/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:  13%|█▎        | 452/3515 [00:00<00:00, 4517.68it/s]

word -> phonemes:  26%|██▌       | 904/3515 [00:00<00:00, 4468.11it/s]

word -> phonemes:  40%|███▉      | 1397/3515 [00:00<00:00, 4675.09it/s]

word -> phonemes:  53%|█████▎    | 1880/3515 [00:00<00:00, 4732.32it/s]

word -> phonemes:  67%|██████▋   | 2354/3515 [00:00<00:00, 4582.34it/s]

word -> phonemes:  80%|████████  | 2814/3515 [00:00<00:00, 4568.41it/s]

word -> phonemes:  93%|█████████▎| 3275/3515 [00:00<00:00, 4577.38it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4583.20it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:56:08,  4.44s/it]

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overall:   0%|          | 7/4000 [00:11<1:27:26,  1.31s/it]

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overall:   0%|          | 9/4000 [00:13<1:24:55,  1.28s/it]

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overall:   0%|          | 16/4000 [00:20<1:11:50,  1.08s/it]

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overall:   0%|          | 17/4000 [00:21<1:12:22,  1.09s/it]

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overall:   0%|          | 18/4000 [00:22<1:17:11,  1.16s/it]

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overall:   1%|          | 21/4000 [00:25<1:11:40,  1.08s/it]

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overall:   1%|          | 22/4000 [00:26<1:14:46,  1.13s/it]

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

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overall:   1%|          | 25/4000 [00:30<1:14:24,  1.12s/it]

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overall:   1%|          | 26/4000 [00:31<1:15:34,  1.14s/it]

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overall:   1%|          | 27/4000 [00:32<1:17:49,  1.18s/it]

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overall:   1%|          | 28/4000 [00:33<1:17:27,  1.17s/it]

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overall:   1%|          | 29/4000 [00:35<1:16:52,  1.16s/it]

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overall:   1%|          | 30/4000 [00:36<1:18:33,  1.19s/it]

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overall:   1%|          | 31/4000 [00:37<1:18:31,  1.19s/it]

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overall:   1%|          | 32/4000 [00:38<1:18:41,  1.19s/it]

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overall:   1%|          | 33/4000 [00:39<1:21:10,  1.23s/it]

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overall:   1%|          | 34/4000 [00:40<1:02:07,  1.06it/s]

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overall:   1%|          | 35/4000 [00:41<1:07:56,  1.03s/it]

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overall:   1%|          | 36/4000 [00:42<1:11:50,  1.09s/it]

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overall:   1%|          | 37/4000 [00:43<1:12:06,  1.09s/it]

train:   1%|          | 37/3515 [00:41<1:03:16,  1.09s/it]
overall:   1%|          | 38/4000 [00:44<1:13:06,  1.11s/it]

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overall:   1%|          | 39/4000 [00:46<1:12:07,  1.09s/it]

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overall:   1%|          | 40/4000 [00:46<1:05:16,  1.01it/s]

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overall:   1%|          | 41/4000 [00:47<1:08:16,  1.03s/it]

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overall:   1%|          | 42/4000 [00:49<1:13:13,  1.11s/it]

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overall:   1%|          | 45/4000 [00:52<1:03:29,  1.04it/s]

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overall:   1%|          | 46/4000 [00:52<52:42,  1.25it/s]  

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overall:   1%|          | 49/4000 [00:55<1:06:05,  1.00s/it]

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overall:   1%|▏         | 51/4000 [00:57<1:09:52,  1.06s/it]

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overall:   1%|▏         | 53/4000 [01:00<1:14:45,  1.14s/it]

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overall:   1%|▏         | 54/4000 [01:01<1:14:34,  1.13s/it]

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overall:   1%|▏         | 58/4000 [01:06<1:20:45,  1.23s/it]

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overall:  12%|█▏        | 460/4000 [08:38<1:08:41,  1.16s/it]

train:  13%|█▎        | 460/3515 [08:37<59:16,  1.16s/it]
overall:  12%|█▏        | 461/4000 [08:40<1:09:08,  1.17s/it]

train:  13%|█▎        | 461/3515 [08:38<59:39,  1.17s/it]
overall:  12%|█▏        | 462/4000 [08:41<1:08:43,  1.17s/it]

train:  13%|█▎        | 462/3515 [08:39<59:18,  1.17s/it]
overall:  12%|█▏        | 463/4000 [08:42<1:10:01,  1.19s/it]

train:  13%|█▎        | 463/3515 [08:40<1:00:25,  1.19s/it]
overall:  12%|█▏        | 464/4000 [08:43<1:08:07,  1.16s/it]

train:  13%|█▎        | 464/3515 [08:41<58:46,  1.16s/it]  
overall:  12%|█▏        | 465/4000 [08:44<1:08:02,  1.15s/it]

train:  13%|█▎        | 465/3515 [08:42<58:42,  1.15s/it]
overall:  12%|█▏        | 466/4000 [08:45<1:08:31,  1.16s/it]

train:  13%|█▎        | 466/3515 [08:44<59:07,  1.16s/it]
overall:  12%|█▏        | 467/4000 [08:47<1:10:19,  1.19s/it]

train:  13%|█▎        | 467/3515 [08:45<1:00:40,  1.19s/it]
overall:  12%|█▏        | 468/4000 [08:47<58:52,  1.00s/it]  

train:  13%|█▎        | 468/3515 [08:45<50:47,  1.00s/it]  
overall:  12%|█▏        | 469/4000 [08:48<1:02:02,  1.05s/it]

train:  13%|█▎        | 469/3515 [08:47<53:31,  1.05s/it]
overall:  12%|█▏        | 470/4000 [08:50<1:03:24,  1.08s/it]

train:  13%|█▎        | 470/3515 [08:48<54:42,  1.08s/it]
overall:  12%|█▏        | 471/4000 [08:51<1:05:49,  1.12s/it]

train:  13%|█▎        | 471/3515 [08:49<56:46,  1.12s/it]
overall:  12%|█▏        | 472/4000 [08:52<1:07:13,  1.14s/it]

train:  13%|█▎        | 472/3515 [08:50<57:58,  1.14s/it]
overall:  12%|█▏        | 473/4000 [08:53<1:09:44,  1.19s/it]

train:  13%|█▎        | 473/3515 [08:51<1:00:09,  1.19s/it]
overall:  12%|█▏        | 474/4000 [08:54<57:39,  1.02it/s]  

train:  13%|█▎        | 474/3515 [08:52<49:43,  1.02it/s]  
overall:  12%|█▏        | 475/4000 [08:55<54:04,  1.09it/s]

train:  14%|█▎        | 475/3515 [08:53<46:38,  1.09it/s]
overall:  12%|█▏        | 476/4000 [08:56<59:25,  1.01s/it]

train:  14%|█▎        | 476/3515 [08:54<51:15,  1.01s/it]
overall:  12%|█▏        | 477/4000 [08:57<1:03:45,  1.09s/it]

train:  14%|█▎        | 477/3515 [08:55<54:59,  1.09s/it]
overall:  12%|█▏        | 478/4000 [08:58<1:05:51,  1.12s/it]

train:  14%|█▎        | 478/3515 [08:56<56:47,  1.12s/it]
overall:  12%|█▏        | 479/4000 [08:59<1:06:27,  1.13s/it]

train:  14%|█▎        | 479/3515 [08:58<57:18,  1.13s/it]
overall:  12%|█▏        | 480/4000 [09:00<1:03:08,  1.08s/it]

train:  14%|█▎        | 480/3515 [08:59<54:26,  1.08s/it]
overall:  12%|█▏        | 481/4000 [09:02<1:03:54,  1.09s/it]

train:  14%|█▎        | 481/3515 [09:00<55:05,  1.09s/it]
overall:  12%|█▏        | 482/4000 [09:03<1:06:32,  1.13s/it]

train:  14%|█▎        | 482/3515 [09:01<57:22,  1.13s/it]
overall:  12%|█▏        | 483/4000 [09:04<1:06:02,  1.13s/it]

train:  14%|█▎        | 483/3515 [09:02<56:56,  1.13s/it]
overall:  12%|█▏        | 484/4000 [09:05<1:07:11,  1.15s/it]

train:  14%|█▍        | 484/3515 [09:03<57:55,  1.15s/it]
overall:  12%|█▏        | 485/4000 [09:06<1:03:43,  1.09s/it]

train:  14%|█▍        | 485/3515 [09:04<54:55,  1.09s/it]
overall:  12%|█▏        | 486/4000 [09:07<1:06:47,  1.14s/it]

train:  14%|█▍        | 486/3515 [09:05<57:34,  1.14s/it]
overall:  12%|█▏        | 487/4000 [09:09<1:09:29,  1.19s/it]

train:  14%|█▍        | 487/3515 [09:07<59:53,  1.19s/it]
overall:  12%|█▏        | 488/4000 [09:09<55:08,  1.06it/s]  

train:  14%|█▍        | 488/3515 [09:07<47:31,  1.06it/s]
overall:  12%|█▏        | 489/4000 [09:10<55:42,  1.05it/s]

train:  14%|█▍        | 489/3515 [09:08<48:00,  1.05it/s]
overall:  12%|█▏        | 490/4000 [09:11<1:00:15,  1.03s/it]

train:  14%|█▍        | 490/3515 [09:09<51:56,  1.03s/it]
overall:  12%|█▏        | 491/4000 [09:12<1:02:02,  1.06s/it]

train:  14%|█▍        | 491/3515 [09:10<53:27,  1.06s/it]
overall:  12%|█▏        | 492/4000 [09:13<53:06,  1.10it/s]  

train:  14%|█▍        | 492/3515 [09:11<45:45,  1.10it/s]
overall:  12%|█▏        | 493/4000 [09:14<57:34,  1.02it/s]

train:  14%|█▍        | 493/3515 [09:12<49:36,  1.02it/s]
overall:  12%|█▏        | 494/4000 [09:15<1:00:24,  1.03s/it]

train:  14%|█▍        | 494/3515 [09:13<52:03,  1.03s/it]
overall:  12%|█▏        | 495/4000 [09:16<1:02:39,  1.07s/it]

train:  14%|█▍        | 495/3515 [09:14<53:58,  1.07s/it]
overall:  12%|█▏        | 496/4000 [09:17<1:03:29,  1.09s/it]

train:  14%|█▍        | 496/3515 [09:16<54:41,  1.09s/it]
overall:  12%|█▏        | 497/4000 [09:19<1:05:19,  1.12s/it]

train:  14%|█▍        | 497/3515 [09:17<56:16,  1.12s/it]
overall:  12%|█▏        | 498/4000 [09:20<1:07:16,  1.15s/it]

train:  14%|█▍        | 498/3515 [09:18<57:57,  1.15s/it]
overall:  12%|█▏        | 499/4000 [09:21<1:04:25,  1.10s/it]

train:  14%|█▍        | 499/3515 [09:19<55:29,  1.10s/it]
overall:  12%|█▎        | 500/4000 [09:21<55:13,  1.06it/s]  

train:  14%|█▍        | 500/3515 [09:20<47:34,  1.06it/s]
overall:  13%|█▎        | 501/4000 [09:23<1:00:06,  1.03s/it]

train:  14%|█▍        | 501/3515 [09:21<51:46,  1.03s/it]
overall:  13%|█▎        | 502/4000 [09:24<1:03:15,  1.09s/it]

train:  14%|█▍        | 502/3515 [09:22<54:29,  1.09s/it]
overall:  13%|█▎        | 503/4000 [09:25<1:05:42,  1.13s/it]

train:  14%|█▍        | 503/3515 [09:23<56:36,  1.13s/it]
overall:  13%|█▎        | 504/4000 [09:26<1:06:56,  1.15s/it]

train:  14%|█▍        | 504/3515 [09:24<57:39,  1.15s/it]
overall:  13%|█▎        | 505/4000 [09:28<1:09:45,  1.20s/it]

train:  14%|█▍        | 505/3515 [09:26<1:00:05,  1.20s/it]
overall:  13%|█▎        | 506/4000 [09:29<1:06:27,  1.14s/it]

train:  14%|█▍        | 506/3515 [09:27<57:14,  1.14s/it]  
overall:  13%|█▎        | 507/4000 [09:30<1:07:53,  1.17s/it]

train:  14%|█▍        | 507/3515 [09:28<58:28,  1.17s/it]
overall:  13%|█▎        | 508/4000 [09:31<1:09:30,  1.19s/it]

train:  14%|█▍        | 508/3515 [09:29<59:51,  1.19s/it]
overall:  13%|█▎        | 509/4000 [09:32<1:10:20,  1.21s/it]

train:  14%|█▍        | 509/3515 [09:30<1:00:33,  1.21s/it]
overall:  13%|█▎        | 510/4000 [09:34<1:10:13,  1.21s/it]

train:  15%|█▍        | 510/3515 [09:32<1:00:27,  1.21s/it]
overall:  13%|█▎        | 511/4000 [09:35<1:09:32,  1.20s/it]

train:  15%|█▍        | 511/3515 [09:33<59:52,  1.20s/it]  
overall:  13%|█▎        | 512/4000 [09:36<1:08:22,  1.18s/it]

train:  15%|█▍        | 512/3515 [09:34<58:51,  1.18s/it]
overall:  13%|█▎        | 513/4000 [09:37<1:10:11,  1.21s/it]

train:  15%|█▍        | 513/3515 [09:35<1:00:26,  1.21s/it]
overall:  13%|█▎        | 514/4000 [09:38<1:08:15,  1.17s/it]

train:  15%|█▍        | 514/3515 [09:36<58:45,  1.17s/it]  
overall:  13%|█▎        | 515/4000 [09:39<1:06:16,  1.14s/it]

train:  15%|█▍        | 515/3515 [09:37<57:02,  1.14s/it]
overall:  13%|█▎        | 516/4000 [09:41<1:08:17,  1.18s/it]

train:  15%|█▍        | 516/3515 [09:39<58:47,  1.18s/it]
overall:  13%|█▎        | 517/4000 [09:42<1:07:45,  1.17s/it]

train:  15%|█▍        | 517/3515 [09:40<58:19,  1.17s/it]
overall:  13%|█▎        | 518/4000 [09:42<56:52,  1.02it/s]  

train:  15%|█▍        | 518/3515 [09:40<48:56,  1.02it/s]
overall:  13%|█▎        | 519/4000 [09:43<1:01:57,  1.07s/it]

train:  15%|█▍        | 519/3515 [09:42<53:19,  1.07s/it]
overall:  13%|█▎        | 520/4000 [09:45<1:03:34,  1.10s/it]

train:  15%|█▍        | 520/3515 [09:43<54:42,  1.10s/it]
overall:  13%|█▎        | 521/4000 [09:46<1:05:53,  1.14s/it]

train:  15%|█▍        | 521/3515 [09:44<56:42,  1.14s/it]
overall:  13%|█▎        | 522/4000 [09:47<1:08:59,  1.19s/it]

train:  15%|█▍        | 522/3515 [09:45<59:22,  1.19s/it]
overall:  13%|█▎        | 523/4000 [09:48<1:09:35,  1.20s/it]

train:  15%|█▍        | 523/3515 [09:47<59:52,  1.20s/it]
overall:  13%|█▎        | 524/4000 [09:50<1:09:49,  1.21s/it]

train:  15%|█▍        | 524/3515 [09:48<1:00:05,  1.21s/it]
overall:  13%|█▎        | 525/4000 [09:51<1:10:53,  1.22s/it]

train:  15%|█▍        | 525/3515 [09:49<1:00:59,  1.22s/it]
overall:  13%|█▎        | 526/4000 [09:52<1:11:32,  1.24s/it]

train:  15%|█▍        | 526/3515 [09:50<1:01:33,  1.24s/it]
overall:  13%|█▎        | 527/4000 [09:53<1:10:47,  1.22s/it]

train:  15%|█▍        | 527/3515 [09:51<1:00:53,  1.22s/it]
overall:  13%|█▎        | 528/4000 [09:54<53:31,  1.08it/s]  

train:  15%|█▌        | 528/3515 [09:52<46:02,  1.08it/s]  
overall:  13%|█▎        | 529/4000 [09:55<58:51,  1.02s/it]

train:  15%|█▌        | 529/3515 [09:53<50:38,  1.02s/it]
overall:  13%|█▎        | 530/4000 [09:56<1:03:04,  1.09s/it]

train:  15%|█▌        | 530/3515 [09:54<54:15,  1.09s/it]
overall:  13%|█▎        | 531/4000 [09:57<54:41,  1.06it/s]  

train:  15%|█▌        | 531/3515 [09:55<47:02,  1.06it/s]
overall:  13%|█▎        | 532/4000 [09:58<59:31,  1.03s/it]

train:  15%|█▌        | 532/3515 [09:56<51:11,  1.03s/it]
overall:  13%|█▎        | 533/4000 [09:59<1:01:41,  1.07s/it]

train:  15%|█▌        | 533/3515 [09:57<53:03,  1.07s/it]
overall:  13%|█▎        | 534/4000 [10:00<54:29,  1.06it/s]  

train:  15%|█▌        | 534/3515 [09:58<46:51,  1.06it/s]
overall:  13%|█▎        | 535/4000 [10:01<59:06,  1.02s/it]

train:  15%|█▌        | 535/3515 [09:59<50:49,  1.02s/it]
overall:  13%|█▎        | 536/4000 [10:02<1:01:13,  1.06s/it]

train:  15%|█▌        | 536/3515 [10:00<52:39,  1.06s/it]
overall:  13%|█▎        | 537/4000 [10:03<1:06:29,  1.15s/it]

train:  15%|█▌        | 537/3515 [10:02<57:10,  1.15s/it]
overall:  13%|█▎        | 538/4000 [10:05<1:08:25,  1.19s/it]

train:  15%|█▌        | 538/3515 [10:03<58:50,  1.19s/it]
overall:  13%|█▎        | 539/4000 [10:05<1:00:49,  1.05s/it]

train:  15%|█▌        | 539/3515 [10:04<52:18,  1.05s/it]
overall:  14%|█▎        | 540/4000 [10:06<52:01,  1.11it/s]  

train:  15%|█▌        | 540/3515 [10:04<44:43,  1.11it/s]
overall:  14%|█▎        | 541/4000 [10:07<58:19,  1.01s/it]

train:  15%|█▌        | 541/3515 [10:05<50:08,  1.01s/it]
overall:  14%|█▎        | 542/4000 [10:08<1:01:10,  1.06s/it]

train:  15%|█▌        | 542/3515 [10:07<52:35,  1.06s/it]
overall:  14%|█▎        | 543/4000 [10:10<1:03:40,  1.11s/it]

train:  15%|█▌        | 543/3515 [10:08<54:44,  1.11s/it]
overall:  14%|█▎        | 544/4000 [10:11<1:03:57,  1.11s/it]

train:  15%|█▌        | 544/3515 [10:09<54:58,  1.11s/it]
overall:  14%|█▎        | 545/4000 [10:12<1:05:38,  1.14s/it]

train:  16%|█▌        | 545/3515 [10:10<56:25,  1.14s/it]
overall:  14%|█▎        | 546/4000 [10:13<1:07:08,  1.17s/it]

train:  16%|█▌        | 546/3515 [10:11<57:42,  1.17s/it]
overall:  14%|█▎        | 547/4000 [10:14<1:08:06,  1.18s/it]

train:  16%|█▌        | 547/3515 [10:13<58:32,  1.18s/it]
overall:  14%|█▎        | 548/4000 [10:16<1:07:18,  1.17s/it]

train:  16%|█▌        | 548/3515 [10:14<57:50,  1.17s/it]
overall:  14%|█▎        | 549/4000 [10:17<1:08:53,  1.20s/it]

train:  16%|█▌        | 549/3515 [10:15<59:12,  1.20s/it]
overall:  14%|█▍        | 550/4000 [10:18<1:09:21,  1.21s/it]

train:  16%|█▌        | 550/3515 [10:16<59:36,  1.21s/it]
overall:  14%|█▍        | 551/4000 [10:19<1:08:35,  1.19s/it]

train:  16%|█▌        | 551/3515 [10:17<58:56,  1.19s/it]
overall:  14%|█▍        | 552/4000 [10:20<1:00:56,  1.06s/it]

train:  16%|█▌        | 552/3515 [10:18<52:21,  1.06s/it]
overall:  14%|█▍        | 553/4000 [10:21<1:01:54,  1.08s/it]

train:  16%|█▌        | 553/3515 [10:19<53:11,  1.08s/it]
overall:  14%|█▍        | 554/4000 [10:22<1:04:41,  1.13s/it]

train:  16%|█▌        | 554/3515 [10:20<55:34,  1.13s/it]
overall:  14%|█▍        | 555/4000 [10:23<51:55,  1.11it/s]  

train:  16%|█▌        | 555/3515 [10:21<44:37,  1.11it/s]
overall:  14%|█▍        | 556/4000 [10:24<57:39,  1.00s/it]

train:  16%|█▌        | 556/3515 [10:22<49:32,  1.00s/it]
overall:  14%|█▍        | 557/4000 [10:25<1:01:25,  1.07s/it]

train:  16%|█▌        | 557/3515 [10:23<52:46,  1.07s/it]
overall:  14%|█▍        | 558/4000 [10:26<1:03:39,  1.11s/it]

train:  16%|█▌        | 558/3515 [10:25<54:41,  1.11s/it]
overall:  14%|█▍        | 559/4000 [10:28<1:05:40,  1.15s/it]

train:  16%|█▌        | 559/3515 [10:26<56:24,  1.15s/it]
overall:  14%|█▍        | 560/4000 [10:29<1:03:03,  1.10s/it]

train:  16%|█▌        | 560/3515 [10:27<54:10,  1.10s/it]
overall:  14%|█▍        | 561/4000 [10:30<1:05:22,  1.14s/it]

train:  16%|█▌        | 561/3515 [10:28<56:08,  1.14s/it]
overall:  14%|█▍        | 562/4000 [10:31<1:00:42,  1.06s/it]

train:  16%|█▌        | 562/3515 [10:29<52:08,  1.06s/it]
overall:  14%|█▍        | 563/4000 [10:32<1:03:22,  1.11s/it]

train:  16%|█▌        | 563/3515 [10:30<54:25,  1.11s/it]
overall:  14%|█▍        | 564/4000 [10:33<1:06:11,  1.16s/it]

train:  16%|█▌        | 564/3515 [10:31<56:51,  1.16s/it]
overall:  14%|█▍        | 565/4000 [10:34<53:45,  1.06it/s]  

train:  16%|█▌        | 565/3515 [10:32<46:10,  1.06it/s]
overall:  14%|█▍        | 566/4000 [10:35<58:42,  1.03s/it]

train:  16%|█▌        | 566/3515 [10:33<50:25,  1.03s/it]
overall:  14%|█▍        | 567/4000 [10:36<1:01:44,  1.08s/it]

train:  16%|█▌        | 567/3515 [10:34<53:01,  1.08s/it]
overall:  14%|█▍        | 568/4000 [10:36<47:55,  1.19it/s]  

train:  16%|█▌        | 568/3515 [10:34<41:08,  1.19it/s]
overall:  14%|█▍        | 569/4000 [10:38<54:20,  1.05it/s]

train:  16%|█▌        | 569/3515 [10:36<46:39,  1.05it/s]
overall:  14%|█▍        | 570/4000 [10:39<1:00:35,  1.06s/it]

train:  16%|█▌        | 570/3515 [10:37<52:01,  1.06s/it]
overall:  14%|█▍        | 571/4000 [10:40<1:04:12,  1.12s/it]

train:  16%|█▌        | 571/3515 [10:38<55:07,  1.12s/it]
overall:  14%|█▍        | 572/4000 [10:41<1:05:44,  1.15s/it]

train:  16%|█▋        | 572/3515 [10:39<56:26,  1.15s/it]
overall:  14%|█▍        | 573/4000 [10:43<1:07:44,  1.19s/it]

train:  16%|█▋        | 573/3515 [10:41<58:09,  1.19s/it]
overall:  14%|█▍        | 574/4000 [10:44<1:07:54,  1.19s/it]

train:  16%|█▋        | 574/3515 [10:42<58:17,  1.19s/it]
overall:  14%|█▍        | 575/4000 [10:45<1:09:03,  1.21s/it]

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overall:  14%|█▍        | 579/4000 [10:49<58:42,  1.03s/it]  

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overall:  15%|█▌        | 610/4000 [11:24<1:05:46,  1.16s/it]

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overall:  15%|█▌        | 611/4000 [11:25<53:42,  1.05it/s]  

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overall:  15%|█▌        | 617/4000 [11:31<1:05:00,  1.15s/it]

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overall:  16%|█▌        | 635/4000 [11:52<54:51,  1.02it/s]  

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overall:  16%|█▌        | 638/4000 [11:55<48:26,  1.16it/s]  

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overall:  16%|█▌        | 639/4000 [11:56<55:20,  1.01it/s]

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overall:  16%|█▌        | 645/4000 [12:03<55:58,  1.00s/it]  

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overall:  16%|█▋        | 659/4000 [12:18<54:25,  1.02it/s]  

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train:  28%|██▊       | 994/3515 [18:33<40:38,  1.03it/s]
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train:  28%|██▊       | 997/3515 [18:37<50:50,  1.21s/it]
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train:  28%|██▊       | 999/3515 [18:39<50:52,  1.21s/it]train loss: 229.48269653320312
train per: 1.1190499826276865
train loss: 135.29193115234375
train per: 0.9524899828277046
train loss: 53.37233352661133
train per: 0.9251459020553159
train loss: 30.86489486694336
train per: 0.9833258449403425
train loss: 22.356273651123047
train per: 0.9879695167454376
train loss: 20.72544288635254
train per: 0.8943628612032212
train loss: 26.669021606445312
train per: 0.9058048874562636
train loss: 19.603750228881836
train per: 0.8827646154189047
train loss: 16.551252365112305
train per: 0.9066923386158305
train loss: 16.382631301879883
train per: 0.8980036297640653
train loss: 15.308085441589355
train per: 0.9359915809167446
train loss: 15.701942443847656
train per: 0.8870579985976159
train loss: 13.4850492477417
train per: 0.9630375303288421
train loss: 11.123197555541992
train per: 0.9316597257966404
train loss: 9.828052520751953
train per: 0.8917438404284065
train loss: 10.725093841552734
train per: 0.9606998440679758
train loss: 13.61210823059082
train per: 0.996414258595233
train loss: 13.204693794250488
train per: 0.907620371540503
train loss: 13.77134895324707
train per: 0.9145118059987237
train loss: 12.80224609375
train per: 0.9023198432472967
train loss: 12.162712097167969
train per: 0.9310156850112744
train loss: 15.566049575805664
train per: 1.0005394761686401
train loss: 14.429489135742188
train per: 0.9159584753956541
train loss: 14.205366134643555
train per: 0.9195705737416403
train loss: 18.201187133789062
train per: 0.9889262097197439
train loss: 11.693225860595703
train per: 0.9570395675878045
train loss: 12.036077499389648
train per: 0.912710240579093
train loss: 9.790632247924805
train per: 0.8913472550500743
train loss: 8.07628059387207
train per: 0.8543462825844406
train loss: 6.450700283050537
train per: 0.8236975379832523
train loss: 7.34604024887085
train per: 0.8316380749962047
train loss: 8.309239387512207
train per: 0.9203654700684009
train loss: 10.338810920715332
train per: 0.8198140271045603
train loss: 9.202404975891113
train per: 0.8451889661164205
train loss: 7.722522735595703
train per: 0.7720982037063367
train loss: 8.983602523803711
train per: 0.8377303939284424
train loss: 7.295829772949219
train per: 0.7568688039139951
train loss: 7.148007392883301
train per: 0.7741793745153787
train loss: 8.199183464050293
train per: 0.7964436707286745
train loss: 7.79773473739624
train per: 0.7655855458311882
train loss: 8.169377326965332
train per: 0.7603559596643532
train loss: 7.838397026062012
train per: 0.8348972296693477
train loss: 5.878244876861572
train per: 0.7357864222928745
train loss: 6.120691299438477
train per: 0.7786902505790693
train loss: 4.866446018218994
train per: 0.7127379851000633
train loss: 8.599964141845703
train per: 0.9367228312854095
train loss: 6.086360931396484
train per: 0.726565855202188
train loss: 6.453457832336426
train per: 0.7903603182030885
train loss: 6.332280158996582
train per: 0.8160557737832003
train loss: 9.4502534866333
train per: 0.9508056669593489
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▍        | 395/2703 [00:00<00:00, 3947.04it/s]


word -> phonemes:  36%|███▌      | 966/2703 [00:00<00:00, 4979.62it/s]


word -> phonemes:  58%|█████▊    | 1558/2703 [00:00<00:00, 5407.39it/s]


word -> phonemes:  80%|███████▉  | 2154/2703 [00:00<00:00, 5620.01it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5417.88it/s]



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overall:  48%|████▊     | 1918/4000 [38:34<35:20,  1.02s/it]

train:  55%|█████▍    | 1918/3515 [38:32<27:06,  1.02s/it]
overall:  48%|████▊     | 1919/4000 [38:35<37:00,  1.07s/it]

train:  55%|█████▍    | 1919/3515 [38:33<28:22,  1.07s/it]
overall:  48%|████▊     | 1920/4000 [38:37<38:23,  1.11s/it]

train:  55%|█████▍    | 1920/3515 [38:35<29:26,  1.11s/it]
overall:  48%|████▊     | 1921/4000 [38:38<40:31,  1.17s/it]

train:  55%|█████▍    | 1921/3515 [38:36<31:04,  1.17s/it]
overall:  48%|████▊     | 1922/4000 [38:39<39:38,  1.14s/it]

train:  55%|█████▍    | 1922/3515 [38:37<30:23,  1.14s/it]
overall:  48%|████▊     | 1923/4000 [38:40<41:02,  1.19s/it]

train:  55%|█████▍    | 1923/3515 [38:38<31:27,  1.19s/it]
overall:  48%|████▊     | 1924/4000 [38:41<41:12,  1.19s/it]

train:  55%|█████▍    | 1924/3515 [38:40<31:35,  1.19s/it]
overall:  48%|████▊     | 1925/4000 [38:43<42:09,  1.22s/it]

train:  55%|█████▍    | 1925/3515 [38:41<32:18,  1.22s/it]
overall:  48%|████▊     | 1926/4000 [38:44<42:32,  1.23s/it]

train:  55%|█████▍    | 1926/3515 [38:42<32:35,  1.23s/it]
overall:  48%|████▊     | 1927/4000 [38:44<32:50,  1.05it/s]

train:  55%|█████▍    | 1927/3515 [38:42<25:09,  1.05it/s]
overall:  48%|████▊     | 1928/4000 [38:46<35:49,  1.04s/it]

train:  55%|█████▍    | 1928/3515 [38:44<27:26,  1.04s/it]
overall:  48%|████▊     | 1929/4000 [38:47<36:56,  1.07s/it]

train:  55%|█████▍    | 1929/3515 [38:45<28:17,  1.07s/it]
overall:  48%|████▊     | 1930/4000 [38:48<38:19,  1.11s/it]

train:  55%|█████▍    | 1930/3515 [38:46<29:20,  1.11s/it]
overall:  48%|████▊     | 1931/4000 [38:49<40:27,  1.17s/it]

train:  55%|█████▍    | 1931/3515 [38:47<30:58,  1.17s/it]
overall:  48%|████▊     | 1932/4000 [38:50<40:56,  1.19s/it]

train:  55%|█████▍    | 1932/3515 [38:49<31:20,  1.19s/it]
overall:  48%|████▊     | 1933/4000 [38:52<40:10,  1.17s/it]

train:  55%|█████▍    | 1933/3515 [38:50<30:44,  1.17s/it]
overall:  48%|████▊     | 1934/4000 [38:53<40:29,  1.18s/it]

train:  55%|█████▌    | 1934/3515 [38:51<30:59,  1.18s/it]
overall:  48%|████▊     | 1935/4000 [38:54<42:21,  1.23s/it]

train:  55%|█████▌    | 1935/3515 [38:52<32:24,  1.23s/it]
overall:  48%|████▊     | 1936/4000 [38:55<42:22,  1.23s/it]

train:  55%|█████▌    | 1936/3515 [38:53<32:25,  1.23s/it]
overall:  48%|████▊     | 1937/4000 [38:57<41:55,  1.22s/it]

train:  55%|█████▌    | 1937/3515 [38:55<32:03,  1.22s/it]
overall:  48%|████▊     | 1938/4000 [38:58<42:23,  1.23s/it]

train:  55%|█████▌    | 1938/3515 [38:56<32:24,  1.23s/it]
overall:  48%|████▊     | 1939/4000 [38:59<42:05,  1.23s/it]

train:  55%|█████▌    | 1939/3515 [38:57<32:11,  1.23s/it]
overall:  48%|████▊     | 1940/4000 [39:00<40:33,  1.18s/it]

train:  55%|█████▌    | 1940/3515 [38:58<31:00,  1.18s/it]
overall:  49%|████▊     | 1941/4000 [39:01<40:30,  1.18s/it]

train:  55%|█████▌    | 1941/3515 [38:59<30:57,  1.18s/it]
overall:  49%|████▊     | 1942/4000 [39:02<40:57,  1.19s/it]

train:  55%|█████▌    | 1942/3515 [39:01<31:18,  1.19s/it]
overall:  49%|████▊     | 1943/4000 [39:04<41:00,  1.20s/it]

train:  55%|█████▌    | 1943/3515 [39:02<31:20,  1.20s/it]
overall:  49%|████▊     | 1944/4000 [39:05<40:22,  1.18s/it]

train:  55%|█████▌    | 1944/3515 [39:03<30:51,  1.18s/it]
overall:  49%|████▊     | 1945/4000 [39:06<41:44,  1.22s/it]

train:  55%|█████▌    | 1945/3515 [39:04<31:53,  1.22s/it]
overall:  49%|████▊     | 1946/4000 [39:07<41:53,  1.22s/it]

train:  55%|█████▌    | 1946/3515 [39:05<32:00,  1.22s/it]
overall:  49%|████▊     | 1947/4000 [39:09<42:02,  1.23s/it]

train:  55%|█████▌    | 1947/3515 [39:07<32:06,  1.23s/it]
overall:  49%|████▊     | 1948/4000 [39:09<38:26,  1.12s/it]

train:  55%|█████▌    | 1948/3515 [39:08<29:21,  1.12s/it]
overall:  49%|████▊     | 1949/4000 [39:11<38:30,  1.13s/it]

train:  55%|█████▌    | 1949/3515 [39:09<29:23,  1.13s/it]
overall:  49%|████▉     | 1950/4000 [39:12<40:03,  1.17s/it]

train:  55%|█████▌    | 1950/3515 [39:10<30:35,  1.17s/it]
overall:  49%|████▉     | 1951/4000 [39:13<40:30,  1.19s/it]

train:  56%|█████▌    | 1951/3515 [39:11<30:55,  1.19s/it]
overall:  49%|████▉     | 1952/4000 [39:14<38:05,  1.12s/it]

train:  56%|█████▌    | 1952/3515 [39:12<29:04,  1.12s/it]
overall:  49%|████▉     | 1953/4000 [39:15<39:48,  1.17s/it]

train:  56%|█████▌    | 1953/3515 [39:13<30:22,  1.17s/it]
overall:  49%|████▉     | 1954/4000 [39:17<40:20,  1.18s/it]

train:  56%|█████▌    | 1954/3515 [39:15<30:46,  1.18s/it]
overall:  49%|████▉     | 1955/4000 [39:18<40:57,  1.20s/it]

train:  56%|█████▌    | 1955/3515 [39:16<31:14,  1.20s/it]
overall:  49%|████▉     | 1956/4000 [39:19<40:06,  1.18s/it]

train:  56%|█████▌    | 1956/3515 [39:17<30:35,  1.18s/it]
overall:  49%|████▉     | 1957/4000 [39:20<40:04,  1.18s/it]

train:  56%|█████▌    | 1957/3515 [39:18<30:34,  1.18s/it]
overall:  49%|████▉     | 1958/4000 [39:21<40:06,  1.18s/it]

train:  56%|█████▌    | 1958/3515 [39:19<30:34,  1.18s/it]
overall:  49%|████▉     | 1959/4000 [39:23<41:18,  1.21s/it]

train:  56%|█████▌    | 1959/3515 [39:21<31:29,  1.21s/it]
overall:  49%|████▉     | 1960/4000 [39:24<41:43,  1.23s/it]

train:  56%|█████▌    | 1960/3515 [39:22<31:48,  1.23s/it]
overall:  49%|████▉     | 1961/4000 [39:25<42:18,  1.25s/it]

train:  56%|█████▌    | 1961/3515 [39:23<32:15,  1.25s/it]
overall:  49%|████▉     | 1962/4000 [39:26<42:41,  1.26s/it]

train:  56%|█████▌    | 1962/3515 [39:25<32:31,  1.26s/it]
overall:  49%|████▉     | 1963/4000 [39:28<41:29,  1.22s/it]

train:  56%|█████▌    | 1963/3515 [39:26<31:36,  1.22s/it]
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train:  56%|█████▌    | 1964/3515 [39:27<31:36,  1.22s/it]
overall:  49%|████▉     | 1965/4000 [39:30<38:33,  1.14s/it]

train:  56%|█████▌    | 1965/3515 [39:28<29:21,  1.14s/it]
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train:  56%|█████▌    | 1966/3515 [39:29<30:10,  1.17s/it]
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train:  56%|█████▌    | 1967/3515 [39:30<29:46,  1.15s/it]
overall:  49%|████▉     | 1968/4000 [39:33<32:36,  1.04it/s]

train:  56%|█████▌    | 1968/3515 [39:31<24:49,  1.04it/s]
overall:  49%|████▉     | 1969/4000 [39:34<35:31,  1.05s/it]

train:  56%|█████▌    | 1969/3515 [39:32<27:02,  1.05s/it]
overall:  49%|████▉     | 1970/4000 [39:35<37:24,  1.11s/it]

train:  56%|█████▌    | 1970/3515 [39:33<28:28,  1.11s/it]
overall:  49%|████▉     | 1971/4000 [39:36<38:08,  1.13s/it]

train:  56%|█████▌    | 1971/3515 [39:34<29:01,  1.13s/it]
overall:  49%|████▉     | 1972/4000 [39:37<39:02,  1.15s/it]

train:  56%|█████▌    | 1972/3515 [39:36<29:41,  1.15s/it]
overall:  49%|████▉     | 1973/4000 [39:39<40:08,  1.19s/it]

train:  56%|█████▌    | 1973/3515 [39:37<30:32,  1.19s/it]
overall:  49%|████▉     | 1974/4000 [39:40<40:23,  1.20s/it]

train:  56%|█████▌    | 1974/3515 [39:38<30:43,  1.20s/it]
overall:  49%|████▉     | 1975/4000 [39:40<32:37,  1.03it/s]

train:  56%|█████▌    | 1975/3515 [39:39<24:48,  1.03it/s]
overall:  49%|████▉     | 1976/4000 [39:42<35:12,  1.04s/it]

train:  56%|█████▌    | 1976/3515 [39:40<26:46,  1.04s/it]
overall:  49%|████▉     | 1977/4000 [39:43<36:58,  1.10s/it]

train:  56%|█████▌    | 1977/3515 [39:41<28:06,  1.10s/it]
overall:  49%|████▉     | 1978/4000 [39:44<37:36,  1.12s/it]

train:  56%|█████▋    | 1978/3515 [39:42<28:35,  1.12s/it]
overall:  49%|████▉     | 1979/4000 [39:45<40:06,  1.19s/it]

train:  56%|█████▋    | 1979/3515 [39:43<30:29,  1.19s/it]
overall:  50%|████▉     | 1980/4000 [39:47<39:47,  1.18s/it]

train:  56%|█████▋    | 1980/3515 [39:45<30:14,  1.18s/it]
overall:  50%|████▉     | 1981/4000 [39:48<38:35,  1.15s/it]

train:  56%|█████▋    | 1981/3515 [39:46<29:19,  1.15s/it]
overall:  50%|████▉     | 1982/4000 [39:49<39:23,  1.17s/it]

train:  56%|█████▋    | 1982/3515 [39:47<29:55,  1.17s/it]
overall:  50%|████▉     | 1983/4000 [39:50<41:24,  1.23s/it]

train:  56%|█████▋    | 1983/3515 [39:48<31:27,  1.23s/it]
overall:  50%|████▉     | 1984/4000 [39:51<41:48,  1.24s/it]

train:  56%|█████▋    | 1984/3515 [39:50<31:44,  1.24s/it]
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train:  56%|█████▋    | 1985/3515 [39:51<31:31,  1.24s/it]
overall:  50%|████▉     | 1986/4000 [39:54<41:48,  1.25s/it]

train:  57%|█████▋    | 1986/3515 [39:52<31:44,  1.25s/it]
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train:  57%|█████▋    | 1987/3515 [39:53<31:28,  1.24s/it]
overall:  50%|████▉     | 1988/4000 [39:56<40:20,  1.20s/it]

train:  57%|█████▋    | 1988/3515 [39:54<30:37,  1.20s/it]
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train:  57%|█████▋    | 1989/3515 [39:56<30:27,  1.20s/it]
overall:  50%|████▉     | 1990/4000 [39:59<39:54,  1.19s/it]

train:  57%|█████▋    | 1990/3515 [39:57<30:17,  1.19s/it]
overall:  50%|████▉     | 1991/4000 [40:00<39:55,  1.19s/it]

train:  57%|█████▋    | 1991/3515 [39:58<30:17,  1.19s/it]
overall:  50%|████▉     | 1992/4000 [40:01<40:21,  1.21s/it]

train:  57%|█████▋    | 1992/3515 [39:59<30:36,  1.21s/it]
overall:  50%|████▉     | 1993/4000 [40:02<42:01,  1.26s/it]

train:  57%|█████▋    | 1993/3515 [40:01<31:52,  1.26s/it]
overall:  50%|████▉     | 1994/4000 [40:03<39:41,  1.19s/it]

train:  57%|█████▋    | 1994/3515 [40:02<30:05,  1.19s/it]
overall:  50%|████▉     | 1995/4000 [40:05<39:09,  1.17s/it]

train:  57%|█████▋    | 1995/3515 [40:03<29:41,  1.17s/it]
overall:  50%|████▉     | 1996/4000 [40:06<39:10,  1.17s/it]

train:  57%|█████▋    | 1996/3515 [40:04<29:41,  1.17s/it]
overall:  50%|████▉     | 1997/4000 [40:07<40:09,  1.20s/it]

train:  57%|█████▋    | 1997/3515 [40:05<30:26,  1.20s/it]
overall:  50%|████▉     | 1998/4000 [40:08<40:27,  1.21s/it]

train:  57%|█████▋    | 1998/3515 [40:06<30:39,  1.21s/it]
overall:  50%|████▉     | 1999/4000 [40:09<40:01,  1.20s/it]

train:  57%|█████▋    | 1999/3515 [40:08<30:19,  1.20s/it]dev loss: 15.319782257080078
dev per: 0.8524557752341311
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 9.452836036682129
train per: 0.8252898550724638
train loss: 6.423750400543213
train per: 0.7574934546967139
train loss: 7.081191062927246
train per: 0.7868229166666667
train loss: 7.643126010894775
train per: 0.7970476615693716
train loss: 6.738320827484131
train per: 0.7418849177639512
train loss: 6.512330055236816
train per: 0.7377256678435814
train loss: 5.793145179748535
train per: 0.7045789163722026
train loss: 6.590343475341797
train per: 0.793800753675495
train loss: 7.335752010345459
train per: 0.7588282393219029
train loss: 9.045600891113281
train per: 0.8130509072170541
train loss: 9.791715621948242
train per: 0.8056576141414661
train loss: 10.908400535583496
train per: 0.839269056901624
train loss: 7.552050590515137
train per: 0.7351927073493293
train loss: 6.181034088134766
train per: 0.7372087436944511
train loss: 5.63303279876709
train per: 0.7166318163663276
train loss: 8.733232498168945
train per: 0.8233415739596209
train loss: 8.50316047668457
train per: 0.7724328549891116
train loss: 7.803915500640869
train per: 0.744676002127067
train loss: 7.4436235427856445
train per: 0.7273301904184993
train loss: 8.010705947875977
train per: 0.7950708980418636
train loss: 7.337121486663818
train per: 0.7235285666395288
train loss: 6.979127407073975
train per: 0.7594102218756645
train loss: 5.486648082733154
train per: 0.6935622317596567
train loss: 5.07971715927124
train per: 0.6947392649804353
train loss: 6.65023946762085
train per: 0.7767975688195202
train loss: 7.36959981918335
train per: 0.7762036948406241
train loss: 12.80792236328125
train per: 0.8577831454643049
train loss: 8.176895141601562
train per: 0.7563342047054092
train loss: 6.016777038574219
train per: 0.7185058480883917
train loss: 6.516385555267334
train per: 0.7186082080040785
train loss: 6.057469367980957
train per: 0.7506899933851874
train loss: 5.537959098815918
train per: 0.7373620400349774
train loss: 7.377091407775879
train per: 0.8488927854294522
train loss: 6.577229976654053
train per: 0.7412625061689623
train loss: 6.809935092926025
train per: 0.7230921035548284
train loss: 15.494359016418457
train per: 0.8439777216183723
train loss: 15.757573127746582
train per: 0.8990447957839263
train loss: 10.566062927246094
train per: 0.9614882834060916
train loss: 9.670949935913086
train per: 0.7902933281744976
train loss: 8.575037002563477
train per: 0.768079862580597
train loss: 7.0474653244018555
train per: 0.7378218897365627
train loss: 8.391959190368652
train per: 0.7985783782421294
train loss: 7.0218024253845215
train per: 0.7315083575217696
train loss: 7.8146796226501465
train per: 0.7753551050139614
train loss: 9.77916145324707
train per: 0.8177962930625888
train loss: 6.985278129577637
train per: 0.7237281553398058
train loss: 9.25733757019043
train per: 0.7328812282188942
train loss: 5.900263786315918
train per: 0.7020213974626017
train loss: 6.377357482910156
train per: 0.6988927491314454
train loss: 5.306674957275391
train per: 0.68292959278479
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 535/2703 [00:00<00:00, 5339.46it/s]


word -> phonemes:  40%|███▉      | 1069/2703 [00:00<00:00, 4003.84it/s]


word -> phonemes:  59%|█████▉    | 1599/2703 [00:00<00:00, 4502.86it/s]


word -> phonemes:  81%|████████  | 2186/2703 [00:00<00:00, 4986.43it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4896.80it/s]



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


dev:   0%|          | 1/2703 [00:01<57:41,  1.28s/it]


dev:   0%|          | 2/2703 [00:01<29:30,  1.53it/s]


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dev:   0%|          | 4/2703 [00:01<16:20,  2.75it/s]


dev:   0%|          | 5/2703 [00:02<13:55,  3.23it/s]


dev:   0%|          | 6/2703 [00:02<12:29,  3.60it/s]


dev:   0%|          | 7/2703 [00:02<11:30,  3.90it/s]


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dev:   0%|          | 9/2703 [00:02<10:17,  4.37it/s]


dev:   0%|          | 10/2703 [00:03<09:46,  4.59it/s]


dev:   0%|          | 11/2703 [00:03<08:58,  5.00it/s]


dev:   0%|          | 12/2703 [00:03<09:10,  4.89it/s]


dev:   0%|          | 13/2703 [00:03<08:38,  5.19it/s]


dev:   1%|          | 14/2703 [00:03<08:11,  5.47it/s]


dev:   1%|          | 15/2703 [00:04<08:25,  5.32it/s]


dev:   1%|          | 16/2703 [00:04<07:48,  5.74it/s]


dev:   1%|          | 17/2703 [00:04<07:38,  5.86it/s]


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dev: 100%|██████████| 2703/2703 [02:44<00:00, 16.42it/s]

                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [42:57<40:01,  1.20s/it]

train:  57%|█████▋    | 1999/3515 [42:55<30:19,  1.20s/it]
                                                            

                                                          

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overall:  50%|█████     | 2009/4000 [43:07<1:43:43,  3.13s/it]

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overall:  50%|█████     | 2010/4000 [43:09<1:25:35,  2.58s/it]

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overall:  50%|█████     | 2011/4000 [43:10<1:12:23,  2.18s/it]

train:  57%|█████▋    | 2011/3515 [43:08<54:44,  2.18s/it]  
overall:  50%|█████     | 2012/4000 [43:11<1:03:07,  1.91s/it]

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overall:  50%|█████     | 2013/4000 [43:12<48:25,  1.46s/it]  

train:  57%|█████▋    | 2013/3515 [43:10<36:35,  1.46s/it]
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overall:  50%|█████     | 2015/4000 [43:14<44:27,  1.34s/it]

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overall:  50%|█████     | 2016/4000 [43:15<39:42,  1.20s/it]

train:  57%|█████▋    | 2016/3515 [43:13<30:00,  1.20s/it]
overall:  50%|█████     | 2017/4000 [43:16<41:12,  1.25s/it]

train:  57%|█████▋    | 2017/3515 [43:15<31:07,  1.25s/it]
overall:  50%|█████     | 2018/4000 [43:18<40:54,  1.24s/it]

train:  57%|█████▋    | 2018/3515 [43:16<30:53,  1.24s/it]
overall:  50%|█████     | 2019/4000 [43:19<40:34,  1.23s/it]

train:  57%|█████▋    | 2019/3515 [43:17<30:38,  1.23s/it]
overall:  50%|█████     | 2020/4000 [43:20<40:28,  1.23s/it]

train:  57%|█████▋    | 2020/3515 [43:18<30:33,  1.23s/it]
overall:  51%|█████     | 2021/4000 [43:21<39:42,  1.20s/it]

train:  57%|█████▋    | 2021/3515 [43:19<29:58,  1.20s/it]
overall:  51%|█████     | 2022/4000 [43:22<39:01,  1.18s/it]

train:  58%|█████▊    | 2022/3515 [43:20<29:27,  1.18s/it]
overall:  51%|█████     | 2023/4000 [43:23<38:38,  1.17s/it]

train:  58%|█████▊    | 2023/3515 [43:22<29:09,  1.17s/it]
overall:  51%|█████     | 2024/4000 [43:25<39:08,  1.19s/it]

train:  58%|█████▊    | 2024/3515 [43:23<29:31,  1.19s/it]
overall:  51%|█████     | 2025/4000 [43:26<39:20,  1.20s/it]

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overall:  51%|█████     | 2026/4000 [43:27<39:56,  1.21s/it]

train:  58%|█████▊    | 2026/3515 [43:25<30:07,  1.21s/it]
overall:  51%|█████     | 2027/4000 [43:28<36:40,  1.12s/it]

train:  58%|█████▊    | 2027/3515 [43:26<27:39,  1.12s/it]
overall:  51%|█████     | 2028/4000 [43:29<34:20,  1.04s/it]

train:  58%|█████▊    | 2028/3515 [43:27<25:53,  1.04s/it]
overall:  51%|█████     | 2029/4000 [43:30<34:52,  1.06s/it]

train:  58%|█████▊    | 2029/3515 [43:28<26:17,  1.06s/it]
overall:  51%|█████     | 2030/4000 [43:31<36:13,  1.10s/it]

train:  58%|█████▊    | 2030/3515 [43:29<27:18,  1.10s/it]
overall:  51%|█████     | 2031/4000 [43:32<33:27,  1.02s/it]

train:  58%|█████▊    | 2031/3515 [43:30<25:13,  1.02s/it]
overall:  51%|█████     | 2032/4000 [43:33<35:28,  1.08s/it]

train:  58%|█████▊    | 2032/3515 [43:31<26:44,  1.08s/it]
overall:  51%|█████     | 2033/4000 [43:34<34:33,  1.05s/it]

train:  58%|█████▊    | 2033/3515 [43:32<26:02,  1.05s/it]
overall:  51%|█████     | 2034/4000 [43:36<36:36,  1.12s/it]

train:  58%|█████▊    | 2034/3515 [43:34<27:34,  1.12s/it]
overall:  51%|█████     | 2035/4000 [43:37<36:55,  1.13s/it]

train:  58%|█████▊    | 2035/3515 [43:35<27:48,  1.13s/it]
overall:  51%|█████     | 2036/4000 [43:38<37:32,  1.15s/it]

train:  58%|█████▊    | 2036/3515 [43:36<28:16,  1.15s/it]
overall:  51%|█████     | 2037/4000 [43:39<37:01,  1.13s/it]

train:  58%|█████▊    | 2037/3515 [43:37<27:52,  1.13s/it]
overall:  51%|█████     | 2038/4000 [43:40<37:51,  1.16s/it]

train:  58%|█████▊    | 2038/3515 [43:38<28:30,  1.16s/it]
overall:  51%|█████     | 2039/4000 [43:41<38:52,  1.19s/it]

train:  58%|█████▊    | 2039/3515 [43:40<29:15,  1.19s/it]
overall:  51%|█████     | 2040/4000 [43:43<39:05,  1.20s/it]

train:  58%|█████▊    | 2040/3515 [43:41<29:24,  1.20s/it]
overall:  51%|█████     | 2041/4000 [43:44<39:53,  1.22s/it]

train:  58%|█████▊    | 2041/3515 [43:42<30:00,  1.22s/it]
overall:  51%|█████     | 2042/4000 [43:45<39:14,  1.20s/it]

train:  58%|█████▊    | 2042/3515 [43:43<29:31,  1.20s/it]
overall:  51%|█████     | 2043/4000 [43:46<39:18,  1.20s/it]

train:  58%|█████▊    | 2043/3515 [43:44<29:33,  1.20s/it]
overall:  51%|█████     | 2044/4000 [43:48<39:55,  1.22s/it]

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overall:  51%|█████     | 2045/4000 [43:49<38:39,  1.19s/it]

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overall:  51%|█████     | 2046/4000 [43:50<38:55,  1.20s/it]

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overall:  51%|█████     | 2047/4000 [43:51<38:55,  1.20s/it]

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overall:  51%|█████     | 2048/4000 [43:52<36:44,  1.13s/it]

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overall:  51%|█████     | 2049/4000 [43:53<37:51,  1.16s/it]

train:  58%|█████▊    | 2049/3515 [43:51<28:27,  1.16s/it]
overall:  51%|█████▏    | 2050/4000 [43:55<38:25,  1.18s/it]

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overall:  51%|█████▏    | 2051/4000 [43:56<40:15,  1.24s/it]

train:  58%|█████▊    | 2051/3515 [43:54<30:14,  1.24s/it]
overall:  51%|█████▏    | 2052/4000 [43:57<38:27,  1.18s/it]

train:  58%|█████▊    | 2052/3515 [43:55<28:53,  1.18s/it]
overall:  51%|█████▏    | 2053/4000 [43:58<37:31,  1.16s/it]

train:  58%|█████▊    | 2053/3515 [43:56<28:10,  1.16s/it]
overall:  51%|█████▏    | 2054/4000 [43:59<31:38,  1.03it/s]

train:  58%|█████▊    | 2054/3515 [43:57<23:45,  1.03it/s]
overall:  51%|█████▏    | 2055/4000 [44:00<33:30,  1.03s/it]

train:  58%|█████▊    | 2055/3515 [43:58<25:09,  1.03s/it]
overall:  51%|█████▏    | 2056/4000 [44:01<34:47,  1.07s/it]

train:  58%|█████▊    | 2056/3515 [43:59<26:06,  1.07s/it]
overall:  51%|█████▏    | 2057/4000 [44:02<36:10,  1.12s/it]

train:  59%|█████▊    | 2057/3515 [44:00<27:08,  1.12s/it]
overall:  51%|█████▏    | 2058/4000 [44:03<37:38,  1.16s/it]

train:  59%|█████▊    | 2058/3515 [44:02<28:14,  1.16s/it]
overall:  51%|█████▏    | 2059/4000 [44:05<38:37,  1.19s/it]

train:  59%|█████▊    | 2059/3515 [44:03<28:58,  1.19s/it]
overall:  52%|█████▏    | 2060/4000 [44:06<38:47,  1.20s/it]

train:  59%|█████▊    | 2060/3515 [44:04<29:05,  1.20s/it]
overall:  52%|█████▏    | 2061/4000 [44:07<35:41,  1.10s/it]

train:  59%|█████▊    | 2061/3515 [44:05<26:45,  1.10s/it]
overall:  52%|█████▏    | 2062/4000 [44:08<37:17,  1.15s/it]

train:  59%|█████▊    | 2062/3515 [44:06<27:57,  1.15s/it]
overall:  52%|█████▏    | 2063/4000 [44:09<35:43,  1.11s/it]

train:  59%|█████▊    | 2063/3515 [44:07<26:46,  1.11s/it]
overall:  52%|█████▏    | 2064/4000 [44:09<29:07,  1.11it/s]

train:  59%|█████▊    | 2064/3515 [44:08<21:49,  1.11it/s]
overall:  52%|█████▏    | 2065/4000 [44:11<33:38,  1.04s/it]

train:  59%|█████▊    | 2065/3515 [44:09<25:12,  1.04s/it]
overall:  52%|█████▏    | 2066/4000 [44:12<32:34,  1.01s/it]

train:  59%|█████▉    | 2066/3515 [44:10<24:24,  1.01s/it]
overall:  52%|█████▏    | 2067/4000 [44:13<34:35,  1.07s/it]

train:  59%|█████▉    | 2067/3515 [44:11<25:54,  1.07s/it]
overall:  52%|█████▏    | 2068/4000 [44:14<35:04,  1.09s/it]

train:  59%|█████▉    | 2068/3515 [44:12<26:16,  1.09s/it]
overall:  52%|█████▏    | 2069/4000 [44:16<38:45,  1.20s/it]

train:  59%|█████▉    | 2069/3515 [44:14<29:01,  1.20s/it]
overall:  52%|█████▏    | 2070/4000 [44:17<38:49,  1.21s/it]

train:  59%|█████▉    | 2070/3515 [44:15<29:03,  1.21s/it]
overall:  52%|█████▏    | 2071/4000 [44:18<38:44,  1.21s/it]

train:  59%|█████▉    | 2071/3515 [44:16<29:00,  1.21s/it]
overall:  52%|█████▏    | 2072/4000 [44:19<35:55,  1.12s/it]

train:  59%|█████▉    | 2072/3515 [44:17<26:52,  1.12s/it]
overall:  52%|█████▏    | 2073/4000 [44:20<37:11,  1.16s/it]

train:  59%|█████▉    | 2073/3515 [44:18<27:49,  1.16s/it]
overall:  52%|█████▏    | 2074/4000 [44:21<37:48,  1.18s/it]

train:  59%|█████▉    | 2074/3515 [44:20<28:17,  1.18s/it]
overall:  52%|█████▏    | 2075/4000 [44:22<36:46,  1.15s/it]

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overall:  52%|█████▏    | 2076/4000 [44:24<37:48,  1.18s/it]

train:  59%|█████▉    | 2076/3515 [44:22<28:16,  1.18s/it]
overall:  52%|█████▏    | 2077/4000 [44:25<37:27,  1.17s/it]

train:  59%|█████▉    | 2077/3515 [44:23<28:00,  1.17s/it]
overall:  52%|█████▏    | 2078/4000 [44:26<37:28,  1.17s/it]

train:  59%|█████▉    | 2078/3515 [44:24<28:01,  1.17s/it]
overall:  52%|█████▏    | 2079/4000 [44:27<37:42,  1.18s/it]

train:  59%|█████▉    | 2079/3515 [44:25<28:11,  1.18s/it]
overall:  52%|█████▏    | 2080/4000 [44:28<37:59,  1.19s/it]

train:  59%|█████▉    | 2080/3515 [44:27<28:23,  1.19s/it]
overall:  52%|█████▏    | 2081/4000 [44:30<37:46,  1.18s/it]

train:  59%|█████▉    | 2081/3515 [44:28<28:13,  1.18s/it]
overall:  52%|█████▏    | 2082/4000 [44:31<39:05,  1.22s/it]

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overall:  52%|█████▏    | 2083/4000 [44:32<38:54,  1.22s/it]

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overall:  52%|█████▏    | 2084/4000 [44:33<38:33,  1.21s/it]

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overall:  52%|█████▏    | 2085/4000 [44:35<39:10,  1.23s/it]

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overall:  52%|█████▏    | 2086/4000 [44:36<37:33,  1.18s/it]

train:  59%|█████▉    | 2086/3515 [44:34<28:02,  1.18s/it]
overall:  52%|█████▏    | 2087/4000 [44:37<37:44,  1.18s/it]

train:  59%|█████▉    | 2087/3515 [44:35<28:10,  1.18s/it]
overall:  52%|█████▏    | 2088/4000 [44:38<37:24,  1.17s/it]

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overall:  52%|█████▏    | 2091/4000 [44:42<37:31,  1.18s/it]

train:  59%|█████▉    | 2091/3515 [44:40<27:59,  1.18s/it]
overall:  52%|█████▏    | 2092/4000 [44:43<37:20,  1.17s/it]

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overall:  52%|█████▏    | 2093/4000 [44:43<32:12,  1.01s/it]

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overall:  52%|█████▏    | 2099/4000 [44:50<35:18,  1.11s/it]

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train:  60%|█████▉    | 2100/3515 [44:49<26:29,  1.12s/it]
overall:  53%|█████▎    | 2101/4000 [44:52<34:19,  1.08s/it]

train:  60%|█████▉    | 2101/3515 [44:50<25:33,  1.08s/it]
overall:  53%|█████▎    | 2102/4000 [44:53<34:47,  1.10s/it]

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overall:  74%|███████▍  | 2978/4000 [1:01:08<18:31,  1.09s/it]

train:  85%|████████▍ | 2978/3515 [1:01:06<09:43,  1.09s/it]
overall:  74%|███████▍  | 2979/4000 [1:01:08<15:43,  1.08it/s]

train:  85%|████████▍ | 2979/3515 [1:01:07<08:15,  1.08it/s]
overall:  74%|███████▍  | 2980/4000 [1:01:09<14:27,  1.18it/s]

train:  85%|████████▍ | 2980/3515 [1:01:07<07:35,  1.18it/s]
overall:  75%|███████▍  | 2981/4000 [1:01:10<16:14,  1.05it/s]

train:  85%|████████▍ | 2981/3515 [1:01:08<08:30,  1.05it/s]
overall:  75%|███████▍  | 2982/4000 [1:01:11<16:52,  1.01it/s]

train:  85%|████████▍ | 2982/3515 [1:01:10<08:49,  1.01it/s]
overall:  75%|███████▍  | 2983/4000 [1:01:12<14:31,  1.17it/s]

train:  85%|████████▍ | 2983/3515 [1:01:10<07:35,  1.17it/s]
overall:  75%|███████▍  | 2984/4000 [1:01:13<16:26,  1.03it/s]

train:  85%|████████▍ | 2984/3515 [1:01:11<08:35,  1.03it/s]
overall:  75%|███████▍  | 2985/4000 [1:01:14<17:09,  1.01s/it]

train:  85%|████████▍ | 2985/3515 [1:01:12<08:57,  1.01s/it]
overall:  75%|███████▍  | 2986/4000 [1:01:16<18:26,  1.09s/it]

train:  85%|████████▍ | 2986/3515 [1:01:14<09:37,  1.09s/it]
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overall:  75%|███████▍  | 2993/4000 [1:01:24<19:39,  1.17s/it]

train:  85%|████████▌ | 2993/3515 [1:01:22<10:11,  1.17s/it]
overall:  75%|███████▍  | 2994/4000 [1:01:25<17:02,  1.02s/it]

train:  85%|████████▌ | 2994/3515 [1:01:23<08:49,  1.02s/it]
overall:  75%|███████▍  | 2995/4000 [1:01:26<17:56,  1.07s/it]

train:  85%|████████▌ | 2995/3515 [1:01:24<09:16,  1.07s/it]
overall:  75%|███████▍  | 2996/4000 [1:01:27<18:56,  1.13s/it]

train:  85%|████████▌ | 2996/3515 [1:01:25<09:47,  1.13s/it]
overall:  75%|███████▍  | 2997/4000 [1:01:28<19:12,  1.15s/it]

train:  85%|████████▌ | 2997/3515 [1:01:26<09:55,  1.15s/it]
overall:  75%|███████▍  | 2998/4000 [1:01:30<19:37,  1.17s/it]

train:  85%|████████▌ | 2998/3515 [1:01:28<10:07,  1.17s/it]
overall:  75%|███████▍  | 2999/4000 [1:01:30<18:28,  1.11s/it]

train:  85%|████████▌ | 2999/3515 [1:01:29<09:31,  1.11s/it]dev loss: 6.0851593017578125
dev per: 0.7475650364203954
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 5.571559906005859
train per: 0.7268713774818103
train loss: 4.774414539337158
train per: 0.6800058741464131
train loss: 4.377718448638916
train per: 0.6740320829815463
train loss: 5.713021278381348
train per: 0.7344987639372382
train loss: 5.64130973815918
train per: 0.7284540369288649
train loss: 6.690883636474609
train per: 0.7356776194789865
train loss: 7.754548072814941
train per: 0.8105294204394632
train loss: 7.068603515625
train per: 0.7316690869695502
train loss: 7.659811496734619
train per: 0.7444378346222487
train loss: 5.789478302001953
train per: 0.6928436543595754
train loss: 6.309069633483887
train per: 0.7141742338251986
train loss: 9.135093688964844
train per: 0.7562046869829427
train loss: 10.259475708007812
train per: 0.7460829147612265
train loss: 16.635961532592773
train per: 0.8315912295201516
train loss: 10.17036247253418
train per: 0.7272306981044845
train loss: 6.909265995025635
train per: 0.7173742715831742
train loss: 6.956809043884277
train per: 0.7220393916728995
train loss: 10.636373519897461
train per: 0.8308704654394872
train loss: 8.04565715789795
train per: 0.7430690689315721
train loss: 8.498689651489258
train per: 0.7692749686585876
train loss: 7.731753349304199
train per: 0.7321681273119988
train loss: 7.148148536682129
train per: 0.7121138866505506
train loss: 8.315092086791992
train per: 0.7685319508192823
train loss: 7.432277679443359
train per: 0.7349394544581237
train loss: 6.67239236831665
train per: 0.6943977266136984
train loss: 8.680242538452148
train per: 0.716035218117876
train loss: 8.990643501281738
train per: 0.7235102267843148
train loss: 6.665791988372803
train per: 0.6999579634529315
train loss: 5.78792667388916
train per: 0.6744386873920553
train loss: 7.941980838775635
train per: 0.7896444105865874
train loss: 8.05778694152832
train per: 0.7394792899408285
train loss: 7.044436454772949
train per: 0.719338024498306
train loss: 5.703318119049072
train per: 0.707895126647904
train loss: 5.878609657287598
train per: 0.7342176977995991
train loss: 4.822400093078613
train per: 0.6798877455565949
train loss: 5.371708869934082
train per: 0.7627686371188167
train loss: 7.244032859802246
train per: 0.7487435910452307
train loss: 8.522690773010254
train per: 0.7350998564156115
train loss: 5.625871658325195
train per: 0.6784301638670571
train loss: 7.460938453674316
train per: 0.8166739309409656
train loss: 8.371477127075195
train per: 0.7992873541228238
train loss: 10.526021957397461
train per: 0.8212586758168915
train loss: 10.553128242492676
train per: 0.7363187934195914
train loss: 10.0892333984375
train per: 0.7607833596886023
train loss: 8.83661937713623
train per: 0.7497288288049948
train loss: 6.588067531585693
train per: 0.7117492436641373
train loss: 5.529719352722168
train per: 0.6969965783804334
train loss: 6.099536418914795
train per: 0.7558431616468505
train loss: 7.8236260414123535
train per: 0.7468107819589005
train loss: 8.880948066711426
train per: 0.7328588991866843
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 567/2703 [00:00<00:00, 5667.24it/s]


word -> phonemes:  43%|████▎     | 1172/2703 [00:00<00:00, 5886.70it/s]


word -> phonemes:  66%|██████▌   | 1777/2703 [00:00<00:00, 5958.01it/s]


word -> phonemes:  88%|████████▊ | 2373/2703 [00:00<00:00, 5882.95it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5875.08it/s]



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train:  86%|████████▋ | 3034/3515 [1:04:54<09:17,  1.16s/it]
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overall:  76%|███████▌  | 3036/4000 [1:04:59<20:09,  1.25s/it]

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overall:  77%|███████▋  | 3079/4000 [1:05:48<16:12,  1.06s/it]

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overall:  77%|███████▋  | 3091/4000 [1:06:01<15:22,  1.01s/it]

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overall:  77%|███████▋  | 3094/4000 [1:06:04<15:31,  1.03s/it]

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overall:  77%|███████▋  | 3096/4000 [1:06:06<16:19,  1.08s/it]

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overall:  77%|███████▋  | 3097/4000 [1:06:07<15:33,  1.03s/it]

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overall:  77%|███████▋  | 3098/4000 [1:06:08<16:35,  1.10s/it]

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overall:  77%|███████▋  | 3099/4000 [1:06:09<12:44,  1.18it/s]

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overall:  78%|███████▊  | 3100/4000 [1:06:10<14:24,  1.04it/s]

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overall:  78%|███████▊  | 3101/4000 [1:06:10<11:56,  1.26it/s]

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overall:  78%|███████▊  | 3102/4000 [1:06:11<13:44,  1.09it/s]

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overall:  78%|███████▊  | 3103/4000 [1:06:13<15:19,  1.03s/it]

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overall:  78%|███████▊  | 3104/4000 [1:06:14<16:23,  1.10s/it]

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overall:  78%|███████▊  | 3105/4000 [1:06:15<17:05,  1.15s/it]

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overall:  78%|███████▊  | 3106/4000 [1:06:16<16:49,  1.13s/it]

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overall:  78%|███████▊  | 3107/4000 [1:06:17<15:06,  1.02s/it]

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overall:  78%|███████▊  | 3108/4000 [1:06:18<16:24,  1.10s/it]

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overall:  78%|███████▊  | 3109/4000 [1:06:19<16:36,  1.12s/it]

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overall:  78%|███████▊  | 3110/4000 [1:06:21<16:34,  1.12s/it]

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overall:  78%|███████▊  | 3111/4000 [1:06:22<17:29,  1.18s/it]

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overall:  78%|███████▊  | 3112/4000 [1:06:23<17:30,  1.18s/it]

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overall:  78%|███████▊  | 3113/4000 [1:06:24<17:28,  1.18s/it]

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overall:  78%|███████▊  | 3114/4000 [1:06:26<17:33,  1.19s/it]

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overall:  78%|███████▊  | 3115/4000 [1:06:27<17:02,  1.16s/it]

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overall:  78%|███████▊  | 3116/4000 [1:06:27<14:17,  1.03it/s]

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overall:  78%|███████▊  | 3117/4000 [1:06:28<14:26,  1.02it/s]

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overall:  78%|███████▊  | 3119/4000 [1:06:30<15:20,  1.05s/it]

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overall:  78%|███████▊  | 3122/4000 [1:06:33<13:49,  1.06it/s]

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overall:  78%|███████▊  | 3123/4000 [1:06:34<13:45,  1.06it/s]

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overall:  78%|███████▊  | 3124/4000 [1:06:36<14:59,  1.03s/it]

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overall:  78%|███████▊  | 3125/4000 [1:06:37<15:44,  1.08s/it]

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overall:  78%|███████▊  | 3126/4000 [1:06:38<16:21,  1.12s/it]

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overall:  78%|███████▊  | 3127/4000 [1:06:39<16:31,  1.14s/it]

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overall:  78%|███████▊  | 3137/4000 [1:06:51<17:28,  1.21s/it]

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overall:  79%|███████▊  | 3141/4000 [1:06:54<12:29,  1.15it/s]

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overall:  79%|███████▊  | 3143/4000 [1:06:56<12:20,  1.16it/s]

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overall:  79%|███████▊  | 3147/4000 [1:07:01<16:24,  1.15s/it]

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overall:  88%|████████▊ | 3515/4000 [1:13:56<09:16,  1.15s/it]

train: 100%|██████████| 3515/3515 [1:13:54<00:00,  1.15s/it]403-128339-0009 Failed!!!
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 [1:13:54<00:00,  1.26s/it]
dev loss: 8.27135181427002
dev per: 0.7176690946930281
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 8.739251136779785
train per: 0.740895634603637
train loss: 5.690426349639893
train per: 0.6943858168003377
train loss: 5.2813897132873535
train per: 0.7318869661701173
train loss: 5.21682596206665
train per: 0.7019113662913529
train loss: 6.769114017486572
train per: 0.7501640653978943
train loss: 7.364935874938965
train per: 0.7219226013522402
train loss: 10.749460220336914
train per: 0.8095032746678166
train loss: 10.103761672973633
train per: 0.7265534542647626
train loss: 8.252306938171387
train per: 0.6911447084233261
train loss: 7.174902439117432
train per: 0.711968129784732
train loss: 7.792984962463379
train per: 0.7474824494517919
train loss: 6.883251190185547
train per: 0.6972184114669568
train loss: 9.762619972229004
train per: 0.7666609094722298
train loss: 9.505268096923828
train per: 0.7218796666506093
train loss: 6.6549482345581055
train per: 0.6697183942480527
train loss: 6.0642900466918945
train per: 0.6906063430485931
train loss: 6.7156243324279785
train per: 0.7841659456259392
train loss: 7.205235958099365
train per: 0.8116694556550842
train loss: 8.001189231872559
train per: 0.7418575697211155
train loss: 9.606624603271484
train per: 0.7810354857475277
train loss: 9.982446670532227
train per: 0.7208443972384493
train loss: 7.720290184020996
train per: 0.7325429599040895
train loss: 7.3436479568481445
train per: 0.7010854715715741
train loss: 5.8706254959106445
train per: 0.6777929872591345
train loss: 5.752643585205078
train per: 0.6897468500751358
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   2%|▏         | 67/3515 [00:00<00:11, 297.35it/s]

word -> phonemes:   4%|▍         | 139/3515 [00:00<00:10, 311.78it/s]

word -> phonemes:  15%|█▍        | 521/3515 [00:00<00:02, 1266.97it/s]

word -> phonemes:  28%|██▊       | 982/3515 [00:00<00:01, 2202.25it/s]

word -> phonemes:  42%|████▏     | 1463/3515 [00:00<00:00, 2947.00it/s]

word -> phonemes:  55%|█████▍    | 1917/3515 [00:00<00:00, 3407.98it/s]

word -> phonemes:  68%|██████▊   | 2384/3515 [00:00<00:00, 3776.15it/s]

word -> phonemes:  81%|████████  | 2853/3515 [00:01<00:00, 4043.23it/s]

word -> phonemes:  94%|█████████▍| 3297/3515 [00:01<00:00, 4159.09it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2926.76it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3520/4000 [1:14:06<12:02,  1.51s/it]

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overall:  88%|████████▊ | 3524/4000 [1:14:10<08:54,  1.12s/it]

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overall:  88%|████████▊ | 3526/4000 [1:14:12<09:15,  1.17s/it]

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overall:  88%|████████▊ | 3527/4000 [1:14:14<09:06,  1.15s/it]

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overall:  88%|████████▊ | 3528/4000 [1:14:15<09:21,  1.19s/it]

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overall:  88%|████████▊ | 3529/4000 [1:14:16<09:21,  1.19s/it]

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overall:  88%|████████▊ | 3530/4000 [1:14:17<09:15,  1.18s/it]

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overall:  88%|████████▊ | 3531/4000 [1:14:18<09:18,  1.19s/it]

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overall:  88%|████████▊ | 3532/4000 [1:14:20<09:22,  1.20s/it]

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overall:  88%|████████▊ | 3533/4000 [1:14:21<09:25,  1.21s/it]

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overall:  88%|████████▊ | 3534/4000 [1:14:22<09:25,  1.21s/it]

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overall:  88%|████████▊ | 3535/4000 [1:14:23<09:33,  1.23s/it]

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overall:  88%|████████▊ | 3536/4000 [1:14:25<09:36,  1.24s/it]

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overall:  88%|████████▊ | 3537/4000 [1:14:26<09:38,  1.25s/it]

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overall:  88%|████████▊ | 3538/4000 [1:14:27<09:33,  1.24s/it]

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overall:  88%|████████▊ | 3539/4000 [1:14:28<09:35,  1.25s/it]

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overall:  88%|████████▊ | 3540/4000 [1:14:30<09:40,  1.26s/it]

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overall:  89%|████████▊ | 3541/4000 [1:14:31<09:34,  1.25s/it]

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overall:  89%|████████▊ | 3542/4000 [1:14:32<09:08,  1.20s/it]

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overall:  89%|████████▊ | 3543/4000 [1:14:33<09:08,  1.20s/it]

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overall:  89%|████████▊ | 3544/4000 [1:14:34<08:53,  1.17s/it]

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overall:  89%|████████▊ | 3545/4000 [1:14:36<09:11,  1.21s/it]

train:   1%|          | 30/3515 [00:37<1:10:26,  1.21s/it]
overall:  89%|████████▊ | 3546/4000 [1:14:37<08:57,  1.18s/it]

train:   1%|          | 31/3515 [00:38<1:08:43,  1.18s/it]
overall:  89%|████████▊ | 3547/4000 [1:14:37<07:12,  1.05it/s]

train:   1%|          | 32/3515 [00:38<55:23,  1.05it/s]  
overall:  89%|████████▊ | 3548/4000 [1:14:38<07:54,  1.05s/it]

train:   1%|          | 33/3515 [00:40<1:00:53,  1.05s/it]
overall:  89%|████████▊ | 3549/4000 [1:14:40<08:22,  1.11s/it]

train:   1%|          | 34/3515 [00:41<1:04:35,  1.11s/it]
overall:  89%|████████▉ | 3550/4000 [1:14:41<08:34,  1.14s/it]

train:   1%|          | 35/3515 [00:42<1:06:16,  1.14s/it]
overall:  89%|████████▉ | 3551/4000 [1:14:42<08:32,  1.14s/it]

train:   1%|          | 36/3515 [00:43<1:06:12,  1.14s/it]
overall:  89%|████████▉ | 3552/4000 [1:14:43<08:44,  1.17s/it]

train:   1%|          | 37/3515 [00:44<1:07:50,  1.17s/it]
overall:  89%|████████▉ | 3553/4000 [1:14:44<08:49,  1.18s/it]

train:   1%|          | 38/3515 [00:46<1:08:36,  1.18s/it]
overall:  89%|████████▉ | 3554/4000 [1:14:46<09:00,  1.21s/it]

train:   1%|          | 39/3515 [00:47<1:10:12,  1.21s/it]
overall:  89%|████████▉ | 3555/4000 [1:14:47<09:00,  1.21s/it]

train:   1%|          | 40/3515 [00:48<1:10:20,  1.21s/it]
overall:  89%|████████▉ | 3556/4000 [1:14:48<09:00,  1.22s/it]

train:   1%|          | 41/3515 [00:49<1:10:31,  1.22s/it]
overall:  89%|████████▉ | 3557/4000 [1:14:49<09:01,  1.22s/it]

train:   1%|          | 42/3515 [00:51<1:10:42,  1.22s/it]
overall:  89%|████████▉ | 3558/4000 [1:14:50<08:30,  1.15s/it]

train:   1%|          | 43/3515 [00:52<1:06:48,  1.15s/it]
overall:  89%|████████▉ | 3559/4000 [1:14:52<08:28,  1.15s/it]

train:   1%|▏         | 44/3515 [00:53<1:06:45,  1.15s/it]
overall:  89%|████████▉ | 3560/4000 [1:14:53<08:45,  1.19s/it]

train:   1%|▏         | 45/3515 [00:54<1:09:04,  1.19s/it]
overall:  89%|████████▉ | 3561/4000 [1:14:54<08:46,  1.20s/it]

train:   1%|▏         | 46/3515 [00:55<1:09:19,  1.20s/it]
overall:  89%|████████▉ | 3562/4000 [1:14:55<07:28,  1.02s/it]

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overall:  89%|████████▉ | 3563/4000 [1:14:56<07:05,  1.03it/s]

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

train:   1%|▏         | 49/3515 [00:58<1:02:02,  1.07s/it]
overall:  89%|████████▉ | 3565/4000 [1:14:58<08:12,  1.13s/it]

train:   1%|▏         | 50/3515 [00:59<1:05:19,  1.13s/it]
overall:  89%|████████▉ | 3566/4000 [1:14:59<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 [01:02<1:07:24,  1.17s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:02<08:17,  1.15s/it]

train:   2%|▏         | 53/3515 [01:03<1:06:29,  1.15s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:03<08:31,  1.19s/it]

train:   2%|▏         | 54/3515 [01:04<1:08:25,  1.19s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:04<08:19,  1.16s/it]

train:   2%|▏         | 55/3515 [01:05<1:07:01,  1.16s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:05<08:32,  1.20s/it]

train:   2%|▏         | 56/3515 [01:06<1:08:53,  1.20s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:07<08:41,  1.22s/it]

train:   2%|▏         | 57/3515 [01:08<1:10:17,  1.22s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:08<08:47,  1.24s/it]

train:   2%|▏         | 58/3515 [01:09<1:11:13,  1.24s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:09<08:54,  1.26s/it]

train:   2%|▏         | 59/3515 [01:10<1:12:19,  1.26s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:10<08:56,  1.26s/it]

train:   2%|▏         | 60/3515 [01:12<1:12:37,  1.26s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:12<08:56,  1.26s/it]

train:   2%|▏         | 61/3515 [01:13<1:12:47,  1.26s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:13<08:54,  1.26s/it]

train:   2%|▏         | 62/3515 [01:14<1:12:45,  1.26s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:14<08:43,  1.24s/it]

train:   2%|▏         | 63/3515 [01:15<1:11:24,  1.24s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:15<08:38,  1.23s/it]

train:   2%|▏         | 64/3515 [01:17<1:10:51,  1.23s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:17<08:31,  1.22s/it]

train:   2%|▏         | 65/3515 [01:18<1:09:58,  1.22s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:18<08:22,  1.20s/it]

train:   2%|▏         | 66/3515 [01:19<1:08:56,  1.20s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:19<08:22,  1.20s/it]

train:   2%|▏         | 67/3515 [01:20<1:09:03,  1.20s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:20<08:30,  1.22s/it]

train:   2%|▏         | 68/3515 [01:21<1:10:21,  1.22s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:21<08:20,  1.20s/it]

train:   2%|▏         | 69/3515 [01:23<1:09:03,  1.20s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:22<07:37,  1.10s/it]

train:   2%|▏         | 70/3515 [01:23<1:03:14,  1.10s/it]
overall:  90%|████████▉ | 3586/4000 [1:15:23<07:36,  1.10s/it]

train:   2%|▏         | 71/3515 [01:25<1:03:18,  1.10s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:25<07:57,  1.16s/it]

train:   2%|▏         | 72/3515 [01:26<1:06:21,  1.16s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:26<08:13,  1.20s/it]

train:   2%|▏         | 73/3515 [01:27<1:08:46,  1.20s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:27<08:21,  1.22s/it]

train:   2%|▏         | 74/3515 [01:28<1:10:00,  1.22s/it]
overall:  90%|████████▉ | 3590/4000 [1:15:28<08:28,  1.24s/it]

train:   2%|▏         | 75/3515 [01:30<1:11:03,  1.24s/it]
overall:  90%|████████▉ | 3591/4000 [1:15:30<08:30,  1.25s/it]

train:   2%|▏         | 76/3515 [01:31<1:11:30,  1.25s/it]
overall:  90%|████████▉ | 3592/4000 [1:15:31<08:20,  1.23s/it]

train:   2%|▏         | 77/3515 [01:32<1:10:15,  1.23s/it]
overall:  90%|████████▉ | 3593/4000 [1:15:32<08:32,  1.26s/it]

train:   2%|▏         | 78/3515 [01:33<1:12:08,  1.26s/it]
overall:  90%|████████▉ | 3594/4000 [1:15:33<08:13,  1.22s/it]

train:   2%|▏         | 79/3515 [01:35<1:09:35,  1.22s/it]
overall:  90%|████████▉ | 3595/4000 [1:15:34<07:59,  1.18s/it]

train:   2%|▏         | 80/3515 [01:36<1:07:47,  1.18s/it]
overall:  90%|████████▉ | 3596/4000 [1:15:36<07:54,  1.17s/it]

train:   2%|▏         | 81/3515 [01:37<1:07:10,  1.17s/it]
overall:  90%|████████▉ | 3597/4000 [1:15:37<08:05,  1.20s/it]

train:   2%|▏         | 82/3515 [01:38<1:08:53,  1.20s/it]
overall:  90%|████████▉ | 3598/4000 [1:15:38<08:15,  1.23s/it]

train:   2%|▏         | 83/3515 [01:39<1:10:34,  1.23s/it]
overall:  90%|████████▉ | 3599/4000 [1:15:39<08:20,  1.25s/it]

train:   2%|▏         | 84/3515 [01:41<1:11:20,  1.25s/it]
overall:  90%|█████████ | 3600/4000 [1:15:41<08:33,  1.28s/it]

train:   2%|▏         | 85/3515 [01:42<1:13:19,  1.28s/it]
overall:  90%|█████████ | 3601/4000 [1:15:42<08:31,  1.28s/it]

train:   2%|▏         | 86/3515 [01:43<1:13:12,  1.28s/it]
overall:  90%|█████████ | 3602/4000 [1:15:43<08:13,  1.24s/it]

train:   2%|▏         | 87/3515 [01:44<1:10:52,  1.24s/it]
overall:  90%|█████████ | 3603/4000 [1:15:44<08:10,  1.24s/it]

train:   3%|▎         | 88/3515 [01:46<1:10:36,  1.24s/it]
overall:  90%|█████████ | 3604/4000 [1:15:46<07:54,  1.20s/it]

train:   3%|▎         | 89/3515 [01:47<1:08:22,  1.20s/it]
overall:  90%|█████████ | 3605/4000 [1:15:47<07:54,  1.20s/it]

train:   3%|▎         | 90/3515 [01:48<1:08:37,  1.20s/it]
overall:  90%|█████████ | 3606/4000 [1:15:48<07:47,  1.19s/it]

train:   3%|▎         | 91/3515 [01:49<1:07:47,  1.19s/it]
overall:  90%|█████████ | 3607/4000 [1:15:49<07:48,  1.19s/it]

train:   3%|▎         | 92/3515 [01:50<1:08:03,  1.19s/it]
overall:  90%|█████████ | 3608/4000 [1:15:50<07:57,  1.22s/it]

train:   3%|▎         | 93/3515 [01:52<1:09:31,  1.22s/it]
overall:  90%|█████████ | 3609/4000 [1:15:51<06:18,  1.03it/s]

train:   3%|▎         | 94/3515 [01:52<55:08,  1.03it/s]  
overall:  90%|█████████ | 3610/4000 [1:15:52<06:16,  1.04it/s]

train:   3%|▎         | 95/3515 [01:53<54:58,  1.04it/s]
overall:  90%|█████████ | 3611/4000 [1:15:53<06:35,  1.02s/it]

train:   3%|▎         | 96/3515 [01:54<57:58,  1.02s/it]
overall:  90%|█████████ | 3612/4000 [1:15:54<06:49,  1.06s/it]

train:   3%|▎         | 97/3515 [01:55<1:00:07,  1.06s/it]
overall:  90%|█████████ | 3613/4000 [1:15:55<06:58,  1.08s/it]

train:   3%|▎         | 98/3515 [01:56<1:01:34,  1.08s/it]
overall:  90%|█████████ | 3614/4000 [1:15:56<07:05,  1.10s/it]

train:   3%|▎         | 99/3515 [01:58<1:02:44,  1.10s/it]
overall:  90%|█████████ | 3615/4000 [1:15:57<07:13,  1.13s/it]

train:   3%|▎         | 100/3515 [01:59<1:04:03,  1.13s/it]
overall:  90%|█████████ | 3616/4000 [1:15:59<07:23,  1.15s/it]

train:   3%|▎         | 101/3515 [02:00<1:05:42,  1.15s/it]
overall:  90%|█████████ | 3617/4000 [1:16:00<07:33,  1.18s/it]

train:   3%|▎         | 102/3515 [02:01<1:07:24,  1.18s/it]
overall:  90%|█████████ | 3618/4000 [1:16:01<07:43,  1.21s/it]

train:   3%|▎         | 103/3515 [02:02<1:08:56,  1.21s/it]
overall:  90%|█████████ | 3619/4000 [1:16:02<06:33,  1.03s/it]

train:   3%|▎         | 104/3515 [02:03<58:39,  1.03s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:02<05:38,  1.12it/s]

train:   3%|▎         | 105/3515 [02:04<50:40,  1.12it/s]
overall:  91%|█████████ | 3621/4000 [1:16:03<04:25,  1.43it/s]

train:   3%|▎         | 106/3515 [02:04<39:51,  1.43it/s]
overall:  91%|█████████ | 3622/4000 [1:16:04<05:22,  1.17it/s]

train:   3%|▎         | 107/3515 [02:05<48:27,  1.17it/s]
overall:  91%|█████████ | 3623/4000 [1:16:05<06:10,  1.02it/s]

train:   3%|▎         | 108/3515 [02:06<55:51,  1.02it/s]
overall:  91%|█████████ | 3624/4000 [1:16:06<06:30,  1.04s/it]

train:   3%|▎         | 109/3515 [02:08<58:53,  1.04s/it]
overall:  91%|█████████ | 3625/4000 [1:16:07<05:24,  1.16it/s]

train:   3%|▎         | 110/3515 [02:08<49:03,  1.16it/s]
overall:  91%|█████████ | 3626/4000 [1:16:08<06:09,  1.01it/s]

train:   3%|▎         | 111/3515 [02:09<56:00,  1.01it/s]
overall:  91%|█████████ | 3627/4000 [1:16:09<06:27,  1.04s/it]

train:   3%|▎         | 112/3515 [02:10<58:52,  1.04s/it]
overall:  91%|█████████ | 3628/4000 [1:16:11<06:55,  1.12s/it]

train:   3%|▎         | 113/3515 [02:12<1:03:23,  1.12s/it]
overall:  91%|█████████ | 3629/4000 [1:16:12<07:10,  1.16s/it]

train:   3%|▎         | 114/3515 [02:13<1:05:44,  1.16s/it]
overall:  91%|█████████ | 3630/4000 [1:16:12<05:33,  1.11it/s]

train:   3%|▎         | 115/3515 [02:13<51:03,  1.11it/s]  
overall:  91%|█████████ | 3631/4000 [1:16:13<06:07,  1.00it/s]

train:   3%|▎         | 116/3515 [02:15<56:28,  1.00it/s]
overall:  91%|█████████ | 3632/4000 [1:16:15<06:29,  1.06s/it]

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

train:   3%|▎         | 118/3515 [02:17<57:36,  1.02s/it]
overall:  91%|█████████ | 3634/4000 [1:16:17<06:32,  1.07s/it]

train:   3%|▎         | 119/3515 [02:18<1:00:45,  1.07s/it]
overall:  91%|█████████ | 3635/4000 [1:16:18<06:19,  1.04s/it]

train:   3%|▎         | 120/3515 [02:19<58:52,  1.04s/it]  
overall:  91%|█████████ | 3636/4000 [1:16:19<06:43,  1.11s/it]

train:   3%|▎         | 121/3515 [02:20<1:02:39,  1.11s/it]
overall:  91%|█████████ | 3637/4000 [1:16:20<06:33,  1.08s/it]

train:   3%|▎         | 122/3515 [02:21<1:01:14,  1.08s/it]
overall:  91%|█████████ | 3638/4000 [1:16:21<06:42,  1.11s/it]

train:   3%|▎         | 123/3515 [02:22<1:02:52,  1.11s/it]
overall:  91%|█████████ | 3639/4000 [1:16:22<06:59,  1.16s/it]

train:   4%|▎         | 124/3515 [02:24<1:05:41,  1.16s/it]
overall:  91%|█████████ | 3640/4000 [1:16:23<06:51,  1.14s/it]

train:   4%|▎         | 125/3515 [02:25<1:04:35,  1.14s/it]
overall:  91%|█████████ | 3641/4000 [1:16:24<05:35,  1.07it/s]

train:   4%|▎         | 126/3515 [02:25<52:48,  1.07it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:25<06:07,  1.03s/it]

train:   4%|▎         | 127/3515 [02:26<57:53,  1.03s/it]
overall:  91%|█████████ | 3643/4000 [1:16:26<06:07,  1.03s/it]

train:   4%|▎         | 128/3515 [02:27<58:02,  1.03s/it]
overall:  91%|█████████ | 3644/4000 [1:16:27<06:27,  1.09s/it]

train:   4%|▎         | 129/3515 [02:29<1:01:25,  1.09s/it]
overall:  91%|█████████ | 3645/4000 [1:16:28<06:16,  1.06s/it]

train:   4%|▎         | 130/3515 [02:30<59:51,  1.06s/it]  
overall:  91%|█████████ | 3646/4000 [1:16:30<06:39,  1.13s/it]

train:   4%|▎         | 131/3515 [02:31<1:03:41,  1.13s/it]
overall:  91%|█████████ | 3647/4000 [1:16:31<06:36,  1.12s/it]

train:   4%|▍         | 132/3515 [02:32<1:03:17,  1.12s/it]
overall:  91%|█████████ | 3648/4000 [1:16:32<06:59,  1.19s/it]

train:   4%|▍         | 133/3515 [02:33<1:07:14,  1.19s/it]
overall:  91%|█████████ | 3649/4000 [1:16:33<06:55,  1.18s/it]

train:   4%|▍         | 134/3515 [02:35<1:06:38,  1.18s/it]
overall:  91%|█████████▏| 3650/4000 [1:16:35<06:56,  1.19s/it]

train:   4%|▍         | 135/3515 [02:36<1:07:03,  1.19s/it]
overall:  91%|█████████▏| 3651/4000 [1:16:36<07:01,  1.21s/it]

train:   4%|▍         | 136/3515 [02:37<1:08:04,  1.21s/it]
overall:  91%|█████████▏| 3652/4000 [1:16:37<06:48,  1.17s/it]

train:   4%|▍         | 137/3515 [02:38<1:06:01,  1.17s/it]
overall:  91%|█████████▏| 3653/4000 [1:16:38<06:56,  1.20s/it]

train:   4%|▍         | 138/3515 [02:39<1:07:29,  1.20s/it]
overall:  91%|█████████▏| 3654/4000 [1:16:39<06:58,  1.21s/it]

train:   4%|▍         | 139/3515 [02:41<1:08:05,  1.21s/it]
overall:  91%|█████████▏| 3655/4000 [1:16:41<06:58,  1.21s/it]

train:   4%|▍         | 140/3515 [02:42<1:08:13,  1.21s/it]
overall:  91%|█████████▏| 3656/4000 [1:16:42<06:49,  1.19s/it]

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overall: 100%|█████████▉| 3983/4000 [1:22:54<00:18,  1.12s/it]

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overall: 100%|█████████▉| 3984/4000 [1:22:55<00:15,  1.04it/s]

train:  13%|█▎        | 469/3515 [08:56<48:55,  1.04it/s]
overall: 100%|█████████▉| 3985/4000 [1:22:56<00:15,  1.06s/it]

train:  13%|█▎        | 470/3515 [08:57<53:37,  1.06s/it]
overall: 100%|█████████▉| 3986/4000 [1:22:57<00:15,  1.12s/it]

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overall: 100%|█████████▉| 3987/4000 [1:22:59<00:15,  1.20s/it]

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overall: 100%|█████████▉| 3991/4000 [1:23:03<00:09,  1.10s/it]

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overall: 100%|█████████▉| 3996/4000 [1:23:09<00:04,  1.18s/it]

train:  14%|█▎        | 481/3515 [09:10<59:49,  1.18s/it]
overall: 100%|█████████▉| 3997/4000 [1:23:10<00:03,  1.21s/it]

train:  14%|█▎        | 482/3515 [09:11<1:01:10,  1.21s/it]
overall: 100%|█████████▉| 3998/4000 [1:23:10<00:02,  1.04s/it]

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overall: 100%|█████████▉| 3999/4000 [1:23:12<00:01,  1.13s/it]

train:  14%|█▍        | 484/3515 [09:13<57:03,  1.13s/it]train loss: 7.856943607330322
train per: 0.7958129026055187
train loss: 6.7656354904174805
train per: 0.6878857470934405
train loss: 6.5870866775512695
train per: 0.7192977906856135
train loss: 6.5221099853515625
train per: 0.7122572960095295
train loss: 7.2209272384643555
train per: 0.7731999300943726
train loss: 6.542191505432129
train per: 0.7028207655222012
train loss: 10.800151824951172
train per: 0.7952187640956248
train loss: 10.108149528503418
train per: 0.7185378840572758
train loss: 10.008516311645508
train per: 0.7927745289148798
train loss: 7.43442440032959
train per: 0.7010486177311726
train loss: 7.583425998687744
train per: 0.7169994006178247
train loss: 8.7898588180542
train per: 0.7713932107496464
train loss: 7.154536247253418
train per: 0.699533018628496
train loss: 5.983244895935059
train per: 0.7061554374233276
train loss: 6.884562015533447
train per: 0.7605137307104471
train loss: 6.643674373626709
train per: 0.7140846414428169
train loss: 6.024141788482666
train per: 0.7020798065296252
train loss: 5.622350215911865
train per: 0.7184381880357896
train loss: 7.05218505859375
train per: 0.7430705077539451
train loss: 8.162809371948242
train per: 0.7368287160701111
train loss: 6.534505367279053
train per: 0.6821604583093588
train loss: 6.768441200256348
train per: 0.7079675377705186
train loss: 6.33046817779541
train per: 0.7145566003428749
train loss: 6.782390594482422
train per: 0.7282989780441107
train loss: 7.455347537994385
train per: 0.7593906510851419
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 585/2703 [00:00<00:00, 5846.98it/s]


word -> phonemes:  44%|████▍     | 1194/2703 [00:00<00:00, 5986.69it/s]


word -> phonemes:  67%|██████▋   | 1800/2703 [00:00<00:00, 6016.38it/s]


word -> phonemes:  89%|████████▉ | 2402/2703 [00:00<00:00, 6000.78it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5942.39it/s]



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overall: 100%|█████████▉| 3999/4000 [1:26:00<00:01,  1.13s/it]

train:  14%|█▍        | 484/3515 [12:02<57:03,  1.13s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:00<00:01,  1.13s/it]

train:  14%|█▍        | 484/3515 [12:02<57:03,  1.13s/it]
overall: 100%|██████████| 4000/4000 [1:26:00<00:00, 51.38s/it]

train:  14%|█▍        | 485/3515 [12:02<43:14:28, 51.38s/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 [12:02<1:15:13,  1.49s/it] 

overall: 100%|██████████| 4000/4000 [1:26:01<00:00,  1.29s/it]
dev loss: 7.345488548278809
dev per: 0.7373048907388138
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt