/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%|█         | 352/3515 [00:00<00:00, 3512.71it/s]

word -> phonemes:  20%|██        | 704/3515 [00:00<00:00, 3330.11it/s]

word -> phonemes:  30%|██▉       | 1038/3515 [00:00<00:00, 3233.22it/s]

word -> phonemes:  40%|████      | 1407/3515 [00:00<00:00, 3406.68it/s]

word -> phonemes:  50%|████▉     | 1749/3515 [00:00<00:00, 3375.27it/s]

word -> phonemes:  59%|█████▉    | 2088/3515 [00:00<00:00, 3235.63it/s]

word -> phonemes:  71%|███████   | 2483/3515 [00:00<00:00, 3456.66it/s]

word -> phonemes:  81%|████████  | 2831/3515 [00:00<00:00, 3386.21it/s]

word -> phonemes:  90%|█████████ | 3176/3515 [00:00<00:00, 3368.78it/s]

word -> phonemes: 100%|█████████▉| 3514/3515 [00:01<00:00, 3161.31it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3293.28it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:59:49,  4.50s/it]

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overall:   1%|          | 32/4000 [00:39<1:20:08,  1.21s/it]

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overall:   1%|          | 34/4000 [00:40<1:01:22,  1.08it/s]

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overall:   1%|          | 35/4000 [00:41<1:07:39,  1.02s/it]

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overall:   1%|          | 36/4000 [00:43<1:11:54,  1.09s/it]

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overall:   1%|          | 37/4000 [00:44<1:12:27,  1.10s/it]

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overall:   1%|          | 38/4000 [00:45<1:13:42,  1.12s/it]

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overall:  11%|█▏        | 458/4000 [08:39<1:08:21,  1.16s/it]

train:  13%|█▎        | 458/3515 [08:37<58:59,  1.16s/it]
overall:  11%|█▏        | 459/4000 [08:41<1:07:57,  1.15s/it]

train:  13%|█▎        | 459/3515 [08:38<58:38,  1.15s/it]
overall:  12%|█▏        | 460/4000 [08:42<1:08:34,  1.16s/it]

train:  13%|█▎        | 460/3515 [08:40<59:11,  1.16s/it]
overall:  12%|█▏        | 461/4000 [08:43<1:09:34,  1.18s/it]

train:  13%|█▎        | 461/3515 [08:41<1:00:02,  1.18s/it]
overall:  12%|█▏        | 462/4000 [08:44<1:09:11,  1.17s/it]

train:  13%|█▎        | 462/3515 [08:42<59:42,  1.17s/it]  
overall:  12%|█▏        | 463/4000 [08:45<1:10:14,  1.19s/it]

train:  13%|█▎        | 463/3515 [08:43<1:00:36,  1.19s/it]
overall:  12%|█▏        | 464/4000 [08:46<1:08:22,  1.16s/it]

train:  13%|█▎        | 464/3515 [08:44<59:00,  1.16s/it]  
overall:  12%|█▏        | 465/4000 [08:47<1:06:43,  1.13s/it]

train:  13%|█▎        | 465/3515 [08:45<57:33,  1.13s/it]
overall:  12%|█▏        | 466/4000 [08:49<1:07:52,  1.15s/it]

train:  13%|█▎        | 466/3515 [08:47<58:33,  1.15s/it]
overall:  12%|█▏        | 467/4000 [08:50<1:10:08,  1.19s/it]

train:  13%|█▎        | 467/3515 [08:48<1:00:30,  1.19s/it]
overall:  12%|█▏        | 468/4000 [08:50<58:47,  1.00it/s]  

train:  13%|█▎        | 468/3515 [08:48<50:43,  1.00it/s]  
overall:  12%|█▏        | 469/4000 [08:52<1:02:26,  1.06s/it]

train:  13%|█▎        | 469/3515 [08:50<53:52,  1.06s/it]
overall:  12%|█▏        | 470/4000 [08:53<1:03:56,  1.09s/it]

train:  13%|█▎        | 470/3515 [08:51<55:09,  1.09s/it]
overall:  12%|█▏        | 471/4000 [08:54<1:06:20,  1.13s/it]

train:  13%|█▎        | 471/3515 [08:52<57:13,  1.13s/it]
overall:  12%|█▏        | 472/4000 [08:55<1:09:53,  1.19s/it]

train:  13%|█▎        | 472/3515 [08:53<1:00:16,  1.19s/it]
overall:  12%|█▏        | 473/4000 [08:57<1:11:57,  1.22s/it]

train:  13%|█▎        | 473/3515 [08:55<1:02:03,  1.22s/it]
overall:  12%|█▏        | 474/4000 [08:57<57:46,  1.02it/s]  

train:  13%|█▎        | 474/3515 [08:55<49:49,  1.02it/s]  
overall:  12%|█▏        | 475/4000 [08:58<54:23,  1.08it/s]

train:  14%|█▎        | 475/3515 [08:56<46:54,  1.08it/s]
overall:  12%|█▏        | 476/4000 [08:59<1:00:20,  1.03s/it]

train:  14%|█▎        | 476/3515 [08:57<52:02,  1.03s/it]
overall:  12%|█▏        | 477/4000 [09:00<1:05:03,  1.11s/it]

train:  14%|█▎        | 477/3515 [08:58<56:06,  1.11s/it]
overall:  12%|█▏        | 478/4000 [09:02<1:10:30,  1.20s/it]

train:  14%|█▎        | 478/3515 [09:00<1:00:47,  1.20s/it]
overall:  12%|█▏        | 479/4000 [09:03<1:10:05,  1.19s/it]

train:  14%|█▎        | 479/3515 [09:01<1:00:26,  1.19s/it]
overall:  12%|█▏        | 480/4000 [09:04<1:06:15,  1.13s/it]

train:  14%|█▎        | 480/3515 [09:02<57:07,  1.13s/it]  
overall:  12%|█▏        | 481/4000 [09:05<1:05:42,  1.12s/it]

train:  14%|█▎        | 481/3515 [09:03<56:39,  1.12s/it]
overall:  12%|█▏        | 482/4000 [09:06<1:07:50,  1.16s/it]

train:  14%|█▎        | 482/3515 [09:04<58:29,  1.16s/it]
overall:  12%|█▏        | 483/4000 [09:07<1:06:47,  1.14s/it]

train:  14%|█▎        | 483/3515 [09:05<57:34,  1.14s/it]
overall:  12%|█▏        | 484/4000 [09:09<1:07:17,  1.15s/it]

train:  14%|█▍        | 484/3515 [09:07<58:00,  1.15s/it]
overall:  12%|█▏        | 485/4000 [09:10<1:04:09,  1.10s/it]

train:  14%|█▍        | 485/3515 [09:08<55:17,  1.10s/it]
overall:  12%|█▏        | 486/4000 [09:11<1:07:35,  1.15s/it]

train:  14%|█▍        | 486/3515 [09:09<58:15,  1.15s/it]
overall:  12%|█▏        | 487/4000 [09:12<1:10:29,  1.20s/it]

train:  14%|█▍        | 487/3515 [09:10<1:00:45,  1.20s/it]
overall:  12%|█▏        | 488/4000 [09:13<56:12,  1.04it/s]  

train:  14%|█▍        | 488/3515 [09:11<48:27,  1.04it/s]  
overall:  12%|█▏        | 489/4000 [09:14<55:15,  1.06it/s]

train:  14%|█▍        | 489/3515 [09:11<47:37,  1.06it/s]
overall:  12%|█▏        | 490/4000 [09:15<1:00:27,  1.03s/it]

train:  14%|█▍        | 490/3515 [09:13<52:07,  1.03s/it]
overall:  12%|█▏        | 491/4000 [09:16<1:02:28,  1.07s/it]

train:  14%|█▍        | 491/3515 [09:14<53:49,  1.07s/it]
overall:  12%|█▏        | 492/4000 [09:16<53:23,  1.10it/s]  

train:  14%|█▍        | 492/3515 [09:14<45:59,  1.10it/s]
overall:  12%|█▏        | 493/4000 [09:18<58:07,  1.01it/s]

train:  14%|█▍        | 493/3515 [09:16<50:04,  1.01it/s]
overall:  12%|█▏        | 494/4000 [09:19<1:01:12,  1.05s/it]

train:  14%|█▍        | 494/3515 [09:17<52:44,  1.05s/it]
overall:  12%|█▏        | 495/4000 [09:20<1:03:43,  1.09s/it]

train:  14%|█▍        | 495/3515 [09:18<54:54,  1.09s/it]
overall:  12%|█▏        | 496/4000 [09:21<1:06:20,  1.14s/it]

train:  14%|█▍        | 496/3515 [09:19<57:09,  1.14s/it]
overall:  12%|█▏        | 497/4000 [09:23<1:08:00,  1.16s/it]

train:  14%|█▍        | 497/3515 [09:20<58:35,  1.16s/it]
overall:  12%|█▏        | 498/4000 [09:24<1:08:11,  1.17s/it]

train:  14%|█▍        | 498/3515 [09:22<58:44,  1.17s/it]
overall:  12%|█▏        | 499/4000 [09:25<1:05:26,  1.12s/it]

train:  14%|█▍        | 499/3515 [09:23<56:22,  1.12s/it]
overall:  12%|█▎        | 500/4000 [09:25<56:08,  1.04it/s]  

train:  14%|█▍        | 500/3515 [09:23<48:21,  1.04it/s]
overall:  13%|█▎        | 501/4000 [09:27<1:01:22,  1.05s/it]

train:  14%|█▍        | 501/3515 [09:24<52:51,  1.05s/it]
overall:  13%|█▎        | 502/4000 [09:28<1:08:25,  1.17s/it]

train:  14%|█▍        | 502/3515 [09:26<58:56,  1.17s/it]
overall:  13%|█▎        | 503/4000 [09:29<1:09:53,  1.20s/it]

train:  14%|█▍        | 503/3515 [09:27<1:00:12,  1.20s/it]
overall:  13%|█▎        | 504/4000 [09:30<1:10:19,  1.21s/it]

train:  14%|█▍        | 504/3515 [09:28<1:00:34,  1.21s/it]
overall:  13%|█▎        | 505/4000 [09:32<1:11:49,  1.23s/it]

train:  14%|█▍        | 505/3515 [09:30<1:01:51,  1.23s/it]
overall:  13%|█▎        | 506/4000 [09:33<1:08:29,  1.18s/it]

train:  14%|█▍        | 506/3515 [09:31<58:59,  1.18s/it]  
overall:  13%|█▎        | 507/4000 [09:34<1:09:19,  1.19s/it]

train:  14%|█▍        | 507/3515 [09:32<59:41,  1.19s/it]
overall:  13%|█▎        | 508/4000 [09:35<1:09:44,  1.20s/it]

train:  14%|█▍        | 508/3515 [09:33<1:00:02,  1.20s/it]
overall:  13%|█▎        | 509/4000 [09:37<1:10:51,  1.22s/it]

train:  14%|█▍        | 509/3515 [09:34<1:01:00,  1.22s/it]
overall:  13%|█▎        | 510/4000 [09:38<1:11:38,  1.23s/it]

train:  15%|█▍        | 510/3515 [09:36<1:01:41,  1.23s/it]
overall:  13%|█▎        | 511/4000 [09:39<1:10:28,  1.21s/it]

train:  15%|█▍        | 511/3515 [09:37<1:00:40,  1.21s/it]
overall:  13%|█▎        | 512/4000 [09:40<1:09:37,  1.20s/it]

train:  15%|█▍        | 512/3515 [09:38<59:56,  1.20s/it]  
overall:  13%|█▎        | 513/4000 [09:41<1:09:28,  1.20s/it]

train:  15%|█▍        | 513/3515 [09:39<59:48,  1.20s/it]
overall:  13%|█▎        | 514/4000 [09:42<1:08:01,  1.17s/it]

train:  15%|█▍        | 514/3515 [09:40<58:33,  1.17s/it]
overall:  13%|█▎        | 515/4000 [09:44<1:06:32,  1.15s/it]

train:  15%|█▍        | 515/3515 [09:41<57:16,  1.15s/it]
overall:  13%|█▎        | 516/4000 [09:45<1:08:50,  1.19s/it]

train:  15%|█▍        | 516/3515 [09:43<59:15,  1.19s/it]
overall:  13%|█▎        | 517/4000 [09:46<1:08:42,  1.18s/it]

train:  15%|█▍        | 517/3515 [09:44<59:08,  1.18s/it]
overall:  13%|█▎        | 518/4000 [09:47<58:03,  1.00s/it]  

train:  15%|█▍        | 518/3515 [09:44<49:58,  1.00s/it]
overall:  13%|█▎        | 519/4000 [09:48<1:03:24,  1.09s/it]

train:  15%|█▍        | 519/3515 [09:46<54:34,  1.09s/it]
overall:  13%|█▎        | 520/4000 [09:49<1:07:03,  1.16s/it]

train:  15%|█▍        | 520/3515 [09:47<57:42,  1.16s/it]
overall:  13%|█▎        | 521/4000 [09:50<1:09:24,  1.20s/it]

train:  15%|█▍        | 521/3515 [09:48<59:43,  1.20s/it]
overall:  13%|█▎        | 522/4000 [09:52<1:10:35,  1.22s/it]

train:  15%|█▍        | 522/3515 [09:50<1:00:44,  1.22s/it]
overall:  13%|█▎        | 523/4000 [09:53<1:11:19,  1.23s/it]

train:  15%|█▍        | 523/3515 [09:51<1:01:22,  1.23s/it]
overall:  13%|█▎        | 524/4000 [09:54<1:11:27,  1.23s/it]

train:  15%|█▍        | 524/3515 [09:52<1:01:29,  1.23s/it]
overall:  13%|█▎        | 525/4000 [09:56<1:13:18,  1.27s/it]

train:  15%|█▍        | 525/3515 [09:53<1:03:04,  1.27s/it]
overall:  13%|█▎        | 526/4000 [09:57<1:13:32,  1.27s/it]

train:  15%|█▍        | 526/3515 [09:55<1:03:16,  1.27s/it]
overall:  13%|█▎        | 527/4000 [09:58<1:12:33,  1.25s/it]

train:  15%|█▍        | 527/3515 [09:56<1:02:25,  1.25s/it]
overall:  13%|█▎        | 528/4000 [09:59<58:56,  1.02s/it]  

train:  15%|█▌        | 528/3515 [09:56<50:42,  1.02s/it]  
overall:  13%|█▎        | 529/4000 [10:00<1:02:20,  1.08s/it]

train:  15%|█▌        | 529/3515 [09:58<53:38,  1.08s/it]
overall:  13%|█▎        | 530/4000 [10:01<1:05:14,  1.13s/it]

train:  15%|█▌        | 530/3515 [09:59<56:07,  1.13s/it]
overall:  13%|█▎        | 531/4000 [10:02<55:52,  1.03it/s]  

train:  15%|█▌        | 531/3515 [09:59<48:03,  1.03it/s]
overall:  13%|█▎        | 532/4000 [10:03<1:00:08,  1.04s/it]

train:  15%|█▌        | 532/3515 [10:01<51:43,  1.04s/it]
overall:  13%|█▎        | 533/4000 [10:04<1:02:48,  1.09s/it]

train:  15%|█▌        | 533/3515 [10:02<54:01,  1.09s/it]
overall:  13%|█▎        | 534/4000 [10:05<55:46,  1.04it/s]  

train:  15%|█▌        | 534/3515 [10:03<47:58,  1.04it/s]
overall:  13%|█▎        | 535/4000 [10:06<1:00:18,  1.04s/it]

train:  15%|█▌        | 535/3515 [10:04<51:51,  1.04s/it]
overall:  13%|█▎        | 536/4000 [10:07<1:02:45,  1.09s/it]

train:  15%|█▌        | 536/3515 [10:05<53:57,  1.09s/it]
overall:  13%|█▎        | 537/4000 [10:08<1:06:18,  1.15s/it]

train:  15%|█▌        | 537/3515 [10:06<57:01,  1.15s/it]
overall:  13%|█▎        | 538/4000 [10:10<1:08:44,  1.19s/it]

train:  15%|█▌        | 538/3515 [10:08<59:06,  1.19s/it]
overall:  13%|█▎        | 539/4000 [10:10<1:01:23,  1.06s/it]

train:  15%|█▌        | 539/3515 [10:08<52:47,  1.06s/it]
overall:  14%|█▎        | 540/4000 [10:11<52:58,  1.09it/s]  

train:  15%|█▌        | 540/3515 [10:09<45:33,  1.09it/s]
overall:  14%|█▎        | 541/4000 [10:12<59:28,  1.03s/it]

train:  15%|█▌        | 541/3515 [10:10<51:08,  1.03s/it]
overall:  14%|█▎        | 542/4000 [10:14<1:02:29,  1.08s/it]

train:  15%|█▌        | 542/3515 [10:11<53:43,  1.08s/it]
overall:  14%|█▎        | 543/4000 [10:15<1:05:00,  1.13s/it]

train:  15%|█▌        | 543/3515 [10:13<55:53,  1.13s/it]
overall:  14%|█▎        | 544/4000 [10:16<1:07:22,  1.17s/it]

train:  15%|█▌        | 544/3515 [10:14<57:54,  1.17s/it]
overall:  14%|█▎        | 545/4000 [10:17<1:08:54,  1.20s/it]

train:  16%|█▌        | 545/3515 [10:15<59:13,  1.20s/it]
overall:  14%|█▎        | 546/4000 [10:18<1:08:38,  1.19s/it]

train:  16%|█▌        | 546/3515 [10:16<58:59,  1.19s/it]
overall:  14%|█▎        | 547/4000 [10:20<1:09:26,  1.21s/it]

train:  16%|█▌        | 547/3515 [10:18<59:41,  1.21s/it]
overall:  14%|█▎        | 548/4000 [10:21<1:08:39,  1.19s/it]

train:  16%|█▌        | 548/3515 [10:19<59:00,  1.19s/it]
overall:  14%|█▎        | 549/4000 [10:22<1:10:45,  1.23s/it]

train:  16%|█▌        | 549/3515 [10:20<1:00:48,  1.23s/it]
overall:  14%|█▍        | 550/4000 [10:23<1:11:19,  1.24s/it]

train:  16%|█▌        | 550/3515 [10:21<1:01:18,  1.24s/it]
overall:  14%|█▍        | 551/4000 [10:25<1:10:36,  1.23s/it]

train:  16%|█▌        | 551/3515 [10:23<1:00:41,  1.23s/it]
overall:  14%|█▍        | 552/4000 [10:26<1:06:10,  1.15s/it]

train:  16%|█▌        | 552/3515 [10:24<56:51,  1.15s/it]  
overall:  14%|█▍        | 553/4000 [10:27<1:05:19,  1.14s/it]

train:  16%|█▌        | 553/3515 [10:25<56:07,  1.14s/it]
overall:  14%|█▍        | 554/4000 [10:28<1:07:10,  1.17s/it]

train:  16%|█▌        | 554/3515 [10:26<57:43,  1.17s/it]
overall:  14%|█▍        | 555/4000 [10:28<53:38,  1.07it/s]  

train:  16%|█▌        | 555/3515 [10:26<46:05,  1.07it/s]
overall:  14%|█▍        | 556/4000 [10:30<58:32,  1.02s/it]

train:  16%|█▌        | 556/3515 [10:27<50:17,  1.02s/it]
overall:  14%|█▍        | 557/4000 [10:31<1:02:29,  1.09s/it]

train:  16%|█▌        | 557/3515 [10:29<53:41,  1.09s/it]
overall:  14%|█▍        | 558/4000 [10:32<1:04:42,  1.13s/it]

train:  16%|█▌        | 558/3515 [10:30<55:35,  1.13s/it]
overall:  14%|█▍        | 559/4000 [10:33<1:06:31,  1.16s/it]

train:  16%|█▌        | 559/3515 [10:31<57:09,  1.16s/it]
overall:  14%|█▍        | 560/4000 [10:34<1:04:05,  1.12s/it]

train:  16%|█▌        | 560/3515 [10:32<55:03,  1.12s/it]
overall:  14%|█▍        | 561/4000 [10:36<1:11:26,  1.25s/it]

train:  16%|█▌        | 561/3515 [10:34<1:01:21,  1.25s/it]
overall:  14%|█▍        | 562/4000 [10:37<1:05:19,  1.14s/it]

train:  16%|█▌        | 562/3515 [10:35<56:06,  1.14s/it]  
overall:  14%|█▍        | 563/4000 [10:38<1:06:57,  1.17s/it]

train:  16%|█▌        | 563/3515 [10:36<57:30,  1.17s/it]
overall:  14%|█▍        | 564/4000 [10:39<1:09:34,  1.21s/it]

train:  16%|█▌        | 564/3515 [10:37<59:45,  1.21s/it]
overall:  14%|█▍        | 565/4000 [10:40<56:07,  1.02it/s]  

train:  16%|█▌        | 565/3515 [10:38<48:11,  1.02it/s]
overall:  14%|█▍        | 566/4000 [10:41<1:00:53,  1.06s/it]

train:  16%|█▌        | 566/3515 [10:39<52:17,  1.06s/it]
overall:  14%|█▍        | 567/4000 [10:42<1:03:34,  1.11s/it]

train:  16%|█▌        | 567/3515 [10:40<54:35,  1.11s/it]
overall:  14%|█▍        | 568/4000 [10:42<49:28,  1.16it/s]  

train:  16%|█▌        | 568/3515 [10:40<42:28,  1.16it/s]
overall:  14%|█▍        | 569/4000 [10:44<56:11,  1.02it/s]

train:  16%|█▌        | 569/3515 [10:42<48:15,  1.02it/s]
overall:  14%|█▍        | 570/4000 [10:45<1:00:28,  1.06s/it]

train:  16%|█▌        | 570/3515 [10:43<51:55,  1.06s/it]
overall:  14%|█▍        | 571/4000 [10:46<1:04:44,  1.13s/it]

train:  16%|█▌        | 571/3515 [10:44<55:34,  1.13s/it]
overall:  14%|█▍        | 572/4000 [10:48<1:06:26,  1.16s/it]

train:  16%|█▋        | 572/3515 [10:45<57:02,  1.16s/it]
overall:  14%|█▍        | 573/4000 [10:49<1:09:04,  1.21s/it]

train:  16%|█▋        | 573/3515 [10:47<59:17,  1.21s/it]
overall:  14%|█▍        | 574/4000 [10:50<1:09:16,  1.21s/it]

train:  16%|█▋        | 574/3515 [10:48<59:28,  1.21s/it]
overall:  14%|█▍        | 575/4000 [10:51<1:10:40,  1.24s/it]

train:  16%|█▋        | 575/3515 [10:49<1:00:39,  1.24s/it]
overall:  14%|█▍        | 576/4000 [10:53<1:12:50,  1.28s/it]

train:  16%|█▋        | 576/3515 [10:51<1:02:31,  1.28s/it]
overall:  14%|█▍        | 577/4000 [10:54<1:10:10,  1.23s/it]

train:  16%|█▋        | 577/3515 [10:52<1:00:13,  1.23s/it]
overall:  14%|█▍        | 578/4000 [10:55<1:10:13,  1.23s/it]

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overall:  14%|█▍        | 579/4000 [10:56<1:00:07,  1.05s/it]

train:  16%|█▋        | 579/3515 [10:54<51:35,  1.05s/it]  
overall:  14%|█▍        | 580/4000 [10:57<1:02:18,  1.09s/it]

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overall:  15%|█▍        | 581/4000 [10:58<1:02:02,  1.09s/it]

train:  17%|█▋        | 581/3515 [10:56<53:14,  1.09s/it]
overall:  15%|█▍        | 582/4000 [10:59<1:02:56,  1.11s/it]

train:  17%|█▋        | 582/3515 [10:57<54:00,  1.11s/it]
overall:  15%|█▍        | 583/4000 [11:00<1:06:21,  1.17s/it]

train:  17%|█▋        | 583/3515 [10:58<56:56,  1.17s/it]
overall:  15%|█▍        | 584/4000 [11:02<1:06:46,  1.17s/it]

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overall:  15%|█▍        | 585/4000 [11:03<1:09:07,  1.21s/it]

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overall:  15%|█▍        | 586/4000 [11:04<1:10:35,  1.24s/it]

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overall:  15%|█▍        | 587/4000 [11:06<1:11:45,  1.26s/it]

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overall:  15%|█▍        | 588/4000 [11:07<1:11:13,  1.25s/it]

train:  17%|█▋        | 588/3515 [11:05<1:01:06,  1.25s/it]
overall:  15%|█▍        | 589/4000 [11:08<1:09:04,  1.22s/it]

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overall:  15%|█▍        | 590/4000 [11:09<59:31,  1.05s/it]  

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overall:  15%|█▍        | 591/4000 [11:10<1:03:56,  1.13s/it]

train:  17%|█▋        | 591/3515 [11:08<54:51,  1.13s/it]
overall:  15%|█▍        | 592/4000 [11:11<1:05:58,  1.16s/it]

train:  17%|█▋        | 592/3515 [11:09<56:35,  1.16s/it]
overall:  15%|█▍        | 593/4000 [11:12<1:05:26,  1.15s/it]

train:  17%|█▋        | 593/3515 [11:10<56:07,  1.15s/it]
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overall:  15%|█▍        | 595/4000 [11:15<1:07:00,  1.18s/it]

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overall:  15%|█▍        | 596/4000 [11:16<1:07:51,  1.20s/it]

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overall:  15%|█▍        | 597/4000 [11:17<58:35,  1.03s/it]  

train:  17%|█▋        | 597/3515 [11:14<50:14,  1.03s/it]
overall:  15%|█▍        | 598/4000 [11:18<1:02:12,  1.10s/it]

train:  17%|█▋        | 598/3515 [11:16<53:20,  1.10s/it]
overall:  15%|█▍        | 599/4000 [11:19<1:02:49,  1.11s/it]

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overall:  15%|█▌        | 600/4000 [11:20<1:03:19,  1.12s/it]

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overall:  15%|█▌        | 601/4000 [11:21<58:53,  1.04s/it]  

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overall:  15%|█▌        | 602/4000 [11:22<1:01:29,  1.09s/it]

train:  17%|█▋        | 602/3515 [11:20<52:42,  1.09s/it]
overall:  15%|█▌        | 603/4000 [11:23<1:03:56,  1.13s/it]

train:  17%|█▋        | 603/3515 [11:21<54:48,  1.13s/it]
overall:  15%|█▌        | 604/4000 [11:25<1:04:31,  1.14s/it]

train:  17%|█▋        | 604/3515 [11:22<55:18,  1.14s/it]
overall:  15%|█▌        | 605/4000 [11:26<1:07:22,  1.19s/it]

train:  17%|█▋        | 605/3515 [11:24<57:44,  1.19s/it]
overall:  15%|█▌        | 606/4000 [11:27<1:05:33,  1.16s/it]

train:  17%|█▋        | 606/3515 [11:25<56:11,  1.16s/it]
overall:  15%|█▌        | 607/4000 [11:28<1:00:34,  1.07s/it]

train:  17%|█▋        | 607/3515 [11:26<51:55,  1.07s/it]
overall:  15%|█▌        | 608/4000 [11:29<1:05:47,  1.16s/it]

train:  17%|█▋        | 608/3515 [11:27<56:22,  1.16s/it]
overall:  15%|█▌        | 609/4000 [11:30<1:06:37,  1.18s/it]

train:  17%|█▋        | 609/3515 [11:28<57:05,  1.18s/it]
overall:  15%|█▌        | 610/4000 [11:32<1:07:38,  1.20s/it]

train:  17%|█▋        | 610/3515 [11:29<57:57,  1.20s/it]
overall:  15%|█▌        | 611/4000 [11:32<55:05,  1.03it/s]  

train:  17%|█▋        | 611/3515 [11:30<47:12,  1.03it/s]
overall:  15%|█▌        | 612/4000 [11:33<49:15,  1.15it/s]

train:  17%|█▋        | 612/3515 [11:31<42:12,  1.15it/s]
overall:  15%|█▌        | 613/4000 [11:34<55:13,  1.02it/s]

train:  17%|█▋        | 613/3515 [11:32<47:19,  1.02it/s]
overall:  15%|█▌        | 614/4000 [11:35<1:00:39,  1.07s/it]

train:  17%|█▋        | 614/3515 [11:33<51:58,  1.07s/it]
overall:  15%|█▌        | 615/4000 [11:36<1:03:12,  1.12s/it]

train:  17%|█▋        | 615/3515 [11:34<54:08,  1.12s/it]
overall:  15%|█▌        | 616/4000 [11:38<1:03:24,  1.12s/it]

train:  18%|█▊        | 616/3515 [11:35<54:18,  1.12s/it]
overall:  15%|█▌        | 617/4000 [11:39<1:06:12,  1.17s/it]

train:  18%|█▊        | 617/3515 [11:37<56:42,  1.17s/it]
overall:  15%|█▌        | 618/4000 [11:40<1:07:06,  1.19s/it]

train:  18%|█▊        | 618/3515 [11:38<57:28,  1.19s/it]
overall:  15%|█▌        | 619/4000 [11:41<1:06:55,  1.19s/it]

train:  18%|█▊        | 619/3515 [11:39<57:19,  1.19s/it]
overall:  16%|█▌        | 620/4000 [11:43<1:07:41,  1.20s/it]

train:  18%|█▊        | 620/3515 [11:40<57:58,  1.20s/it]
overall:  16%|█▌        | 621/4000 [11:44<1:08:13,  1.21s/it]

train:  18%|█▊        | 621/3515 [11:42<58:25,  1.21s/it]
overall:  16%|█▌        | 622/4000 [11:45<1:08:17,  1.21s/it]

train:  18%|█▊        | 622/3515 [11:43<58:29,  1.21s/it]
overall:  16%|█▌        | 623/4000 [11:46<1:08:53,  1.22s/it]

train:  18%|█▊        | 623/3515 [11:44<59:00,  1.22s/it]
overall:  16%|█▌        | 624/4000 [11:48<1:13:08,  1.30s/it]

train:  18%|█▊        | 624/3515 [11:46<1:02:37,  1.30s/it]
overall:  16%|█▌        | 625/4000 [11:49<1:10:33,  1.25s/it]

train:  18%|█▊        | 625/3515 [11:47<1:00:24,  1.25s/it]
overall:  16%|█▌        | 626/4000 [11:50<1:09:14,  1.23s/it]

train:  18%|█▊        | 626/3515 [11:48<59:16,  1.23s/it]  
overall:  16%|█▌        | 627/4000 [11:51<1:09:05,  1.23s/it]

train:  18%|█▊        | 627/3515 [11:49<59:09,  1.23s/it]
overall:  16%|█▌        | 628/4000 [11:52<1:09:03,  1.23s/it]

train:  18%|█▊        | 628/3515 [11:50<59:07,  1.23s/it]
overall:  16%|█▌        | 629/4000 [11:54<1:09:32,  1.24s/it]

train:  18%|█▊        | 629/3515 [11:52<59:32,  1.24s/it]
overall:  16%|█▌        | 630/4000 [11:55<1:05:06,  1.16s/it]

train:  18%|█▊        | 630/3515 [11:53<55:44,  1.16s/it]
overall:  16%|█▌        | 631/4000 [11:56<1:04:58,  1.16s/it]

train:  18%|█▊        | 631/3515 [11:54<55:37,  1.16s/it]
overall:  16%|█▌        | 632/4000 [11:57<1:07:23,  1.20s/it]

train:  18%|█▊        | 632/3515 [11:55<57:41,  1.20s/it]
overall:  16%|█▌        | 633/4000 [11:58<1:09:49,  1.24s/it]

train:  18%|█▊        | 633/3515 [11:56<59:46,  1.24s/it]
overall:  16%|█▌        | 634/4000 [12:00<1:10:31,  1.26s/it]

train:  18%|█▊        | 634/3515 [11:58<1:00:21,  1.26s/it]
overall:  16%|█▌        | 635/4000 [12:00<56:16,  1.00s/it]  

train:  18%|█▊        | 635/3515 [11:58<48:10,  1.00s/it]  
overall:  16%|█▌        | 636/4000 [12:01<57:57,  1.03s/it]

train:  18%|█▊        | 636/3515 [11:59<49:36,  1.03s/it]
overall:  16%|█▌        | 637/4000 [12:03<1:01:30,  1.10s/it]

train:  18%|█▊        | 637/3515 [12:00<52:37,  1.10s/it]
overall:  16%|█▌        | 638/4000 [12:03<49:20,  1.14it/s]  

train:  18%|█▊        | 638/3515 [12:01<42:13,  1.14it/s]
overall:  16%|█▌        | 639/4000 [12:04<56:18,  1.01s/it]

train:  18%|█▊        | 639/3515 [12:02<48:10,  1.01s/it]
overall:  16%|█▌        | 640/4000 [12:05<56:25,  1.01s/it]

train:  18%|█▊        | 640/3515 [12:03<48:17,  1.01s/it]
overall:  16%|█▌        | 641/4000 [12:06<59:42,  1.07s/it]

train:  18%|█▊        | 641/3515 [12:04<51:04,  1.07s/it]
overall:  16%|█▌        | 642/4000 [12:08<1:01:23,  1.10s/it]

train:  18%|█▊        | 642/3515 [12:06<52:31,  1.10s/it]
overall:  16%|█▌        | 643/4000 [12:09<1:04:25,  1.15s/it]

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overall:  16%|█▌        | 644/4000 [12:10<1:05:22,  1.17s/it]

train:  18%|█▊        | 644/3515 [12:08<55:55,  1.17s/it]
overall:  16%|█▌        | 645/4000 [12:11<56:21,  1.01s/it]  

train:  18%|█▊        | 645/3515 [12:09<48:12,  1.01s/it]
overall:  16%|█▌        | 646/4000 [12:12<1:00:11,  1.08s/it]

train:  18%|█▊        | 646/3515 [12:10<51:28,  1.08s/it]
overall:  16%|█▌        | 647/4000 [12:13<1:00:05,  1.08s/it]

train:  18%|█▊        | 647/3515 [12:11<51:24,  1.08s/it]
overall:  16%|█▌        | 648/4000 [12:14<1:05:11,  1.17s/it]

train:  18%|█▊        | 648/3515 [12:12<55:45,  1.17s/it]
overall:  16%|█▌        | 649/4000 [12:16<1:06:19,  1.19s/it]

train:  18%|█▊        | 649/3515 [12:14<56:43,  1.19s/it]
overall:  16%|█▋        | 650/4000 [12:17<1:03:34,  1.14s/it]

train:  18%|█▊        | 650/3515 [12:15<54:22,  1.14s/it]
overall:  16%|█▋        | 651/4000 [12:18<1:05:58,  1.18s/it]

train:  19%|█▊        | 651/3515 [12:16<56:25,  1.18s/it]
overall:  16%|█▋        | 652/4000 [12:19<1:07:52,  1.22s/it]

train:  19%|█▊        | 652/3515 [12:17<58:02,  1.22s/it]
overall:  16%|█▋        | 653/4000 [12:21<1:08:55,  1.24s/it]

train:  19%|█▊        | 653/3515 [12:18<58:56,  1.24s/it]
overall:  16%|█▋        | 654/4000 [12:22<1:09:04,  1.24s/it]

train:  19%|█▊        | 654/3515 [12:20<59:03,  1.24s/it]
overall:  16%|█▋        | 655/4000 [12:23<1:04:02,  1.15s/it]

train:  19%|█▊        | 655/3515 [12:21<54:45,  1.15s/it]
overall:  16%|█▋        | 656/4000 [12:24<1:07:24,  1.21s/it]

train:  19%|█▊        | 656/3515 [12:22<57:38,  1.21s/it]
overall:  16%|█▋        | 657/4000 [12:25<1:07:11,  1.21s/it]

train:  19%|█▊        | 657/3515 [12:23<57:26,  1.21s/it]
overall:  16%|█▋        | 658/4000 [12:26<1:04:57,  1.17s/it]

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overall:  16%|█▋        | 659/4000 [12:27<55:08,  1.01it/s]  

train:  19%|█▊        | 659/3515 [12:25<47:08,  1.01it/s]
overall:  16%|█▋        | 660/4000 [12:28<1:00:20,  1.08s/it]

train:  19%|█▉        | 660/3515 [12:26<51:34,  1.08s/it]
overall:  17%|█▋        | 661/4000 [12:30<1:03:42,  1.14s/it]

train:  19%|█▉        | 661/3515 [12:27<54:26,  1.14s/it]
overall:  17%|█▋        | 662/4000 [12:31<1:02:26,  1.12s/it]

train:  19%|█▉        | 662/3515 [12:28<53:21,  1.12s/it]
overall:  17%|█▋        | 663/4000 [12:32<1:02:40,  1.13s/it]

train:  19%|█▉        | 663/3515 [12:30<53:33,  1.13s/it]
overall:  17%|█▋        | 664/4000 [12:33<1:02:48,  1.13s/it]

train:  19%|█▉        | 664/3515 [12:31<53:40,  1.13s/it]
overall:  17%|█▋        | 665/4000 [12:34<1:04:39,  1.16s/it]

train:  19%|█▉        | 665/3515 [12:32<55:15,  1.16s/it]
overall:  17%|█▋        | 666/4000 [12:35<1:05:04,  1.17s/it]

train:  19%|█▉        | 666/3515 [12:33<55:36,  1.17s/it]
overall:  17%|█▋        | 667/4000 [12:36<1:02:20,  1.12s/it]

train:  19%|█▉        | 667/3515 [12:34<53:16,  1.12s/it]
overall:  17%|█▋        | 668/4000 [12:37<1:03:13,  1.14s/it]

train:  19%|█▉        | 668/3515 [12:35<54:01,  1.14s/it]
overall:  17%|█▋        | 669/4000 [12:38<1:00:20,  1.09s/it]

train:  19%|█▉        | 669/3515 [12:36<51:33,  1.09s/it]
overall:  17%|█▋        | 670/4000 [12:39<51:58,  1.07it/s]  

train:  19%|█▉        | 670/3515 [12:37<44:24,  1.07it/s]
overall:  17%|█▋        | 671/4000 [12:40<47:25,  1.17it/s]

train:  19%|█▉        | 671/3515 [12:38<40:30,  1.17it/s]
overall:  17%|█▋        | 672/4000 [12:41<55:28,  1.00s/it]

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overall:  17%|█▋        | 673/4000 [12:42<59:57,  1.08s/it]

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overall:  17%|█▋        | 674/4000 [12:43<46:53,  1.18it/s]

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overall:  17%|█▋        | 675/4000 [12:44<53:10,  1.04it/s]

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overall:  17%|█▋        | 676/4000 [12:45<57:19,  1.03s/it]

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overall:  17%|█▋        | 677/4000 [12:46<1:01:16,  1.11s/it]

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overall:  17%|█▋        | 678/4000 [12:48<1:03:13,  1.14s/it]

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overall:  17%|█▋        | 679/4000 [12:49<1:05:38,  1.19s/it]

train:  19%|█▉        | 679/3515 [12:47<56:03,  1.19s/it]
overall:  17%|█▋        | 680/4000 [12:50<1:09:31,  1.26s/it]

train:  19%|█▉        | 680/3515 [12:48<59:22,  1.26s/it]
overall:  17%|█▋        | 681/4000 [12:52<1:10:16,  1.27s/it]

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overall:  17%|█▋        | 682/4000 [12:53<1:09:39,  1.26s/it]

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overall:  17%|█▋        | 683/4000 [12:54<1:09:27,  1.26s/it]

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overall:  17%|█▋        | 684/4000 [12:55<1:09:09,  1.25s/it]

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overall:  17%|█▋        | 685/4000 [12:56<1:07:04,  1.21s/it]

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overall:  17%|█▋        | 686/4000 [12:57<1:04:36,  1.17s/it]

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train:  28%|██▊       | 999/3515 [18:51<50:23,  1.20s/it]train loss: 238.5794219970703
train per: 1.1008835062292153
train loss: 181.559326171875
train per: 1.0262313033523307
train loss: 60.706214904785156
train per: 0.963207307789901
train loss: 45.11901092529297
train per: 0.9683490589586141
train loss: 30.19649314880371
train per: 1.0021709142715
train loss: 28.40591049194336
train per: 1.0219090478446233
train loss: 28.284725189208984
train per: 0.9781800148772626
train loss: 20.76663589477539
train per: 0.9464862816769564
train loss: 18.563152313232422
train per: 0.9350020100289868
train loss: 23.62449836730957
train per: 0.9130412237490277
train loss: 26.39398765563965
train per: 0.9312909260991581
train loss: 21.164134979248047
train per: 0.8802464189121506
train loss: 19.9626407623291
train per: 0.9161375251664859
train loss: 17.527786254882812
train per: 0.9138786205605728
train loss: 18.13541030883789
train per: 0.889139993613206
train loss: 20.563446044921875
train per: 0.8994370589634485
train loss: 21.890718460083008
train per: 0.9487713562539548
train loss: 21.898117065429688
train per: 1.0338430430936434
train loss: 17.453044891357422
train per: 0.9150989151244416
train loss: 15.90361213684082
train per: 0.9290258593579912
train loss: 14.099311828613281
train per: 0.9456104269395644
train loss: 17.543651580810547
train per: 1.0781161492191083
train loss: 15.90428638458252
train per: 0.9231845707597578
train loss: 14.978261947631836
train per: 0.8810529491627697
train loss: 18.117223739624023
train per: 0.9093366222315524
train loss: 12.85448932647705
train per: 0.8506680394037953
train loss: 15.333776473999023
train per: 0.9427767132685165
train loss: 13.725091934204102
train per: 0.8658593045639513
train loss: 11.783205032348633
train per: 0.9202758900497008
train loss: 8.035874366760254
train per: 0.7770144913002056
train loss: 7.746363162994385
train per: 0.7972774657152978
train loss: 9.074625015258789
train per: 0.8792251235708223
train loss: 9.102274894714355
train per: 0.8024532594717578
train loss: 9.559137344360352
train per: 0.8627280625543006
train loss: 7.124014854431152
train per: 0.7687568131191052
train loss: 8.588111877441406
train per: 0.8403118385048273
train loss: 7.866172790527344
train per: 0.768971288785889
train loss: 8.27318000793457
train per: 0.734169035926596
train loss: 8.748175621032715
train per: 0.79758766476001
train loss: 6.084558010101318
train per: 0.7481797455321026
train loss: 7.652541160583496
train per: 0.8291296882934732
train loss: 8.960211753845215
train per: 0.790115182206335
train loss: 7.133979797363281
train per: 0.7179259397793155
train loss: 8.745756149291992
train per: 0.8281041622797782
train loss: 8.001330375671387
train per: 0.7514729512587038
train loss: 8.540471076965332
train per: 0.8430333799327987
train loss: 9.827324867248535
train per: 0.7833457652403879
train loss: 12.336969375610352
train per: 0.8284718972599179
train loss: 13.112210273742676
train per: 0.7856715486069561
train loss: 16.08438491821289
train per: 0.895987090343862
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 569/2703 [00:00<00:00, 5688.03it/s]


word -> phonemes:  43%|████▎     | 1170/2703 [00:00<00:00, 5872.05it/s]


word -> phonemes:  65%|██████▌   | 1758/2703 [00:00<00:00, 5745.48it/s]


word -> phonemes:  88%|████████▊ | 2367/2703 [00:00<00:00, 5878.51it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5848.63it/s]



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overall:  47%|████▋     | 1892/4000 [38:30<43:55,  1.25s/it]

train:  54%|█████▍    | 1892/3515 [38:28<33:49,  1.25s/it]
overall:  47%|████▋     | 1893/4000 [38:31<41:58,  1.20s/it]

train:  54%|█████▍    | 1893/3515 [38:29<32:18,  1.20s/it]
overall:  47%|████▋     | 1894/4000 [38:33<42:55,  1.22s/it]

train:  54%|█████▍    | 1894/3515 [38:31<33:02,  1.22s/it]
overall:  47%|████▋     | 1895/4000 [38:34<42:55,  1.22s/it]

train:  54%|█████▍    | 1895/3515 [38:32<33:02,  1.22s/it]
overall:  47%|████▋     | 1896/4000 [38:34<32:58,  1.06it/s]

train:  54%|█████▍    | 1896/3515 [38:32<25:22,  1.06it/s]
overall:  47%|████▋     | 1897/4000 [38:35<35:10,  1.00s/it]

train:  54%|█████▍    | 1897/3515 [38:33<27:04,  1.00s/it]
overall:  47%|████▋     | 1898/4000 [38:37<37:33,  1.07s/it]

train:  54%|█████▍    | 1898/3515 [38:34<28:53,  1.07s/it]
overall:  47%|████▋     | 1899/4000 [38:37<30:40,  1.14it/s]

train:  54%|█████▍    | 1899/3515 [38:35<23:35,  1.14it/s]
overall:  48%|████▊     | 1900/4000 [38:38<34:34,  1.01it/s]

train:  54%|█████▍    | 1900/3515 [38:36<26:35,  1.01it/s]
overall:  48%|████▊     | 1901/4000 [38:39<37:32,  1.07s/it]

train:  54%|█████▍    | 1901/3515 [38:37<28:51,  1.07s/it]
overall:  48%|████▊     | 1902/4000 [38:41<40:59,  1.17s/it]

train:  54%|█████▍    | 1902/3515 [38:39<31:31,  1.17s/it]
overall:  48%|████▊     | 1903/4000 [38:42<42:01,  1.20s/it]

train:  54%|█████▍    | 1903/3515 [38:40<32:18,  1.20s/it]
overall:  48%|████▊     | 1904/4000 [38:43<42:18,  1.21s/it]

train:  54%|█████▍    | 1904/3515 [38:41<32:30,  1.21s/it]
overall:  48%|████▊     | 1905/4000 [38:45<42:32,  1.22s/it]

train:  54%|█████▍    | 1905/3515 [38:43<32:41,  1.22s/it]
overall:  48%|████▊     | 1906/4000 [38:46<42:23,  1.21s/it]

train:  54%|█████▍    | 1906/3515 [38:44<32:34,  1.21s/it]
overall:  48%|████▊     | 1907/4000 [38:47<42:16,  1.21s/it]

train:  54%|█████▍    | 1907/3515 [38:45<32:28,  1.21s/it]
overall:  48%|████▊     | 1908/4000 [38:48<35:19,  1.01s/it]

train:  54%|█████▍    | 1908/3515 [38:45<27:07,  1.01s/it]
overall:  48%|████▊     | 1909/4000 [38:49<37:42,  1.08s/it]

train:  54%|█████▍    | 1909/3515 [38:47<28:57,  1.08s/it]
overall:  48%|████▊     | 1910/4000 [38:50<39:45,  1.14s/it]

train:  54%|█████▍    | 1910/3515 [38:48<30:32,  1.14s/it]
overall:  48%|████▊     | 1911/4000 [38:51<33:34,  1.04it/s]

train:  54%|█████▍    | 1911/3515 [38:49<25:46,  1.04it/s]
overall:  48%|████▊     | 1912/4000 [38:52<37:13,  1.07s/it]

train:  54%|█████▍    | 1912/3515 [38:50<28:34,  1.07s/it]
overall:  48%|████▊     | 1913/4000 [38:53<38:04,  1.09s/it]

train:  54%|█████▍    | 1913/3515 [38:51<29:13,  1.09s/it]
overall:  48%|████▊     | 1914/4000 [38:54<37:04,  1.07s/it]

train:  54%|█████▍    | 1914/3515 [38:52<28:26,  1.07s/it]
overall:  48%|████▊     | 1915/4000 [38:55<35:52,  1.03s/it]

train:  54%|█████▍    | 1915/3515 [38:53<27:32,  1.03s/it]
overall:  48%|████▊     | 1916/4000 [38:55<28:43,  1.21it/s]

train:  55%|█████▍    | 1916/3515 [38:53<22:02,  1.21it/s]
overall:  48%|████▊     | 1917/4000 [38:57<32:46,  1.06it/s]

train:  55%|█████▍    | 1917/3515 [38:55<25:08,  1.06it/s]
overall:  48%|████▊     | 1918/4000 [38:58<35:42,  1.03s/it]

train:  55%|█████▍    | 1918/3515 [38:56<27:23,  1.03s/it]
overall:  48%|████▊     | 1919/4000 [38:59<37:17,  1.08s/it]

train:  55%|█████▍    | 1919/3515 [38:57<28:35,  1.08s/it]
overall:  48%|████▊     | 1920/4000 [39:00<38:37,  1.11s/it]

train:  55%|█████▍    | 1920/3515 [38:58<29:37,  1.11s/it]
overall:  48%|████▊     | 1921/4000 [39:02<39:56,  1.15s/it]

train:  55%|█████▍    | 1921/3515 [38:59<30:37,  1.15s/it]
overall:  48%|████▊     | 1922/4000 [39:03<39:08,  1.13s/it]

train:  55%|█████▍    | 1922/3515 [39:00<30:00,  1.13s/it]
overall:  48%|████▊     | 1923/4000 [39:04<40:36,  1.17s/it]

train:  55%|█████▍    | 1923/3515 [39:02<31:07,  1.17s/it]
overall:  48%|████▊     | 1924/4000 [39:05<40:58,  1.18s/it]

train:  55%|█████▍    | 1924/3515 [39:03<31:23,  1.18s/it]
overall:  48%|████▊     | 1925/4000 [39:06<41:56,  1.21s/it]

train:  55%|█████▍    | 1925/3515 [39:04<32:08,  1.21s/it]
overall:  48%|████▊     | 1926/4000 [39:08<43:37,  1.26s/it]

train:  55%|█████▍    | 1926/3515 [39:06<33:25,  1.26s/it]
overall:  48%|████▊     | 1927/4000 [39:08<33:30,  1.03it/s]

train:  55%|█████▍    | 1927/3515 [39:06<25:40,  1.03it/s]
overall:  48%|████▊     | 1928/4000 [39:09<36:19,  1.05s/it]

train:  55%|█████▍    | 1928/3515 [39:07<27:49,  1.05s/it]
overall:  48%|████▊     | 1929/4000 [39:10<37:19,  1.08s/it]

train:  55%|█████▍    | 1929/3515 [39:08<28:34,  1.08s/it]
overall:  48%|████▊     | 1930/4000 [39:12<38:40,  1.12s/it]

train:  55%|█████▍    | 1930/3515 [39:10<29:36,  1.12s/it]
overall:  48%|████▊     | 1931/4000 [39:13<39:10,  1.14s/it]

train:  55%|█████▍    | 1931/3515 [39:11<29:59,  1.14s/it]
overall:  48%|████▊     | 1932/4000 [39:14<40:03,  1.16s/it]

train:  55%|█████▍    | 1932/3515 [39:12<30:39,  1.16s/it]
overall:  48%|████▊     | 1933/4000 [39:15<39:34,  1.15s/it]

train:  55%|█████▍    | 1933/3515 [39:13<30:17,  1.15s/it]
overall:  48%|████▊     | 1934/4000 [39:16<40:06,  1.16s/it]

train:  55%|█████▌    | 1934/3515 [39:14<30:41,  1.16s/it]
overall:  48%|████▊     | 1935/4000 [39:18<41:19,  1.20s/it]

train:  55%|█████▌    | 1935/3515 [39:16<31:37,  1.20s/it]
overall:  48%|████▊     | 1936/4000 [39:19<43:20,  1.26s/it]

train:  55%|█████▌    | 1936/3515 [39:17<33:09,  1.26s/it]
overall:  48%|████▊     | 1937/4000 [39:20<42:35,  1.24s/it]

train:  55%|█████▌    | 1937/3515 [39:18<32:34,  1.24s/it]
overall:  48%|████▊     | 1938/4000 [39:21<42:42,  1.24s/it]

train:  55%|█████▌    | 1938/3515 [39:19<32:39,  1.24s/it]
overall:  48%|████▊     | 1939/4000 [39:23<42:15,  1.23s/it]

train:  55%|█████▌    | 1939/3515 [39:21<32:18,  1.23s/it]
overall:  48%|████▊     | 1940/4000 [39:24<41:19,  1.20s/it]

train:  55%|█████▌    | 1940/3515 [39:22<31:36,  1.20s/it]
overall:  49%|████▊     | 1941/4000 [39:25<41:01,  1.20s/it]

train:  55%|█████▌    | 1941/3515 [39:23<31:21,  1.20s/it]
overall:  49%|████▊     | 1942/4000 [39:26<41:32,  1.21s/it]

train:  55%|█████▌    | 1942/3515 [39:24<31:44,  1.21s/it]
overall:  49%|████▊     | 1943/4000 [39:27<41:26,  1.21s/it]

train:  55%|█████▌    | 1943/3515 [39:25<31:40,  1.21s/it]
overall:  49%|████▊     | 1944/4000 [39:29<40:45,  1.19s/it]

train:  55%|█████▌    | 1944/3515 [39:26<31:08,  1.19s/it]
overall:  49%|████▊     | 1945/4000 [39:30<40:56,  1.20s/it]

train:  55%|█████▌    | 1945/3515 [39:28<31:16,  1.20s/it]
overall:  49%|████▊     | 1946/4000 [39:31<41:21,  1.21s/it]

train:  55%|█████▌    | 1946/3515 [39:29<31:35,  1.21s/it]
overall:  49%|████▊     | 1947/4000 [39:32<41:38,  1.22s/it]

train:  55%|█████▌    | 1947/3515 [39:30<31:48,  1.22s/it]
overall:  49%|████▊     | 1948/4000 [39:33<38:12,  1.12s/it]

train:  55%|█████▌    | 1948/3515 [39:31<29:10,  1.12s/it]
overall:  49%|████▊     | 1949/4000 [39:34<38:21,  1.12s/it]

train:  55%|█████▌    | 1949/3515 [39:32<29:17,  1.12s/it]
overall:  49%|████▉     | 1950/4000 [39:36<40:52,  1.20s/it]

train:  55%|█████▌    | 1950/3515 [39:34<31:12,  1.20s/it]
overall:  49%|████▉     | 1951/4000 [39:37<41:02,  1.20s/it]

train:  56%|█████▌    | 1951/3515 [39:35<31:19,  1.20s/it]
overall:  49%|████▉     | 1952/4000 [39:38<38:26,  1.13s/it]

train:  56%|█████▌    | 1952/3515 [39:36<29:20,  1.13s/it]
overall:  49%|████▉     | 1953/4000 [39:39<39:57,  1.17s/it]

train:  56%|█████▌    | 1953/3515 [39:37<30:29,  1.17s/it]
overall:  49%|████▉     | 1954/4000 [39:40<40:27,  1.19s/it]

train:  56%|█████▌    | 1954/3515 [39:38<30:51,  1.19s/it]
overall:  49%|████▉     | 1955/4000 [39:41<39:42,  1.17s/it]

train:  56%|█████▌    | 1955/3515 [39:39<30:17,  1.17s/it]
overall:  49%|████▉     | 1956/4000 [39:43<39:21,  1.16s/it]

train:  56%|█████▌    | 1956/3515 [39:40<30:01,  1.16s/it]
overall:  49%|████▉     | 1957/4000 [39:44<39:33,  1.16s/it]

train:  56%|█████▌    | 1957/3515 [39:42<30:09,  1.16s/it]
overall:  49%|████▉     | 1958/4000 [39:45<39:46,  1.17s/it]

train:  56%|█████▌    | 1958/3515 [39:43<30:19,  1.17s/it]
overall:  49%|████▉     | 1959/4000 [39:46<40:14,  1.18s/it]

train:  56%|█████▌    | 1959/3515 [39:44<30:40,  1.18s/it]
overall:  49%|████▉     | 1960/4000 [39:48<42:32,  1.25s/it]

train:  56%|█████▌    | 1960/3515 [39:45<32:25,  1.25s/it]
overall:  49%|████▉     | 1961/4000 [39:49<42:50,  1.26s/it]

train:  56%|█████▌    | 1961/3515 [39:47<32:39,  1.26s/it]
overall:  49%|████▉     | 1962/4000 [39:50<42:53,  1.26s/it]

train:  56%|█████▌    | 1962/3515 [39:48<32:40,  1.26s/it]
overall:  49%|████▉     | 1963/4000 [39:51<41:38,  1.23s/it]

train:  56%|█████▌    | 1963/3515 [39:49<31:43,  1.23s/it]
overall:  49%|████▉     | 1964/4000 [39:53<42:22,  1.25s/it]

train:  56%|█████▌    | 1964/3515 [39:50<32:16,  1.25s/it]
overall:  49%|████▉     | 1965/4000 [39:53<39:14,  1.16s/it]

train:  56%|█████▌    | 1965/3515 [39:51<29:53,  1.16s/it]
overall:  49%|████▉     | 1966/4000 [39:55<40:14,  1.19s/it]

train:  56%|█████▌    | 1966/3515 [39:53<30:38,  1.19s/it]
overall:  49%|████▉     | 1967/4000 [39:56<39:35,  1.17s/it]

train:  56%|█████▌    | 1967/3515 [39:54<30:08,  1.17s/it]
overall:  49%|████▉     | 1968/4000 [39:56<32:56,  1.03it/s]

train:  56%|█████▌    | 1968/3515 [39:54<25:04,  1.03it/s]
overall:  49%|████▉     | 1969/4000 [39:58<34:45,  1.03s/it]

train:  56%|█████▌    | 1969/3515 [39:55<26:27,  1.03s/it]
overall:  49%|████▉     | 1970/4000 [39:59<36:48,  1.09s/it]

train:  56%|█████▌    | 1970/3515 [39:57<28:00,  1.09s/it]
overall:  49%|████▉     | 1971/4000 [40:00<37:48,  1.12s/it]

train:  56%|█████▌    | 1971/3515 [39:58<28:46,  1.12s/it]
overall:  49%|████▉     | 1972/4000 [40:01<38:55,  1.15s/it]

train:  56%|█████▌    | 1972/3515 [39:59<29:37,  1.15s/it]
overall:  49%|████▉     | 1973/4000 [40:02<40:11,  1.19s/it]

train:  56%|█████▌    | 1973/3515 [40:00<30:34,  1.19s/it]
overall:  49%|████▉     | 1974/4000 [40:04<41:34,  1.23s/it]

train:  56%|█████▌    | 1974/3515 [40:02<31:37,  1.23s/it]
overall:  49%|████▉     | 1975/4000 [40:04<33:27,  1.01it/s]

train:  56%|█████▌    | 1975/3515 [40:02<25:26,  1.01it/s]
overall:  49%|████▉     | 1976/4000 [40:05<35:47,  1.06s/it]

train:  56%|█████▌    | 1976/3515 [40:03<27:13,  1.06s/it]
overall:  49%|████▉     | 1977/4000 [40:07<37:28,  1.11s/it]

train:  56%|█████▌    | 1977/3515 [40:05<28:29,  1.11s/it]
overall:  49%|████▉     | 1978/4000 [40:08<38:00,  1.13s/it]

train:  56%|█████▋    | 1978/3515 [40:06<28:53,  1.13s/it]
overall:  49%|████▉     | 1979/4000 [40:09<38:51,  1.15s/it]

train:  56%|█████▋    | 1979/3515 [40:07<29:32,  1.15s/it]
overall:  50%|████▉     | 1980/4000 [40:10<38:56,  1.16s/it]

train:  56%|█████▋    | 1980/3515 [40:08<29:35,  1.16s/it]
overall:  50%|████▉     | 1981/4000 [40:11<38:02,  1.13s/it]

train:  56%|█████▋    | 1981/3515 [40:09<28:54,  1.13s/it]
overall:  50%|████▉     | 1982/4000 [40:13<38:59,  1.16s/it]

train:  56%|█████▋    | 1982/3515 [40:10<29:37,  1.16s/it]
overall:  50%|████▉     | 1983/4000 [40:14<40:17,  1.20s/it]

train:  56%|█████▋    | 1983/3515 [40:12<30:35,  1.20s/it]
overall:  50%|████▉     | 1984/4000 [40:15<42:48,  1.27s/it]

train:  56%|█████▋    | 1984/3515 [40:13<32:30,  1.27s/it]
overall:  50%|████▉     | 1985/4000 [40:16<42:18,  1.26s/it]

train:  56%|█████▋    | 1985/3515 [40:14<32:07,  1.26s/it]
overall:  50%|████▉     | 1986/4000 [40:18<42:17,  1.26s/it]

train:  57%|█████▋    | 1986/3515 [40:16<32:06,  1.26s/it]
overall:  50%|████▉     | 1987/4000 [40:19<41:51,  1.25s/it]

train:  57%|█████▋    | 1987/3515 [40:17<31:46,  1.25s/it]
overall:  50%|████▉     | 1988/4000 [40:20<41:18,  1.23s/it]

train:  57%|█████▋    | 1988/3515 [40:18<31:21,  1.23s/it]
overall:  50%|████▉     | 1989/4000 [40:21<40:54,  1.22s/it]

train:  57%|█████▋    | 1989/3515 [40:19<31:02,  1.22s/it]
overall:  50%|████▉     | 1990/4000 [40:23<40:31,  1.21s/it]

train:  57%|█████▋    | 1990/3515 [40:20<30:44,  1.21s/it]
overall:  50%|████▉     | 1991/4000 [40:24<40:24,  1.21s/it]

train:  57%|█████▋    | 1991/3515 [40:22<30:39,  1.21s/it]
overall:  50%|████▉     | 1992/4000 [40:25<40:41,  1.22s/it]

train:  57%|█████▋    | 1992/3515 [40:23<30:51,  1.22s/it]
overall:  50%|████▉     | 1993/4000 [40:26<41:13,  1.23s/it]

train:  57%|█████▋    | 1993/3515 [40:24<31:16,  1.23s/it]
overall:  50%|████▉     | 1994/4000 [40:27<39:08,  1.17s/it]

train:  57%|█████▋    | 1994/3515 [40:25<29:40,  1.17s/it]
overall:  50%|████▉     | 1995/4000 [40:28<38:52,  1.16s/it]

train:  57%|█████▋    | 1995/3515 [40:26<29:28,  1.16s/it]
overall:  50%|████▉     | 1996/4000 [40:30<38:59,  1.17s/it]

train:  57%|█████▋    | 1996/3515 [40:27<29:33,  1.17s/it]
overall:  50%|████▉     | 1997/4000 [40:31<40:03,  1.20s/it]

train:  57%|█████▋    | 1997/3515 [40:29<30:21,  1.20s/it]
overall:  50%|████▉     | 1998/4000 [40:32<41:27,  1.24s/it]

train:  57%|█████▋    | 1998/3515 [40:30<31:24,  1.24s/it]
overall:  50%|████▉     | 1999/4000 [40:33<40:49,  1.22s/it]

train:  57%|█████▋    | 1999/3515 [40:31<30:56,  1.22s/it]dev loss: 15.54183292388916
dev per: 0.7435483870967742
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 14.203231811523438
train per: 0.871304347826087
train loss: 8.77994441986084
train per: 0.7258068462648951
train loss: 7.168847560882568
train per: 0.721484375
train loss: 6.383821964263916
train per: 0.7172954570822636
train loss: 6.455165863037109
train per: 0.7432113056480008
train loss: 6.321394443511963
train per: 0.7426553860502298
train loss: 5.577254772186279
train per: 0.7359148017275225
train loss: 6.817099094390869
train per: 0.7318613661695239
train loss: 8.602042198181152
train per: 0.8028658991137249
train loss: 7.801941871643066
train per: 0.7460605896232811
train loss: 9.354455947875977
train per: 0.7614655327458184
train loss: 8.564733505249023
train per: 0.7880599870841206
train loss: 7.957711219787598
train per: 0.774938598148498
train loss: 8.113080978393555
train per: 0.7483065097285612
train loss: 6.498929500579834
train per: 0.7416300542724902
train loss: 11.119176864624023
train per: 0.8763906056860321
train loss: 11.569154739379883
train per: 0.7990675079568932
train loss: 12.491742134094238
train per: 0.8147932440302854
train loss: 9.520197868347168
train per: 0.7504279807211146
train loss: 6.358757019042969
train per: 0.7162390276839973
train loss: 6.301208972930908
train per: 0.6967099276854557
train loss: 6.25852632522583
train per: 0.7072139127147279
train loss: 6.458117485046387
train per: 0.7327688203224684
train loss: 5.504879951477051
train per: 0.6924886831538836
train loss: 7.270410060882568
train per: 0.8002242350927921
train loss: 6.593951225280762
train per: 0.7189623815449411
train loss: 21.124542236328125
train per: 0.9100644122383252
train loss: 30.6806583404541
train per: 1.082068168107782
train loss: 23.10831069946289
train per: 0.9074476445841616
train loss: 26.783523559570312
train per: 0.9408106041294927
train loss: 18.64552116394043
train per: 0.8983143632672612
train loss: 13.656015396118164
train per: 0.8626899534422046
train loss: 11.812681198120117
train per: 0.837071184139823
train loss: 7.1708855628967285
train per: 0.7093633630939028
train loss: 8.213991165161133
train per: 0.7694424969489236
train loss: 8.06828784942627
train per: 0.7349657727506931
train loss: 6.800240993499756
train per: 0.706451157538114
train loss: 6.256449222564697
train per: 0.7360881128004416
train loss: 7.034211158752441
train per: 0.7330302517350615
train loss: 6.030735969543457
train per: 0.7007642709552142
train loss: 6.604737281799316
train per: 0.7224896921215712
train loss: 8.815439224243164
train per: 0.7534343256118771
train loss: 8.121484756469727
train per: 0.7337103393053749
train loss: 7.236048698425293
train per: 0.712613815709603
train loss: 7.510136604309082
train per: 0.7738917853668271
train loss: 12.0629301071167
train per: 0.8717928802588997
train loss: 7.76351261138916
train per: 0.6958651219741924
train loss: 6.178708076477051
train per: 0.6992283658398031
train loss: 5.581301689147949
train per: 0.7027168887000425
train loss: 5.13724422454834
train per: 0.6831108794670172
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██▏       | 578/2703 [00:00<00:00, 5770.06it/s]


word -> phonemes:  43%|████▎     | 1156/2703 [00:00<00:00, 5587.34it/s]


word -> phonemes:  64%|██████▍   | 1743/2703 [00:00<00:00, 5710.37it/s]


word -> phonemes:  86%|████████▌ | 2322/2703 [00:00<00:00, 5737.79it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5661.86it/s]



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overall:  75%|███████▍  | 2995/4000 [1:02:01<18:14,  1.09s/it]

train:  85%|████████▌ | 2995/3515 [1:01:59<09:26,  1.09s/it]
overall:  75%|███████▍  | 2996/4000 [1:02:02<19:26,  1.16s/it]

train:  85%|████████▌ | 2996/3515 [1:02:00<10:02,  1.16s/it]
overall:  75%|███████▍  | 2997/4000 [1:02:03<19:36,  1.17s/it]

train:  85%|████████▌ | 2997/3515 [1:02:01<10:07,  1.17s/it]
overall:  75%|███████▍  | 2998/4000 [1:02:04<19:59,  1.20s/it]

train:  85%|████████▌ | 2998/3515 [1:02:02<10:18,  1.20s/it]
overall:  75%|███████▍  | 2999/4000 [1:02:05<18:44,  1.12s/it]

train:  85%|████████▌ | 2999/3515 [1:02:03<09:39,  1.12s/it]dev loss: 6.898258209228516
dev per: 0.7128876170655567
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 5.423399925231934
train per: 0.6842027376988531
train loss: 7.102438926696777
train per: 0.7133171794306973
train loss: 8.286188125610352
train per: 0.7340972138463394
train loss: 6.204348087310791
train per: 0.6792291004490187
train loss: 6.328834533691406
train per: 0.713850799465373
train loss: 8.334689140319824
train per: 0.7681791978917895
train loss: 13.689809799194336
train per: 0.8089662291697389
train loss: 10.184229850769043
train per: 0.7376161169121546
train loss: 8.026233673095703
train per: 0.7014634146341463
train loss: 5.675471305847168
train per: 0.6610883202014283
train loss: 4.9946160316467285
train per: 0.7140087022323117
train loss: 5.7983245849609375
train per: 0.6954965253752895
train loss: 7.338142395019531
train per: 0.7719969013169403
train loss: 9.938824653625488
train per: 0.7537070348582818
train loss: 8.924382209777832
train per: 0.7097598364844149
train loss: 7.182264804840088
train per: 0.7062582635522257
train loss: 10.822921752929688
train per: 0.8236350037397158
train loss: 11.93974494934082
train per: 0.8486258048047196
train loss: 7.029839992523193
train per: 0.6661477530276322
train loss: 7.877684593200684
train per: 0.7609694943585458
train loss: 7.00433349609375
train per: 0.7075895627994737
train loss: 5.843400478363037
train per: 0.7030620467365029
train loss: 8.934450149536133
train per: 0.8450379319365502
train loss: 9.05549144744873
train per: 0.7733397375938519
train loss: 12.348947525024414
train per: 0.7993968566954707
train loss: 11.89309024810791
train per: 0.778290474646447
train loss: 7.9313645362854
train per: 0.677496018001163
train loss: 7.850754737854004
train per: 0.6888553695507035
train loss: 6.552910804748535
train per: 0.690122765252299
train loss: 6.899703025817871
train per: 0.7180596171331679
train loss: 6.6477484703063965
train per: 0.6900355029585798
train loss: 8.732879638671875
train per: 0.7321605420901747
train loss: 6.947235107421875
train per: 0.6941934528218042
train loss: 6.479255676269531
train per: 0.7264701245467444
train loss: 7.737399101257324
train per: 0.7175464385941467
train loss: 7.876809597015381
train per: 0.72763813709202
train loss: 9.312685012817383
train per: 0.7309000456875984
train loss: 10.40850830078125
train per: 0.7547578645085498
train loss: 9.21165943145752
train per: 0.7193455591513844
train loss: 7.728365898132324
train per: 0.7038355368298707
train loss: 7.274019718170166
train per: 0.7051846183279128
train loss: 21.658884048461914
train per: 0.8384413423795783
train loss: 22.149608612060547
train per: 0.8626326799411173
train loss: 13.331509590148926
train per: 0.7739934314560273
train loss: 8.534341812133789
train per: 0.6988809227757348
train loss: 7.277848243713379
train per: 0.679065615235828
train loss: 6.68569803237915
train per: 0.6719807375491066
train loss: 6.5190324783325195
train per: 0.7032128417980431
train loss: 11.711347579956055
train per: 0.7817720843341339
train loss: 14.81652545928955
train per: 0.7663845280877625
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 524/2703 [00:00<00:00, 5233.28it/s]


word -> phonemes:  39%|███▉      | 1055/2703 [00:00<00:00, 5272.03it/s]


word -> phonemes:  60%|██████    | 1626/2703 [00:00<00:00, 5468.54it/s]


word -> phonemes:  82%|████████▏ | 2215/2703 [00:00<00:00, 5631.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5527.64it/s]



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train: 100%|██████████| 3515/3515 [1:14:35<00:00,  1.16s/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 [1:14:35<00:00,  1.27s/it]
dev loss: 10.917267799377441
dev per: 0.7263163371488033
train loss: 9.042808532714844
train per: 0.6920257506696114
train loss: 7.456217288970947
train per: 0.7194549974203837
train loss: 5.8690690994262695
train per: 0.6634481456125026
train loss: 5.776240348815918
train per: 0.684065319513832
train loss: 8.582547187805176
train per: 0.7485947442006449
train loss: 11.242125511169434
train per: 0.7530451711346715
train loss: 10.72836685180664
train per: 0.7806376842842897
train loss: 8.395132064819336
train per: 0.71357583944423
train loss: 8.784428596496582
train per: 0.7271248888324228
train loss: 6.642233371734619
train per: 0.6772900717559817
train loss: 11.822904586791992
train per: 0.835484973575579
train loss: 11.482156753540039
train per: 0.778560953687497
train loss: 14.9876127243042
train per: 0.7472427150928964
train loss: 7.600142478942871
train per: 0.6732501565586011
train loss: 6.327883243560791
train per: 0.6702935889754343
train loss: 5.895549297332764
train per: 0.6642567448421796
train loss: 5.418148994445801
train per: 0.674461496425156
train loss: 6.670444488525391
train per: 0.7093710010827837
train loss: 10.352029800415039
train per: 0.8122758964143426
train loss: 8.009889602661133
train per: 0.7032460732984294
train loss: 15.993364334106445
train per: 0.7935475305363782
train loss: 15.85295295715332
train per: 0.7579592380444918
train loss: 15.509515762329102
train per: 0.7562532601405897
train loss: 11.364677429199219
train per: 0.701853216805307
train loss: 8.631589889526367
train per: 0.6835972719916773
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 381/3515 [00:00<00:00, 3804.83it/s]

word -> phonemes:  22%|██▏       | 762/3515 [00:00<00:00, 3672.68it/s]

word -> phonemes:  32%|███▏      | 1130/3515 [00:00<00:00, 3268.52it/s]

word -> phonemes:  45%|████▌     | 1588/3515 [00:00<00:00, 3690.57it/s]

word -> phonemes:  56%|█████▌    | 1963/3515 [00:00<00:00, 3633.37it/s]

word -> phonemes:  66%|██████▋   | 2330/3515 [00:00<00:00, 3112.16it/s]

word -> phonemes:  76%|███████▌  | 2654/3515 [00:00<00:00, 3068.76it/s]

word -> phonemes:  85%|████████▌ | 3004/3515 [00:00<00:00, 3189.61it/s]

word -> phonemes:  96%|█████████▌| 3357/3515 [00:01<00:00, 3257.78it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3324.50it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:14:42<18:48,  2.33s/it]

train:   0%|          | 1/3515 [00:02<2:30:52,  2.58s/it]
overall:  88%|████████▊ | 3517/4000 [1:14:44<16:19,  2.03s/it]

train:   0%|          | 2/3515 [00:03<1:47:29,  1.84s/it]
overall:  88%|████████▊ | 3518/4000 [1:14:45<14:28,  1.80s/it]

train:   0%|          | 3/3515 [00:05<1:32:29,  1.58s/it]
overall:  88%|████████▊ | 3519/4000 [1:14:46<12:55,  1.61s/it]

train:   0%|          | 4/3515 [00:06<1:22:55,  1.42s/it]
overall:  88%|████████▊ | 3520/4000 [1:14:47<12:03,  1.51s/it]

train:   0%|          | 5/3515 [00:07<1:19:44,  1.36s/it]
overall:  88%|████████▊ | 3521/4000 [1:14:49<11:32,  1.44s/it]

train:   0%|          | 6/3515 [00:08<1:18:24,  1.34s/it]
overall:  88%|████████▊ | 3522/4000 [1:14:50<10:49,  1.36s/it]

train:   0%|          | 7/3515 [00:10<1:14:52,  1.28s/it]
overall:  88%|████████▊ | 3523/4000 [1:14:50<08:38,  1.09s/it]

train:   0%|          | 8/3515 [00:10<59:31,  1.02s/it]  
overall:  88%|████████▊ | 3524/4000 [1:14:52<09:11,  1.16s/it]

train:   0%|          | 9/3515 [00:11<1:05:02,  1.11s/it]
overall:  88%|████████▊ | 3525/4000 [1:14:53<09:07,  1.15s/it]

train:   0%|          | 10/3515 [00:12<1:05:33,  1.12s/it]
overall:  88%|████████▊ | 3526/4000 [1:14:54<09:26,  1.20s/it]

train:   0%|          | 11/3515 [00:14<1:08:36,  1.17s/it]
overall:  88%|████████▊ | 3527/4000 [1:14:55<09:16,  1.18s/it]

train:   0%|          | 12/3515 [00:15<1:07:51,  1.16s/it]
overall:  88%|████████▊ | 3528/4000 [1:14:56<09:34,  1.22s/it]

train:   0%|          | 13/3515 [00:16<1:10:27,  1.21s/it]
overall:  88%|████████▊ | 3529/4000 [1:14:58<09:27,  1.20s/it]

train:   0%|          | 14/3515 [00:17<1:09:50,  1.20s/it]
overall:  88%|████████▊ | 3530/4000 [1:14:59<09:21,  1.20s/it]

train:   0%|          | 15/3515 [00:19<1:09:26,  1.19s/it]
overall:  88%|████████▊ | 3531/4000 [1:15:00<09:23,  1.20s/it]

train:   0%|          | 16/3515 [00:20<1:09:55,  1.20s/it]
overall:  88%|████████▊ | 3532/4000 [1:15:01<09:30,  1.22s/it]

train:   0%|          | 17/3515 [00:21<1:10:59,  1.22s/it]
overall:  88%|████████▊ | 3533/4000 [1:15:02<09:27,  1.22s/it]

train:   1%|          | 18/3515 [00:22<1:10:44,  1.21s/it]
overall:  88%|████████▊ | 3534/4000 [1:15:04<09:28,  1.22s/it]

train:   1%|          | 19/3515 [00:23<1:11:01,  1.22s/it]
overall:  88%|████████▊ | 3535/4000 [1:15:05<09:36,  1.24s/it]

train:   1%|          | 20/3515 [00:25<1:12:13,  1.24s/it]
overall:  88%|████████▊ | 3536/4000 [1:15:06<09:51,  1.28s/it]

train:   1%|          | 21/3515 [00:26<1:14:13,  1.27s/it]
overall:  88%|████████▊ | 3537/4000 [1:15:08<09:51,  1.28s/it]

train:   1%|          | 22/3515 [00:27<1:14:20,  1.28s/it]
overall:  88%|████████▊ | 3538/4000 [1:15:09<09:42,  1.26s/it]

train:   1%|          | 23/3515 [00:29<1:13:22,  1.26s/it]
overall:  88%|████████▊ | 3539/4000 [1:15:10<09:44,  1.27s/it]

train:   1%|          | 24/3515 [00:30<1:13:49,  1.27s/it]
overall:  88%|████████▊ | 3540/4000 [1:15:11<09:53,  1.29s/it]

train:   1%|          | 25/3515 [00:31<1:14:59,  1.29s/it]
overall:  89%|████████▊ | 3541/4000 [1:15:13<09:39,  1.26s/it]

train:   1%|          | 26/3515 [00:32<1:13:25,  1.26s/it]
overall:  89%|████████▊ | 3542/4000 [1:15:14<09:14,  1.21s/it]

train:   1%|          | 27/3515 [00:34<1:10:20,  1.21s/it]
overall:  89%|████████▊ | 3543/4000 [1:15:15<09:15,  1.22s/it]

train:   1%|          | 28/3515 [00:35<1:10:40,  1.22s/it]
overall:  89%|████████▊ | 3544/4000 [1:15:16<09:01,  1.19s/it]

train:   1%|          | 29/3515 [00:36<1:08:57,  1.19s/it]
overall:  89%|████████▊ | 3545/4000 [1:15:17<09:13,  1.22s/it]

train:   1%|          | 30/3515 [00:37<1:10:42,  1.22s/it]
overall:  89%|████████▊ | 3546/4000 [1:15:19<08:59,  1.19s/it]

train:   1%|          | 31/3515 [00:38<1:09:02,  1.19s/it]
overall:  89%|████████▊ | 3547/4000 [1:15:19<07:14,  1.04it/s]

train:   1%|          | 32/3515 [00:39<55:43,  1.04it/s]  
overall:  89%|████████▊ | 3548/4000 [1:15:20<08:06,  1.08s/it]

train:   1%|          | 33/3515 [00:40<1:02:25,  1.08s/it]
overall:  89%|████████▊ | 3549/4000 [1:15:22<08:31,  1.13s/it]

train:   1%|          | 34/3515 [00:41<1:05:47,  1.13s/it]
overall:  89%|████████▉ | 3550/4000 [1:15:23<08:38,  1.15s/it]

train:   1%|          | 35/3515 [00:43<1:06:52,  1.15s/it]
overall:  89%|████████▉ | 3551/4000 [1:15:24<08:37,  1.15s/it]

train:   1%|          | 36/3515 [00:44<1:06:48,  1.15s/it]
overall:  89%|████████▉ | 3552/4000 [1:15:25<08:50,  1.19s/it]

train:   1%|          | 37/3515 [00:45<1:08:42,  1.19s/it]
overall:  89%|████████▉ | 3553/4000 [1:15:26<08:48,  1.18s/it]

train:   1%|          | 38/3515 [00:46<1:08:34,  1.18s/it]
overall:  89%|████████▉ | 3554/4000 [1:15:28<09:01,  1.21s/it]

train:   1%|          | 39/3515 [00:47<1:10:22,  1.21s/it]
overall:  89%|████████▉ | 3555/4000 [1:15:29<09:02,  1.22s/it]

train:   1%|          | 40/3515 [00:49<1:10:37,  1.22s/it]
overall:  89%|████████▉ | 3556/4000 [1:15:30<09:06,  1.23s/it]

train:   1%|          | 41/3515 [00:50<1:11:12,  1.23s/it]
overall:  89%|████████▉ | 3557/4000 [1:15:31<09:03,  1.23s/it]

train:   1%|          | 42/3515 [00:51<1:11:01,  1.23s/it]
overall:  89%|████████▉ | 3558/4000 [1:15:32<08:33,  1.16s/it]

train:   1%|          | 43/3515 [00:52<1:07:11,  1.16s/it]
overall:  89%|████████▉ | 3559/4000 [1:15:34<08:32,  1.16s/it]

train:   1%|▏         | 44/3515 [00:53<1:07:10,  1.16s/it]
overall:  89%|████████▉ | 3560/4000 [1:15:35<08:54,  1.22s/it]

train:   1%|▏         | 45/3515 [00:55<1:10:18,  1.22s/it]
overall:  89%|████████▉ | 3561/4000 [1:15:36<08:53,  1.22s/it]

train:   1%|▏         | 46/3515 [00:56<1:10:16,  1.22s/it]
overall:  89%|████████▉ | 3562/4000 [1:15:37<07:33,  1.03s/it]

train:   1%|▏         | 47/3515 [00:56<59:48,  1.03s/it]  
overall:  89%|████████▉ | 3563/4000 [1:15:38<07:10,  1.01it/s]

train:   1%|▏         | 48/3515 [00:57<56:58,  1.01it/s]
overall:  89%|████████▉ | 3564/4000 [1:15:39<07:57,  1.10s/it]

train:   1%|▏         | 49/3515 [00:59<1:03:17,  1.10s/it]
overall:  89%|████████▉ | 3565/4000 [1:15:40<08:15,  1.14s/it]

train:   1%|▏         | 50/3515 [01:00<1:05:47,  1.14s/it]
overall:  89%|████████▉ | 3566/4000 [1:15:41<08:14,  1.14s/it]

train:   1%|▏         | 51/3515 [01:01<1:05:42,  1.14s/it]
overall:  89%|████████▉ | 3567/4000 [1:15:43<08:31,  1.18s/it]

train:   1%|▏         | 52/3515 [01:02<1:08:07,  1.18s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:44<08:25,  1.17s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:30,  1.17s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:45<08:32,  1.19s/it]

train:   2%|▏         | 54/3515 [01:05<1:08:35,  1.19s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:46<08:23,  1.17s/it]

train:   2%|▏         | 55/3515 [01:06<1:07:29,  1.17s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:47<08:36,  1.20s/it]

train:   2%|▏         | 56/3515 [01:07<1:09:26,  1.20s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:49<08:54,  1.25s/it]

train:   2%|▏         | 57/3515 [01:08<1:12:02,  1.25s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:50<08:59,  1.26s/it]

train:   2%|▏         | 58/3515 [01:10<1:12:51,  1.26s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:51<09:03,  1.28s/it]

train:   2%|▏         | 59/3515 [01:11<1:13:29,  1.28s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:53<09:04,  1.28s/it]

train:   2%|▏         | 60/3515 [01:12<1:13:42,  1.28s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:54<09:06,  1.29s/it]

train:   2%|▏         | 61/3515 [01:14<1:14:15,  1.29s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:55<08:57,  1.27s/it]

train:   2%|▏         | 62/3515 [01:15<1:13:06,  1.27s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:56<08:49,  1.26s/it]

train:   2%|▏         | 63/3515 [01:16<1:12:14,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:58<08:44,  1.25s/it]

train:   2%|▏         | 64/3515 [01:17<1:11:40,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:59<08:39,  1.24s/it]

train:   2%|▏         | 65/3515 [01:19<1:11:10,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:16:00<08:25,  1.21s/it]

train:   2%|▏         | 66/3515 [01:20<1:09:20,  1.21s/it]
overall:  90%|████████▉ | 3582/4000 [1:16:01<08:25,  1.21s/it]

train:   2%|▏         | 67/3515 [01:21<1:09:26,  1.21s/it]
overall:  90%|████████▉ | 3583/4000 [1:16:02<08:35,  1.24s/it]

train:   2%|▏         | 68/3515 [01:22<1:11:03,  1.24s/it]
overall:  90%|████████▉ | 3584/4000 [1:16:04<08:34,  1.24s/it]

train:   2%|▏         | 69/3515 [01:23<1:10:59,  1.24s/it]
overall:  90%|████████▉ | 3585/4000 [1:16:05<07:46,  1.13s/it]

train:   2%|▏         | 70/3515 [01:24<1:04:36,  1.13s/it]
overall:  90%|████████▉ | 3586/4000 [1:16:06<07:42,  1.12s/it]

train:   2%|▏         | 71/3515 [01:25<1:04:03,  1.12s/it]
overall:  90%|████████▉ | 3587/4000 [1:16:07<08:03,  1.17s/it]

train:   2%|▏         | 72/3515 [01:27<1:07:07,  1.17s/it]
overall:  90%|████████▉ | 3588/4000 [1:16:08<08:21,  1.22s/it]

train:   2%|▏         | 73/3515 [01:28<1:09:46,  1.22s/it]
overall:  90%|████████▉ | 3589/4000 [1:16:09<08:22,  1.22s/it]

train:   2%|▏         | 74/3515 [01:29<1:10:07,  1.22s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:11<08:30,  1.24s/it]

train:   2%|▏         | 75/3515 [01:31<1:11:22,  1.24s/it]
overall:  90%|████████▉ | 3591/4000 [1:16:12<08:33,  1.26s/it]

train:   2%|▏         | 76/3515 [01:32<1:11:59,  1.26s/it]
overall:  90%|████████▉ | 3592/4000 [1:16:13<08:27,  1.24s/it]

train:   2%|▏         | 77/3515 [01:33<1:11:16,  1.24s/it]
overall:  90%|████████▉ | 3593/4000 [1:16:15<08:34,  1.26s/it]

train:   2%|▏         | 78/3515 [01:34<1:12:22,  1.26s/it]
overall:  90%|████████▉ | 3594/4000 [1:16:16<08:14,  1.22s/it]

train:   2%|▏         | 79/3515 [01:36<1:09:48,  1.22s/it]
overall:  90%|████████▉ | 3595/4000 [1:16:17<08:02,  1.19s/it]

train:   2%|▏         | 80/3515 [01:37<1:08:15,  1.19s/it]
overall:  90%|████████▉ | 3596/4000 [1:16:18<08:05,  1.20s/it]

train:   2%|▏         | 81/3515 [01:38<1:08:46,  1.20s/it]
overall:  90%|████████▉ | 3597/4000 [1:16:19<08:14,  1.23s/it]

train:   2%|▏         | 82/3515 [01:39<1:10:08,  1.23s/it]
overall:  90%|████████▉ | 3598/4000 [1:16:21<08:21,  1.25s/it]

train:   2%|▏         | 83/3515 [01:40<1:11:21,  1.25s/it]
overall:  90%|████████▉ | 3599/4000 [1:16:22<08:25,  1.26s/it]

train:   2%|▏         | 84/3515 [01:42<1:12:06,  1.26s/it]
overall:  90%|█████████ | 3600/4000 [1:16:23<08:39,  1.30s/it]

train:   2%|▏         | 85/3515 [01:43<1:14:14,  1.30s/it]
overall:  90%|█████████ | 3601/4000 [1:16:25<08:30,  1.28s/it]

train:   2%|▏         | 86/3515 [01:44<1:13:09,  1.28s/it]
overall:  90%|█████████ | 3602/4000 [1:16:26<08:14,  1.24s/it]

train:   2%|▏         | 87/3515 [01:46<1:11:03,  1.24s/it]
overall:  90%|█████████ | 3603/4000 [1:16:27<08:14,  1.25s/it]

train:   3%|▎         | 88/3515 [01:47<1:11:08,  1.25s/it]
overall:  90%|█████████ | 3604/4000 [1:16:28<08:00,  1.21s/it]

train:   3%|▎         | 89/3515 [01:48<1:09:17,  1.21s/it]
overall:  90%|█████████ | 3605/4000 [1:16:29<07:55,  1.20s/it]

train:   3%|▎         | 90/3515 [01:49<1:08:40,  1.20s/it]
overall:  90%|█████████ | 3606/4000 [1:16:30<07:49,  1.19s/it]

train:   3%|▎         | 91/3515 [01:50<1:08:03,  1.19s/it]
overall:  90%|█████████ | 3607/4000 [1:16:32<07:52,  1.20s/it]

train:   3%|▎         | 92/3515 [01:51<1:08:33,  1.20s/it]
overall:  90%|█████████ | 3608/4000 [1:16:33<08:07,  1.24s/it]

train:   3%|▎         | 93/3515 [01:53<1:10:59,  1.24s/it]
overall:  90%|█████████ | 3609/4000 [1:16:33<06:26,  1.01it/s]

train:   3%|▎         | 94/3515 [01:53<56:18,  1.01it/s]  
overall:  90%|█████████ | 3610/4000 [1:16:34<06:23,  1.02it/s]

train:   3%|▎         | 95/3515 [01:54<56:01,  1.02it/s]
overall:  90%|█████████ | 3611/4000 [1:16:36<06:43,  1.04s/it]

train:   3%|▎         | 96/3515 [01:55<59:08,  1.04s/it]
overall:  90%|█████████ | 3612/4000 [1:16:37<07:01,  1.09s/it]

train:   3%|▎         | 97/3515 [01:57<1:01:54,  1.09s/it]
overall:  90%|█████████ | 3613/4000 [1:16:38<07:02,  1.09s/it]

train:   3%|▎         | 98/3515 [01:58<1:02:11,  1.09s/it]
overall:  90%|█████████ | 3614/4000 [1:16:39<07:09,  1.11s/it]

train:   3%|▎         | 99/3515 [01:59<1:03:20,  1.11s/it]
overall:  90%|█████████ | 3615/4000 [1:16:40<07:16,  1.13s/it]

train:   3%|▎         | 100/3515 [02:00<1:04:33,  1.13s/it]
overall:  90%|█████████ | 3616/4000 [1:16:41<07:31,  1.18s/it]

train:   3%|▎         | 101/3515 [02:01<1:06:53,  1.18s/it]
overall:  90%|█████████ | 3617/4000 [1:16:43<07:38,  1.20s/it]

train:   3%|▎         | 102/3515 [02:03<1:08:01,  1.20s/it]
overall:  90%|█████████ | 3618/4000 [1:16:44<07:47,  1.22s/it]

train:   3%|▎         | 103/3515 [02:04<1:09:34,  1.22s/it]
overall:  90%|█████████ | 3619/4000 [1:16:45<06:37,  1.04s/it]

train:   3%|▎         | 104/3515 [02:04<59:18,  1.04s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:45<05:46,  1.10it/s]

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overall:  92%|█████████▏| 3661/4000 [1:17:31<07:07,  1.26s/it]

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overall:  92%|█████████▏| 3662/4000 [1:17:32<05:27,  1.03it/s]

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overall:  92%|█████████▏| 3663/4000 [1:17:32<04:27,  1.26it/s]

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overall:  92%|█████████▏| 3664/4000 [1:17:33<05:11,  1.08it/s]

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overall:  92%|█████████▏| 3672/4000 [1:17:44<06:58,  1.28s/it]

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train:   4%|▍         | 158/3515 [03:05<1:10:45,  1.26s/it]
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overall:  92%|█████████▏| 3675/4000 [1:17:47<06:37,  1.22s/it]

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overall:  92%|█████████▏| 3677/4000 [1:17:49<06:07,  1.14s/it]

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overall:  92%|█████████▏| 3678/4000 [1:17:50<06:05,  1.14s/it]

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overall:  92%|█████████▏| 3679/4000 [1:17:51<05:17,  1.01it/s]

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overall:  92%|█████████▏| 3680/4000 [1:17:52<05:42,  1.07s/it]

train:   5%|▍         | 165/3515 [03:12<59:46,  1.07s/it]
overall:  92%|█████████▏| 3681/4000 [1:17:54<05:58,  1.12s/it]

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train:  14%|█▍        | 484/3515 [09:17<55:42,  1.10s/it]train loss: 10.270760536193848
train per: 0.821002788193443
train loss: 7.72228479385376
train per: 0.6948232142002775
train loss: 5.691102981567383
train per: 0.680012446841614
train loss: 5.502692699432373
train per: 0.6736390708755211
train loss: 5.552718162536621
train per: 0.7032943026913666
train loss: 5.95992374420166
train per: 0.7158191939908904
train loss: 12.045045852661133
train per: 0.8753217119053305
train loss: 10.753134727478027
train per: 0.7398124385388435
train loss: 18.063631057739258
train per: 0.786146848602989
train loss: 14.780505180358887
train per: 0.7664680648236416
train loss: 11.180337905883789
train per: 0.729540319977869
train loss: 9.009346961975098
train per: 0.692008486562942
train loss: 9.223482131958008
train per: 0.682046596619461
train loss: 7.62457275390625
train per: 0.6820292016452987
train loss: 6.912816047668457
train per: 0.7111127545234925
train loss: 5.007482528686523
train per: 0.6456653466291331
train loss: 4.373997688293457
train per: 0.6435550181378477
train loss: 4.62990665435791
train per: 0.6557595915116878
train loss: 7.18148946762085
train per: 0.7593142732550217
train loss: 8.066007614135742
train per: 0.7376173395405632
train loss: 8.490931510925293
train per: 0.7125809921697146
train loss: 7.793201446533203
train per: 0.701689465087791
train loss: 6.6163740158081055
train per: 0.6959842069717908
train loss: 7.759549140930176
train per: 0.7268319367431683
train loss: 8.71953010559082
train per: 0.7185674040066778
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 564/2703 [00:00<00:00, 5636.90it/s]


word -> phonemes:  42%|████▏     | 1128/2703 [00:00<00:00, 5329.49it/s]


word -> phonemes:  64%|██████▍   | 1739/2703 [00:00<00:00, 5673.92it/s]


word -> phonemes:  86%|████████▋ | 2336/2703 [00:00<00:00, 5788.08it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5546.18it/s]



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overall: 100%|█████████▉| 3999/4000 [1:26:49<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:09<55:42,  1.10s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:49<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:09<55:42,  1.10s/it]
overall: 100%|██████████| 4000/4000 [1:26:49<00:00, 52.37s/it]

train:  14%|█▍        | 485/3515 [12:09<44:04:45, 52.37s/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 [12:09<1:15:58,  1.50s/it] 

overall: 100%|██████████| 4000/4000 [1:26:49<00:00,  1.30s/it]
dev loss: 11.708592414855957
dev per: 0.9789646201873049
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt