/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.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1']
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:  11%|█▏        | 403/3515 [00:00<00:00, 4029.27it/s]

word -> phonemes:  26%|██▌       | 912/3515 [00:00<00:00, 4647.51it/s]

word -> phonemes:  41%|████      | 1430/3515 [00:00<00:00, 4889.10it/s]

word -> phonemes:  55%|█████▍    | 1923/3515 [00:00<00:00, 4904.33it/s]

word -> phonemes:  69%|██████▊   | 2416/3515 [00:00<00:00, 4912.12it/s]

word -> phonemes:  83%|████████▎ | 2908/3515 [00:00<00:00, 4689.56it/s]

word -> phonemes:  96%|█████████▌| 3379/3515 [00:00<00:00, 4634.85it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4708.81it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:41:52,  4.23s/it]

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overall:   0%|          | 2/4000 [00:05<2:42:34,  2.44s/it]

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overall:   0%|          | 3/4000 [00:06<2:05:19,  1.88s/it]

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overall:   0%|          | 5/4000 [00:09<1:39:37,  1.50s/it]

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overall:   0%|          | 7/4000 [00:11<1:34:07,  1.41s/it]

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overall:   0%|          | 8/4000 [00:13<1:30:22,  1.36s/it]

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overall:   0%|          | 9/4000 [00:14<1:28:13,  1.33s/it]

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overall:   0%|          | 10/4000 [00:14<1:09:57,  1.05s/it]

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overall:   0%|          | 13/4000 [00:17<1:06:05,  1.01it/s]

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overall:   0%|          | 15/4000 [00:19<1:11:35,  1.08s/it]

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overall:   0%|          | 16/4000 [00:20<1:15:17,  1.13s/it]

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overall:   0%|          | 18/4000 [00:23<1:20:05,  1.21s/it]

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overall:   0%|          | 20/4000 [00:25<1:10:31,  1.06s/it]

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overall:   1%|          | 21/4000 [00:26<1:15:47,  1.14s/it]

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overall:   1%|          | 22/4000 [00:27<1:19:10,  1.19s/it]

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overall:   1%|          | 23/4000 [00:29<1:21:17,  1.23s/it]

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overall:   1%|          | 24/4000 [00:30<1:19:35,  1.20s/it]

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overall:   1%|          | 25/4000 [00:31<1:19:30,  1.20s/it]

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overall:   1%|          | 26/4000 [00:32<1:20:08,  1.21s/it]

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overall:   1%|          | 27/4000 [00:33<1:21:54,  1.24s/it]

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overall:   1%|          | 28/4000 [00:35<1:20:56,  1.22s/it]

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overall:   1%|          | 29/4000 [00:36<1:20:51,  1.22s/it]

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overall:   1%|          | 30/4000 [00:37<1:22:39,  1.25s/it]

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overall:   1%|          | 31/4000 [00:39<1:25:58,  1.30s/it]

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overall:   1%|          | 32/4000 [00:40<1:25:25,  1.29s/it]

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overall:   1%|          | 33/4000 [00:41<1:25:10,  1.29s/it]

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overall:   1%|          | 34/4000 [00:41<1:05:10,  1.01it/s]

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overall:   1%|          | 35/4000 [00:43<1:11:38,  1.08s/it]

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overall:   1%|          | 36/4000 [00:44<1:16:07,  1.15s/it]

train:   1%|          | 36/3515 [00:42<1:06:48,  1.15s/it]
overall:   1%|          | 37/4000 [00:45<1:16:30,  1.16s/it]

train:   1%|          | 37/3515 [00:43<1:07:08,  1.16s/it]
overall:   1%|          | 38/4000 [00:46<1:17:39,  1.18s/it]

train:   1%|          | 38/3515 [00:45<1:08:09,  1.18s/it]
overall:   1%|          | 39/4000 [00:48<1:16:23,  1.16s/it]

train:   1%|          | 39/3515 [00:46<1:07:02,  1.16s/it]
overall:   1%|          | 40/4000 [00:48<1:08:52,  1.04s/it]

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overall:   1%|          | 41/4000 [00:50<1:12:13,  1.09s/it]

train:   1%|          | 41/3515 [00:48<1:03:22,  1.09s/it]
overall:   1%|          | 42/4000 [00:51<1:16:18,  1.16s/it]

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overall:   1%|          | 43/4000 [00:52<1:17:12,  1.17s/it]

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overall:   1%|          | 45/4000 [00:54<1:07:06,  1.02s/it]

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overall:   1%|          | 46/4000 [00:54<55:48,  1.18it/s]  

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overall:   1%|          | 47/4000 [00:56<1:03:22,  1.04it/s]

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overall:   1%|          | 48/4000 [00:57<1:04:49,  1.02it/s]

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overall:   1%|▏         | 50/4000 [00:59<1:12:42,  1.10s/it]

train:   1%|▏         | 50/3515 [00:57<1:03:47,  1.10s/it]
overall:   1%|▏         | 51/4000 [01:00<1:13:36,  1.12s/it]

train:   1%|▏         | 51/3515 [00:58<1:04:34,  1.12s/it]
overall:   1%|▏         | 52/4000 [01:02<1:17:11,  1.17s/it]

train:   1%|▏         | 52/3515 [01:00<1:07:42,  1.17s/it]
overall:   1%|▏         | 53/4000 [01:03<1:18:28,  1.19s/it]

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overall:   1%|▏         | 55/4000 [01:05<1:22:14,  1.25s/it]

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overall:   1%|▏         | 56/4000 [01:07<1:22:09,  1.25s/it]

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overall:   1%|▏         | 58/4000 [01:09<1:24:45,  1.29s/it]

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overall:   2%|▏         | 60/4000 [01:12<1:22:25,  1.26s/it]

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overall:   2%|▏         | 61/4000 [01:13<1:20:19,  1.22s/it]

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overall:   2%|▏         | 65/4000 [01:17<1:16:59,  1.17s/it]

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overall:   2%|▏         | 66/4000 [01:19<1:19:22,  1.21s/it]

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overall:   2%|▏         | 70/4000 [01:23<1:08:55,  1.05s/it]

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overall:   9%|▉         | 368/4000 [07:16<1:01:57,  1.02s/it]

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overall:   9%|▉         | 373/4000 [07:22<1:12:33,  1.20s/it]

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overall:  10%|▉         | 390/4000 [07:42<56:39,  1.06it/s]  

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overall:  10%|█         | 400/4000 [07:54<1:13:34,  1.23s/it]

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overall:  10%|█         | 403/4000 [07:58<1:09:09,  1.15s/it]

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overall:  10%|█         | 404/4000 [07:59<1:11:35,  1.19s/it]

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overall:  10%|█         | 406/4000 [08:01<1:06:20,  1.11s/it]

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overall:  10%|█         | 407/4000 [08:02<1:07:47,  1.13s/it]

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overall:  10%|█         | 408/4000 [08:04<1:10:16,  1.17s/it]

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overall:  10%|█         | 409/4000 [08:05<1:10:19,  1.17s/it]

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overall:  10%|█         | 410/4000 [08:06<1:07:59,  1.14s/it]

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overall:  10%|█         | 417/4000 [08:14<1:15:50,  1.27s/it]

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overall:  10%|█         | 418/4000 [08:15<1:10:55,  1.19s/it]

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overall:  11%|█         | 421/4000 [08:19<1:16:59,  1.29s/it]

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overall:  11%|█         | 426/4000 [08:25<59:37,  1.00s/it]  

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overall:  11%|█         | 427/4000 [08:26<1:05:35,  1.10s/it]

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overall:  11%|█         | 428/4000 [08:27<1:08:43,  1.15s/it]

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overall:  11%|█         | 429/4000 [08:29<1:09:21,  1.17s/it]

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overall:  11%|█         | 431/4000 [08:30<51:45,  1.15it/s]  

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overall:  11%|█         | 432/4000 [08:31<59:09,  1.01it/s]

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overall:  11%|█▏        | 452/4000 [08:55<1:08:49,  1.16s/it]

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overall:  11%|█▏        | 454/4000 [08:56<1:01:47,  1.05s/it]

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overall:  12%|█▏        | 492/4000 [09:40<55:29,  1.05it/s]  

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overall:  14%|█▎        | 540/4000 [10:36<55:07,  1.05it/s]  

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overall:  14%|█▎        | 545/4000 [10:42<1:10:03,  1.22s/it]

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overall:  14%|█▎        | 548/4000 [10:46<1:10:56,  1.23s/it]

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overall:  14%|█▍        | 550/4000 [10:49<1:13:36,  1.28s/it]

train:  16%|█▌        | 550/3515 [10:47<1:03:15,  1.28s/it]
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train:  16%|█▌        | 552/3515 [10:49<55:34,  1.13s/it]  
overall:  14%|█▍        | 553/4000 [10:52<1:06:37,  1.16s/it]

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overall:  14%|█▍        | 555/4000 [10:54<55:12,  1.04it/s]  

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overall:  14%|█▍        | 558/4000 [10:58<1:07:42,  1.18s/it]

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overall:  14%|█▍        | 561/4000 [11:01<1:08:59,  1.20s/it]

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overall:  14%|█▍        | 562/4000 [11:02<1:04:27,  1.12s/it]

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overall:  14%|█▍        | 563/4000 [11:04<1:07:12,  1.17s/it]

train:  16%|█▌        | 563/3515 [11:02<57:43,  1.17s/it]
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overall:  14%|█▍        | 565/4000 [11:05<57:05,  1.00it/s]  

train:  16%|█▌        | 565/3515 [11:04<49:01,  1.00it/s]  
overall:  14%|█▍        | 566/4000 [11:07<1:02:32,  1.09s/it]

train:  16%|█▌        | 566/3515 [11:05<53:42,  1.09s/it]
overall:  14%|█▍        | 567/4000 [11:08<1:05:48,  1.15s/it]

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overall:  14%|█▍        | 568/4000 [11:08<51:02,  1.12it/s]  

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overall:  14%|█▍        | 569/4000 [11:10<57:50,  1.01s/it]

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overall:  14%|█▍        | 570/4000 [11:11<1:03:05,  1.10s/it]

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overall:  14%|█▍        | 571/4000 [11:12<1:07:36,  1.18s/it]

train:  16%|█▌        | 571/3515 [11:11<58:03,  1.18s/it]
overall:  14%|█▍        | 572/4000 [11:14<1:09:28,  1.22s/it]

train:  16%|█▋        | 572/3515 [11:12<59:38,  1.22s/it]
overall:  14%|█▍        | 573/4000 [11:15<1:12:10,  1.26s/it]

train:  16%|█▋        | 573/3515 [11:13<1:01:57,  1.26s/it]
overall:  14%|█▍        | 574/4000 [11:16<1:12:19,  1.27s/it]

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overall:  14%|█▍        | 575/4000 [11:18<1:13:49,  1.29s/it]

train:  16%|█▋        | 575/3515 [11:16<1:03:22,  1.29s/it]
overall:  14%|█▍        | 576/4000 [11:19<1:13:56,  1.30s/it]

train:  16%|█▋        | 576/3515 [11:17<1:03:28,  1.30s/it]
overall:  14%|█▍        | 577/4000 [11:20<1:13:00,  1.28s/it]

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overall:  14%|█▍        | 578/4000 [11:21<1:12:59,  1.28s/it]

train:  16%|█▋        | 578/3515 [11:20<1:02:39,  1.28s/it]
overall:  14%|█▍        | 579/4000 [11:22<1:02:32,  1.10s/it]

train:  16%|█▋        | 579/3515 [11:20<53:40,  1.10s/it]  
overall:  14%|█▍        | 580/4000 [11:23<1:05:25,  1.15s/it]

train:  17%|█▋        | 580/3515 [11:22<56:09,  1.15s/it]
overall:  15%|█▍        | 581/4000 [11:25<1:05:05,  1.14s/it]

train:  17%|█▋        | 581/3515 [11:23<55:51,  1.14s/it]
overall:  15%|█▍        | 582/4000 [11:26<1:05:56,  1.16s/it]

train:  17%|█▋        | 582/3515 [11:24<56:35,  1.16s/it]
overall:  15%|█▍        | 583/4000 [11:27<1:11:51,  1.26s/it]

train:  17%|█▋        | 583/3515 [11:25<1:01:39,  1.26s/it]
overall:  15%|█▍        | 584/4000 [11:28<1:09:09,  1.21s/it]

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overall:  15%|█▍        | 585/4000 [11:30<1:10:44,  1.24s/it]

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overall:  15%|█▍        | 586/4000 [11:31<1:12:45,  1.28s/it]

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overall:  15%|█▍        | 587/4000 [11:32<1:14:09,  1.30s/it]

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overall:  15%|█▍        | 588/4000 [11:34<1:13:55,  1.30s/it]

train:  17%|█▋        | 588/3515 [11:32<1:03:25,  1.30s/it]
overall:  15%|█▍        | 589/4000 [11:35<1:11:55,  1.27s/it]

train:  17%|█▋        | 589/3515 [11:33<1:01:41,  1.27s/it]
overall:  15%|█▍        | 590/4000 [11:35<1:01:49,  1.09s/it]

train:  17%|█▋        | 590/3515 [11:34<53:01,  1.09s/it]  
overall:  15%|█▍        | 591/4000 [11:37<1:06:32,  1.17s/it]

train:  17%|█▋        | 591/3515 [11:35<57:04,  1.17s/it]
overall:  15%|█▍        | 592/4000 [11:38<1:08:46,  1.21s/it]

train:  17%|█▋        | 592/3515 [11:36<58:59,  1.21s/it]
overall:  15%|█▍        | 593/4000 [11:39<1:08:08,  1.20s/it]

train:  17%|█▋        | 593/3515 [11:38<58:26,  1.20s/it]
overall:  15%|█▍        | 594/4000 [11:41<1:09:37,  1.23s/it]

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overall:  15%|█▍        | 595/4000 [11:42<1:10:15,  1.24s/it]

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overall:  15%|█▍        | 596/4000 [11:43<1:10:59,  1.25s/it]

train:  17%|█▋        | 596/3515 [11:41<1:00:52,  1.25s/it]
overall:  15%|█▍        | 597/4000 [11:44<1:01:24,  1.08s/it]

train:  17%|█▋        | 597/3515 [11:42<52:39,  1.08s/it]  
overall:  15%|█▍        | 598/4000 [11:45<1:05:09,  1.15s/it]

train:  17%|█▋        | 598/3515 [11:43<55:52,  1.15s/it]
overall:  15%|█▍        | 599/4000 [11:46<1:05:47,  1.16s/it]

train:  17%|█▋        | 599/3515 [11:45<56:24,  1.16s/it]
overall:  15%|█▌        | 600/4000 [11:47<1:02:44,  1.11s/it]

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overall:  15%|█▌        | 601/4000 [11:48<1:00:41,  1.07s/it]

train:  17%|█▋        | 601/3515 [11:47<52:02,  1.07s/it]
overall:  15%|█▌        | 602/4000 [11:50<1:03:56,  1.13s/it]

train:  17%|█▋        | 602/3515 [11:48<54:48,  1.13s/it]
overall:  15%|█▌        | 603/4000 [11:51<1:06:41,  1.18s/it]

train:  17%|█▋        | 603/3515 [11:49<57:09,  1.18s/it]
overall:  15%|█▌        | 604/4000 [11:52<1:07:42,  1.20s/it]

train:  17%|█▋        | 604/3515 [11:50<58:02,  1.20s/it]
overall:  15%|█▌        | 605/4000 [11:53<1:10:48,  1.25s/it]

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overall:  15%|█▌        | 606/4000 [11:55<1:08:24,  1.21s/it]

train:  17%|█▋        | 606/3515 [11:53<58:37,  1.21s/it]  
overall:  15%|█▌        | 607/4000 [11:56<1:06:02,  1.17s/it]

train:  17%|█▋        | 607/3515 [11:54<56:36,  1.17s/it]
overall:  15%|█▌        | 608/4000 [11:57<1:08:07,  1.21s/it]

train:  17%|█▋        | 608/3515 [11:55<58:23,  1.21s/it]
overall:  15%|█▌        | 609/4000 [11:58<1:08:10,  1.21s/it]

train:  17%|█▋        | 609/3515 [11:56<58:25,  1.21s/it]
overall:  15%|█▌        | 610/4000 [11:59<1:09:44,  1.23s/it]

train:  17%|█▋        | 610/3515 [11:58<59:45,  1.23s/it]
overall:  15%|█▌        | 611/4000 [12:00<56:48,  1.01s/it]  

train:  17%|█▋        | 611/3515 [11:58<48:40,  1.01s/it]
overall:  15%|█▌        | 612/4000 [12:01<50:56,  1.11it/s]

train:  17%|█▋        | 612/3515 [11:59<43:39,  1.11it/s]
overall:  15%|█▌        | 613/4000 [12:02<57:23,  1.02s/it]

train:  17%|█▋        | 613/3515 [12:00<49:10,  1.02s/it]
overall:  15%|█▌        | 614/4000 [12:03<1:03:07,  1.12s/it]

train:  17%|█▋        | 614/3515 [12:01<54:05,  1.12s/it]
overall:  15%|█▌        | 615/4000 [12:05<1:06:06,  1.17s/it]

train:  17%|█▋        | 615/3515 [12:03<56:38,  1.17s/it]
overall:  15%|█▌        | 616/4000 [12:06<1:06:28,  1.18s/it]

train:  18%|█▊        | 616/3515 [12:04<56:56,  1.18s/it]
overall:  15%|█▌        | 617/4000 [12:07<1:09:28,  1.23s/it]

train:  18%|█▊        | 617/3515 [12:05<59:31,  1.23s/it]
overall:  15%|█▌        | 618/4000 [12:09<1:16:05,  1.35s/it]

train:  18%|█▊        | 618/3515 [12:07<1:05:10,  1.35s/it]
overall:  15%|█▌        | 619/4000 [12:10<1:14:08,  1.32s/it]

train:  18%|█▊        | 619/3515 [12:08<1:03:30,  1.32s/it]
overall:  16%|█▌        | 620/4000 [12:11<1:13:49,  1.31s/it]

train:  18%|█▊        | 620/3515 [12:09<1:03:14,  1.31s/it]
overall:  16%|█▌        | 621/4000 [12:13<1:13:41,  1.31s/it]

train:  18%|█▊        | 621/3515 [12:11<1:03:06,  1.31s/it]
overall:  16%|█▌        | 622/4000 [12:14<1:12:49,  1.29s/it]

train:  18%|█▊        | 622/3515 [12:12<1:02:22,  1.29s/it]
overall:  16%|█▌        | 623/4000 [12:15<1:13:16,  1.30s/it]

train:  18%|█▊        | 623/3515 [12:13<1:02:44,  1.30s/it]
overall:  16%|█▌        | 624/4000 [12:16<1:13:11,  1.30s/it]

train:  18%|█▊        | 624/3515 [12:15<1:02:40,  1.30s/it]
overall:  16%|█▌        | 625/4000 [12:18<1:11:13,  1.27s/it]

train:  18%|█▊        | 625/3515 [12:16<1:00:59,  1.27s/it]
overall:  16%|█▌        | 626/4000 [12:19<1:10:49,  1.26s/it]

train:  18%|█▊        | 626/3515 [12:17<1:00:38,  1.26s/it]
overall:  16%|█▌        | 627/4000 [12:20<1:10:54,  1.26s/it]

train:  18%|█▊        | 627/3515 [12:18<1:00:42,  1.26s/it]
overall:  16%|█▌        | 628/4000 [12:21<1:11:23,  1.27s/it]

train:  18%|█▊        | 628/3515 [12:20<1:01:07,  1.27s/it]
overall:  16%|█▌        | 629/4000 [12:23<1:12:01,  1.28s/it]

train:  18%|█▊        | 629/3515 [12:21<1:01:40,  1.28s/it]
overall:  16%|█▌        | 630/4000 [12:24<1:07:37,  1.20s/it]

train:  18%|█▊        | 630/3515 [12:22<57:53,  1.20s/it]  
overall:  16%|█▌        | 631/4000 [12:25<1:07:34,  1.20s/it]

train:  18%|█▊        | 631/3515 [12:23<57:51,  1.20s/it]
overall:  16%|█▌        | 632/4000 [12:26<1:08:14,  1.22s/it]

train:  18%|█▊        | 632/3515 [12:24<58:24,  1.22s/it]
overall:  16%|█▌        | 633/4000 [12:28<1:10:35,  1.26s/it]

train:  18%|█▊        | 633/3515 [12:26<1:00:25,  1.26s/it]
overall:  16%|█▌        | 634/4000 [12:29<1:11:58,  1.28s/it]

train:  18%|█▊        | 634/3515 [12:27<1:01:36,  1.28s/it]
overall:  16%|█▌        | 635/4000 [12:29<57:39,  1.03s/it]  

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overall:  16%|█▌        | 636/4000 [12:30<59:36,  1.06s/it]

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overall:  16%|█▌        | 637/4000 [12:32<1:03:45,  1.14s/it]

train:  18%|█▊        | 637/3515 [12:30<54:33,  1.14s/it]
overall:  16%|█▌        | 638/4000 [12:32<51:10,  1.09it/s]  

train:  18%|█▊        | 638/3515 [12:30<43:47,  1.09it/s]
overall:  16%|█▌        | 639/4000 [12:34<58:39,  1.05s/it]

train:  18%|█▊        | 639/3515 [12:32<50:11,  1.05s/it]
overall:  16%|█▌        | 640/4000 [12:35<58:56,  1.05s/it]

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overall:  16%|█▌        | 641/4000 [12:36<1:02:24,  1.11s/it]

train:  18%|█▊        | 641/3515 [12:34<53:23,  1.11s/it]
overall:  16%|█▌        | 642/4000 [12:37<1:08:31,  1.22s/it]

train:  18%|█▊        | 642/3515 [12:36<58:37,  1.22s/it]
overall:  16%|█▌        | 643/4000 [12:39<1:10:36,  1.26s/it]

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overall:  16%|█▌        | 644/4000 [12:40<1:10:26,  1.26s/it]

train:  18%|█▊        | 644/3515 [12:38<1:00:15,  1.26s/it]
overall:  16%|█▌        | 645/4000 [12:41<1:00:43,  1.09s/it]

train:  18%|█▊        | 645/3515 [12:39<51:56,  1.09s/it]  
overall:  16%|█▌        | 646/4000 [12:42<1:04:15,  1.15s/it]

train:  18%|█▊        | 646/3515 [12:40<54:57,  1.15s/it]
overall:  16%|█▌        | 647/4000 [12:43<1:03:38,  1.14s/it]

train:  18%|█▊        | 647/3515 [12:41<54:26,  1.14s/it]
overall:  16%|█▌        | 648/4000 [12:44<1:05:33,  1.17s/it]

train:  18%|█▊        | 648/3515 [12:42<56:04,  1.17s/it]
overall:  16%|█▌        | 649/4000 [12:46<1:07:29,  1.21s/it]

train:  18%|█▊        | 649/3515 [12:44<57:43,  1.21s/it]
overall:  16%|█▋        | 650/4000 [12:47<1:05:02,  1.17s/it]

train:  18%|█▊        | 650/3515 [12:45<55:37,  1.17s/it]
overall:  16%|█▋        | 651/4000 [12:48<1:08:01,  1.22s/it]

train:  19%|█▊        | 651/3515 [12:46<58:10,  1.22s/it]
overall:  16%|█▋        | 652/4000 [12:49<1:10:17,  1.26s/it]

train:  19%|█▊        | 652/3515 [12:48<1:00:06,  1.26s/it]
overall:  16%|█▋        | 653/4000 [12:51<1:11:26,  1.28s/it]

train:  19%|█▊        | 653/3515 [12:49<1:01:05,  1.28s/it]
overall:  16%|█▋        | 654/4000 [12:52<1:11:45,  1.29s/it]

train:  19%|█▊        | 654/3515 [12:50<1:01:21,  1.29s/it]
overall:  16%|█▋        | 655/4000 [12:53<1:06:37,  1.20s/it]

train:  19%|█▊        | 655/3515 [12:51<56:57,  1.20s/it]  
overall:  16%|█▋        | 656/4000 [12:54<1:08:10,  1.22s/it]

train:  19%|█▊        | 656/3515 [12:52<58:17,  1.22s/it]
overall:  16%|█▋        | 657/4000 [12:55<1:07:46,  1.22s/it]

train:  19%|█▊        | 657/3515 [12:54<57:56,  1.22s/it]
overall:  16%|█▋        | 658/4000 [12:57<1:06:04,  1.19s/it]

train:  19%|█▊        | 658/3515 [12:55<56:29,  1.19s/it]
overall:  16%|█▋        | 659/4000 [12:57<56:23,  1.01s/it]  

train:  19%|█▊        | 659/3515 [12:55<48:12,  1.01s/it]
overall:  16%|█▋        | 660/4000 [12:59<1:02:22,  1.12s/it]

train:  19%|█▉        | 660/3515 [12:57<53:19,  1.12s/it]
overall:  17%|█▋        | 661/4000 [13:00<1:05:59,  1.19s/it]

train:  19%|█▉        | 661/3515 [12:58<56:24,  1.19s/it]
overall:  17%|█▋        | 662/4000 [13:01<1:04:43,  1.16s/it]

train:  19%|█▉        | 662/3515 [12:59<55:19,  1.16s/it]
overall:  17%|█▋        | 663/4000 [13:02<1:05:13,  1.17s/it]

train:  19%|█▉        | 663/3515 [13:00<55:44,  1.17s/it]
overall:  17%|█▋        | 664/4000 [13:03<1:05:21,  1.18s/it]

train:  19%|█▉        | 664/3515 [13:02<55:51,  1.18s/it]
overall:  17%|█▋        | 665/4000 [13:05<1:07:28,  1.21s/it]

train:  19%|█▉        | 665/3515 [13:03<57:39,  1.21s/it]
overall:  17%|█▋        | 666/4000 [13:06<1:13:39,  1.33s/it]

train:  19%|█▉        | 666/3515 [13:04<1:02:56,  1.33s/it]
overall:  17%|█▋        | 667/4000 [13:07<1:09:05,  1.24s/it]

train:  19%|█▉        | 667/3515 [13:06<59:01,  1.24s/it]  
overall:  17%|█▋        | 668/4000 [13:09<1:08:55,  1.24s/it]

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overall:  17%|█▋        | 669/4000 [13:10<1:05:02,  1.17s/it]

train:  19%|█▉        | 669/3515 [13:08<55:33,  1.17s/it]
overall:  17%|█▋        | 670/4000 [13:10<55:42,  1.00s/it]  

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overall:  17%|█▋        | 671/4000 [13:11<50:17,  1.10it/s]

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overall:  17%|█▋        | 672/4000 [13:12<55:04,  1.01it/s]

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overall:  17%|█▋        | 673/4000 [13:13<1:00:41,  1.09s/it]

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overall:  17%|█▋        | 674/4000 [13:14<47:38,  1.16it/s]  

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overall:  17%|█▋        | 675/4000 [13:15<54:37,  1.01it/s]

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overall:  17%|█▋        | 676/4000 [13:16<59:20,  1.07s/it]

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overall:  17%|█▋        | 677/4000 [13:18<1:03:54,  1.15s/it]

train:  19%|█▉        | 677/3515 [13:16<54:34,  1.15s/it]
overall:  17%|█▋        | 678/4000 [13:19<1:06:01,  1.19s/it]

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overall:  17%|█▋        | 679/4000 [13:20<1:08:43,  1.24s/it]

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overall:  17%|█▋        | 680/4000 [13:22<1:10:36,  1.28s/it]

train:  19%|█▉        | 680/3515 [13:20<1:00:18,  1.28s/it]
overall:  17%|█▋        | 681/4000 [13:23<1:11:01,  1.28s/it]

train:  19%|█▉        | 681/3515 [13:21<1:00:38,  1.28s/it]
overall:  17%|█▋        | 682/4000 [13:24<1:11:11,  1.29s/it]

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overall:  17%|█▋        | 683/4000 [13:25<1:11:27,  1.29s/it]

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overall:  17%|█▋        | 687/4000 [13:29<51:50,  1.07it/s]  

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train:  28%|██▊       | 994/3515 [19:32<42:58,  1.02s/it]
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train:  28%|██▊       | 995/3515 [19:33<47:02,  1.12s/it]
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train:  28%|██▊       | 997/3515 [19:36<51:11,  1.22s/it]
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train:  28%|██▊       | 998/3515 [19:37<51:02,  1.22s/it]
overall:  25%|██▍       | 999/4000 [19:40<1:02:35,  1.25s/it]

train:  28%|██▊       | 999/3515 [19:38<52:28,  1.25s/it]train loss: 274.80474853515625
train per: 1.1324018464287486
train loss: 147.40011596679688
train per: 1.01010427814141
train loss: 85.47135925292969
train per: 1.1015985790408527
train loss: 38.861602783203125
train per: 0.9257900254605361
train loss: 28.455196380615234
train per: 0.9278623278532824
train loss: 22.876420974731445
train per: 0.946257697773567
train loss: 32.95207977294922
train per: 0.9682618398214728
train loss: 22.895822525024414
train per: 0.9152160830900217
train loss: 18.322086334228516
train per: 0.9448617311639126
train loss: 19.326309204101562
train per: 0.9604355716878403
train loss: 29.36911392211914
train per: 1.0479887745556595
train loss: 18.929931640625
train per: 0.9381448462386056
train loss: 14.399694442749023
train per: 0.9676578390377368
train loss: 18.318313598632812
train per: 0.9672921248420757
train loss: 14.809236526489258
train per: 0.9251271217666855
train loss: 22.321460723876953
train per: 0.919734651267278
train loss: 26.405527114868164
train per: 0.9379877662940308
train loss: 21.983613967895508
train per: 0.9120181979021863
train loss: 16.129802703857422
train per: 0.8994001276324186
train loss: 16.515676498413086
train per: 0.9088028254190957
train loss: 16.825551986694336
train per: 0.8810119681839582
train loss: 27.31692886352539
train per: 0.9143851320367923
train loss: 28.834814071655273
train per: 0.9160856953844588
train loss: 23.362346649169922
train per: 1.0035198873636044
train loss: 22.702978134155273
train per: 0.9089954865120184
train loss: 18.502561569213867
train per: 0.8811568430165898
train loss: 20.12324333190918
train per: 0.899581293023916
train loss: 18.901378631591797
train per: 0.9016057896147567
train loss: 23.716245651245117
train per: 0.9334364540014201
train loss: 19.22941017150879
train per: 0.9055056912199769
train loss: 20.309635162353516
train per: 0.894008400384596
train loss: 22.823041915893555
train per: 0.9115782115931899
train loss: 24.854124069213867
train per: 0.899742803442477
train loss: 23.10683822631836
train per: 0.9057341442224153
train loss: 19.721296310424805
train per: 0.9302810559742168
train loss: 22.313932418823242
train per: 1.0221746089111468
train loss: 17.27687644958496
train per: 0.923548345564568
train loss: 19.038921356201172
train per: 0.8871026104936676
train loss: 21.11101722717285
train per: 0.9580701318080079
train loss: 17.836318969726562
train per: 0.8886764237209188
train loss: 23.068195343017578
train per: 0.9202959881991633
train loss: 18.576047897338867
train per: 0.8889881838943501
train loss: 16.041339874267578
train per: 0.9582943706751449
train loss: 14.679838180541992
train per: 0.9205212793336609
train loss: 11.200837135314941
train per: 0.901178361006963
train loss: 11.799388885498047
train per: 0.9290461825227478
train loss: 12.650320053100586
train per: 0.9524197011821613
train loss: 11.54859447479248
train per: 0.8948681952893465
train loss: 12.464692115783691
train per: 0.9042688795816967
train loss: 10.980645179748535
train per: 0.8429720686300102
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 492/2703 [00:00<00:00, 4919.35it/s]


word -> phonemes:  38%|███▊      | 1035/2703 [00:00<00:00, 5216.95it/s]


word -> phonemes:  60%|██████    | 1629/2703 [00:00<00:00, 5544.00it/s]


word -> phonemes:  82%|████████▏ | 2209/2703 [00:00<00:00, 5642.60it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5170.60it/s]



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


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dev:   0%|          | 7/2703 [00:02<11:18,  3.97it/s]


dev:   0%|          | 8/2703 [00:02<10:30,  4.27it/s]


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overall:  48%|████▊     | 1910/4000 [40:18<41:45,  1.20s/it]

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overall:  48%|████▊     | 1911/4000 [40:18<35:07,  1.01s/it]

train:  54%|█████▍    | 1911/3515 [40:16<26:58,  1.01s/it]
overall:  48%|████▊     | 1912/4000 [40:20<39:10,  1.13s/it]

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overall:  48%|████▊     | 1913/4000 [40:21<39:52,  1.15s/it]

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overall:  48%|████▊     | 1914/4000 [40:22<38:55,  1.12s/it]

train:  54%|█████▍    | 1914/3515 [40:20<29:52,  1.12s/it]
overall:  48%|████▊     | 1915/4000 [40:23<37:39,  1.08s/it]

train:  54%|█████▍    | 1915/3515 [40:21<28:53,  1.08s/it]
overall:  48%|████▊     | 1916/4000 [40:23<29:32,  1.18it/s]

train:  55%|█████▍    | 1916/3515 [40:21<22:40,  1.18it/s]
overall:  48%|████▊     | 1917/4000 [40:24<33:55,  1.02it/s]

train:  55%|█████▍    | 1917/3515 [40:23<26:01,  1.02it/s]
overall:  48%|████▊     | 1918/4000 [40:26<37:02,  1.07s/it]

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overall:  48%|████▊     | 1919/4000 [40:27<38:47,  1.12s/it]

train:  55%|█████▍    | 1919/3515 [40:25<29:45,  1.12s/it]
overall:  48%|████▊     | 1920/4000 [40:28<40:10,  1.16s/it]

train:  55%|█████▍    | 1920/3515 [40:26<30:48,  1.16s/it]
overall:  48%|████▊     | 1921/4000 [40:30<41:18,  1.19s/it]

train:  55%|█████▍    | 1921/3515 [40:28<31:40,  1.19s/it]
overall:  48%|████▊     | 1922/4000 [40:31<41:39,  1.20s/it]

train:  55%|█████▍    | 1922/3515 [40:29<31:55,  1.20s/it]
overall:  48%|████▊     | 1923/4000 [40:32<42:59,  1.24s/it]

train:  55%|█████▍    | 1923/3515 [40:30<32:57,  1.24s/it]
overall:  48%|████▊     | 1924/4000 [40:33<43:11,  1.25s/it]

train:  55%|█████▍    | 1924/3515 [40:32<33:06,  1.25s/it]
overall:  48%|████▊     | 1925/4000 [40:35<44:07,  1.28s/it]

train:  55%|█████▍    | 1925/3515 [40:33<33:48,  1.28s/it]
overall:  48%|████▊     | 1926/4000 [40:36<44:26,  1.29s/it]

train:  55%|█████▍    | 1926/3515 [40:34<34:03,  1.29s/it]
overall:  48%|████▊     | 1927/4000 [40:36<34:15,  1.01it/s]

train:  55%|█████▍    | 1927/3515 [40:34<26:14,  1.01it/s]
overall:  48%|████▊     | 1928/4000 [40:38<37:25,  1.08s/it]

train:  55%|█████▍    | 1928/3515 [40:36<28:39,  1.08s/it]
overall:  48%|████▊     | 1929/4000 [40:39<38:31,  1.12s/it]

train:  55%|█████▍    | 1929/3515 [40:37<29:29,  1.12s/it]
overall:  48%|████▊     | 1930/4000 [40:40<39:56,  1.16s/it]

train:  55%|█████▍    | 1930/3515 [40:38<30:35,  1.16s/it]
overall:  48%|████▊     | 1931/4000 [40:41<40:40,  1.18s/it]

train:  55%|█████▍    | 1931/3515 [40:39<31:08,  1.18s/it]
overall:  48%|████▊     | 1932/4000 [40:43<41:40,  1.21s/it]

train:  55%|█████▍    | 1932/3515 [40:41<31:53,  1.21s/it]
overall:  48%|████▊     | 1933/4000 [40:44<41:11,  1.20s/it]

train:  55%|█████▍    | 1933/3515 [40:42<31:31,  1.20s/it]
overall:  48%|████▊     | 1934/4000 [40:45<41:50,  1.22s/it]

train:  55%|█████▌    | 1934/3515 [40:43<32:01,  1.22s/it]
overall:  48%|████▊     | 1935/4000 [40:46<43:08,  1.25s/it]

train:  55%|█████▌    | 1935/3515 [40:44<33:00,  1.25s/it]
overall:  48%|████▊     | 1936/4000 [40:48<45:26,  1.32s/it]

train:  55%|█████▌    | 1936/3515 [40:46<34:45,  1.32s/it]
overall:  48%|████▊     | 1937/4000 [40:49<44:39,  1.30s/it]

train:  55%|█████▌    | 1937/3515 [40:47<34:09,  1.30s/it]
overall:  48%|████▊     | 1938/4000 [40:50<45:03,  1.31s/it]

train:  55%|█████▌    | 1938/3515 [40:49<34:27,  1.31s/it]
overall:  48%|████▊     | 1939/4000 [40:52<44:24,  1.29s/it]

train:  55%|█████▌    | 1939/3515 [40:50<33:57,  1.29s/it]
overall:  48%|████▊     | 1940/4000 [40:53<42:41,  1.24s/it]

train:  55%|█████▌    | 1940/3515 [40:51<32:38,  1.24s/it]
overall:  49%|████▊     | 1941/4000 [40:54<42:32,  1.24s/it]

train:  55%|█████▌    | 1941/3515 [40:52<32:31,  1.24s/it]
overall:  49%|████▊     | 1942/4000 [40:55<42:54,  1.25s/it]

train:  55%|█████▌    | 1942/3515 [40:53<32:48,  1.25s/it]
overall:  49%|████▊     | 1943/4000 [40:57<42:50,  1.25s/it]

train:  55%|█████▌    | 1943/3515 [40:55<32:44,  1.25s/it]
overall:  49%|████▊     | 1944/4000 [40:58<42:13,  1.23s/it]

train:  55%|█████▌    | 1944/3515 [40:56<32:15,  1.23s/it]
overall:  49%|████▊     | 1945/4000 [40:59<42:39,  1.25s/it]

train:  55%|█████▌    | 1945/3515 [40:57<32:35,  1.25s/it]
overall:  49%|████▊     | 1946/4000 [41:00<44:11,  1.29s/it]

train:  55%|█████▌    | 1946/3515 [40:59<33:45,  1.29s/it]
overall:  49%|████▊     | 1947/4000 [41:02<44:12,  1.29s/it]

train:  55%|█████▌    | 1947/3515 [41:00<33:46,  1.29s/it]
overall:  49%|████▊     | 1948/4000 [41:03<40:25,  1.18s/it]

train:  55%|█████▌    | 1948/3515 [41:01<30:51,  1.18s/it]
overall:  49%|████▊     | 1949/4000 [41:04<40:27,  1.18s/it]

train:  55%|█████▌    | 1949/3515 [41:02<30:53,  1.18s/it]
overall:  49%|████▉     | 1950/4000 [41:05<42:03,  1.23s/it]

train:  55%|█████▌    | 1950/3515 [41:03<32:06,  1.23s/it]
overall:  49%|████▉     | 1951/4000 [41:06<42:28,  1.24s/it]

train:  56%|█████▌    | 1951/3515 [41:05<32:25,  1.24s/it]
overall:  49%|████▉     | 1952/4000 [41:07<39:57,  1.17s/it]

train:  56%|█████▌    | 1952/3515 [41:06<30:29,  1.17s/it]
overall:  49%|████▉     | 1953/4000 [41:09<41:43,  1.22s/it]

train:  56%|█████▌    | 1953/3515 [41:07<31:50,  1.22s/it]
overall:  49%|████▉     | 1954/4000 [41:10<42:15,  1.24s/it]

train:  56%|█████▌    | 1954/3515 [41:08<32:14,  1.24s/it]
overall:  49%|████▉     | 1955/4000 [41:11<41:29,  1.22s/it]

train:  56%|█████▌    | 1955/3515 [41:09<31:39,  1.22s/it]
overall:  49%|████▉     | 1956/4000 [41:12<41:08,  1.21s/it]

train:  56%|█████▌    | 1956/3515 [41:11<31:22,  1.21s/it]
overall:  49%|████▉     | 1957/4000 [41:14<41:22,  1.22s/it]

train:  56%|█████▌    | 1957/3515 [41:12<31:33,  1.22s/it]
overall:  49%|████▉     | 1958/4000 [41:15<43:21,  1.27s/it]

train:  56%|█████▌    | 1958/3515 [41:13<33:03,  1.27s/it]
overall:  49%|████▉     | 1959/4000 [41:16<43:22,  1.27s/it]

train:  56%|█████▌    | 1959/3515 [41:14<33:03,  1.27s/it]
overall:  49%|████▉     | 1960/4000 [41:18<43:58,  1.29s/it]

train:  56%|█████▌    | 1960/3515 [41:16<33:31,  1.29s/it]
overall:  49%|████▉     | 1961/4000 [41:19<44:30,  1.31s/it]

train:  56%|█████▌    | 1961/3515 [41:17<33:55,  1.31s/it]
overall:  49%|████▉     | 1962/4000 [41:20<44:50,  1.32s/it]

train:  56%|█████▌    | 1962/3515 [41:19<34:09,  1.32s/it]
overall:  49%|████▉     | 1963/4000 [41:22<43:27,  1.28s/it]

train:  56%|█████▌    | 1963/3515 [41:20<33:06,  1.28s/it]
overall:  49%|████▉     | 1964/4000 [41:23<43:31,  1.28s/it]

train:  56%|█████▌    | 1964/3515 [41:21<33:09,  1.28s/it]
overall:  49%|████▉     | 1965/4000 [41:24<40:23,  1.19s/it]

train:  56%|█████▌    | 1965/3515 [41:22<30:45,  1.19s/it]
overall:  49%|████▉     | 1966/4000 [41:25<41:30,  1.22s/it]

train:  56%|█████▌    | 1966/3515 [41:23<31:36,  1.22s/it]
overall:  49%|████▉     | 1967/4000 [41:26<40:59,  1.21s/it]

train:  56%|█████▌    | 1967/3515 [41:24<31:12,  1.21s/it]
overall:  49%|████▉     | 1968/4000 [41:27<34:05,  1.01s/it]

train:  56%|█████▌    | 1968/3515 [41:25<25:57,  1.01s/it]
overall:  49%|████▉     | 1969/4000 [41:28<36:04,  1.07s/it]

train:  56%|█████▌    | 1969/3515 [41:26<27:27,  1.07s/it]
overall:  49%|████▉     | 1970/4000 [41:29<39:14,  1.16s/it]

train:  56%|█████▌    | 1970/3515 [41:28<29:52,  1.16s/it]
overall:  49%|████▉     | 1971/4000 [41:31<40:01,  1.18s/it]

train:  56%|█████▌    | 1971/3515 [41:29<30:27,  1.18s/it]
overall:  49%|████▉     | 1972/4000 [41:32<40:59,  1.21s/it]

train:  56%|█████▌    | 1972/3515 [41:30<31:11,  1.21s/it]
overall:  49%|████▉     | 1973/4000 [41:33<42:09,  1.25s/it]

train:  56%|█████▌    | 1973/3515 [41:31<32:03,  1.25s/it]
overall:  49%|████▉     | 1974/4000 [41:34<42:22,  1.25s/it]

train:  56%|█████▌    | 1974/3515 [41:33<32:13,  1.25s/it]
overall:  49%|████▉     | 1975/4000 [41:35<34:11,  1.01s/it]

train:  56%|█████▌    | 1975/3515 [41:33<26:00,  1.01s/it]
overall:  49%|████▉     | 1976/4000 [41:36<36:56,  1.09s/it]

train:  56%|█████▌    | 1976/3515 [41:34<28:05,  1.09s/it]
overall:  49%|████▉     | 1977/4000 [41:37<38:49,  1.15s/it]

train:  56%|█████▌    | 1977/3515 [41:36<29:31,  1.15s/it]
overall:  49%|████▉     | 1978/4000 [41:39<39:30,  1.17s/it]

train:  56%|█████▋    | 1978/3515 [41:37<30:01,  1.17s/it]
overall:  49%|████▉     | 1979/4000 [41:40<40:30,  1.20s/it]

train:  56%|█████▋    | 1979/3515 [41:38<30:47,  1.20s/it]
overall:  50%|████▉     | 1980/4000 [41:41<40:37,  1.21s/it]

train:  56%|█████▋    | 1980/3515 [41:39<30:52,  1.21s/it]
overall:  50%|████▉     | 1981/4000 [41:42<39:44,  1.18s/it]

train:  56%|█████▋    | 1981/3515 [41:41<30:11,  1.18s/it]
overall:  50%|████▉     | 1982/4000 [41:44<42:23,  1.26s/it]

train:  56%|█████▋    | 1982/3515 [41:42<32:11,  1.26s/it]
overall:  50%|████▉     | 1983/4000 [41:45<43:18,  1.29s/it]

train:  56%|█████▋    | 1983/3515 [41:43<32:53,  1.29s/it]
overall:  50%|████▉     | 1984/4000 [41:47<44:12,  1.32s/it]

train:  56%|█████▋    | 1984/3515 [41:45<33:34,  1.32s/it]
overall:  50%|████▉     | 1985/4000 [41:48<43:52,  1.31s/it]

train:  56%|█████▋    | 1985/3515 [41:46<33:18,  1.31s/it]
overall:  50%|████▉     | 1986/4000 [41:49<44:07,  1.31s/it]

train:  57%|█████▋    | 1986/3515 [41:47<33:29,  1.31s/it]
overall:  50%|████▉     | 1987/4000 [41:50<43:45,  1.30s/it]

train:  57%|█████▋    | 1987/3515 [41:49<33:12,  1.30s/it]
overall:  50%|████▉     | 1988/4000 [41:52<42:36,  1.27s/it]

train:  57%|█████▋    | 1988/3515 [41:50<32:20,  1.27s/it]
overall:  50%|████▉     | 1989/4000 [41:53<42:20,  1.26s/it]

train:  57%|█████▋    | 1989/3515 [41:51<32:07,  1.26s/it]
overall:  50%|████▉     | 1990/4000 [41:54<42:10,  1.26s/it]

train:  57%|█████▋    | 1990/3515 [41:52<32:00,  1.26s/it]
overall:  50%|████▉     | 1991/4000 [41:55<42:05,  1.26s/it]

train:  57%|█████▋    | 1991/3515 [41:54<31:55,  1.26s/it]
overall:  50%|████▉     | 1992/4000 [41:57<42:34,  1.27s/it]

train:  57%|█████▋    | 1992/3515 [41:55<32:17,  1.27s/it]
overall:  50%|████▉     | 1993/4000 [41:58<43:13,  1.29s/it]

train:  57%|█████▋    | 1993/3515 [41:56<32:46,  1.29s/it]
overall:  50%|████▉     | 1994/4000 [41:59<42:08,  1.26s/it]

train:  57%|█████▋    | 1994/3515 [41:57<31:57,  1.26s/it]
overall:  50%|████▉     | 1995/4000 [42:00<41:24,  1.24s/it]

train:  57%|█████▋    | 1995/3515 [41:59<31:23,  1.24s/it]
overall:  50%|████▉     | 1996/4000 [42:02<41:26,  1.24s/it]

train:  57%|█████▋    | 1996/3515 [42:00<31:25,  1.24s/it]
overall:  50%|████▉     | 1997/4000 [42:03<42:26,  1.27s/it]

train:  57%|█████▋    | 1997/3515 [42:01<32:09,  1.27s/it]
overall:  50%|████▉     | 1998/4000 [42:04<42:49,  1.28s/it]

train:  57%|█████▋    | 1998/3515 [42:02<32:27,  1.28s/it]
overall:  50%|████▉     | 1999/4000 [42:06<42:17,  1.27s/it]

train:  57%|█████▋    | 1999/3515 [42:04<32:02,  1.27s/it]dev loss: 11.333586692810059
dev per: 0.8211238293444328
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 8.804984092712402
train per: 0.8479951690821256
train loss: 7.552089691162109
train per: 0.8154591499669677
train loss: 7.2829766273498535
train per: 0.7920572916666667
train loss: 6.778260231018066
train per: 0.782258064516129
train loss: 7.00347900390625
train per: 0.7815077412820142
train loss: 5.693283557891846
train per: 0.756534097217596
train loss: 5.174401760101318
train per: 0.7467608951707891
train loss: 6.2455549240112305
train per: 0.782973302903243
train loss: 10.212030410766602
train per: 0.9462436842541208
train loss: 10.272796630859375
train per: 0.8250386482601503
train loss: 7.005467891693115
train per: 0.7841011279257984
train loss: 7.3230743408203125
train per: 0.7997081967997322
train loss: 7.265927791595459
train per: 0.8056631399962214
train loss: 5.538015365600586
train per: 0.7541676675474418
train loss: 7.552003383636475
train per: 0.8173765946949229
train loss: 7.2152228355407715
train per: 0.7472702925422332
train loss: 6.116767406463623
train per: 0.7350214975710536
train loss: 6.636817932128906
train per: 0.7650350712820643
train loss: 7.296631813049316
train per: 0.7633332455424162
train loss: 9.722538948059082
train per: 0.850101282916948
train loss: 7.05520486831665
train per: 0.7484076433121019
train loss: 8.106120109558105
train per: 0.7692634862125186
train loss: 7.980203151702881
train per: 0.7710010439624173
train loss: 6.7012739181518555
train per: 0.7606966573744917
train loss: 7.181514739990234
train per: 0.7380875106954239
train loss: 7.859925746917725
train per: 0.7673255480042117
train loss: 11.832409858703613
train per: 0.8605475040257649
train loss: 10.836407661437988
train per: 0.8299819022722703
train loss: 7.5856032371521
train per: 0.7232906476815681
train loss: 5.928122520446777
train per: 0.7284476166199337
train loss: 5.699793815612793
train per: 0.7690061814283433
train loss: 7.185877799987793
train per: 0.8134615839103821
train loss: 8.354934692382812
train per: 0.8314997596085862
train loss: 6.695562839508057
train per: 0.7327829871236933
train loss: 6.075484275817871
train per: 0.7121861286385708
train loss: 7.843062400817871
train per: 0.7950290747601639
train loss: 7.494635105133057
train per: 0.7772915490306794
train loss: 5.708155632019043
train per: 0.7122033217923629
train loss: 6.127182960510254
train per: 0.7591226755011728
train loss: 6.6243109703063965
train per: 0.7397744529363439
train loss: 6.9490227699279785
train per: 0.7955953879959509
train loss: 7.853329658508301
train per: 0.8886144229072669
train loss: 8.497977256774902
train per: 0.8063507156440797
train loss: 11.218701362609863
train per: 0.8118975355105014
train loss: 9.006546020507812
train per: 0.7769102202709107
train loss: 8.790179252624512
train per: 0.7421618122977346
train loss: 9.72661018371582
train per: 0.730809079777715
train loss: 7.659712314605713
train per: 0.7193003219087294
train loss: 7.755218505859375
train per: 0.7553050563623185
train loss: 5.796633720397949
train per: 0.7089442316843799
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 353/2703 [00:00<00:00, 3524.75it/s]


word -> phonemes:  29%|██▉       | 782/2703 [00:00<00:00, 3974.19it/s]


word -> phonemes:  47%|████▋     | 1279/2703 [00:00<00:00, 4426.99it/s]


word -> phonemes:  64%|██████▎   | 1722/2703 [00:00<00:00, 4293.71it/s]


word -> phonemes:  81%|████████  | 2189/2703 [00:00<00:00, 4426.56it/s]


word -> phonemes:  97%|█████████▋| 2633/2703 [00:00<00:00, 4033.48it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4149.34it/s]



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overall:  74%|███████▍  | 2951/4000 [1:03:34<22:13,  1.27s/it]

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overall:  74%|███████▍  | 2952/4000 [1:03:35<22:46,  1.30s/it]

train:  84%|████████▍ | 2952/3515 [1:03:33<12:14,  1.30s/it]
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overall:  74%|███████▍  | 2954/4000 [1:03:38<22:48,  1.31s/it]

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overall:  74%|███████▍  | 2960/4000 [1:03:44<18:39,  1.08s/it]

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overall:  74%|███████▍  | 2961/4000 [1:03:45<14:27,  1.20it/s]

train:  84%|████████▍ | 2961/3515 [1:03:43<07:42,  1.20it/s]
overall:  74%|███████▍  | 2962/4000 [1:03:46<16:52,  1.03it/s]

train:  84%|████████▍ | 2962/3515 [1:03:44<08:59,  1.03it/s]
overall:  74%|███████▍  | 2963/4000 [1:03:47<18:16,  1.06s/it]

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overall:  74%|███████▍  | 2964/4000 [1:03:49<19:39,  1.14s/it]

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overall:  74%|███████▍  | 2965/4000 [1:03:50<19:30,  1.13s/it]

train:  84%|████████▍ | 2965/3515 [1:03:48<10:22,  1.13s/it]
overall:  74%|███████▍  | 2966/4000 [1:03:51<20:15,  1.18s/it]

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train:  85%|████████▌ | 2994/3515 [1:04:21<09:31,  1.10s/it]
overall:  75%|███████▍  | 2995/4000 [1:04:24<19:17,  1.15s/it]

train:  85%|████████▌ | 2995/3515 [1:04:22<09:59,  1.15s/it]
overall:  75%|███████▍  | 2996/4000 [1:04:25<20:20,  1.22s/it]

train:  85%|████████▌ | 2996/3515 [1:04:24<10:30,  1.22s/it]
overall:  75%|███████▍  | 2997/4000 [1:04:27<20:32,  1.23s/it]

train:  85%|████████▌ | 2997/3515 [1:04:25<10:36,  1.23s/it]
overall:  75%|███████▍  | 2998/4000 [1:04:28<20:58,  1.26s/it]

train:  85%|████████▌ | 2998/3515 [1:04:26<10:49,  1.26s/it]
overall:  75%|███████▍  | 2999/4000 [1:04:29<19:39,  1.18s/it]

train:  85%|████████▌ | 2999/3515 [1:04:27<10:08,  1.18s/it]dev loss: 6.765250205993652
dev per: 0.7317481789802289
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 6.504183292388916
train per: 0.7244789739795289
train loss: 5.981678009033203
train per: 0.6966737645935825
train loss: 5.603951454162598
train per: 0.7161259196719334
train loss: 7.36339807510376
train per: 0.7168154987134857
train loss: 10.343637466430664
train per: 0.8219147566952131
train loss: 9.873863220214844
train per: 0.787998572565813
train loss: 10.792716979980469
train per: 0.7670845008110898
train loss: 11.449434280395508
train per: 0.7931908812207547
train loss: 7.674857139587402
train per: 0.7187626412849495
train loss: 5.883477210998535
train per: 0.6906296802760956
train loss: 5.804825305938721
train per: 0.7344400302686341
train loss: 6.281721591949463
train per: 0.743930688005776
train loss: 9.765945434570312
train per: 0.8343703925831522
train loss: 11.654428482055664
train per: 0.7719626622587389
train loss: 8.99443244934082
train per: 0.7689612380465728
train loss: 6.023039817810059
train per: 0.6854218696439939
train loss: 9.486513137817383
train per: 0.818449264522563
train loss: 11.814849853515625
train per: 0.8774144141588904
train loss: 14.867639541625977
train per: 0.7739062750394908
train loss: 12.100824356079102
train per: 0.7353217718345173
train loss: 10.19470500946045
train per: 0.7451277340549666
train loss: 7.186267852783203
train per: 0.6854418479720655
train loss: 10.29278564453125
train per: 0.788270826892435
train loss: 7.542279243469238
train per: 0.7213388275147256
train loss: 10.227598190307617
train per: 0.8370643159543003
train loss: 10.758587837219238
train per: 0.7787394308233357
train loss: 8.502235412597656
train per: 0.7298814249235204
train loss: 7.8600263595581055
train per: 0.7036670705472169
train loss: 6.880600929260254
train per: 0.6897960136302105
train loss: 6.185569763183594
train per: 0.7360725431892463
train loss: 7.554681301116943
train per: 0.7166863905325443
train loss: 9.969149589538574
train per: 0.7591608027104508
train loss: 8.048246383666992
train per: 0.709722016491384
train loss: 7.06076717376709
train per: 0.7254791558748677
train loss: 7.696915626525879
train per: 0.7584124014432714
train loss: 7.349113464355469
train per: 0.7126319738464012
train loss: 7.248915195465088
train per: 0.7813340778719732
train loss: 7.783177852630615
train per: 0.7401122568855241
train loss: 8.575632095336914
train per: 0.7504494786048184
train loss: 8.524613380432129
train per: 0.7996755290813115
train loss: 7.820732116699219
train per: 0.7300315668643581
train loss: 9.202863693237305
train per: 0.8100288544022459
train loss: 9.07445240020752
train per: 0.7542160584695643
train loss: 8.642592430114746
train per: 0.7173336577058752
train loss: 11.96978759765625
train per: 0.7589089658456573
train loss: 11.441162109375
train per: 0.7155681198234389
train loss: 19.7294979095459
train per: 0.9212267139779495
train loss: 9.362951278686523
train per: 0.7043132939403364
train loss: 6.710780143737793
train per: 0.6990125433680278
train loss: 5.574149131774902
train per: 0.675808587100435
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  16%|█▌        | 436/2703 [00:00<00:00, 4357.75it/s]


word -> phonemes:  33%|███▎      | 879/2703 [00:00<00:00, 4211.26it/s]


word -> phonemes:  54%|█████▎    | 1451/2703 [00:00<00:00, 4877.88it/s]


word -> phonemes:  72%|███████▏  | 1941/2703 [00:00<00:00, 4730.85it/s]


word -> phonemes:  89%|████████▉ | 2416/2703 [00:00<00:00, 4488.44it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4401.92it/s]



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overall:  75%|███████▍  | 2999/4000 [1:07:20<19:39,  1.18s/it]

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overall:  75%|███████▍  | 2999/4000 [1:07:20<19:39,  1.18s/it]

train:  85%|████████▌ | 2999/3515 [1:07:18<10:08,  1.18s/it]
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train:  85%|████████▌ | 3005/3515 [1:07:23<1:22:04,  9.66s/it]
overall:  75%|███████▌  | 3006/4000 [1:07:26<1:57:39,  7.10s/it]

train:  86%|████████▌ | 3006/3515 [1:07:24<1:00:15,  7.10s/it]
overall:  75%|███████▌  | 3007/4000 [1:07:28<1:28:51,  5.37s/it]

train:  86%|████████▌ | 3007/3515 [1:07:26<45:27,  5.37s/it]  
overall:  75%|███████▌  | 3008/4000 [1:07:28<1:06:02,  3.99s/it]

train:  86%|████████▌ | 3008/3515 [1:07:27<33:45,  3.99s/it]
overall:  75%|███████▌  | 3009/4000 [1:07:30<52:04,  3.15s/it]  

train:  86%|████████▌ | 3009/3515 [1:07:28<26:35,  3.15s/it]
overall:  75%|███████▌  | 3010/4000 [1:07:31<42:59,  2.61s/it]

train:  86%|████████▌ | 3010/3515 [1:07:29<21:55,  2.61s/it]
overall:  75%|███████▌  | 3011/4000 [1:07:32<35:51,  2.18s/it]

train:  86%|████████▌ | 3011/3515 [1:07:30<18:16,  2.18s/it]
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train:  86%|████████▌ | 3012/3515 [1:07:31<14:26,  1.72s/it]
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train:  86%|████████▌ | 3013/3515 [1:07:32<13:25,  1.60s/it]
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train:  86%|████████▌ | 3014/3515 [1:07:34<12:59,  1.56s/it]
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overall:  77%|███████▋  | 3061/4000 [1:08:34<19:46,  1.26s/it]

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overall:  77%|███████▋  | 3069/4000 [1:08:44<19:13,  1.24s/it]

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overall:  77%|███████▋  | 3070/4000 [1:08:45<17:06,  1.10s/it]

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overall:  77%|███████▋  | 3071/4000 [1:08:46<15:38,  1.01s/it]

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overall:  77%|███████▋  | 3072/4000 [1:08:47<17:07,  1.11s/it]

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overall:  77%|███████▋  | 3074/4000 [1:08:50<18:43,  1.21s/it]

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overall:  77%|███████▋  | 3076/4000 [1:08:52<19:28,  1.27s/it]

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train: 100%|██████████| 3515/3515 [1:17:30<00:00,  1.22s/it]403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
/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 [1:17:30<00:00,  1.32s/it]
dev loss: 6.1833062171936035
dev per: 0.7025130072840791
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.2650885581970215
train per: 0.7558620365584324
train loss: 10.732580184936523
train per: 0.7797242155621219
train loss: 7.332233428955078
train per: 0.7027550225453859
train loss: 6.381439685821533
train per: 0.7318370491884771
train loss: 7.25307559967041
train per: 0.7557850885953149
train loss: 9.791651725769043
train per: 0.794349004235616
train loss: 14.02949047088623
train per: 0.8153249063418052
train loss: 10.413003921508789
train per: 0.7133346198379005
train loss: 7.684685707092285
train per: 0.7180282048024393
train loss: 18.792343139648438
train per: 0.8518082987352709
train loss: 10.055213928222656
train per: 0.7428285962190729
train loss: 6.078352928161621
train per: 0.7050238894933535
train loss: 10.533804893493652
train per: 0.8428039181820425
train loss: 30.713764190673828
train per: 0.8951298232092104
train loss: 23.130191802978516
train per: 0.861018573996405
train loss: 14.411778450012207
train per: 0.7741642945310728
train loss: 13.662679672241211
train per: 0.7715287581401703
train loss: 8.03907585144043
train per: 0.6782409685992716
train loss: 6.230376243591309
train per: 0.6760956175298805
train loss: 5.561309337615967
train per: 0.7039906922629435
train loss: 10.800119400024414
train per: 0.8752522570366437
train loss: 15.965322494506836
train per: 0.8094045557479685
train loss: 12.927244186401367
train per: 0.7984798430164683
train loss: 7.213395118713379
train per: 0.6713435821838475
train loss: 6.345157623291016
train per: 0.7204716217778292
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 441/3515 [00:00<00:00, 4401.95it/s]

word -> phonemes:  26%|██▋       | 924/3515 [00:00<00:00, 4649.86it/s]

word -> phonemes:  40%|████      | 1420/3515 [00:00<00:00, 4790.49it/s]

word -> phonemes:  54%|█████▍    | 1900/3515 [00:00<00:00, 4735.76it/s]

word -> phonemes:  68%|██████▊   | 2374/3515 [00:00<00:00, 4717.07it/s]

word -> phonemes:  81%|████████  | 2846/3515 [00:00<00:00, 4688.22it/s]

word -> phonemes:  94%|█████████▍| 3315/3515 [00:00<00:00, 4610.56it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4637.36it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:17:36<18:04,  2.24s/it]

train:   0%|          | 1/3515 [00:02<2:35:26,  2.65s/it]
overall:  88%|████████▊ | 3517/4000 [1:17:38<16:05,  2.00s/it]

train:   0%|          | 2/3515 [00:04<1:53:32,  1.94s/it]
overall:  88%|████████▊ | 3518/4000 [1:17:39<14:40,  1.83s/it]

train:   0%|          | 3/3515 [00:05<1:39:46,  1.70s/it]
overall:  88%|████████▊ | 3519/4000 [1:17:40<13:22,  1.67s/it]

train:   0%|          | 4/3515 [00:06<1:30:21,  1.54s/it]
overall:  88%|████████▊ | 3520/4000 [1:17:42<12:27,  1.56s/it]

train:   0%|          | 5/3515 [00:08<1:25:06,  1.45s/it]
overall:  88%|████████▊ | 3521/4000 [1:17:43<12:00,  1.50s/it]

train:   0%|          | 6/3515 [00:09<1:23:35,  1.43s/it]
overall:  88%|████████▊ | 3522/4000 [1:17:44<11:14,  1.41s/it]

train:   0%|          | 7/3515 [00:10<1:19:04,  1.35s/it]
overall:  88%|████████▊ | 3523/4000 [1:17:45<08:55,  1.12s/it]

train:   0%|          | 8/3515 [00:11<1:02:16,  1.07s/it]
overall:  88%|████████▊ | 3524/4000 [1:17:46<09:18,  1.17s/it]

train:   0%|          | 9/3515 [00:12<1:06:22,  1.14s/it]
overall:  88%|████████▊ | 3525/4000 [1:17:47<09:20,  1.18s/it]

train:   0%|          | 10/3515 [00:13<1:07:23,  1.15s/it]
overall:  88%|████████▊ | 3526/4000 [1:17:48<09:41,  1.23s/it]

train:   0%|          | 11/3515 [00:14<1:10:41,  1.21s/it]
overall:  88%|████████▊ | 3527/4000 [1:17:50<09:36,  1.22s/it]

train:   0%|          | 12/3515 [00:16<1:10:31,  1.21s/it]
overall:  88%|████████▊ | 3528/4000 [1:17:51<09:43,  1.24s/it]

train:   0%|          | 13/3515 [00:17<1:11:44,  1.23s/it]
overall:  88%|████████▊ | 3529/4000 [1:17:52<09:43,  1.24s/it]

train:   0%|          | 14/3515 [00:18<1:12:01,  1.23s/it]
overall:  88%|████████▊ | 3530/4000 [1:17:53<09:50,  1.26s/it]

train:   0%|          | 15/3515 [00:19<1:13:01,  1.25s/it]
overall:  88%|████████▊ | 3531/4000 [1:17:55<10:00,  1.28s/it]

train:   0%|          | 16/3515 [00:21<1:14:34,  1.28s/it]
overall:  88%|████████▊ | 3532/4000 [1:17:56<10:05,  1.29s/it]

train:   0%|          | 17/3515 [00:22<1:15:20,  1.29s/it]
overall:  88%|████████▊ | 3533/4000 [1:17:57<10:01,  1.29s/it]

train:   1%|          | 18/3515 [00:23<1:15:01,  1.29s/it]
overall:  88%|████████▊ | 3534/4000 [1:17:59<10:01,  1.29s/it]

train:   1%|          | 19/3515 [00:25<1:15:08,  1.29s/it]
overall:  88%|████████▊ | 3535/4000 [1:18:00<10:09,  1.31s/it]

train:   1%|          | 20/3515 [00:26<1:16:22,  1.31s/it]
overall:  88%|████████▊ | 3536/4000 [1:18:01<10:13,  1.32s/it]

train:   1%|          | 21/3515 [00:27<1:16:57,  1.32s/it]
overall:  88%|████████▊ | 3537/4000 [1:18:03<10:16,  1.33s/it]

train:   1%|          | 22/3515 [00:29<1:17:26,  1.33s/it]
overall:  88%|████████▊ | 3538/4000 [1:18:04<10:08,  1.32s/it]

train:   1%|          | 23/3515 [00:30<1:16:35,  1.32s/it]
overall:  88%|████████▊ | 3539/4000 [1:18:05<10:13,  1.33s/it]

train:   1%|          | 24/3515 [00:31<1:17:26,  1.33s/it]
overall:  88%|████████▊ | 3540/4000 [1:18:07<10:14,  1.34s/it]

train:   1%|          | 25/3515 [00:33<1:17:39,  1.34s/it]
overall:  89%|████████▊ | 3541/4000 [1:18:08<10:07,  1.32s/it]

train:   1%|          | 26/3515 [00:34<1:16:57,  1.32s/it]
overall:  89%|████████▊ | 3542/4000 [1:18:09<09:46,  1.28s/it]

train:   1%|          | 27/3515 [00:35<1:14:25,  1.28s/it]
overall:  89%|████████▊ | 3543/4000 [1:18:11<09:52,  1.30s/it]

train:   1%|          | 28/3515 [00:37<1:15:21,  1.30s/it]
overall:  89%|████████▊ | 3544/4000 [1:18:12<09:29,  1.25s/it]

train:   1%|          | 29/3515 [00:38<1:12:32,  1.25s/it]
overall:  89%|████████▊ | 3545/4000 [1:18:13<09:42,  1.28s/it]

train:   1%|          | 30/3515 [00:39<1:14:22,  1.28s/it]
overall:  89%|████████▊ | 3546/4000 [1:18:14<09:28,  1.25s/it]

train:   1%|          | 31/3515 [00:40<1:12:41,  1.25s/it]
overall:  89%|████████▊ | 3547/4000 [1:18:15<07:36,  1.01s/it]

train:   1%|          | 32/3515 [00:41<58:31,  1.01s/it]  
overall:  89%|████████▊ | 3548/4000 [1:18:16<08:23,  1.11s/it]

train:   1%|          | 33/3515 [00:42<1:04:37,  1.11s/it]
overall:  89%|████████▊ | 3549/4000 [1:18:17<08:53,  1.18s/it]

train:   1%|          | 34/3515 [00:43<1:08:38,  1.18s/it]
overall:  89%|████████▉ | 3550/4000 [1:18:19<09:01,  1.20s/it]

train:   1%|          | 35/3515 [00:45<1:09:51,  1.20s/it]
overall:  89%|████████▉ | 3551/4000 [1:18:20<09:02,  1.21s/it]

train:   1%|          | 36/3515 [00:46<1:10:01,  1.21s/it]
overall:  89%|████████▉ | 3552/4000 [1:18:21<09:09,  1.23s/it]

train:   1%|          | 37/3515 [00:47<1:11:03,  1.23s/it]
overall:  89%|████████▉ | 3553/4000 [1:18:22<09:13,  1.24s/it]

train:   1%|          | 38/3515 [00:48<1:11:47,  1.24s/it]
overall:  89%|████████▉ | 3554/4000 [1:18:24<09:35,  1.29s/it]

train:   1%|          | 39/3515 [00:50<1:14:46,  1.29s/it]
overall:  89%|████████▉ | 3555/4000 [1:18:25<09:42,  1.31s/it]

train:   1%|          | 40/3515 [00:51<1:15:47,  1.31s/it]
overall:  89%|████████▉ | 3556/4000 [1:18:26<09:39,  1.30s/it]

train:   1%|          | 41/3515 [00:52<1:15:32,  1.30s/it]
overall:  89%|████████▉ | 3557/4000 [1:18:28<09:35,  1.30s/it]

train:   1%|          | 42/3515 [00:54<1:15:09,  1.30s/it]
overall:  89%|████████▉ | 3558/4000 [1:18:29<09:02,  1.23s/it]

train:   1%|          | 43/3515 [00:55<1:10:58,  1.23s/it]
overall:  89%|████████▉ | 3559/4000 [1:18:30<08:58,  1.22s/it]

train:   1%|▏         | 44/3515 [00:56<1:10:39,  1.22s/it]
overall:  89%|████████▉ | 3560/4000 [1:18:31<09:16,  1.27s/it]

train:   1%|▏         | 45/3515 [00:57<1:13:12,  1.27s/it]
overall:  89%|████████▉ | 3561/4000 [1:18:33<09:16,  1.27s/it]

train:   1%|▏         | 46/3515 [00:59<1:13:20,  1.27s/it]
overall:  89%|████████▉ | 3562/4000 [1:18:33<07:54,  1.08s/it]

train:   1%|▏         | 47/3515 [00:59<1:02:34,  1.08s/it]
overall:  89%|████████▉ | 3563/4000 [1:18:34<07:30,  1.03s/it]

train:   1%|▏         | 48/3515 [01:00<59:37,  1.03s/it]  
overall:  89%|████████▉ | 3564/4000 [1:18:36<08:11,  1.13s/it]

train:   1%|▏         | 49/3515 [01:02<1:05:03,  1.13s/it]
overall:  89%|████████▉ | 3565/4000 [1:18:37<08:38,  1.19s/it]

train:   1%|▏         | 50/3515 [01:03<1:08:47,  1.19s/it]
overall:  89%|████████▉ | 3566/4000 [1:18:38<08:44,  1.21s/it]

train:   1%|▏         | 51/3515 [01:04<1:09:47,  1.21s/it]
overall:  89%|████████▉ | 3567/4000 [1:18:39<09:07,  1.26s/it]

train:   1%|▏         | 52/3515 [01:06<1:12:54,  1.26s/it]
overall:  89%|████████▉ | 3568/4000 [1:18:41<08:55,  1.24s/it]

train:   2%|▏         | 53/3515 [01:07<1:11:30,  1.24s/it]
overall:  89%|████████▉ | 3569/4000 [1:18:42<09:03,  1.26s/it]

train:   2%|▏         | 54/3515 [01:08<1:12:42,  1.26s/it]
overall:  89%|████████▉ | 3570/4000 [1:18:43<08:51,  1.24s/it]

train:   2%|▏         | 55/3515 [01:09<1:11:18,  1.24s/it]
overall:  89%|████████▉ | 3571/4000 [1:18:45<09:05,  1.27s/it]

train:   2%|▏         | 56/3515 [01:11<1:13:17,  1.27s/it]
overall:  89%|████████▉ | 3572/4000 [1:18:46<09:15,  1.30s/it]

train:   2%|▏         | 57/3515 [01:12<1:14:45,  1.30s/it]
overall:  89%|████████▉ | 3573/4000 [1:18:47<09:21,  1.31s/it]

train:   2%|▏         | 58/3515 [01:13<1:15:44,  1.31s/it]
overall:  89%|████████▉ | 3574/4000 [1:18:49<09:27,  1.33s/it]

train:   2%|▏         | 59/3515 [01:15<1:16:45,  1.33s/it]
overall:  89%|████████▉ | 3575/4000 [1:18:50<09:33,  1.35s/it]

train:   2%|▏         | 60/3515 [01:16<1:17:39,  1.35s/it]
overall:  89%|████████▉ | 3576/4000 [1:18:51<09:25,  1.33s/it]

train:   2%|▏         | 61/3515 [01:17<1:16:47,  1.33s/it]
overall:  89%|████████▉ | 3577/4000 [1:18:53<09:23,  1.33s/it]

train:   2%|▏         | 62/3515 [01:19<1:16:37,  1.33s/it]
overall:  89%|████████▉ | 3578/4000 [1:18:54<09:21,  1.33s/it]

train:   2%|▏         | 63/3515 [01:20<1:16:29,  1.33s/it]
overall:  89%|████████▉ | 3579/4000 [1:18:55<09:20,  1.33s/it]

train:   2%|▏         | 64/3515 [01:21<1:16:36,  1.33s/it]
overall:  90%|████████▉ | 3580/4000 [1:18:57<09:10,  1.31s/it]

train:   2%|▏         | 65/3515 [01:23<1:15:21,  1.31s/it]
overall:  90%|████████▉ | 3581/4000 [1:18:58<08:52,  1.27s/it]

train:   2%|▏         | 66/3515 [01:24<1:13:02,  1.27s/it]
overall:  90%|████████▉ | 3582/4000 [1:18:59<08:51,  1.27s/it]

train:   2%|▏         | 67/3515 [01:25<1:13:08,  1.27s/it]
overall:  90%|████████▉ | 3583/4000 [1:19:00<09:02,  1.30s/it]

train:   2%|▏         | 68/3515 [01:26<1:14:42,  1.30s/it]
overall:  90%|████████▉ | 3584/4000 [1:19:02<08:49,  1.27s/it]

train:   2%|▏         | 69/3515 [01:28<1:13:08,  1.27s/it]
overall:  90%|████████▉ | 3585/4000 [1:19:02<08:02,  1.16s/it]

train:   2%|▏         | 70/3515 [01:29<1:06:42,  1.16s/it]
overall:  90%|████████▉ | 3586/4000 [1:19:04<07:56,  1.15s/it]

train:   2%|▏         | 71/3515 [01:30<1:06:03,  1.15s/it]
overall:  90%|████████▉ | 3587/4000 [1:19:05<08:23,  1.22s/it]

train:   2%|▏         | 72/3515 [01:31<1:09:57,  1.22s/it]
overall:  90%|████████▉ | 3588/4000 [1:19:06<08:37,  1.26s/it]

train:   2%|▏         | 73/3515 [01:32<1:12:00,  1.26s/it]
overall:  90%|████████▉ | 3589/4000 [1:19:08<08:46,  1.28s/it]

train:   2%|▏         | 74/3515 [01:34<1:13:25,  1.28s/it]
overall:  90%|████████▉ | 3590/4000 [1:19:09<09:02,  1.32s/it]

train:   2%|▏         | 75/3515 [01:35<1:15:49,  1.32s/it]
overall:  90%|████████▉ | 3591/4000 [1:19:10<09:10,  1.34s/it]

train:   2%|▏         | 76/3515 [01:37<1:17:05,  1.34s/it]
overall:  90%|████████▉ | 3592/4000 [1:19:12<08:58,  1.32s/it]

train:   2%|▏         | 77/3515 [01:38<1:15:39,  1.32s/it]
overall:  90%|████████▉ | 3593/4000 [1:19:13<09:04,  1.34s/it]

train:   2%|▏         | 78/3515 [01:39<1:16:39,  1.34s/it]
overall:  90%|████████▉ | 3594/4000 [1:19:14<08:43,  1.29s/it]

train:   2%|▏         | 79/3515 [01:40<1:13:49,  1.29s/it]
overall:  90%|████████▉ | 3595/4000 [1:19:15<08:29,  1.26s/it]

train:   2%|▏         | 80/3515 [01:42<1:12:05,  1.26s/it]
overall:  90%|████████▉ | 3596/4000 [1:19:17<08:22,  1.24s/it]

train:   2%|▏         | 81/3515 [01:43<1:11:11,  1.24s/it]
overall:  90%|████████▉ | 3597/4000 [1:19:18<08:35,  1.28s/it]

train:   2%|▏         | 82/3515 [01:44<1:13:07,  1.28s/it]
overall:  90%|████████▉ | 3598/4000 [1:19:19<08:43,  1.30s/it]

train:   2%|▏         | 83/3515 [01:45<1:14:28,  1.30s/it]
overall:  90%|████████▉ | 3599/4000 [1:19:21<08:52,  1.33s/it]

train:   2%|▏         | 84/3515 [01:47<1:15:57,  1.33s/it]
overall:  90%|█████████ | 3600/4000 [1:19:22<08:59,  1.35s/it]

train:   2%|▏         | 85/3515 [01:48<1:17:06,  1.35s/it]
overall:  90%|█████████ | 3601/4000 [1:19:24<08:55,  1.34s/it]

train:   2%|▏         | 86/3515 [01:50<1:16:40,  1.34s/it]
overall:  90%|█████████ | 3602/4000 [1:19:25<08:43,  1.31s/it]

train:   2%|▏         | 87/3515 [01:51<1:15:06,  1.31s/it]
overall:  90%|█████████ | 3603/4000 [1:19:26<08:46,  1.33s/it]

train:   3%|▎         | 88/3515 [01:52<1:15:43,  1.33s/it]
overall:  90%|█████████ | 3604/4000 [1:19:27<08:27,  1.28s/it]

train:   3%|▎         | 89/3515 [01:53<1:13:09,  1.28s/it]
overall:  90%|█████████ | 3605/4000 [1:19:29<08:20,  1.27s/it]

train:   3%|▎         | 90/3515 [01:55<1:12:15,  1.27s/it]
overall:  90%|█████████ | 3606/4000 [1:19:30<08:13,  1.25s/it]

train:   3%|▎         | 91/3515 [01:56<1:11:28,  1.25s/it]
overall:  90%|█████████ | 3607/4000 [1:19:31<08:16,  1.26s/it]

train:   3%|▎         | 92/3515 [01:57<1:12:07,  1.26s/it]
overall:  90%|█████████ | 3608/4000 [1:19:32<08:27,  1.29s/it]

train:   3%|▎         | 93/3515 [01:58<1:13:45,  1.29s/it]
overall:  90%|█████████ | 3609/4000 [1:19:33<06:40,  1.02s/it]

train:   3%|▎         | 94/3515 [01:59<58:24,  1.02s/it]  
overall:  90%|█████████ | 3610/4000 [1:19:34<06:36,  1.02s/it]

train:   3%|▎         | 95/3515 [02:00<58:00,  1.02s/it]
overall:  90%|█████████ | 3611/4000 [1:19:35<07:00,  1.08s/it]

train:   3%|▎         | 96/3515 [02:01<1:01:32,  1.08s/it]
overall:  90%|█████████ | 3612/4000 [1:19:36<07:07,  1.10s/it]

train:   3%|▎         | 97/3515 [02:02<1:02:47,  1.10s/it]
overall:  90%|█████████ | 3613/4000 [1:19:37<07:16,  1.13s/it]

train:   3%|▎         | 98/3515 [02:03<1:04:17,  1.13s/it]
overall:  90%|█████████ | 3614/4000 [1:19:39<07:30,  1.17s/it]

train:   3%|▎         | 99/3515 [02:05<1:06:24,  1.17s/it]
overall:  90%|█████████ | 3615/4000 [1:19:40<07:44,  1.21s/it]

train:   3%|▎         | 100/3515 [02:06<1:08:42,  1.21s/it]
overall:  90%|█████████ | 3616/4000 [1:19:41<07:54,  1.23s/it]

train:   3%|▎         | 101/3515 [02:07<1:10:16,  1.23s/it]
overall:  90%|█████████ | 3617/4000 [1:19:43<08:01,  1.26s/it]

train:   3%|▎         | 102/3515 [02:09<1:11:28,  1.26s/it]
overall:  90%|█████████ | 3618/4000 [1:19:44<08:11,  1.29s/it]

train:   3%|▎         | 103/3515 [02:10<1:13:06,  1.29s/it]
overall:  90%|█████████ | 3619/4000 [1:19:45<06:56,  1.09s/it]

train:   3%|▎         | 104/3515 [02:11<1:02:11,  1.09s/it]
overall:  90%|█████████ | 3620/4000 [1:19:45<05:58,  1.06it/s]

train:   3%|▎         | 105/3515 [02:11<53:33,  1.06it/s]  
overall:  91%|█████████ | 3621/4000 [1:19:45<04:40,  1.35it/s]

train:   3%|▎         | 106/3515 [02:11<42:03,  1.35it/s]
overall:  91%|█████████ | 3622/4000 [1:19:47<05:37,  1.12it/s]

train:   3%|▎         | 107/3515 [02:13<50:46,  1.12it/s]
overall:  91%|█████████ | 3623/4000 [1:19:48<06:32,  1.04s/it]

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overall:  92%|█████████▏| 3680/4000 [1:20:55<05:52,  1.10s/it]

train:   5%|▍         | 165/3515 [03:21<1:01:31,  1.10s/it]
overall:  92%|█████████▏| 3681/4000 [1:20:57<06:10,  1.16s/it]

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overall:  92%|█████████▏| 3682/4000 [1:20:58<06:14,  1.18s/it]

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overall:  92%|█████████▏| 3683/4000 [1:20:59<06:25,  1.22s/it]

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overall:  92%|█████████▏| 3684/4000 [1:21:00<06:31,  1.24s/it]

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train:  14%|█▍        | 484/3515 [09:46<59:56,  1.19s/it]train loss: 8.138204574584961
train per: 0.8010047110854726
train loss: 7.375482082366943
train per: 0.7019759820104301
train loss: 7.876229286193848
train per: 0.7600352660512395
train loss: 6.920359134674072
train per: 0.6870994639666468
train loss: 5.832263469696045
train per: 0.6707881859489689
train loss: 5.702311992645264
train per: 0.7192552539754415
train loss: 20.963836669921875
train per: 1.0863912547427632
train loss: 24.61172866821289
train per: 1.0664380111769363
train loss: 19.079355239868164
train per: 0.8751397011046134
train loss: 14.740750312805176
train per: 0.7839847473784557
train loss: 12.193445205688477
train per: 0.7441099174696851
train loss: 9.377946853637695
train per: 0.7143614871691251
train loss: 8.199982643127441
train per: 0.6869702045581443
train loss: 7.063710689544678
train per: 0.6980973227816131
train loss: 9.938251495361328
train per: 0.8862347778928167
train loss: 10.804365158081055
train per: 0.7965313230593063
train loss: 6.606091499328613
train per: 0.6990810157194679
train loss: 4.8322553634643555
train per: 0.6589216283318499
train loss: 9.989118576049805
train per: 0.801231909732632
train loss: 9.617494583129883
train per: 0.7421201251621766
train loss: 7.396587371826172
train per: 0.6869136667250394
train loss: 10.255651473999023
train per: 0.7481114740710494
train loss: 8.079806327819824
train per: 0.6796716712556496
train loss: 6.912915229797363
train per: 0.6986100405301241
train loss: 6.8940277099609375
train per: 0.7298361853088481
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 593/2703 [00:00<00:00, 5912.47it/s]


word -> phonemes:  44%|████▍     | 1185/2703 [00:00<00:00, 5247.27it/s]


word -> phonemes:  66%|██████▌   | 1776/2703 [00:00<00:00, 5529.95it/s]


word -> phonemes:  87%|████████▋ | 2348/2703 [00:00<00:00, 5598.62it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5549.47it/s]



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overall: 100%|█████████▉| 3999/4000 [1:30:12<00:01,  1.19s/it]

train:  14%|█▍        | 484/3515 [12:38<59:56,  1.19s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:30:12<00:01,  1.19s/it]

train:  14%|█▍        | 484/3515 [12:38<59:56,  1.19s/it]
overall: 100%|██████████| 4000/4000 [1:30:12<00:00, 52.46s/it]

train:  14%|█▍        | 485/3515 [12:38<44:09:21, 52.46s/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 [12:38<1:18:58,  1.56s/it] 

overall: 100%|██████████| 4000/4000 [1:30:12<00:00,  1.35s/it]
dev loss: 8.124282836914062
dev per: 0.9299323621227887
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt