/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
Some weights of the model checkpoint at m-a-p/MERT-v1-330M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_v', 'encoder.pos_conv_embed.conv.weight_g']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-330M and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'encoder.pos_conv_embed.conv.parametrizations.weight.original0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
m-a-p/MERT-v1-330M {'model_config': None, 'refresh': False}

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:  10%|▉         | 339/3515 [00:00<00:00, 3337.31it/s]

word -> phonemes:  19%|█▉        | 673/3515 [00:00<00:00, 2880.76it/s]

word -> phonemes:  29%|██▉       | 1024/3515 [00:00<00:00, 3143.97it/s]

word -> phonemes:  40%|████      | 1412/3515 [00:00<00:00, 3417.38it/s]

word -> phonemes:  50%|█████     | 1775/3515 [00:00<00:00, 3490.04it/s]

word -> phonemes:  62%|██████▏   | 2192/3515 [00:00<00:00, 3714.28it/s]

word -> phonemes:  73%|███████▎  | 2566/3515 [00:00<00:00, 3697.28it/s]

word -> phonemes:  84%|████████▎ | 2938/3515 [00:00<00:00, 3626.50it/s]

word -> phonemes:  94%|█████████▍| 3302/3515 [00:00<00:00, 3408.39it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3471.85it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:01:03,  4.52s/it]

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overall:   1%|          | 21/4000 [00:25<1:11:32,  1.08s/it]

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overall:   1%|          | 24/4000 [00:29<1:15:41,  1.14s/it]

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overall:   1%|          | 27/4000 [00:32<1:18:35,  1.19s/it]

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overall:   1%|          | 29/4000 [00:35<1:18:04,  1.18s/it]

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overall:   1%|          | 31/4000 [00:37<1:19:10,  1.20s/it]

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overall:   1%|          | 32/4000 [00:38<1:19:12,  1.20s/it]

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overall:   1%|          | 33/4000 [00:40<1:19:22,  1.20s/it]

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overall:   1%|          | 34/4000 [00:40<1:00:56,  1.08it/s]

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overall:   1%|          | 35/4000 [00:41<1:07:03,  1.01s/it]

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overall:   1%|          | 36/4000 [00:42<1:11:30,  1.08s/it]

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overall:   1%|          | 37/4000 [00:44<1:11:58,  1.09s/it]

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overall:   1%|          | 38/4000 [00:45<1:13:53,  1.12s/it]

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overall:   1%|          | 39/4000 [00:46<1:13:05,  1.11s/it]

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overall:   1%|          | 40/4000 [00:47<1:05:51,  1.00it/s]

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overall:   1%|          | 41/4000 [00:48<1:08:58,  1.05s/it]

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overall:   1%|          | 46/4000 [00:52<52:36,  1.25it/s]  

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overall:   6%|▋         | 250/4000 [04:46<58:47,  1.06it/s]  

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train:   8%|▊         | 267/3515 [05:04<1:08:31,  1.27s/it]
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overall:   7%|▋         | 280/4000 [05:22<1:10:53,  1.14s/it]

train:   8%|▊         | 280/3515 [05:19<1:01:39,  1.14s/it]
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train:   8%|▊         | 281/3515 [05:21<1:04:02,  1.19s/it]
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train:   8%|▊         | 283/3515 [05:23<1:04:20,  1.19s/it]
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train:   8%|▊         | 284/3515 [05:24<1:00:31,  1.12s/it]
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train:   8%|▊         | 285/3515 [05:25<1:01:20,  1.14s/it]
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train:   8%|▊         | 286/3515 [05:26<53:29,  1.01it/s]  
overall:   7%|▋         | 287/4000 [05:29<1:01:17,  1.01it/s]

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overall:   9%|▉         | 377/4000 [07:06<1:07:28,  1.12s/it]

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train:  11%|█         | 385/3515 [07:14<1:04:45,  1.24s/it]
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overall:  10%|▉         | 390/4000 [07:21<55:17,  1.09it/s]  

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overall:  10%|▉         | 396/4000 [07:28<1:07:10,  1.12s/it]

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overall:  10%|▉         | 397/4000 [07:29<1:06:35,  1.11s/it]

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overall:  10%|▉         | 398/4000 [07:30<1:09:27,  1.16s/it]

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overall:  10%|█         | 402/4000 [07:35<1:11:27,  1.19s/it]

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overall:  10%|█         | 403/4000 [07:36<1:05:23,  1.09s/it]

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overall:  10%|█         | 404/4000 [07:37<1:07:39,  1.13s/it]

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overall:  10%|█         | 405/4000 [07:38<1:10:01,  1.17s/it]

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overall:  10%|█         | 406/4000 [07:39<1:02:46,  1.05s/it]

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overall:  10%|█         | 407/4000 [07:40<1:03:53,  1.07s/it]

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overall:  10%|█         | 408/4000 [07:42<1:06:33,  1.11s/it]

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overall:  10%|█         | 409/4000 [07:43<1:06:38,  1.11s/it]

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overall:  11%|█         | 421/4000 [07:56<1:12:27,  1.21s/it]

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overall:  11%|█         | 426/4000 [08:02<56:03,  1.06it/s]  

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overall:  11%|█         | 427/4000 [08:03<1:01:56,  1.04s/it]

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overall:  11%|█         | 428/4000 [08:04<1:05:02,  1.09s/it]

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overall:  11%|█         | 431/4000 [08:06<48:56,  1.22it/s]  

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overall:  11%|█         | 432/4000 [08:08<55:41,  1.07it/s]

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overall:  11%|█         | 446/4000 [08:23<54:59,  1.08it/s]  

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overall:  11%|█▏        | 451/4000 [08:29<1:03:03,  1.07s/it]

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overall:  11%|█▏        | 453/4000 [08:30<52:46,  1.12it/s]  

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overall:  11%|█▏        | 454/4000 [08:31<58:18,  1.01it/s]

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overall:  12%|█▏        | 471/4000 [08:51<1:06:35,  1.13s/it]

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overall:  12%|█▏        | 473/4000 [08:54<1:09:40,  1.19s/it]

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overall:  12%|█▏        | 486/4000 [09:08<1:08:16,  1.17s/it]

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overall:  12%|█▏        | 488/4000 [09:09<55:42,  1.05it/s]  

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overall:  12%|█▏        | 489/4000 [09:10<54:30,  1.07it/s]

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overall:  12%|█▏        | 492/4000 [09:13<52:48,  1.11it/s]  

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overall:  12%|█▏        | 493/4000 [09:14<57:26,  1.02it/s]

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overall:  12%|█▏        | 494/4000 [09:15<1:01:01,  1.04s/it]

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overall:  12%|█▏        | 495/4000 [09:17<1:03:24,  1.09s/it]

train:  14%|█▍        | 495/3515 [09:14<54:38,  1.09s/it]
overall:  12%|█▏        | 496/4000 [09:18<1:04:02,  1.10s/it]

train:  14%|█▍        | 496/3515 [09:16<55:10,  1.10s/it]
overall:  12%|█▏        | 497/4000 [09:19<1:05:44,  1.13s/it]

train:  14%|█▍        | 497/3515 [09:17<56:38,  1.13s/it]
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overall:  12%|█▏        | 499/4000 [09:21<1:03:29,  1.09s/it]

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overall:  12%|█▎        | 500/4000 [09:22<54:35,  1.07it/s]  

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overall:  13%|█▎        | 507/4000 [09:30<1:09:02,  1.19s/it]

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train:  15%|█▍        | 510/3515 [09:32<1:01:37,  1.23s/it]
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train:  15%|█▍        | 511/3515 [09:33<1:00:14,  1.20s/it]
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overall:  13%|█▎        | 517/4000 [09:42<1:07:43,  1.17s/it]

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overall:  13%|█▎        | 518/4000 [09:43<57:29,  1.01it/s]  

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overall:  13%|█▎        | 519/4000 [09:44<1:02:42,  1.08s/it]

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overall:  13%|█▎        | 520/4000 [09:45<1:04:06,  1.11s/it]

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overall:  13%|█▎        | 521/4000 [09:46<1:06:17,  1.14s/it]

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overall:  13%|█▎        | 525/4000 [09:51<1:10:37,  1.22s/it]

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overall:  13%|█▎        | 526/4000 [09:52<1:11:18,  1.23s/it]

train:  15%|█▍        | 526/3515 [09:50<1:01:21,  1.23s/it]
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train:  15%|█▍        | 527/3515 [09:52<1:00:45,  1.22s/it]
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overall:  13%|█▎        | 529/4000 [09:55<59:54,  1.04s/it]

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overall:  13%|█▎        | 531/4000 [09:57<55:37,  1.04it/s]  

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overall:  13%|█▎        | 534/4000 [10:00<55:50,  1.03it/s]  

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overall:  13%|█▎        | 535/4000 [10:02<1:00:02,  1.04s/it]

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overall:  13%|█▎        | 536/4000 [10:03<1:02:17,  1.08s/it]

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overall:  13%|█▎        | 537/4000 [10:04<1:05:42,  1.14s/it]

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overall:  13%|█▎        | 539/4000 [10:06<1:00:32,  1.05s/it]

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overall:  14%|█▎        | 540/4000 [10:07<52:01,  1.11it/s]  

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overall:  14%|█▎        | 543/4000 [10:10<1:04:58,  1.13s/it]

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overall:  14%|█▎        | 544/4000 [10:11<1:04:56,  1.13s/it]

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overall:  14%|█▎        | 545/4000 [10:13<1:06:44,  1.16s/it]

train:  16%|█▌        | 545/3515 [10:10<57:22,  1.16s/it]
overall:  14%|█▎        | 546/4000 [10:14<1:06:16,  1.15s/it]

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overall:  14%|█▎        | 547/4000 [10:15<1:07:50,  1.18s/it]

train:  16%|█▌        | 547/3515 [10:13<58:19,  1.18s/it]
overall:  14%|█▎        | 548/4000 [10:16<1:07:15,  1.17s/it]

train:  16%|█▌        | 548/3515 [10:14<57:48,  1.17s/it]
overall:  14%|█▎        | 549/4000 [10:17<1:08:54,  1.20s/it]

train:  16%|█▌        | 549/3515 [10:15<59:13,  1.20s/it]
overall:  14%|█▍        | 550/4000 [10:19<1:09:33,  1.21s/it]

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overall:  14%|█▍        | 552/4000 [10:21<1:01:17,  1.07s/it]

train:  16%|█▌        | 552/3515 [10:18<52:39,  1.07s/it]
overall:  14%|█▍        | 553/4000 [10:22<1:03:13,  1.10s/it]

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overall:  14%|█▍        | 555/4000 [10:23<53:24,  1.07it/s]  

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overall:  14%|█▍        | 557/4000 [10:26<1:08:00,  1.19s/it]

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overall:  14%|█▍        | 560/4000 [10:30<1:05:52,  1.15s/it]

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overall:  14%|█▍        | 561/4000 [10:31<1:06:12,  1.16s/it]

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train:  16%|█▌        | 563/3515 [10:31<55:02,  1.12s/it]
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overall:  14%|█▍        | 565/4000 [10:35<54:34,  1.05it/s]  

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overall:  14%|█▍        | 566/4000 [10:36<59:16,  1.04s/it]

train:  16%|█▌        | 566/3515 [10:34<50:54,  1.04s/it]
overall:  14%|█▍        | 567/4000 [10:37<1:03:21,  1.11s/it]

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overall:  14%|█▍        | 568/4000 [10:38<49:09,  1.16it/s]  

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overall:  14%|█▍        | 569/4000 [10:39<55:22,  1.03it/s]

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overall:  14%|█▍        | 570/4000 [10:40<59:23,  1.04s/it]

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overall:  14%|█▍        | 571/4000 [10:41<1:03:51,  1.12s/it]

train:  16%|█▌        | 571/3515 [10:39<54:49,  1.12s/it]
overall:  14%|█▍        | 572/4000 [10:43<1:05:39,  1.15s/it]

train:  16%|█▋        | 572/3515 [10:40<56:21,  1.15s/it]
overall:  14%|█▍        | 573/4000 [10:44<1:07:53,  1.19s/it]

train:  16%|█▋        | 573/3515 [10:42<58:17,  1.19s/it]
overall:  14%|█▍        | 574/4000 [10:45<1:08:31,  1.20s/it]

train:  16%|█▋        | 574/3515 [10:43<58:49,  1.20s/it]
overall:  14%|█▍        | 575/4000 [10:46<1:09:52,  1.22s/it]

train:  16%|█▋        | 575/3515 [10:44<59:58,  1.22s/it]
overall:  14%|█▍        | 576/4000 [10:48<1:09:58,  1.23s/it]

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overall:  14%|█▍        | 577/4000 [10:49<1:08:04,  1.19s/it]

train:  16%|█▋        | 577/3515 [10:47<58:26,  1.19s/it]  
overall:  14%|█▍        | 578/4000 [10:50<1:08:27,  1.20s/it]

train:  16%|█▋        | 578/3515 [10:48<58:45,  1.20s/it]
overall:  14%|█▍        | 579/4000 [10:51<58:44,  1.03s/it]  

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overall:  14%|█▍        | 580/4000 [10:52<1:01:19,  1.08s/it]

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overall:  15%|█▍        | 581/4000 [10:53<1:02:36,  1.10s/it]

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overall:  15%|█▍        | 582/4000 [10:54<1:03:17,  1.11s/it]

train:  17%|█▋        | 582/3515 [10:52<54:18,  1.11s/it]
overall:  15%|█▍        | 583/4000 [10:55<1:06:22,  1.17s/it]

train:  17%|█▋        | 583/3515 [10:53<56:57,  1.17s/it]
overall:  15%|█▍        | 584/4000 [10:56<1:04:12,  1.13s/it]

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overall:  15%|█▍        | 585/4000 [10:58<1:05:37,  1.15s/it]

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overall:  15%|█▍        | 586/4000 [10:59<1:07:29,  1.19s/it]

train:  17%|█▋        | 586/3515 [10:57<57:53,  1.19s/it]
overall:  15%|█▍        | 587/4000 [11:00<1:09:02,  1.21s/it]

train:  17%|█▋        | 587/3515 [10:58<59:13,  1.21s/it]
overall:  15%|█▍        | 588/4000 [11:01<1:09:02,  1.21s/it]

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overall:  15%|█▍        | 589/4000 [11:02<1:07:19,  1.18s/it]

train:  17%|█▋        | 589/3515 [11:00<57:45,  1.18s/it]
overall:  15%|█▍        | 590/4000 [11:03<58:01,  1.02s/it]  

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overall:  15%|█▍        | 591/4000 [11:05<1:05:35,  1.15s/it]

train:  17%|█▋        | 591/3515 [11:02<56:15,  1.15s/it]
overall:  15%|█▍        | 592/4000 [11:06<1:06:30,  1.17s/it]

train:  17%|█▋        | 592/3515 [11:04<57:03,  1.17s/it]
overall:  15%|█▍        | 593/4000 [11:07<1:05:41,  1.16s/it]

train:  17%|█▋        | 593/3515 [11:05<56:20,  1.16s/it]
overall:  15%|█▍        | 594/4000 [11:08<1:05:27,  1.15s/it]

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overall:  15%|█▍        | 595/4000 [11:09<1:06:03,  1.16s/it]

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overall:  15%|█▍        | 596/4000 [11:10<1:06:37,  1.17s/it]

train:  17%|█▋        | 596/3515 [11:08<57:08,  1.17s/it]
overall:  15%|█▍        | 597/4000 [11:11<57:23,  1.01s/it]  

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overall:  15%|█▍        | 598/4000 [11:12<1:01:11,  1.08s/it]

train:  17%|█▋        | 598/3515 [11:10<52:28,  1.08s/it]
overall:  15%|█▍        | 599/4000 [11:13<1:01:47,  1.09s/it]

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overall:  15%|█▌        | 600/4000 [11:14<58:53,  1.04s/it]  

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overall:  15%|█▌        | 601/4000 [11:15<55:36,  1.02it/s]

train:  17%|█▋        | 601/3515 [11:13<47:40,  1.02it/s]
overall:  15%|█▌        | 602/4000 [11:16<58:40,  1.04s/it]

train:  17%|█▋        | 602/3515 [11:14<50:17,  1.04s/it]
overall:  15%|█▌        | 603/4000 [11:17<1:01:40,  1.09s/it]

train:  17%|█▋        | 603/3515 [11:15<52:51,  1.09s/it]
overall:  15%|█▌        | 604/4000 [11:19<1:02:43,  1.11s/it]

train:  17%|█▋        | 604/3515 [11:17<53:46,  1.11s/it]
overall:  15%|█▌        | 605/4000 [11:20<1:09:12,  1.22s/it]

train:  17%|█▋        | 605/3515 [11:18<59:19,  1.22s/it]
overall:  15%|█▌        | 606/4000 [11:21<1:06:22,  1.17s/it]

train:  17%|█▋        | 606/3515 [11:19<56:53,  1.17s/it]
overall:  15%|█▌        | 607/4000 [11:22<1:00:45,  1.07s/it]

train:  17%|█▋        | 607/3515 [11:20<52:04,  1.07s/it]
overall:  15%|█▌        | 608/4000 [11:23<1:03:02,  1.12s/it]

train:  17%|█▋        | 608/3515 [11:21<54:01,  1.12s/it]
overall:  15%|█▌        | 609/4000 [11:24<1:03:24,  1.12s/it]

train:  17%|█▋        | 609/3515 [11:22<54:20,  1.12s/it]
overall:  15%|█▌        | 610/4000 [11:26<1:04:55,  1.15s/it]

train:  17%|█▋        | 610/3515 [11:23<55:38,  1.15s/it]
overall:  15%|█▌        | 611/4000 [11:26<53:02,  1.06it/s]  

train:  17%|█▋        | 611/3515 [11:24<45:27,  1.06it/s]
overall:  15%|█▌        | 612/4000 [11:27<47:32,  1.19it/s]

train:  17%|█▋        | 612/3515 [11:25<40:43,  1.19it/s]
overall:  15%|█▌        | 613/4000 [11:28<53:44,  1.05it/s]

train:  17%|█▋        | 613/3515 [11:26<46:02,  1.05it/s]
overall:  15%|█▌        | 614/4000 [11:29<59:02,  1.05s/it]

train:  17%|█▋        | 614/3515 [11:27<50:34,  1.05s/it]
overall:  15%|█▌        | 615/4000 [11:30<1:04:16,  1.14s/it]

train:  17%|█▋        | 615/3515 [11:28<55:03,  1.14s/it]
overall:  15%|█▌        | 616/4000 [11:32<1:03:47,  1.13s/it]

train:  18%|█▊        | 616/3515 [11:29<54:38,  1.13s/it]
overall:  15%|█▌        | 617/4000 [11:33<1:06:04,  1.17s/it]

train:  18%|█▊        | 617/3515 [11:31<56:35,  1.17s/it]
overall:  15%|█▌        | 618/4000 [11:34<1:06:34,  1.18s/it]

train:  18%|█▊        | 618/3515 [11:32<57:01,  1.18s/it]
overall:  15%|█▌        | 619/4000 [11:35<1:06:18,  1.18s/it]

train:  18%|█▊        | 619/3515 [11:33<56:47,  1.18s/it]
overall:  16%|█▌        | 620/4000 [11:36<1:06:49,  1.19s/it]

train:  18%|█▊        | 620/3515 [11:34<57:14,  1.19s/it]
overall:  16%|█▌        | 621/4000 [11:38<1:07:12,  1.19s/it]

train:  18%|█▊        | 621/3515 [11:36<57:33,  1.19s/it]
overall:  16%|█▌        | 622/4000 [11:39<1:07:14,  1.19s/it]

train:  18%|█▊        | 622/3515 [11:37<57:35,  1.19s/it]
overall:  16%|█▌        | 623/4000 [11:40<1:07:51,  1.21s/it]

train:  18%|█▊        | 623/3515 [11:38<58:06,  1.21s/it]
overall:  16%|█▌        | 624/4000 [11:41<1:07:58,  1.21s/it]

train:  18%|█▊        | 624/3515 [11:39<58:12,  1.21s/it]
overall:  16%|█▌        | 625/4000 [11:42<1:06:28,  1.18s/it]

train:  18%|█▊        | 625/3515 [11:40<56:55,  1.18s/it]
overall:  16%|█▌        | 626/4000 [11:44<1:06:09,  1.18s/it]

train:  18%|█▊        | 626/3515 [11:41<56:38,  1.18s/it]
overall:  16%|█▌        | 627/4000 [11:45<1:06:24,  1.18s/it]

train:  18%|█▊        | 627/3515 [11:43<56:51,  1.18s/it]
overall:  16%|█▌        | 628/4000 [11:46<1:06:44,  1.19s/it]

train:  18%|█▊        | 628/3515 [11:44<57:08,  1.19s/it]
overall:  16%|█▌        | 629/4000 [11:47<1:10:47,  1.26s/it]

train:  18%|█▊        | 629/3515 [11:45<1:00:36,  1.26s/it]
overall:  16%|█▌        | 630/4000 [11:48<1:05:45,  1.17s/it]

train:  18%|█▊        | 630/3515 [11:46<56:17,  1.17s/it]  
overall:  16%|█▌        | 631/4000 [11:50<1:04:58,  1.16s/it]

train:  18%|█▊        | 631/3515 [11:47<55:37,  1.16s/it]
overall:  16%|█▌        | 632/4000 [11:51<1:04:56,  1.16s/it]

train:  18%|█▊        | 632/3515 [11:49<55:35,  1.16s/it]
overall:  16%|█▌        | 633/4000 [11:52<1:06:45,  1.19s/it]

train:  18%|█▊        | 633/3515 [11:50<57:08,  1.19s/it]
overall:  16%|█▌        | 634/4000 [11:53<1:08:03,  1.21s/it]

train:  18%|█▊        | 634/3515 [11:51<58:14,  1.21s/it]
overall:  16%|█▌        | 635/4000 [11:54<54:31,  1.03it/s]  

train:  18%|█▊        | 635/3515 [11:51<46:39,  1.03it/s]
overall:  16%|█▌        | 636/4000 [11:55<56:20,  1.00s/it]

train:  18%|█▊        | 636/3515 [11:53<48:13,  1.00s/it]
overall:  16%|█▌        | 637/4000 [11:56<59:55,  1.07s/it]

train:  18%|█▊        | 637/3515 [11:54<51:16,  1.07s/it]
overall:  16%|█▌        | 638/4000 [11:56<48:10,  1.16it/s]

train:  18%|█▊        | 638/3515 [11:54<41:13,  1.16it/s]
overall:  16%|█▌        | 639/4000 [11:58<58:06,  1.04s/it]

train:  18%|█▊        | 639/3515 [11:56<49:43,  1.04s/it]
overall:  16%|█▌        | 640/4000 [11:59<57:35,  1.03s/it]

train:  18%|█▊        | 640/3515 [11:57<49:16,  1.03s/it]
overall:  16%|█▌        | 641/4000 [12:00<1:00:07,  1.07s/it]

train:  18%|█▊        | 641/3515 [11:58<51:26,  1.07s/it]
overall:  16%|█▌        | 642/4000 [12:01<1:01:22,  1.10s/it]

train:  18%|█▊        | 642/3515 [11:59<52:30,  1.10s/it]
overall:  16%|█▌        | 643/4000 [12:02<1:04:04,  1.15s/it]

train:  18%|█▊        | 643/3515 [12:00<54:49,  1.15s/it]
overall:  16%|█▌        | 644/4000 [12:04<1:04:47,  1.16s/it]

train:  18%|█▊        | 644/3515 [12:01<55:25,  1.16s/it]
overall:  16%|█▌        | 645/4000 [12:04<55:57,  1.00s/it]  

train:  18%|█▊        | 645/3515 [12:02<47:52,  1.00s/it]
overall:  16%|█▌        | 646/4000 [12:05<59:44,  1.07s/it]

train:  18%|█▊        | 646/3515 [12:03<51:05,  1.07s/it]
overall:  16%|█▌        | 647/4000 [12:06<59:39,  1.07s/it]

train:  18%|█▊        | 647/3515 [12:04<51:01,  1.07s/it]
overall:  16%|█▌        | 648/4000 [12:08<1:01:22,  1.10s/it]

train:  18%|█▊        | 648/3515 [12:05<52:29,  1.10s/it]
overall:  16%|█▌        | 649/4000 [12:09<1:03:24,  1.14s/it]

train:  18%|█▊        | 649/3515 [12:07<54:14,  1.14s/it]
overall:  16%|█▋        | 650/4000 [12:10<1:01:19,  1.10s/it]

train:  18%|█▊        | 650/3515 [12:08<52:26,  1.10s/it]
overall:  16%|█▋        | 651/4000 [12:11<1:04:06,  1.15s/it]

train:  19%|█▊        | 651/3515 [12:09<54:49,  1.15s/it]
overall:  16%|█▋        | 652/4000 [12:12<1:06:07,  1.18s/it]

train:  19%|█▊        | 652/3515 [12:10<56:32,  1.18s/it]
overall:  16%|█▋        | 653/4000 [12:14<1:10:00,  1.26s/it]

train:  19%|█▊        | 653/3515 [12:12<59:52,  1.26s/it]
overall:  16%|█▋        | 654/4000 [12:15<1:09:24,  1.24s/it]

train:  19%|█▊        | 654/3515 [12:13<59:20,  1.24s/it]
overall:  16%|█▋        | 655/4000 [12:16<1:04:03,  1.15s/it]

train:  19%|█▊        | 655/3515 [12:14<54:46,  1.15s/it]
overall:  16%|█▋        | 656/4000 [12:17<1:04:57,  1.17s/it]

train:  19%|█▊        | 656/3515 [12:15<55:32,  1.17s/it]
overall:  16%|█▋        | 657/4000 [12:18<1:04:25,  1.16s/it]

train:  19%|█▊        | 657/3515 [12:16<55:04,  1.16s/it]
overall:  16%|█▋        | 658/4000 [12:19<1:02:44,  1.13s/it]

train:  19%|█▊        | 658/3515 [12:17<53:38,  1.13s/it]
overall:  16%|█▋        | 659/4000 [12:20<53:29,  1.04it/s]  

train:  19%|█▊        | 659/3515 [12:18<45:43,  1.04it/s]
overall:  16%|█▋        | 660/4000 [12:21<58:54,  1.06s/it]

train:  19%|█▉        | 660/3515 [12:19<50:21,  1.06s/it]
overall:  17%|█▋        | 661/4000 [12:22<1:02:11,  1.12s/it]

train:  19%|█▉        | 661/3515 [12:20<53:09,  1.12s/it]
overall:  17%|█▋        | 662/4000 [12:24<1:01:05,  1.10s/it]

train:  19%|█▉        | 662/3515 [12:21<52:13,  1.10s/it]
overall:  17%|█▋        | 663/4000 [12:25<1:04:35,  1.16s/it]

train:  19%|█▉        | 663/3515 [12:23<55:11,  1.16s/it]
overall:  17%|█▋        | 664/4000 [12:26<1:03:50,  1.15s/it]

train:  19%|█▉        | 664/3515 [12:24<54:33,  1.15s/it]
overall:  17%|█▋        | 665/4000 [12:27<1:04:59,  1.17s/it]

train:  19%|█▉        | 665/3515 [12:25<55:32,  1.17s/it]
overall:  17%|█▋        | 666/4000 [12:28<1:04:52,  1.17s/it]

train:  19%|█▉        | 666/3515 [12:26<55:26,  1.17s/it]
overall:  17%|█▋        | 667/4000 [12:29<1:01:57,  1.12s/it]

train:  19%|█▉        | 667/3515 [12:27<52:56,  1.12s/it]
overall:  17%|█▋        | 668/4000 [12:30<1:02:45,  1.13s/it]

train:  19%|█▉        | 668/3515 [12:28<53:36,  1.13s/it]
overall:  17%|█▋        | 669/4000 [12:31<59:50,  1.08s/it]  

train:  19%|█▉        | 669/3515 [12:29<51:08,  1.08s/it]
overall:  17%|█▋        | 670/4000 [12:32<51:34,  1.08it/s]

train:  19%|█▉        | 670/3515 [12:30<44:04,  1.08it/s]
overall:  17%|█▋        | 671/4000 [12:33<47:03,  1.18it/s]

train:  19%|█▉        | 671/3515 [12:31<40:12,  1.18it/s]
overall:  17%|█▋        | 672/4000 [12:34<51:49,  1.07it/s]

train:  19%|█▉        | 672/3515 [12:32<44:16,  1.07it/s]
overall:  17%|█▋        | 673/4000 [12:35<57:04,  1.03s/it]

train:  19%|█▉        | 673/3515 [12:33<48:45,  1.03s/it]
overall:  17%|█▋        | 674/4000 [12:35<44:47,  1.24it/s]

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overall:  17%|█▋        | 675/4000 [12:37<51:27,  1.08it/s]

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overall:  17%|█▋        | 676/4000 [12:38<55:50,  1.01s/it]

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overall:  17%|█▋        | 677/4000 [12:39<1:03:19,  1.14s/it]

train:  19%|█▉        | 677/3515 [12:37<54:04,  1.14s/it]
overall:  17%|█▋        | 678/4000 [12:40<1:04:22,  1.16s/it]

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overall:  17%|█▋        | 679/4000 [12:42<1:06:07,  1.19s/it]

train:  19%|█▉        | 679/3515 [12:40<56:28,  1.19s/it]
overall:  17%|█▋        | 680/4000 [12:43<1:07:35,  1.22s/it]

train:  19%|█▉        | 680/3515 [12:41<57:43,  1.22s/it]
overall:  17%|█▋        | 681/4000 [12:44<1:07:36,  1.22s/it]

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overall:  17%|█▋        | 682/4000 [12:45<1:07:26,  1.22s/it]

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overall:  17%|█▋        | 683/4000 [12:47<1:07:30,  1.22s/it]

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overall:  17%|█▋        | 685/4000 [12:49<1:05:40,  1.19s/it]

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overall:  17%|█▋        | 686/4000 [12:50<1:03:28,  1.15s/it]

train:  20%|█▉        | 686/3515 [12:48<54:10,  1.15s/it]
overall:  17%|█▋        | 687/4000 [12:50<51:31,  1.07it/s]  

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train:  28%|██▊       | 994/3515 [18:33<41:07,  1.02it/s]
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overall:  25%|██▍       | 999/4000 [18:42<1:02:05,  1.24s/it]

train:  28%|██▊       | 999/3515 [18:40<52:03,  1.24s/it]train loss: 216.04550170898438
train per: 1.1740953988186826
train loss: 117.48043060302734
train per: 0.9210572160971604
train loss: 52.59186553955078
train per: 0.9247652879979701
train loss: 33.88322067260742
train per: 0.9145324746642703
train loss: 22.929386138916016
train per: 0.9130277469980326
train loss: 20.40597152709961
train per: 0.9955708195168167
train loss: 21.64340591430664
train per: 0.9442653662837149
train loss: 16.603830337524414
train per: 0.8964495063186751
train loss: 14.341447830200195
train per: 0.8953938598904005
train loss: 14.278752326965332
train per: 0.894840549649987
train loss: 18.71815299987793
train per: 0.954466791393826
train loss: 16.879972457885742
train per: 0.9295051587699088
train loss: 16.054765701293945
train per: 0.9099168860668009
train loss: 13.890302658081055
train per: 0.9069299518038463
train loss: 13.072298049926758
train per: 0.9087916676901914
train loss: 22.152179718017578
train per: 0.9449480667071913
train loss: 19.582889556884766
train per: 0.9288124868171271
train loss: 15.011835098266602
train per: 0.9170478958675597
train loss: 11.58673095703125
train per: 1.001888959795788
train loss: 10.086359977722168
train per: 0.9490795616729965
train loss: 9.172423362731934
train per: 0.9592635726144163
train loss: 12.267129898071289
train per: 0.9984894667278073
train loss: 17.206329345703125
train per: 1.1127932420741946
train loss: 13.82343864440918
train per: 0.9686981445165184
train loss: 18.343935012817383
train per: 0.9886900388369896
train loss: 20.94668960571289
train per: 1.0051243653040691
train loss: 17.654178619384766
train per: 0.9245854327821541
train loss: 16.193384170532227
train per: 0.9742440117936597
train loss: 18.51413917541504
train per: 0.9500202860330662
train loss: 16.60849380493164
train per: 0.9108960537531966
train loss: 17.452077865600586
train per: 1.098856333181519
train loss: 16.504390716552734
train per: 0.9367916521044486
train loss: 15.959884643554688
train per: 0.9138144227915719
train loss: 19.81173324584961
train per: 0.9552291485664639
train loss: 20.427867889404297
train per: 0.98120764017252
train loss: 19.26866912841797
train per: 1.0103515927513036
train loss: 13.793588638305664
train per: 0.9282863396420754
train loss: 11.249279975891113
train per: 0.9577410183509951
train loss: 10.148298263549805
train per: 0.895424023874658
train loss: 8.71197509765625
train per: 0.8945845897379324
train loss: 13.085779190063477
train per: 0.9293642541049018
train loss: 12.586334228515625
train per: 0.8345496971502333
train loss: 7.3911237716674805
train per: 0.7808818028801197
train loss: 8.774336814880371
train per: 0.8008235651950119
train loss: 8.475985527038574
train per: 0.7988508545551931
train loss: 9.587872505187988
train per: 0.8460255561278297
train loss: 9.218525886535645
train per: 0.8005922108451436
train loss: 8.192144393920898
train per: 0.7930120106067696
train loss: 10.54969310760498
train per: 0.808095523009287
train loss: 10.157217025756836
train per: 0.7825529794252355
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 598/2703 [00:00<00:00, 5979.81it/s]


word -> phonemes:  44%|████▍     | 1196/2703 [00:00<00:00, 5299.55it/s]


word -> phonemes:  66%|██████▌   | 1790/2703 [00:00<00:00, 5571.16it/s]


word -> phonemes:  87%|████████▋ | 2360/2703 [00:00<00:00, 5617.35it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5570.98it/s]



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train:  54%|█████▍    | 1910/3515 [38:24<30:17,  1.13s/it]
overall:  48%|████▊     | 1911/4000 [38:26<33:14,  1.05it/s]

train:  54%|█████▍    | 1911/3515 [38:24<25:31,  1.05it/s]
overall:  48%|████▊     | 1912/4000 [38:28<35:01,  1.01s/it]

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overall:  48%|████▊     | 1914/4000 [38:30<35:27,  1.02s/it]

train:  54%|█████▍    | 1914/3515 [38:28<27:12,  1.02s/it]
overall:  48%|████▊     | 1915/4000 [38:31<34:36,  1.00it/s]

train:  54%|█████▍    | 1915/3515 [38:29<26:33,  1.00it/s]
overall:  48%|████▊     | 1916/4000 [38:31<27:18,  1.27it/s]

train:  55%|█████▍    | 1916/3515 [38:29<20:57,  1.27it/s]
overall:  48%|████▊     | 1917/4000 [38:32<31:42,  1.10it/s]

train:  55%|█████▍    | 1917/3515 [38:30<24:19,  1.10it/s]
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train:  55%|█████▍    | 1919/3515 [38:32<27:57,  1.05s/it]
overall:  48%|████▊     | 1920/4000 [38:36<37:49,  1.09s/it]

train:  55%|█████▍    | 1920/3515 [38:34<29:00,  1.09s/it]
overall:  48%|████▊     | 1921/4000 [38:37<39:02,  1.13s/it]

train:  55%|█████▍    | 1921/3515 [38:35<29:55,  1.13s/it]
overall:  48%|████▊     | 1922/4000 [38:38<38:34,  1.11s/it]

train:  55%|█████▍    | 1922/3515 [38:36<29:33,  1.11s/it]
overall:  48%|████▊     | 1923/4000 [38:39<40:04,  1.16s/it]

train:  55%|█████▍    | 1923/3515 [38:37<30:42,  1.16s/it]
overall:  48%|████▊     | 1924/4000 [38:40<40:29,  1.17s/it]

train:  55%|█████▍    | 1924/3515 [38:38<31:01,  1.17s/it]
overall:  48%|████▊     | 1925/4000 [38:42<45:24,  1.31s/it]

train:  55%|█████▍    | 1925/3515 [38:40<34:47,  1.31s/it]
overall:  48%|████▊     | 1926/4000 [38:43<44:43,  1.29s/it]

train:  55%|█████▍    | 1926/3515 [38:41<34:15,  1.29s/it]
overall:  48%|████▊     | 1927/4000 [38:44<34:13,  1.01it/s]

train:  55%|█████▍    | 1927/3515 [38:42<26:13,  1.01it/s]
overall:  48%|████▊     | 1928/4000 [38:45<36:39,  1.06s/it]

train:  55%|█████▍    | 1928/3515 [38:43<28:04,  1.06s/it]
overall:  48%|████▊     | 1929/4000 [38:46<37:26,  1.08s/it]

train:  55%|█████▍    | 1929/3515 [38:44<28:40,  1.08s/it]
overall:  48%|████▊     | 1930/4000 [38:47<38:33,  1.12s/it]

train:  55%|█████▍    | 1930/3515 [38:45<29:31,  1.12s/it]
overall:  48%|████▊     | 1931/4000 [38:48<38:57,  1.13s/it]

train:  55%|█████▍    | 1931/3515 [38:46<29:49,  1.13s/it]
overall:  48%|████▊     | 1932/4000 [38:50<39:47,  1.15s/it]

train:  55%|█████▍    | 1932/3515 [38:47<30:27,  1.15s/it]
overall:  48%|████▊     | 1933/4000 [38:51<39:18,  1.14s/it]

train:  55%|█████▍    | 1933/3515 [38:49<30:05,  1.14s/it]
overall:  48%|████▊     | 1934/4000 [38:52<39:47,  1.16s/it]

train:  55%|█████▌    | 1934/3515 [38:50<30:27,  1.16s/it]
overall:  48%|████▊     | 1935/4000 [38:53<40:56,  1.19s/it]

train:  55%|█████▌    | 1935/3515 [38:51<31:19,  1.19s/it]
overall:  48%|████▊     | 1936/4000 [38:54<41:13,  1.20s/it]

train:  55%|█████▌    | 1936/3515 [38:52<31:32,  1.20s/it]
overall:  48%|████▊     | 1937/4000 [38:56<41:01,  1.19s/it]

train:  55%|█████▌    | 1937/3515 [38:53<31:22,  1.19s/it]
overall:  48%|████▊     | 1938/4000 [38:57<41:08,  1.20s/it]

train:  55%|█████▌    | 1938/3515 [38:55<31:27,  1.20s/it]
overall:  48%|████▊     | 1939/4000 [38:58<41:04,  1.20s/it]

train:  55%|█████▌    | 1939/3515 [38:56<31:24,  1.20s/it]
overall:  48%|████▊     | 1940/4000 [38:59<39:49,  1.16s/it]

train:  55%|█████▌    | 1940/3515 [38:57<30:26,  1.16s/it]
overall:  49%|████▊     | 1941/4000 [39:00<39:54,  1.16s/it]

train:  55%|█████▌    | 1941/3515 [38:58<30:30,  1.16s/it]
overall:  49%|████▊     | 1942/4000 [39:01<40:28,  1.18s/it]

train:  55%|█████▌    | 1942/3515 [38:59<30:56,  1.18s/it]
overall:  49%|████▊     | 1943/4000 [39:03<40:42,  1.19s/it]

train:  55%|█████▌    | 1943/3515 [39:00<31:06,  1.19s/it]
overall:  49%|████▊     | 1944/4000 [39:04<40:06,  1.17s/it]

train:  55%|█████▌    | 1944/3515 [39:02<30:38,  1.17s/it]
overall:  49%|████▊     | 1945/4000 [39:05<40:27,  1.18s/it]

train:  55%|█████▌    | 1945/3515 [39:03<30:54,  1.18s/it]
overall:  49%|████▊     | 1946/4000 [39:06<40:54,  1.19s/it]

train:  55%|█████▌    | 1946/3515 [39:04<31:14,  1.19s/it]
overall:  49%|████▊     | 1947/4000 [39:07<41:12,  1.20s/it]

train:  55%|█████▌    | 1947/3515 [39:05<31:28,  1.20s/it]
overall:  49%|████▊     | 1948/4000 [39:08<37:49,  1.11s/it]

train:  55%|█████▌    | 1948/3515 [39:06<28:53,  1.11s/it]
overall:  49%|████▊     | 1949/4000 [39:10<41:37,  1.22s/it]

train:  55%|█████▌    | 1949/3515 [39:08<31:47,  1.22s/it]
overall:  49%|████▉     | 1950/4000 [39:11<42:06,  1.23s/it]

train:  55%|█████▌    | 1950/3515 [39:09<32:08,  1.23s/it]
overall:  49%|████▉     | 1951/4000 [39:12<41:50,  1.23s/it]

train:  56%|█████▌    | 1951/3515 [39:10<31:56,  1.23s/it]
overall:  49%|████▉     | 1952/4000 [39:13<38:55,  1.14s/it]

train:  56%|█████▌    | 1952/3515 [39:11<29:42,  1.14s/it]
overall:  49%|████▉     | 1953/4000 [39:14<40:21,  1.18s/it]

train:  56%|█████▌    | 1953/3515 [39:12<30:47,  1.18s/it]
overall:  49%|████▉     | 1954/4000 [39:16<40:38,  1.19s/it]

train:  56%|█████▌    | 1954/3515 [39:14<31:00,  1.19s/it]
overall:  49%|████▉     | 1955/4000 [39:17<39:40,  1.16s/it]

train:  56%|█████▌    | 1955/3515 [39:15<30:15,  1.16s/it]
overall:  49%|████▉     | 1956/4000 [39:18<39:13,  1.15s/it]

train:  56%|█████▌    | 1956/3515 [39:16<29:55,  1.15s/it]
overall:  49%|████▉     | 1957/4000 [39:19<39:19,  1.16s/it]

train:  56%|█████▌    | 1957/3515 [39:17<29:59,  1.16s/it]
overall:  49%|████▉     | 1958/4000 [39:20<39:33,  1.16s/it]

train:  56%|█████▌    | 1958/3515 [39:18<30:10,  1.16s/it]
overall:  49%|████▉     | 1959/4000 [39:21<40:01,  1.18s/it]

train:  56%|█████▌    | 1959/3515 [39:19<30:30,  1.18s/it]
overall:  49%|████▉     | 1960/4000 [39:23<40:38,  1.20s/it]

train:  56%|█████▌    | 1960/3515 [39:21<30:58,  1.20s/it]
overall:  49%|████▉     | 1961/4000 [39:24<41:20,  1.22s/it]

train:  56%|█████▌    | 1961/3515 [39:22<31:30,  1.22s/it]
overall:  49%|████▉     | 1962/4000 [39:25<41:23,  1.22s/it]

train:  56%|█████▌    | 1962/3515 [39:23<31:32,  1.22s/it]
overall:  49%|████▉     | 1963/4000 [39:26<40:32,  1.19s/it]

train:  56%|█████▌    | 1963/3515 [39:24<30:53,  1.19s/it]
overall:  49%|████▉     | 1964/4000 [39:28<40:47,  1.20s/it]

train:  56%|█████▌    | 1964/3515 [39:25<31:04,  1.20s/it]
overall:  49%|████▉     | 1965/4000 [39:28<38:02,  1.12s/it]

train:  56%|█████▌    | 1965/3515 [39:26<28:58,  1.12s/it]
overall:  49%|████▉     | 1966/4000 [39:30<39:07,  1.15s/it]

train:  56%|█████▌    | 1966/3515 [39:28<29:47,  1.15s/it]
overall:  49%|████▉     | 1967/4000 [39:31<38:41,  1.14s/it]

train:  56%|█████▌    | 1967/3515 [39:29<29:27,  1.14s/it]
overall:  49%|████▉     | 1968/4000 [39:31<32:13,  1.05it/s]

train:  56%|█████▌    | 1968/3515 [39:29<24:31,  1.05it/s]
overall:  49%|████▉     | 1969/4000 [39:32<34:10,  1.01s/it]

train:  56%|█████▌    | 1969/3515 [39:30<26:01,  1.01s/it]
overall:  49%|████▉     | 1970/4000 [39:34<36:16,  1.07s/it]

train:  56%|█████▌    | 1970/3515 [39:32<27:36,  1.07s/it]
overall:  49%|████▉     | 1971/4000 [39:35<37:24,  1.11s/it]

train:  56%|█████▌    | 1971/3515 [39:33<28:27,  1.11s/it]
overall:  49%|████▉     | 1972/4000 [39:36<38:28,  1.14s/it]

train:  56%|█████▌    | 1972/3515 [39:34<29:16,  1.14s/it]
overall:  49%|████▉     | 1973/4000 [39:38<43:16,  1.28s/it]

train:  56%|█████▌    | 1973/3515 [39:36<32:55,  1.28s/it]
overall:  49%|████▉     | 1974/4000 [39:39<42:28,  1.26s/it]

train:  56%|█████▌    | 1974/3515 [39:37<32:18,  1.26s/it]
overall:  49%|████▉     | 1975/4000 [39:39<34:06,  1.01s/it]

train:  56%|█████▌    | 1975/3515 [39:37<25:56,  1.01s/it]
overall:  49%|████▉     | 1976/4000 [39:41<36:08,  1.07s/it]

train:  56%|█████▌    | 1976/3515 [39:38<27:29,  1.07s/it]
overall:  49%|████▉     | 1977/4000 [39:42<37:36,  1.12s/it]

train:  56%|█████▌    | 1977/3515 [39:40<28:35,  1.12s/it]
overall:  49%|████▉     | 1978/4000 [39:43<38:00,  1.13s/it]

train:  56%|█████▋    | 1978/3515 [39:41<28:53,  1.13s/it]
overall:  49%|████▉     | 1979/4000 [39:44<38:45,  1.15s/it]

train:  56%|█████▋    | 1979/3515 [39:42<29:27,  1.15s/it]
overall:  50%|████▉     | 1980/4000 [39:45<38:51,  1.15s/it]

train:  56%|█████▋    | 1980/3515 [39:43<29:31,  1.15s/it]
overall:  50%|████▉     | 1981/4000 [39:46<37:53,  1.13s/it]

train:  56%|█████▋    | 1981/3515 [39:44<28:47,  1.13s/it]
overall:  50%|████▉     | 1982/4000 [39:48<38:46,  1.15s/it]

train:  56%|█████▋    | 1982/3515 [39:45<29:27,  1.15s/it]
overall:  50%|████▉     | 1983/4000 [39:49<40:01,  1.19s/it]

train:  56%|█████▋    | 1983/3515 [39:47<30:23,  1.19s/it]
overall:  50%|████▉     | 1984/4000 [39:50<40:42,  1.21s/it]

train:  56%|█████▋    | 1984/3515 [39:48<30:55,  1.21s/it]
overall:  50%|████▉     | 1985/4000 [39:51<40:43,  1.21s/it]

train:  56%|█████▋    | 1985/3515 [39:49<30:55,  1.21s/it]
overall:  50%|████▉     | 1986/4000 [39:53<40:45,  1.21s/it]

train:  57%|█████▋    | 1986/3515 [39:50<30:56,  1.21s/it]
overall:  50%|████▉     | 1987/4000 [39:54<40:37,  1.21s/it]

train:  57%|█████▋    | 1987/3515 [39:52<30:50,  1.21s/it]
overall:  50%|████▉     | 1988/4000 [39:55<39:47,  1.19s/it]

train:  57%|█████▋    | 1988/3515 [39:53<30:11,  1.19s/it]
overall:  50%|████▉     | 1989/4000 [39:56<39:44,  1.19s/it]

train:  57%|█████▋    | 1989/3515 [39:54<30:09,  1.19s/it]
overall:  50%|████▉     | 1990/4000 [39:57<39:25,  1.18s/it]

train:  57%|█████▋    | 1990/3515 [39:55<29:54,  1.18s/it]
overall:  50%|████▉     | 1991/4000 [39:58<39:30,  1.18s/it]

train:  57%|█████▋    | 1991/3515 [39:56<29:58,  1.18s/it]
overall:  50%|████▉     | 1992/4000 [40:00<39:59,  1.20s/it]

train:  57%|█████▋    | 1992/3515 [39:58<30:20,  1.20s/it]
overall:  50%|████▉     | 1993/4000 [40:01<40:37,  1.21s/it]

train:  57%|█████▋    | 1993/3515 [39:59<30:48,  1.21s/it]
overall:  50%|████▉     | 1994/4000 [40:02<38:35,  1.15s/it]

train:  57%|█████▋    | 1994/3515 [40:00<29:15,  1.15s/it]
overall:  50%|████▉     | 1995/4000 [40:03<38:22,  1.15s/it]

train:  57%|█████▋    | 1995/3515 [40:01<29:05,  1.15s/it]
overall:  50%|████▉     | 1996/4000 [40:04<38:34,  1.15s/it]

train:  57%|█████▋    | 1996/3515 [40:02<29:14,  1.15s/it]
overall:  50%|████▉     | 1997/4000 [40:06<43:00,  1.29s/it]

train:  57%|█████▋    | 1997/3515 [40:04<32:35,  1.29s/it]
overall:  50%|████▉     | 1998/4000 [40:07<42:20,  1.27s/it]

train:  57%|█████▋    | 1998/3515 [40:05<32:05,  1.27s/it]
overall:  50%|████▉     | 1999/4000 [40:08<41:18,  1.24s/it]

train:  57%|█████▋    | 1999/3515 [40:06<31:18,  1.24s/it]dev loss: 8.692615509033203
dev per: 0.7566285119667013
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 8.34950065612793
train per: 0.7979710144927536
train loss: 10.196868896484375
train per: 0.8466563899287969
train loss: 7.2857160568237305
train per: 0.7593489583333334
train loss: 9.461535453796387
train per: 0.8549503292778212
train loss: 7.142539978027344
train per: 0.8011623981092943
train loss: 5.507721900939941
train per: 0.7417449425976506
train loss: 6.779685020446777
train per: 0.864742834707499
train loss: 7.512197017669678
train per: 0.8548113157475717
train loss: 7.82058572769165
train per: 0.8035285347469561
train loss: 13.72131633758545
train per: 0.9906159312196577
train loss: 8.028770446777344
train per: 0.8038847922715243
train loss: 9.672792434692383
train per: 0.8103040015307709
train loss: 6.8932647705078125
train per: 0.7162289816739089
train loss: 6.462340354919434
train per: 0.7340139322603891
train loss: 7.905425071716309
train per: 0.804830486572845
train loss: 7.728096961975098
train per: 0.7539400494437577
train loss: 7.4657883644104
train per: 0.8942710369088168
train loss: 7.063835144042969
train per: 0.7876984629409233
train loss: 7.238938331604004
train per: 0.8011008981010824
train loss: 5.4451003074646
train per: 0.727910678113244
train loss: 5.954232692718506
train per: 0.7953881519084335
train loss: 5.616809368133545
train per: 0.7828264927577325
train loss: 5.263741493225098
train per: 0.7605382206240575
train loss: 4.985673904418945
train per: 0.7314135188358354
train loss: 11.32108211517334
train per: 0.8492314047148378
train loss: 9.912906646728516
train per: 0.7967837656743563
train loss: 11.97433853149414
train per: 0.792860976918948
train loss: 9.799077033996582
train per: 0.8455157852402976
train loss: 7.446540832519531
train per: 0.7121492302713698
train loss: 6.904487609863281
train per: 0.7491715523833801
train loss: 5.941551208496094
train per: 0.7079902374489633
train loss: 6.083849906921387
train per: 0.7661238862760854
train loss: 7.554325103759766
train per: 0.8740914618626092
train loss: 6.18977689743042
train per: 0.713490959666203
train loss: 6.773266792297363
train per: 0.7428007582249228
train loss: 7.830357551574707
train per: 0.7847731677993964
train loss: 10.735051155090332
train per: 0.8122764916243177
train loss: 8.937370300292969
train per: 0.753173766872397
train loss: 10.012002944946289
train per: 0.7742364520107369
train loss: 8.90743637084961
train per: 0.7585202519355722
train loss: 7.899401664733887
train per: 0.7333530849566698
train loss: 12.902816772460938
train per: 0.8160965896201446
train loss: 8.844900131225586
train per: 0.7569062155940346
train loss: 6.986932277679443
train per: 0.7115454655821294
train loss: 7.353640556335449
train per: 0.7317085339386834
train loss: 8.699033737182617
train per: 0.7981100323624596
train loss: 7.351505279541016
train per: 0.723132711688801
train loss: 5.538803577423096
train per: 0.7058085589850407
train loss: 5.72666597366333
train per: 0.7547301857082157
train loss: 5.547562599182129
train per: 0.7379047791701602
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  23%|██▎       | 613/2703 [00:00<00:00, 6119.65it/s]


word -> phonemes:  46%|████▌     | 1245/2703 [00:00<00:00, 6234.72it/s]


word -> phonemes:  70%|██████▉   | 1884/2703 [00:00<00:00, 6304.30it/s]


word -> phonemes:  93%|█████████▎| 2515/2703 [00:00<00:00, 6041.79it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5933.71it/s]



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overall:  74%|███████▍  | 2968/4000 [1:00:55<19:46,  1.15s/it]

train:  84%|████████▍ | 2968/3515 [1:00:53<10:28,  1.15s/it]
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train:  84%|████████▍ | 2969/3515 [1:00:54<10:26,  1.15s/it]
overall:  74%|███████▍  | 2970/4000 [1:00:58<19:59,  1.16s/it]

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train:  85%|████████▌ | 2994/3515 [1:01:20<08:41,  1.00s/it]
overall:  75%|███████▍  | 2995/4000 [1:01:24<17:47,  1.06s/it]

train:  85%|████████▌ | 2995/3515 [1:01:22<09:12,  1.06s/it]
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train:  85%|████████▌ | 2996/3515 [1:01:23<09:44,  1.13s/it]
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train:  85%|████████▌ | 2997/3515 [1:01:24<09:52,  1.14s/it]
overall:  75%|███████▍  | 2998/4000 [1:01:27<19:30,  1.17s/it]

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train:  85%|████████▌ | 2999/3515 [1:01:26<09:56,  1.16s/it]dev loss: 6.751726150512695
dev per: 0.7335067637877212
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 5.762282848358154
train per: 0.7416944136145024
train loss: 5.246232509613037
train per: 0.7190199965734146
train loss: 4.161852836608887
train per: 0.7016041490773127
train loss: 4.99188756942749
train per: 0.6975430099389537
train loss: 6.178814888000488
train per: 0.7262759269343102
train loss: 8.707406997680664
train per: 0.7832496088281314
train loss: 9.830862045288086
train per: 0.7809762571892052
train loss: 7.041082859039307
train per: 0.7107853306594749
train loss: 5.636014938354492
train per: 0.6894943486020226
train loss: 6.005639553070068
train per: 0.6986607627357774
train loss: 7.555039882659912
train per: 0.7609960272417707
train loss: 8.383472442626953
train per: 0.7471195210733732
train loss: 11.387205123901367
train per: 0.8346452757578029
train loss: 8.343607902526855
train per: 0.7286450483737663
train loss: 9.752004623413086
train per: 0.759909482443974
train loss: 7.340719699859619
train per: 0.6988149453993439
train loss: 7.598806858062744
train per: 0.7300673148840688
train loss: 11.988100051879883
train per: 0.7877868224749696
train loss: 9.45886516571045
train per: 0.7262654243263662
train loss: 8.642663955688477
train per: 0.7372022565816966
train loss: 7.350943088531494
train per: 0.6973112540033268
train loss: 6.498279571533203
train per: 0.7204942250872952
train loss: 6.372000694274902
train per: 0.7221099193797712
train loss: 8.253273010253906
train per: 0.773238617690927
train loss: 8.290389060974121
train per: 0.7155947340949951
train loss: 10.770910263061523
train per: 0.7831292245529144
train loss: 10.267836570739746
train per: 0.7400702854397897
train loss: 8.395379066467285
train per: 0.7317326475606439
train loss: 7.333670616149902
train per: 0.702586005694814
train loss: 6.582085609436035
train per: 0.735040424643059
train loss: 6.5387420654296875
train per: 0.6984615384615385
train loss: 6.8981032371521
train per: 0.753322908522283
train loss: 8.362272262573242
train per: 0.7712931417567768
train loss: 8.011396408081055
train per: 0.738519402716155
train loss: 6.663508415222168
train per: 0.7228651610316718
train loss: 9.180813789367676
train per: 0.7717723350661879
train loss: 6.894665718078613
train per: 0.7345042895578455
train loss: 6.338567733764648
train per: 0.7565591959274246
train loss: 7.052225589752197
train per: 0.7380952380952381
train loss: 5.714797019958496
train per: 0.7035933943532374
train loss: 6.092345714569092
train per: 0.7189592500478286
train loss: 6.803959846496582
train per: 0.7371389950349632
train loss: 8.546426773071289
train per: 0.7997210815836368
train loss: 8.713044166564941
train per: 0.7496898187568423
train loss: 11.846837043762207
train per: 0.8005767348342548
train loss: 7.757357120513916
train per: 0.734860883797054
train loss: 5.909790992736816
train per: 0.68396907869725
train loss: 5.494487762451172
train per: 0.6976148895959426
train loss: 8.38227653503418
train per: 0.7382706164931946
train loss: 9.264449119567871
train per: 0.7430017022886325
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 586/2703 [00:00<00:00, 5854.66it/s]


word -> phonemes:  44%|████▍     | 1184/2703 [00:00<00:00, 5926.40it/s]


word -> phonemes:  66%|██████▋   | 1794/2703 [00:00<00:00, 6003.52it/s]


word -> phonemes:  89%|████████▊ | 2395/2703 [00:00<00:00, 5945.17it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5896.82it/s]



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overall:  81%|████████  | 3224/4000 [1:08:31<15:55,  1.23s/it]

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overall:  81%|████████  | 3225/4000 [1:08:32<15:55,  1.23s/it]

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overall:  81%|████████  | 3226/4000 [1:08:33<16:04,  1.25s/it]

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overall:  81%|████████  | 3230/4000 [1:08:37<13:20,  1.04s/it]

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overall:  81%|████████  | 3231/4000 [1:08:39<14:11,  1.11s/it]

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overall:  81%|████████  | 3232/4000 [1:08:40<14:36,  1.14s/it]

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overall:  81%|████████  | 3233/4000 [1:08:41<14:35,  1.14s/it]

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train: 100%|██████████| 3515/3515 [1:13:55<00:00,  1.14s/it]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 [1:13:55<00:00,  1.26s/it]
dev loss: 7.479623317718506
dev per: 0.7458376690946931
train loss: 6.490045070648193
train per: 0.6877261406888774
train loss: 7.1907958984375
train per: 0.7555696261901412
train loss: 8.599761009216309
train per: 0.7235534361056682
train loss: 9.139089584350586
train per: 0.7272139785748017
train loss: 11.035842895507812
train per: 0.7929922675264645
train loss: 10.626413345336914
train per: 0.7724342953355607
train loss: 16.481977462768555
train per: 0.8310109694633857
train loss: 8.587936401367188
train per: 0.6890679274411424
train loss: 6.56142520904541
train per: 0.6990725447846525
train loss: 6.1696038246154785
train per: 0.7556456838417048
train loss: 5.4195990562438965
train per: 0.7062813872163647
train loss: 7.570936679840088
train per: 0.7077676332844506
train loss: 9.318055152893066
train per: 0.7353993436798342
train loss: 12.013946533203125
train per: 0.7847439664723734
train loss: 7.366827964782715
train per: 0.6793289394847214
train loss: 11.744361877441406
train per: 0.7794543668287276
train loss: 9.912395477294922
train per: 0.7433626303565736
train loss: 10.719843864440918
train per: 0.8278619942907767
train loss: 11.697376251220703
train per: 0.809711155378486
train loss: 8.716912269592285
train per: 0.7134845840605003
train loss: 8.60963249206543
train per: 0.7712692511949018
train loss: 10.856668472290039
train per: 0.7568402824030904
train loss: 11.071847915649414
train per: 0.7482550485605703
train loss: 9.367711067199707
train per: 0.7151205643887544
train loss: 7.4179229736328125
train per: 0.7092821639116865
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 424/3515 [00:00<00:00, 4233.02it/s]

word -> phonemes:  25%|██▍       | 868/3515 [00:00<00:00, 4353.25it/s]

word -> phonemes:  38%|███▊      | 1326/3515 [00:00<00:00, 4454.98it/s]

word -> phonemes:  51%|█████     | 1798/3515 [00:00<00:00, 4493.33it/s]

word -> phonemes:  64%|██████▍   | 2248/3515 [00:00<00:00, 4479.26it/s]

word -> phonemes:  77%|███████▋  | 2696/3515 [00:00<00:00, 4260.40it/s]

word -> phonemes:  89%|████████▉ | 3140/3515 [00:00<00:00, 4314.85it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4381.19it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3524/4000 [1:14:11<08:57,  1.13s/it]

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overall:  88%|████████▊ | 3528/4000 [1:14:16<09:13,  1.17s/it]

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overall:  88%|████████▊ | 3529/4000 [1:14:17<09:10,  1.17s/it]

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overall:  88%|████████▊ | 3530/4000 [1:14:18<09:10,  1.17s/it]

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overall:  88%|████████▊ | 3531/4000 [1:14:19<09:12,  1.18s/it]

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overall:  88%|████████▊ | 3532/4000 [1:14:20<09:21,  1.20s/it]

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overall:  88%|████████▊ | 3533/4000 [1:14:22<09:16,  1.19s/it]

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overall:  88%|████████▊ | 3534/4000 [1:14:23<09:18,  1.20s/it]

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overall:  88%|████████▊ | 3535/4000 [1:14:24<09:27,  1.22s/it]

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overall:  88%|████████▊ | 3536/4000 [1:14:25<09:41,  1.25s/it]

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overall:  88%|████████▊ | 3538/4000 [1:14:28<09:32,  1.24s/it]

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overall:  88%|████████▊ | 3539/4000 [1:14:29<09:34,  1.25s/it]

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overall:  88%|████████▊ | 3540/4000 [1:14:30<09:37,  1.26s/it]

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overall:  89%|████████▊ | 3541/4000 [1:14:32<09:26,  1.23s/it]

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overall:  89%|████████▊ | 3542/4000 [1:14:33<09:05,  1.19s/it]

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overall:  89%|████████▊ | 3543/4000 [1:14:34<09:06,  1.20s/it]

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overall:  89%|████████▊ | 3544/4000 [1:14:35<08:56,  1.18s/it]

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overall:  89%|████████▊ | 3545/4000 [1:14:36<09:06,  1.20s/it]

train:   1%|          | 30/3515 [00:37<1:09:46,  1.20s/it]
overall:  89%|████████▊ | 3546/4000 [1:14:37<08:52,  1.17s/it]

train:   1%|          | 31/3515 [00:38<1:08:05,  1.17s/it]
overall:  89%|████████▊ | 3547/4000 [1:14:38<07:08,  1.06it/s]

train:   1%|          | 32/3515 [00:38<54:57,  1.06it/s]  
overall:  89%|████████▊ | 3548/4000 [1:14:39<08:02,  1.07s/it]

train:   1%|          | 33/3515 [00:39<1:01:56,  1.07s/it]
overall:  89%|████████▊ | 3549/4000 [1:14:40<08:27,  1.12s/it]

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overall:  89%|████████▉ | 3550/4000 [1:14:42<08:35,  1.15s/it]

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overall:  89%|████████▉ | 3551/4000 [1:14:43<08:34,  1.15s/it]

train:   1%|          | 36/3515 [00:43<1:06:24,  1.15s/it]
overall:  89%|████████▉ | 3552/4000 [1:14:44<08:45,  1.17s/it]

train:   1%|          | 37/3515 [00:44<1:08:02,  1.17s/it]
overall:  89%|████████▉ | 3553/4000 [1:14:45<08:46,  1.18s/it]

train:   1%|          | 38/3515 [00:45<1:08:12,  1.18s/it]
overall:  89%|████████▉ | 3554/4000 [1:14:46<09:03,  1.22s/it]

train:   1%|          | 39/3515 [00:47<1:10:32,  1.22s/it]
overall:  89%|████████▉ | 3555/4000 [1:14:48<09:02,  1.22s/it]

train:   1%|          | 40/3515 [00:48<1:10:39,  1.22s/it]
overall:  89%|████████▉ | 3556/4000 [1:14:49<09:06,  1.23s/it]

train:   1%|          | 41/3515 [00:49<1:11:17,  1.23s/it]
overall:  89%|████████▉ | 3557/4000 [1:14:50<08:58,  1.22s/it]

train:   1%|          | 42/3515 [00:50<1:10:23,  1.22s/it]
overall:  89%|████████▉ | 3558/4000 [1:14:51<08:27,  1.15s/it]

train:   1%|          | 43/3515 [00:51<1:06:24,  1.15s/it]
overall:  89%|████████▉ | 3559/4000 [1:14:52<08:26,  1.15s/it]

train:   1%|▏         | 44/3515 [00:53<1:06:22,  1.15s/it]
overall:  89%|████████▉ | 3560/4000 [1:14:54<08:49,  1.20s/it]

train:   1%|▏         | 45/3515 [00:54<1:09:32,  1.20s/it]
overall:  89%|████████▉ | 3561/4000 [1:14:55<08:49,  1.21s/it]

train:   1%|▏         | 46/3515 [00:55<1:09:41,  1.21s/it]
overall:  89%|████████▉ | 3562/4000 [1:14:55<07:29,  1.03s/it]

train:   1%|▏         | 47/3515 [00:56<59:17,  1.03s/it]  
overall:  89%|████████▉ | 3563/4000 [1:14:56<07:05,  1.03it/s]

train:   1%|▏         | 48/3515 [00:57<56:17,  1.03it/s]
overall:  89%|████████▉ | 3564/4000 [1:14:57<07:45,  1.07s/it]

train:   1%|▏         | 49/3515 [00:58<1:01:42,  1.07s/it]
overall:  89%|████████▉ | 3565/4000 [1:14:59<08:07,  1.12s/it]

train:   1%|▏         | 50/3515 [00:59<1:04:40,  1.12s/it]
overall:  89%|████████▉ | 3566/4000 [1:15:00<08:08,  1.13s/it]

train:   1%|▏         | 51/3515 [01:00<1:04:59,  1.13s/it]
overall:  89%|████████▉ | 3567/4000 [1:15:01<08:25,  1.17s/it]

train:   1%|▏         | 52/3515 [01:01<1:07:19,  1.17s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:02<08:22,  1.16s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:07,  1.16s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:03<08:26,  1.18s/it]

train:   2%|▏         | 54/3515 [01:04<1:07:48,  1.18s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:05<08:17,  1.16s/it]

train:   2%|▏         | 55/3515 [01:05<1:06:41,  1.16s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:06<08:30,  1.19s/it]

train:   2%|▏         | 56/3515 [01:06<1:08:32,  1.19s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:07<08:49,  1.24s/it]

train:   2%|▏         | 57/3515 [01:08<1:11:20,  1.24s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:08<08:51,  1.25s/it]

train:   2%|▏         | 58/3515 [01:09<1:11:46,  1.25s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:10<08:54,  1.25s/it]

train:   2%|▏         | 59/3515 [01:10<1:12:16,  1.25s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:11<08:55,  1.26s/it]

train:   2%|▏         | 60/3515 [01:11<1:12:30,  1.26s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:12<08:54,  1.26s/it]

train:   2%|▏         | 61/3515 [01:13<1:12:35,  1.26s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:14<08:49,  1.25s/it]

train:   2%|▏         | 62/3515 [01:14<1:11:59,  1.25s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:15<08:41,  1.23s/it]

train:   2%|▏         | 63/3515 [01:15<1:11:01,  1.23s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:16<08:36,  1.23s/it]

train:   2%|▏         | 64/3515 [01:16<1:10:34,  1.23s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:17<08:33,  1.22s/it]

train:   2%|▏         | 65/3515 [01:18<1:10:16,  1.22s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:18<08:16,  1.19s/it]

train:   2%|▏         | 66/3515 [01:19<1:08:07,  1.19s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:19<08:17,  1.19s/it]

train:   2%|▏         | 67/3515 [01:20<1:08:26,  1.19s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:21<08:26,  1.22s/it]

train:   2%|▏         | 68/3515 [01:21<1:09:49,  1.22s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:22<08:24,  1.21s/it]

train:   2%|▏         | 69/3515 [01:22<1:09:39,  1.21s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:23<07:38,  1.10s/it]

train:   2%|▏         | 70/3515 [01:23<1:03:26,  1.10s/it]
overall:  90%|████████▉ | 3586/4000 [1:15:24<07:33,  1.09s/it]

train:   2%|▏         | 71/3515 [01:24<1:02:49,  1.09s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:25<07:54,  1.15s/it]

train:   2%|▏         | 72/3515 [01:25<1:05:58,  1.15s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:26<08:10,  1.19s/it]

train:   2%|▏         | 73/3515 [01:27<1:08:15,  1.19s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:28<08:14,  1.20s/it]

train:   2%|▏         | 74/3515 [01:28<1:08:56,  1.20s/it]
overall:  90%|████████▉ | 3590/4000 [1:15:29<08:24,  1.23s/it]

train:   2%|▏         | 75/3515 [01:29<1:10:30,  1.23s/it]
overall:  90%|████████▉ | 3591/4000 [1:15:30<08:26,  1.24s/it]

train:   2%|▏         | 76/3515 [01:31<1:10:58,  1.24s/it]
overall:  90%|████████▉ | 3592/4000 [1:15:31<08:20,  1.23s/it]

train:   2%|▏         | 77/3515 [01:32<1:10:21,  1.23s/it]
overall:  90%|████████▉ | 3593/4000 [1:15:33<08:25,  1.24s/it]

train:   2%|▏         | 78/3515 [01:33<1:11:07,  1.24s/it]
overall:  90%|████████▉ | 3594/4000 [1:15:34<08:10,  1.21s/it]

train:   2%|▏         | 79/3515 [01:34<1:09:11,  1.21s/it]
overall:  90%|████████▉ | 3595/4000 [1:15:35<08:01,  1.19s/it]

train:   2%|▏         | 80/3515 [01:35<1:07:59,  1.19s/it]
overall:  90%|████████▉ | 3596/4000 [1:15:36<08:04,  1.20s/it]

train:   2%|▏         | 81/3515 [01:37<1:08:40,  1.20s/it]
overall:  90%|████████▉ | 3597/4000 [1:15:37<08:11,  1.22s/it]

train:   2%|▏         | 82/3515 [01:38<1:09:49,  1.22s/it]
overall:  90%|████████▉ | 3598/4000 [1:15:39<08:17,  1.24s/it]

train:   2%|▏         | 83/3515 [01:39<1:10:46,  1.24s/it]
overall:  90%|████████▉ | 3599/4000 [1:15:40<08:20,  1.25s/it]

train:   2%|▏         | 84/3515 [01:40<1:11:24,  1.25s/it]
overall:  90%|█████████ | 3600/4000 [1:15:41<08:31,  1.28s/it]

train:   2%|▏         | 85/3515 [01:42<1:13:09,  1.28s/it]
overall:  90%|█████████ | 3601/4000 [1:15:43<08:26,  1.27s/it]

train:   2%|▏         | 86/3515 [01:43<1:12:31,  1.27s/it]
overall:  90%|█████████ | 3602/4000 [1:15:44<08:11,  1.24s/it]

train:   2%|▏         | 87/3515 [01:44<1:10:36,  1.24s/it]
overall:  90%|█████████ | 3603/4000 [1:15:45<08:09,  1.23s/it]

train:   3%|▎         | 88/3515 [01:45<1:10:21,  1.23s/it]
overall:  90%|█████████ | 3604/4000 [1:15:46<07:58,  1.21s/it]

train:   3%|▎         | 89/3515 [01:46<1:08:56,  1.21s/it]
overall:  90%|█████████ | 3605/4000 [1:15:47<07:52,  1.20s/it]

train:   3%|▎         | 90/3515 [01:48<1:08:17,  1.20s/it]
overall:  90%|█████████ | 3606/4000 [1:15:48<07:46,  1.18s/it]

train:   3%|▎         | 91/3515 [01:49<1:07:31,  1.18s/it]
overall:  90%|█████████ | 3607/4000 [1:15:50<07:46,  1.19s/it]

train:   3%|▎         | 92/3515 [01:50<1:07:45,  1.19s/it]
overall:  90%|█████████ | 3608/4000 [1:15:51<08:02,  1.23s/it]

train:   3%|▎         | 93/3515 [01:51<1:10:10,  1.23s/it]
overall:  90%|█████████ | 3609/4000 [1:15:51<06:21,  1.02it/s]

train:   3%|▎         | 94/3515 [01:52<55:40,  1.02it/s]  
overall:  90%|█████████ | 3610/4000 [1:15:52<06:17,  1.03it/s]

train:   3%|▎         | 95/3515 [01:53<55:10,  1.03it/s]
overall:  90%|█████████ | 3611/4000 [1:15:53<06:37,  1.02s/it]

train:   3%|▎         | 96/3515 [01:54<58:11,  1.02s/it]
overall:  90%|█████████ | 3612/4000 [1:15:55<06:49,  1.06s/it]

train:   3%|▎         | 97/3515 [01:55<1:00:07,  1.06s/it]
overall:  90%|█████████ | 3613/4000 [1:15:56<06:56,  1.08s/it]

train:   3%|▎         | 98/3515 [01:56<1:01:15,  1.08s/it]
overall:  90%|█████████ | 3614/4000 [1:15:57<07:06,  1.11s/it]

train:   3%|▎         | 99/3515 [01:57<1:02:55,  1.11s/it]
overall:  90%|█████████ | 3615/4000 [1:15:58<07:13,  1.13s/it]

train:   3%|▎         | 100/3515 [01:58<1:04:03,  1.13s/it]
overall:  90%|█████████ | 3616/4000 [1:15:59<07:27,  1.16s/it]

train:   3%|▎         | 101/3515 [02:00<1:06:15,  1.16s/it]
overall:  90%|█████████ | 3617/4000 [1:16:01<07:32,  1.18s/it]

train:   3%|▎         | 102/3515 [02:01<1:07:08,  1.18s/it]
overall:  90%|█████████ | 3618/4000 [1:16:02<07:40,  1.21s/it]

train:   3%|▎         | 103/3515 [02:02<1:08:34,  1.21s/it]
overall:  90%|█████████ | 3619/4000 [1:16:02<06:32,  1.03s/it]

train:   3%|▎         | 104/3515 [02:03<58:31,  1.03s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:03<05:41,  1.11it/s]

train:   3%|▎         | 105/3515 [02:03<51:06,  1.11it/s]
overall:  91%|█████████ | 3621/4000 [1:16:03<04:27,  1.42it/s]

train:   3%|▎         | 106/3515 [02:04<40:08,  1.42it/s]
overall:  91%|█████████ | 3622/4000 [1:16:04<05:22,  1.17it/s]

train:   3%|▎         | 107/3515 [02:05<48:31,  1.17it/s]
overall:  91%|█████████ | 3623/4000 [1:16:06<06:11,  1.02it/s]

train:   3%|▎         | 108/3515 [02:06<55:52,  1.02it/s]
overall:  91%|█████████ | 3624/4000 [1:16:07<06:27,  1.03s/it]

train:   3%|▎         | 109/3515 [02:07<58:32,  1.03s/it]
overall:  91%|█████████ | 3625/4000 [1:16:07<05:21,  1.17it/s]

train:   3%|▎         | 110/3515 [02:08<48:34,  1.17it/s]
overall:  91%|█████████ | 3626/4000 [1:16:09<06:07,  1.02it/s]

train:   3%|▎         | 111/3515 [02:09<55:46,  1.02it/s]
overall:  91%|█████████ | 3627/4000 [1:16:10<06:24,  1.03s/it]

train:   3%|▎         | 112/3515 [02:10<58:27,  1.03s/it]
overall:  91%|█████████ | 3628/4000 [1:16:11<06:53,  1.11s/it]

train:   3%|▎         | 113/3515 [02:11<1:03:05,  1.11s/it]
overall:  91%|█████████ | 3629/4000 [1:16:12<07:01,  1.14s/it]

train:   3%|▎         | 114/3515 [02:13<1:04:25,  1.14s/it]
overall:  91%|█████████ | 3630/4000 [1:16:13<05:26,  1.13it/s]

train:   3%|▎         | 115/3515 [02:13<49:59,  1.13it/s]  
overall:  91%|█████████ | 3631/4000 [1:16:14<06:00,  1.02it/s]

train:   3%|▎         | 116/3515 [02:14<55:24,  1.02it/s]
overall:  91%|█████████ | 3632/4000 [1:16:15<06:29,  1.06s/it]

train:   3%|▎         | 117/3515 [02:15<59:57,  1.06s/it]
overall:  91%|█████████ | 3633/4000 [1:16:16<06:13,  1.02s/it]

train:   3%|▎         | 118/3515 [02:16<57:35,  1.02s/it]
overall:  91%|█████████ | 3634/4000 [1:16:17<06:29,  1.07s/it]

train:   3%|▎         | 119/3515 [02:17<1:00:18,  1.07s/it]
overall:  91%|█████████ | 3635/4000 [1:16:18<06:16,  1.03s/it]

train:   3%|▎         | 120/3515 [02:18<58:25,  1.03s/it]  
overall:  91%|█████████ | 3636/4000 [1:16:19<06:40,  1.10s/it]

train:   3%|▎         | 121/3515 [02:20<1:02:09,  1.10s/it]
overall:  91%|█████████ | 3637/4000 [1:16:20<06:29,  1.07s/it]

train:   3%|▎         | 122/3515 [02:21<1:00:38,  1.07s/it]
overall:  91%|█████████ | 3638/4000 [1:16:22<06:41,  1.11s/it]

train:   3%|▎         | 123/3515 [02:22<1:02:39,  1.11s/it]
overall:  91%|█████████ | 3639/4000 [1:16:23<06:57,  1.16s/it]

train:   4%|▎         | 124/3515 [02:23<1:05:23,  1.16s/it]
overall:  91%|█████████ | 3640/4000 [1:16:24<06:49,  1.14s/it]

train:   4%|▎         | 125/3515 [02:24<1:04:15,  1.14s/it]
overall:  91%|█████████ | 3641/4000 [1:16:24<05:30,  1.09it/s]

train:   4%|▎         | 126/3515 [02:25<51:57,  1.09it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:26<06:02,  1.01s/it]

train:   4%|▎         | 127/3515 [02:26<57:12,  1.01s/it]
overall:  91%|█████████ | 3643/4000 [1:16:27<06:02,  1.02s/it]

train:   4%|▎         | 128/3515 [02:27<57:23,  1.02s/it]
overall:  91%|█████████ | 3644/4000 [1:16:28<06:30,  1.10s/it]

train:   4%|▎         | 129/3515 [02:28<1:01:52,  1.10s/it]
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train:   5%|▌         | 185/3515 [03:32<1:02:46,  1.13s/it]
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overall:  93%|█████████▎| 3702/4000 [1:17:33<04:55,  1.01it/s]

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train:   5%|▌         | 188/3515 [03:35<58:21,  1.05s/it]
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overall:  99%|█████████▉| 3974/4000 [1:22:42<00:28,  1.10s/it]

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overall: 100%|█████████▉| 3999/4000 [1:23:10<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [09:10<55:09,  1.09s/it]train loss: 7.557853698730469
train per: 0.7281030670127873
train loss: 8.191058158874512
train per: 0.741280321515717
train loss: 7.317569732666016
train per: 0.7297220205372886
train loss: 6.117091178894043
train per: 0.7093984514592019
train loss: 5.054215431213379
train per: 0.6850096120237679
train loss: 5.373684406280518
train per: 0.7084143515435634
train loss: 12.572309494018555
train per: 0.8152776672238584
train loss: 14.564804077148438
train per: 0.7808744873240112
train loss: 10.42878246307373
train per: 0.7163092917478883
train loss: 6.961187839508057
train per: 0.7046234509056244
train loss: 6.388206481933594
train per: 0.6851168795241828
train loss: 7.770203590393066
train per: 0.7235047484340271
train loss: 8.359747886657715
train per: 0.7223998781787726
train loss: 9.216022491455078
train per: 0.7392297885646935
train loss: 8.998744010925293
train per: 0.7372183602031258
train loss: 7.4897661209106445
train per: 0.7207404933441481
train loss: 5.92911434173584
train per: 0.6630471584038694
train loss: 6.55179500579834
train per: 0.6882231695320186
train loss: 9.213509559631348
train per: 0.7771388078820419
train loss: 9.295164108276367
train per: 0.7204202599913506
train loss: 9.743406295776367
train per: 0.7441523028043929
train loss: 9.642098426818848
train per: 0.7261126990608412
train loss: 8.034031867980957
train per: 0.6971530988622786
train loss: 5.804323673248291
train per: 0.6671308153268518
train loss: 7.203461647033691
train per: 0.7715724123539232
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 562/2703 [00:00<00:00, 5617.54it/s]


word -> phonemes:  42%|████▏     | 1142/2703 [00:00<00:00, 5722.16it/s]


word -> phonemes:  64%|██████▍   | 1733/2703 [00:00<00:00, 5803.90it/s]


word -> phonemes:  86%|████████▌ | 2314/2703 [00:00<00:00, 5779.42it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5722.21it/s]



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overall: 100%|█████████▉| 3999/4000 [1:26:00<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [12:00<55:09,  1.09s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:00<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [12:00<55:09,  1.09s/it]
overall: 100%|██████████| 4000/4000 [1:26:00<00:00, 51.73s/it]

train:  14%|█▍        | 485/3515 [12:00<43:32:28, 51.73s/it]/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [12:01<1:15:04,  1.49s/it] 

overall: 100%|██████████| 4000/4000 [1:26:00<00:00,  1.29s/it]
dev loss: 9.202491760253906
dev per: 0.8613735691987513
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt