/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:  13%|█▎        | 446/3515 [00:00<00:00, 4456.31it/s]

word -> phonemes:  27%|██▋       | 940/3515 [00:00<00:00, 4739.34it/s]

word -> phonemes:  40%|████      | 1414/3515 [00:00<00:00, 4607.20it/s]

word -> phonemes:  54%|█████▍    | 1891/3515 [00:00<00:00, 4669.02it/s]

word -> phonemes:  67%|██████▋   | 2359/3515 [00:00<00:00, 4648.30it/s]

word -> phonemes:  80%|████████  | 2825/3515 [00:00<00:00, 4615.79it/s]

word -> phonemes:  94%|█████████▎| 3287/3515 [00:00<00:00, 4573.53it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4594.20it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:03:53,  4.56s/it]

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overall:   0%|          | 5/4000 [00:09<1:40:19,  1.51s/it]

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overall:   0%|          | 7/4000 [00:12<1:33:14,  1.40s/it]

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overall:   0%|          | 8/4000 [00:13<1:29:14,  1.34s/it]

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overall:   0%|          | 9/4000 [00:14<1:27:02,  1.31s/it]

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overall:   0%|          | 15/4000 [00:19<1:10:55,  1.07s/it]

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overall:   0%|          | 16/4000 [00:21<1:14:21,  1.12s/it]

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overall:   0%|          | 17/4000 [00:22<1:15:08,  1.13s/it]

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overall:   0%|          | 18/4000 [00:23<1:18:17,  1.18s/it]

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overall:   0%|          | 19/4000 [00:23<1:03:23,  1.05it/s]

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overall:   0%|          | 20/4000 [00:25<1:08:59,  1.04s/it]

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overall:   1%|          | 21/4000 [00:26<1:14:59,  1.13s/it]

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overall:   1%|          | 22/4000 [00:27<1:18:13,  1.18s/it]

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overall:   1%|          | 23/4000 [00:29<1:20:14,  1.21s/it]

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overall:   1%|          | 24/4000 [00:30<1:18:20,  1.18s/it]

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overall:   1%|          | 25/4000 [00:31<1:17:45,  1.17s/it]

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overall:   1%|          | 26/4000 [00:32<1:18:50,  1.19s/it]

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overall:   1%|          | 27/4000 [00:33<1:20:57,  1.22s/it]

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overall:   1%|          | 28/4000 [00:35<1:19:34,  1.20s/it]

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overall:   1%|          | 29/4000 [00:36<1:19:11,  1.20s/it]

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overall:   1%|          | 30/4000 [00:37<1:23:10,  1.26s/it]

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overall:   1%|          | 31/4000 [00:38<1:23:45,  1.27s/it]

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overall:   1%|          | 32/4000 [00:40<1:23:14,  1.26s/it]

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overall:   1%|          | 33/4000 [00:41<1:23:08,  1.26s/it]

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overall:   1%|          | 34/4000 [00:41<1:03:42,  1.04it/s]

train:   1%|          | 34/3515 [00:39<55:54,  1.04it/s]  
overall:   1%|          | 35/4000 [00:42<1:09:59,  1.06s/it]

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overall:   1%|          | 36/4000 [00:44<1:14:19,  1.13s/it]

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overall:   1%|          | 37/4000 [00:45<1:14:26,  1.13s/it]

train:   1%|          | 37/3515 [00:43<1:05:19,  1.13s/it]
overall:   1%|          | 38/4000 [00:46<1:15:40,  1.15s/it]

train:   1%|          | 38/3515 [00:44<1:06:25,  1.15s/it]
overall:   1%|          | 39/4000 [00:47<1:15:39,  1.15s/it]

train:   1%|          | 39/3515 [00:45<1:06:23,  1.15s/it]
overall:   1%|          | 40/4000 [00:48<1:08:03,  1.03s/it]

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overall:   1%|          | 41/4000 [00:49<1:11:05,  1.08s/it]

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overall:   1%|          | 42/4000 [00:50<1:14:10,  1.12s/it]

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overall:   1%|          | 43/4000 [00:52<1:14:52,  1.14s/it]

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overall:   1%|          | 45/4000 [00:53<1:05:39,  1.00it/s]

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overall:   1%|          | 46/4000 [00:54<54:37,  1.21it/s]  

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overall:   1%|          | 48/4000 [00:56<1:03:25,  1.04it/s]

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overall:   1%|▏         | 50/4000 [00:58<1:10:47,  1.08s/it]

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overall:   1%|▏         | 51/4000 [01:00<1:12:15,  1.10s/it]

train:   1%|▏         | 51/3515 [00:58<1:03:22,  1.10s/it]
overall:   1%|▏         | 52/4000 [01:01<1:15:19,  1.14s/it]

train:   1%|▏         | 52/3515 [00:59<1:06:04,  1.14s/it]
overall:   1%|▏         | 53/4000 [01:02<1:16:38,  1.17s/it]

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overall:   1%|▏         | 57/4000 [01:07<1:21:19,  1.24s/it]

train:   2%|▏         | 57/3515 [01:05<1:11:19,  1.24s/it]
overall:   1%|▏         | 58/4000 [01:08<1:22:32,  1.26s/it]

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overall:   2%|▏         | 60/4000 [01:11<1:20:30,  1.23s/it]

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overall:   2%|▏         | 65/4000 [01:16<1:15:46,  1.16s/it]

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overall:   6%|▋         | 251/4000 [04:54<1:05:19,  1.05s/it]

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train:   8%|▊         | 264/3515 [05:08<1:07:57,  1.25s/it]
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train:   8%|▊         | 265/3515 [05:09<1:09:13,  1.28s/it]
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train:   8%|▊         | 266/3515 [05:11<1:09:40,  1.29s/it]
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train:   8%|▊         | 267/3515 [05:12<1:08:49,  1.27s/it]
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train:   8%|▊         | 268/3515 [05:13<1:08:33,  1.27s/it]
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train:   8%|▊         | 269/3515 [05:14<1:03:19,  1.17s/it]
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train:   8%|▊         | 282/3515 [05:30<1:06:20,  1.23s/it]
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train:   8%|▊         | 283/3515 [05:31<1:05:13,  1.21s/it]
overall:   7%|▋         | 284/4000 [05:34<1:10:36,  1.14s/it]

train:   8%|▊         | 284/3515 [05:32<1:01:23,  1.14s/it]
overall:   7%|▋         | 285/4000 [05:35<1:12:07,  1.16s/it]

train:   8%|▊         | 285/3515 [05:33<1:02:42,  1.16s/it]
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train:   8%|▊         | 286/3515 [05:34<54:42,  1.02s/it]  
overall:   7%|▋         | 287/4000 [05:37<1:02:50,  1.02s/it]

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overall:   7%|▋         | 288/4000 [05:38<1:06:45,  1.08s/it]

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train:  10%|▉         | 337/3515 [06:29<57:50,  1.09s/it]
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overall:   8%|▊         | 339/4000 [06:33<55:29,  1.10it/s]  

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overall:  11%|█▏        | 459/4000 [08:48<1:09:17,  1.17s/it]

train:  13%|█▎        | 459/3515 [08:46<59:48,  1.17s/it]
overall:  12%|█▏        | 460/4000 [08:50<1:10:11,  1.19s/it]

train:  13%|█▎        | 460/3515 [08:48<1:00:34,  1.19s/it]
overall:  12%|█▏        | 461/4000 [08:51<1:10:33,  1.20s/it]

train:  13%|█▎        | 461/3515 [08:49<1:00:53,  1.20s/it]
overall:  12%|█▏        | 462/4000 [08:52<1:11:49,  1.22s/it]

train:  13%|█▎        | 462/3515 [08:50<1:01:59,  1.22s/it]
overall:  12%|█▏        | 463/4000 [08:53<1:13:03,  1.24s/it]

train:  13%|█▎        | 463/3515 [08:51<1:03:02,  1.24s/it]
overall:  12%|█▏        | 464/4000 [08:54<1:10:49,  1.20s/it]

train:  13%|█▎        | 464/3515 [08:53<1:01:06,  1.20s/it]
overall:  12%|█▏        | 465/4000 [08:55<1:08:28,  1.16s/it]

train:  13%|█▎        | 465/3515 [08:54<59:04,  1.16s/it]  
overall:  12%|█▏        | 466/4000 [08:57<1:09:03,  1.17s/it]

train:  13%|█▎        | 466/3515 [08:55<59:34,  1.17s/it]
overall:  12%|█▏        | 467/4000 [08:58<1:11:10,  1.21s/it]

train:  13%|█▎        | 467/3515 [08:56<1:01:24,  1.21s/it]
overall:  12%|█▏        | 468/4000 [08:59<59:36,  1.01s/it]  

train:  13%|█▎        | 468/3515 [08:57<51:25,  1.01s/it]  
overall:  12%|█▏        | 469/4000 [09:00<1:03:02,  1.07s/it]

train:  13%|█▎        | 469/3515 [08:58<54:22,  1.07s/it]
overall:  12%|█▏        | 470/4000 [09:01<1:04:26,  1.10s/it]

train:  13%|█▎        | 470/3515 [08:59<55:35,  1.10s/it]
overall:  12%|█▏        | 471/4000 [09:02<1:07:23,  1.15s/it]

train:  13%|█▎        | 471/3515 [09:00<58:07,  1.15s/it]
overall:  12%|█▏        | 472/4000 [09:03<1:08:50,  1.17s/it]

train:  13%|█▎        | 472/3515 [09:02<59:23,  1.17s/it]
overall:  12%|█▏        | 473/4000 [09:05<1:10:48,  1.20s/it]

train:  13%|█▎        | 473/3515 [09:03<1:01:04,  1.20s/it]
overall:  12%|█▏        | 474/4000 [09:05<56:54,  1.03it/s]  

train:  13%|█▎        | 474/3515 [09:03<49:04,  1.03it/s]  
overall:  12%|█▏        | 475/4000 [09:06<53:48,  1.09it/s]

train:  14%|█▎        | 475/3515 [09:04<46:24,  1.09it/s]
overall:  12%|█▏        | 476/4000 [09:07<59:44,  1.02s/it]

train:  14%|█▎        | 476/3515 [09:05<51:31,  1.02s/it]
overall:  12%|█▏        | 477/4000 [09:08<1:05:03,  1.11s/it]

train:  14%|█▎        | 477/3515 [09:07<56:06,  1.11s/it]
overall:  12%|█▏        | 478/4000 [09:10<1:07:16,  1.15s/it]

train:  14%|█▎        | 478/3515 [09:08<58:00,  1.15s/it]
overall:  12%|█▏        | 479/4000 [09:11<1:08:21,  1.16s/it]

train:  14%|█▎        | 479/3515 [09:09<58:56,  1.16s/it]
overall:  12%|█▏        | 480/4000 [09:12<1:04:56,  1.11s/it]

train:  14%|█▎        | 480/3515 [09:10<55:59,  1.11s/it]
overall:  12%|█▏        | 481/4000 [09:13<1:05:42,  1.12s/it]

train:  14%|█▎        | 481/3515 [09:11<56:39,  1.12s/it]
overall:  12%|█▏        | 482/4000 [09:14<1:08:17,  1.16s/it]

train:  14%|█▎        | 482/3515 [09:12<58:52,  1.16s/it]
overall:  12%|█▏        | 483/4000 [09:15<1:07:40,  1.15s/it]

train:  14%|█▎        | 483/3515 [09:14<58:20,  1.15s/it]
overall:  12%|█▏        | 484/4000 [09:17<1:08:25,  1.17s/it]

train:  14%|█▍        | 484/3515 [09:15<58:59,  1.17s/it]
overall:  12%|█▏        | 485/4000 [09:18<1:05:02,  1.11s/it]

train:  14%|█▍        | 485/3515 [09:16<56:03,  1.11s/it]
overall:  12%|█▏        | 486/4000 [09:19<1:10:02,  1.20s/it]

train:  14%|█▍        | 486/3515 [09:17<1:00:22,  1.20s/it]
overall:  12%|█▏        | 487/4000 [09:20<1:12:40,  1.24s/it]

train:  14%|█▍        | 487/3515 [09:18<1:02:38,  1.24s/it]
overall:  12%|█▏        | 488/4000 [09:21<57:33,  1.02it/s]  

train:  14%|█▍        | 488/3515 [09:19<49:36,  1.02it/s]  
overall:  12%|█▏        | 489/4000 [09:22<56:13,  1.04it/s]

train:  14%|█▍        | 489/3515 [09:20<48:27,  1.04it/s]
overall:  12%|█▏        | 490/4000 [09:23<1:01:07,  1.04s/it]

train:  14%|█▍        | 490/3515 [09:21<52:40,  1.04s/it]
overall:  12%|█▏        | 491/4000 [09:24<1:03:08,  1.08s/it]

train:  14%|█▍        | 491/3515 [09:22<54:25,  1.08s/it]
overall:  12%|█▏        | 492/4000 [09:25<53:56,  1.08it/s]  

train:  14%|█▍        | 492/3515 [09:23<46:28,  1.08it/s]
overall:  12%|█▏        | 493/4000 [09:26<58:41,  1.00s/it]

train:  14%|█▍        | 493/3515 [09:24<50:34,  1.00s/it]
overall:  12%|█▏        | 494/4000 [09:27<1:01:46,  1.06s/it]

train:  14%|█▍        | 494/3515 [09:25<53:13,  1.06s/it]
overall:  12%|█▏        | 495/4000 [09:28<1:04:59,  1.11s/it]

train:  14%|█▍        | 495/3515 [09:26<55:59,  1.11s/it]
overall:  12%|█▏        | 496/4000 [09:29<1:05:40,  1.12s/it]

train:  14%|█▍        | 496/3515 [09:28<56:35,  1.12s/it]
overall:  12%|█▏        | 497/4000 [09:31<1:07:25,  1.15s/it]

train:  14%|█▍        | 497/3515 [09:29<58:05,  1.15s/it]
overall:  12%|█▏        | 498/4000 [09:32<1:07:37,  1.16s/it]

train:  14%|█▍        | 498/3515 [09:30<58:15,  1.16s/it]
overall:  12%|█▏        | 499/4000 [09:33<1:05:07,  1.12s/it]

train:  14%|█▍        | 499/3515 [09:31<56:06,  1.12s/it]
overall:  12%|█▎        | 500/4000 [09:33<55:57,  1.04it/s]  

train:  14%|█▍        | 500/3515 [09:32<48:12,  1.04it/s]
overall:  13%|█▎        | 501/4000 [09:35<1:01:49,  1.06s/it]

train:  14%|█▍        | 501/3515 [09:33<53:15,  1.06s/it]
overall:  13%|█▎        | 502/4000 [09:36<1:04:43,  1.11s/it]

train:  14%|█▍        | 502/3515 [09:34<55:45,  1.11s/it]
overall:  13%|█▎        | 503/4000 [09:37<1:07:38,  1.16s/it]

train:  14%|█▍        | 503/3515 [09:35<58:15,  1.16s/it]
overall:  13%|█▎        | 504/4000 [09:38<1:08:49,  1.18s/it]

train:  14%|█▍        | 504/3515 [09:37<59:16,  1.18s/it]
overall:  13%|█▎        | 505/4000 [09:40<1:11:42,  1.23s/it]

train:  14%|█▍        | 505/3515 [09:38<1:01:45,  1.23s/it]
overall:  13%|█▎        | 506/4000 [09:41<1:08:13,  1.17s/it]

train:  14%|█▍        | 506/3515 [09:39<58:44,  1.17s/it]  
overall:  13%|█▎        | 507/4000 [09:42<1:09:30,  1.19s/it]

train:  14%|█▍        | 507/3515 [09:40<59:51,  1.19s/it]
overall:  13%|█▎        | 508/4000 [09:43<1:10:34,  1.21s/it]

train:  14%|█▍        | 508/3515 [09:41<1:00:46,  1.21s/it]
overall:  13%|█▎        | 509/4000 [09:45<1:16:52,  1.32s/it]

train:  14%|█▍        | 509/3515 [09:43<1:06:11,  1.32s/it]
overall:  13%|█▎        | 510/4000 [09:46<1:15:18,  1.29s/it]

train:  15%|█▍        | 510/3515 [09:44<1:04:50,  1.29s/it]
overall:  13%|█▎        | 511/4000 [09:47<1:12:50,  1.25s/it]

train:  15%|█▍        | 511/3515 [09:45<1:02:42,  1.25s/it]
overall:  13%|█▎        | 512/4000 [09:48<1:11:14,  1.23s/it]

train:  15%|█▍        | 512/3515 [09:47<1:01:20,  1.23s/it]
overall:  13%|█▎        | 513/4000 [09:50<1:12:50,  1.25s/it]

train:  15%|█▍        | 513/3515 [09:48<1:02:42,  1.25s/it]
overall:  13%|█▎        | 514/4000 [09:51<1:10:46,  1.22s/it]

train:  15%|█▍        | 514/3515 [09:49<1:00:55,  1.22s/it]
overall:  13%|█▎        | 515/4000 [09:52<1:08:34,  1.18s/it]

train:  15%|█▍        | 515/3515 [09:50<59:01,  1.18s/it]  
overall:  13%|█▎        | 516/4000 [09:53<1:10:37,  1.22s/it]

train:  15%|█▍        | 516/3515 [09:51<1:00:47,  1.22s/it]
overall:  13%|█▎        | 517/4000 [09:54<1:09:51,  1.20s/it]

train:  15%|█▍        | 517/3515 [09:53<1:00:07,  1.20s/it]
overall:  13%|█▎        | 518/4000 [09:55<58:39,  1.01s/it]  

train:  15%|█▍        | 518/3515 [09:53<50:29,  1.01s/it]  
overall:  13%|█▎        | 519/4000 [09:56<1:04:08,  1.11s/it]

train:  15%|█▍        | 519/3515 [09:54<55:12,  1.11s/it]
overall:  13%|█▎        | 520/4000 [09:58<1:05:38,  1.13s/it]

train:  15%|█▍        | 520/3515 [09:56<56:29,  1.13s/it]
overall:  13%|█▎        | 521/4000 [09:59<1:07:51,  1.17s/it]

train:  15%|█▍        | 521/3515 [09:57<58:24,  1.17s/it]
overall:  13%|█▎        | 522/4000 [10:00<1:09:05,  1.19s/it]

train:  15%|█▍        | 522/3515 [09:58<59:27,  1.19s/it]
overall:  13%|█▎        | 523/4000 [10:01<1:10:09,  1.21s/it]

train:  15%|█▍        | 523/3515 [09:59<1:00:22,  1.21s/it]
overall:  13%|█▎        | 524/4000 [10:03<1:10:41,  1.22s/it]

train:  15%|█▍        | 524/3515 [10:01<1:00:49,  1.22s/it]
overall:  13%|█▎        | 525/4000 [10:04<1:11:53,  1.24s/it]

train:  15%|█▍        | 525/3515 [10:02<1:01:51,  1.24s/it]
overall:  13%|█▎        | 526/4000 [10:05<1:12:38,  1.25s/it]

train:  15%|█▍        | 526/3515 [10:03<1:02:30,  1.25s/it]
overall:  13%|█▎        | 527/4000 [10:06<1:11:52,  1.24s/it]

train:  15%|█▍        | 527/3515 [10:04<1:01:50,  1.24s/it]
overall:  13%|█▎        | 528/4000 [10:07<54:25,  1.06it/s]  

train:  15%|█▌        | 528/3515 [10:05<46:49,  1.06it/s]  
overall:  13%|█▎        | 529/4000 [10:08<59:31,  1.03s/it]

train:  15%|█▌        | 529/3515 [10:06<51:12,  1.03s/it]
overall:  13%|█▎        | 530/4000 [10:09<1:03:25,  1.10s/it]

train:  15%|█▌        | 530/3515 [10:07<54:33,  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<59:29,  1.03s/it]

train:  15%|█▌        | 532/3515 [10:09<51:10,  1.03s/it]
overall:  13%|█▎        | 533/4000 [10:12<1:04:43,  1.12s/it]

train:  15%|█▌        | 533/3515 [10:10<55:40,  1.12s/it]
overall:  13%|█▎        | 534/4000 [10:13<56:47,  1.02it/s]  

train:  15%|█▌        | 534/3515 [10:11<48:50,  1.02it/s]
overall:  13%|█▎        | 535/4000 [10:14<1:00:49,  1.05s/it]

train:  15%|█▌        | 535/3515 [10:12<52:18,  1.05s/it]
overall:  13%|█▎        | 536/4000 [10:15<1:02:56,  1.09s/it]

train:  15%|█▌        | 536/3515 [10:13<54:07,  1.09s/it]
overall:  13%|█▎        | 537/4000 [10:17<1:07:57,  1.18s/it]

train:  15%|█▌        | 537/3515 [10:15<58:26,  1.18s/it]
overall:  13%|█▎        | 538/4000 [10:18<1:10:07,  1.22s/it]

train:  15%|█▌        | 538/3515 [10:16<1:00:18,  1.22s/it]
overall:  13%|█▎        | 539/4000 [10:19<1:02:28,  1.08s/it]

train:  15%|█▌        | 539/3515 [10:17<53:43,  1.08s/it]  
overall:  14%|█▎        | 540/4000 [10:19<53:40,  1.07it/s]  

train:  15%|█▌        | 540/3515 [10:17<46:08,  1.07it/s]
overall:  14%|█▎        | 541/4000 [10:21<59:59,  1.04s/it]

train:  15%|█▌        | 541/3515 [10:19<51:35,  1.04s/it]
overall:  14%|█▎        | 542/4000 [10:22<1:02:51,  1.09s/it]

train:  15%|█▌        | 542/3515 [10:20<54:02,  1.09s/it]
overall:  14%|█▎        | 543/4000 [10:23<1:05:27,  1.14s/it]

train:  15%|█▌        | 543/3515 [10:21<56:16,  1.14s/it]
overall:  14%|█▎        | 544/4000 [10:24<1:05:45,  1.14s/it]

train:  15%|█▌        | 544/3515 [10:22<56:31,  1.14s/it]
overall:  14%|█▎        | 545/4000 [10:25<1:07:31,  1.17s/it]

train:  16%|█▌        | 545/3515 [10:24<58:03,  1.17s/it]
overall:  14%|█▎        | 546/4000 [10:27<1:07:15,  1.17s/it]

train:  16%|█▌        | 546/3515 [10:25<57:48,  1.17s/it]
overall:  14%|█▎        | 547/4000 [10:28<1:08:51,  1.20s/it]

train:  16%|█▌        | 547/3515 [10:26<59:11,  1.20s/it]
overall:  14%|█▎        | 548/4000 [10:29<1:08:35,  1.19s/it]

train:  16%|█▌        | 548/3515 [10:27<58:56,  1.19s/it]
overall:  14%|█▎        | 549/4000 [10:30<1:10:24,  1.22s/it]

train:  16%|█▌        | 549/3515 [10:28<1:00:31,  1.22s/it]
overall:  14%|█▍        | 550/4000 [10:32<1:10:59,  1.23s/it]

train:  16%|█▌        | 550/3515 [10:30<1:01:00,  1.23s/it]
overall:  14%|█▍        | 551/4000 [10:33<1:10:08,  1.22s/it]

train:  16%|█▌        | 551/3515 [10:31<1:00:16,  1.22s/it]
overall:  14%|█▍        | 552/4000 [10:34<1:02:21,  1.09s/it]

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

train:  16%|█▌        | 553/3515 [10:33<54:01,  1.09s/it]
overall:  14%|█▍        | 554/4000 [10:36<1:05:41,  1.14s/it]

train:  16%|█▌        | 554/3515 [10:34<56:27,  1.14s/it]
overall:  14%|█▍        | 555/4000 [10:36<52:30,  1.09it/s]  

train:  16%|█▌        | 555/3515 [10:34<45:07,  1.09it/s]
overall:  14%|█▍        | 556/4000 [10:38<58:09,  1.01s/it]

train:  16%|█▌        | 556/3515 [10:36<49:58,  1.01s/it]
overall:  14%|█▍        | 557/4000 [10:39<1:07:18,  1.17s/it]

train:  16%|█▌        | 557/3515 [10:37<57:49,  1.17s/it]
overall:  14%|█▍        | 558/4000 [10:40<1:08:19,  1.19s/it]

train:  16%|█▌        | 558/3515 [10:38<58:41,  1.19s/it]
overall:  14%|█▍        | 559/4000 [10:42<1:09:19,  1.21s/it]

train:  16%|█▌        | 559/3515 [10:40<59:33,  1.21s/it]
overall:  14%|█▍        | 560/4000 [10:43<1:06:04,  1.15s/it]

train:  16%|█▌        | 560/3515 [10:41<56:45,  1.15s/it]
overall:  14%|█▍        | 561/4000 [10:44<1:07:06,  1.17s/it]

train:  16%|█▌        | 561/3515 [10:42<57:38,  1.17s/it]
overall:  14%|█▍        | 562/4000 [10:45<1:02:17,  1.09s/it]

train:  16%|█▌        | 562/3515 [10:43<53:30,  1.09s/it]
overall:  14%|█▍        | 563/4000 [10:46<1:04:44,  1.13s/it]

train:  16%|█▌        | 563/3515 [10:44<55:36,  1.13s/it]
overall:  14%|█▍        | 564/4000 [10:47<1:07:34,  1.18s/it]

train:  16%|█▌        | 564/3515 [10:45<58:02,  1.18s/it]
overall:  14%|█▍        | 565/4000 [10:48<54:44,  1.05it/s]  

train:  16%|█▌        | 565/3515 [10:46<47:00,  1.05it/s]
overall:  14%|█▍        | 566/4000 [10:49<59:59,  1.05s/it]

train:  16%|█▌        | 566/3515 [10:47<51:30,  1.05s/it]
overall:  14%|█▍        | 567/4000 [10:50<1:03:03,  1.10s/it]

train:  16%|█▌        | 567/3515 [10:48<54:09,  1.10s/it]
overall:  14%|█▍        | 568/4000 [10:50<48:54,  1.17it/s]  

train:  16%|█▌        | 568/3515 [10:49<42:00,  1.17it/s]
overall:  14%|█▍        | 569/4000 [10:52<55:24,  1.03it/s]

train:  16%|█▌        | 569/3515 [10:50<47:34,  1.03it/s]
overall:  14%|█▍        | 570/4000 [10:53<1:00:06,  1.05s/it]

train:  16%|█▌        | 570/3515 [10:51<51:36,  1.05s/it]
overall:  14%|█▍        | 571/4000 [10:54<1:04:28,  1.13s/it]

train:  16%|█▌        | 571/3515 [10:52<55:21,  1.13s/it]
overall:  14%|█▍        | 572/4000 [10:55<1:06:15,  1.16s/it]

train:  16%|█▋        | 572/3515 [10:54<56:52,  1.16s/it]
overall:  14%|█▍        | 573/4000 [10:57<1:08:30,  1.20s/it]

train:  16%|█▋        | 573/3515 [10:55<58:48,  1.20s/it]
overall:  14%|█▍        | 574/4000 [10:58<1:08:51,  1.21s/it]

train:  16%|█▋        | 574/3515 [10:56<59:07,  1.21s/it]
overall:  14%|█▍        | 575/4000 [10:59<1:10:15,  1.23s/it]

train:  16%|█▋        | 575/3515 [10:57<1:00:18,  1.23s/it]
overall:  14%|█▍        | 576/4000 [11:00<1:10:14,  1.23s/it]

train:  16%|█▋        | 576/3515 [10:59<1:00:17,  1.23s/it]
overall:  14%|█▍        | 577/4000 [11:02<1:08:09,  1.19s/it]

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overall:  14%|█▍        | 578/4000 [11:03<1:08:38,  1.20s/it]

train:  16%|█▋        | 578/3515 [11:01<58:54,  1.20s/it]
overall:  14%|█▍        | 579/4000 [11:03<59:00,  1.03s/it]  

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overall:  14%|█▍        | 580/4000 [11:05<1:01:35,  1.08s/it]

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overall:  15%|█▍        | 581/4000 [11:06<1:07:09,  1.18s/it]

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overall:  15%|█▍        | 582/4000 [11:07<1:06:28,  1.17s/it]

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overall:  15%|█▍        | 583/4000 [11:08<1:08:47,  1.21s/it]

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overall:  15%|█▍        | 584/4000 [11:10<1:06:08,  1.16s/it]

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overall:  15%|█▍        | 585/4000 [11:11<1:08:17,  1.20s/it]

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overall:  15%|█▍        | 586/4000 [11:12<1:09:44,  1.23s/it]

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overall:  15%|█▍        | 587/4000 [11:13<1:10:57,  1.25s/it]

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overall:  15%|█▍        | 588/4000 [11:15<1:10:38,  1.24s/it]

train:  17%|█▋        | 588/3515 [11:13<1:00:36,  1.24s/it]
overall:  15%|█▍        | 589/4000 [11:16<1:08:49,  1.21s/it]

train:  17%|█▋        | 589/3515 [11:14<59:02,  1.21s/it]  
overall:  15%|█▍        | 590/4000 [11:16<59:14,  1.04s/it]  

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overall:  15%|█▍        | 591/4000 [11:18<1:03:38,  1.12s/it]

train:  17%|█▋        | 591/3515 [11:16<54:35,  1.12s/it]
overall:  15%|█▍        | 592/4000 [11:19<1:05:36,  1.15s/it]

train:  17%|█▋        | 592/3515 [11:17<56:15,  1.15s/it]
overall:  15%|█▍        | 593/4000 [11:20<1:04:58,  1.14s/it]

train:  17%|█▋        | 593/3515 [11:18<55:43,  1.14s/it]
overall:  15%|█▍        | 594/4000 [11:21<1:05:24,  1.15s/it]

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overall:  15%|█▍        | 595/4000 [11:22<1:06:24,  1.17s/it]

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overall:  15%|█▍        | 596/4000 [11:24<1:07:29,  1.19s/it]

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overall:  15%|█▍        | 597/4000 [11:24<58:15,  1.03s/it]  

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overall:  15%|█▍        | 598/4000 [11:26<1:01:46,  1.09s/it]

train:  17%|█▋        | 598/3515 [11:24<52:57,  1.09s/it]
overall:  15%|█▍        | 599/4000 [11:27<1:02:26,  1.10s/it]

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overall:  15%|█▌        | 600/4000 [11:28<59:43,  1.05s/it]  

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overall:  15%|█▌        | 601/4000 [11:29<56:42,  1.00s/it]

train:  17%|█▋        | 601/3515 [11:27<48:37,  1.00s/it]
overall:  15%|█▌        | 602/4000 [11:30<59:56,  1.06s/it]

train:  17%|█▋        | 602/3515 [11:28<51:23,  1.06s/it]
overall:  15%|█▌        | 603/4000 [11:31<1:02:43,  1.11s/it]

train:  17%|█▋        | 603/3515 [11:29<53:45,  1.11s/it]
overall:  15%|█▌        | 604/4000 [11:32<1:04:00,  1.13s/it]

train:  17%|█▋        | 604/3515 [11:30<54:51,  1.13s/it]
overall:  15%|█▌        | 605/4000 [11:34<1:11:34,  1.26s/it]

train:  17%|█▋        | 605/3515 [11:32<1:01:20,  1.26s/it]
overall:  15%|█▌        | 606/4000 [11:35<1:08:22,  1.21s/it]

train:  17%|█▋        | 606/3515 [11:33<58:35,  1.21s/it]  
overall:  15%|█▌        | 607/4000 [11:36<1:02:28,  1.10s/it]

train:  17%|█▋        | 607/3515 [11:34<53:32,  1.10s/it]
overall:  15%|█▌        | 608/4000 [11:37<1:04:31,  1.14s/it]

train:  17%|█▋        | 608/3515 [11:35<55:18,  1.14s/it]
overall:  15%|█▌        | 609/4000 [11:38<1:05:40,  1.16s/it]

train:  17%|█▋        | 609/3515 [11:36<56:16,  1.16s/it]
overall:  15%|█▌        | 610/4000 [11:39<1:06:50,  1.18s/it]

train:  17%|█▋        | 610/3515 [11:37<57:17,  1.18s/it]
overall:  15%|█▌        | 611/4000 [11:40<54:32,  1.04it/s]  

train:  17%|█▋        | 611/3515 [11:38<46:44,  1.04it/s]
overall:  15%|█▌        | 612/4000 [11:40<48:41,  1.16it/s]

train:  17%|█▋        | 612/3515 [11:39<41:43,  1.16it/s]
overall:  15%|█▌        | 613/4000 [11:42<54:48,  1.03it/s]

train:  17%|█▋        | 613/3515 [11:40<46:57,  1.03it/s]
overall:  15%|█▌        | 614/4000 [11:43<1:00:18,  1.07s/it]

train:  17%|█▋        | 614/3515 [11:41<51:40,  1.07s/it]
overall:  15%|█▌        | 615/4000 [11:44<1:03:03,  1.12s/it]

train:  17%|█▋        | 615/3515 [11:42<54:01,  1.12s/it]
overall:  15%|█▌        | 616/4000 [11:45<1:03:20,  1.12s/it]

train:  18%|█▊        | 616/3515 [11:43<54:15,  1.12s/it]
overall:  15%|█▌        | 617/4000 [11:47<1:06:09,  1.17s/it]

train:  18%|█▊        | 617/3515 [11:45<56:40,  1.17s/it]
overall:  15%|█▌        | 618/4000 [11:48<1:06:59,  1.19s/it]

train:  18%|█▊        | 618/3515 [11:46<57:23,  1.19s/it]
overall:  15%|█▌        | 619/4000 [11:49<1:06:56,  1.19s/it]

train:  18%|█▊        | 619/3515 [11:47<57:20,  1.19s/it]
overall:  16%|█▌        | 620/4000 [11:50<1:07:43,  1.20s/it]

train:  18%|█▊        | 620/3515 [11:48<58:00,  1.20s/it]
overall:  16%|█▌        | 621/4000 [11:51<1:08:19,  1.21s/it]

train:  18%|█▊        | 621/3515 [11:50<58:30,  1.21s/it]
overall:  16%|█▌        | 622/4000 [11:53<1:08:15,  1.21s/it]

train:  18%|█▊        | 622/3515 [11:51<58:27,  1.21s/it]
overall:  16%|█▌        | 623/4000 [11:54<1:08:55,  1.22s/it]

train:  18%|█▊        | 623/3515 [11:52<59:01,  1.22s/it]
overall:  16%|█▌        | 624/4000 [11:55<1:09:05,  1.23s/it]

train:  18%|█▊        | 624/3515 [11:53<59:10,  1.23s/it]
overall:  16%|█▌        | 625/4000 [11:56<1:07:28,  1.20s/it]

train:  18%|█▊        | 625/3515 [11:54<57:46,  1.20s/it]
overall:  16%|█▌        | 626/4000 [11:57<1:07:02,  1.19s/it]

train:  18%|█▊        | 626/3515 [11:56<57:24,  1.19s/it]
overall:  16%|█▌        | 627/4000 [11:59<1:07:21,  1.20s/it]

train:  18%|█▊        | 627/3515 [11:57<57:40,  1.20s/it]
overall:  16%|█▌        | 628/4000 [12:00<1:07:44,  1.21s/it]

train:  18%|█▊        | 628/3515 [11:58<57:59,  1.21s/it]
overall:  16%|█▌        | 629/4000 [12:01<1:13:27,  1.31s/it]

train:  18%|█▊        | 629/3515 [12:00<1:02:53,  1.31s/it]
overall:  16%|█▌        | 630/4000 [12:02<1:07:54,  1.21s/it]

train:  18%|█▊        | 630/3515 [12:01<58:08,  1.21s/it]  
overall:  16%|█▌        | 631/4000 [12:04<1:06:52,  1.19s/it]

train:  18%|█▊        | 631/3515 [12:02<57:14,  1.19s/it]
overall:  16%|█▌        | 632/4000 [12:05<1:06:35,  1.19s/it]

train:  18%|█▊        | 632/3515 [12:03<57:00,  1.19s/it]
overall:  16%|█▌        | 633/4000 [12:06<1:09:17,  1.23s/it]

train:  18%|█▊        | 633/3515 [12:04<59:18,  1.23s/it]
overall:  16%|█▌        | 634/4000 [12:07<1:10:08,  1.25s/it]

train:  18%|█▊        | 634/3515 [12:06<1:00:02,  1.25s/it]
overall:  16%|█▌        | 635/4000 [12:08<56:06,  1.00s/it]  

train:  18%|█▊        | 635/3515 [12:06<48:01,  1.00s/it]  
overall:  16%|█▌        | 636/4000 [12:09<57:52,  1.03s/it]

train:  18%|█▊        | 636/3515 [12:07<49:31,  1.03s/it]
overall:  16%|█▌        | 637/4000 [12:10<1:01:22,  1.10s/it]

train:  18%|█▊        | 637/3515 [12:08<52:31,  1.10s/it]
overall:  16%|█▌        | 638/4000 [12:11<49:17,  1.14it/s]  

train:  18%|█▊        | 638/3515 [12:09<42:10,  1.14it/s]
overall:  16%|█▌        | 639/4000 [12:12<56:15,  1.00s/it]

train:  18%|█▊        | 639/3515 [12:10<48:08,  1.00s/it]
overall:  16%|█▌        | 640/4000 [12:13<56:26,  1.01s/it]

train:  18%|█▊        | 640/3515 [12:11<48:17,  1.01s/it]
overall:  16%|█▌        | 641/4000 [12:14<59:40,  1.07s/it]

train:  18%|█▊        | 641/3515 [12:12<51:03,  1.07s/it]
overall:  16%|█▌        | 642/4000 [12:15<1:01:37,  1.10s/it]

train:  18%|█▊        | 642/3515 [12:13<52:43,  1.10s/it]
overall:  16%|█▌        | 643/4000 [12:17<1:04:43,  1.16s/it]

train:  18%|█▊        | 643/3515 [12:15<55:22,  1.16s/it]
overall:  16%|█▌        | 644/4000 [12:18<1:05:35,  1.17s/it]

train:  18%|█▊        | 644/3515 [12:16<56:06,  1.17s/it]
overall:  16%|█▌        | 645/4000 [12:18<56:37,  1.01s/it]  

train:  18%|█▊        | 645/3515 [12:17<48:26,  1.01s/it]
overall:  16%|█▌        | 646/4000 [12:20<1:00:22,  1.08s/it]

train:  18%|█▊        | 646/3515 [12:18<51:38,  1.08s/it]
overall:  16%|█▌        | 647/4000 [12:21<1:00:17,  1.08s/it]

train:  18%|█▊        | 647/3515 [12:19<51:34,  1.08s/it]
overall:  16%|█▌        | 648/4000 [12:22<1:02:15,  1.11s/it]

train:  18%|█▊        | 648/3515 [12:20<53:15,  1.11s/it]
overall:  16%|█▌        | 649/4000 [12:23<1:04:20,  1.15s/it]

train:  18%|█▊        | 649/3515 [12:21<55:01,  1.15s/it]
overall:  16%|█▋        | 650/4000 [12:24<1:02:13,  1.11s/it]

train:  18%|█▊        | 650/3515 [12:22<53:12,  1.11s/it]
overall:  16%|█▋        | 651/4000 [12:25<1:04:57,  1.16s/it]

train:  19%|█▊        | 651/3515 [12:24<55:33,  1.16s/it]
overall:  16%|█▋        | 652/4000 [12:27<1:07:11,  1.20s/it]

train:  19%|█▊        | 652/3515 [12:25<57:27,  1.20s/it]
overall:  16%|█▋        | 653/4000 [12:28<1:12:56,  1.31s/it]

train:  19%|█▊        | 653/3515 [12:26<1:02:22,  1.31s/it]
overall:  16%|█▋        | 654/4000 [12:30<1:11:55,  1.29s/it]

train:  19%|█▊        | 654/3515 [12:28<1:01:30,  1.29s/it]
overall:  16%|█▋        | 655/4000 [12:30<1:06:09,  1.19s/it]

train:  19%|█▊        | 655/3515 [12:29<56:33,  1.19s/it]  
overall:  16%|█▋        | 656/4000 [12:32<1:07:02,  1.20s/it]

train:  19%|█▊        | 656/3515 [12:30<57:19,  1.20s/it]
overall:  16%|█▋        | 657/4000 [12:33<1:07:14,  1.21s/it]

train:  19%|█▊        | 657/3515 [12:31<57:29,  1.21s/it]
overall:  16%|█▋        | 658/4000 [12:34<1:05:03,  1.17s/it]

train:  19%|█▊        | 658/3515 [12:32<55:37,  1.17s/it]
overall:  16%|█▋        | 659/4000 [12:35<55:18,  1.01it/s]  

train:  19%|█▊        | 659/3515 [12:33<47:16,  1.01it/s]
overall:  16%|█▋        | 660/4000 [12:36<1:00:40,  1.09s/it]

train:  19%|█▉        | 660/3515 [12:34<51:51,  1.09s/it]
overall:  17%|█▋        | 661/4000 [12:37<1:03:55,  1.15s/it]

train:  19%|█▉        | 661/3515 [12:35<54:38,  1.15s/it]
overall:  17%|█▋        | 662/4000 [12:38<1:02:36,  1.13s/it]

train:  19%|█▉        | 662/3515 [12:36<53:30,  1.13s/it]
overall:  17%|█▋        | 663/4000 [12:39<1:03:01,  1.13s/it]

train:  19%|█▉        | 663/3515 [12:38<53:51,  1.13s/it]
overall:  17%|█▋        | 664/4000 [12:41<1:02:57,  1.13s/it]

train:  19%|█▉        | 664/3515 [12:39<53:48,  1.13s/it]
overall:  17%|█▋        | 665/4000 [12:42<1:04:47,  1.17s/it]

train:  19%|█▉        | 665/3515 [12:40<55:22,  1.17s/it]
overall:  17%|█▋        | 666/4000 [12:43<1:05:08,  1.17s/it]

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overall:  17%|█▋        | 667/4000 [12:44<1:02:28,  1.12s/it]

train:  19%|█▉        | 667/3515 [12:42<53:22,  1.12s/it]
overall:  17%|█▋        | 668/4000 [12:45<1:03:20,  1.14s/it]

train:  19%|█▉        | 668/3515 [12:43<54:07,  1.14s/it]
overall:  17%|█▋        | 669/4000 [12:46<1:00:35,  1.09s/it]

train:  19%|█▉        | 669/3515 [12:44<51:46,  1.09s/it]
overall:  17%|█▋        | 670/4000 [12:47<52:12,  1.06it/s]  

train:  19%|█▉        | 670/3515 [12:45<44:36,  1.06it/s]
overall:  17%|█▋        | 671/4000 [12:47<47:33,  1.17it/s]

train:  19%|█▉        | 671/3515 [12:46<40:37,  1.17it/s]
overall:  17%|█▋        | 672/4000 [12:49<52:31,  1.06it/s]

train:  19%|█▉        | 672/3515 [12:47<44:51,  1.06it/s]
overall:  17%|█▋        | 673/4000 [12:50<58:01,  1.05s/it]

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overall:  17%|█▋        | 674/4000 [12:50<45:34,  1.22it/s]

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overall:  17%|█▋        | 675/4000 [12:51<52:25,  1.06it/s]

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overall:  17%|█▋        | 676/4000 [12:53<57:04,  1.03s/it]

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overall:  17%|█▋        | 677/4000 [12:54<1:06:02,  1.19s/it]

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overall:  17%|█▋        | 678/4000 [12:55<1:06:32,  1.20s/it]

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overall:  17%|█▋        | 679/4000 [12:57<1:08:20,  1.23s/it]

train:  19%|█▉        | 679/3515 [12:55<58:21,  1.23s/it]
overall:  17%|█▋        | 680/4000 [12:58<1:09:30,  1.26s/it]

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overall:  17%|█▋        | 681/4000 [12:59<1:10:16,  1.27s/it]

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overall:  17%|█▋        | 682/4000 [13:01<1:09:44,  1.26s/it]

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overall:  17%|█▋        | 683/4000 [13:02<1:09:33,  1.26s/it]

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overall:  17%|█▋        | 686/4000 [13:05<1:04:48,  1.17s/it]

train:  20%|█▉        | 686/3515 [13:03<55:19,  1.17s/it]
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train:  28%|██▊       | 999/3515 [19:02<50:58,  1.22s/it]train loss: 193.36659240722656
train per: 1.0981039360698863
train loss: 206.3685760498047
train per: 1.0043801796869167
train loss: 87.63482666015625
train per: 0.9564070032986551
train loss: 51.190921783447266
train per: 1.1839398931655933
train loss: 31.4606876373291
train per: 0.9283598290405011
train loss: 25.927318572998047
train per: 0.9949076267171957
train loss: 29.108081817626953
train per: 0.970658732126622
train loss: 21.42023277282715
train per: 0.9205652261127332
train loss: 19.203454971313477
train per: 0.9482470431415695
train loss: 21.10287857055664
train per: 0.9729841845994296
train loss: 21.732357025146484
train per: 0.8976145930776427
train loss: 19.64061737060547
train per: 0.9014574777121106
train loss: 18.536836624145508
train per: 0.9131949821898715
train loss: 19.02828598022461
train per: 0.9509381872631135
train loss: 15.807629585266113
train per: 0.9282713896190031
train loss: 19.489158630371094
train per: 0.998440679757909
train loss: 17.125272750854492
train per: 0.9108574140476693
train loss: 16.610843658447266
train per: 0.9027170478958676
train loss: 12.066694259643555
train per: 0.9108870453095086
train loss: 11.286118507385254
train per: 0.9169549335978132
train loss: 11.59018611907959
train per: 0.9511113313675447
train loss: 11.300427436828613
train per: 0.9079653656299733
train loss: 11.022290229797363
train per: 0.9538191440639153
train loss: 10.012426376342773
train per: 0.880374113742646
train loss: 8.838502883911133
train per: 0.8386952870788286
train loss: 8.372505187988281
train per: 0.8716100802583242
train loss: 9.651084899902344
train per: 0.881058831878504
train loss: 8.277743339538574
train per: 0.9170301420599917
train loss: 6.984857082366943
train per: 0.8486661933258951
train loss: 7.086895942687988
train per: 0.8237476808905381
train loss: 6.535660743713379
train per: 0.8189109862861191
train loss: 6.735719203948975
train per: 0.8535373708123222
train loss: 6.75003719329834
train per: 0.7975566327035315
train loss: 7.595725059509277
train per: 0.8813260208514335
train loss: 7.379644870758057
train per: 0.8326934925825868
train loss: 8.959915161132812
train per: 0.8337033403892818
train loss: 7.8124895095825195
train per: 0.7984035019956225
train loss: 7.721429347991943
train per: 0.8228482812096148
train loss: 7.407254695892334
train per: 0.8604575976125342
train loss: 7.113195896148682
train per: 0.7657081218896326
train loss: 8.161840438842773
train per: 0.8560926655865354
train loss: 7.3027472496032715
train per: 0.8094280607685433
train loss: 7.5478105545043945
train per: 0.806877688423415
train loss: 6.517266750335693
train per: 0.7716712290306731
train loss: 6.120028018951416
train per: 0.780615474509422
train loss: 8.083826065063477
train per: 0.7891496823878547
train loss: 6.701910972595215
train per: 0.7476096833254221
train loss: 8.845576286315918
train per: 0.9019133780481464
train loss: 10.1809720993042
train per: 0.7935797715980334
train loss: 8.09424114227295
train per: 0.7965067989273594
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 528/2703 [00:00<00:00, 5269.65it/s]


word -> phonemes:  41%|████      | 1108/2703 [00:00<00:00, 5577.96it/s]


word -> phonemes:  62%|██████▏   | 1666/2703 [00:00<00:00, 5313.13it/s]


word -> phonemes:  81%|████████▏ | 2199/2703 [00:00<00:00, 4892.82it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5194.17it/s]



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train:  54%|█████▍    | 1894/3515 [38:52<33:00,  1.22s/it]
overall:  47%|████▋     | 1895/4000 [38:55<43:00,  1.23s/it]

train:  54%|█████▍    | 1895/3515 [38:53<33:06,  1.23s/it]
overall:  47%|████▋     | 1896/4000 [38:55<33:04,  1.06it/s]

train:  54%|█████▍    | 1896/3515 [38:53<25:26,  1.06it/s]
overall:  47%|████▋     | 1897/4000 [38:56<35:25,  1.01s/it]

train:  54%|█████▍    | 1897/3515 [38:55<27:15,  1.01s/it]
overall:  47%|████▋     | 1898/4000 [38:58<37:58,  1.08s/it]

train:  54%|█████▍    | 1898/3515 [38:56<29:12,  1.08s/it]
overall:  47%|████▋     | 1899/4000 [38:58<31:01,  1.13it/s]

train:  54%|█████▍    | 1899/3515 [38:56<23:51,  1.13it/s]
overall:  48%|████▊     | 1900/4000 [38:59<34:58,  1.00it/s]

train:  54%|█████▍    | 1900/3515 [38:57<26:53,  1.00it/s]
overall:  48%|████▊     | 1901/4000 [39:01<41:23,  1.18s/it]

train:  54%|█████▍    | 1901/3515 [38:59<31:49,  1.18s/it]
overall:  48%|████▊     | 1902/4000 [39:02<42:39,  1.22s/it]

train:  54%|█████▍    | 1902/3515 [39:00<32:47,  1.22s/it]
overall:  48%|████▊     | 1903/4000 [39:04<43:25,  1.24s/it]

train:  54%|█████▍    | 1903/3515 [39:02<33:23,  1.24s/it]
overall:  48%|████▊     | 1904/4000 [39:05<43:28,  1.24s/it]

train:  54%|█████▍    | 1904/3515 [39:03<33:24,  1.24s/it]
overall:  48%|████▊     | 1905/4000 [39:06<44:16,  1.27s/it]

train:  54%|█████▍    | 1905/3515 [39:04<34:01,  1.27s/it]
overall:  48%|████▊     | 1906/4000 [39:07<43:46,  1.25s/it]

train:  54%|█████▍    | 1906/3515 [39:05<33:37,  1.25s/it]
overall:  48%|████▊     | 1907/4000 [39:09<43:23,  1.24s/it]

train:  54%|█████▍    | 1907/3515 [39:07<33:20,  1.24s/it]
overall:  48%|████▊     | 1908/4000 [39:09<36:08,  1.04s/it]

train:  54%|█████▍    | 1908/3515 [39:07<27:45,  1.04s/it]
overall:  48%|████▊     | 1909/4000 [39:10<38:28,  1.10s/it]

train:  54%|█████▍    | 1909/3515 [39:09<29:33,  1.10s/it]
overall:  48%|████▊     | 1910/4000 [39:12<40:28,  1.16s/it]

train:  54%|█████▍    | 1910/3515 [39:10<31:05,  1.16s/it]
overall:  48%|████▊     | 1911/4000 [39:12<34:06,  1.02it/s]

train:  54%|█████▍    | 1911/3515 [39:10<26:11,  1.02it/s]
overall:  48%|████▊     | 1912/4000 [39:13<35:55,  1.03s/it]

train:  54%|█████▍    | 1912/3515 [39:12<27:34,  1.03s/it]
overall:  48%|████▊     | 1913/4000 [39:15<37:16,  1.07s/it]

train:  54%|█████▍    | 1913/3515 [39:13<28:36,  1.07s/it]
overall:  48%|████▊     | 1914/4000 [39:16<36:17,  1.04s/it]

train:  54%|█████▍    | 1914/3515 [39:14<27:51,  1.04s/it]
overall:  48%|████▊     | 1915/4000 [39:16<35:29,  1.02s/it]

train:  54%|█████▍    | 1915/3515 [39:15<27:14,  1.02s/it]
overall:  48%|████▊     | 1916/4000 [39:17<27:57,  1.24it/s]

train:  55%|█████▍    | 1916/3515 [39:15<21:27,  1.24it/s]
overall:  48%|████▊     | 1917/4000 [39:18<32:27,  1.07it/s]

train:  55%|█████▍    | 1917/3515 [39:16<24:54,  1.07it/s]
overall:  48%|████▊     | 1918/4000 [39:19<35:37,  1.03s/it]

train:  55%|█████▍    | 1918/3515 [39:17<27:19,  1.03s/it]
overall:  48%|████▊     | 1919/4000 [39:20<37:21,  1.08s/it]

train:  55%|█████▍    | 1919/3515 [39:19<28:39,  1.08s/it]
overall:  48%|████▊     | 1920/4000 [39:22<38:42,  1.12s/it]

train:  55%|█████▍    | 1920/3515 [39:20<29:41,  1.12s/it]
overall:  48%|████▊     | 1921/4000 [39:23<39:52,  1.15s/it]

train:  55%|█████▍    | 1921/3515 [39:21<30:34,  1.15s/it]
overall:  48%|████▊     | 1922/4000 [39:24<39:13,  1.13s/it]

train:  55%|█████▍    | 1922/3515 [39:22<30:03,  1.13s/it]
overall:  48%|████▊     | 1923/4000 [39:25<40:49,  1.18s/it]

train:  55%|█████▍    | 1923/3515 [39:23<31:17,  1.18s/it]
overall:  48%|████▊     | 1924/4000 [39:27<41:15,  1.19s/it]

train:  55%|█████▍    | 1924/3515 [39:25<31:37,  1.19s/it]
overall:  48%|████▊     | 1925/4000 [39:28<45:37,  1.32s/it]

train:  55%|█████▍    | 1925/3515 [39:26<34:57,  1.32s/it]
overall:  48%|████▊     | 1926/4000 [39:29<45:07,  1.31s/it]

train:  55%|█████▍    | 1926/3515 [39:28<34:34,  1.31s/it]
overall:  48%|████▊     | 1927/4000 [39:30<34:35,  1.00s/it]

train:  55%|█████▍    | 1927/3515 [39:28<26:30,  1.00s/it]
overall:  48%|████▊     | 1928/4000 [39:31<37:11,  1.08s/it]

train:  55%|█████▍    | 1928/3515 [39:29<28:29,  1.08s/it]
overall:  48%|████▊     | 1929/4000 [39:32<38:32,  1.12s/it]

train:  55%|█████▍    | 1929/3515 [39:30<29:30,  1.12s/it]
overall:  48%|████▊     | 1930/4000 [39:33<39:34,  1.15s/it]

train:  55%|█████▍    | 1930/3515 [39:32<30:18,  1.15s/it]
overall:  48%|████▊     | 1931/4000 [39:35<39:59,  1.16s/it]

train:  55%|█████▍    | 1931/3515 [39:33<30:37,  1.16s/it]
overall:  48%|████▊     | 1932/4000 [39:36<40:52,  1.19s/it]

train:  55%|█████▍    | 1932/3515 [39:34<31:17,  1.19s/it]
overall:  48%|████▊     | 1933/4000 [39:37<40:16,  1.17s/it]

train:  55%|█████▍    | 1933/3515 [39:35<30:49,  1.17s/it]
overall:  48%|████▊     | 1934/4000 [39:38<40:41,  1.18s/it]

train:  55%|█████▌    | 1934/3515 [39:36<31:08,  1.18s/it]
overall:  48%|████▊     | 1935/4000 [39:39<41:51,  1.22s/it]

train:  55%|█████▌    | 1935/3515 [39:38<32:01,  1.22s/it]
overall:  48%|████▊     | 1936/4000 [39:41<42:11,  1.23s/it]

train:  55%|█████▌    | 1936/3515 [39:39<32:16,  1.23s/it]
overall:  48%|████▊     | 1937/4000 [39:42<42:01,  1.22s/it]

train:  55%|█████▌    | 1937/3515 [39:40<32:08,  1.22s/it]
overall:  48%|████▊     | 1938/4000 [39:43<42:05,  1.23s/it]

train:  55%|█████▌    | 1938/3515 [39:41<32:11,  1.23s/it]
overall:  48%|████▊     | 1939/4000 [39:44<41:57,  1.22s/it]

train:  55%|█████▌    | 1939/3515 [39:42<32:05,  1.22s/it]
overall:  48%|████▊     | 1940/4000 [39:45<40:38,  1.18s/it]

train:  55%|█████▌    | 1940/3515 [39:44<31:04,  1.18s/it]
overall:  49%|████▊     | 1941/4000 [39:47<40:43,  1.19s/it]

train:  55%|█████▌    | 1941/3515 [39:45<31:07,  1.19s/it]
overall:  49%|████▊     | 1942/4000 [39:48<41:14,  1.20s/it]

train:  55%|█████▌    | 1942/3515 [39:46<31:31,  1.20s/it]
overall:  49%|████▊     | 1943/4000 [39:49<41:20,  1.21s/it]

train:  55%|█████▌    | 1943/3515 [39:47<31:35,  1.21s/it]
overall:  49%|████▊     | 1944/4000 [39:50<40:48,  1.19s/it]

train:  55%|█████▌    | 1944/3515 [39:48<31:11,  1.19s/it]
overall:  49%|████▊     | 1945/4000 [39:51<41:12,  1.20s/it]

train:  55%|█████▌    | 1945/3515 [39:50<31:28,  1.20s/it]
overall:  49%|████▊     | 1946/4000 [39:53<41:41,  1.22s/it]

train:  55%|█████▌    | 1946/3515 [39:51<31:50,  1.22s/it]
overall:  49%|████▊     | 1947/4000 [39:54<42:02,  1.23s/it]

train:  55%|█████▌    | 1947/3515 [39:52<32:06,  1.23s/it]
overall:  49%|████▊     | 1948/4000 [39:55<38:38,  1.13s/it]

train:  55%|█████▌    | 1948/3515 [39:53<29:30,  1.13s/it]
overall:  49%|████▊     | 1949/4000 [39:56<42:10,  1.23s/it]

train:  55%|█████▌    | 1949/3515 [39:55<32:12,  1.23s/it]
overall:  49%|████▉     | 1950/4000 [39:58<42:52,  1.25s/it]

train:  55%|█████▌    | 1950/3515 [39:56<32:43,  1.25s/it]
overall:  49%|████▉     | 1951/4000 [39:59<42:34,  1.25s/it]

train:  56%|█████▌    | 1951/3515 [39:57<32:29,  1.25s/it]
overall:  49%|████▉     | 1952/4000 [40:00<39:44,  1.16s/it]

train:  56%|█████▌    | 1952/3515 [39:58<30:19,  1.16s/it]
overall:  49%|████▉     | 1953/4000 [40:01<41:47,  1.22s/it]

train:  56%|█████▌    | 1953/3515 [39:59<31:53,  1.22s/it]
overall:  49%|████▉     | 1954/4000 [40:02<42:05,  1.23s/it]

train:  56%|█████▌    | 1954/3515 [40:01<32:07,  1.23s/it]
overall:  49%|████▉     | 1955/4000 [40:04<40:58,  1.20s/it]

train:  56%|█████▌    | 1955/3515 [40:02<31:15,  1.20s/it]
overall:  49%|████▉     | 1956/4000 [40:05<40:24,  1.19s/it]

train:  56%|█████▌    | 1956/3515 [40:03<30:49,  1.19s/it]
overall:  49%|████▉     | 1957/4000 [40:06<40:25,  1.19s/it]

train:  56%|█████▌    | 1957/3515 [40:04<30:49,  1.19s/it]
overall:  49%|████▉     | 1958/4000 [40:07<40:34,  1.19s/it]

train:  56%|█████▌    | 1958/3515 [40:05<30:56,  1.19s/it]
overall:  49%|████▉     | 1959/4000 [40:08<41:02,  1.21s/it]

train:  56%|█████▌    | 1959/3515 [40:07<31:17,  1.21s/it]
overall:  49%|████▉     | 1960/4000 [40:10<41:37,  1.22s/it]

train:  56%|█████▌    | 1960/3515 [40:08<31:43,  1.22s/it]
overall:  49%|████▉     | 1961/4000 [40:11<42:23,  1.25s/it]

train:  56%|█████▌    | 1961/3515 [40:09<32:18,  1.25s/it]
overall:  49%|████▉     | 1962/4000 [40:12<42:21,  1.25s/it]

train:  56%|█████▌    | 1962/3515 [40:10<32:16,  1.25s/it]
overall:  49%|████▉     | 1963/4000 [40:13<41:27,  1.22s/it]

train:  56%|█████▌    | 1963/3515 [40:12<31:35,  1.22s/it]
overall:  49%|████▉     | 1964/4000 [40:15<41:40,  1.23s/it]

train:  56%|█████▌    | 1964/3515 [40:13<31:45,  1.23s/it]
overall:  49%|████▉     | 1965/4000 [40:16<38:52,  1.15s/it]

train:  56%|█████▌    | 1965/3515 [40:14<29:36,  1.15s/it]
overall:  49%|████▉     | 1966/4000 [40:17<40:00,  1.18s/it]

train:  56%|█████▌    | 1966/3515 [40:15<30:28,  1.18s/it]
overall:  49%|████▉     | 1967/4000 [40:18<39:36,  1.17s/it]

train:  56%|█████▌    | 1967/3515 [40:16<30:09,  1.17s/it]
overall:  49%|████▉     | 1968/4000 [40:18<32:59,  1.03it/s]

train:  56%|█████▌    | 1968/3515 [40:17<25:07,  1.03it/s]
overall:  49%|████▉     | 1969/4000 [40:20<34:57,  1.03s/it]

train:  56%|█████▌    | 1969/3515 [40:18<26:36,  1.03s/it]
overall:  49%|████▉     | 1970/4000 [40:21<37:06,  1.10s/it]

train:  56%|█████▌    | 1970/3515 [40:19<28:14,  1.10s/it]
overall:  49%|████▉     | 1971/4000 [40:22<38:06,  1.13s/it]

train:  56%|█████▌    | 1971/3515 [40:20<28:59,  1.13s/it]
overall:  49%|████▉     | 1972/4000 [40:23<39:13,  1.16s/it]

train:  56%|█████▌    | 1972/3515 [40:21<29:50,  1.16s/it]
overall:  49%|████▉     | 1973/4000 [40:25<43:42,  1.29s/it]

train:  56%|█████▌    | 1973/3515 [40:23<33:14,  1.29s/it]
overall:  49%|████▉     | 1974/4000 [40:26<43:00,  1.27s/it]

train:  56%|█████▌    | 1974/3515 [40:24<32:43,  1.27s/it]
overall:  49%|████▉     | 1975/4000 [40:27<34:31,  1.02s/it]

train:  56%|█████▌    | 1975/3515 [40:25<26:15,  1.02s/it]
overall:  49%|████▉     | 1976/4000 [40:28<36:47,  1.09s/it]

train:  56%|█████▌    | 1976/3515 [40:26<27:58,  1.09s/it]
overall:  49%|████▉     | 1977/4000 [40:29<38:59,  1.16s/it]

train:  56%|█████▌    | 1977/3515 [40:27<29:38,  1.16s/it]
overall:  49%|████▉     | 1978/4000 [40:30<39:20,  1.17s/it]

train:  56%|█████▋    | 1978/3515 [40:29<29:54,  1.17s/it]
overall:  49%|████▉     | 1979/4000 [40:32<39:57,  1.19s/it]

train:  56%|█████▋    | 1979/3515 [40:30<30:22,  1.19s/it]
overall:  50%|████▉     | 1980/4000 [40:33<39:54,  1.19s/it]

train:  56%|█████▋    | 1980/3515 [40:31<30:19,  1.19s/it]
overall:  50%|████▉     | 1981/4000 [40:34<38:51,  1.15s/it]

train:  56%|█████▋    | 1981/3515 [40:32<29:31,  1.15s/it]
overall:  50%|████▉     | 1982/4000 [40:35<39:44,  1.18s/it]

train:  56%|█████▋    | 1982/3515 [40:33<30:11,  1.18s/it]
overall:  50%|████▉     | 1983/4000 [40:36<40:59,  1.22s/it]

train:  56%|█████▋    | 1983/3515 [40:35<31:08,  1.22s/it]
overall:  50%|████▉     | 1984/4000 [40:38<41:47,  1.24s/it]

train:  56%|█████▋    | 1984/3515 [40:36<31:44,  1.24s/it]
overall:  50%|████▉     | 1985/4000 [40:39<41:44,  1.24s/it]

train:  56%|█████▋    | 1985/3515 [40:37<31:41,  1.24s/it]
overall:  50%|████▉     | 1986/4000 [40:40<41:43,  1.24s/it]

train:  57%|█████▋    | 1986/3515 [40:38<31:40,  1.24s/it]
overall:  50%|████▉     | 1987/4000 [40:41<41:48,  1.25s/it]

train:  57%|█████▋    | 1987/3515 [40:40<31:44,  1.25s/it]
overall:  50%|████▉     | 1988/4000 [40:43<40:52,  1.22s/it]

train:  57%|█████▋    | 1988/3515 [40:41<31:01,  1.22s/it]
overall:  50%|████▉     | 1989/4000 [40:44<40:44,  1.22s/it]

train:  57%|█████▋    | 1989/3515 [40:42<30:54,  1.22s/it]
overall:  50%|████▉     | 1990/4000 [40:45<40:26,  1.21s/it]

train:  57%|█████▋    | 1990/3515 [40:43<30:40,  1.21s/it]
overall:  50%|████▉     | 1991/4000 [40:46<40:29,  1.21s/it]

train:  57%|█████▋    | 1991/3515 [40:44<30:42,  1.21s/it]
overall:  50%|████▉     | 1992/4000 [40:47<40:58,  1.22s/it]

train:  57%|█████▋    | 1992/3515 [40:46<31:04,  1.22s/it]
overall:  50%|████▉     | 1993/4000 [40:49<41:36,  1.24s/it]

train:  57%|█████▋    | 1993/3515 [40:47<31:33,  1.24s/it]
overall:  50%|████▉     | 1994/4000 [40:50<39:33,  1.18s/it]

train:  57%|█████▋    | 1994/3515 [40:48<29:59,  1.18s/it]
overall:  50%|████▉     | 1995/4000 [40:51<39:15,  1.18s/it]

train:  57%|█████▋    | 1995/3515 [40:49<29:46,  1.18s/it]
overall:  50%|████▉     | 1996/4000 [40:52<39:26,  1.18s/it]

train:  57%|█████▋    | 1996/3515 [40:50<29:53,  1.18s/it]
overall:  50%|████▉     | 1997/4000 [40:54<44:02,  1.32s/it]

train:  57%|█████▋    | 1997/3515 [40:52<33:22,  1.32s/it]
overall:  50%|████▉     | 1998/4000 [40:55<43:23,  1.30s/it]

train:  57%|█████▋    | 1998/3515 [40:53<32:53,  1.30s/it]
overall:  50%|████▉     | 1999/4000 [40:56<42:21,  1.27s/it]

train:  57%|█████▋    | 1999/3515 [40:54<32:05,  1.27s/it]dev loss: 12.07666015625
dev per: 0.836222684703434
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 9.481383323669434
train per: 0.803671497584541
train loss: 9.095341682434082
train per: 0.8489564217377474
train loss: 8.333575248718262
train per: 0.7631510416666667
train loss: 8.688090324401855
train per: 0.8338821297019756
train loss: 6.7358808517456055
train per: 0.7894178362996189
train loss: 5.560749530792236
train per: 0.7553571825106034
train loss: 5.7504658699035645
train per: 0.796181782489203
train loss: 6.088578224182129
train per: 0.7755161615625498
train loss: 7.842248439788818
train per: 0.7999944780363898
train loss: 12.138860702514648
train per: 0.8176615768490141
train loss: 8.871515274047852
train per: 0.8538064284062589
train loss: 9.51188850402832
train per: 0.842163170609199
train loss: 7.225513458251953
train per: 0.7457963347817873
train loss: 6.213926792144775
train per: 0.7342301225078068
train loss: 5.130260467529297
train per: 0.7197565961045979
train loss: 5.731900215148926
train per: 0.8131437989287186
train loss: 8.018747329711914
train per: 0.8420626500642135
train loss: 8.484277725219727
train per: 0.7605023929502924
train loss: 10.313494682312012
train per: 0.8601227317021781
train loss: 8.780503273010254
train per: 0.8059708691038874
train loss: 6.596665382385254
train per: 0.7542263301566017
train loss: 6.275832176208496
train per: 0.7464143096807732
train loss: 6.250765800476074
train per: 0.755086416888992
train loss: 5.860944747924805
train per: 0.730543975857395
train loss: 6.364420413970947
train per: 0.7664709527040982
train loss: 8.984807968139648
train per: 0.8423231549727195
train loss: 11.248971939086914
train per: 0.8855072463768116
train loss: 11.148951530456543
train per: 0.7886587572893625
train loss: 8.429960250854492
train per: 0.7496186029309787
train loss: 10.497636795043945
train per: 0.8297221514147336
train loss: 9.389559745788574
train per: 0.7708765767204215
train loss: 8.607671737670898
train per: 0.7600973696027226
train loss: 7.645308017730713
train per: 0.7872394581294719
train loss: 7.61712121963501
train per: 0.7483960698102203
train loss: 6.9173407554626465
train per: 0.7866323907455013
train loss: 6.064050197601318
train per: 0.7218882645925854
train loss: 7.370381832122803
train per: 0.8222049689440993
train loss: 8.070601463317871
train per: 0.7729690400923278
train loss: 7.809792518615723
train per: 0.7943075472154378
train loss: 8.425716400146484
train per: 0.761656999178471
train loss: 6.37415075302124
train per: 0.7180208873416783
train loss: 6.356581687927246
train per: 0.7967887480150229
train loss: 6.475070953369141
train per: 0.8076018416574917
train loss: 5.92064905166626
train per: 0.7653514629112541
train loss: 5.632293701171875
train per: 0.7797540349739317
train loss: 7.124464511871338
train per: 0.8100194174757281
train loss: 9.69899845123291
train per: 0.7782801167938213
train loss: 9.533682823181152
train per: 0.7992567695512214
train loss: 7.815069675445557
train per: 0.7346347071908821
train loss: 9.114997863769531
train per: 0.7614720478596841
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 533/2703 [00:00<00:00, 5319.90it/s]


word -> phonemes:  40%|███▉      | 1077/2703 [00:00<00:00, 5386.92it/s]


word -> phonemes:  61%|██████▏   | 1656/2703 [00:00<00:00, 5569.96it/s]


word -> phonemes:  83%|████████▎ | 2240/2703 [00:00<00:00, 5673.61it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5513.51it/s]



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overall:  75%|███████▍  | 2995/4000 [1:02:37<18:09,  1.08s/it]

train:  85%|████████▌ | 2995/3515 [1:02:35<09:23,  1.08s/it]
overall:  75%|███████▍  | 2996/4000 [1:02:38<19:12,  1.15s/it]

train:  85%|████████▌ | 2996/3515 [1:02:36<09:55,  1.15s/it]
overall:  75%|███████▍  | 2997/4000 [1:02:39<19:30,  1.17s/it]

train:  85%|████████▌ | 2997/3515 [1:02:37<10:04,  1.17s/it]
overall:  75%|███████▍  | 2998/4000 [1:02:40<19:53,  1.19s/it]

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overall:  75%|███████▍  | 2999/4000 [1:02:41<19:38,  1.18s/it]

train:  85%|████████▌ | 2999/3515 [1:02:40<10:07,  1.18s/it]dev loss: 9.862775802612305
dev per: 0.7998595213319459
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 9.21977424621582
train per: 0.799358737205574
train loss: 8.490942001342773
train per: 0.741929167584502
train loss: 7.930380821228027
train per: 0.7472681220600651
train loss: 7.9748430252075195
train per: 0.7670400080722466
train loss: 6.318533420562744
train per: 0.7219444581951389
train loss: 7.739021301269531
train per: 0.7248620604463477
train loss: 8.040694236755371
train per: 0.75870815513936
train loss: 6.058851718902588
train per: 0.7030864624392043
train loss: 5.572310447692871
train per: 0.7033908387864366
train loss: 6.175090312957764
train per: 0.7511015606346726
train loss: 7.498178005218506
train per: 0.7748770336738555
train loss: 7.57340145111084
train per: 0.7853855178845401
train loss: 6.705018520355225
train per: 0.7496064172726591
train loss: 7.492417335510254
train per: 0.7475326948320288
train loss: 7.9552412033081055
train per: 0.7406136700975741
train loss: 7.502388000488281
train per: 0.7335830762450418
train loss: 9.627653121948242
train per: 0.7971079531288955
train loss: 8.9938325881958
train per: 0.8061945145644837
train loss: 7.369767189025879
train per: 0.7610631624733866
train loss: 9.570359230041504
train per: 0.7576002925198496
train loss: 8.334319114685059
train per: 0.7688125325852181
train loss: 6.0007405281066895
train per: 0.7034918076819769
train loss: 6.3856916427612305
train per: 0.7571166971866156
train loss: 5.547976016998291
train per: 0.7119346765427105
train loss: 8.522727966308594
train per: 0.8215797715014789
train loss: 12.99975299835205
train per: 0.8040805128077221
train loss: 9.170544624328613
train per: 0.7539503956716305
train loss: 7.187140464782715
train per: 0.7228555179149873
train loss: 5.796910762786865
train per: 0.7219810484059189
train loss: 8.007661819458008
train per: 0.7589757452141646
train loss: 7.508665561676025
train per: 0.7243076923076923
train loss: 6.73552942276001
train per: 0.7773260359655981
train loss: 5.839481830596924
train per: 0.7294474892608502
train loss: 6.7400221824646
train per: 0.7578432918177519
train loss: 6.880662441253662
train per: 0.717626620339436
train loss: 8.053866386413574
train per: 0.7684227450560052
train loss: 11.180155754089355
train per: 0.7931620894461647
train loss: 9.327427864074707
train per: 0.7811251794804855
train loss: 6.59006404876709
train per: 0.7294652488827246
train loss: 4.69258451461792
train per: 0.6927454114000678
train loss: 9.56209659576416
train per: 0.8338674191696958
train loss: 6.458695411682129
train per: 0.7559593438872859
train loss: 6.2839555740356445
train per: 0.8047571085457503
train loss: 5.878234386444092
train per: 0.7294976280257877
train loss: 7.195700168609619
train per: 0.8013174951718299
train loss: 9.482691764831543
train per: 0.7445320636809999
train loss: 9.074605941772461
train per: 0.7769610949182613
train loss: 9.819673538208008
train per: 0.7477811535609196
train loss: 7.311983585357666
train per: 0.7192687483319989
train loss: 9.056795120239258
train per: 0.7758653300548515
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 457/2703 [00:00<00:00, 4565.80it/s]


word -> phonemes:  37%|███▋      | 1011/2703 [00:00<00:00, 5137.18it/s]


word -> phonemes:  58%|█████▊    | 1573/2703 [00:00<00:00, 5353.70it/s]


word -> phonemes:  78%|███████▊  | 2109/2703 [00:00<00:00, 5148.25it/s]


word -> phonemes:  97%|█████████▋| 2625/2703 [00:00<00:00, 4826.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4922.30it/s]



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overall:  88%|████████▊ | 3500/4000 [1:15:08<10:20,  1.24s/it]

train: 100%|█████████▉| 3500/3515 [1:15:06<00:18,  1.24s/it]
overall:  88%|████████▊ | 3501/4000 [1:15:09<10:23,  1.25s/it]

train: 100%|█████████▉| 3501/3515 [1:15:07<00:17,  1.25s/it]
overall:  88%|████████▊ | 3502/4000 [1:15:10<10:22,  1.25s/it]

train: 100%|█████████▉| 3502/3515 [1:15:09<00:16,  1.25s/it]
overall:  88%|████████▊ | 3503/4000 [1:15:11<07:59,  1.04it/s]

train: 100%|█████████▉| 3503/3515 [1:15:09<00:11,  1.04it/s]
overall:  88%|████████▊ | 3504/4000 [1:15:12<08:48,  1.07s/it]

train: 100%|█████████▉| 3504/3515 [1:15:10<00:11,  1.07s/it]
overall:  88%|████████▊ | 3505/4000 [1:15:13<09:11,  1.11s/it]

train: 100%|█████████▉| 3505/3515 [1:15:11<00:11,  1.11s/it]
overall:  88%|████████▊ | 3506/4000 [1:15:14<09:35,  1.16s/it]

train: 100%|█████████▉| 3506/3515 [1:15:13<00:10,  1.16s/it]
overall:  88%|████████▊ | 3507/4000 [1:15:16<09:55,  1.21s/it]

train: 100%|█████████▉| 3507/3515 [1:15:14<00:09,  1.21s/it]
overall:  88%|████████▊ | 3508/4000 [1:15:17<10:01,  1.22s/it]

train: 100%|█████████▉| 3508/3515 [1:15:15<00:08,  1.22s/it]
overall:  88%|████████▊ | 3509/4000 [1:15:18<09:54,  1.21s/it]

train: 100%|█████████▉| 3509/3515 [1:15:16<00:07,  1.21s/it]
overall:  88%|████████▊ | 3510/4000 [1:15:19<08:13,  1.01s/it]

train: 100%|█████████▉| 3510/3515 [1:15:17<00:05,  1.01s/it]
overall:  88%|████████▊ | 3511/4000 [1:15:20<07:40,  1.06it/s]

train: 100%|█████████▉| 3511/3515 [1:15:18<00:03,  1.06it/s]
overall:  88%|████████▊ | 3512/4000 [1:15:21<08:23,  1.03s/it]

train: 100%|█████████▉| 3512/3515 [1:15:19<00:03,  1.03s/it]
overall:  88%|████████▊ | 3513/4000 [1:15:22<08:43,  1.07s/it]

train: 100%|█████████▉| 3513/3515 [1:15:20<00:02,  1.07s/it]
overall:  88%|████████▊ | 3514/4000 [1:15:23<09:07,  1.13s/it]

train: 100%|█████████▉| 3514/3515 [1:15:21<00:01,  1.13s/it]
overall:  88%|████████▊ | 3515/4000 [1:15:24<09:31,  1.18s/it]

train: 100%|██████████| 3515/3515 [1:15:23<00:00,  1.18s/it]403-128339-0009 Failed!!!
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!!!
403-128339-0009 Failed!!!
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train: 100%|██████████| 3515/3515 [1:15:23<00:00,  1.29s/it]
dev loss: 8.356941223144531
dev per: 0.7486940686784599
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.996596336364746
train per: 0.7846905690522062
train loss: 7.4081268310546875
train per: 0.720838609821303
train loss: 7.276106834411621
train per: 0.7449420430132911
train loss: 9.171984672546387
train per: 0.8383913702681878
train loss: 10.272318840026855
train per: 0.8303706451336776
train loss: 7.600823402404785
train per: 0.7268422298808239
train loss: 7.236437797546387
train per: 0.7301296391127402
train loss: 8.371472358703613
train per: 0.8146950984175994
train loss: 6.8835930824279785
train per: 0.7418117138864185
train loss: 10.24954891204834
train per: 0.8307374787011927
train loss: 7.597262382507324
train per: 0.7146162543054716
train loss: 7.170893669128418
train per: 0.709943705946355
train loss: 9.039006233215332
train per: 0.7494880209232895
train loss: 7.056803226470947
train per: 0.7173755961269811
train loss: 7.62343692779541
train per: 0.7697783103654883
train loss: 6.84390115737915
train per: 0.7406101216716628
train loss: 6.6209917068481445
train per: 0.7824354478801403
train loss: 7.64068078994751
train per: 0.8000787479082587
train loss: 7.24231481552124
train per: 0.7359561752988047
train loss: 7.5556159019470215
train per: 0.7467830133798721
train loss: 6.675894737243652
train per: 0.7516463090812533
train loss: 7.853633880615234
train per: 0.7701611828959638
train loss: 6.986274719238281
train per: 0.7347177028738916
train loss: 7.429962158203125
train per: 0.7396546277771928
train loss: 8.242670059204102
train per: 0.7616460524794821
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 241/3515 [00:00<00:01, 2406.53it/s]

word -> phonemes:  14%|█▍        | 507/3515 [00:00<00:01, 2553.64it/s]

word -> phonemes:  23%|██▎       | 802/3515 [00:00<00:00, 2733.34it/s]

word -> phonemes:  31%|███       | 1076/3515 [00:00<00:00, 2461.25it/s]

word -> phonemes:  40%|████      | 1419/3515 [00:00<00:00, 2781.41it/s]

word -> phonemes:  48%|████▊     | 1702/3515 [00:00<00:00, 2685.66it/s]

word -> phonemes:  56%|█████▌    | 1976/3515 [00:00<00:00, 2701.30it/s]

word -> phonemes:  64%|██████▍   | 2249/3515 [00:00<00:00, 2694.66it/s]

word -> phonemes:  72%|███████▏  | 2521/3515 [00:00<00:00, 2676.03it/s]

word -> phonemes:  81%|████████  | 2834/3515 [00:01<00:00, 2811.35it/s]

word -> phonemes:  89%|████████▉ | 3123/3515 [00:01<00:00, 2833.08it/s]

word -> phonemes:  97%|█████████▋| 3408/3515 [00:01<00:00, 2778.91it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2723.94it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:15:30<19:06,  2.37s/it]

train:   0%|          | 1/3515 [00:02<2:29:21,  2.55s/it]
overall:  88%|████████▊ | 3517/4000 [1:15:31<16:43,  2.08s/it]

train:   0%|          | 2/3515 [00:03<1:49:36,  1.87s/it]
overall:  88%|████████▊ | 3518/4000 [1:15:32<15:07,  1.88s/it]

train:   0%|          | 3/3515 [00:05<1:37:45,  1.67s/it]
overall:  88%|████████▊ | 3519/4000 [1:15:34<13:20,  1.67s/it]

train:   0%|          | 4/3515 [00:06<1:25:52,  1.47s/it]
overall:  88%|████████▊ | 3520/4000 [1:15:35<12:20,  1.54s/it]

train:   0%|          | 5/3515 [00:07<1:21:22,  1.39s/it]
overall:  88%|████████▊ | 3521/4000 [1:15:36<11:45,  1.47s/it]

train:   0%|          | 6/3515 [00:09<1:19:48,  1.36s/it]
overall:  88%|████████▊ | 3522/4000 [1:15:37<11:08,  1.40s/it]

train:   0%|          | 7/3515 [00:10<1:17:02,  1.32s/it]
overall:  88%|████████▊ | 3523/4000 [1:15:38<08:50,  1.11s/it]

train:   0%|          | 8/3515 [00:10<1:00:47,  1.04s/it]
overall:  88%|████████▊ | 3524/4000 [1:15:39<09:08,  1.15s/it]

train:   0%|          | 9/3515 [00:12<1:04:28,  1.10s/it]
overall:  88%|████████▊ | 3525/4000 [1:15:40<09:08,  1.15s/it]

train:   0%|          | 10/3515 [00:13<1:05:28,  1.12s/it]
overall:  88%|████████▊ | 3526/4000 [1:15:42<09:26,  1.20s/it]

train:   0%|          | 11/3515 [00:14<1:08:32,  1.17s/it]
overall:  88%|████████▊ | 3527/4000 [1:15:43<09:18,  1.18s/it]

train:   0%|          | 12/3515 [00:15<1:08:01,  1.17s/it]
overall:  88%|████████▊ | 3528/4000 [1:15:44<09:26,  1.20s/it]

train:   0%|          | 13/3515 [00:16<1:09:22,  1.19s/it]
overall:  88%|████████▊ | 3529/4000 [1:15:45<09:25,  1.20s/it]

train:   0%|          | 14/3515 [00:18<1:09:36,  1.19s/it]
overall:  88%|████████▊ | 3530/4000 [1:15:46<09:38,  1.23s/it]

train:   0%|          | 15/3515 [00:19<1:11:33,  1.23s/it]
overall:  88%|████████▊ | 3531/4000 [1:15:48<09:38,  1.23s/it]

train:   0%|          | 16/3515 [00:20<1:11:43,  1.23s/it]
overall:  88%|████████▊ | 3532/4000 [1:15:49<09:42,  1.24s/it]

train:   0%|          | 17/3515 [00:21<1:12:22,  1.24s/it]
overall:  88%|████████▊ | 3533/4000 [1:15:50<09:36,  1.23s/it]

train:   1%|          | 18/3515 [00:23<1:11:49,  1.23s/it]
overall:  88%|████████▊ | 3534/4000 [1:15:51<09:43,  1.25s/it]

train:   1%|          | 19/3515 [00:24<1:12:54,  1.25s/it]
overall:  88%|████████▊ | 3535/4000 [1:15:53<09:52,  1.27s/it]

train:   1%|          | 20/3515 [00:25<1:14:11,  1.27s/it]
overall:  88%|████████▊ | 3536/4000 [1:15:54<09:53,  1.28s/it]

train:   1%|          | 21/3515 [00:26<1:14:25,  1.28s/it]
overall:  88%|████████▊ | 3537/4000 [1:15:55<09:54,  1.28s/it]

train:   1%|          | 22/3515 [00:28<1:14:46,  1.28s/it]
overall:  88%|████████▊ | 3538/4000 [1:15:57<09:46,  1.27s/it]

train:   1%|          | 23/3515 [00:29<1:13:51,  1.27s/it]
overall:  88%|████████▊ | 3539/4000 [1:15:58<09:50,  1.28s/it]

train:   1%|          | 24/3515 [00:30<1:14:27,  1.28s/it]
overall:  88%|████████▊ | 3540/4000 [1:15:59<09:52,  1.29s/it]

train:   1%|          | 25/3515 [00:32<1:14:57,  1.29s/it]
overall:  89%|████████▊ | 3541/4000 [1:16:00<09:44,  1.27s/it]

train:   1%|          | 26/3515 [00:33<1:13:59,  1.27s/it]
overall:  89%|████████▊ | 3542/4000 [1:16:02<09:33,  1.25s/it]

train:   1%|          | 27/3515 [00:34<1:12:45,  1.25s/it]
overall:  89%|████████▊ | 3543/4000 [1:16:03<09:29,  1.25s/it]

train:   1%|          | 28/3515 [00:35<1:12:29,  1.25s/it]
overall:  89%|████████▊ | 3544/4000 [1:16:04<09:09,  1.21s/it]

train:   1%|          | 29/3515 [00:36<1:10:03,  1.21s/it]
overall:  89%|████████▊ | 3545/4000 [1:16:05<09:20,  1.23s/it]

train:   1%|          | 30/3515 [00:38<1:11:35,  1.23s/it]
overall:  89%|████████▊ | 3546/4000 [1:16:06<09:10,  1.21s/it]

train:   1%|          | 31/3515 [00:39<1:10:24,  1.21s/it]
overall:  89%|████████▊ | 3547/4000 [1:16:07<07:31,  1.00it/s]

train:   1%|          | 32/3515 [00:39<57:58,  1.00it/s]  
overall:  89%|████████▊ | 3548/4000 [1:16:08<08:17,  1.10s/it]

train:   1%|          | 33/3515 [00:41<1:03:50,  1.10s/it]
overall:  89%|████████▊ | 3549/4000 [1:16:10<08:40,  1.16s/it]

train:   1%|          | 34/3515 [00:42<1:06:59,  1.15s/it]
overall:  89%|████████▉ | 3550/4000 [1:16:11<08:47,  1.17s/it]

train:   1%|          | 35/3515 [00:43<1:07:59,  1.17s/it]
overall:  89%|████████▉ | 3551/4000 [1:16:12<08:44,  1.17s/it]

train:   1%|          | 36/3515 [00:44<1:07:45,  1.17s/it]
overall:  89%|████████▉ | 3552/4000 [1:16:13<08:51,  1.19s/it]

train:   1%|          | 37/3515 [00:46<1:08:49,  1.19s/it]
overall:  89%|████████▉ | 3553/4000 [1:16:14<08:53,  1.19s/it]

train:   1%|          | 38/3515 [00:47<1:09:06,  1.19s/it]
overall:  89%|████████▉ | 3554/4000 [1:16:16<09:20,  1.26s/it]

train:   1%|          | 39/3515 [00:48<1:12:47,  1.26s/it]
overall:  89%|████████▉ | 3555/4000 [1:16:17<09:19,  1.26s/it]

train:   1%|          | 40/3515 [00:49<1:12:50,  1.26s/it]
overall:  89%|████████▉ | 3556/4000 [1:16:18<09:16,  1.25s/it]

train:   1%|          | 41/3515 [00:51<1:12:37,  1.25s/it]
overall:  89%|████████▉ | 3557/4000 [1:16:20<09:09,  1.24s/it]

train:   1%|          | 42/3515 [00:52<1:11:50,  1.24s/it]
overall:  89%|████████▉ | 3558/4000 [1:16:21<08:42,  1.18s/it]

train:   1%|          | 43/3515 [00:53<1:08:26,  1.18s/it]
overall:  89%|████████▉ | 3559/4000 [1:16:22<08:40,  1.18s/it]

train:   1%|▏         | 44/3515 [00:54<1:08:14,  1.18s/it]
overall:  89%|████████▉ | 3560/4000 [1:16:23<08:55,  1.22s/it]

train:   1%|▏         | 45/3515 [00:55<1:10:26,  1.22s/it]
overall:  89%|████████▉ | 3561/4000 [1:16:24<08:56,  1.22s/it]

train:   1%|▏         | 46/3515 [00:57<1:10:38,  1.22s/it]
overall:  89%|████████▉ | 3562/4000 [1:16:25<07:36,  1.04s/it]

train:   1%|▏         | 47/3515 [00:57<1:00:14,  1.04s/it]
overall:  89%|████████▉ | 3563/4000 [1:16:26<07:13,  1.01it/s]

train:   1%|▏         | 48/3515 [00:58<57:21,  1.01it/s]  
overall:  89%|████████▉ | 3564/4000 [1:16:27<07:54,  1.09s/it]

train:   1%|▏         | 49/3515 [00:59<1:02:49,  1.09s/it]
overall:  89%|████████▉ | 3565/4000 [1:16:28<08:16,  1.14s/it]

train:   1%|▏         | 50/3515 [01:01<1:05:52,  1.14s/it]
overall:  89%|████████▉ | 3566/4000 [1:16:30<08:26,  1.17s/it]

train:   1%|▏         | 51/3515 [01:02<1:07:25,  1.17s/it]
overall:  89%|████████▉ | 3567/4000 [1:16:31<08:42,  1.21s/it]

train:   1%|▏         | 52/3515 [01:03<1:09:41,  1.21s/it]
overall:  89%|████████▉ | 3568/4000 [1:16:32<08:32,  1.19s/it]

train:   2%|▏         | 53/3515 [01:04<1:08:29,  1.19s/it]
overall:  89%|████████▉ | 3569/4000 [1:16:33<08:38,  1.20s/it]

train:   2%|▏         | 54/3515 [01:06<1:09:22,  1.20s/it]
overall:  89%|████████▉ | 3570/4000 [1:16:34<08:32,  1.19s/it]

train:   2%|▏         | 55/3515 [01:07<1:08:40,  1.19s/it]
overall:  89%|████████▉ | 3571/4000 [1:16:36<08:44,  1.22s/it]

train:   2%|▏         | 56/3515 [01:08<1:10:27,  1.22s/it]
overall:  89%|████████▉ | 3572/4000 [1:16:37<08:52,  1.24s/it]

train:   2%|▏         | 57/3515 [01:09<1:11:44,  1.24s/it]
overall:  89%|████████▉ | 3573/4000 [1:16:38<08:58,  1.26s/it]

train:   2%|▏         | 58/3515 [01:11<1:12:40,  1.26s/it]
overall:  89%|████████▉ | 3574/4000 [1:16:40<09:03,  1.28s/it]

train:   2%|▏         | 59/3515 [01:12<1:13:26,  1.28s/it]
overall:  89%|████████▉ | 3575/4000 [1:16:41<09:05,  1.28s/it]

train:   2%|▏         | 60/3515 [01:13<1:13:53,  1.28s/it]
overall:  89%|████████▉ | 3576/4000 [1:16:42<09:01,  1.28s/it]

train:   2%|▏         | 61/3515 [01:15<1:13:27,  1.28s/it]
overall:  89%|████████▉ | 3577/4000 [1:16:43<08:55,  1.27s/it]

train:   2%|▏         | 62/3515 [01:16<1:12:52,  1.27s/it]
overall:  89%|████████▉ | 3578/4000 [1:16:45<08:58,  1.28s/it]

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overall:  89%|████████▉ | 3579/4000 [1:16:46<08:51,  1.26s/it]

train:   2%|▏         | 64/3515 [01:18<1:12:40,  1.26s/it]
overall:  90%|████████▉ | 3580/4000 [1:16:47<08:42,  1.24s/it]

train:   2%|▏         | 65/3515 [01:20<1:11:29,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:16:48<08:24,  1.20s/it]

train:   2%|▏         | 66/3515 [01:21<1:09:15,  1.20s/it]
overall:  90%|████████▉ | 3582/4000 [1:16:50<08:30,  1.22s/it]

train:   2%|▏         | 67/3515 [01:22<1:10:14,  1.22s/it]
overall:  90%|████████▉ | 3583/4000 [1:16:51<08:39,  1.25s/it]

train:   2%|▏         | 68/3515 [01:23<1:11:33,  1.25s/it]
overall:  90%|████████▉ | 3584/4000 [1:16:52<08:28,  1.22s/it]

train:   2%|▏         | 69/3515 [01:24<1:10:14,  1.22s/it]
overall:  90%|████████▉ | 3585/4000 [1:16:53<07:43,  1.12s/it]

train:   2%|▏         | 70/3515 [01:25<1:04:05,  1.12s/it]
overall:  90%|████████▉ | 3586/4000 [1:16:54<07:39,  1.11s/it]

train:   2%|▏         | 71/3515 [01:26<1:03:41,  1.11s/it]
overall:  90%|████████▉ | 3587/4000 [1:16:55<08:04,  1.17s/it]

train:   2%|▏         | 72/3515 [01:28<1:07:17,  1.17s/it]
overall:  90%|████████▉ | 3588/4000 [1:16:57<08:18,  1.21s/it]

train:   2%|▏         | 73/3515 [01:29<1:09:27,  1.21s/it]
overall:  90%|████████▉ | 3589/4000 [1:16:58<08:23,  1.23s/it]

train:   2%|▏         | 74/3515 [01:30<1:10:17,  1.23s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:59<08:44,  1.28s/it]

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overall:  90%|████████▉ | 3591/4000 [1:17:01<08:44,  1.28s/it]

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overall:  90%|████████▉ | 3592/4000 [1:17:02<08:31,  1.25s/it]

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overall:  90%|████████▉ | 3593/4000 [1:17:03<08:36,  1.27s/it]

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overall:  90%|████████▉ | 3594/4000 [1:17:04<08:21,  1.24s/it]

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overall:  90%|████████▉ | 3596/4000 [1:17:07<08:02,  1.19s/it]

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overall:  90%|████████▉ | 3597/4000 [1:17:08<08:13,  1.23s/it]

train:   2%|▏         | 82/3515 [01:40<1:10:05,  1.23s/it]
overall:  90%|████████▉ | 3598/4000 [1:17:09<08:21,  1.25s/it]

train:   2%|▏         | 83/3515 [01:42<1:11:21,  1.25s/it]
overall:  90%|████████▉ | 3599/4000 [1:17:10<08:26,  1.26s/it]

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overall:  90%|█████████ | 3600/4000 [1:17:12<08:34,  1.29s/it]

train:   2%|▏         | 85/3515 [01:44<1:13:28,  1.29s/it]
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overall:  90%|█████████ | 3602/4000 [1:17:14<08:27,  1.28s/it]

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overall:  90%|█████████ | 3603/4000 [1:17:16<08:22,  1.27s/it]

train:   3%|▎         | 88/3515 [01:48<1:12:20,  1.27s/it]
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train:   3%|▎         | 89/3515 [01:49<1:10:01,  1.23s/it]
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train:   3%|▎         | 90/3515 [01:50<1:09:03,  1.21s/it]
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train:   3%|▎         | 91/3515 [01:51<1:08:51,  1.21s/it]
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train:   3%|▎         | 92/3515 [01:53<1:09:06,  1.21s/it]
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train:   3%|▎         | 93/3515 [01:54<1:10:34,  1.24s/it]
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train:   3%|▎         | 95/3515 [01:55<55:36,  1.03it/s]
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train:   3%|▎         | 97/3515 [01:58<1:00:15,  1.06s/it]
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train:   3%|▎         | 98/3515 [01:59<1:01:23,  1.08s/it]
overall:  90%|█████████ | 3614/4000 [1:17:28<07:15,  1.13s/it]

train:   3%|▎         | 99/3515 [02:00<1:04:13,  1.13s/it]
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train:   3%|▎         | 100/3515 [02:01<1:05:10,  1.15s/it]
overall:  90%|█████████ | 3616/4000 [1:17:30<07:30,  1.17s/it]

train:   3%|▎         | 101/3515 [02:02<1:06:45,  1.17s/it]
overall:  90%|█████████ | 3617/4000 [1:17:31<07:36,  1.19s/it]

train:   3%|▎         | 102/3515 [02:04<1:07:44,  1.19s/it]
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train:   3%|▎         | 103/3515 [02:05<1:09:59,  1.23s/it]
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train:   3%|▎         | 104/3515 [02:06<59:30,  1.05s/it]  
overall:  90%|█████████ | 3620/4000 [1:17:34<05:43,  1.11it/s]

train:   3%|▎         | 105/3515 [02:06<51:20,  1.11it/s]
overall:  91%|█████████ | 3621/4000 [1:17:34<04:29,  1.41it/s]

train:   3%|▎         | 106/3515 [02:06<40:21,  1.41it/s]
overall:  91%|█████████ | 3622/4000 [1:17:35<05:24,  1.16it/s]

train:   3%|▎         | 107/3515 [02:08<48:48,  1.16it/s]
overall:  91%|█████████ | 3623/4000 [1:17:36<06:15,  1.00it/s]

train:   3%|▎         | 108/3515 [02:09<56:32,  1.00it/s]
overall:  91%|█████████ | 3624/4000 [1:17:38<06:33,  1.05s/it]

train:   3%|▎         | 109/3515 [02:10<59:22,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:17:38<05:24,  1.16it/s]

train:   3%|▎         | 110/3515 [02:10<49:07,  1.16it/s]
overall:  91%|█████████ | 3626/4000 [1:17:39<06:23,  1.03s/it]

train:   3%|▎         | 111/3515 [02:12<58:09,  1.03s/it]
overall:  91%|█████████ | 3627/4000 [1:17:41<06:37,  1.07s/it]

train:   3%|▎         | 112/3515 [02:13<1:00:27,  1.07s/it]
overall:  91%|█████████ | 3628/4000 [1:17:42<07:03,  1.14s/it]

train:   3%|▎         | 113/3515 [02:14<1:04:29,  1.14s/it]
overall:  91%|█████████ | 3629/4000 [1:17:43<07:11,  1.16s/it]

train:   3%|▎         | 114/3515 [02:16<1:05:58,  1.16s/it]
overall:  91%|█████████ | 3630/4000 [1:17:43<05:36,  1.10it/s]

train:   3%|▎         | 115/3515 [02:16<51:29,  1.10it/s]  
overall:  91%|█████████ | 3631/4000 [1:17:45<06:11,  1.01s/it]

train:   3%|▎         | 116/3515 [02:17<57:02,  1.01s/it]
overall:  91%|█████████ | 3632/4000 [1:17:46<06:33,  1.07s/it]

train:   3%|▎         | 117/3515 [02:18<1:00:37,  1.07s/it]
overall:  91%|█████████ | 3633/4000 [1:17:47<06:18,  1.03s/it]

train:   3%|▎         | 118/3515 [02:19<58:23,  1.03s/it]  
overall:  91%|█████████ | 3634/4000 [1:17:48<06:36,  1.08s/it]

train:   3%|▎         | 119/3515 [02:20<1:01:16,  1.08s/it]
overall:  91%|█████████ | 3635/4000 [1:17:49<06:24,  1.05s/it]

train:   3%|▎         | 120/3515 [02:21<59:37,  1.05s/it]  
overall:  91%|█████████ | 3636/4000 [1:17:50<06:45,  1.11s/it]

train:   3%|▎         | 121/3515 [02:23<1:02:58,  1.11s/it]
overall:  91%|█████████ | 3637/4000 [1:17:51<06:34,  1.09s/it]

train:   3%|▎         | 122/3515 [02:24<1:01:29,  1.09s/it]
overall:  91%|█████████ | 3638/4000 [1:17:53<06:54,  1.15s/it]

train:   3%|▎         | 123/3515 [02:25<1:04:48,  1.15s/it]
overall:  91%|█████████ | 3639/4000 [1:17:54<07:11,  1.20s/it]

train:   4%|▎         | 124/3515 [02:26<1:07:32,  1.20s/it]
overall:  91%|█████████ | 3640/4000 [1:17:55<07:00,  1.17s/it]

train:   4%|▎         | 125/3515 [02:27<1:06:00,  1.17s/it]
overall:  91%|█████████ | 3641/4000 [1:17:55<05:38,  1.06it/s]

train:   4%|▎         | 126/3515 [02:28<53:20,  1.06it/s]  
overall:  91%|█████████ | 3642/4000 [1:17:57<06:15,  1.05s/it]

train:   4%|▎         | 127/3515 [02:29<59:16,  1.05s/it]
overall:  91%|█████████ | 3643/4000 [1:17:58<06:14,  1.05s/it]

train:   4%|▎         | 128/3515 [02:30<59:11,  1.05s/it]
overall:  91%|█████████ | 3644/4000 [1:17:59<06:35,  1.11s/it]

train:   4%|▎         | 129/3515 [02:31<1:02:38,  1.11s/it]
overall:  91%|█████████ | 3645/4000 [1:18:00<06:22,  1.08s/it]

train:   4%|▎         | 130/3515 [02:32<1:00:50,  1.08s/it]
overall:  91%|█████████ | 3646/4000 [1:18:01<06:44,  1.14s/it]

train:   4%|▎         | 131/3515 [02:34<1:04:23,  1.14s/it]
overall:  91%|█████████ | 3647/4000 [1:18:02<06:41,  1.14s/it]

train:   4%|▍         | 132/3515 [02:35<1:04:06,  1.14s/it]
overall:  91%|█████████ | 3648/4000 [1:18:04<07:02,  1.20s/it]

train:   4%|▍         | 133/3515 [02:36<1:07:44,  1.20s/it]
overall:  91%|█████████ | 3649/4000 [1:18:05<06:57,  1.19s/it]

train:   4%|▍         | 134/3515 [02:37<1:07:03,  1.19s/it]
overall:  91%|█████████▏| 3650/4000 [1:18:06<07:08,  1.22s/it]

train:   4%|▍         | 135/3515 [02:39<1:08:59,  1.22s/it]
overall:  91%|█████████▏| 3651/4000 [1:18:08<07:12,  1.24s/it]

train:   4%|▍         | 136/3515 [02:40<1:09:44,  1.24s/it]
overall:  91%|█████████▏| 3652/4000 [1:18:09<06:54,  1.19s/it]

train:   4%|▍         | 137/3515 [02:41<1:07:01,  1.19s/it]
overall:  91%|█████████▏| 3653/4000 [1:18:10<06:56,  1.20s/it]

train:   4%|▍         | 138/3515 [02:42<1:07:35,  1.20s/it]
overall:  91%|█████████▏| 3654/4000 [1:18:11<07:05,  1.23s/it]

train:   4%|▍         | 139/3515 [02:44<1:09:07,  1.23s/it]
overall:  91%|█████████▏| 3655/4000 [1:18:12<07:04,  1.23s/it]

train:   4%|▍         | 140/3515 [02:45<1:09:08,  1.23s/it]
overall:  91%|█████████▏| 3656/4000 [1:18:14<06:55,  1.21s/it]

train:   4%|▍         | 141/3515 [02:46<1:07:50,  1.21s/it]
overall:  91%|█████████▏| 3657/4000 [1:18:15<06:40,  1.17s/it]

train:   4%|▍         | 142/3515 [02:47<1:05:39,  1.17s/it]
overall:  91%|█████████▏| 3658/4000 [1:18:16<06:52,  1.21s/it]

train:   4%|▍         | 143/3515 [02:48<1:07:49,  1.21s/it]
overall:  91%|█████████▏| 3659/4000 [1:18:17<06:52,  1.21s/it]

train:   4%|▍         | 144/3515 [02:50<1:08:01,  1.21s/it]
overall:  92%|█████████▏| 3660/4000 [1:18:18<07:00,  1.24s/it]

train:   4%|▍         | 145/3515 [02:51<1:09:29,  1.24s/it]
overall:  92%|█████████▏| 3661/4000 [1:18:20<07:05,  1.25s/it]

train:   4%|▍         | 146/3515 [02:52<1:10:25,  1.25s/it]
overall:  92%|█████████▏| 3662/4000 [1:18:20<05:32,  1.02it/s]

train:   4%|▍         | 147/3515 [02:53<55:13,  1.02it/s]  
overall:  92%|█████████▏| 3663/4000 [1:18:20<04:30,  1.25it/s]

train:   4%|▍         | 148/3515 [02:53<45:01,  1.25it/s]
overall:  92%|█████████▏| 3664/4000 [1:18:22<05:11,  1.08it/s]

train:   4%|▍         | 149/3515 [02:54<52:00,  1.08it/s]
overall:  92%|█████████▏| 3665/4000 [1:18:23<05:39,  1.01s/it]

train:   4%|▍         | 150/3515 [02:55<56:50,  1.01s/it]
overall:  92%|█████████▏| 3666/4000 [1:18:24<06:10,  1.11s/it]

train:   4%|▍         | 151/3515 [02:57<1:02:15,  1.11s/it]
overall:  92%|█████████▏| 3667/4000 [1:18:26<06:27,  1.17s/it]

train:   4%|▍         | 152/3515 [02:58<1:05:17,  1.17s/it]
overall:  92%|█████████▏| 3668/4000 [1:18:27<06:28,  1.17s/it]

train:   4%|▍         | 153/3515 [02:59<1:05:34,  1.17s/it]
overall:  92%|█████████▏| 3669/4000 [1:18:28<06:40,  1.21s/it]

train:   4%|▍         | 154/3515 [03:00<1:07:51,  1.21s/it]
overall:  92%|█████████▏| 3670/4000 [1:18:29<06:47,  1.24s/it]

train:   4%|▍         | 155/3515 [03:02<1:09:12,  1.24s/it]
overall:  92%|█████████▏| 3671/4000 [1:18:31<06:51,  1.25s/it]

train:   4%|▍         | 156/3515 [03:03<1:09:58,  1.25s/it]
overall:  92%|█████████▏| 3672/4000 [1:18:32<06:51,  1.25s/it]

train:   4%|▍         | 157/3515 [03:04<1:10:14,  1.25s/it]
overall:  92%|█████████▏| 3673/4000 [1:18:33<06:51,  1.26s/it]

train:   4%|▍         | 158/3515 [03:06<1:10:19,  1.26s/it]
overall:  92%|█████████▏| 3674/4000 [1:18:35<07:03,  1.30s/it]

train:   5%|▍         | 159/3515 [03:07<1:12:37,  1.30s/it]
overall:  92%|█████████▏| 3675/4000 [1:18:36<06:44,  1.24s/it]

train:   5%|▍         | 160/3515 [03:08<1:09:30,  1.24s/it]
overall:  92%|█████████▏| 3676/4000 [1:18:37<06:48,  1.26s/it]

train:   5%|▍         | 161/3515 [03:09<1:10:31,  1.26s/it]
overall:  92%|█████████▏| 3677/4000 [1:18:38<06:08,  1.14s/it]

train:   5%|▍         | 162/3515 [03:10<1:03:49,  1.14s/it]
overall:  92%|█████████▏| 3678/4000 [1:18:39<06:11,  1.15s/it]

train:   5%|▍         | 163/3515 [03:11<1:04:29,  1.15s/it]
overall:  92%|█████████▏| 3679/4000 [1:18:40<05:22,  1.00s/it]

train:   5%|▍         | 164/3515 [03:12<56:03,  1.00s/it]  
overall:  92%|█████████▏| 3680/4000 [1:18:41<05:39,  1.06s/it]

train:   5%|▍         | 165/3515 [03:13<59:09,  1.06s/it]
overall:  92%|█████████▏| 3681/4000 [1:18:42<05:54,  1.11s/it]

train:   5%|▍         | 166/3515 [03:14<1:02:05,  1.11s/it]
overall:  92%|█████████▏| 3682/4000 [1:18:43<06:00,  1.13s/it]

train:   5%|▍         | 167/3515 [03:16<1:03:13,  1.13s/it]
overall:  92%|█████████▏| 3683/4000 [1:18:45<06:09,  1.17s/it]

train:   5%|▍         | 168/3515 [03:17<1:05:06,  1.17s/it]
overall:  92%|█████████▏| 3684/4000 [1:18:46<06:14,  1.19s/it]

train:   5%|▍         | 169/3515 [03:18<1:06:07,  1.19s/it]
overall:  92%|█████████▏| 3685/4000 [1:18:47<06:20,  1.21s/it]

train:   5%|▍         | 170/3515 [03:19<1:07:16,  1.21s/it]
overall:  92%|█████████▏| 3686/4000 [1:18:48<06:38,  1.27s/it]

train:   5%|▍         | 171/3515 [03:21<1:10:45,  1.27s/it]
overall:  92%|█████████▏| 3687/4000 [1:18:50<06:28,  1.24s/it]

train:   5%|▍         | 172/3515 [03:22<1:09:12,  1.24s/it]
overall:  92%|█████████▏| 3688/4000 [1:18:51<06:30,  1.25s/it]

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overall:  92%|█████████▏| 3689/4000 [1:18:52<06:22,  1.23s/it]

train:   5%|▍         | 174/3515 [03:24<1:08:33,  1.23s/it]
overall:  92%|█████████▏| 3690/4000 [1:18:53<06:26,  1.25s/it]

train:   5%|▍         | 175/3515 [03:26<1:09:25,  1.25s/it]
overall:  92%|█████████▏| 3691/4000 [1:18:55<06:23,  1.24s/it]

train:   5%|▌         | 176/3515 [03:27<1:09:06,  1.24s/it]
overall:  92%|█████████▏| 3692/4000 [1:18:55<05:50,  1.14s/it]

train:   5%|▌         | 177/3515 [03:28<1:03:15,  1.14s/it]
overall:  92%|█████████▏| 3693/4000 [1:18:56<04:44,  1.08it/s]

train:   5%|▌         | 178/3515 [03:28<51:37,  1.08it/s]  
overall:  92%|█████████▏| 3694/4000 [1:18:57<05:14,  1.03s/it]

train:   5%|▌         | 179/3515 [03:30<57:06,  1.03s/it]
overall:  92%|█████████▏| 3695/4000 [1:18:58<05:38,  1.11s/it]

train:   5%|▌         | 180/3515 [03:31<1:01:39,  1.11s/it]
overall:  92%|█████████▏| 3696/4000 [1:19:00<05:58,  1.18s/it]

train:   5%|▌         | 181/3515 [03:32<1:05:27,  1.18s/it]
overall:  92%|█████████▏| 3697/4000 [1:19:00<04:57,  1.02it/s]

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overall: 100%|█████████▉| 3999/4000 [1:24:49<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [09:21<55:41,  1.10s/it]train loss: 7.686315059661865
train per: 0.7881453706374387
train loss: 7.023921966552734
train per: 0.7238648868475193
train loss: 6.673553466796875
train per: 0.7385644642671922
train loss: 6.4369354248046875
train per: 0.7196426444312091
train loss: 9.613847732543945
train per: 0.8337338343236631
train loss: 7.24154806137085
train per: 0.7382201742002504
train loss: 10.0895357131958
train per: 0.8322852821778237
train loss: 9.641423225402832
train per: 0.7930587868467128
train loss: 8.13336181640625
train per: 0.7827940220922677
train loss: 6.340975284576416
train per: 0.7102955195424213
train loss: 10.5386381149292
train per: 0.8655539674489372
train loss: 8.158782005310059
train per: 0.7374974742372197
train loss: 7.088059425354004
train per: 0.7054718034617532
train loss: 6.834463596343994
train per: 0.7466865513674741
train loss: 10.593862533569336
train per: 0.7924370162204802
train loss: 13.74395751953125
train per: 0.8193377546638676
train loss: 7.889778137207031
train per: 0.727279322853688
train loss: 5.091550350189209
train per: 0.6768866819693634
train loss: 5.6683197021484375
train per: 0.8027036602981658
train loss: 5.872920513153076
train per: 0.7402884835533847
train loss: 8.639416694641113
train per: 0.7888074450253921
train loss: 8.060663223266602
train per: 0.7543385055124541
train loss: 17.039569854736328
train per: 0.8519923112888981
train loss: 12.380929946899414
train per: 0.7752194345674714
train loss: 8.87205696105957
train per: 0.7136373121869783
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 495/2703 [00:00<00:00, 4945.71it/s]


word -> phonemes:  37%|███▋      | 1007/2703 [00:00<00:00, 5043.27it/s]


word -> phonemes:  57%|█████▋    | 1533/2703 [00:00<00:00, 5140.15it/s]


word -> phonemes:  76%|███████▌  | 2048/2703 [00:00<00:00, 5024.18it/s]


word -> phonemes:  94%|█████████▍| 2551/2703 [00:00<00:00, 4931.75it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4974.64it/s]



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overall: 100%|█████████▉| 3999/4000 [1:27:45<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:17<55:41,  1.10s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:27:45<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:17<55:41,  1.10s/it]
overall: 100%|██████████| 4000/4000 [1:27:45<00:00, 53.69s/it]

train:  14%|█▍        | 485/3515 [12:18<45:11:09, 53.69s/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 [12:18<1:16:52,  1.52s/it] 

overall: 100%|██████████| 4000/4000 [1:27:45<00:00,  1.32s/it]
dev loss: 8.487225532531738
dev per: 0.7686628511966701
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt