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

overall:   0%|          | 0/4000 [00:00<?, ?it/s][LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 466/3515 [00:00<00:00, 4656.93it/s]

word -> phonemes:  27%|██▋       | 963/3515 [00:00<00:00, 4840.40it/s]

word -> phonemes:  42%|████▏     | 1482/3515 [00:00<00:00, 4996.26it/s]

word -> phonemes:  56%|█████▋    | 1982/3515 [00:00<00:00, 4794.40it/s]

word -> phonemes:  70%|███████   | 2463/3515 [00:00<00:00, 4703.36it/s]

word -> phonemes:  83%|████████▎ | 2935/3515 [00:00<00:00, 4658.87it/s]

word -> phonemes:  97%|█████████▋| 3402/3515 [00:00<00:00, 4538.10it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4661.83it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:06:13,  4.59s/it]

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overall:   0%|          | 7/4000 [00:11<1:31:09,  1.37s/it]

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overall:   0%|          | 9/4000 [00:14<1:27:27,  1.31s/it]

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overall:   0%|          | 15/4000 [00:19<1:10:28,  1.06s/it]

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overall:   0%|          | 16/4000 [00:21<1:13:59,  1.11s/it]

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overall:   0%|          | 17/4000 [00:22<1:14:55,  1.13s/it]

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overall:   0%|          | 18/4000 [00:23<1:19:28,  1.20s/it]

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overall:   0%|          | 20/4000 [00:25<1:09:26,  1.05s/it]

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overall:   1%|          | 21/4000 [00:26<1:14:31,  1.12s/it]

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overall:   1%|          | 22/4000 [00:27<1:17:45,  1.17s/it]

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overall:   1%|          | 23/4000 [00:29<1:19:45,  1.20s/it]

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overall:   1%|          | 24/4000 [00:30<1:18:05,  1.18s/it]

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overall:   1%|          | 25/4000 [00:31<1:17:13,  1.17s/it]

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overall:   1%|          | 26/4000 [00:32<1:19:21,  1.20s/it]

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overall:   1%|          | 27/4000 [00:33<1:20:48,  1.22s/it]

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overall:   1%|          | 28/4000 [00:35<1:20:43,  1.22s/it]

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overall:   1%|          | 29/4000 [00:36<1:20:14,  1.21s/it]

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overall:   1%|          | 30/4000 [00:37<1:21:57,  1.24s/it]

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overall:   1%|          | 31/4000 [00:38<1:21:59,  1.24s/it]

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overall:   1%|          | 32/4000 [00:40<1:22:00,  1.24s/it]

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overall:   1%|          | 33/4000 [00:41<1:23:19,  1.26s/it]

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overall:   1%|          | 34/4000 [00:41<1:03:49,  1.04it/s]

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overall:   1%|          | 35/4000 [00:42<1:10:05,  1.06s/it]

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overall:   1%|          | 36/4000 [00:44<1:14:33,  1.13s/it]

train:   1%|          | 36/3515 [00:42<1:05:26,  1.13s/it]
overall:   1%|          | 37/4000 [00:45<1:14:48,  1.13s/it]

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overall:   1%|          | 38/4000 [00:46<1:15:53,  1.15s/it]

train:   1%|          | 38/3515 [00:44<1:06:36,  1.15s/it]
overall:   1%|          | 39/4000 [00:47<1:14:55,  1.13s/it]

train:   1%|          | 39/3515 [00:45<1:05:44,  1.13s/it]
overall:   1%|          | 40/4000 [00:48<1:07:27,  1.02s/it]

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overall:   1%|          | 41/4000 [00:49<1:10:38,  1.07s/it]

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overall:   1%|          | 42/4000 [00:50<1:15:09,  1.14s/it]

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overall:   1%|          | 43/4000 [00:52<1:15:36,  1.15s/it]

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overall:   1%|          | 45/4000 [00:53<1:05:36,  1.00it/s]

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overall:   1%|          | 46/4000 [00:54<54:31,  1.21it/s]  

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overall:   1%|          | 47/4000 [00:55<1:01:55,  1.06it/s]

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overall:   1%|          | 48/4000 [00:56<1:03:16,  1.04it/s]

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overall:   1%|▏         | 50/4000 [00:58<1:11:53,  1.09s/it]

train:   1%|▏         | 50/3515 [00:57<1:03:03,  1.09s/it]
overall:   1%|▏         | 51/4000 [01:00<1:12:27,  1.10s/it]

train:   1%|▏         | 51/3515 [00:58<1:03:33,  1.10s/it]
overall:   1%|▏         | 52/4000 [01:01<1:16:44,  1.17s/it]

train:   1%|▏         | 52/3515 [00:59<1:07:18,  1.17s/it]
overall:   1%|▏         | 53/4000 [01:02<1:17:45,  1.18s/it]

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overall:   1%|▏         | 56/4000 [01:06<1:18:25,  1.19s/it]

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overall:   1%|▏         | 58/4000 [01:08<1:22:57,  1.26s/it]

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overall:   2%|▏         | 60/4000 [01:11<1:20:49,  1.23s/it]

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overall:   2%|▏         | 65/4000 [01:16<1:15:27,  1.15s/it]

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train:   8%|▊         | 264/3515 [05:08<1:08:07,  1.26s/it]
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train:   8%|▊         | 265/3515 [05:09<1:09:31,  1.28s/it]
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train:   8%|▊         | 266/3515 [05:11<1:10:50,  1.31s/it]
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train:   8%|▊         | 267/3515 [05:12<1:09:28,  1.28s/it]
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train:   8%|▊         | 268/3515 [05:13<1:09:55,  1.29s/it]
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train:   8%|▊         | 269/3515 [05:14<1:04:19,  1.19s/it]
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train:   8%|▊         | 281/3515 [05:28<1:04:34,  1.20s/it]
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overall:   7%|▋         | 283/4000 [05:33<1:15:45,  1.22s/it]

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overall:   7%|▋         | 284/4000 [05:34<1:11:05,  1.15s/it]

train:   8%|▊         | 284/3515 [05:32<1:01:49,  1.15s/it]
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train:   8%|▊         | 285/3515 [05:33<1:03:01,  1.17s/it]
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overall:  11%|█▏        | 459/4000 [08:49<1:09:40,  1.18s/it]

train:  13%|█▎        | 459/3515 [08:47<1:00:07,  1.18s/it]
overall:  12%|█▏        | 460/4000 [08:50<1:11:13,  1.21s/it]

train:  13%|█▎        | 460/3515 [08:48<1:01:28,  1.21s/it]
overall:  12%|█▏        | 461/4000 [08:51<1:11:33,  1.21s/it]

train:  13%|█▎        | 461/3515 [08:49<1:01:45,  1.21s/it]
overall:  12%|█▏        | 462/4000 [08:53<1:11:02,  1.20s/it]

train:  13%|█▎        | 462/3515 [08:51<1:01:17,  1.20s/it]
overall:  12%|█▏        | 463/4000 [08:54<1:11:52,  1.22s/it]

train:  13%|█▎        | 463/3515 [08:52<1:02:00,  1.22s/it]
overall:  12%|█▏        | 464/4000 [08:55<1:09:47,  1.18s/it]

train:  13%|█▎        | 464/3515 [08:53<1:00:12,  1.18s/it]
overall:  12%|█▏        | 465/4000 [08:56<1:08:40,  1.17s/it]

train:  13%|█▎        | 465/3515 [08:54<59:15,  1.17s/it]  
overall:  12%|█▏        | 466/4000 [08:57<1:09:23,  1.18s/it]

train:  13%|█▎        | 466/3515 [08:55<59:51,  1.18s/it]
overall:  12%|█▏        | 467/4000 [08:59<1:11:19,  1.21s/it]

train:  13%|█▎        | 467/3515 [08:57<1:01:32,  1.21s/it]
overall:  12%|█▏        | 468/4000 [08:59<59:42,  1.01s/it]  

train:  13%|█▎        | 468/3515 [08:57<51:30,  1.01s/it]  
overall:  12%|█▏        | 469/4000 [09:00<1:02:55,  1.07s/it]

train:  13%|█▎        | 469/3515 [08:58<54:16,  1.07s/it]
overall:  12%|█▏        | 470/4000 [09:01<1:04:18,  1.09s/it]

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overall:  12%|█▏        | 471/4000 [09:03<1:06:48,  1.14s/it]

train:  13%|█▎        | 471/3515 [09:01<57:37,  1.14s/it]
overall:  12%|█▏        | 472/4000 [09:04<1:08:20,  1.16s/it]

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overall:  12%|█▏        | 473/4000 [09:05<1:15:01,  1.28s/it]

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overall:  12%|█▏        | 474/4000 [09:06<59:50,  1.02s/it]  

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overall:  12%|█▏        | 475/4000 [09:07<55:53,  1.05it/s]

train:  14%|█▎        | 475/3515 [09:05<48:12,  1.05it/s]
overall:  12%|█▏        | 476/4000 [09:08<1:01:22,  1.04s/it]

train:  14%|█▎        | 476/3515 [09:06<52:55,  1.04s/it]
overall:  12%|█▏        | 477/4000 [09:09<1:07:26,  1.15s/it]

train:  14%|█▎        | 477/3515 [09:07<58:09,  1.15s/it]
overall:  12%|█▏        | 478/4000 [09:11<1:08:50,  1.17s/it]

train:  14%|█▎        | 478/3515 [09:09<59:22,  1.17s/it]
overall:  12%|█▏        | 479/4000 [09:12<1:09:04,  1.18s/it]

train:  14%|█▎        | 479/3515 [09:10<59:33,  1.18s/it]
overall:  12%|█▏        | 480/4000 [09:13<1:05:19,  1.11s/it]

train:  14%|█▎        | 480/3515 [09:11<56:19,  1.11s/it]
overall:  12%|█▏        | 481/4000 [09:14<1:05:13,  1.11s/it]

train:  14%|█▎        | 481/3515 [09:12<56:14,  1.11s/it]
overall:  12%|█▏        | 482/4000 [09:15<1:07:40,  1.15s/it]

train:  14%|█▎        | 482/3515 [09:13<58:20,  1.15s/it]
overall:  12%|█▏        | 483/4000 [09:16<1:06:51,  1.14s/it]

train:  14%|█▎        | 483/3515 [09:14<57:38,  1.14s/it]
overall:  12%|█▏        | 484/4000 [09:17<1:07:17,  1.15s/it]

train:  14%|█▍        | 484/3515 [09:15<58:00,  1.15s/it]
overall:  12%|█▏        | 485/4000 [09:18<1:04:09,  1.10s/it]

train:  14%|█▍        | 485/3515 [09:16<55:18,  1.10s/it]
overall:  12%|█▏        | 486/4000 [09:20<1:07:32,  1.15s/it]

train:  14%|█▍        | 486/3515 [09:18<58:13,  1.15s/it]
overall:  12%|█▏        | 487/4000 [09:21<1:10:11,  1.20s/it]

train:  14%|█▍        | 487/3515 [09:19<1:00:30,  1.20s/it]
overall:  12%|█▏        | 488/4000 [09:21<55:47,  1.05it/s]  

train:  14%|█▍        | 488/3515 [09:19<48:04,  1.05it/s]  
overall:  12%|█▏        | 489/4000 [09:22<54:52,  1.07it/s]

train:  14%|█▍        | 489/3515 [09:20<47:17,  1.07it/s]
overall:  12%|█▏        | 490/4000 [09:23<1:00:12,  1.03s/it]

train:  14%|█▍        | 490/3515 [09:21<51:52,  1.03s/it]
overall:  12%|█▏        | 491/4000 [09:25<1:02:16,  1.06s/it]

train:  14%|█▍        | 491/3515 [09:23<53:39,  1.06s/it]
overall:  12%|█▏        | 492/4000 [09:25<53:25,  1.09it/s]  

train:  14%|█▍        | 492/3515 [09:23<46:02,  1.09it/s]
overall:  12%|█▏        | 493/4000 [09:26<58:21,  1.00it/s]

train:  14%|█▍        | 493/3515 [09:24<50:17,  1.00it/s]
overall:  12%|█▏        | 494/4000 [09:27<1:01:27,  1.05s/it]

train:  14%|█▍        | 494/3515 [09:26<52:57,  1.05s/it]
overall:  12%|█▏        | 495/4000 [09:29<1:03:47,  1.09s/it]

train:  14%|█▍        | 495/3515 [09:27<54:58,  1.09s/it]
overall:  12%|█▏        | 496/4000 [09:30<1:04:42,  1.11s/it]

train:  14%|█▍        | 496/3515 [09:28<55:44,  1.11s/it]
overall:  12%|█▏        | 497/4000 [09:31<1:10:07,  1.20s/it]

train:  14%|█▍        | 497/3515 [09:29<1:00:24,  1.20s/it]
overall:  12%|█▏        | 498/4000 [09:32<1:09:23,  1.19s/it]

train:  14%|█▍        | 498/3515 [09:30<59:46,  1.19s/it]  
overall:  12%|█▏        | 499/4000 [09:33<1:06:19,  1.14s/it]

train:  14%|█▍        | 499/3515 [09:31<57:08,  1.14s/it]
overall:  12%|█▎        | 500/4000 [09:34<57:00,  1.02it/s]  

train:  14%|█▍        | 500/3515 [09:32<49:06,  1.02it/s]
overall:  13%|█▎        | 501/4000 [09:35<1:02:58,  1.08s/it]

train:  14%|█▍        | 501/3515 [09:33<54:15,  1.08s/it]
overall:  13%|█▎        | 502/4000 [09:37<1:05:34,  1.12s/it]

train:  14%|█▍        | 502/3515 [09:35<56:28,  1.12s/it]
overall:  13%|█▎        | 503/4000 [09:38<1:07:48,  1.16s/it]

train:  14%|█▍        | 503/3515 [09:36<58:24,  1.16s/it]
overall:  13%|█▎        | 504/4000 [09:39<1:09:18,  1.19s/it]

train:  14%|█▍        | 504/3515 [09:37<59:41,  1.19s/it]
overall:  13%|█▎        | 505/4000 [09:40<1:11:15,  1.22s/it]

train:  14%|█▍        | 505/3515 [09:38<1:01:22,  1.22s/it]
overall:  13%|█▎        | 506/4000 [09:41<1:07:33,  1.16s/it]

train:  14%|█▍        | 506/3515 [09:39<58:10,  1.16s/it]  
overall:  13%|█▎        | 507/4000 [09:43<1:08:24,  1.17s/it]

train:  14%|█▍        | 507/3515 [09:41<58:54,  1.17s/it]
overall:  13%|█▎        | 508/4000 [09:44<1:09:15,  1.19s/it]

train:  14%|█▍        | 508/3515 [09:42<59:38,  1.19s/it]
overall:  13%|█▎        | 509/4000 [09:45<1:10:36,  1.21s/it]

train:  14%|█▍        | 509/3515 [09:43<1:00:48,  1.21s/it]
overall:  13%|█▎        | 510/4000 [09:46<1:10:49,  1.22s/it]

train:  15%|█▍        | 510/3515 [09:44<1:00:59,  1.22s/it]
overall:  13%|█▎        | 511/4000 [09:47<1:09:41,  1.20s/it]

train:  15%|█▍        | 511/3515 [09:46<1:00:00,  1.20s/it]
overall:  13%|█▎        | 512/4000 [09:49<1:08:50,  1.18s/it]

train:  15%|█▍        | 512/3515 [09:47<59:16,  1.18s/it]  
overall:  13%|█▎        | 513/4000 [09:50<1:09:08,  1.19s/it]

train:  15%|█▍        | 513/3515 [09:48<59:31,  1.19s/it]
overall:  13%|█▎        | 514/4000 [09:51<1:07:52,  1.17s/it]

train:  15%|█▍        | 514/3515 [09:49<58:25,  1.17s/it]
overall:  13%|█▎        | 515/4000 [09:52<1:06:25,  1.14s/it]

train:  15%|█▍        | 515/3515 [09:50<57:10,  1.14s/it]
overall:  13%|█▎        | 516/4000 [09:53<1:08:54,  1.19s/it]

train:  15%|█▍        | 516/3515 [09:51<59:18,  1.19s/it]
overall:  13%|█▎        | 517/4000 [09:54<1:08:28,  1.18s/it]

train:  15%|█▍        | 517/3515 [09:53<58:56,  1.18s/it]
overall:  13%|█▎        | 518/4000 [09:55<57:29,  1.01it/s]  

train:  15%|█▍        | 518/3515 [09:53<49:28,  1.01it/s]
overall:  13%|█▎        | 519/4000 [09:56<1:02:47,  1.08s/it]

train:  15%|█▍        | 519/3515 [09:54<54:02,  1.08s/it]
overall:  13%|█▎        | 520/4000 [09:57<1:04:40,  1.11s/it]

train:  15%|█▍        | 520/3515 [09:56<55:39,  1.11s/it]
overall:  13%|█▎        | 521/4000 [09:59<1:11:57,  1.24s/it]

train:  15%|█▍        | 521/3515 [09:57<1:01:55,  1.24s/it]
overall:  13%|█▎        | 522/4000 [10:00<1:11:46,  1.24s/it]

train:  15%|█▍        | 522/3515 [09:58<1:01:45,  1.24s/it]
overall:  13%|█▎        | 523/4000 [10:02<1:11:47,  1.24s/it]

train:  15%|█▍        | 523/3515 [10:00<1:01:46,  1.24s/it]
overall:  13%|█▎        | 524/4000 [10:03<1:11:39,  1.24s/it]

train:  15%|█▍        | 524/3515 [10:01<1:01:39,  1.24s/it]
overall:  13%|█▎        | 525/4000 [10:04<1:13:40,  1.27s/it]

train:  15%|█▍        | 525/3515 [10:02<1:03:23,  1.27s/it]
overall:  13%|█▎        | 526/4000 [10:05<1:13:48,  1.27s/it]

train:  15%|█▍        | 526/3515 [10:03<1:03:30,  1.27s/it]
overall:  13%|█▎        | 527/4000 [10:07<1:12:44,  1.26s/it]

train:  15%|█▍        | 527/3515 [10:05<1:02:35,  1.26s/it]
overall:  13%|█▎        | 528/4000 [10:07<54:56,  1.05it/s]  

train:  15%|█▌        | 528/3515 [10:05<47:16,  1.05it/s]  
overall:  13%|█▎        | 529/4000 [10:08<59:46,  1.03s/it]

train:  15%|█▌        | 529/3515 [10:06<51:25,  1.03s/it]
overall:  13%|█▎        | 530/4000 [10:09<1:03:37,  1.10s/it]

train:  15%|█▌        | 530/3515 [10:07<54:43,  1.10s/it]
overall:  13%|█▎        | 531/4000 [10:10<54:47,  1.06it/s]  

train:  15%|█▌        | 531/3515 [10:08<47:07,  1.06it/s]
overall:  13%|█▎        | 532/4000 [10:11<59:28,  1.03s/it]

train:  15%|█▌        | 532/3515 [10:09<51:09,  1.03s/it]
overall:  13%|█▎        | 533/4000 [10:12<1:02:05,  1.07s/it]

train:  15%|█▌        | 533/3515 [10:10<53:23,  1.07s/it]
overall:  13%|█▎        | 534/4000 [10:13<54:58,  1.05it/s]  

train:  15%|█▌        | 534/3515 [10:11<47:17,  1.05it/s]
overall:  13%|█▎        | 535/4000 [10:14<59:38,  1.03s/it]

train:  15%|█▌        | 535/3515 [10:12<51:17,  1.03s/it]
overall:  13%|█▎        | 536/4000 [10:15<1:02:02,  1.07s/it]

train:  15%|█▌        | 536/3515 [10:13<53:21,  1.07s/it]
overall:  13%|█▎        | 537/4000 [10:17<1:06:02,  1.14s/it]

train:  15%|█▌        | 537/3515 [10:15<56:47,  1.14s/it]
overall:  13%|█▎        | 538/4000 [10:18<1:08:26,  1.19s/it]

train:  15%|█▌        | 538/3515 [10:16<58:51,  1.19s/it]
overall:  13%|█▎        | 539/4000 [10:19<1:01:16,  1.06s/it]

train:  15%|█▌        | 539/3515 [10:17<52:40,  1.06s/it]
overall:  14%|█▎        | 540/4000 [10:19<52:38,  1.10it/s]  

train:  15%|█▌        | 540/3515 [10:17<45:15,  1.10it/s]
overall:  14%|█▎        | 541/4000 [10:21<59:14,  1.03s/it]

train:  15%|█▌        | 541/3515 [10:19<50:55,  1.03s/it]
overall:  14%|█▎        | 542/4000 [10:22<1:02:14,  1.08s/it]

train:  15%|█▌        | 542/3515 [10:20<53:30,  1.08s/it]
overall:  14%|█▎        | 543/4000 [10:23<1:04:56,  1.13s/it]

train:  15%|█▌        | 543/3515 [10:21<55:49,  1.13s/it]
overall:  14%|█▎        | 544/4000 [10:24<1:05:16,  1.13s/it]

train:  15%|█▌        | 544/3515 [10:22<56:06,  1.13s/it]
overall:  14%|█▎        | 545/4000 [10:26<1:11:46,  1.25s/it]

train:  16%|█▌        | 545/3515 [10:24<1:01:42,  1.25s/it]
overall:  14%|█▎        | 546/4000 [10:27<1:10:10,  1.22s/it]

train:  16%|█▌        | 546/3515 [10:25<1:00:19,  1.22s/it]
overall:  14%|█▎        | 547/4000 [10:28<1:10:47,  1.23s/it]

train:  16%|█▌        | 547/3515 [10:26<1:00:50,  1.23s/it]
overall:  14%|█▎        | 548/4000 [10:29<1:09:34,  1.21s/it]

train:  16%|█▌        | 548/3515 [10:27<59:48,  1.21s/it]  
overall:  14%|█▎        | 549/4000 [10:31<1:12:06,  1.25s/it]

train:  16%|█▌        | 549/3515 [10:29<1:01:58,  1.25s/it]
overall:  14%|█▍        | 550/4000 [10:32<1:11:57,  1.25s/it]

train:  16%|█▌        | 550/3515 [10:30<1:01:50,  1.25s/it]
overall:  14%|█▍        | 551/4000 [10:33<1:10:51,  1.23s/it]

train:  16%|█▌        | 551/3515 [10:31<1:00:53,  1.23s/it]
overall:  14%|█▍        | 552/4000 [10:34<1:02:44,  1.09s/it]

train:  16%|█▌        | 552/3515 [10:32<53:54,  1.09s/it]  
overall:  14%|█▍        | 553/4000 [10:35<1:02:51,  1.09s/it]

train:  16%|█▌        | 553/3515 [10:33<54:00,  1.09s/it]
overall:  14%|█▍        | 554/4000 [10:36<1:05:31,  1.14s/it]

train:  16%|█▌        | 554/3515 [10:34<56:18,  1.14s/it]
overall:  14%|█▍        | 555/4000 [10:37<52:19,  1.10it/s]  

train:  16%|█▌        | 555/3515 [10:35<44:57,  1.10it/s]
overall:  14%|█▍        | 556/4000 [10:38<57:37,  1.00s/it]

train:  16%|█▌        | 556/3515 [10:36<49:30,  1.00s/it]
overall:  14%|█▍        | 557/4000 [10:39<1:01:46,  1.08s/it]

train:  16%|█▌        | 557/3515 [10:37<53:04,  1.08s/it]
overall:  14%|█▍        | 558/4000 [10:40<1:04:13,  1.12s/it]

train:  16%|█▌        | 558/3515 [10:38<55:10,  1.12s/it]
overall:  14%|█▍        | 559/4000 [10:41<1:06:21,  1.16s/it]

train:  16%|█▌        | 559/3515 [10:40<57:00,  1.16s/it]
overall:  14%|█▍        | 560/4000 [10:42<1:03:50,  1.11s/it]

train:  16%|█▌        | 560/3515 [10:41<54:50,  1.11s/it]
overall:  14%|█▍        | 561/4000 [10:44<1:04:43,  1.13s/it]

train:  16%|█▌        | 561/3515 [10:42<55:35,  1.13s/it]
overall:  14%|█▍        | 562/4000 [10:45<1:00:40,  1.06s/it]

train:  16%|█▌        | 562/3515 [10:43<52:06,  1.06s/it]
overall:  14%|█▍        | 563/4000 [10:46<1:03:38,  1.11s/it]

train:  16%|█▌        | 563/3515 [10:44<54:39,  1.11s/it]
overall:  14%|█▍        | 564/4000 [10:47<1:06:57,  1.17s/it]

train:  16%|█▌        | 564/3515 [10:45<57:30,  1.17s/it]
overall:  14%|█▍        | 565/4000 [10:48<54:17,  1.05it/s]  

train:  16%|█▌        | 565/3515 [10:46<46:37,  1.05it/s]
overall:  14%|█▍        | 566/4000 [10:49<59:28,  1.04s/it]

train:  16%|█▌        | 566/3515 [10:47<51:04,  1.04s/it]
overall:  14%|█▍        | 567/4000 [10:50<1:02:38,  1.09s/it]

train:  16%|█▌        | 567/3515 [10:48<53:47,  1.09s/it]
overall:  14%|█▍        | 568/4000 [10:50<48:35,  1.18it/s]  

train:  16%|█▌        | 568/3515 [10:48<41:43,  1.18it/s]
overall:  14%|█▍        | 569/4000 [10:52<1:00:07,  1.05s/it]

train:  16%|█▌        | 569/3515 [10:50<51:37,  1.05s/it]
overall:  14%|█▍        | 570/4000 [10:53<1:03:11,  1.11s/it]

train:  16%|█▌        | 570/3515 [10:51<54:15,  1.11s/it]
overall:  14%|█▍        | 571/4000 [10:54<1:06:44,  1.17s/it]

train:  16%|█▌        | 571/3515 [10:52<57:18,  1.17s/it]
overall:  14%|█▍        | 572/4000 [10:56<1:07:55,  1.19s/it]

train:  16%|█▋        | 572/3515 [10:54<58:18,  1.19s/it]
overall:  14%|█▍        | 573/4000 [10:57<1:11:02,  1.24s/it]

train:  16%|█▋        | 573/3515 [10:55<1:00:59,  1.24s/it]
overall:  14%|█▍        | 574/4000 [10:58<1:10:39,  1.24s/it]

train:  16%|█▋        | 574/3515 [10:56<1:00:39,  1.24s/it]
overall:  14%|█▍        | 575/4000 [10:59<1:11:38,  1.26s/it]

train:  16%|█▋        | 575/3515 [10:58<1:01:29,  1.26s/it]
overall:  14%|█▍        | 576/4000 [11:01<1:11:23,  1.25s/it]

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overall:  14%|█▍        | 577/4000 [11:02<1:08:52,  1.21s/it]

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overall:  14%|█▍        | 578/4000 [11:03<1:09:10,  1.21s/it]

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overall:  14%|█▍        | 579/4000 [11:04<59:21,  1.04s/it]  

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overall:  14%|█▍        | 580/4000 [11:05<1:01:53,  1.09s/it]

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overall:  15%|█▍        | 581/4000 [11:06<1:01:46,  1.08s/it]

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overall:  15%|█▍        | 582/4000 [11:07<1:02:46,  1.10s/it]

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overall:  15%|█▍        | 583/4000 [11:08<1:06:20,  1.16s/it]

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overall:  15%|█▍        | 584/4000 [11:09<1:04:18,  1.13s/it]

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overall:  15%|█▍        | 585/4000 [11:11<1:06:27,  1.17s/it]

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overall:  15%|█▍        | 586/4000 [11:12<1:08:25,  1.20s/it]

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overall:  15%|█▍        | 587/4000 [11:13<1:10:00,  1.23s/it]

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overall:  15%|█▍        | 589/4000 [11:16<1:08:16,  1.20s/it]

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overall:  15%|█▍        | 590/4000 [11:16<58:51,  1.04s/it]  

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overall:  15%|█▍        | 591/4000 [11:18<1:03:22,  1.12s/it]

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overall:  15%|█▍        | 592/4000 [11:19<1:05:29,  1.15s/it]

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overall:  15%|█▍        | 593/4000 [11:20<1:09:53,  1.23s/it]

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overall:  15%|█▍        | 596/4000 [11:24<1:09:03,  1.22s/it]

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overall:  15%|█▍        | 597/4000 [11:25<1:00:37,  1.07s/it]

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overall:  15%|█▍        | 598/4000 [11:26<1:03:36,  1.12s/it]

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overall:  15%|█▌        | 601/4000 [11:29<57:06,  1.01s/it]  

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overall:  15%|█▌        | 602/4000 [11:30<1:00:16,  1.06s/it]

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overall:  15%|█▌        | 603/4000 [11:31<1:03:04,  1.11s/it]

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overall:  15%|█▌        | 604/4000 [11:32<1:03:57,  1.13s/it]

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overall:  15%|█▌        | 605/4000 [11:34<1:06:59,  1.18s/it]

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overall:  15%|█▌        | 606/4000 [11:35<1:05:04,  1.15s/it]

train:  17%|█▋        | 606/3515 [11:33<55:46,  1.15s/it]
overall:  15%|█▌        | 607/4000 [11:36<1:00:10,  1.06s/it]

train:  17%|█▋        | 607/3515 [11:34<51:34,  1.06s/it]
overall:  15%|█▌        | 608/4000 [11:37<1:03:03,  1.12s/it]

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overall:  15%|█▌        | 609/4000 [11:38<1:03:43,  1.13s/it]

train:  17%|█▋        | 609/3515 [11:36<54:36,  1.13s/it]
overall:  15%|█▌        | 610/4000 [11:39<1:05:37,  1.16s/it]

train:  17%|█▋        | 610/3515 [11:37<56:14,  1.16s/it]
overall:  15%|█▌        | 611/4000 [11:40<53:43,  1.05it/s]  

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overall:  15%|█▌        | 612/4000 [11:40<48:14,  1.17it/s]

train:  17%|█▋        | 612/3515 [11:38<41:20,  1.17it/s]
overall:  15%|█▌        | 613/4000 [11:42<54:40,  1.03it/s]

train:  17%|█▋        | 613/3515 [11:40<46:50,  1.03it/s]
overall:  15%|█▌        | 614/4000 [11:43<1:00:14,  1.07s/it]

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overall:  15%|█▌        | 615/4000 [11:44<1:03:04,  1.12s/it]

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overall:  15%|█▌        | 616/4000 [11:45<1:03:24,  1.12s/it]

train:  18%|█▊        | 616/3515 [11:43<54:19,  1.12s/it]
overall:  15%|█▌        | 617/4000 [11:47<1:10:58,  1.26s/it]

train:  18%|█▊        | 617/3515 [11:45<1:00:47,  1.26s/it]
overall:  15%|█▌        | 618/4000 [11:48<1:10:20,  1.25s/it]

train:  18%|█▊        | 618/3515 [11:46<1:00:14,  1.25s/it]
overall:  15%|█▌        | 619/4000 [11:49<1:09:19,  1.23s/it]

train:  18%|█▊        | 619/3515 [11:47<59:23,  1.23s/it]  
overall:  16%|█▌        | 620/4000 [11:50<1:09:25,  1.23s/it]

train:  18%|█▊        | 620/3515 [11:49<59:27,  1.23s/it]
overall:  16%|█▌        | 621/4000 [11:52<1:10:52,  1.26s/it]

train:  18%|█▊        | 621/3515 [11:50<1:00:42,  1.26s/it]
overall:  16%|█▌        | 622/4000 [11:53<1:10:00,  1.24s/it]

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overall:  16%|█▌        | 623/4000 [11:54<1:10:15,  1.25s/it]

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overall:  16%|█▌        | 625/4000 [11:57<1:08:04,  1.21s/it]

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train:  18%|█▊        | 627/3515 [11:57<58:03,  1.21s/it]
overall:  16%|█▌        | 628/4000 [12:00<1:08:07,  1.21s/it]

train:  18%|█▊        | 628/3515 [11:58<58:19,  1.21s/it]
overall:  16%|█▌        | 629/4000 [12:01<1:08:53,  1.23s/it]

train:  18%|█▊        | 629/3515 [12:00<58:58,  1.23s/it]
overall:  16%|█▌        | 630/4000 [12:02<1:04:42,  1.15s/it]

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overall:  16%|█▌        | 631/4000 [12:04<1:04:29,  1.15s/it]

train:  18%|█▊        | 631/3515 [12:02<55:12,  1.15s/it]
overall:  16%|█▌        | 632/4000 [12:05<1:04:52,  1.16s/it]

train:  18%|█▊        | 632/3515 [12:03<55:32,  1.16s/it]
overall:  16%|█▌        | 633/4000 [12:06<1:07:07,  1.20s/it]

train:  18%|█▊        | 633/3515 [12:04<57:27,  1.20s/it]
overall:  16%|█▌        | 634/4000 [12:07<1:08:40,  1.22s/it]

train:  18%|█▊        | 634/3515 [12:05<58:47,  1.22s/it]
overall:  16%|█▌        | 635/4000 [12:08<55:02,  1.02it/s]  

train:  18%|█▊        | 635/3515 [12:06<47:06,  1.02it/s]
overall:  16%|█▌        | 636/4000 [12:09<56:54,  1.02s/it]

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overall:  16%|█▌        | 637/4000 [12:10<1:00:41,  1.08s/it]

train:  18%|█▊        | 637/3515 [12:08<51:56,  1.08s/it]
overall:  16%|█▌        | 638/4000 [12:10<48:49,  1.15it/s]  

train:  18%|█▊        | 638/3515 [12:09<41:46,  1.15it/s]
overall:  16%|█▌        | 639/4000 [12:12<55:58,  1.00it/s]

train:  18%|█▊        | 639/3515 [12:10<47:53,  1.00it/s]
overall:  16%|█▌        | 640/4000 [12:13<56:21,  1.01s/it]

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overall:  16%|█▌        | 641/4000 [12:14<1:04:28,  1.15s/it]

train:  18%|█▊        | 641/3515 [12:12<55:09,  1.15s/it]
overall:  16%|█▌        | 642/4000 [12:15<1:04:56,  1.16s/it]

train:  18%|█▊        | 642/3515 [12:14<55:33,  1.16s/it]
overall:  16%|█▌        | 643/4000 [12:17<1:06:57,  1.20s/it]

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overall:  16%|█▌        | 644/4000 [12:18<1:07:09,  1.20s/it]

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overall:  16%|█▌        | 645/4000 [12:19<58:34,  1.05s/it]  

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overall:  16%|█▌        | 646/4000 [12:20<1:01:46,  1.11s/it]

train:  18%|█▊        | 646/3515 [12:18<52:50,  1.11s/it]
overall:  16%|█▌        | 647/4000 [12:21<1:01:26,  1.10s/it]

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overall:  16%|█▌        | 648/4000 [12:22<1:03:04,  1.13s/it]

train:  18%|█▊        | 648/3515 [12:20<53:56,  1.13s/it]
overall:  16%|█▌        | 649/4000 [12:23<1:05:00,  1.16s/it]

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overall:  16%|█▋        | 650/4000 [12:24<1:02:37,  1.12s/it]

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overall:  16%|█▋        | 651/4000 [12:26<1:05:20,  1.17s/it]

train:  19%|█▊        | 651/3515 [12:24<55:52,  1.17s/it]
overall:  16%|█▋        | 652/4000 [12:27<1:07:37,  1.21s/it]

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overall:  16%|█▋        | 653/4000 [12:28<1:08:42,  1.23s/it]

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overall:  16%|█▋        | 654/4000 [12:30<1:09:06,  1.24s/it]

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overall:  16%|█▋        | 655/4000 [12:31<1:04:10,  1.15s/it]

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overall:  16%|█▋        | 656/4000 [12:32<1:05:34,  1.18s/it]

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overall:  16%|█▋        | 657/4000 [12:33<1:05:12,  1.17s/it]

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overall:  16%|█▋        | 658/4000 [12:34<1:03:36,  1.14s/it]

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overall:  16%|█▋        | 659/4000 [12:35<54:24,  1.02it/s]  

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overall:  16%|█▋        | 660/4000 [12:36<1:00:05,  1.08s/it]

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overall:  17%|█▋        | 661/4000 [12:37<1:03:29,  1.14s/it]

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overall:  17%|█▋        | 662/4000 [12:38<1:02:15,  1.12s/it]

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overall:  17%|█▋        | 664/4000 [12:41<1:02:58,  1.13s/it]

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overall:  17%|█▋        | 665/4000 [12:42<1:09:11,  1.24s/it]

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overall:  17%|█▋        | 667/4000 [12:44<1:04:27,  1.16s/it]

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overall:  17%|█▋        | 668/4000 [12:45<1:04:45,  1.17s/it]

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overall:  17%|█▋        | 669/4000 [12:46<1:02:33,  1.13s/it]

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overall:  17%|█▋        | 670/4000 [12:47<53:38,  1.03it/s]  

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overall:  17%|█▋        | 672/4000 [12:49<53:06,  1.04it/s]

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overall:  17%|█▋        | 674/4000 [12:50<45:49,  1.21it/s]

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overall:  17%|█▋        | 678/4000 [12:55<1:03:25,  1.15s/it]

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overall:  17%|█▋        | 680/4000 [12:58<1:07:51,  1.23s/it]

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overall:  17%|█▋        | 686/4000 [13:05<1:04:35,  1.17s/it]

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train:  28%|██▊       | 999/3515 [19:03<50:49,  1.21s/it]train loss: 247.7738800048828
train per: 1.130391621581377
train loss: 149.6577911376953
train per: 0.9430327766854981
train loss: 56.750518798828125
train per: 1.0041106318193351
train loss: 41.2568359375
train per: 0.9465578353551994
train loss: 35.922481536865234
train per: 0.8854616584880487
train loss: 34.40126419067383
train per: 0.9061819043107532
train loss: 28.274127960205078
train per: 0.9391685263244897
train loss: 25.07134437561035
train per: 0.9214790380457798
train loss: 20.083520889282227
train per: 0.8931934071049236
train loss: 22.750194549560547
train per: 0.8913404200155561
train loss: 25.054153442382812
train per: 0.8740645463049579
train loss: 17.910354614257812
train per: 0.886356806571171
train loss: 16.33798599243164
train per: 0.8853698828145166
train loss: 14.57843017578125
train per: 0.8959103457957045
train loss: 14.822370529174805
train per: 0.8966321943550566
train loss: 21.099979400634766
train per: 0.9180167560853133
train loss: 20.232036590576172
train per: 0.9580784644589749
train loss: 15.897601127624512
train per: 0.9550360166814104
train loss: 14.188600540161133
train per: 0.8873516273133376
train loss: 15.119108200073242
train per: 0.8874428505769371
train loss: 11.853864669799805
train per: 0.9097306539138191
train loss: 13.686779975891113
train per: 0.9292477004828311
train loss: 21.248111724853516
train per: 1.1402727596559972
train loss: 21.05084228515625
train per: 1.0796751646804446
train loss: 23.112720489501953
train per: 1.0582030019943318
train loss: 18.88153839111328
train per: 0.9009991342396518
train loss: 19.578245162963867
train per: 0.9201144938849857
train loss: 19.64864730834961
train per: 0.9687370549964668
train loss: 20.165578842163086
train per: 0.8870321533624099
train loss: 22.074352264404297
train per: 0.9162112019254877
train loss: 21.033920288085938
train per: 0.8971964981529275
train loss: 22.93349838256836
train per: 0.9166708273004144
train loss: 18.910114288330078
train per: 0.8880453061628252
train loss: 21.227270126342773
train per: 0.9614194178974804
train loss: 25.032634735107422
train per: 0.9093321958386653
train loss: 27.910268783569336
train per: 0.926093241778099
train loss: 28.704288482666016
train per: 0.95519505600618
train loss: 23.69363021850586
train per: 0.963866632204704
train loss: 19.37194061279297
train per: 0.9371798060184033
train loss: 16.795366287231445
train per: 0.9868108161113971
train loss: 20.49736976623535
train per: 0.9094866152395231
train loss: 22.818239212036133
train per: 0.9803147651673121
train loss: 17.48316764831543
train per: 0.8975126239012531
train loss: 17.57560920715332
train per: 0.8780795957043588
train loss: 17.13609504699707
train per: 1.0255149242830015
train loss: 16.84852409362793
train per: 0.9551664091433056
train loss: 16.163089752197266
train per: 0.8867566284668068
train loss: 13.712091445922852
train per: 0.911688244163677
train loss: 16.057266235351562
train per: 1.0684165344293852
train loss: 11.531759262084961
train per: 0.862526400721422
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██▏       | 580/2703 [00:00<00:00, 5796.05it/s]


word -> phonemes:  44%|████▍     | 1193/2703 [00:00<00:00, 5990.89it/s]


word -> phonemes:  67%|██████▋   | 1821/2703 [00:00<00:00, 6119.88it/s]


word -> phonemes:  90%|█████████ | 2433/2703 [00:00<00:00, 5983.20it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5858.51it/s]



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overall:  48%|████▊     | 1913/4000 [39:10<37:08,  1.07s/it]

train:  54%|█████▍    | 1913/3515 [39:08<28:30,  1.07s/it]
overall:  48%|████▊     | 1914/4000 [39:11<36:38,  1.05s/it]

train:  54%|█████▍    | 1914/3515 [39:09<28:07,  1.05s/it]
overall:  48%|████▊     | 1915/4000 [39:12<35:39,  1.03s/it]

train:  54%|█████▍    | 1915/3515 [39:10<27:21,  1.03s/it]
overall:  48%|████▊     | 1916/4000 [39:12<31:09,  1.11it/s]

train:  55%|█████▍    | 1916/3515 [39:10<23:54,  1.11it/s]
overall:  48%|████▊     | 1917/4000 [39:13<35:03,  1.01s/it]

train:  55%|█████▍    | 1917/3515 [39:12<26:53,  1.01s/it]
overall:  48%|████▊     | 1918/4000 [39:15<37:19,  1.08s/it]

train:  55%|█████▍    | 1918/3515 [39:13<28:37,  1.08s/it]
overall:  48%|████▊     | 1919/4000 [39:16<38:30,  1.11s/it]

train:  55%|█████▍    | 1919/3515 [39:14<29:32,  1.11s/it]
overall:  48%|████▊     | 1920/4000 [39:17<39:30,  1.14s/it]

train:  55%|█████▍    | 1920/3515 [39:15<30:17,  1.14s/it]
overall:  48%|████▊     | 1921/4000 [39:18<40:23,  1.17s/it]

train:  55%|█████▍    | 1921/3515 [39:16<30:58,  1.17s/it]
overall:  48%|████▊     | 1922/4000 [39:19<39:34,  1.14s/it]

train:  55%|█████▍    | 1922/3515 [39:17<30:19,  1.14s/it]
overall:  48%|████▊     | 1923/4000 [39:21<41:03,  1.19s/it]

train:  55%|█████▍    | 1923/3515 [39:19<31:28,  1.19s/it]
overall:  48%|████▊     | 1924/4000 [39:22<41:22,  1.20s/it]

train:  55%|█████▍    | 1924/3515 [39:20<31:42,  1.20s/it]
overall:  48%|████▊     | 1925/4000 [39:23<42:31,  1.23s/it]

train:  55%|█████▍    | 1925/3515 [39:21<32:34,  1.23s/it]
overall:  48%|████▊     | 1926/4000 [39:24<42:57,  1.24s/it]

train:  55%|█████▍    | 1926/3515 [39:23<32:54,  1.24s/it]
overall:  48%|████▊     | 1927/4000 [39:25<33:09,  1.04it/s]

train:  55%|█████▍    | 1927/3515 [39:23<25:24,  1.04it/s]
overall:  48%|████▊     | 1928/4000 [39:26<36:10,  1.05s/it]

train:  55%|█████▍    | 1928/3515 [39:24<27:42,  1.05s/it]
overall:  48%|████▊     | 1929/4000 [39:27<37:21,  1.08s/it]

train:  55%|█████▍    | 1929/3515 [39:25<28:36,  1.08s/it]
overall:  48%|████▊     | 1930/4000 [39:28<38:40,  1.12s/it]

train:  55%|█████▍    | 1930/3515 [39:27<29:37,  1.12s/it]
overall:  48%|████▊     | 1931/4000 [39:30<39:18,  1.14s/it]

train:  55%|█████▍    | 1931/3515 [39:28<30:05,  1.14s/it]
overall:  48%|████▊     | 1932/4000 [39:31<40:16,  1.17s/it]

train:  55%|█████▍    | 1932/3515 [39:29<30:49,  1.17s/it]
overall:  48%|████▊     | 1933/4000 [39:32<39:48,  1.16s/it]

train:  55%|█████▍    | 1933/3515 [39:30<30:27,  1.16s/it]
overall:  48%|████▊     | 1934/4000 [39:33<40:22,  1.17s/it]

train:  55%|█████▌    | 1934/3515 [39:31<30:53,  1.17s/it]
overall:  48%|████▊     | 1935/4000 [39:34<41:36,  1.21s/it]

train:  55%|█████▌    | 1935/3515 [39:33<31:50,  1.21s/it]
overall:  48%|████▊     | 1936/4000 [39:36<41:54,  1.22s/it]

train:  55%|█████▌    | 1936/3515 [39:34<32:03,  1.22s/it]
overall:  48%|████▊     | 1937/4000 [39:37<41:45,  1.21s/it]

train:  55%|█████▌    | 1937/3515 [39:35<31:56,  1.21s/it]
overall:  48%|████▊     | 1938/4000 [39:38<42:17,  1.23s/it]

train:  55%|█████▌    | 1938/3515 [39:36<32:20,  1.23s/it]
overall:  48%|████▊     | 1939/4000 [39:39<42:03,  1.22s/it]

train:  55%|█████▌    | 1939/3515 [39:37<32:09,  1.22s/it]
overall:  48%|████▊     | 1940/4000 [39:41<43:49,  1.28s/it]

train:  55%|█████▌    | 1940/3515 [39:39<33:30,  1.28s/it]
overall:  49%|████▊     | 1941/4000 [39:42<43:22,  1.26s/it]

train:  55%|█████▌    | 1941/3515 [39:40<33:09,  1.26s/it]
overall:  49%|████▊     | 1942/4000 [39:43<43:07,  1.26s/it]

train:  55%|█████▌    | 1942/3515 [39:41<32:57,  1.26s/it]
overall:  49%|████▊     | 1943/4000 [39:44<42:37,  1.24s/it]

train:  55%|█████▌    | 1943/3515 [39:43<32:34,  1.24s/it]
overall:  49%|████▊     | 1944/4000 [39:46<41:40,  1.22s/it]

train:  55%|█████▌    | 1944/3515 [39:44<31:50,  1.22s/it]
overall:  49%|████▊     | 1945/4000 [39:47<41:45,  1.22s/it]

train:  55%|█████▌    | 1945/3515 [39:45<31:54,  1.22s/it]
overall:  49%|████▊     | 1946/4000 [39:48<42:05,  1.23s/it]

train:  55%|█████▌    | 1946/3515 [39:46<32:09,  1.23s/it]
overall:  49%|████▊     | 1947/4000 [39:49<42:22,  1.24s/it]

train:  55%|█████▌    | 1947/3515 [39:47<32:21,  1.24s/it]
overall:  49%|████▊     | 1948/4000 [39:50<38:54,  1.14s/it]

train:  55%|█████▌    | 1948/3515 [39:48<29:42,  1.14s/it]
overall:  49%|████▊     | 1949/4000 [39:51<38:59,  1.14s/it]

train:  55%|█████▌    | 1949/3515 [39:50<29:46,  1.14s/it]
overall:  49%|████▉     | 1950/4000 [39:53<40:32,  1.19s/it]

train:  55%|█████▌    | 1950/3515 [39:51<30:56,  1.19s/it]
overall:  49%|████▉     | 1951/4000 [39:54<41:01,  1.20s/it]

train:  56%|█████▌    | 1951/3515 [39:52<31:18,  1.20s/it]
overall:  49%|████▉     | 1952/4000 [39:55<38:34,  1.13s/it]

train:  56%|█████▌    | 1952/3515 [39:53<29:26,  1.13s/it]
overall:  49%|████▉     | 1953/4000 [39:56<40:17,  1.18s/it]

train:  56%|█████▌    | 1953/3515 [39:54<30:44,  1.18s/it]
overall:  49%|████▉     | 1954/4000 [39:57<40:46,  1.20s/it]

train:  56%|█████▌    | 1954/3515 [39:56<31:06,  1.20s/it]
overall:  49%|████▉     | 1955/4000 [39:59<40:10,  1.18s/it]

train:  56%|█████▌    | 1955/3515 [39:57<30:38,  1.18s/it]
overall:  49%|████▉     | 1956/4000 [40:00<39:52,  1.17s/it]

train:  56%|█████▌    | 1956/3515 [39:58<30:24,  1.17s/it]
overall:  49%|████▉     | 1957/4000 [40:01<40:02,  1.18s/it]

train:  56%|█████▌    | 1957/3515 [39:59<30:31,  1.18s/it]
overall:  49%|████▉     | 1958/4000 [40:02<40:16,  1.18s/it]

train:  56%|█████▌    | 1958/3515 [40:00<30:42,  1.18s/it]
overall:  49%|████▉     | 1959/4000 [40:03<40:44,  1.20s/it]

train:  56%|█████▌    | 1959/3515 [40:01<31:03,  1.20s/it]
overall:  49%|████▉     | 1960/4000 [40:05<41:24,  1.22s/it]

train:  56%|█████▌    | 1960/3515 [40:03<31:33,  1.22s/it]
overall:  49%|████▉     | 1961/4000 [40:06<42:18,  1.25s/it]

train:  56%|█████▌    | 1961/3515 [40:04<32:15,  1.25s/it]
overall:  49%|████▉     | 1962/4000 [40:07<42:45,  1.26s/it]

train:  56%|█████▌    | 1962/3515 [40:05<32:34,  1.26s/it]
overall:  49%|████▉     | 1963/4000 [40:08<41:40,  1.23s/it]

train:  56%|█████▌    | 1963/3515 [40:06<31:44,  1.23s/it]
overall:  49%|████▉     | 1964/4000 [40:10<45:05,  1.33s/it]

train:  56%|█████▌    | 1964/3515 [40:08<34:20,  1.33s/it]
overall:  49%|████▉     | 1965/4000 [40:11<41:38,  1.23s/it]

train:  56%|█████▌    | 1965/3515 [40:09<31:42,  1.23s/it]
overall:  49%|████▉     | 1966/4000 [40:12<41:54,  1.24s/it]

train:  56%|█████▌    | 1966/3515 [40:10<31:55,  1.24s/it]
overall:  49%|████▉     | 1967/4000 [40:13<40:56,  1.21s/it]

train:  56%|█████▌    | 1967/3515 [40:11<31:10,  1.21s/it]
overall:  49%|████▉     | 1968/4000 [40:14<33:52,  1.00s/it]

train:  56%|█████▌    | 1968/3515 [40:12<25:47,  1.00s/it]
overall:  49%|████▉     | 1969/4000 [40:15<35:33,  1.05s/it]

train:  56%|█████▌    | 1969/3515 [40:13<27:03,  1.05s/it]
overall:  49%|████▉     | 1970/4000 [40:16<37:24,  1.11s/it]

train:  56%|█████▌    | 1970/3515 [40:14<28:28,  1.11s/it]
overall:  49%|████▉     | 1971/4000 [40:17<38:19,  1.13s/it]

train:  56%|█████▌    | 1971/3515 [40:16<29:09,  1.13s/it]
overall:  49%|████▉     | 1972/4000 [40:19<39:20,  1.16s/it]

train:  56%|█████▌    | 1972/3515 [40:17<29:56,  1.16s/it]
overall:  49%|████▉     | 1973/4000 [40:20<40:33,  1.20s/it]

train:  56%|█████▌    | 1973/3515 [40:18<30:50,  1.20s/it]
overall:  49%|████▉     | 1974/4000 [40:21<40:49,  1.21s/it]

train:  56%|█████▌    | 1974/3515 [40:19<31:02,  1.21s/it]
overall:  49%|████▉     | 1975/4000 [40:22<32:58,  1.02it/s]

train:  56%|█████▌    | 1975/3515 [40:20<25:04,  1.02it/s]
overall:  49%|████▉     | 1976/4000 [40:23<35:38,  1.06s/it]

train:  56%|█████▌    | 1976/3515 [40:21<27:05,  1.06s/it]
overall:  49%|████▉     | 1977/4000 [40:24<37:31,  1.11s/it]

train:  56%|█████▌    | 1977/3515 [40:22<28:31,  1.11s/it]
overall:  49%|████▉     | 1978/4000 [40:25<38:08,  1.13s/it]

train:  56%|█████▋    | 1978/3515 [40:23<28:59,  1.13s/it]
overall:  49%|████▉     | 1979/4000 [40:27<39:05,  1.16s/it]

train:  56%|█████▋    | 1979/3515 [40:25<29:42,  1.16s/it]
overall:  50%|████▉     | 1980/4000 [40:28<39:09,  1.16s/it]

train:  56%|█████▋    | 1980/3515 [40:26<29:45,  1.16s/it]
overall:  50%|████▉     | 1981/4000 [40:29<38:17,  1.14s/it]

train:  56%|█████▋    | 1981/3515 [40:27<29:05,  1.14s/it]
overall:  50%|████▉     | 1982/4000 [40:30<39:15,  1.17s/it]

train:  56%|█████▋    | 1982/3515 [40:28<29:49,  1.17s/it]
overall:  50%|████▉     | 1983/4000 [40:31<40:39,  1.21s/it]

train:  56%|█████▋    | 1983/3515 [40:29<30:52,  1.21s/it]
overall:  50%|████▉     | 1984/4000 [40:33<41:26,  1.23s/it]

train:  56%|█████▋    | 1984/3515 [40:31<31:28,  1.23s/it]
overall:  50%|████▉     | 1985/4000 [40:34<41:26,  1.23s/it]

train:  56%|█████▋    | 1985/3515 [40:32<31:27,  1.23s/it]
overall:  50%|████▉     | 1986/4000 [40:35<41:49,  1.25s/it]

train:  57%|█████▋    | 1986/3515 [40:33<31:45,  1.25s/it]
overall:  50%|████▉     | 1987/4000 [40:36<41:33,  1.24s/it]

train:  57%|█████▋    | 1987/3515 [40:34<31:32,  1.24s/it]
overall:  50%|████▉     | 1988/4000 [40:38<43:51,  1.31s/it]

train:  57%|█████▋    | 1988/3515 [40:36<33:16,  1.31s/it]
overall:  50%|████▉     | 1989/4000 [40:39<43:27,  1.30s/it]

train:  57%|█████▋    | 1989/3515 [40:37<32:59,  1.30s/it]
overall:  50%|████▉     | 1990/4000 [40:40<42:27,  1.27s/it]

train:  57%|█████▋    | 1990/3515 [40:38<32:12,  1.27s/it]
overall:  50%|████▉     | 1991/4000 [40:41<41:58,  1.25s/it]

train:  57%|█████▋    | 1991/3515 [40:40<31:50,  1.25s/it]
overall:  50%|████▉     | 1992/4000 [40:43<42:03,  1.26s/it]

train:  57%|█████▋    | 1992/3515 [40:41<31:54,  1.26s/it]
overall:  50%|████▉     | 1993/4000 [40:44<42:22,  1.27s/it]

train:  57%|█████▋    | 1993/3515 [40:42<32:08,  1.27s/it]
overall:  50%|████▉     | 1994/4000 [40:45<40:01,  1.20s/it]

train:  57%|█████▋    | 1994/3515 [40:43<30:20,  1.20s/it]
overall:  50%|████▉     | 1995/4000 [40:46<39:34,  1.18s/it]

train:  57%|█████▋    | 1995/3515 [40:44<29:59,  1.18s/it]
overall:  50%|████▉     | 1996/4000 [40:47<39:35,  1.19s/it]

train:  57%|█████▋    | 1996/3515 [40:46<30:00,  1.19s/it]
overall:  50%|████▉     | 1997/4000 [40:49<40:37,  1.22s/it]

train:  57%|█████▋    | 1997/3515 [40:47<30:47,  1.22s/it]
overall:  50%|████▉     | 1998/4000 [40:50<40:59,  1.23s/it]

train:  57%|█████▋    | 1998/3515 [40:48<31:03,  1.23s/it]
overall:  50%|████▉     | 1999/4000 [40:51<40:38,  1.22s/it]

train:  57%|█████▋    | 1999/3515 [40:49<30:47,  1.22s/it]dev loss: 12.190896034240723
dev per: 0.8385587929240375
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 12.418288230895996
train per: 0.8971739130434783
train loss: 10.6232271194458
train per: 0.8420318578873963
train loss: 9.067212104797363
train per: 0.804140625
train loss: 8.387322425842285
train per: 0.8560386203817391
train loss: 7.42471981048584
train per: 0.8416292866444798
train loss: 8.067340850830078
train per: 0.7940843381520218
train loss: 7.0147385597229
train per: 0.7454848841774637
train loss: 8.686433792114258
train per: 0.8551297701820498
train loss: 10.110508918762207
train per: 0.7841464424749441
train loss: 9.587194442749023
train per: 0.7756773616121071
train loss: 7.7440996170043945
train per: 0.7506487500321163
train loss: 6.50332498550415
train per: 0.7519433614771939
train loss: 5.555721282958984
train per: 0.7392546759871529
train loss: 6.419057369232178
train per: 0.818208023060293
train loss: 6.5052618980407715
train per: 0.7576768554848108
train loss: 8.316853523254395
train per: 0.7872373300370828
train loss: 9.408286094665527
train per: 0.767547043386007
train loss: 6.88543701171875
train per: 0.7382188346711909
train loss: 5.474705696105957
train per: 0.7191392978482446
train loss: 5.312930107116699
train per: 0.7357721616668275
train loss: 6.459602355957031
train per: 0.7693836502083233
train loss: 9.077667236328125
train per: 0.7966257886155809
train loss: 6.660111904144287
train per: 0.721749217028187
train loss: 5.19267463684082
train per: 0.7238689547581904
train loss: 6.686861515045166
train per: 0.7689788451892722
train loss: 6.439650535583496
train per: 0.759476404709486
train loss: 8.5524263381958
train per: 0.773161567364466
train loss: 6.5417160987854
train per: 0.7433390307661372
train loss: 6.290849208831787
train per: 0.7299015302112709
train loss: 7.50323486328125
train per: 0.7788172317104257
train loss: 6.359469413757324
train per: 0.7368901256814397
train loss: 8.67995548248291
train per: 0.8555763004277646
train loss: 8.337007522583008
train per: 0.7828841313385559
train loss: 5.327997207641602
train per: 0.6974740903584727
train loss: 5.534334659576416
train per: 0.7357638077432422
train loss: 6.272835731506348
train per: 0.7305738891478765
train loss: 7.378243446350098
train per: 0.7582815734989649
train loss: 6.767998695373535
train per: 0.7234181343770385
train loss: 8.886529922485352
train per: 0.7916958866345851
train loss: 8.20795726776123
train per: 0.7195598595932187
train loss: 8.345475196838379
train per: 0.7223415549465472
train loss: 6.901605129241943
train per: 0.7293373326947798
train loss: 7.2237043380737305
train per: 0.7146932239015114
train loss: 7.840892791748047
train per: 0.7405851645016389
train loss: 7.495326042175293
train per: 0.7460273904258239
train loss: 8.216252326965332
train per: 0.8017605177993528
train loss: 7.542433261871338
train per: 0.7222143731750965
train loss: 7.960101127624512
train per: 0.7682493845862526
train loss: 6.041777610778809
train per: 0.7213127046414557
train loss: 6.093293190002441
train per: 0.7389471775929661
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 583/2703 [00:00<00:00, 5810.31it/s]


word -> phonemes:  43%|████▎     | 1165/2703 [00:00<00:00, 5807.98it/s]


word -> phonemes:  65%|██████▍   | 1746/2703 [00:00<00:00, 5353.12it/s]


word -> phonemes:  86%|████████▌ | 2322/2703 [00:00<00:00, 5502.38it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5526.09it/s]



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


dev:   0%|          | 1/2703 [00:01<55:22,  1.23s/it]


dev:   0%|          | 2/2703 [00:01<28:40,  1.57it/s]


dev:   0%|          | 3/2703 [00:01<20:24,  2.21it/s]


dev:   0%|          | 4/2703 [00:01<16:02,  2.80it/s]


dev:   0%|          | 5/2703 [00:02<13:45,  3.27it/s]


dev:   0%|          | 6/2703 [00:02<12:30,  3.59it/s]


dev:   0%|          | 7/2703 [00:02<11:51,  3.79it/s]


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overall:  74%|███████▍  | 2968/4000 [1:01:59<20:11,  1.17s/it]

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train:  85%|████████▌ | 2995/3515 [1:02:27<09:24,  1.09s/it]
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train:  85%|████████▌ | 2996/3515 [1:02:28<10:39,  1.23s/it]
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train:  85%|████████▌ | 2997/3515 [1:02:29<10:40,  1.24s/it]
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train:  85%|████████▌ | 2999/3515 [1:02:32<09:57,  1.16s/it]dev loss: 8.265746116638184
dev per: 0.6835483870967742
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.164441108703613
train per: 0.7236157356024171
train loss: 7.006497383117676
train per: 0.7301563991482488
train loss: 5.565285682678223
train per: 0.670461946689181
train loss: 12.933964729309082
train per: 0.7787195398819434
train loss: 8.226405143737793
train per: 0.7410276718974308
train loss: 9.807312965393066
train per: 0.7594224381673941
train loss: 16.445005416870117
train per: 0.9800914319421914
train loss: 8.498602867126465
train per: 0.7039162805707305
train loss: 13.537931442260742
train per: 0.8539678762641285
train loss: 7.45467472076416
train per: 0.7056933862950663
train loss: 6.051332950592041
train per: 0.7231838819523269
train loss: 6.746864318847656
train per: 0.7584910201257483
train loss: 16.73813247680664
train per: 0.9843816378039333
train loss: 12.954931259155273
train per: 0.7699936798094219
train loss: 10.172256469726562
train per: 0.7441662408448305
train loss: 7.411811828613281
train per: 0.6972724156505558
train loss: 8.51315975189209
train per: 0.7612565445026178
train loss: 10.805574417114258
train per: 0.8115551521683637
train loss: 7.297935485839844
train per: 0.6897277992719947
train loss: 8.888181686401367
train per: 0.7778677392394484
train loss: 6.328524589538574
train per: 0.7005139154398073
train loss: 6.008307456970215
train per: 0.6980392156862745
train loss: 8.032629013061523
train per: 0.7672952983424101
train loss: 9.193750381469727
train per: 0.7720757388072907
train loss: 10.494599342346191
train per: 0.8473873455895146
train loss: 9.742899894714355
train per: 0.7421744444167311
train loss: 8.509435653686523
train per: 0.7402978282304755
train loss: 6.950697422027588
train per: 0.6909819242847605
train loss: 5.041879177093506
train per: 0.6892358679923447
train loss: 6.571498870849609
train per: 0.7694198019315361
train loss: 5.979882717132568
train per: 0.7199526627218935
train loss: 6.592825889587402
train per: 0.7162887672660933
train loss: 7.446146488189697
train per: 0.7436429170987015
train loss: 9.18652057647705
train per: 0.8160176572599717
train loss: 7.729621887207031
train per: 0.7093679005746358
train loss: 7.204460144042969
train per: 0.7158207835360951
train loss: 5.801101207733154
train per: 0.6869130412711305
train loss: 9.126585006713867
train per: 0.774128703824566
train loss: 9.160877227783203
train per: 0.742923922535573
train loss: 7.581751823425293
train per: 0.7073466027410529
train loss: 5.670770645141602
train per: 0.6789028123206429
train loss: 6.865759372711182
train per: 0.7261951181470795
train loss: 8.03164291381836
train per: 0.7518142609953256
train loss: 7.419125556945801
train per: 0.7271378177837247
train loss: 8.04074478149414
train per: 0.7877986190110849
train loss: 7.335707664489746
train per: 0.6979368149580916
train loss: 8.00196361541748
train per: 0.7469775693828412
train loss: 7.8747663497924805
train per: 0.7398148369656228
train loss: 8.105334281921387
train per: 0.7271684013877769
train loss: 6.179502010345459
train per: 0.6772035180631738
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 568/2703 [00:00<00:00, 5679.73it/s]


word -> phonemes:  43%|████▎     | 1154/2703 [00:00<00:00, 5784.22it/s]


word -> phonemes:  64%|██████▍   | 1741/2703 [00:00<00:00, 5821.68it/s]


word -> phonemes:  86%|████████▌ | 2324/2703 [00:00<00:00, 5767.98it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5677.91it/s]



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overall:  88%|████████▊ | 3515/4000 [1:15:14<09:26,  1.17s/it]

train: 100%|██████████| 3515/3515 [1:15:12<00:00,  1.17s/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 [1:15:12<00:00,  1.28s/it]
dev loss: 6.670754909515381
dev per: 0.7360613943808533
train loss: 7.369675636291504
train per: 0.7112917626051407
train loss: 9.899417877197266
train per: 0.7987195722527086
train loss: 7.099133491516113
train per: 0.704124271111216
train loss: 6.917260646820068
train per: 0.720875897894763
train loss: 10.24594783782959
train per: 0.7312466116928695
train loss: 8.932303428649902
train per: 0.7043224329799269
train loss: 11.130361557006836
train per: 0.7358973667897475
train loss: 7.124581813812256
train per: 0.6702527981474334
train loss: 6.425590515136719
train per: 0.6880955405920468
train loss: 7.812687873840332
train per: 0.753437807482781
train loss: 7.086612701416016
train per: 0.7353351037257119
train loss: 5.544486045837402
train per: 0.6809215194663891
train loss: 7.137660980224609
train per: 0.7671790569715512
train loss: 8.3189697265625
train per: 0.7469531287634279
train loss: 7.0979814529418945
train per: 0.690760934691432
train loss: 11.116308212280273
train per: 0.825704713202509
train loss: 8.138227462768555
train per: 0.7257388769980418
train loss: 8.795350074768066
train per: 0.7383846835318437
train loss: 9.544780731201172
train per: 0.730851593625498
train loss: 8.23801326751709
train per: 0.766259453170448
train loss: 9.151065826416016
train per: 0.7469463621879979
train loss: 15.90503978729248
train per: 0.8293592646862928
train loss: 13.756779670715332
train per: 0.7548374276559279
train loss: 8.034063339233398
train per: 0.6684479309255554
train loss: 6.6855878829956055
train per: 0.6817015373945209
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 371/3515 [00:00<00:00, 3707.17it/s]

word -> phonemes:  21%|██        | 742/3515 [00:00<00:00, 3668.13it/s]

word -> phonemes:  33%|███▎      | 1163/3515 [00:00<00:00, 3911.32it/s]

word -> phonemes:  45%|████▍     | 1569/3515 [00:00<00:00, 3969.15it/s]

word -> phonemes:  56%|█████▌    | 1967/3515 [00:00<00:00, 3845.98it/s]

word -> phonemes:  67%|██████▋   | 2353/3515 [00:00<00:00, 3733.80it/s]

word -> phonemes:  78%|███████▊  | 2735/3515 [00:00<00:00, 3749.89it/s]

word -> phonemes:  89%|████████▊ | 3111/3515 [00:00<00:00, 3733.85it/s]

word -> phonemes:  99%|█████████▉| 3485/3515 [00:00<00:00, 3498.80it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3690.89it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3526/4000 [1:15:31<09:20,  1.18s/it]

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overall:  88%|████████▊ | 3527/4000 [1:15:32<09:12,  1.17s/it]

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overall:  88%|████████▊ | 3528/4000 [1:15:33<09:29,  1.21s/it]

train:   0%|          | 13/3515 [00:16<1:09:54,  1.20s/it]
overall:  88%|████████▊ | 3529/4000 [1:15:34<09:22,  1.19s/it]

train:   0%|          | 14/3515 [00:17<1:09:20,  1.19s/it]
overall:  88%|████████▊ | 3530/4000 [1:15:35<09:33,  1.22s/it]

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overall:  88%|████████▊ | 3533/4000 [1:15:39<09:34,  1.23s/it]

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overall:  88%|████████▊ | 3535/4000 [1:15:42<09:43,  1.25s/it]

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overall:  88%|████████▊ | 3536/4000 [1:15:43<09:48,  1.27s/it]

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overall:  88%|████████▊ | 3537/4000 [1:15:44<09:51,  1.28s/it]

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overall:  88%|████████▊ | 3540/4000 [1:15:48<09:53,  1.29s/it]

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overall:  89%|████████▊ | 3541/4000 [1:15:49<09:42,  1.27s/it]

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overall:  89%|████████▊ | 3543/4000 [1:15:52<09:36,  1.26s/it]

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overall:  89%|████████▊ | 3544/4000 [1:15:53<09:13,  1.21s/it]

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overall:  89%|████████▊ | 3546/4000 [1:15:55<09:07,  1.21s/it]

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overall:  89%|████████▊ | 3547/4000 [1:15:56<07:20,  1.03it/s]

train:   1%|          | 32/3515 [00:39<56:24,  1.03it/s]  
overall:  89%|████████▊ | 3548/4000 [1:15:57<08:03,  1.07s/it]

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overall:  89%|████████▊ | 3549/4000 [1:15:58<08:32,  1.14s/it]

train:   1%|          | 34/3515 [00:42<1:05:55,  1.14s/it]
overall:  89%|████████▉ | 3550/4000 [1:16:00<08:42,  1.16s/it]

train:   1%|          | 35/3515 [00:43<1:07:19,  1.16s/it]
overall:  89%|████████▉ | 3551/4000 [1:16:01<08:41,  1.16s/it]

train:   1%|          | 36/3515 [00:44<1:07:22,  1.16s/it]
overall:  89%|████████▉ | 3552/4000 [1:16:02<08:54,  1.19s/it]

train:   1%|          | 37/3515 [00:45<1:09:10,  1.19s/it]
overall:  89%|████████▉ | 3553/4000 [1:16:03<08:51,  1.19s/it]

train:   1%|          | 38/3515 [00:46<1:08:55,  1.19s/it]
overall:  89%|████████▉ | 3554/4000 [1:16:05<09:18,  1.25s/it]

train:   1%|          | 39/3515 [00:48<1:12:31,  1.25s/it]
overall:  89%|████████▉ | 3555/4000 [1:16:06<09:22,  1.26s/it]

train:   1%|          | 40/3515 [00:49<1:13:15,  1.26s/it]
overall:  89%|████████▉ | 3556/4000 [1:16:07<09:19,  1.26s/it]

train:   1%|          | 41/3515 [00:50<1:12:55,  1.26s/it]
overall:  89%|████████▉ | 3557/4000 [1:16:08<09:10,  1.24s/it]

train:   1%|          | 42/3515 [00:52<1:11:58,  1.24s/it]
overall:  89%|████████▉ | 3558/4000 [1:16:09<08:40,  1.18s/it]

train:   1%|          | 43/3515 [00:53<1:08:06,  1.18s/it]
overall:  89%|████████▉ | 3559/4000 [1:16:11<08:38,  1.17s/it]

train:   1%|▏         | 44/3515 [00:54<1:07:57,  1.17s/it]
overall:  89%|████████▉ | 3560/4000 [1:16:12<08:53,  1.21s/it]

train:   1%|▏         | 45/3515 [00:55<1:10:07,  1.21s/it]
overall:  89%|████████▉ | 3561/4000 [1:16:13<08:54,  1.22s/it]

train:   1%|▏         | 46/3515 [00:56<1:10:20,  1.22s/it]
overall:  89%|████████▉ | 3562/4000 [1:16:14<07:34,  1.04s/it]

train:   1%|▏         | 47/3515 [00:57<59:58,  1.04s/it]  
overall:  89%|████████▉ | 3563/4000 [1:16:15<07:11,  1.01it/s]

train:   1%|▏         | 48/3515 [00:58<57:05,  1.01it/s]
overall:  89%|████████▉ | 3564/4000 [1:16:16<07:55,  1.09s/it]

train:   1%|▏         | 49/3515 [00:59<1:03:02,  1.09s/it]
overall:  89%|████████▉ | 3565/4000 [1:16:17<08:14,  1.14s/it]

train:   1%|▏         | 50/3515 [01:00<1:05:41,  1.14s/it]
overall:  89%|████████▉ | 3566/4000 [1:16:18<08:25,  1.17s/it]

train:   1%|▏         | 51/3515 [01:02<1:07:17,  1.17s/it]
overall:  89%|████████▉ | 3567/4000 [1:16:20<08:47,  1.22s/it]

train:   1%|▏         | 52/3515 [01:03<1:10:20,  1.22s/it]
overall:  89%|████████▉ | 3568/4000 [1:16:21<08:36,  1.19s/it]

train:   2%|▏         | 53/3515 [01:04<1:08:56,  1.19s/it]
overall:  89%|████████▉ | 3569/4000 [1:16:22<08:41,  1.21s/it]

train:   2%|▏         | 54/3515 [01:05<1:09:45,  1.21s/it]
overall:  89%|████████▉ | 3570/4000 [1:16:23<08:30,  1.19s/it]

train:   2%|▏         | 55/3515 [01:07<1:08:25,  1.19s/it]
overall:  89%|████████▉ | 3571/4000 [1:16:25<08:42,  1.22s/it]

train:   2%|▏         | 56/3515 [01:08<1:10:15,  1.22s/it]
overall:  89%|████████▉ | 3572/4000 [1:16:26<08:53,  1.25s/it]

train:   2%|▏         | 57/3515 [01:09<1:11:52,  1.25s/it]
overall:  89%|████████▉ | 3573/4000 [1:16:27<08:58,  1.26s/it]

train:   2%|▏         | 58/3515 [01:10<1:12:43,  1.26s/it]
overall:  89%|████████▉ | 3574/4000 [1:16:29<09:02,  1.27s/it]

train:   2%|▏         | 59/3515 [01:12<1:13:22,  1.27s/it]
overall:  89%|████████▉ | 3575/4000 [1:16:30<09:04,  1.28s/it]

train:   2%|▏         | 60/3515 [01:13<1:13:45,  1.28s/it]
overall:  89%|████████▉ | 3576/4000 [1:16:31<09:04,  1.28s/it]

train:   2%|▏         | 61/3515 [01:14<1:13:58,  1.28s/it]
overall:  89%|████████▉ | 3577/4000 [1:16:32<08:56,  1.27s/it]

train:   2%|▏         | 62/3515 [01:16<1:13:00,  1.27s/it]
overall:  89%|████████▉ | 3578/4000 [1:16:34<09:00,  1.28s/it]

train:   2%|▏         | 63/3515 [01:17<1:13:37,  1.28s/it]
overall:  89%|████████▉ | 3579/4000 [1:16:35<09:00,  1.28s/it]

train:   2%|▏         | 64/3515 [01:18<1:13:52,  1.28s/it]
overall:  90%|████████▉ | 3580/4000 [1:16:36<08:48,  1.26s/it]

train:   2%|▏         | 65/3515 [01:19<1:12:24,  1.26s/it]
overall:  90%|████████▉ | 3581/4000 [1:16:37<08:29,  1.22s/it]

train:   2%|▏         | 66/3515 [01:20<1:09:54,  1.22s/it]
overall:  90%|████████▉ | 3582/4000 [1:16:38<08:29,  1.22s/it]

train:   2%|▏         | 67/3515 [01:22<1:10:04,  1.22s/it]
overall:  90%|████████▉ | 3583/4000 [1:16:40<08:38,  1.24s/it]

train:   2%|▏         | 68/3515 [01:23<1:11:28,  1.24s/it]
overall:  90%|████████▉ | 3584/4000 [1:16:41<08:28,  1.22s/it]

train:   2%|▏         | 69/3515 [01:24<1:10:12,  1.22s/it]
overall:  90%|████████▉ | 3585/4000 [1:16:42<07:43,  1.12s/it]

train:   2%|▏         | 70/3515 [01:25<1:04:03,  1.12s/it]
overall:  90%|████████▉ | 3586/4000 [1:16:43<07:39,  1.11s/it]

train:   2%|▏         | 71/3515 [01:26<1:03:46,  1.11s/it]
overall:  90%|████████▉ | 3587/4000 [1:16:44<08:02,  1.17s/it]

train:   2%|▏         | 72/3515 [01:27<1:07:05,  1.17s/it]
overall:  90%|████████▉ | 3588/4000 [1:16:46<08:20,  1.21s/it]

train:   2%|▏         | 73/3515 [01:29<1:09:41,  1.21s/it]
overall:  90%|████████▉ | 3589/4000 [1:16:47<08:23,  1.22s/it]

train:   2%|▏         | 74/3515 [01:30<1:10:14,  1.22s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:48<08:45,  1.28s/it]

train:   2%|▏         | 75/3515 [01:31<1:13:26,  1.28s/it]
overall:  90%|████████▉ | 3591/4000 [1:16:50<08:51,  1.30s/it]

train:   2%|▏         | 76/3515 [01:33<1:14:32,  1.30s/it]
overall:  90%|████████▉ | 3592/4000 [1:16:51<08:37,  1.27s/it]

train:   2%|▏         | 77/3515 [01:34<1:12:44,  1.27s/it]
overall:  90%|████████▉ | 3593/4000 [1:16:52<08:40,  1.28s/it]

train:   2%|▏         | 78/3515 [01:35<1:13:19,  1.28s/it]
overall:  90%|████████▉ | 3594/4000 [1:16:53<08:19,  1.23s/it]

train:   2%|▏         | 79/3515 [01:36<1:10:28,  1.23s/it]
overall:  90%|████████▉ | 3595/4000 [1:16:54<08:06,  1.20s/it]

train:   2%|▏         | 80/3515 [01:38<1:08:44,  1.20s/it]
overall:  90%|████████▉ | 3596/4000 [1:16:55<08:00,  1.19s/it]

train:   2%|▏         | 81/3515 [01:39<1:08:08,  1.19s/it]
overall:  90%|████████▉ | 3597/4000 [1:16:57<08:12,  1.22s/it]

train:   2%|▏         | 82/3515 [01:40<1:09:52,  1.22s/it]
overall:  90%|████████▉ | 3598/4000 [1:16:58<08:20,  1.25s/it]

train:   2%|▏         | 83/3515 [01:41<1:11:14,  1.25s/it]
overall:  90%|████████▉ | 3599/4000 [1:16:59<08:25,  1.26s/it]

train:   2%|▏         | 84/3515 [01:43<1:12:07,  1.26s/it]
overall:  90%|█████████ | 3600/4000 [1:17:01<08:38,  1.30s/it]

train:   2%|▏         | 85/3515 [01:44<1:14:02,  1.30s/it]
overall:  90%|█████████ | 3601/4000 [1:17:02<08:31,  1.28s/it]

train:   2%|▏         | 86/3515 [01:45<1:13:16,  1.28s/it]
overall:  90%|█████████ | 3602/4000 [1:17:03<08:26,  1.27s/it]

train:   2%|▏         | 87/3515 [01:46<1:12:40,  1.27s/it]
overall:  90%|█████████ | 3603/4000 [1:17:05<08:27,  1.28s/it]

train:   3%|▎         | 88/3515 [01:48<1:13:01,  1.28s/it]
overall:  90%|█████████ | 3604/4000 [1:17:06<08:08,  1.23s/it]

train:   3%|▎         | 89/3515 [01:49<1:10:23,  1.23s/it]
overall:  90%|█████████ | 3605/4000 [1:17:07<08:00,  1.22s/it]

train:   3%|▎         | 90/3515 [01:50<1:09:24,  1.22s/it]
overall:  90%|█████████ | 3606/4000 [1:17:08<07:54,  1.20s/it]

train:   3%|▎         | 91/3515 [01:51<1:08:41,  1.20s/it]
overall:  90%|█████████ | 3607/4000 [1:17:09<07:56,  1.21s/it]

train:   3%|▎         | 92/3515 [01:52<1:09:11,  1.21s/it]
overall:  90%|█████████ | 3608/4000 [1:17:11<08:06,  1.24s/it]

train:   3%|▎         | 93/3515 [01:54<1:10:47,  1.24s/it]
overall:  90%|█████████ | 3609/4000 [1:17:11<06:24,  1.02it/s]

train:   3%|▎         | 94/3515 [01:54<56:08,  1.02it/s]  
overall:  90%|█████████ | 3610/4000 [1:17:12<06:22,  1.02it/s]

train:   3%|▎         | 95/3515 [01:55<55:52,  1.02it/s]
overall:  90%|█████████ | 3611/4000 [1:17:13<06:42,  1.03s/it]

train:   3%|▎         | 96/3515 [01:56<58:56,  1.03s/it]
overall:  90%|█████████ | 3612/4000 [1:17:14<06:54,  1.07s/it]

train:   3%|▎         | 97/3515 [01:57<1:00:50,  1.07s/it]
overall:  90%|█████████ | 3613/4000 [1:17:15<06:59,  1.08s/it]

train:   3%|▎         | 98/3515 [01:59<1:01:43,  1.08s/it]
overall:  90%|█████████ | 3614/4000 [1:17:17<07:17,  1.13s/it]

train:   3%|▎         | 99/3515 [02:00<1:04:28,  1.13s/it]
overall:  90%|█████████ | 3615/4000 [1:17:18<07:28,  1.17s/it]

train:   3%|▎         | 100/3515 [02:01<1:06:20,  1.17s/it]
overall:  90%|█████████ | 3616/4000 [1:17:19<07:36,  1.19s/it]

train:   3%|▎         | 101/3515 [02:02<1:07:42,  1.19s/it]
overall:  90%|█████████ | 3617/4000 [1:17:20<07:40,  1.20s/it]

train:   3%|▎         | 102/3515 [02:04<1:08:26,  1.20s/it]
overall:  90%|█████████ | 3618/4000 [1:17:22<07:49,  1.23s/it]

train:   3%|▎         | 103/3515 [02:05<1:09:53,  1.23s/it]
overall:  90%|█████████ | 3619/4000 [1:17:22<06:38,  1.05s/it]

train:   3%|▎         | 104/3515 [02:05<59:27,  1.05s/it]  
overall:  90%|█████████ | 3620/4000 [1:17:23<05:43,  1.11it/s]

train:   3%|▎         | 105/3515 [02:06<51:22,  1.11it/s]
overall:  91%|█████████ | 3621/4000 [1:17:23<04:29,  1.41it/s]

train:   3%|▎         | 106/3515 [02:06<40:24,  1.41it/s]
overall:  91%|█████████ | 3622/4000 [1:17:24<05:26,  1.16it/s]

train:   3%|▎         | 107/3515 [02:07<49:06,  1.16it/s]
overall:  91%|█████████ | 3623/4000 [1:17:26<06:17,  1.00s/it]

train:   3%|▎         | 108/3515 [02:09<56:51,  1.00s/it]
overall:  91%|█████████ | 3624/4000 [1:17:27<06:35,  1.05s/it]

train:   3%|▎         | 109/3515 [02:10<59:41,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:17:27<05:25,  1.15it/s]

train:   3%|▎         | 110/3515 [02:10<49:15,  1.15it/s]
overall:  91%|█████████ | 3626/4000 [1:17:29<06:22,  1.02s/it]

train:   3%|▎         | 111/3515 [02:12<58:01,  1.02s/it]
overall:  91%|█████████ | 3627/4000 [1:17:30<06:43,  1.08s/it]

train:   3%|▎         | 112/3515 [02:13<1:01:16,  1.08s/it]
overall:  91%|█████████ | 3628/4000 [1:17:31<07:06,  1.15s/it]

train:   3%|▎         | 113/3515 [02:14<1:05:01,  1.15s/it]
overall:  91%|█████████ | 3629/4000 [1:17:32<07:13,  1.17s/it]

train:   3%|▎         | 114/3515 [02:16<1:06:16,  1.17s/it]
overall:  91%|█████████ | 3630/4000 [1:17:33<05:35,  1.10it/s]

train:   3%|▎         | 115/3515 [02:16<51:21,  1.10it/s]  
overall:  91%|█████████ | 3631/4000 [1:17:34<06:10,  1.01s/it]

train:   3%|▎         | 116/3515 [02:17<56:56,  1.01s/it]
overall:  91%|█████████ | 3632/4000 [1:17:35<06:33,  1.07s/it]

train:   3%|▎         | 117/3515 [02:18<1:00:33,  1.07s/it]
overall:  91%|█████████ | 3633/4000 [1:17:36<06:18,  1.03s/it]

train:   3%|▎         | 118/3515 [02:19<58:20,  1.03s/it]  
overall:  91%|█████████ | 3634/4000 [1:17:37<06:38,  1.09s/it]

train:   3%|▎         | 119/3515 [02:20<1:01:33,  1.09s/it]
overall:  91%|█████████ | 3635/4000 [1:17:38<06:26,  1.06s/it]

train:   3%|▎         | 120/3515 [02:21<59:52,  1.06s/it]  
overall:  91%|█████████ | 3636/4000 [1:17:39<06:49,  1.12s/it]

train:   3%|▎         | 121/3515 [02:23<1:03:35,  1.12s/it]
overall:  91%|█████████ | 3637/4000 [1:17:40<06:35,  1.09s/it]

train:   3%|▎         | 122/3515 [02:24<1:01:41,  1.09s/it]
overall:  91%|█████████ | 3638/4000 [1:17:42<06:55,  1.15s/it]

train:   3%|▎         | 123/3515 [02:25<1:04:51,  1.15s/it]
overall:  91%|█████████ | 3639/4000 [1:17:43<07:17,  1.21s/it]

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train:  14%|█▍        | 484/3515 [09:22<56:43,  1.12s/it]train loss: 8.183852195739746
train per: 0.7226228247283915
train loss: 7.312830448150635
train per: 0.6887947945074399
train loss: 6.109309673309326
train per: 0.6821128513639664
train loss: 5.9213666915893555
train per: 0.7039666468135796
train loss: 5.945610523223877
train per: 0.6890073400908773
train loss: 6.6933183670043945
train per: 0.6901153344165357
train loss: 12.575345039367676
train per: 0.8512032688582876
train loss: 9.570795059204102
train per: 0.7645408102079486
train loss: 9.453713417053223
train per: 0.752956465237167
train loss: 7.202431678771973
train per: 0.688322211630124
train loss: 12.636823654174805
train per: 0.8173498086587672
train loss: 8.015149116516113
train per: 0.7346181046676096
train loss: 7.175207614898682
train per: 0.7024770316227603
train loss: 6.320453643798828
train per: 0.6958362398672215
train loss: 10.081892013549805
train per: 0.8245575112162895
train loss: 10.63087272644043
train per: 0.7475786058495157
train loss: 8.990316390991211
train per: 0.68863361547763
train loss: 8.970186233520508
train per: 0.7028153838946924
train loss: 9.95130729675293
train per: 0.7467226295276771
train loss: 8.583677291870117
train per: 0.6744511435040321
train loss: 10.72705364227295
train per: 0.7465539238986316
train loss: 10.35334300994873
train per: 0.7548999591670069
train loss: 7.734978675842285
train per: 0.6724505169099694
train loss: 5.779348373413086
train per: 0.6641221374045801
train loss: 4.860129356384277
train per: 0.6466245826377296
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 555/2703 [00:00<00:00, 5542.37it/s]


word -> phonemes:  42%|████▏     | 1126/2703 [00:00<00:00, 5636.55it/s]


word -> phonemes:  63%|██████▎   | 1690/2703 [00:00<00:00, 5615.13it/s]


word -> phonemes:  84%|████████▍ | 2274/2703 [00:00<00:00, 5702.95it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5553.11it/s]



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overall: 100%|█████████▉| 3999/4000 [1:27:31<00:01,  1.12s/it]

train:  14%|█▍        | 484/3515 [12:14<56:43,  1.12s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:27:31<00:01,  1.12s/it]

train:  14%|█▍        | 484/3515 [12:14<56:43,  1.12s/it]
overall: 100%|██████████| 4000/4000 [1:27:31<00:00, 52.44s/it]

train:  14%|█▍        | 485/3515 [12:14<44:08:17, 52.44s/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 [12:14<1:16:31,  1.52s/it] 

overall: 100%|██████████| 4000/4000 [1:27:31<00:00,  1.31s/it]
dev loss: 5.623294830322266
dev per: 0.7348387096774194
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt