/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_g', 'encoder.pos_conv_embed.conv.weight_v']
- 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:  14%|█▎        | 477/3515 [00:00<00:00, 4767.07it/s]

word -> phonemes:  28%|██▊       | 983/3515 [00:00<00:00, 4937.51it/s]

word -> phonemes:  42%|████▏     | 1488/3515 [00:00<00:00, 4985.41it/s]

word -> phonemes:  57%|█████▋    | 1987/3515 [00:00<00:00, 4882.92it/s]

word -> phonemes:  70%|███████   | 2476/3515 [00:00<00:00, 4806.45it/s]

word -> phonemes:  84%|████████▍ | 2959/3515 [00:00<00:00, 4813.37it/s]

word -> phonemes:  98%|█████████▊| 3441/3515 [00:00<00:00, 4724.95it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4753.33it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:51:58,  4.38s/it]

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overall:   0%|          | 2/4000 [00:05<2:45:41,  2.49s/it]

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overall:   0%|          | 3/4000 [00:06<2:08:17,  1.93s/it]

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overall:   0%|          | 5/4000 [00:09<1:39:06,  1.49s/it]

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overall:   0%|          | 7/4000 [00:11<1:32:56,  1.40s/it]

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overall:   0%|          | 8/4000 [00:13<1:28:34,  1.33s/it]

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overall:   0%|          | 9/4000 [00:14<1:26:03,  1.29s/it]

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overall:   0%|          | 15/4000 [00:19<1:09:17,  1.04s/it]

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overall:   0%|          | 16/4000 [00:20<1:12:47,  1.10s/it]

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overall:   0%|          | 17/4000 [00:21<1:13:42,  1.11s/it]

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overall:   0%|          | 18/4000 [00:23<1:18:06,  1.18s/it]

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overall:   0%|          | 20/4000 [00:24<1:08:33,  1.03s/it]

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overall:   1%|          | 21/4000 [00:26<1:13:15,  1.10s/it]

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overall:   1%|          | 22/4000 [00:27<1:16:35,  1.16s/it]

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overall:   1%|          | 23/4000 [00:28<1:18:40,  1.19s/it]

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overall:   1%|          | 24/4000 [00:29<1:17:08,  1.16s/it]

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overall:   1%|          | 25/4000 [00:30<1:16:35,  1.16s/it]

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overall:   1%|          | 26/4000 [00:32<1:17:41,  1.17s/it]

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overall:   1%|          | 27/4000 [00:33<1:19:57,  1.21s/it]

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overall:   1%|          | 28/4000 [00:34<1:18:22,  1.18s/it]

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overall:   1%|          | 29/4000 [00:35<1:18:06,  1.18s/it]

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overall:   1%|          | 30/4000 [00:37<1:21:43,  1.24s/it]

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overall:   1%|          | 31/4000 [00:38<1:23:04,  1.26s/it]

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overall:   1%|          | 32/4000 [00:39<1:22:28,  1.25s/it]

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overall:   1%|          | 33/4000 [00:40<1:22:08,  1.24s/it]

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overall:   1%|          | 34/4000 [00:41<1:02:56,  1.05it/s]

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overall:   1%|          | 35/4000 [00:42<1:09:04,  1.05s/it]

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overall:   1%|          | 36/4000 [00:43<1:13:18,  1.11s/it]

train:   1%|          | 36/3515 [00:41<1:04:20,  1.11s/it]
overall:   1%|          | 37/4000 [00:44<1:13:46,  1.12s/it]

train:   1%|          | 37/3515 [00:42<1:04:44,  1.12s/it]
overall:   1%|          | 38/4000 [00:45<1:14:56,  1.13s/it]

train:   1%|          | 38/3515 [00:44<1:05:46,  1.13s/it]
overall:   1%|          | 39/4000 [00:47<1:14:13,  1.12s/it]

train:   1%|          | 39/3515 [00:45<1:05:08,  1.12s/it]
overall:   1%|          | 40/4000 [00:47<1:06:54,  1.01s/it]

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overall:   1%|          | 41/4000 [00:48<1:10:05,  1.06s/it]

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overall:   1%|          | 42/4000 [00:50<1:14:44,  1.13s/it]

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overall:   1%|          | 43/4000 [00:51<1:15:04,  1.14s/it]

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overall:   1%|          | 45/4000 [00:53<1:05:00,  1.01it/s]

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overall:   1%|          | 46/4000 [00:53<53:59,  1.22it/s]  

train:   1%|▏         | 46/3515 [00:51<47:22,  1.22it/s]
overall:   1%|          | 47/4000 [00:54<1:01:27,  1.07it/s]

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overall:   1%|          | 48/4000 [00:55<1:02:50,  1.05it/s]

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overall:   1%|          | 49/4000 [00:57<1:08:41,  1.04s/it]

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overall:   1%|▏         | 50/4000 [00:58<1:10:25,  1.07s/it]

train:   1%|▏         | 50/3515 [00:56<1:01:47,  1.07s/it]
overall:   1%|▏         | 51/4000 [00:59<1:12:43,  1.11s/it]

train:   1%|▏         | 51/3515 [00:57<1:03:47,  1.11s/it]
overall:   1%|▏         | 52/4000 [01:00<1:15:14,  1.14s/it]

train:   1%|▏         | 52/3515 [00:58<1:06:00,  1.14s/it]
overall:   1%|▏         | 53/4000 [01:01<1:16:24,  1.16s/it]

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overall:   1%|▏         | 55/4000 [01:04<1:20:10,  1.22s/it]

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overall:   1%|▏         | 56/4000 [01:05<1:20:07,  1.22s/it]

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overall:   1%|▏         | 57/4000 [01:06<1:21:41,  1.24s/it]

train:   2%|▏         | 57/3515 [01:05<1:11:38,  1.24s/it]
overall:   1%|▏         | 58/4000 [01:08<1:22:31,  1.26s/it]

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overall:   2%|▏         | 60/4000 [01:10<1:20:28,  1.23s/it]

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overall:   2%|▏         | 61/4000 [01:11<1:18:34,  1.20s/it]

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overall:   2%|▏         | 65/4000 [01:16<1:14:52,  1.14s/it]

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overall:   2%|▏         | 66/4000 [01:17<1:17:38,  1.18s/it]

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overall:   2%|▏         | 67/4000 [01:18<1:17:42,  1.19s/it]

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overall:   2%|▏         | 70/4000 [01:21<1:07:12,  1.03s/it]

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train:   8%|▊         | 264/3515 [05:07<1:07:58,  1.25s/it]
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train:   8%|▊         | 265/3515 [05:08<1:09:23,  1.28s/it]
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train:   8%|▊         | 269/3515 [05:13<1:03:36,  1.18s/it]
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train:   8%|▊         | 284/3515 [05:31<1:02:02,  1.15s/it]
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train:   8%|▊         | 285/3515 [05:33<1:02:50,  1.17s/it]
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train:   8%|▊         | 286/3515 [05:33<54:51,  1.02s/it]  
overall:   7%|▋         | 287/4000 [05:36<1:02:44,  1.01s/it]

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overall:  11%|█         | 427/4000 [08:13<1:03:57,  1.07s/it]

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overall:  11%|█▏        | 459/4000 [08:48<1:09:26,  1.18s/it]

train:  13%|█▎        | 459/3515 [08:46<59:55,  1.18s/it]
overall:  12%|█▏        | 460/4000 [08:49<1:10:20,  1.19s/it]

train:  13%|█▎        | 460/3515 [08:47<1:00:42,  1.19s/it]
overall:  12%|█▏        | 461/4000 [08:50<1:11:08,  1.21s/it]

train:  13%|█▎        | 461/3515 [08:49<1:01:23,  1.21s/it]
overall:  12%|█▏        | 462/4000 [08:52<1:12:18,  1.23s/it]

train:  13%|█▎        | 462/3515 [08:50<1:02:24,  1.23s/it]
overall:  12%|█▏        | 463/4000 [08:53<1:14:07,  1.26s/it]

train:  13%|█▎        | 463/3515 [08:51<1:03:57,  1.26s/it]
overall:  12%|█▏        | 464/4000 [08:54<1:11:22,  1.21s/it]

train:  13%|█▎        | 464/3515 [08:52<1:01:35,  1.21s/it]
overall:  12%|█▏        | 465/4000 [08:55<1:09:11,  1.17s/it]

train:  13%|█▎        | 465/3515 [08:54<59:41,  1.17s/it]  
overall:  12%|█▏        | 466/4000 [08:56<1:09:44,  1.18s/it]

train:  13%|█▎        | 466/3515 [08:55<1:00:09,  1.18s/it]
overall:  12%|█▏        | 467/4000 [08:58<1:11:43,  1.22s/it]

train:  13%|█▎        | 467/3515 [08:56<1:01:52,  1.22s/it]
overall:  12%|█▏        | 468/4000 [08:58<1:00:06,  1.02s/it]

train:  13%|█▎        | 468/3515 [08:57<51:51,  1.02s/it]  
overall:  12%|█▏        | 469/4000 [09:00<1:03:31,  1.08s/it]

train:  13%|█▎        | 469/3515 [08:58<54:47,  1.08s/it]
overall:  12%|█▏        | 470/4000 [09:01<1:04:53,  1.10s/it]

train:  13%|█▎        | 470/3515 [08:59<55:58,  1.10s/it]
overall:  12%|█▏        | 471/4000 [09:02<1:07:17,  1.14s/it]

train:  13%|█▎        | 471/3515 [09:00<58:02,  1.14s/it]
overall:  12%|█▏        | 472/4000 [09:03<1:08:59,  1.17s/it]

train:  13%|█▎        | 472/3515 [09:01<59:30,  1.17s/it]
overall:  12%|█▏        | 473/4000 [09:04<1:10:55,  1.21s/it]

train:  13%|█▎        | 473/3515 [09:03<1:01:10,  1.21s/it]
overall:  12%|█▏        | 474/4000 [09:05<58:21,  1.01it/s]  

train:  13%|█▎        | 474/3515 [09:03<50:20,  1.01it/s]  
overall:  12%|█▏        | 475/4000 [09:06<54:47,  1.07it/s]

train:  14%|█▎        | 475/3515 [09:04<47:15,  1.07it/s]
overall:  12%|█▏        | 476/4000 [09:07<1:00:24,  1.03s/it]

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

train:  14%|█▎        | 477/3515 [09:07<56:07,  1.11s/it]
overall:  12%|█▏        | 478/4000 [09:10<1:07:30,  1.15s/it]

train:  14%|█▎        | 478/3515 [09:08<58:12,  1.15s/it]
overall:  12%|█▏        | 479/4000 [09:11<1:08:08,  1.16s/it]

train:  14%|█▎        | 479/3515 [09:09<58:45,  1.16s/it]
overall:  12%|█▏        | 480/4000 [09:12<1:04:47,  1.10s/it]

train:  14%|█▎        | 480/3515 [09:10<55:55,  1.11s/it]
overall:  12%|█▏        | 481/4000 [09:13<1:05:47,  1.12s/it]

train:  14%|█▎        | 481/3515 [09:11<56:42,  1.12s/it]
overall:  12%|█▏        | 482/4000 [09:14<1:08:28,  1.17s/it]

train:  14%|█▎        | 482/3515 [09:12<59:01,  1.17s/it]
overall:  12%|█▏        | 483/4000 [09:15<1:07:46,  1.16s/it]

train:  14%|█▎        | 483/3515 [09:14<58:24,  1.16s/it]
overall:  12%|█▏        | 484/4000 [09:16<1:08:24,  1.17s/it]

train:  14%|█▍        | 484/3515 [09:15<58:58,  1.17s/it]
overall:  12%|█▏        | 485/4000 [09:17<1:05:37,  1.12s/it]

train:  14%|█▍        | 485/3515 [09:16<56:34,  1.12s/it]
overall:  12%|█▏        | 486/4000 [09:19<1:10:41,  1.21s/it]

train:  14%|█▍        | 486/3515 [09:17<1:00:55,  1.21s/it]
overall:  12%|█▏        | 487/4000 [09:20<1:14:34,  1.27s/it]

train:  14%|█▍        | 487/3515 [09:19<1:04:17,  1.27s/it]
overall:  12%|█▏        | 488/4000 [09:21<59:02,  1.01s/it]  

train:  14%|█▍        | 488/3515 [09:19<50:53,  1.01s/it]  
overall:  12%|█▏        | 489/4000 [09:22<57:15,  1.02it/s]

train:  14%|█▍        | 489/3515 [09:20<49:21,  1.02it/s]
overall:  12%|█▏        | 490/4000 [09:23<1:02:04,  1.06s/it]

train:  14%|█▍        | 490/3515 [09:21<53:29,  1.06s/it]
overall:  12%|█▏        | 491/4000 [09:24<1:03:56,  1.09s/it]

train:  14%|█▍        | 491/3515 [09:22<55:05,  1.09s/it]
overall:  12%|█▏        | 492/4000 [09:25<54:33,  1.07it/s]  

train:  14%|█▍        | 492/3515 [09:23<47:01,  1.07it/s]
overall:  12%|█▏        | 493/4000 [09:26<59:21,  1.02s/it]

train:  14%|█▍        | 493/3515 [09:24<51:08,  1.02s/it]
overall:  12%|█▏        | 494/4000 [09:27<1:02:26,  1.07s/it]

train:  14%|█▍        | 494/3515 [09:25<53:48,  1.07s/it]
overall:  12%|█▏        | 495/4000 [09:28<1:04:26,  1.10s/it]

train:  14%|█▍        | 495/3515 [09:26<55:31,  1.10s/it]
overall:  12%|█▏        | 496/4000 [09:29<1:05:10,  1.12s/it]

train:  14%|█▍        | 496/3515 [09:28<56:09,  1.12s/it]
overall:  12%|█▏        | 497/4000 [09:31<1:06:59,  1.15s/it]

train:  14%|█▍        | 497/3515 [09:29<57:42,  1.15s/it]
overall:  12%|█▏        | 498/4000 [09:32<1:08:22,  1.17s/it]

train:  14%|█▍        | 498/3515 [09:30<58:54,  1.17s/it]
overall:  12%|█▏        | 499/4000 [09:33<1:05:42,  1.13s/it]

train:  14%|█▍        | 499/3515 [09:31<56:35,  1.13s/it]
overall:  12%|█▎        | 500/4000 [09:33<56:41,  1.03it/s]  

train:  14%|█▍        | 500/3515 [09:32<48:49,  1.03it/s]
overall:  13%|█▎        | 501/4000 [09:35<1:01:38,  1.06s/it]

train:  14%|█▍        | 501/3515 [09:33<53:05,  1.06s/it]
overall:  13%|█▎        | 502/4000 [09:36<1:04:41,  1.11s/it]

train:  14%|█▍        | 502/3515 [09:34<55:43,  1.11s/it]
overall:  13%|█▎        | 503/4000 [09:37<1:07:23,  1.16s/it]

train:  14%|█▍        | 503/3515 [09:35<58:02,  1.16s/it]
overall:  13%|█▎        | 504/4000 [09:38<1:09:00,  1.18s/it]

train:  14%|█▍        | 504/3515 [09:37<59:26,  1.18s/it]
overall:  13%|█▎        | 505/4000 [09:40<1:12:20,  1.24s/it]

train:  14%|█▍        | 505/3515 [09:38<1:02:17,  1.24s/it]
overall:  13%|█▎        | 506/4000 [09:41<1:08:48,  1.18s/it]

train:  14%|█▍        | 506/3515 [09:39<59:15,  1.18s/it]  
overall:  13%|█▎        | 507/4000 [09:42<1:09:50,  1.20s/it]

train:  14%|█▍        | 507/3515 [09:40<1:00:08,  1.20s/it]
overall:  13%|█▎        | 508/4000 [09:43<1:10:53,  1.22s/it]

train:  14%|█▍        | 508/3515 [09:42<1:01:02,  1.22s/it]
overall:  13%|█▎        | 509/4000 [09:45<1:12:23,  1.24s/it]

train:  14%|█▍        | 509/3515 [09:43<1:02:20,  1.24s/it]
overall:  13%|█▎        | 510/4000 [09:46<1:14:19,  1.28s/it]

train:  15%|█▍        | 510/3515 [09:44<1:03:59,  1.28s/it]
overall:  13%|█▎        | 511/4000 [09:47<1:14:20,  1.28s/it]

train:  15%|█▍        | 511/3515 [09:46<1:04:00,  1.28s/it]
overall:  13%|█▎        | 512/4000 [09:48<1:12:22,  1.25s/it]

train:  15%|█▍        | 512/3515 [09:47<1:02:19,  1.25s/it]
overall:  13%|█▎        | 513/4000 [09:50<1:11:35,  1.23s/it]

train:  15%|█▍        | 513/3515 [09:48<1:01:38,  1.23s/it]
overall:  13%|█▎        | 514/4000 [09:51<1:09:54,  1.20s/it]

train:  15%|█▍        | 514/3515 [09:49<1:00:10,  1.20s/it]
overall:  13%|█▎        | 515/4000 [09:52<1:08:04,  1.17s/it]

train:  15%|█▍        | 515/3515 [09:50<58:36,  1.17s/it]  
overall:  13%|█▎        | 516/4000 [09:53<1:10:02,  1.21s/it]

train:  15%|█▍        | 516/3515 [09:51<1:00:17,  1.21s/it]
overall:  13%|█▎        | 517/4000 [09:54<1:09:19,  1.19s/it]

train:  15%|█▍        | 517/3515 [09:53<59:39,  1.19s/it]  
overall:  13%|█▎        | 518/4000 [09:55<58:16,  1.00s/it]  

train:  15%|█▍        | 518/3515 [09:53<50:09,  1.00s/it]
overall:  13%|█▎        | 519/4000 [09:56<1:03:52,  1.10s/it]

train:  15%|█▍        | 519/3515 [09:54<54:58,  1.10s/it]
overall:  13%|█▎        | 520/4000 [09:57<1:05:31,  1.13s/it]

train:  15%|█▍        | 520/3515 [09:56<56:23,  1.13s/it]
overall:  13%|█▎        | 521/4000 [09:59<1:12:13,  1.25s/it]

train:  15%|█▍        | 521/3515 [09:57<1:02:08,  1.25s/it]
overall:  13%|█▎        | 522/4000 [10:00<1:12:17,  1.25s/it]

train:  15%|█▍        | 522/3515 [09:58<1:02:12,  1.25s/it]
overall:  13%|█▎        | 523/4000 [10:01<1:12:39,  1.25s/it]

train:  15%|█▍        | 523/3515 [10:00<1:02:31,  1.25s/it]
overall:  13%|█▎        | 524/4000 [10:03<1:12:34,  1.25s/it]

train:  15%|█▍        | 524/3515 [10:01<1:02:26,  1.25s/it]
overall:  13%|█▎        | 525/4000 [10:04<1:13:18,  1.27s/it]

train:  15%|█▍        | 525/3515 [10:02<1:03:04,  1.27s/it]
overall:  13%|█▎        | 526/4000 [10:05<1:13:41,  1.27s/it]

train:  15%|█▍        | 526/3515 [10:04<1:03:23,  1.27s/it]
overall:  13%|█▎        | 527/4000 [10:07<1:12:49,  1.26s/it]

train:  15%|█▍        | 527/3515 [10:05<1:02:39,  1.26s/it]
overall:  13%|█▎        | 528/4000 [10:07<55:02,  1.05it/s]  

train:  15%|█▌        | 528/3515 [10:05<47:21,  1.05it/s]  
overall:  13%|█▎        | 529/4000 [10:08<59:58,  1.04s/it]

train:  15%|█▌        | 529/3515 [10:06<51:35,  1.04s/it]
overall:  13%|█▎        | 530/4000 [10:09<1:03:52,  1.10s/it]

train:  15%|█▌        | 530/3515 [10:07<54:57,  1.10s/it]
overall:  13%|█▎        | 531/4000 [10:10<55:10,  1.05it/s]  

train:  15%|█▌        | 531/3515 [10:08<47:27,  1.05it/s]
overall:  13%|█▎        | 532/4000 [10:11<59:49,  1.04s/it]

train:  15%|█▌        | 532/3515 [10:09<51:27,  1.04s/it]
overall:  13%|█▎        | 533/4000 [10:12<1:02:30,  1.08s/it]

train:  15%|█▌        | 533/3515 [10:11<53:45,  1.08s/it]
overall:  13%|█▎        | 534/4000 [10:13<55:18,  1.04it/s]  

train:  15%|█▌        | 534/3515 [10:11<47:34,  1.04it/s]
overall:  13%|█▎        | 535/4000 [10:14<1:01:45,  1.07s/it]

train:  15%|█▌        | 535/3515 [10:12<53:06,  1.07s/it]
overall:  13%|█▎        | 536/4000 [10:15<1:03:44,  1.10s/it]

train:  15%|█▌        | 536/3515 [10:14<54:49,  1.10s/it]
overall:  13%|█▎        | 537/4000 [10:17<1:07:14,  1.17s/it]

train:  15%|█▌        | 537/3515 [10:15<57:49,  1.17s/it]
overall:  13%|█▎        | 538/4000 [10:18<1:09:18,  1.20s/it]

train:  15%|█▌        | 538/3515 [10:16<59:35,  1.20s/it]
overall:  13%|█▎        | 539/4000 [10:19<1:01:45,  1.07s/it]

train:  15%|█▌        | 539/3515 [10:17<53:06,  1.07s/it]
overall:  14%|█▎        | 540/4000 [10:19<53:01,  1.09it/s]  

train:  15%|█▌        | 540/3515 [10:18<45:35,  1.09it/s]
overall:  14%|█▎        | 541/4000 [10:21<59:49,  1.04s/it]

train:  15%|█▌        | 541/3515 [10:19<51:26,  1.04s/it]
overall:  14%|█▎        | 542/4000 [10:22<1:02:43,  1.09s/it]

train:  15%|█▌        | 542/3515 [10:20<53:55,  1.09s/it]
overall:  14%|█▎        | 543/4000 [10:23<1:05:26,  1.14s/it]

train:  15%|█▌        | 543/3515 [10:21<56:15,  1.14s/it]
overall:  14%|█▎        | 544/4000 [10:24<1:05:43,  1.14s/it]

train:  15%|█▌        | 544/3515 [10:23<56:29,  1.14s/it]
overall:  14%|█▎        | 545/4000 [10:26<1:11:26,  1.24s/it]

train:  16%|█▌        | 545/3515 [10:24<1:01:24,  1.24s/it]
overall:  14%|█▎        | 546/4000 [10:27<1:09:51,  1.21s/it]

train:  16%|█▌        | 546/3515 [10:25<1:00:02,  1.21s/it]
overall:  14%|█▎        | 547/4000 [10:28<1:10:26,  1.22s/it]

train:  16%|█▌        | 547/3515 [10:26<1:00:33,  1.22s/it]
overall:  14%|█▎        | 548/4000 [10:29<1:09:16,  1.20s/it]

train:  16%|█▌        | 548/3515 [10:28<59:32,  1.20s/it]  
overall:  14%|█▎        | 549/4000 [10:31<1:10:50,  1.23s/it]

train:  16%|█▌        | 549/3515 [10:29<1:00:52,  1.23s/it]
overall:  14%|█▍        | 550/4000 [10:32<1:11:20,  1.24s/it]

train:  16%|█▌        | 550/3515 [10:30<1:01:18,  1.24s/it]
overall:  14%|█▍        | 551/4000 [10:33<1:10:24,  1.22s/it]

train:  16%|█▌        | 551/3515 [10:31<1:00:30,  1.22s/it]
overall:  14%|█▍        | 552/4000 [10:34<1:02:26,  1.09s/it]

train:  16%|█▌        | 552/3515 [10:32<53:39,  1.09s/it]  
overall:  14%|█▍        | 553/4000 [10:35<1:02:40,  1.09s/it]

train:  16%|█▌        | 553/3515 [10:33<53:51,  1.09s/it]
overall:  14%|█▍        | 554/4000 [10:36<1:05:27,  1.14s/it]

train:  16%|█▌        | 554/3515 [10:34<56:14,  1.14s/it]
overall:  14%|█▍        | 555/4000 [10:37<52:25,  1.10it/s]  

train:  16%|█▌        | 555/3515 [10:35<45:02,  1.10it/s]
overall:  14%|█▍        | 556/4000 [10:38<57:58,  1.01s/it]

train:  16%|█▌        | 556/3515 [10:36<49:48,  1.01s/it]
overall:  14%|█▍        | 557/4000 [10:39<1:02:01,  1.08s/it]

train:  16%|█▌        | 557/3515 [10:37<53:16,  1.08s/it]
overall:  14%|█▍        | 558/4000 [10:40<1:04:26,  1.12s/it]

train:  16%|█▌        | 558/3515 [10:39<55:22,  1.12s/it]
overall:  14%|█▍        | 559/4000 [10:42<1:08:28,  1.19s/it]

train:  16%|█▌        | 559/3515 [10:40<58:49,  1.19s/it]
overall:  14%|█▍        | 560/4000 [10:43<1:05:29,  1.14s/it]

train:  16%|█▌        | 560/3515 [10:41<56:15,  1.14s/it]
overall:  14%|█▍        | 561/4000 [10:44<1:05:51,  1.15s/it]

train:  16%|█▌        | 561/3515 [10:42<56:34,  1.15s/it]
overall:  14%|█▍        | 562/4000 [10:45<1:01:38,  1.08s/it]

train:  16%|█▌        | 562/3515 [10:43<52:56,  1.08s/it]
overall:  14%|█▍        | 563/4000 [10:46<1:04:30,  1.13s/it]

train:  16%|█▌        | 563/3515 [10:44<55:24,  1.13s/it]
overall:  14%|█▍        | 564/4000 [10:47<1:07:44,  1.18s/it]

train:  16%|█▌        | 564/3515 [10:46<58:10,  1.18s/it]
overall:  14%|█▍        | 565/4000 [10:48<54:54,  1.04it/s]  

train:  16%|█▌        | 565/3515 [10:46<47:09,  1.04it/s]
overall:  14%|█▍        | 566/4000 [10:49<59:57,  1.05s/it]

train:  16%|█▌        | 566/3515 [10:47<51:29,  1.05s/it]
overall:  14%|█▍        | 567/4000 [10:50<1:03:10,  1.10s/it]

train:  16%|█▌        | 567/3515 [10:48<54:15,  1.10s/it]
overall:  14%|█▍        | 568/4000 [10:51<49:06,  1.16it/s]  

train:  16%|█▌        | 568/3515 [10:49<42:10,  1.16it/s]
overall:  14%|█▍        | 569/4000 [10:52<59:57,  1.05s/it]

train:  16%|█▌        | 569/3515 [10:50<51:29,  1.05s/it]
overall:  14%|█▍        | 570/4000 [10:53<1:03:02,  1.10s/it]

train:  16%|█▌        | 570/3515 [10:51<54:07,  1.10s/it]
overall:  14%|█▍        | 571/4000 [10:55<1:06:27,  1.16s/it]

train:  16%|█▌        | 571/3515 [10:53<57:03,  1.16s/it]
overall:  14%|█▍        | 572/4000 [10:56<1:07:39,  1.18s/it]

train:  16%|█▋        | 572/3515 [10:54<58:05,  1.18s/it]
overall:  14%|█▍        | 573/4000 [10:57<1:09:36,  1.22s/it]

train:  16%|█▋        | 573/3515 [10:55<59:45,  1.22s/it]
overall:  14%|█▍        | 574/4000 [10:58<1:09:49,  1.22s/it]

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overall:  14%|█▍        | 575/4000 [11:00<1:10:54,  1.24s/it]

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overall:  14%|█▍        | 576/4000 [11:01<1:10:46,  1.24s/it]

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overall:  14%|█▍        | 577/4000 [11:02<1:08:32,  1.20s/it]

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overall:  14%|█▍        | 578/4000 [11:03<1:08:57,  1.21s/it]

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overall:  14%|█▍        | 579/4000 [11:04<59:13,  1.04s/it]  

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overall:  14%|█▍        | 580/4000 [11:05<1:01:40,  1.08s/it]

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overall:  15%|█▍        | 581/4000 [11:06<1:01:35,  1.08s/it]

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overall:  15%|█▍        | 582/4000 [11:07<1:02:38,  1.10s/it]

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overall:  15%|█▍        | 583/4000 [11:09<1:08:20,  1.20s/it]

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overall:  15%|█▍        | 584/4000 [11:10<1:05:46,  1.16s/it]

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overall:  15%|█▍        | 585/4000 [11:11<1:07:01,  1.18s/it]

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overall:  15%|█▍        | 586/4000 [11:12<1:08:42,  1.21s/it]

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overall:  15%|█▍        | 587/4000 [11:13<1:10:03,  1.23s/it]

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overall:  15%|█▍        | 589/4000 [11:16<1:08:19,  1.20s/it]

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overall:  15%|█▍        | 590/4000 [11:17<58:56,  1.04s/it]  

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overall:  15%|█▍        | 591/4000 [11:18<1:03:33,  1.12s/it]

train:  17%|█▋        | 591/3515 [11:16<54:31,  1.12s/it]
overall:  15%|█▍        | 592/4000 [11:19<1:05:38,  1.16s/it]

train:  17%|█▋        | 592/3515 [11:17<56:17,  1.16s/it]
overall:  15%|█▍        | 593/4000 [11:20<1:08:47,  1.21s/it]

train:  17%|█▋        | 593/3515 [11:19<59:00,  1.21s/it]
overall:  15%|█▍        | 594/4000 [11:22<1:08:06,  1.20s/it]

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overall:  15%|█▍        | 595/4000 [11:23<1:08:18,  1.20s/it]

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overall:  15%|█▍        | 596/4000 [11:24<1:08:37,  1.21s/it]

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overall:  15%|█▍        | 597/4000 [11:25<59:09,  1.04s/it]  

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overall:  15%|█▍        | 598/4000 [11:26<1:02:22,  1.10s/it]

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overall:  15%|█▍        | 599/4000 [11:27<1:02:56,  1.11s/it]

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overall:  15%|█▌        | 601/4000 [11:29<56:40,  1.00s/it]  

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overall:  15%|█▌        | 602/4000 [11:30<59:47,  1.06s/it]

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overall:  15%|█▌        | 603/4000 [11:31<1:02:49,  1.11s/it]

train:  17%|█▋        | 603/3515 [11:29<53:51,  1.11s/it]
overall:  15%|█▌        | 604/4000 [11:32<1:03:41,  1.13s/it]

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overall:  15%|█▌        | 605/4000 [11:34<1:06:36,  1.18s/it]

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overall:  15%|█▌        | 606/4000 [11:35<1:04:49,  1.15s/it]

train:  17%|█▋        | 606/3515 [11:33<55:33,  1.15s/it]
overall:  15%|█▌        | 607/4000 [11:36<1:01:31,  1.09s/it]

train:  17%|█▋        | 607/3515 [11:34<52:43,  1.09s/it]
overall:  15%|█▌        | 608/4000 [11:37<1:03:55,  1.13s/it]

train:  17%|█▋        | 608/3515 [11:35<54:46,  1.13s/it]
overall:  15%|█▌        | 609/4000 [11:38<1:04:17,  1.14s/it]

train:  17%|█▋        | 609/3515 [11:36<55:05,  1.14s/it]
overall:  15%|█▌        | 610/4000 [11:39<1:05:49,  1.17s/it]

train:  17%|█▋        | 610/3515 [11:38<56:24,  1.17s/it]
overall:  15%|█▌        | 611/4000 [11:40<53:58,  1.05it/s]  

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overall:  15%|█▌        | 612/4000 [11:40<48:20,  1.17it/s]

train:  17%|█▋        | 612/3515 [11:39<41:25,  1.17it/s]
overall:  15%|█▌        | 613/4000 [11:42<54:34,  1.03it/s]

train:  17%|█▋        | 613/3515 [11:40<46:45,  1.03it/s]
overall:  15%|█▌        | 614/4000 [11:43<1:00:13,  1.07s/it]

train:  17%|█▋        | 614/3515 [11:41<51:35,  1.07s/it]
overall:  15%|█▌        | 615/4000 [11:44<1:03:09,  1.12s/it]

train:  17%|█▋        | 615/3515 [11:42<54:06,  1.12s/it]
overall:  15%|█▌        | 616/4000 [11:45<1:03:21,  1.12s/it]

train:  18%|█▊        | 616/3515 [11:44<54:16,  1.12s/it]
overall:  15%|█▌        | 617/4000 [11:47<1:09:57,  1.24s/it]

train:  18%|█▊        | 617/3515 [11:45<59:55,  1.24s/it]
overall:  15%|█▌        | 618/4000 [11:48<1:09:45,  1.24s/it]

train:  18%|█▊        | 618/3515 [11:46<59:44,  1.24s/it]
overall:  15%|█▌        | 619/4000 [11:49<1:08:45,  1.22s/it]

train:  18%|█▊        | 619/3515 [11:47<58:53,  1.22s/it]
overall:  16%|█▌        | 620/4000 [11:51<1:08:54,  1.22s/it]

train:  18%|█▊        | 620/3515 [11:49<59:01,  1.22s/it]
overall:  16%|█▌        | 621/4000 [11:52<1:09:06,  1.23s/it]

train:  18%|█▊        | 621/3515 [11:50<59:11,  1.23s/it]
overall:  16%|█▌        | 622/4000 [11:53<1:08:47,  1.22s/it]

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overall:  16%|█▌        | 623/4000 [11:54<1:09:28,  1.23s/it]

train:  18%|█▊        | 623/3515 [11:52<59:30,  1.23s/it]
overall:  16%|█▌        | 624/4000 [11:55<1:09:36,  1.24s/it]

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overall:  16%|█▌        | 625/4000 [11:57<1:07:55,  1.21s/it]

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overall:  16%|█▌        | 626/4000 [11:58<1:07:20,  1.20s/it]

train:  18%|█▊        | 626/3515 [11:56<57:40,  1.20s/it]
overall:  16%|█▌        | 627/4000 [11:59<1:07:33,  1.20s/it]

train:  18%|█▊        | 627/3515 [11:57<57:50,  1.20s/it]
overall:  16%|█▌        | 628/4000 [12:00<1:07:58,  1.21s/it]

train:  18%|█▊        | 628/3515 [11:58<58:11,  1.21s/it]
overall:  16%|█▌        | 629/4000 [12:01<1:08:49,  1.22s/it]

train:  18%|█▊        | 629/3515 [12:00<58:55,  1.22s/it]
overall:  16%|█▌        | 630/4000 [12:02<1:04:45,  1.15s/it]

train:  18%|█▊        | 630/3515 [12:01<55:26,  1.15s/it]
overall:  16%|█▌        | 631/4000 [12:04<1:06:38,  1.19s/it]

train:  18%|█▊        | 631/3515 [12:02<57:02,  1.19s/it]
overall:  16%|█▌        | 632/4000 [12:05<1:06:23,  1.18s/it]

train:  18%|█▊        | 632/3515 [12:03<56:50,  1.18s/it]
overall:  16%|█▌        | 633/4000 [12:06<1:08:13,  1.22s/it]

train:  18%|█▊        | 633/3515 [12:04<58:23,  1.22s/it]
overall:  16%|█▌        | 634/4000 [12:07<1:09:23,  1.24s/it]

train:  18%|█▊        | 634/3515 [12:06<59:23,  1.24s/it]
overall:  16%|█▌        | 635/4000 [12:08<55:32,  1.01it/s]  

train:  18%|█▊        | 635/3515 [12:06<47:32,  1.01it/s]
overall:  16%|█▌        | 636/4000 [12:09<57:20,  1.02s/it]

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overall:  16%|█▌        | 637/4000 [12:10<1:01:04,  1.09s/it]

train:  18%|█▊        | 637/3515 [12:08<52:15,  1.09s/it]
overall:  16%|█▌        | 638/4000 [12:11<49:03,  1.14it/s]  

train:  18%|█▊        | 638/3515 [12:09<41:59,  1.14it/s]
overall:  16%|█▌        | 639/4000 [12:12<56:08,  1.00s/it]

train:  18%|█▊        | 639/3515 [12:10<48:02,  1.00s/it]
overall:  16%|█▌        | 640/4000 [12:13<56:28,  1.01s/it]

train:  18%|█▊        | 640/3515 [12:11<48:19,  1.01s/it]
overall:  16%|█▌        | 641/4000 [12:14<1:03:36,  1.14s/it]

train:  18%|█▊        | 641/3515 [12:13<54:25,  1.14s/it]
overall:  16%|█▌        | 642/4000 [12:16<1:04:16,  1.15s/it]

train:  18%|█▊        | 642/3515 [12:14<54:59,  1.15s/it]
overall:  16%|█▌        | 643/4000 [12:17<1:06:31,  1.19s/it]

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overall:  16%|█▌        | 644/4000 [12:18<1:06:56,  1.20s/it]

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overall:  16%|█▌        | 645/4000 [12:19<57:36,  1.03s/it]  

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overall:  16%|█▌        | 646/4000 [12:20<1:01:07,  1.09s/it]

train:  18%|█▊        | 646/3515 [12:18<52:17,  1.09s/it]
overall:  16%|█▌        | 647/4000 [12:21<1:00:51,  1.09s/it]

train:  18%|█▊        | 647/3515 [12:19<52:03,  1.09s/it]
overall:  16%|█▌        | 648/4000 [12:22<1:02:48,  1.12s/it]

train:  18%|█▊        | 648/3515 [12:20<53:42,  1.12s/it]
overall:  16%|█▌        | 649/4000 [12:23<1:04:49,  1.16s/it]

train:  18%|█▊        | 649/3515 [12:22<55:26,  1.16s/it]
overall:  16%|█▋        | 650/4000 [12:24<1:02:40,  1.12s/it]

train:  18%|█▊        | 650/3515 [12:23<53:36,  1.12s/it]
overall:  16%|█▋        | 651/4000 [12:26<1:05:27,  1.17s/it]

train:  19%|█▊        | 651/3515 [12:24<55:58,  1.17s/it]
overall:  16%|█▋        | 652/4000 [12:27<1:07:31,  1.21s/it]

train:  19%|█▊        | 652/3515 [12:25<57:44,  1.21s/it]
overall:  16%|█▋        | 653/4000 [12:28<1:08:41,  1.23s/it]

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overall:  16%|█▋        | 654/4000 [12:30<1:08:57,  1.24s/it]

train:  19%|█▊        | 654/3515 [12:28<58:57,  1.24s/it]
overall:  16%|█▋        | 655/4000 [12:31<1:05:38,  1.18s/it]

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overall:  16%|█▋        | 656/4000 [12:32<1:06:27,  1.19s/it]

train:  19%|█▊        | 656/3515 [12:30<56:49,  1.19s/it]
overall:  16%|█▋        | 657/4000 [12:33<1:05:47,  1.18s/it]

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overall:  16%|█▋        | 658/4000 [12:34<1:03:58,  1.15s/it]

train:  19%|█▊        | 658/3515 [12:32<54:41,  1.15s/it]
overall:  16%|█▋        | 659/4000 [12:35<54:33,  1.02it/s]  

train:  19%|█▊        | 659/3515 [12:33<46:38,  1.02it/s]
overall:  16%|█▋        | 660/4000 [12:36<1:00:07,  1.08s/it]

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overall:  17%|█▋        | 661/4000 [12:37<1:03:26,  1.14s/it]

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overall:  17%|█▋        | 662/4000 [12:38<1:02:23,  1.12s/it]

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overall:  17%|█▋        | 663/4000 [12:40<1:02:51,  1.13s/it]

train:  19%|█▉        | 663/3515 [12:38<53:43,  1.13s/it]
overall:  17%|█▋        | 664/4000 [12:41<1:02:48,  1.13s/it]

train:  19%|█▉        | 664/3515 [12:39<53:40,  1.13s/it]
overall:  17%|█▋        | 665/4000 [12:42<1:08:45,  1.24s/it]

train:  19%|█▉        | 665/3515 [12:40<58:45,  1.24s/it]
overall:  17%|█▋        | 666/4000 [12:43<1:07:54,  1.22s/it]

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overall:  17%|█▋        | 667/4000 [12:44<1:04:22,  1.16s/it]

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overall:  17%|█▋        | 668/4000 [12:45<1:04:38,  1.16s/it]

train:  19%|█▉        | 668/3515 [12:44<55:13,  1.16s/it]
overall:  17%|█▋        | 669/4000 [12:46<1:01:27,  1.11s/it]

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overall:  17%|█▋        | 670/4000 [12:47<52:50,  1.05it/s]  

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overall:  17%|█▋        | 671/4000 [12:48<48:00,  1.16it/s]

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overall:  17%|█▋        | 673/4000 [12:50<58:11,  1.05s/it]

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overall:  17%|█▋        | 674/4000 [12:50<45:40,  1.21it/s]

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overall:  17%|█▋        | 677/4000 [12:54<1:01:14,  1.11s/it]

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overall:  17%|█▋        | 686/4000 [13:05<1:04:49,  1.17s/it]

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train:  28%|██▊       | 999/3515 [19:02<51:04,  1.22s/it]train loss: 199.86770629882812
train per: 1.201295478234973
train loss: 161.8279571533203
train per: 1.0518653094746273
train loss: 65.46044921875
train per: 0.9610251205277848
train loss: 40.39759063720703
train per: 0.9906395087614198
train loss: 22.404579162597656
train per: 1.027407792677687
train loss: 17.013965606689453
train per: 1.0480341070582662
train loss: 17.031002044677734
train per: 0.9484805906824255
train loss: 15.037887573242188
train per: 0.9185815855751444
train loss: 14.54716682434082
train per: 0.9195565241309269
train loss: 12.953882217407227
train per: 0.9434275343531242
train loss: 14.598426818847656
train per: 1.1075070159027127
train loss: 12.32489013671875
train per: 0.9315836922768707
train loss: 10.227152824401855
train per: 0.9562490320582314
train loss: 10.792505264282227
train per: 1.00526414299752
train loss: 10.926140785217285
train per: 0.9040015721339262
train loss: 12.560188293457031
train per: 0.9064143563178899
train loss: 12.458560943603516
train per: 0.967121915207762
train loss: 10.34447956085205
train per: 0.8958675597118666
train loss: 9.760366439819336
train per: 0.9124952137843012
train loss: 9.315949440002441
train per: 0.902271462783328
train loss: 8.51879596710205
train per: 0.9235324726813192
train loss: 11.293724060058594
train per: 0.9484800258948561
train loss: 14.017087936401367
train per: 0.9324461859447356
train loss: 13.147247314453125
train per: 0.9346809473525418
train loss: 13.122314453125
train per: 0.9699013330534271
train loss: 11.387197494506836
train per: 0.9248192432786578
train loss: 10.781333923339844
train per: 0.8951813214108296
train loss: 11.821939468383789
train per: 0.9517532103608762
train loss: 12.236297607421875
train per: 0.9539760624809819
train loss: 8.632448196411133
train per: 0.9322067893496465
train loss: 6.801702976226807
train per: 0.8424674864632357
train loss: 7.669996738433838
train per: 0.8792750511757951
train loss: 7.002097129821777
train per: 0.8419230388762489
train loss: 6.198603630065918
train per: 0.8814346220677671
train loss: 6.492101192474365
train per: 0.85698374330537
train loss: 7.183599948883057
train per: 0.8000929320047498
train loss: 5.386416435241699
train per: 0.7489635637955453
train loss: 6.773166656494141
train per: 0.8392090979581287
train loss: 6.157675266265869
train per: 0.7732156180054712
train loss: 5.945202827453613
train per: 0.784805471795249
train loss: 7.107394218444824
train per: 0.7870529344908471
train loss: 10.703459739685059
train per: 0.8692284778075663
train loss: 8.222211837768555
train per: 0.7965214138769403
train loss: 6.232470512390137
train per: 0.7988582391614609
train loss: 5.628487586975098
train per: 0.7624044407654478
train loss: 8.099813461303711
train per: 0.8874500282049396
train loss: 6.950074195861816
train per: 0.7727673425103411
train loss: 6.674737453460693
train per: 0.791686164404929
train loss: 7.108191013336182
train per: 0.7989126193387269
train loss: 6.877699375152588
train per: 0.7776406654168347
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 531/2703 [00:00<00:00, 5301.50it/s]


word -> phonemes:  40%|███▉      | 1075/2703 [00:00<00:00, 5379.36it/s]


word -> phonemes:  60%|█████▉    | 1613/2703 [00:00<00:00, 5377.36it/s]


word -> phonemes:  80%|███████▉  | 2151/2703 [00:00<00:00, 4851.23it/s]


word -> phonemes:  98%|█████████▊| 2659/2703 [00:00<00:00, 4927.99it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5037.93it/s]



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


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overall:  25%|██▍       | 999/4000 [21:52<1:00:54,  1.22s/it]

train:  28%|██▊       | 999/3515 [21:50<51:04,  1.22s/it]
                                                             

                                                         

overall:  25%|██▍       | 999/4000 [21:52<1:00:54,  1.22s/it]

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overall:  48%|████▊     | 1909/4000 [39:10<38:28,  1.10s/it]

train:  54%|█████▍    | 1909/3515 [39:08<29:32,  1.10s/it]
overall:  48%|████▊     | 1910/4000 [39:11<41:17,  1.19s/it]

train:  54%|█████▍    | 1910/3515 [39:09<31:42,  1.19s/it]
overall:  48%|████▊     | 1911/4000 [39:12<34:39,  1.00it/s]

train:  54%|█████▍    | 1911/3515 [39:10<26:36,  1.00it/s]
overall:  48%|████▊     | 1912/4000 [39:13<36:49,  1.06s/it]

train:  54%|█████▍    | 1912/3515 [39:11<28:16,  1.06s/it]
overall:  48%|████▊     | 1913/4000 [39:14<37:51,  1.09s/it]

train:  54%|█████▍    | 1913/3515 [39:12<29:03,  1.09s/it]
overall:  48%|████▊     | 1914/4000 [39:15<36:44,  1.06s/it]

train:  54%|█████▍    | 1914/3515 [39:13<28:11,  1.06s/it]
overall:  48%|████▊     | 1915/4000 [39:16<35:48,  1.03s/it]

train:  54%|█████▍    | 1915/3515 [39:14<27:28,  1.03s/it]
overall:  48%|████▊     | 1916/4000 [39:16<28:11,  1.23it/s]

train:  55%|█████▍    | 1916/3515 [39:14<21:37,  1.23it/s]
overall:  48%|████▊     | 1917/4000 [39:17<33:01,  1.05it/s]

train:  55%|█████▍    | 1917/3515 [39:16<25:20,  1.05it/s]
overall:  48%|████▊     | 1918/4000 [39:19<35:56,  1.04s/it]

train:  55%|█████▍    | 1918/3515 [39:17<27:33,  1.04s/it]
overall:  48%|████▊     | 1919/4000 [39:20<37:35,  1.08s/it]

train:  55%|█████▍    | 1919/3515 [39:18<28:49,  1.08s/it]
overall:  48%|████▊     | 1920/4000 [39:21<38:56,  1.12s/it]

train:  55%|█████▍    | 1920/3515 [39:19<29:51,  1.12s/it]
overall:  48%|████▊     | 1921/4000 [39:22<40:00,  1.15s/it]

train:  55%|█████▍    | 1921/3515 [39:21<30:40,  1.15s/it]
overall:  48%|████▊     | 1922/4000 [39:23<39:21,  1.14s/it]

train:  55%|█████▍    | 1922/3515 [39:22<30:10,  1.14s/it]
overall:  48%|████▊     | 1923/4000 [39:25<40:57,  1.18s/it]

train:  55%|█████▍    | 1923/3515 [39:23<31:24,  1.18s/it]
overall:  48%|████▊     | 1924/4000 [39:26<41:21,  1.20s/it]

train:  55%|█████▍    | 1924/3515 [39:24<31:41,  1.20s/it]
overall:  48%|████▊     | 1925/4000 [39:27<43:46,  1.27s/it]

train:  55%|█████▍    | 1925/3515 [39:26<33:32,  1.27s/it]
overall:  48%|████▊     | 1926/4000 [39:29<43:50,  1.27s/it]

train:  55%|█████▍    | 1926/3515 [39:27<33:34,  1.27s/it]
overall:  48%|████▊     | 1927/4000 [39:29<33:40,  1.03it/s]

train:  55%|█████▍    | 1927/3515 [39:27<25:48,  1.03it/s]
overall:  48%|████▊     | 1928/4000 [39:30<36:33,  1.06s/it]

train:  55%|█████▍    | 1928/3515 [39:28<27:59,  1.06s/it]
overall:  48%|████▊     | 1929/4000 [39:31<38:06,  1.10s/it]

train:  55%|█████▍    | 1929/3515 [39:30<29:11,  1.10s/it]
overall:  48%|████▊     | 1930/4000 [39:33<39:22,  1.14s/it]

train:  55%|█████▍    | 1930/3515 [39:31<30:09,  1.14s/it]
overall:  48%|████▊     | 1931/4000 [39:34<39:50,  1.16s/it]

train:  55%|█████▍    | 1931/3515 [39:32<30:30,  1.16s/it]
overall:  48%|████▊     | 1932/4000 [39:35<40:44,  1.18s/it]

train:  55%|█████▍    | 1932/3515 [39:33<31:11,  1.18s/it]
overall:  48%|████▊     | 1933/4000 [39:36<40:10,  1.17s/it]

train:  55%|█████▍    | 1933/3515 [39:34<30:44,  1.17s/it]
overall:  48%|████▊     | 1934/4000 [39:37<41:24,  1.20s/it]

train:  55%|█████▌    | 1934/3515 [39:36<31:41,  1.20s/it]
overall:  48%|████▊     | 1935/4000 [39:39<42:23,  1.23s/it]

train:  55%|█████▌    | 1935/3515 [39:37<32:26,  1.23s/it]
overall:  48%|████▊     | 1936/4000 [39:40<42:46,  1.24s/it]

train:  55%|█████▌    | 1936/3515 [39:38<32:43,  1.24s/it]
overall:  48%|████▊     | 1937/4000 [39:41<42:24,  1.23s/it]

train:  55%|█████▌    | 1937/3515 [39:39<32:26,  1.23s/it]
overall:  48%|████▊     | 1938/4000 [39:42<42:17,  1.23s/it]

train:  55%|█████▌    | 1938/3515 [39:41<32:20,  1.23s/it]
overall:  48%|████▊     | 1939/4000 [39:44<42:10,  1.23s/it]

train:  55%|█████▌    | 1939/3515 [39:42<32:15,  1.23s/it]
overall:  48%|████▊     | 1940/4000 [39:45<40:49,  1.19s/it]

train:  55%|█████▌    | 1940/3515 [39:43<31:12,  1.19s/it]
overall:  49%|████▊     | 1941/4000 [39:46<44:13,  1.29s/it]

train:  55%|█████▌    | 1941/3515 [39:45<33:48,  1.29s/it]
overall:  49%|████▊     | 1942/4000 [39:48<43:43,  1.27s/it]

train:  55%|█████▌    | 1942/3515 [39:46<33:25,  1.27s/it]
overall:  49%|████▊     | 1943/4000 [39:49<43:04,  1.26s/it]

train:  55%|█████▌    | 1943/3515 [39:47<32:55,  1.26s/it]
overall:  49%|████▊     | 1944/4000 [39:50<42:00,  1.23s/it]

train:  55%|█████▌    | 1944/3515 [39:48<32:05,  1.23s/it]
overall:  49%|████▊     | 1945/4000 [39:51<42:00,  1.23s/it]

train:  55%|█████▌    | 1945/3515 [39:49<32:05,  1.23s/it]
overall:  49%|████▊     | 1946/4000 [39:52<42:18,  1.24s/it]

train:  55%|█████▌    | 1946/3515 [39:51<32:19,  1.24s/it]
overall:  49%|████▊     | 1947/4000 [39:54<42:27,  1.24s/it]

train:  55%|█████▌    | 1947/3515 [39:52<32:25,  1.24s/it]
overall:  49%|████▊     | 1948/4000 [39:55<38:55,  1.14s/it]

train:  55%|█████▌    | 1948/3515 [39:53<29:43,  1.14s/it]
overall:  49%|████▊     | 1949/4000 [39:56<39:04,  1.14s/it]

train:  55%|█████▌    | 1949/3515 [39:54<29:49,  1.14s/it]
overall:  49%|████▉     | 1950/4000 [39:57<40:38,  1.19s/it]

train:  55%|█████▌    | 1950/3515 [39:55<31:01,  1.19s/it]
overall:  49%|████▉     | 1951/4000 [39:58<41:08,  1.20s/it]

train:  56%|█████▌    | 1951/3515 [39:56<31:23,  1.20s/it]
overall:  49%|████▉     | 1952/4000 [39:59<38:48,  1.14s/it]

train:  56%|█████▌    | 1952/3515 [39:57<29:37,  1.14s/it]
overall:  49%|████▉     | 1953/4000 [40:01<40:27,  1.19s/it]

train:  56%|█████▌    | 1953/3515 [39:59<30:52,  1.19s/it]
overall:  49%|████▉     | 1954/4000 [40:02<40:53,  1.20s/it]

train:  56%|█████▌    | 1954/3515 [40:00<31:12,  1.20s/it]
overall:  49%|████▉     | 1955/4000 [40:03<40:13,  1.18s/it]

train:  56%|█████▌    | 1955/3515 [40:01<30:41,  1.18s/it]
overall:  49%|████▉     | 1956/4000 [40:04<39:55,  1.17s/it]

train:  56%|█████▌    | 1956/3515 [40:02<30:26,  1.17s/it]
overall:  49%|████▉     | 1957/4000 [40:05<40:06,  1.18s/it]

train:  56%|█████▌    | 1957/3515 [40:03<30:34,  1.18s/it]
overall:  49%|████▉     | 1958/4000 [40:06<40:22,  1.19s/it]

train:  56%|█████▌    | 1958/3515 [40:05<30:47,  1.19s/it]
overall:  49%|████▉     | 1959/4000 [40:08<40:48,  1.20s/it]

train:  56%|█████▌    | 1959/3515 [40:06<31:06,  1.20s/it]
overall:  49%|████▉     | 1960/4000 [40:09<41:30,  1.22s/it]

train:  56%|█████▌    | 1960/3515 [40:07<31:38,  1.22s/it]
overall:  49%|████▉     | 1961/4000 [40:10<42:13,  1.24s/it]

train:  56%|█████▌    | 1961/3515 [40:08<32:10,  1.24s/it]
overall:  49%|████▉     | 1962/4000 [40:11<42:14,  1.24s/it]

train:  56%|█████▌    | 1962/3515 [40:10<32:11,  1.24s/it]
overall:  49%|████▉     | 1963/4000 [40:13<41:21,  1.22s/it]

train:  56%|█████▌    | 1963/3515 [40:11<31:30,  1.22s/it]
overall:  49%|████▉     | 1964/4000 [40:14<41:40,  1.23s/it]

train:  56%|█████▌    | 1964/3515 [40:12<31:44,  1.23s/it]
overall:  49%|████▉     | 1965/4000 [40:15<40:09,  1.18s/it]

train:  56%|█████▌    | 1965/3515 [40:13<30:35,  1.18s/it]
overall:  49%|████▉     | 1966/4000 [40:16<40:55,  1.21s/it]

train:  56%|█████▌    | 1966/3515 [40:14<31:09,  1.21s/it]
overall:  49%|████▉     | 1967/4000 [40:17<40:18,  1.19s/it]

train:  56%|█████▌    | 1967/3515 [40:16<30:41,  1.19s/it]
overall:  49%|████▉     | 1968/4000 [40:18<33:27,  1.01it/s]

train:  56%|█████▌    | 1968/3515 [40:16<25:28,  1.01it/s]
overall:  49%|████▉     | 1969/4000 [40:19<35:16,  1.04s/it]

train:  56%|█████▌    | 1969/3515 [40:17<26:50,  1.04s/it]
overall:  49%|████▉     | 1970/4000 [40:20<37:15,  1.10s/it]

train:  56%|█████▌    | 1970/3515 [40:19<28:21,  1.10s/it]
overall:  49%|████▉     | 1971/4000 [40:22<38:17,  1.13s/it]

train:  56%|█████▌    | 1971/3515 [40:20<29:08,  1.13s/it]
overall:  49%|████▉     | 1972/4000 [40:23<39:30,  1.17s/it]

train:  56%|█████▌    | 1972/3515 [40:21<30:03,  1.17s/it]
overall:  49%|████▉     | 1973/4000 [40:24<40:44,  1.21s/it]

train:  56%|█████▌    | 1973/3515 [40:22<30:59,  1.21s/it]
overall:  49%|████▉     | 1974/4000 [40:25<40:55,  1.21s/it]

train:  56%|█████▌    | 1974/3515 [40:23<31:07,  1.21s/it]
overall:  49%|████▉     | 1975/4000 [40:26<33:03,  1.02it/s]

train:  56%|█████▌    | 1975/3515 [40:24<25:08,  1.02it/s]
overall:  49%|████▉     | 1976/4000 [40:27<35:41,  1.06s/it]

train:  56%|█████▌    | 1976/3515 [40:25<27:08,  1.06s/it]
overall:  49%|████▉     | 1977/4000 [40:28<37:35,  1.11s/it]

train:  56%|█████▌    | 1977/3515 [40:26<28:34,  1.11s/it]
overall:  49%|████▉     | 1978/4000 [40:29<38:15,  1.14s/it]

train:  56%|█████▋    | 1978/3515 [40:28<29:05,  1.14s/it]
overall:  49%|████▉     | 1979/4000 [40:31<39:13,  1.16s/it]

train:  56%|█████▋    | 1979/3515 [40:29<29:48,  1.16s/it]
overall:  50%|████▉     | 1980/4000 [40:32<39:25,  1.17s/it]

train:  56%|█████▋    | 1980/3515 [40:30<29:57,  1.17s/it]
overall:  50%|████▉     | 1981/4000 [40:33<38:29,  1.14s/it]

train:  56%|█████▋    | 1981/3515 [40:31<29:14,  1.14s/it]
overall:  50%|████▉     | 1982/4000 [40:34<39:27,  1.17s/it]

train:  56%|█████▋    | 1982/3515 [40:32<29:58,  1.17s/it]
overall:  50%|████▉     | 1983/4000 [40:35<40:47,  1.21s/it]

train:  56%|█████▋    | 1983/3515 [40:34<30:58,  1.21s/it]
overall:  50%|████▉     | 1984/4000 [40:37<41:32,  1.24s/it]

train:  56%|█████▋    | 1984/3515 [40:35<31:33,  1.24s/it]
overall:  50%|████▉     | 1985/4000 [40:38<41:33,  1.24s/it]

train:  56%|█████▋    | 1985/3515 [40:36<31:33,  1.24s/it]
overall:  50%|████▉     | 1986/4000 [40:39<41:33,  1.24s/it]

train:  57%|█████▋    | 1986/3515 [40:37<31:32,  1.24s/it]
overall:  50%|████▉     | 1987/4000 [40:40<41:27,  1.24s/it]

train:  57%|█████▋    | 1987/3515 [40:39<31:27,  1.24s/it]
overall:  50%|████▉     | 1988/4000 [40:42<40:34,  1.21s/it]

train:  57%|█████▋    | 1988/3515 [40:40<30:47,  1.21s/it]
overall:  50%|████▉     | 1989/4000 [40:43<44:43,  1.33s/it]

train:  57%|█████▋    | 1989/3515 [40:41<33:56,  1.33s/it]
overall:  50%|████▉     | 1990/4000 [40:44<43:17,  1.29s/it]

train:  57%|█████▋    | 1990/3515 [40:43<32:50,  1.29s/it]
overall:  50%|████▉     | 1991/4000 [40:46<42:28,  1.27s/it]

train:  57%|█████▋    | 1991/3515 [40:44<32:13,  1.27s/it]
overall:  50%|████▉     | 1992/4000 [40:47<42:23,  1.27s/it]

train:  57%|█████▋    | 1992/3515 [40:45<32:09,  1.27s/it]
overall:  50%|████▉     | 1993/4000 [40:48<42:41,  1.28s/it]

train:  57%|█████▋    | 1993/3515 [40:46<32:22,  1.28s/it]
overall:  50%|████▉     | 1994/4000 [40:49<40:19,  1.21s/it]

train:  57%|█████▋    | 1994/3515 [40:47<30:34,  1.21s/it]
overall:  50%|████▉     | 1995/4000 [40:50<39:50,  1.19s/it]

train:  57%|█████▋    | 1995/3515 [40:49<30:12,  1.19s/it]
overall:  50%|████▉     | 1996/4000 [40:52<39:53,  1.19s/it]

train:  57%|█████▋    | 1996/3515 [40:50<30:14,  1.19s/it]
overall:  50%|████▉     | 1997/4000 [40:53<40:51,  1.22s/it]

train:  57%|█████▋    | 1997/3515 [40:51<30:57,  1.22s/it]
overall:  50%|████▉     | 1998/4000 [40:54<41:07,  1.23s/it]

train:  57%|█████▋    | 1998/3515 [40:52<31:09,  1.23s/it]
overall:  50%|████▉     | 1999/4000 [40:55<40:42,  1.22s/it]

train:  57%|█████▋    | 1999/3515 [40:54<30:50,  1.22s/it]dev loss: 7.54205322265625
dev per: 0.75420395421436
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 6.914132595062256
train per: 0.8219565217391305
train loss: 6.521263122558594
train per: 0.7560498177102449
train loss: 5.669140815734863
train per: 0.7345572916666666
train loss: 5.893756866455078
train per: 0.7609666257394798
train loss: 7.117220401763916
train per: 0.790165436743356
train loss: 5.214609146118164
train per: 0.7329513912020074
train loss: 5.244776725769043
train per: 0.7570916764821358
train loss: 6.122847080230713
train per: 0.8018417281460645
train loss: 7.264006614685059
train per: 0.7684640658218063
train loss: 6.474675178527832
train per: 0.7470912098939546
train loss: 7.287705421447754
train per: 0.8124662778448652
train loss: 6.057378768920898
train per: 0.7799516850438901
train loss: 6.007506370544434
train per: 0.736420744379369
train loss: 6.623940467834473
train per: 0.7376411241892866
train loss: 6.001572132110596
train per: 0.7184643939571929
train loss: 7.463165283203125
train per: 0.780799340749897
train loss: 6.705944061279297
train per: 0.7449606343179407
train loss: 7.7508745193481445
train per: 0.7852675293104758
train loss: 6.792895317077637
train per: 0.7486897205615107
train loss: 7.182286739349365
train per: 0.7653612424037812
train loss: 4.795998573303223
train per: 0.6986734351803074
train loss: 4.86271858215332
train per: 0.7061269818766097
train loss: 4.992606163024902
train per: 0.7163902099524417
train loss: 5.1266584396362305
train per: 0.7310554717270658
train loss: 9.910711288452148
train per: 0.959726197149854
train loss: 7.45604944229126
train per: 0.7610797358093232
train loss: 9.35804557800293
train per: 0.8067096081588835
train loss: 9.436943054199219
train per: 0.8080384073999598
train loss: 8.319574356079102
train per: 0.7827885904488928
train loss: 6.776915550231934
train per: 0.7634208513892429
train loss: 6.809391975402832
train per: 0.7670445473415296
train loss: 7.156507968902588
train per: 0.7768770826932622
train loss: 8.97630500793457
train per: 0.8049435787211177
train loss: 6.910190582275391
train per: 0.746803355915474
train loss: 7.152224063873291
train per: 0.7889953519773572
train loss: 6.577266693115234
train per: 0.7439948965821822
train loss: 6.2222723960876465
train per: 0.7418125352907962
train loss: 6.100104331970215
train per: 0.7299412915851272
train loss: 6.645332336425781
train per: 0.7720842502357749
train loss: 6.658880710601807
train per: 0.7424381986108691
train loss: 6.523107051849365
train per: 0.7416981458163593
train loss: 6.993582725524902
train per: 0.7684067249766844
train loss: 8.098374366760254
train per: 0.7969672705434891
train loss: 6.9850945472717285
train per: 0.7426490227024402
train loss: 5.7272796630859375
train per: 0.7149200488936563
train loss: 10.325037956237793
train per: 0.7965307443365696
train loss: 7.073428153991699
train per: 0.7221672788923424
train loss: 5.347494602203369
train per: 0.6964590039765196
train loss: 6.382659435272217
train per: 0.7854232797620535
train loss: 5.958062648773193
train per: 0.6992000725146729
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▍        | 389/2703 [00:00<00:00, 3882.92it/s]


word -> phonemes:  30%|██▉       | 807/2703 [00:00<00:00, 4018.54it/s]


word -> phonemes:  45%|████▍     | 1209/2703 [00:00<00:00, 3905.11it/s]


word -> phonemes:  61%|██████    | 1654/2703 [00:00<00:00, 4114.73it/s]


word -> phonemes:  80%|███████▉  | 2156/2703 [00:00<00:00, 4348.24it/s]


word -> phonemes:  96%|█████████▌| 2591/2703 [00:00<00:00, 4317.65it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4192.14it/s]



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overall:  74%|███████▍  | 2964/4000 [1:02:00<18:42,  1.08s/it]

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overall:  74%|███████▍  | 2966/4000 [1:02:03<18:51,  1.09s/it]

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overall:  75%|███████▍  | 2995/4000 [1:02:34<18:08,  1.08s/it]

train:  85%|████████▌ | 2995/3515 [1:02:32<09:23,  1.08s/it]
overall:  75%|███████▍  | 2996/4000 [1:02:36<19:10,  1.15s/it]

train:  85%|████████▌ | 2996/3515 [1:02:34<09:54,  1.15s/it]
overall:  75%|███████▍  | 2997/4000 [1:02:37<20:54,  1.25s/it]

train:  85%|████████▌ | 2997/3515 [1:02:35<10:47,  1.25s/it]
overall:  75%|███████▍  | 2998/4000 [1:02:38<20:57,  1.25s/it]

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overall:  75%|███████▍  | 2999/4000 [1:02:39<19:28,  1.17s/it]

train:  85%|████████▌ | 2999/3515 [1:02:38<10:02,  1.17s/it]dev loss: 5.560507297515869
dev per: 0.6780801248699272
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 5.114627838134766
train per: 0.7142680971759773
train loss: 5.813319206237793
train per: 0.7085933866901633
train loss: 6.460278511047363
train per: 0.739814256422627
train loss: 7.1197190284729
train per: 0.7358105040108975
train loss: 6.9237380027771
train per: 0.7373644869065887
train loss: 8.852813720703125
train per: 0.7819045266134124
train loss: 8.317394256591797
train per: 0.7861672319716856
train loss: 6.334309101104736
train per: 0.7257681580342531
train loss: 5.525323390960693
train per: 0.7433908387864366
train loss: 4.95128870010376
train per: 0.6986607627357774
train loss: 4.842199802398682
train per: 0.7204880817253121
train loss: 6.255865097045898
train per: 0.7880930176589152
train loss: 9.066675186157227
train per: 0.8168778269235575
train loss: 13.883058547973633
train per: 0.7798385920560066
train loss: 13.053112983703613
train per: 0.7601528092074847
train loss: 8.084856986999512
train per: 0.7146564810734048
train loss: 9.720113754272461
train per: 0.7422338568935427
train loss: 9.131647109985352
train per: 0.7433417477380379
train loss: 6.413054466247559
train per: 0.7237471669604634
train loss: 5.828097343444824
train per: 0.7241172168825741
train loss: 5.482605934143066
train per: 0.7040144988703791
train loss: 5.848084926605225
train per: 0.728713403169487
train loss: 8.307762145996094
train per: 0.7811838569288211
train loss: 6.954257011413574
train per: 0.7544050357711657
train loss: 8.549529075622559
train per: 0.7446500028997274
train loss: 9.703532218933105
train per: 0.7590851270795401
train loss: 9.872736930847168
train per: 0.7178469395494653
train loss: 7.088095664978027
train per: 0.6983506837120744
train loss: 5.086953163146973
train per: 0.667273491107688
train loss: 7.1541547775268555
train per: 0.7905536578772762
train loss: 5.432553768157959
train per: 0.7272426035502959
train loss: 7.968156337738037
train per: 0.8239770654156894
train loss: 7.394288063049316
train per: 0.7754159877549005
train loss: 5.273300647735596
train per: 0.7042183734600572
train loss: 4.626410484313965
train per: 0.7138848055592677
train loss: 6.849312782287598
train per: 0.8619165014202261
train loss: 8.285614967346191
train per: 0.7526016549063405
train loss: 9.564552307128906
train per: 0.7666101031196971
train loss: 6.7223968505859375
train per: 0.7032413828530334
train loss: 5.643184661865234
train per: 0.6958690493486367
train loss: 5.013394355773926
train per: 0.6787593265735603
train loss: 6.287150859832764
train per: 0.7709324391068133
train loss: 6.560965061187744
train per: 0.7401410087549392
train loss: 7.113946437835693
train per: 0.774309694684345
train loss: 7.520709037780762
train per: 0.7338818487261568
train loss: 10.194584846496582
train per: 0.7499876010514308
train loss: 12.66908073425293
train per: 0.8483588898745407
train loss: 7.285742282867432
train per: 0.7095284801799
train loss: 7.893910884857178
train per: 0.7827862289831865
train loss: 7.19916296005249
train per: 0.7425288443351618
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 498/2703 [00:00<00:00, 4973.04it/s]


word -> phonemes:  39%|███▉      | 1055/2703 [00:00<00:00, 5319.56it/s]


word -> phonemes:  59%|█████▊    | 1587/2703 [00:00<00:00, 5039.41it/s]


word -> phonemes:  77%|███████▋  | 2093/2703 [00:00<00:00, 4618.07it/s]


word -> phonemes:  95%|█████████▍| 2560/2703 [00:00<00:00, 4292.04it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4478.97it/s]



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overall:  80%|████████  | 3211/4000 [1:09:32<14:23,  1.09s/it]

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overall:  80%|████████  | 3212/4000 [1:09:33<11:46,  1.12it/s]

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overall:  80%|████████  | 3213/4000 [1:09:33<10:06,  1.30it/s]

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overall:  80%|████████  | 3214/4000 [1:09:34<11:19,  1.16it/s]

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overall:  80%|████████  | 3215/4000 [1:09:36<13:00,  1.01it/s]

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overall:  80%|████████  | 3216/4000 [1:09:37<13:47,  1.06s/it]

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overall:  80%|████████  | 3217/4000 [1:09:38<14:43,  1.13s/it]

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overall:  81%|████████  | 3225/4000 [1:09:48<16:09,  1.25s/it]

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overall:  81%|████████  | 3226/4000 [1:09:49<16:18,  1.26s/it]

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overall:  88%|████████▊ | 3515/4000 [1:15:20<09:25,  1.17s/it]

train: 100%|██████████| 3515/3515 [1:15:18<00:00,  1.17s/it]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [1:15:18<00:00,  1.29s/it]
dev loss: 8.919854164123535
dev per: 1.054006243496358
train loss: 6.0109734535217285
train per: 0.7284667073915699
train loss: 5.209961414337158
train per: 0.7108250082078702
train loss: 8.585583686828613
train per: 0.7844377818173234
train loss: 7.332998752593994
train per: 0.7030547063355952
train loss: 8.354305267333984
train per: 0.764402088623848
train loss: 7.947253227233887
train per: 0.7353397700665597
train loss: 8.53356647491455
train per: 0.7574050615853165
train loss: 6.4679059982299805
train per: 0.7132622539560015
train loss: 5.355189323425293
train per: 0.6787193495108627
train loss: 6.1551690101623535
train per: 0.7212076123737071
train loss: 5.555480003356934
train per: 0.7312859884836852
train loss: 6.015597343444824
train per: 0.74785940678367
train loss: 6.136562824249268
train per: 0.732981322016334
train loss: 6.101326942443848
train per: 0.7397032612360904
train loss: 5.8982086181640625
train per: 0.7371839424805272
train loss: 5.222746849060059
train per: 0.7081139632717838
train loss: 5.6408514976501465
train per: 0.7207750808324604
train loss: 8.898711204528809
train per: 0.8338173048528399
train loss: 11.76353645324707
train per: 0.7945219123505977
train loss: 7.729353427886963
train per: 0.7186503781268179
train loss: 8.977128028869629
train per: 0.7953797132235794
train loss: 8.764494895935059
train per: 0.7444252031437325
train loss: 7.625311374664307
train per: 0.7176283563923594
train loss: 7.354158878326416
train per: 0.698036221964831
train loss: 6.033955097198486
train per: 0.6952491041498092
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 457/3515 [00:00<00:00, 4563.28it/s]

word -> phonemes:  27%|██▋       | 962/3515 [00:00<00:00, 4848.25it/s]

word -> phonemes:  42%|████▏     | 1479/3515 [00:00<00:00, 4993.00it/s]

word -> phonemes:  56%|█████▋    | 1984/3515 [00:00<00:00, 5014.21it/s]

word -> phonemes:  71%|███████   | 2486/3515 [00:00<00:00, 4940.03it/s]

word -> phonemes:  85%|████████▍ | 2981/3515 [00:00<00:00, 4933.12it/s]

word -> phonemes:  99%|█████████▉| 3475/3515 [00:00<00:00, 4847.98it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4891.45it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:15:24<17:11,  2.13s/it]

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overall:  88%|████████▊ | 3518/4000 [1:15:27<13:55,  1.73s/it]

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overall:  88%|████████▊ | 3519/4000 [1:15:28<12:31,  1.56s/it]

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overall:  88%|████████▊ | 3520/4000 [1:15:29<11:47,  1.47s/it]

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overall:  88%|████████▊ | 3535/4000 [1:15:47<09:44,  1.26s/it]

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overall:  88%|████████▊ | 3537/4000 [1:15:50<09:50,  1.28s/it]

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overall:  89%|████████▊ | 3542/4000 [1:15:56<09:20,  1.22s/it]

train:   1%|          | 27/3515 [00:34<1:11:05,  1.22s/it]
overall:  89%|████████▊ | 3543/4000 [1:15:57<09:19,  1.23s/it]

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overall:  89%|████████▊ | 3544/4000 [1:15:58<09:04,  1.19s/it]

train:   1%|          | 29/3515 [00:36<1:09:20,  1.19s/it]
overall:  89%|████████▊ | 3545/4000 [1:16:00<09:22,  1.24s/it]

train:   1%|          | 30/3515 [00:37<1:11:50,  1.24s/it]
overall:  89%|████████▊ | 3546/4000 [1:16:01<09:06,  1.20s/it]

train:   1%|          | 31/3515 [00:38<1:09:56,  1.20s/it]
overall:  89%|████████▊ | 3547/4000 [1:16:01<07:19,  1.03it/s]

train:   1%|          | 32/3515 [00:39<56:18,  1.03it/s]  
overall:  89%|████████▊ | 3548/4000 [1:16:02<08:03,  1.07s/it]

train:   1%|          | 33/3515 [00:40<1:02:03,  1.07s/it]
overall:  89%|████████▊ | 3549/4000 [1:16:04<08:31,  1.14s/it]

train:   1%|          | 34/3515 [00:41<1:05:50,  1.14s/it]
overall:  89%|████████▉ | 3550/4000 [1:16:05<08:43,  1.16s/it]

train:   1%|          | 35/3515 [00:43<1:07:31,  1.16s/it]
overall:  89%|████████▉ | 3551/4000 [1:16:06<08:42,  1.16s/it]

train:   1%|          | 36/3515 [00:44<1:07:25,  1.16s/it]
overall:  89%|████████▉ | 3552/4000 [1:16:07<08:51,  1.19s/it]

train:   1%|          | 37/3515 [00:45<1:08:48,  1.19s/it]
overall:  89%|████████▉ | 3553/4000 [1:16:09<08:59,  1.21s/it]

train:   1%|          | 38/3515 [00:46<1:09:54,  1.21s/it]
overall:  89%|████████▉ | 3554/4000 [1:16:10<09:11,  1.24s/it]

train:   1%|          | 39/3515 [00:48<1:11:38,  1.24s/it]
overall:  89%|████████▉ | 3555/4000 [1:16:11<09:11,  1.24s/it]

train:   1%|          | 40/3515 [00:49<1:11:44,  1.24s/it]
overall:  89%|████████▉ | 3556/4000 [1:16:12<09:13,  1.25s/it]

train:   1%|          | 41/3515 [00:50<1:12:11,  1.25s/it]
overall:  89%|████████▉ | 3557/4000 [1:16:14<09:13,  1.25s/it]

train:   1%|          | 42/3515 [00:51<1:12:22,  1.25s/it]
overall:  89%|████████▉ | 3558/4000 [1:16:15<08:41,  1.18s/it]

train:   1%|          | 43/3515 [00:52<1:08:15,  1.18s/it]
overall:  89%|████████▉ | 3559/4000 [1:16:16<08:39,  1.18s/it]

train:   1%|▏         | 44/3515 [00:54<1:08:05,  1.18s/it]
overall:  89%|████████▉ | 3560/4000 [1:16:17<08:55,  1.22s/it]

train:   1%|▏         | 45/3515 [00:55<1:10:19,  1.22s/it]
overall:  89%|████████▉ | 3561/4000 [1:16:18<08:54,  1.22s/it]

train:   1%|▏         | 46/3515 [00:56<1:10:26,  1.22s/it]
overall:  89%|████████▉ | 3562/4000 [1:16:19<07:36,  1.04s/it]

train:   1%|▏         | 47/3515 [00:57<1:00:14,  1.04s/it]
overall:  89%|████████▉ | 3563/4000 [1:16:20<07:13,  1.01it/s]

train:   1%|▏         | 48/3515 [00:58<57:19,  1.01it/s]  
overall:  89%|████████▉ | 3564/4000 [1:16:21<07:52,  1.08s/it]

train:   1%|▏         | 49/3515 [00:59<1:02:34,  1.08s/it]
overall:  89%|████████▉ | 3565/4000 [1:16:22<08:19,  1.15s/it]

train:   1%|▏         | 50/3515 [01:00<1:06:22,  1.15s/it]
overall:  89%|████████▉ | 3566/4000 [1:16:24<08:17,  1.15s/it]

train:   1%|▏         | 51/3515 [01:01<1:06:09,  1.15s/it]
overall:  89%|████████▉ | 3567/4000 [1:16:25<08:35,  1.19s/it]

train:   1%|▏         | 52/3515 [01:03<1:08:45,  1.19s/it]
overall:  89%|████████▉ | 3568/4000 [1:16:26<08:30,  1.18s/it]

train:   2%|▏         | 53/3515 [01:04<1:08:07,  1.18s/it]
overall:  89%|████████▉ | 3569/4000 [1:16:27<08:42,  1.21s/it]

train:   2%|▏         | 54/3515 [01:05<1:09:52,  1.21s/it]
overall:  89%|████████▉ | 3570/4000 [1:16:28<08:31,  1.19s/it]

train:   2%|▏         | 55/3515 [01:06<1:08:32,  1.19s/it]
overall:  89%|████████▉ | 3571/4000 [1:16:30<08:45,  1.22s/it]

train:   2%|▏         | 56/3515 [01:08<1:10:33,  1.22s/it]
overall:  89%|████████▉ | 3572/4000 [1:16:31<08:54,  1.25s/it]

train:   2%|▏         | 57/3515 [01:09<1:12:01,  1.25s/it]
overall:  89%|████████▉ | 3573/4000 [1:16:32<09:00,  1.27s/it]

train:   2%|▏         | 58/3515 [01:10<1:12:53,  1.27s/it]
overall:  89%|████████▉ | 3574/4000 [1:16:34<09:06,  1.28s/it]

train:   2%|▏         | 59/3515 [01:12<1:13:51,  1.28s/it]
overall:  89%|████████▉ | 3575/4000 [1:16:35<09:07,  1.29s/it]

train:   2%|▏         | 60/3515 [01:13<1:14:08,  1.29s/it]
overall:  89%|████████▉ | 3576/4000 [1:16:36<09:03,  1.28s/it]

train:   2%|▏         | 61/3515 [01:14<1:13:43,  1.28s/it]
overall:  89%|████████▉ | 3577/4000 [1:16:38<09:02,  1.28s/it]

train:   2%|▏         | 62/3515 [01:15<1:13:51,  1.28s/it]
overall:  89%|████████▉ | 3578/4000 [1:16:39<08:52,  1.26s/it]

train:   2%|▏         | 63/3515 [01:17<1:12:37,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:16:40<08:48,  1.25s/it]

train:   2%|▏         | 64/3515 [01:18<1:12:09,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:16:41<08:42,  1.24s/it]

train:   2%|▏         | 65/3515 [01:19<1:11:31,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:16:42<08:30,  1.22s/it]

train:   2%|▏         | 66/3515 [01:20<1:10:01,  1.22s/it]
overall:  90%|████████▉ | 3582/4000 [1:16:44<08:31,  1.22s/it]

train:   2%|▏         | 67/3515 [01:21<1:10:16,  1.22s/it]
overall:  90%|████████▉ | 3583/4000 [1:16:45<08:41,  1.25s/it]

train:   2%|▏         | 68/3515 [01:23<1:11:51,  1.25s/it]
overall:  90%|████████▉ | 3584/4000 [1:16:46<08:32,  1.23s/it]

train:   2%|▏         | 69/3515 [01:24<1:10:48,  1.23s/it]
overall:  90%|████████▉ | 3585/4000 [1:16:47<07:46,  1.12s/it]

train:   2%|▏         | 70/3515 [01:25<1:04:30,  1.12s/it]
overall:  90%|████████▉ | 3586/4000 [1:16:48<07:44,  1.12s/it]

train:   2%|▏         | 71/3515 [01:26<1:04:20,  1.12s/it]
overall:  90%|████████▉ | 3587/4000 [1:16:49<08:05,  1.18s/it]

train:   2%|▏         | 72/3515 [01:27<1:07:30,  1.18s/it]
overall:  90%|████████▉ | 3588/4000 [1:16:51<08:18,  1.21s/it]

train:   2%|▏         | 73/3515 [01:29<1:09:25,  1.21s/it]
overall:  90%|████████▉ | 3589/4000 [1:16:52<08:28,  1.24s/it]

train:   2%|▏         | 74/3515 [01:30<1:11:00,  1.24s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:53<08:36,  1.26s/it]

train:   2%|▏         | 75/3515 [01:31<1:12:10,  1.26s/it]
overall:  90%|████████▉ | 3591/4000 [1:16:55<08:38,  1.27s/it]

train:   2%|▏         | 76/3515 [01:32<1:12:38,  1.27s/it]
overall:  90%|████████▉ | 3592/4000 [1:16:56<08:30,  1.25s/it]

train:   2%|▏         | 77/3515 [01:34<1:11:44,  1.25s/it]
overall:  90%|████████▉ | 3593/4000 [1:16:57<08:42,  1.28s/it]

train:   2%|▏         | 78/3515 [01:35<1:13:29,  1.28s/it]
overall:  90%|████████▉ | 3594/4000 [1:16:58<08:21,  1.24s/it]

train:   2%|▏         | 79/3515 [01:36<1:10:44,  1.24s/it]
overall:  90%|████████▉ | 3595/4000 [1:16:59<08:08,  1.21s/it]

train:   2%|▏         | 80/3515 [01:37<1:09:05,  1.21s/it]
overall:  90%|████████▉ | 3596/4000 [1:17:01<08:02,  1.20s/it]

train:   2%|▏         | 81/3515 [01:38<1:08:23,  1.20s/it]
overall:  90%|████████▉ | 3597/4000 [1:17:02<08:13,  1.23s/it]

train:   2%|▏         | 82/3515 [01:40<1:10:05,  1.23s/it]
overall:  90%|████████▉ | 3598/4000 [1:17:03<08:24,  1.26s/it]

train:   2%|▏         | 83/3515 [01:41<1:11:50,  1.26s/it]
overall:  90%|████████▉ | 3599/4000 [1:17:05<08:29,  1.27s/it]

train:   2%|▏         | 84/3515 [01:42<1:12:37,  1.27s/it]
overall:  90%|█████████ | 3600/4000 [1:17:06<08:37,  1.29s/it]

train:   2%|▏         | 85/3515 [01:44<1:13:58,  1.29s/it]
overall:  90%|█████████ | 3601/4000 [1:17:07<08:38,  1.30s/it]

train:   2%|▏         | 86/3515 [01:45<1:14:18,  1.30s/it]
overall:  90%|█████████ | 3602/4000 [1:17:08<08:20,  1.26s/it]

train:   2%|▏         | 87/3515 [01:46<1:11:46,  1.26s/it]
overall:  90%|█████████ | 3603/4000 [1:17:10<08:17,  1.25s/it]

train:   3%|▎         | 88/3515 [01:47<1:11:38,  1.25s/it]
overall:  90%|█████████ | 3604/4000 [1:17:11<08:04,  1.22s/it]

train:   3%|▎         | 89/3515 [01:49<1:09:52,  1.22s/it]
overall:  90%|█████████ | 3605/4000 [1:17:12<08:04,  1.23s/it]

train:   3%|▎         | 90/3515 [01:50<1:10:00,  1.23s/it]
overall:  90%|█████████ | 3606/4000 [1:17:13<07:56,  1.21s/it]

train:   3%|▎         | 91/3515 [01:51<1:08:59,  1.21s/it]
overall:  90%|█████████ | 3607/4000 [1:17:14<07:56,  1.21s/it]

train:   3%|▎         | 92/3515 [01:52<1:09:12,  1.21s/it]
overall:  90%|█████████ | 3608/4000 [1:17:16<08:06,  1.24s/it]

train:   3%|▎         | 93/3515 [01:53<1:10:46,  1.24s/it]
overall:  90%|█████████ | 3609/4000 [1:17:16<06:24,  1.02it/s]

train:   3%|▎         | 94/3515 [01:54<56:04,  1.02it/s]  
overall:  90%|█████████ | 3610/4000 [1:17:17<06:23,  1.02it/s]

train:   3%|▎         | 95/3515 [01:55<56:03,  1.02it/s]
overall:  90%|█████████ | 3611/4000 [1:17:18<06:43,  1.04s/it]

train:   3%|▎         | 96/3515 [01:56<59:09,  1.04s/it]
overall:  90%|█████████ | 3612/4000 [1:17:19<06:53,  1.07s/it]

train:   3%|▎         | 97/3515 [01:57<1:00:45,  1.07s/it]
overall:  90%|█████████ | 3613/4000 [1:17:21<07:06,  1.10s/it]

train:   3%|▎         | 98/3515 [01:58<1:02:42,  1.10s/it]
overall:  90%|█████████ | 3614/4000 [1:17:22<07:12,  1.12s/it]

train:   3%|▎         | 99/3515 [02:00<1:03:50,  1.12s/it]
overall:  90%|█████████ | 3615/4000 [1:17:23<07:20,  1.14s/it]

train:   3%|▎         | 100/3515 [02:01<1:05:07,  1.14s/it]
overall:  90%|█████████ | 3616/4000 [1:17:24<07:32,  1.18s/it]

train:   3%|▎         | 101/3515 [02:02<1:07:01,  1.18s/it]
overall:  90%|█████████ | 3617/4000 [1:17:25<07:42,  1.21s/it]

train:   3%|▎         | 102/3515 [02:03<1:08:38,  1.21s/it]
overall:  90%|█████████ | 3618/4000 [1:17:27<07:50,  1.23s/it]

train:   3%|▎         | 103/3515 [02:05<1:10:02,  1.23s/it]
overall:  90%|█████████ | 3619/4000 [1:17:27<06:39,  1.05s/it]

train:   3%|▎         | 104/3515 [02:05<59:36,  1.05s/it]  
overall:  90%|█████████ | 3620/4000 [1:17:28<05:44,  1.10it/s]

train:   3%|▎         | 105/3515 [02:06<51:28,  1.10it/s]
overall:  91%|█████████ | 3621/4000 [1:17:28<04:30,  1.40it/s]

train:   3%|▎         | 106/3515 [02:06<40:35,  1.40it/s]
overall:  91%|█████████ | 3622/4000 [1:17:29<05:27,  1.15it/s]

train:   3%|▎         | 107/3515 [02:07<49:15,  1.15it/s]
overall:  91%|█████████ | 3623/4000 [1:17:31<06:16,  1.00it/s]

train:   3%|▎         | 108/3515 [02:09<56:44,  1.00it/s]
overall:  91%|█████████ | 3624/4000 [1:17:32<06:34,  1.05s/it]

train:   3%|▎         | 109/3515 [02:10<59:31,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:17:32<05:29,  1.14it/s]

train:   3%|▎         | 110/3515 [02:10<49:54,  1.14it/s]
overall:  91%|█████████ | 3626/4000 [1:17:34<06:15,  1.00s/it]

train:   3%|▎         | 111/3515 [02:11<57:00,  1.00s/it]
overall:  91%|█████████ | 3627/4000 [1:17:35<06:33,  1.06s/it]

train:   3%|▎         | 112/3515 [02:13<59:53,  1.06s/it]
overall:  91%|█████████ | 3628/4000 [1:17:36<07:03,  1.14s/it]

train:   3%|▎         | 113/3515 [02:14<1:04:33,  1.14s/it]
overall:  91%|█████████ | 3629/4000 [1:17:37<07:16,  1.18s/it]

train:   3%|▎         | 114/3515 [02:15<1:06:45,  1.18s/it]
overall:  91%|█████████ | 3630/4000 [1:17:38<05:38,  1.09it/s]

train:   3%|▎         | 115/3515 [02:16<51:50,  1.09it/s]  
overall:  91%|█████████ | 3631/4000 [1:17:39<06:13,  1.01s/it]

train:   3%|▎         | 116/3515 [02:17<57:16,  1.01s/it]
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overall:  92%|█████████▏| 3691/4000 [1:18:49<06:22,  1.24s/it]

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overall:  92%|█████████▏| 3692/4000 [1:18:50<05:48,  1.13s/it]

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overall:  92%|█████████▏| 3694/4000 [1:18:52<05:15,  1.03s/it]

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overall:  92%|█████████▏| 3695/4000 [1:18:53<05:38,  1.11s/it]

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train:  14%|█▍        | 484/3515 [09:22<56:32,  1.12s/it]train loss: 5.929560661315918
train per: 0.7226228247283915
train loss: 6.614013671875
train per: 0.7336012630974594
train loss: 6.033752918243408
train per: 0.7136707810393113
train loss: 7.142182350158691
train per: 0.7648123883263848
train loss: 7.762598514556885
train per: 0.7593935686822789
train loss: 7.001668453216553
train per: 0.7670937325200436
train loss: 7.840628623962402
train per: 0.7911592241768155
train loss: 6.1417155265808105
train per: 0.699206101743698
train loss: 5.4214911460876465
train per: 0.7206237816764133
train loss: 7.729817867279053
train per: 0.7505481410867493
train loss: 7.6295166015625
train per: 0.7071787542072018
train loss: 6.914522647857666
train per: 0.7252222671246716
train loss: 7.062225341796875
train per: 0.7008527485914421
train loss: 7.042548179626465
train per: 0.7293916724797345
train loss: 7.348409175872803
train per: 0.8284523985603708
train loss: 6.290525436401367
train per: 0.7230068228446014
train loss: 5.379256248474121
train per: 0.6781620314389359
train loss: 7.536503791809082
train per: 0.82273855811121
train loss: 7.770801544189453
train per: 0.7577880134092829
train loss: 5.697880268096924
train per: 0.6823373782085528
train loss: 4.7528510093688965
train per: 0.6957196107372476
train loss: 7.166860103607178
train per: 0.8162515312372397
train loss: 8.924890518188477
train per: 0.8244064626733856
train loss: 6.235377311706543
train per: 0.7023646716562648
train loss: 6.2812347412109375
train per: 0.7541736227045075
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 471/2703 [00:00<00:00, 4703.48it/s]


word -> phonemes:  35%|███▍      | 942/2703 [00:00<00:00, 4317.60it/s]


word -> phonemes:  53%|█████▎    | 1438/2703 [00:00<00:00, 4594.64it/s]


word -> phonemes:  70%|███████   | 1900/2703 [00:00<00:00, 4346.79it/s]


word -> phonemes:  86%|████████▋ | 2338/2703 [00:00<00:00, 4131.25it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4197.00it/s]



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overall: 100%|█████████▉| 3999/4000 [1:27:34<00:01,  1.12s/it]

train:  14%|█▍        | 484/3515 [12:11<56:32,  1.12s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:27:34<00:01,  1.12s/it]

train:  14%|█▍        | 484/3515 [12:11<56:32,  1.12s/it]
overall: 100%|██████████| 4000/4000 [1:27:34<00:00, 51.72s/it]

train:  14%|█▍        | 485/3515 [12:11<43:32:02, 51.72s/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 [12:12<1:16:15,  1.51s/it] 

overall: 100%|██████████| 4000/4000 [1:27:34<00:00,  1.31s/it]
dev loss: 8.55217456817627
dev per: 0.744630593132154
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt