000 [18:31<01:41,  4.15it/s]

train:   2%|▏         | 65/3515 [00:15<13:51,  4.15it/s]
overall:  90%|████████▉ | 3581/4000 [18:31<01:37,  4.28it/s]

train:   2%|▏         | 66/3515 [00:15<13:26,  4.28it/s]
overall:  90%|████████▉ | 3582/4000 [18:32<01:36,  4.35it/s]

train:   2%|▏         | 67/3515 [00:15<13:12,  4.35it/s]
overall:  90%|████████▉ | 3583/4000 [18:32<01:34,  4.43it/s]

train:   2%|▏         | 68/3515 [00:15<12:57,  4.43it/s]
overall:  90%|████████▉ | 3584/4000 [18:32<01:21,  5.08it/s]

train:   2%|▏         | 69/3515 [00:16<11:18,  5.08it/s]
overall:  90%|████████▉ | 3586/4000 [18:32<01:09,  5.94it/s]

train:   2%|▏         | 71/3515 [00:16<09:39,  5.94it/s]
overall:  90%|████████▉ | 3587/4000 [18:33<01:13,  5.62it/s]

train:   2%|▏         | 72/3515 [00:16<10:12,  5.62it/s]
overall:  90%|████████▉ | 3588/4000 [18:33<01:28,  4.63it/s]

train:   2%|▏         | 73/3515 [00:16<12:23,  4.63it/s]
overall:  90%|████████▉ | 3589/4000 [18:33<01:30,  4.56it/s]

train:   2%|▏         | 74/3515 [00:17<12:34,  4.56it/s]
overall:  90%|████████▉ | 3590/4000 [18:33<01:32,  4.43it/s]

train:   2%|▏         | 75/3515 [00:17<12:55,  4.43it/s]
overall:  90%|████████▉ | 3591/4000 [18:34<01:33,  4.35it/s]

train:   2%|▏         | 76/3515 [00:17<13:10,  4.35it/s]
overall:  90%|████████▉ | 3592/4000 [18:34<01:27,  4.67it/s]

train:   2%|▏         | 77/3515 [00:17<12:16,  4.67it/s]
overall:  90%|████████▉ | 3593/4000 [18:34<01:29,  4.56it/s]

train:   2%|▏         | 78/3515 [00:17<12:33,  4.56it/s]
overall:  90%|████████▉ | 3594/4000 [18:34<01:27,  4.66it/s]

train:   2%|▏         | 79/3515 [00:18<12:17,  4.66it/s]
overall:  90%|████████▉ | 3595/4000 [18:34<01:22,  4.94it/s]

train:   2%|▏         | 80/3515 [00:18<11:35,  4.94it/s]
overall:  90%|████████▉ | 3596/4000 [18:35<01:21,  4.99it/s]

train:   2%|▏         | 81/3515 [00:18<11:28,  4.99it/s]
overall:  90%|████████▉ | 3597/4000 [18:35<01:23,  4.84it/s]

train:   2%|▏         | 82/3515 [00:18<11:49,  4.84it/s]
overall:  90%|████████▉ | 3598/4000 [18:35<01:22,  4.89it/s]

train:   2%|▏         | 83/3515 [00:18<11:41,  4.89it/s]
overall:  90%|████████▉ | 3599/4000 [18:35<01:18,  5.11it/s]

train:   2%|▏         | 84/3515 [00:19<11:11,  5.11it/s]
overall:  90%|█████████ | 3600/4000 [18:35<01:36,  4.16it/s]

train:   2%|▏         | 85/3515 [00:19<13:47,  4.15it/s]
overall:  90%|█████████ | 3601/4000 [18:36<01:33,  4.28it/s]

train:   2%|▏         | 86/3515 [00:19<13:20,  4.28it/s]
overall:  90%|█████████ | 3602/4000 [18:36<01:29,  4.44it/s]

train:   2%|▏         | 87/3515 [00:19<12:51,  4.44it/s]
overall:  90%|█████████ | 3603/4000 [18:36<01:35,  4.16it/s]

train:   3%|▎         | 88/3515 [00:20<13:44,  4.16it/s]
overall:  90%|█████████ | 3604/4000 [18:36<01:32,  4.27it/s]

train:   3%|▎         | 89/3515 [00:20<13:22,  4.27it/s]
overall:  90%|█████████ | 3606/4000 [18:37<01:11,  5.54it/s]

train:   3%|▎         | 91/3515 [00:20<10:17,  5.54it/s]
overall:  90%|█████████ | 3607/4000 [18:37<01:13,  5.37it/s]

train:   3%|▎         | 92/3515 [00:20<10:37,  5.37it/s]
overall:  90%|█████████ | 3608/4000 [18:37<01:11,  5.46it/s]

train:   3%|▎         | 93/3515 [00:20<10:26,  5.46it/s]
overall:  90%|█████████ | 3609/4000 [18:37<01:13,  5.30it/s]

train:   3%|▎         | 94/3515 [00:21<10:45,  5.30it/s]
overall:  90%|█████████ | 3610/4000 [18:37<01:15,  5.19it/s]

train:   3%|▎         | 95/3515 [00:21<10:58,  5.19it/s]
overall:  90%|█████████ | 3611/4000 [18:38<01:18,  4.98it/s]

train:   3%|▎         | 96/3515 [00:21<11:26,  4.98it/s]
overall:  90%|█████████ | 3612/4000 [18:38<01:32,  4.20it/s]

train:   3%|▎         | 97/3515 [00:21<13:33,  4.20it/s]
overall:  90%|█████████ | 3613/4000 [18:38<01:27,  4.40it/s]

train:   3%|▎         | 98/3515 [00:22<12:56,  4.40it/s]
overall:  90%|█████████ | 3614/4000 [18:38<01:28,  4.36it/s]

train:   3%|▎         | 99/3515 [00:22<13:04,  4.36it/s]
overall:  90%|█████████ | 3615/4000 [18:39<01:35,  4.02it/s]

train:   3%|▎         | 100/3515 [00:22<14:10,  4.02it/s]
overall:  90%|█████████ | 3616/4000 [18:39<01:32,  4.17it/s]

train:   3%|▎         | 101/3515 [00:22<13:39,  4.17it/s]
overall:  90%|█████████ | 3617/4000 [18:39<01:27,  4.37it/s]

train:   3%|▎         | 102/3515 [00:23<13:00,  4.37it/s]
overall:  90%|█████████ | 3618/4000 [18:39<01:28,  4.32it/s]

train:   3%|▎         | 103/3515 [00:23<13:10,  4.32it/s]
overall:  90%|█████████ | 3619/4000 [18:40<01:25,  4.44it/s]

train:   3%|▎         | 104/3515 [00:23<12:48,  4.44it/s]
overall:  90%|█████████ | 3620/4000 [18:40<01:24,  4.50it/s]

train:   3%|▎         | 105/3515 [00:23<12:38,  4.50it/s]
overall:  91%|█████████ | 3621/4000 [18:40<01:23,  4.52it/s]

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train:   3%|▎         | 116/3515 [00:26<11:15,  5.03it/s]
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train:   4%|▍         | 134/3515 [00:30<11:36,  4.86it/s]
overall:  91%|█████████▏| 3650/4000 [18:46<01:09,  5.04it/s]

train:   4%|▍         | 135/3515 [00:30<11:11,  5.04it/s]
overall:  91%|█████████▏| 3651/4000 [18:46<01:08,  5.12it/s]

train:   4%|▍         | 136/3515 [00:30<11:00,  5.12it/s]
overall:  91%|█████████▏| 3652/4000 [18:47<01:08,  5.06it/s]

train:   4%|▍         | 137/3515 [00:30<11:07,  5.06it/s]
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overall:  91%|█████████▏| 3658/4000 [18:48<01:06,  5.14it/s]

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train:   4%|▍         | 144/3515 [00:31<11:02,  5.09it/s]
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train:   4%|▍         | 145/3515 [00:32<12:55,  4.34it/s]
overall:  92%|█████████▏| 3661/4000 [18:48<01:15,  4.48it/s]

train:   4%|▍         | 146/3515 [00:32<12:31,  4.49it/s]
overall:  92%|█████████▏| 3662/4000 [18:49<01:15,  4.49it/s]

train:   4%|▍         | 147/3515 [00:32<12:29,  4.49it/s]
overall:  92%|█████████▏| 3663/4000 [18:49<01:04,  5.24it/s]

train:   4%|▍         | 148/3515 [00:32<10:42,  5.24it/s]
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train:   4%|▍         | 149/3515 [00:32<11:07,  5.04it/s]
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train:   4%|▍         | 150/3515 [00:33<11:19,  4.96it/s]
overall:  92%|█████████▏| 3666/4000 [18:49<01:08,  4.91it/s]

train:   4%|▍         | 151/3515 [00:33<11:25,  4.91it/s]
overall:  92%|█████████▏| 3668/4000 [18:50<00:47,  7.00it/s]

train:   4%|▍         | 153/3515 [00:33<07:59,  7.00it/s]
overall:  92%|█████████▏| 3669/4000 [18:50<00:52,  6.32it/s]

train:   4%|▍         | 154/3515 [00:33<08:51,  6.32it/s]
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train:   5%|▍         | 170/3515 [00:37<11:36,  4.81it/s]
overall:  92%|█████████▏| 3686/4000 [18:53<01:06,  4.75it/s]

train:   5%|▍         | 171/3515 [00:37<11:43,  4.75it/s]
overall:  92%|█████████▏| 3687/4000 [18:54<01:06,  4.70it/s]

train:   5%|▍         | 172/3515 [00:37<11:50,  4.70it/s]
overall:  92%|█████████▏| 3688/4000 [18:54<01:03,  4.89it/s]

train:   5%|▍         | 173/3515 [00:37<11:23,  4.89it/s]
overall:  92%|█████████▏| 3689/4000 [18:54<01:04,  4.85it/s]

train:   5%|▍         | 174/3515 [00:37<11:28,  4.85it/s]
overall:  92%|█████████▏| 3690/4000 [18:54<01:04,  4.81it/s]

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overall:  92%|█████████▏| 3691/4000 [18:54<01:04,  4.76it/s]

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train:   5%|▌         | 179/3515 [00:39<11:48,  4.71it/s]
overall:  92%|█████████▏| 3695/4000 [18:55<00:57,  5.33it/s]

train:   5%|▌         | 180/3515 [00:39<10:26,  5.33it/s]
overall:  92%|█████████▏| 3696/4000 [18:55<01:04,  4.72it/s]

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overall:  92%|█████████▏| 3699/4000 [18:56<01:01,  4.91it/s]

train:   5%|▌         | 184/3515 [00:39<11:18,  4.91it/s]
overall:  92%|█████████▎| 3700/4000 [18:56<01:00,  4.96it/s]

train:   5%|▌         | 185/3515 [00:40<11:11,  4.96it/s]
overall:  93%|█████████▎| 3701/4000 [18:56<01:01,  4.89it/s]

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overall:  93%|█████████▎| 3702/4000 [18:57<00:58,  5.13it/s]

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overall:  93%|█████████▎| 3703/4000 [18:57<00:59,  4.97it/s]

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overall:  93%|█████████▎| 3704/4000 [18:57<01:00,  4.88it/s]

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overall:  93%|█████████▎| 3705/4000 [18:57<00:57,  5.12it/s]

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overall:  93%|█████████▎| 3706/4000 [18:57<00:59,  4.96it/s]

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overall:  93%|█████████▎| 3707/4000 [18:58<00:50,  5.75it/s]

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overall:  93%|█████████▎| 3709/4000 [18:58<00:58,  5.01it/s]

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train:   6%|▌         | 198/3515 [00:42<11:26,  4.83it/s]
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train:   6%|▌         | 199/3515 [00:42<11:11,  4.94it/s]
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train:   6%|▋         | 224/3515 [00:48<11:22,  4.82it/s]
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train:  13%|█▎        | 466/3515 [01:39<10:38,  4.78it/s]
overall: 100%|█████████▉| 3982/4000 [19:55<00:03,  4.91it/s]

train:  13%|█▎        | 467/3515 [01:39<10:20,  4.91it/s]
overall: 100%|█████████▉| 3983/4000 [19:56<00:03,  4.90it/s]

train:  13%|█▎        | 468/3515 [01:39<10:22,  4.90it/s]
overall: 100%|█████████▉| 3984/4000 [19:56<00:03,  4.28it/s]

train:  13%|█▎        | 469/3515 [01:39<11:51,  4.28it/s]
overall: 100%|█████████▉| 3985/4000 [19:56<00:03,  4.41it/s]

train:  13%|█▎        | 470/3515 [01:40<11:29,  4.41it/s]
overall: 100%|█████████▉| 3986/4000 [19:56<00:03,  4.41it/s]

train:  13%|█▎        | 471/3515 [01:40<11:29,  4.41it/s]
overall: 100%|█████████▉| 3987/4000 [19:57<00:02,  4.56it/s]

train:  13%|█▎        | 472/3515 [01:40<11:07,  4.56it/s]
overall: 100%|█████████▉| 3988/4000 [19:57<00:02,  4.58it/s]

train:  13%|█▎        | 473/3515 [01:40<11:04,  4.58it/s]
overall: 100%|█████████▉| 3989/4000 [19:57<00:02,  4.35it/s]

train:  13%|█▎        | 474/3515 [01:41<11:38,  4.35it/s]
overall: 100%|█████████▉| 3990/4000 [19:57<00:02,  4.43it/s]

train:  14%|█▎        | 475/3515 [01:41<11:26,  4.43it/s]
overall: 100%|█████████▉| 3991/4000 [19:57<00:01,  4.58it/s]

train:  14%|█▎        | 476/3515 [01:41<11:03,  4.58it/s]
overall: 100%|█████████▉| 3993/4000 [19:58<00:01,  5.32it/s]

train:  14%|█▎        | 478/3515 [01:41<09:30,  5.32it/s]
overall: 100%|█████████▉| 3994/4000 [19:58<00:01,  5.50it/s]

train:  14%|█▎        | 479/3515 [01:41<09:11,  5.50it/s]
overall: 100%|█████████▉| 3996/4000 [19:58<00:00,  5.44it/s]

train:  14%|█▎        | 481/3515 [01:42<09:17,  5.44it/s]
overall: 100%|█████████▉| 3997/4000 [19:58<00:00,  5.31it/s]

train:  14%|█▎        | 482/3515 [01:42<09:31,  5.31it/s]
overall: 100%|█████████▉| 3998/4000 [19:59<00:00,  5.01it/s]

train:  14%|█▎        | 483/3515 [01:42<10:05,  5.01it/s]
overall: 100%|█████████▉| 3999/4000 [19:59<00:00,  4.64it/s]

train:  14%|█▍        | 484/3515 [01:42<10:52,  4.65it/s]train loss: 3.7800114154815674
train per: 0.9907585578286409
train loss: 3.7417171001434326
train per: 0.9956029236189977
train loss: 3.706643581390381
train per: 0.9977853015299238
train loss: 3.6886935234069824
train per: 0.9993617021276596
train loss: 3.740492582321167
train per: 0.9992392930496742
train loss: 3.6938655376434326
train per: 0.9997022923489134
train loss: 3.678025722503662
train per: 0.9995410212277682
train loss: 3.6886870861053467
train per: 0.9997192301802031
train loss: 3.8406295776367188
train per: 0.998242306908498
train loss: 3.787977695465088
train per: 0.9985543910372244
train loss: 3.7436435222625732
train per: 0.9984643814580568
train loss: 3.6847431659698486
train per: 0.9991075412762159
train loss: 3.7074990272521973
train per: 0.9997227473219912
train loss: 3.708005905151367
train per: 0.9972852332350101
train loss: 3.7184364795684814
train per: 0.9996400380531201
train loss: 3.6841788291931152
train per: 0.9996445527712189
train loss: 3.6927802562713623
train per: 0.9993350081276784
train loss: 3.683209180831909
train per: 0.9994058088130436
train loss: 3.687211513519287
train per: 0.9990871860660187
train loss: 3.6730446815490723
train per: 0.999509288468279
train loss: 3.7069671154022217
train per: 0.999465811965812
train loss: 3.673117160797119
train per: 0.999448488859475
train loss: 3.70119047164917
train per: 0.9997616834679822
train loss: 3.7030537128448486
train per: 0.9993435129352266
train loss: 3.719371795654297
train per: 0.9996780106008818
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 213/2703 [00:00<00:01, 2123.90it/s]


word -> phonemes:  16%|█▌        | 426/2703 [00:00<00:01, 2110.21it/s]


word -> phonemes:  24%|██▎       | 638/2703 [00:00<00:01, 2042.11it/s]


word -> phonemes:  31%|███▏      | 851/2703 [00:00<00:00, 2074.41it/s]


word -> phonemes:  40%|████      | 1090/2703 [00:00<00:00, 2183.31it/s]


word -> phonemes:  48%|████▊     | 1309/2703 [00:00<00:00, 2172.05it/s]


word -> phonemes:  56%|█████▋    | 1527/2703 [00:00<00:00, 2154.36it/s]


word -> phonemes:  65%|██████▍   | 1745/2703 [00:00<00:00, 2161.34it/s]


word -> phonemes:  73%|███████▎  | 1962/2703 [00:00<00:00, 2099.93it/s]


word -> phonemes:  81%|████████  | 2183/2703 [00:01<00:00, 2131.64it/s]


word -> phonemes:  89%|████████▊ | 2397/2703 [00:01<00:00, 2094.71it/s]


word -> phonemes:  96%|█████████▋| 2607/2703 [00:01<00:00, 2080.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2105.31it/s]



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overall: 100%|█████████▉| 3999/4000 [21:50<00:00,  4.64it/s]

train:  14%|█▍        | 484/3515 [03:33<10:52,  4.65it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:50<00:00,  4.64it/s]

train:  14%|█▍        | 484/3515 [03:33<10:52,  4.65it/s]
overall: 100%|██████████| 4000/4000 [21:50<00:00, 30.13s/it]

train:  14%|█▍        | 485/3515 [03:33<25:21:21, 30.13s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:33<22:16,  2.27it/s]   

overall: 100%|██████████| 4000/4000 [21:50<00:00,  3.05it/s]
dev loss: 3.7565267086029053
dev per: 0.9992195629552549
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt