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

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


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

word -> phonemes:  13%|█▎        | 440/3515 [00:00<00:00, 4392.33it/s]

word -> phonemes:  26%|██▌       | 921/3515 [00:00<00:00, 4636.23it/s]

word -> phonemes:  40%|███▉      | 1396/3515 [00:00<00:00, 4686.09it/s]

word -> phonemes:  53%|█████▎    | 1865/3515 [00:00<00:00, 4677.44it/s]

word -> phonemes:  67%|██████▋   | 2338/3515 [00:00<00:00, 4693.24it/s]

word -> phonemes:  80%|███████▉  | 2808/3515 [00:00<00:00, 4657.61it/s]

word -> phonemes:  93%|█████████▎| 3274/3515 [00:00<00:00, 4562.61it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4516.47it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:58:46,  4.48s/it]

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overall:   0%|          | 2/4000 [00:05<2:47:43,  2.52s/it]

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overall:   0%|          | 3/4000 [00:06<2:07:09,  1.91s/it]

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overall:   0%|          | 4/4000 [00:08<1:48:34,  1.63s/it]

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overall:   0%|          | 5/4000 [00:09<1:38:30,  1.48s/it]

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overall:   0%|          | 7/4000 [00:11<1:29:10,  1.34s/it]

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overall:   0%|          | 8/4000 [00:12<1:25:48,  1.29s/it]

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overall:   0%|          | 9/4000 [00:14<1:25:46,  1.29s/it]

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overall:   0%|          | 15/4000 [00:19<1:08:42,  1.03s/it]

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overall:   0%|          | 16/4000 [00:20<1:12:09,  1.09s/it]

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overall:   0%|          | 17/4000 [00:21<1:13:02,  1.10s/it]

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overall:   0%|          | 18/4000 [00:22<1:16:53,  1.16s/it]

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overall:   0%|          | 20/4000 [00:24<1:07:39,  1.02s/it]

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overall:   1%|          | 21/4000 [00:25<1:12:27,  1.09s/it]

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overall:   1%|          | 22/4000 [00:27<1:15:55,  1.15s/it]

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overall:   1%|          | 23/4000 [00:28<1:18:22,  1.18s/it]

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overall:   1%|          | 24/4000 [00:29<1:16:45,  1.16s/it]

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overall:   1%|          | 25/4000 [00:30<1:17:56,  1.18s/it]

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overall:   1%|          | 26/4000 [00:31<1:18:18,  1.18s/it]

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overall:   1%|          | 27/4000 [00:33<1:19:32,  1.20s/it]

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overall:   1%|          | 28/4000 [00:34<1:18:12,  1.18s/it]

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overall:   1%|          | 29/4000 [00:35<1:17:38,  1.17s/it]

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overall:   1%|          | 30/4000 [00:36<1:19:32,  1.20s/it]

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overall:   1%|          | 31/4000 [00:37<1:20:40,  1.22s/it]

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overall:   1%|          | 32/4000 [00:39<1:20:41,  1.22s/it]

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overall:   1%|          | 33/4000 [00:40<1:22:09,  1.24s/it]

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overall:   1%|          | 34/4000 [00:40<1:02:56,  1.05it/s]

train:   1%|          | 34/3515 [00:38<55:14,  1.05it/s]  
overall:   1%|          | 35/4000 [00:41<1:08:45,  1.04s/it]

train:   1%|          | 35/3515 [00:40<1:00:20,  1.04s/it]
overall:   1%|          | 36/4000 [00:43<1:12:59,  1.10s/it]

train:   1%|          | 36/3515 [00:41<1:04:03,  1.10s/it]
overall:   1%|          | 37/4000 [00:44<1:13:11,  1.11s/it]

train:   1%|          | 37/3515 [00:42<1:04:13,  1.11s/it]
overall:   1%|          | 38/4000 [00:45<1:14:34,  1.13s/it]

train:   1%|          | 38/3515 [00:43<1:05:26,  1.13s/it]
overall:   1%|          | 39/4000 [00:46<1:14:01,  1.12s/it]

train:   1%|          | 39/3515 [00:44<1:04:57,  1.12s/it]
overall:   1%|          | 40/4000 [00:47<1:06:35,  1.01s/it]

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overall:   1%|          | 41/4000 [00:48<1:09:51,  1.06s/it]

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overall:   1%|          | 42/4000 [00:49<1:13:37,  1.12s/it]

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overall:   1%|          | 43/4000 [00:50<1:14:11,  1.13s/it]

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overall:   1%|          | 45/4000 [00:52<1:04:15,  1.03it/s]

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overall:   1%|          | 46/4000 [00:53<53:32,  1.23it/s]  

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overall:   1%|          | 47/4000 [00:54<1:01:18,  1.07it/s]

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overall:   1%|          | 48/4000 [00:55<1:02:28,  1.05it/s]

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overall:   1%|▏         | 50/4000 [00:57<1:10:44,  1.07s/it]

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overall:   1%|▏         | 51/4000 [00:58<1:11:18,  1.08s/it]

train:   1%|▏         | 51/3515 [00:57<1:02:32,  1.08s/it]
overall:   1%|▏         | 52/4000 [01:00<1:14:15,  1.13s/it]

train:   1%|▏         | 52/3515 [00:58<1:05:08,  1.13s/it]
overall:   1%|▏         | 53/4000 [01:01<1:15:28,  1.15s/it]

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overall:   1%|▏         | 54/4000 [01:02<1:15:07,  1.14s/it]

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overall:   1%|▏         | 55/4000 [01:03<1:17:06,  1.17s/it]

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overall:   1%|▏         | 56/4000 [01:04<1:17:31,  1.18s/it]

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overall:   1%|▏         | 57/4000 [01:06<1:24:26,  1.28s/it]

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overall:   1%|▏         | 58/4000 [01:07<1:24:17,  1.28s/it]

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overall:   1%|▏         | 59/4000 [01:08<1:22:35,  1.26s/it]

train:   2%|▏         | 59/3515 [01:07<1:12:25,  1.26s/it]
overall:   2%|▏         | 60/4000 [01:10<1:21:03,  1.23s/it]

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overall:   2%|▏         | 61/4000 [01:11<1:18:33,  1.20s/it]

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overall:   2%|▏         | 62/4000 [01:12<1:12:57,  1.11s/it]

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overall:   2%|▏         | 65/4000 [01:15<1:14:10,  1.13s/it]

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overall:   2%|▏         | 66/4000 [01:16<1:16:27,  1.17s/it]

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overall:   2%|▏         | 70/4000 [01:20<1:06:18,  1.01s/it]

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overall:   6%|▌         | 243/4000 [04:40<1:09:26,  1.11s/it]

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train:   7%|▋         | 249/3515 [04:45<1:01:28,  1.13s/it]
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overall:   6%|▋         | 251/4000 [04:49<1:05:03,  1.04s/it]

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overall:   6%|▋         | 252/4000 [04:50<1:07:39,  1.08s/it]

train:   7%|▋         | 252/3515 [04:48<58:54,  1.08s/it]
overall:   6%|▋         | 253/4000 [04:51<1:10:08,  1.12s/it]

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train:   7%|▋         | 257/3515 [04:54<1:05:08,  1.20s/it]
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train:   7%|▋         | 258/3515 [04:55<1:04:18,  1.18s/it]
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train:   7%|▋         | 259/3515 [04:56<1:05:50,  1.21s/it]
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train:   7%|▋         | 260/3515 [04:58<1:05:41,  1.21s/it]
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train:   7%|▋         | 261/3515 [04:59<1:04:32,  1.19s/it]
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train:   7%|▋         | 262/3515 [05:00<1:04:36,  1.19s/it]
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train:   7%|▋         | 263/3515 [05:01<1:06:03,  1.22s/it]
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train:   8%|▊         | 264/3515 [05:03<1:07:04,  1.24s/it]
overall:   7%|▋         | 265/4000 [05:06<1:20:29,  1.29s/it]

train:   8%|▊         | 265/3515 [05:04<1:10:02,  1.29s/it]
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train:   8%|▊         | 266/3515 [05:05<1:09:41,  1.29s/it]
overall:   7%|▋         | 267/4000 [05:08<1:18:34,  1.26s/it]

train:   8%|▊         | 267/3515 [05:06<1:08:22,  1.26s/it]
overall:   7%|▋         | 268/4000 [05:10<1:17:55,  1.25s/it]

train:   8%|▊         | 268/3515 [05:08<1:07:47,  1.25s/it]
overall:   7%|▋         | 269/4000 [05:11<1:12:00,  1.16s/it]

train:   8%|▊         | 269/3515 [05:09<1:02:38,  1.16s/it]
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train:   8%|▊         | 270/3515 [05:10<1:02:40,  1.16s/it]
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train:   8%|▊         | 271/3515 [05:11<1:05:17,  1.21s/it]
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train:   8%|▊         | 272/3515 [05:12<1:04:06,  1.19s/it]
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train:   8%|▊         | 273/3515 [05:14<1:05:39,  1.22s/it]
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train:   8%|▊         | 274/3515 [05:15<1:06:28,  1.23s/it]
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train:   8%|▊         | 275/3515 [05:16<1:03:52,  1.18s/it]
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train:   8%|▊         | 277/3515 [05:18<1:06:31,  1.23s/it]
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train:   8%|▊         | 278/3515 [05:20<1:05:14,  1.21s/it]
overall:   7%|▋         | 279/4000 [05:22<1:08:16,  1.10s/it]

train:   8%|▊         | 279/3515 [05:20<59:22,  1.10s/it]  
overall:   7%|▋         | 280/4000 [05:24<1:10:53,  1.14s/it]

train:   8%|▊         | 280/3515 [05:22<1:01:39,  1.14s/it]
overall:   7%|▋         | 281/4000 [05:25<1:13:22,  1.18s/it]

train:   8%|▊         | 281/3515 [05:23<1:03:48,  1.18s/it]
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train:   8%|▊         | 282/3515 [05:24<1:06:04,  1.23s/it]
overall:   7%|▋         | 283/4000 [05:27<1:14:39,  1.21s/it]

train:   8%|▊         | 283/3515 [05:25<1:04:55,  1.21s/it]
overall:   7%|▋         | 284/4000 [05:28<1:10:08,  1.13s/it]

train:   8%|▊         | 284/3515 [05:26<1:00:58,  1.13s/it]
overall:   7%|▋         | 285/4000 [05:29<1:11:10,  1.15s/it]

train:   8%|▊         | 285/3515 [05:28<1:01:53,  1.15s/it]
overall:   7%|▋         | 286/4000 [05:30<1:02:00,  1.00s/it]

train:   8%|▊         | 286/3515 [05:28<53:54,  1.00s/it]  
overall:   7%|▋         | 287/4000 [05:31<1:01:59,  1.00s/it]

train:   8%|▊         | 287/3515 [05:29<53:54,  1.00s/it]
overall:   7%|▋         | 288/4000 [05:32<1:06:01,  1.07s/it]

train:   8%|▊         | 288/3515 [05:30<57:23,  1.07s/it]
overall:   7%|▋         | 289/4000 [05:34<1:11:03,  1.15s/it]

train:   8%|▊         | 289/3515 [05:32<1:01:46,  1.15s/it]
overall:   7%|▋         | 290/4000 [05:35<1:12:21,  1.17s/it]

train:   8%|▊         | 290/3515 [05:33<1:02:53,  1.17s/it]
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train:   8%|▊         | 291/3515 [05:34<1:01:25,  1.14s/it]
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train:  10%|▉         | 337/3515 [06:23<58:34,  1.11s/it]
overall:   8%|▊         | 338/4000 [06:26<1:08:26,  1.12s/it]

train:  10%|▉         | 338/3515 [06:24<59:22,  1.12s/it]
overall:   8%|▊         | 339/4000 [06:27<55:29,  1.10it/s]  

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overall:   9%|▉         | 375/4000 [07:07<1:08:22,  1.13s/it]

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train:  11%|█         | 384/3515 [07:16<1:04:06,  1.23s/it]
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train:  11%|█         | 385/3515 [07:17<1:06:05,  1.27s/it]
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overall:  10%|▉         | 390/4000 [07:24<54:31,  1.10it/s]  

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overall:  10%|▉         | 396/4000 [07:31<1:08:19,  1.14s/it]

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overall:  10%|▉         | 398/4000 [07:33<1:09:16,  1.15s/it]

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overall:  10%|█         | 401/4000 [07:37<1:11:31,  1.19s/it]

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overall:  10%|█         | 403/4000 [07:39<1:06:40,  1.11s/it]

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overall:  10%|█         | 404/4000 [07:40<1:08:54,  1.15s/it]

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overall:  10%|█         | 405/4000 [07:41<1:11:03,  1.19s/it]

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overall:  10%|█         | 407/4000 [07:43<1:05:10,  1.09s/it]

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overall:  10%|█         | 408/4000 [07:44<1:07:50,  1.13s/it]

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overall:  11%|█         | 421/4000 [07:59<1:13:43,  1.24s/it]

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overall:  11%|█         | 426/4000 [08:05<57:30,  1.04it/s]  

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overall:  11%|█         | 427/4000 [08:06<1:03:02,  1.06s/it]

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overall:  11%|█         | 428/4000 [08:07<1:06:06,  1.11s/it]

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overall:  11%|█         | 431/4000 [08:10<49:52,  1.19it/s]  

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overall:  11%|█         | 446/4000 [08:26<55:43,  1.06it/s]  

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overall:  11%|█▏        | 451/4000 [08:32<1:04:06,  1.08s/it]

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overall:  11%|█▏        | 452/4000 [08:33<1:05:49,  1.11s/it]

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overall:  11%|█▏        | 453/4000 [08:34<53:26,  1.11it/s]  

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overall:  11%|█▏        | 454/4000 [08:35<58:58,  1.00it/s]

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overall:  11%|█▏        | 457/4000 [08:39<1:09:50,  1.18s/it]

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overall:  11%|█▏        | 458/4000 [08:40<1:08:55,  1.17s/it]

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overall:  12%|█▏        | 462/4000 [08:44<1:08:59,  1.17s/it]

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overall:  12%|█▏        | 463/4000 [08:46<1:10:44,  1.20s/it]

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overall:  12%|█▏        | 466/4000 [08:49<1:08:31,  1.16s/it]

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overall:  12%|█▏        | 468/4000 [08:51<59:06,  1.00s/it]  

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overall:  12%|█▏        | 471/4000 [08:54<1:06:09,  1.12s/it]

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overall:  12%|█▏        | 472/4000 [08:56<1:07:42,  1.15s/it]

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overall:  12%|█▏        | 473/4000 [08:57<1:09:43,  1.19s/it]

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overall:  12%|█▏        | 486/4000 [09:11<1:07:21,  1.15s/it]

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overall:  12%|█▏        | 487/4000 [09:12<1:10:39,  1.21s/it]

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overall:  12%|█▏        | 488/4000 [09:13<55:59,  1.05it/s]  

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overall:  12%|█▏        | 489/4000 [09:14<55:55,  1.05it/s]

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overall:  12%|█▏        | 492/4000 [09:17<53:22,  1.10it/s]  

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overall:  12%|█▏        | 495/4000 [09:20<1:03:07,  1.08s/it]

train:  14%|█▍        | 495/3515 [09:18<54:23,  1.08s/it]
overall:  12%|█▏        | 496/4000 [09:21<1:04:00,  1.10s/it]

train:  14%|█▍        | 496/3515 [09:19<55:08,  1.10s/it]
overall:  12%|█▏        | 497/4000 [09:22<1:05:57,  1.13s/it]

train:  14%|█▍        | 497/3515 [09:21<56:49,  1.13s/it]
overall:  12%|█▏        | 498/4000 [09:24<1:07:09,  1.15s/it]

train:  14%|█▍        | 498/3515 [09:22<57:51,  1.15s/it]
overall:  12%|█▏        | 499/4000 [09:25<1:04:38,  1.11s/it]

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overall:  12%|█▎        | 500/4000 [09:25<55:24,  1.05it/s]  

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overall:  13%|█▎        | 501/4000 [09:26<1:00:20,  1.03s/it]

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overall:  13%|█▎        | 502/4000 [09:28<1:03:28,  1.09s/it]

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overall:  13%|█▎        | 504/4000 [09:30<1:07:38,  1.16s/it]

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overall:  13%|█▎        | 505/4000 [09:32<1:12:05,  1.24s/it]

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overall:  13%|█▎        | 507/4000 [09:34<1:08:45,  1.18s/it]

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overall:  13%|█▎        | 510/4000 [09:37<1:10:44,  1.22s/it]

train:  15%|█▍        | 510/3515 [09:36<1:00:54,  1.22s/it]
overall:  13%|█▎        | 511/4000 [09:39<1:10:27,  1.21s/it]

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overall:  13%|█▎        | 512/4000 [09:40<1:09:10,  1.19s/it]

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overall:  13%|█▎        | 513/4000 [09:41<1:10:37,  1.22s/it]

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overall:  13%|█▎        | 515/4000 [09:43<1:06:57,  1.15s/it]

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overall:  13%|█▎        | 518/4000 [09:46<57:34,  1.01it/s]  

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overall:  13%|█▎        | 519/4000 [09:48<1:02:37,  1.08s/it]

train:  15%|█▍        | 519/3515 [09:46<53:54,  1.08s/it]
overall:  13%|█▎        | 520/4000 [09:49<1:04:17,  1.11s/it]

train:  15%|█▍        | 520/3515 [09:47<55:19,  1.11s/it]
overall:  13%|█▎        | 521/4000 [09:50<1:06:33,  1.15s/it]

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overall:  13%|█▎        | 522/4000 [09:51<1:08:49,  1.19s/it]

train:  15%|█▍        | 522/3515 [09:49<59:13,  1.19s/it]
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overall:  13%|█▎        | 527/4000 [09:57<1:11:22,  1.23s/it]

train:  15%|█▍        | 527/3515 [09:56<1:01:24,  1.23s/it]
overall:  13%|█▎        | 528/4000 [09:58<53:57,  1.07it/s]  

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overall:  13%|█▎        | 531/4000 [10:01<55:06,  1.05it/s]  

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overall:  13%|█▎        | 534/4000 [10:04<54:39,  1.06it/s]  

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overall:  13%|█▎        | 535/4000 [10:05<1:00:09,  1.04s/it]

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overall:  13%|█▎        | 536/4000 [10:06<1:02:07,  1.08s/it]

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overall:  13%|█▎        | 537/4000 [10:08<1:06:56,  1.16s/it]

train:  15%|█▌        | 537/3515 [10:06<57:34,  1.16s/it]
overall:  13%|█▎        | 538/4000 [10:09<1:08:49,  1.19s/it]

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overall:  14%|█▎        | 540/4000 [10:10<52:35,  1.10it/s]  

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overall:  14%|█▎        | 541/4000 [10:12<59:00,  1.02s/it]

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overall:  14%|█▎        | 543/4000 [10:14<1:04:31,  1.12s/it]

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overall:  14%|█▎        | 544/4000 [10:15<1:04:52,  1.13s/it]

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overall:  14%|█▎        | 545/4000 [10:16<1:06:29,  1.15s/it]

train:  16%|█▌        | 545/3515 [10:14<57:09,  1.15s/it]
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overall:  14%|█▎        | 547/4000 [10:19<1:08:02,  1.18s/it]

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overall:  14%|█▎        | 549/4000 [10:21<1:09:04,  1.20s/it]

train:  16%|█▌        | 549/3515 [10:19<59:21,  1.20s/it]
overall:  14%|█▍        | 550/4000 [10:22<1:09:35,  1.21s/it]

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overall:  14%|█▍        | 551/4000 [10:24<1:09:06,  1.20s/it]

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overall:  14%|█▍        | 552/4000 [10:24<1:01:22,  1.07s/it]

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overall:  14%|█▍        | 554/4000 [10:27<1:06:12,  1.15s/it]

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overall:  14%|█▍        | 555/4000 [10:27<52:43,  1.09it/s]  

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overall:  14%|█▍        | 556/4000 [10:28<57:48,  1.01s/it]

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overall:  14%|█▍        | 558/4000 [10:31<1:03:44,  1.11s/it]

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overall:  14%|█▍        | 560/4000 [10:33<1:03:39,  1.11s/it]

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overall:  14%|█▍        | 561/4000 [10:34<1:05:44,  1.15s/it]

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overall:  14%|█▍        | 565/4000 [10:38<54:00,  1.06it/s]  

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overall:  14%|█▍        | 566/4000 [10:39<59:00,  1.03s/it]

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overall:  14%|█▍        | 568/4000 [10:41<48:15,  1.19it/s]  

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overall:  14%|█▍        | 569/4000 [10:42<54:46,  1.04it/s]

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overall:  14%|█▍        | 571/4000 [10:45<1:04:16,  1.12s/it]

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overall:  14%|█▍        | 572/4000 [10:46<1:06:01,  1.16s/it]

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overall:  14%|█▍        | 574/4000 [10:48<1:08:26,  1.20s/it]

train:  16%|█▋        | 574/3515 [10:46<58:45,  1.20s/it]
overall:  14%|█▍        | 575/4000 [10:50<1:09:57,  1.23s/it]

train:  16%|█▋        | 575/3515 [10:48<1:00:03,  1.23s/it]
overall:  14%|█▍        | 576/4000 [10:51<1:10:02,  1.23s/it]

train:  16%|█▋        | 576/3515 [10:49<1:00:07,  1.23s/it]
overall:  14%|█▍        | 577/4000 [10:52<1:09:46,  1.22s/it]

train:  16%|█▋        | 577/3515 [10:50<59:53,  1.22s/it]  
overall:  14%|█▍        | 578/4000 [10:53<1:09:35,  1.22s/it]

train:  16%|█▋        | 578/3515 [10:51<59:43,  1.22s/it]
overall:  14%|█▍        | 579/4000 [10:54<59:29,  1.04s/it]  

train:  16%|█▋        | 579/3515 [10:52<51:03,  1.04s/it]
overall:  14%|█▍        | 580/4000 [10:55<1:01:55,  1.09s/it]

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overall:  15%|█▍        | 581/4000 [10:56<1:01:37,  1.08s/it]

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overall:  15%|█▍        | 582/4000 [10:57<1:02:24,  1.10s/it]

train:  17%|█▋        | 582/3515 [10:55<53:32,  1.10s/it]
overall:  15%|█▍        | 583/4000 [10:59<1:06:23,  1.17s/it]

train:  17%|█▋        | 583/3515 [10:57<56:57,  1.17s/it]
overall:  15%|█▍        | 584/4000 [11:00<1:04:15,  1.13s/it]

train:  17%|█▋        | 584/3515 [10:58<55:07,  1.13s/it]
overall:  15%|█▍        | 585/4000 [11:01<1:07:11,  1.18s/it]

train:  17%|█▋        | 585/3515 [10:59<57:39,  1.18s/it]
overall:  15%|█▍        | 586/4000 [11:02<1:08:26,  1.20s/it]

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overall:  15%|█▍        | 587/4000 [11:03<1:09:40,  1.22s/it]

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overall:  15%|█▍        | 588/4000 [11:05<1:09:36,  1.22s/it]

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overall:  15%|█▍        | 589/4000 [11:06<1:07:47,  1.19s/it]

train:  17%|█▋        | 589/3515 [11:04<58:09,  1.19s/it]
overall:  15%|█▍        | 590/4000 [11:06<58:36,  1.03s/it]  

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overall:  15%|█▍        | 591/4000 [11:08<1:02:55,  1.11s/it]

train:  17%|█▋        | 591/3515 [11:06<53:58,  1.11s/it]
overall:  15%|█▍        | 592/4000 [11:09<1:04:58,  1.14s/it]

train:  17%|█▋        | 592/3515 [11:07<55:43,  1.14s/it]
overall:  15%|█▍        | 593/4000 [11:10<1:04:23,  1.13s/it]

train:  17%|█▋        | 593/3515 [11:08<55:13,  1.13s/it]
overall:  15%|█▍        | 594/4000 [11:11<1:05:32,  1.15s/it]

train:  17%|█▋        | 594/3515 [11:09<56:12,  1.15s/it]
overall:  15%|█▍        | 595/4000 [11:13<1:06:18,  1.17s/it]

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overall:  15%|█▍        | 596/4000 [11:14<1:07:04,  1.18s/it]

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overall:  15%|█▍        | 597/4000 [11:14<57:46,  1.02s/it]  

train:  17%|█▋        | 597/3515 [11:12<49:32,  1.02s/it]
overall:  15%|█▍        | 598/4000 [11:16<1:01:18,  1.08s/it]

train:  17%|█▋        | 598/3515 [11:14<52:34,  1.08s/it]
overall:  15%|█▍        | 599/4000 [11:17<1:02:13,  1.10s/it]

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overall:  15%|█▌        | 600/4000 [11:18<59:37,  1.05s/it]  

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overall:  15%|█▌        | 601/4000 [11:19<58:15,  1.03s/it]

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overall:  15%|█▌        | 602/4000 [11:20<1:00:41,  1.07s/it]

train:  17%|█▋        | 602/3515 [11:18<52:01,  1.07s/it]
overall:  15%|█▌        | 603/4000 [11:21<1:03:01,  1.11s/it]

train:  17%|█▋        | 603/3515 [11:19<54:01,  1.11s/it]
overall:  15%|█▌        | 604/4000 [11:22<1:03:53,  1.13s/it]

train:  17%|█▋        | 604/3515 [11:20<54:46,  1.13s/it]
overall:  15%|█▌        | 605/4000 [11:23<1:06:24,  1.17s/it]

train:  17%|█▋        | 605/3515 [11:22<56:54,  1.17s/it]
overall:  15%|█▌        | 606/4000 [11:25<1:04:28,  1.14s/it]

train:  17%|█▋        | 606/3515 [11:23<55:15,  1.14s/it]
overall:  15%|█▌        | 607/4000 [11:25<1:00:03,  1.06s/it]

train:  17%|█▋        | 607/3515 [11:24<51:28,  1.06s/it]
overall:  15%|█▌        | 608/4000 [11:27<1:02:41,  1.11s/it]

train:  17%|█▋        | 608/3515 [11:25<53:43,  1.11s/it]
overall:  15%|█▌        | 609/4000 [11:28<1:04:27,  1.14s/it]

train:  17%|█▋        | 609/3515 [11:26<55:14,  1.14s/it]
overall:  15%|█▌        | 610/4000 [11:29<1:05:47,  1.16s/it]

train:  17%|█▋        | 610/3515 [11:27<56:22,  1.16s/it]
overall:  15%|█▌        | 611/4000 [11:30<53:43,  1.05it/s]  

train:  17%|█▋        | 611/3515 [11:28<46:02,  1.05it/s]
overall:  15%|█▌        | 612/4000 [11:30<48:03,  1.17it/s]

train:  17%|█▋        | 612/3515 [11:28<41:10,  1.17it/s]
overall:  15%|█▌        | 613/4000 [11:31<54:14,  1.04it/s]

train:  17%|█▋        | 613/3515 [11:29<46:28,  1.04it/s]
overall:  15%|█▌        | 614/4000 [11:33<59:38,  1.06s/it]

train:  17%|█▋        | 614/3515 [11:31<51:06,  1.06s/it]
overall:  15%|█▌        | 615/4000 [11:34<1:02:13,  1.10s/it]

train:  17%|█▋        | 615/3515 [11:32<53:18,  1.10s/it]
overall:  15%|█▌        | 616/4000 [11:35<1:02:29,  1.11s/it]

train:  18%|█▊        | 616/3515 [11:33<53:32,  1.11s/it]
overall:  15%|█▌        | 617/4000 [11:36<1:05:21,  1.16s/it]

train:  18%|█▊        | 617/3515 [11:34<55:59,  1.16s/it]
overall:  15%|█▌        | 618/4000 [11:38<1:07:02,  1.19s/it]

train:  18%|█▊        | 618/3515 [11:36<57:25,  1.19s/it]
overall:  15%|█▌        | 619/4000 [11:39<1:06:33,  1.18s/it]

train:  18%|█▊        | 619/3515 [11:37<57:00,  1.18s/it]
overall:  16%|█▌        | 620/4000 [11:40<1:07:12,  1.19s/it]

train:  18%|█▊        | 620/3515 [11:38<57:33,  1.19s/it]
overall:  16%|█▌        | 621/4000 [11:41<1:07:36,  1.20s/it]

train:  18%|█▊        | 621/3515 [11:39<57:54,  1.20s/it]
overall:  16%|█▌        | 622/4000 [11:42<1:07:42,  1.20s/it]

train:  18%|█▊        | 622/3515 [11:40<57:59,  1.20s/it]
overall:  16%|█▌        | 623/4000 [11:44<1:08:35,  1.22s/it]

train:  18%|█▊        | 623/3515 [11:42<58:44,  1.22s/it]
overall:  16%|█▌        | 624/4000 [11:45<1:08:41,  1.22s/it]

train:  18%|█▊        | 624/3515 [11:43<58:49,  1.22s/it]
overall:  16%|█▌        | 625/4000 [11:46<1:09:03,  1.23s/it]

train:  18%|█▊        | 625/3515 [11:44<59:08,  1.23s/it]
overall:  16%|█▌        | 626/4000 [11:47<1:07:57,  1.21s/it]

train:  18%|█▊        | 626/3515 [11:45<58:11,  1.21s/it]
overall:  16%|█▌        | 627/4000 [11:48<1:07:56,  1.21s/it]

train:  18%|█▊        | 627/3515 [11:47<58:09,  1.21s/it]
overall:  16%|█▌        | 628/4000 [11:50<1:08:11,  1.21s/it]

train:  18%|█▊        | 628/3515 [11:48<58:23,  1.21s/it]
overall:  16%|█▌        | 629/4000 [11:51<1:08:32,  1.22s/it]

train:  18%|█▊        | 629/3515 [11:49<58:40,  1.22s/it]
overall:  16%|█▌        | 630/4000 [11:52<1:04:18,  1.15s/it]

train:  18%|█▊        | 630/3515 [11:50<55:03,  1.15s/it]
overall:  16%|█▌        | 631/4000 [11:53<1:04:51,  1.15s/it]

train:  18%|█▊        | 631/3515 [11:51<55:30,  1.15s/it]
overall:  16%|█▌        | 632/4000 [11:54<1:04:55,  1.16s/it]

train:  18%|█▊        | 632/3515 [11:52<55:34,  1.16s/it]
overall:  16%|█▌        | 633/4000 [11:56<1:08:11,  1.22s/it]

train:  18%|█▊        | 633/3515 [11:54<58:22,  1.22s/it]
overall:  16%|█▌        | 634/4000 [11:57<1:09:10,  1.23s/it]

train:  18%|█▊        | 634/3515 [11:55<59:12,  1.23s/it]
overall:  16%|█▌        | 635/4000 [11:57<55:19,  1.01it/s]  

train:  18%|█▊        | 635/3515 [11:55<47:21,  1.01it/s]
overall:  16%|█▌        | 636/4000 [11:58<57:00,  1.02s/it]

train:  18%|█▊        | 636/3515 [11:56<48:47,  1.02s/it]
overall:  16%|█▌        | 637/4000 [12:00<1:00:29,  1.08s/it]

train:  18%|█▊        | 637/3515 [11:58<51:46,  1.08s/it]
overall:  16%|█▌        | 638/4000 [12:00<48:36,  1.15it/s]  

train:  18%|█▊        | 638/3515 [11:58<41:36,  1.15it/s]
overall:  16%|█▌        | 639/4000 [12:01<55:37,  1.01it/s]

train:  18%|█▊        | 639/3515 [11:59<47:36,  1.01it/s]
overall:  16%|█▌        | 640/4000 [12:02<55:55,  1.00it/s]

train:  18%|█▊        | 640/3515 [12:00<47:51,  1.00it/s]
overall:  16%|█▌        | 641/4000 [12:03<59:03,  1.05s/it]

train:  18%|█▊        | 641/3515 [12:02<50:31,  1.05s/it]
overall:  16%|█▌        | 642/4000 [12:05<1:01:35,  1.10s/it]

train:  18%|█▊        | 642/3515 [12:03<52:41,  1.10s/it]
overall:  16%|█▌        | 643/4000 [12:06<1:04:23,  1.15s/it]

train:  18%|█▊        | 643/3515 [12:04<55:05,  1.15s/it]
overall:  16%|█▌        | 644/4000 [12:07<1:05:08,  1.16s/it]

train:  18%|█▊        | 644/3515 [12:05<55:43,  1.16s/it]
overall:  16%|█▌        | 645/4000 [12:08<56:14,  1.01s/it]  

train:  18%|█▊        | 645/3515 [12:06<48:06,  1.01s/it]
overall:  16%|█▌        | 646/4000 [12:09<59:52,  1.07s/it]

train:  18%|█▊        | 646/3515 [12:07<51:13,  1.07s/it]
overall:  16%|█▌        | 647/4000 [12:10<1:00:01,  1.07s/it]

train:  18%|█▊        | 647/3515 [12:08<51:20,  1.07s/it]
overall:  16%|█▌        | 648/4000 [12:11<1:01:57,  1.11s/it]

train:  18%|█▊        | 648/3515 [12:09<52:59,  1.11s/it]
overall:  16%|█▌        | 649/4000 [12:13<1:06:20,  1.19s/it]

train:  18%|█▊        | 649/3515 [12:11<56:43,  1.19s/it]
overall:  16%|█▋        | 650/4000 [12:14<1:03:34,  1.14s/it]

train:  18%|█▊        | 650/3515 [12:12<54:21,  1.14s/it]
overall:  16%|█▋        | 651/4000 [12:15<1:05:52,  1.18s/it]

train:  19%|█▊        | 651/3515 [12:13<56:20,  1.18s/it]
overall:  16%|█▋        | 652/4000 [12:16<1:08:02,  1.22s/it]

train:  19%|█▊        | 652/3515 [12:14<58:11,  1.22s/it]
overall:  16%|█▋        | 653/4000 [12:17<1:08:47,  1.23s/it]

train:  19%|█▊        | 653/3515 [12:16<58:49,  1.23s/it]
overall:  16%|█▋        | 654/4000 [12:19<1:08:44,  1.23s/it]

train:  19%|█▊        | 654/3515 [12:17<58:46,  1.23s/it]
overall:  16%|█▋        | 655/4000 [12:20<1:04:27,  1.16s/it]

train:  19%|█▊        | 655/3515 [12:18<55:06,  1.16s/it]
overall:  16%|█▋        | 656/4000 [12:21<1:05:52,  1.18s/it]

train:  19%|█▊        | 656/3515 [12:19<56:19,  1.18s/it]
overall:  16%|█▋        | 657/4000 [12:22<1:06:39,  1.20s/it]

train:  19%|█▊        | 657/3515 [12:20<56:59,  1.20s/it]
overall:  16%|█▋        | 658/4000 [12:23<1:04:28,  1.16s/it]

train:  19%|█▊        | 658/3515 [12:21<55:06,  1.16s/it]
overall:  16%|█▋        | 659/4000 [12:24<54:45,  1.02it/s]  

train:  19%|█▊        | 659/3515 [12:22<46:48,  1.02it/s]
overall:  16%|█▋        | 660/4000 [12:25<59:58,  1.08s/it]

train:  19%|█▉        | 660/3515 [12:23<51:16,  1.08s/it]
overall:  17%|█▋        | 661/4000 [12:26<1:03:13,  1.14s/it]

train:  19%|█▉        | 661/3515 [12:24<54:02,  1.14s/it]
overall:  17%|█▋        | 662/4000 [12:27<1:01:55,  1.11s/it]

train:  19%|█▉        | 662/3515 [12:26<52:55,  1.11s/it]
overall:  17%|█▋        | 663/4000 [12:29<1:02:13,  1.12s/it]

train:  19%|█▉        | 663/3515 [12:27<53:11,  1.12s/it]
overall:  17%|█▋        | 664/4000 [12:30<1:02:16,  1.12s/it]

train:  19%|█▉        | 664/3515 [12:28<53:13,  1.12s/it]
overall:  17%|█▋        | 665/4000 [12:31<1:04:11,  1.15s/it]

train:  19%|█▉        | 665/3515 [12:29<54:51,  1.15s/it]
overall:  17%|█▋        | 666/4000 [12:32<1:06:01,  1.19s/it]

train:  19%|█▉        | 666/3515 [12:30<56:24,  1.19s/it]
overall:  17%|█▋        | 667/4000 [12:33<1:02:54,  1.13s/it]

train:  19%|█▉        | 667/3515 [12:31<53:45,  1.13s/it]
overall:  17%|█▋        | 668/4000 [12:34<1:03:30,  1.14s/it]

train:  19%|█▉        | 668/3515 [12:32<54:15,  1.14s/it]
overall:  17%|█▋        | 669/4000 [12:35<1:00:30,  1.09s/it]

train:  19%|█▉        | 669/3515 [12:33<51:41,  1.09s/it]
overall:  17%|█▋        | 670/4000 [12:36<52:05,  1.07it/s]  

train:  19%|█▉        | 670/3515 [12:34<44:30,  1.07it/s]
overall:  17%|█▋        | 671/4000 [12:37<47:27,  1.17it/s]

train:  19%|█▉        | 671/3515 [12:35<40:32,  1.17it/s]
overall:  17%|█▋        | 672/4000 [12:38<52:07,  1.06it/s]

train:  19%|█▉        | 672/3515 [12:36<44:31,  1.06it/s]
overall:  17%|█▋        | 673/4000 [12:39<1:00:14,  1.09s/it]

train:  19%|█▉        | 673/3515 [12:37<51:27,  1.09s/it]
overall:  17%|█▋        | 674/4000 [12:39<47:04,  1.18it/s]  

train:  19%|█▉        | 674/3515 [12:38<40:12,  1.18it/s]
overall:  17%|█▋        | 675/4000 [12:41<53:21,  1.04it/s]

train:  19%|█▉        | 675/3515 [12:39<45:34,  1.04it/s]
overall:  17%|█▋        | 676/4000 [12:42<57:39,  1.04s/it]

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overall:  17%|█▋        | 677/4000 [12:43<1:01:30,  1.11s/it]

train:  19%|█▉        | 677/3515 [12:41<52:31,  1.11s/it]
overall:  17%|█▋        | 678/4000 [12:44<1:03:20,  1.14s/it]

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overall:  17%|█▋        | 679/4000 [12:46<1:06:19,  1.20s/it]

train:  19%|█▉        | 679/3515 [12:44<56:38,  1.20s/it]
overall:  17%|█▋        | 680/4000 [12:47<1:08:00,  1.23s/it]

train:  19%|█▉        | 680/3515 [12:45<58:04,  1.23s/it]
overall:  17%|█▋        | 681/4000 [12:48<1:09:46,  1.26s/it]

train:  19%|█▉        | 681/3515 [12:46<59:34,  1.26s/it]
overall:  17%|█▋        | 682/4000 [12:50<1:09:28,  1.26s/it]

train:  19%|█▉        | 682/3515 [12:48<59:19,  1.26s/it]
overall:  17%|█▋        | 683/4000 [12:51<1:09:17,  1.25s/it]

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overall:  17%|█▋        | 684/4000 [12:52<1:09:10,  1.25s/it]

train:  19%|█▉        | 684/3515 [12:50<59:03,  1.25s/it]
overall:  17%|█▋        | 685/4000 [12:53<1:07:07,  1.21s/it]

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overall:  17%|█▋        | 686/4000 [12:54<1:04:43,  1.17s/it]

train:  20%|█▉        | 686/3515 [12:52<55:15,  1.17s/it]
overall:  17%|█▋        | 687/4000 [12:55<50:08,  1.10it/s]  

train:  20%|█▉        | 687/3515 [12:53<42:48,  1.10it/s]
overall:  17%|█▋        | 688/4000 [12:56<54:07,  1.02it/s]

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train:  28%|██▊       | 999/3515 [18:47<50:08,  1.20s/it]train loss: 220.1756134033203
train per: 1.1752866431726807
train loss: 129.79727172851562
train per: 0.9540827754411288
train loss: 58.949363708496094
train per: 0.9353463587921848
train loss: 42.40501022338867
train per: 0.932030352952923
train loss: 26.671527862548828
train per: 0.9132538839013139
train loss: 24.4360294342041
train per: 0.9046897205116059
train loss: 25.52326011657715
train per: 0.9215637656004628
train loss: 21.467626571655273
train per: 0.9025787326988656
train loss: 17.9565372467041
train per: 0.9114952499841313
train loss: 16.132877349853516
train per: 0.9073632356753953
train loss: 17.406761169433594
train per: 0.9016370439663237
train loss: 14.925378799438477
train per: 0.9724030852449164
train loss: 14.875066757202148
train per: 0.9626503536213928
train loss: 13.344157218933105
train per: 0.946820457629498
train loss: 12.700836181640625
train per: 0.944999877177037
train loss: 15.254585266113281
train per: 0.9507360520125803
train loss: 17.601238250732422
train per: 0.9253322083948534
train loss: 17.4876708984375
train per: 1.0009098951093138
train loss: 11.34967041015625
train per: 0.9249266113592852
train loss: 9.313364028930664
train per: 0.9146326713273181
train loss: 8.52482795715332
train per: 0.8805411700572391
train loss: 8.754471778869629
train per: 0.9430043427831576
train loss: 10.880871772766113
train per: 1.015571726629688
train loss: 10.494959831237793
train per: 0.9335998390908634
train loss: 12.402181625366211
train per: 0.8501364542878136
train loss: 11.725875854492188
train per: 0.8399513302290755
train loss: 9.568187713623047
train per: 0.8702954604593949
train loss: 10.545158386230469
train per: 0.836107117619825
train loss: 11.059558868408203
train per: 0.8340602495182067
train loss: 8.855001449584961
train per: 0.8334252619966905
train loss: 9.63566780090332
train per: 0.8609888163554476
train loss: 8.776127815246582
train per: 0.8043836437166109
train loss: 9.370841026306152
train per: 0.799411415570284
train loss: 9.287219047546387
train per: 0.7585794960903562
train loss: 9.541666030883789
train per: 0.8026446751030855
train loss: 8.08576774597168
train per: 0.8192472507615262
train loss: 6.94661808013916
train per: 0.7861207673490408
train loss: 11.67639446258545
train per: 0.9328767123287671
train loss: 12.006693840026855
train per: 0.7843571250932604
train loss: 11.919883728027344
train per: 0.8689416783113922
train loss: 13.09765625
train per: 0.8483544120136387
train loss: 15.007542610168457
train per: 0.8768493694767153
train loss: 7.7313361167907715
train per: 0.7558911539180849
train loss: 6.437535762786865
train per: 0.7533281860508645
train loss: 6.5674147605896
train per: 0.7432439012513999
train loss: 9.2045316696167
train per: 0.82373139087141
train loss: 9.507434844970703
train per: 0.8208449176103614
train loss: 8.492226600646973
train per: 0.7568502053761763
train loss: 8.268669128417969
train per: 0.7520876147862959
train loss: 10.847155570983887
train per: 0.8315337335959563
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 480/2703 [00:00<00:00, 4798.79it/s]


word -> phonemes:  39%|███▉      | 1063/2703 [00:00<00:00, 5402.56it/s]


word -> phonemes:  61%|██████    | 1645/2703 [00:00<00:00, 5590.42it/s]


word -> phonemes:  83%|████████▎ | 2231/2703 [00:00<00:00, 5695.09it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5556.25it/s]



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train:  36%|███▌      | 1269/3515 [26:31<45:32,  1.22s/it]
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train:  36%|███▌      | 1273/3515 [26:36<47:02,  1.26s/it]
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train:  37%|███▋      | 1299/3515 [27:05<40:24,  1.09s/it]
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overall:  33%|███▎      | 1301/4000 [27:10<55:31,  1.23s/it]

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train:  37%|███▋      | 1302/3515 [27:09<42:21,  1.15s/it]
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overall:  48%|████▊     | 1920/4000 [38:46<38:08,  1.10s/it]

train:  55%|█████▍    | 1920/3515 [38:45<29:14,  1.10s/it]
overall:  48%|████▊     | 1921/4000 [38:48<39:18,  1.13s/it]

train:  55%|█████▍    | 1921/3515 [38:46<30:08,  1.13s/it]
overall:  48%|████▊     | 1922/4000 [38:49<38:49,  1.12s/it]

train:  55%|█████▍    | 1922/3515 [38:47<29:45,  1.12s/it]
overall:  48%|████▊     | 1923/4000 [38:50<40:26,  1.17s/it]

train:  55%|█████▍    | 1923/3515 [38:48<30:59,  1.17s/it]
overall:  48%|████▊     | 1924/4000 [38:51<40:48,  1.18s/it]

train:  55%|█████▍    | 1924/3515 [38:49<31:16,  1.18s/it]
overall:  48%|████▊     | 1925/4000 [38:53<44:32,  1.29s/it]

train:  55%|█████▍    | 1925/3515 [38:51<34:08,  1.29s/it]
overall:  48%|████▊     | 1926/4000 [38:54<44:12,  1.28s/it]

train:  55%|█████▍    | 1926/3515 [38:52<33:52,  1.28s/it]
overall:  48%|████▊     | 1927/4000 [38:54<34:22,  1.00it/s]

train:  55%|█████▍    | 1927/3515 [38:53<26:20,  1.00it/s]
overall:  48%|████▊     | 1928/4000 [38:56<36:52,  1.07s/it]

train:  55%|█████▍    | 1928/3515 [38:54<28:14,  1.07s/it]
overall:  48%|████▊     | 1929/4000 [38:57<37:56,  1.10s/it]

train:  55%|█████▍    | 1929/3515 [38:55<29:03,  1.10s/it]
overall:  48%|████▊     | 1930/4000 [38:58<39:00,  1.13s/it]

train:  55%|█████▍    | 1930/3515 [38:56<29:52,  1.13s/it]
overall:  48%|████▊     | 1931/4000 [38:59<39:21,  1.14s/it]

train:  55%|█████▍    | 1931/3515 [38:57<30:07,  1.14s/it]
overall:  48%|████▊     | 1932/4000 [39:00<40:38,  1.18s/it]

train:  55%|█████▍    | 1932/3515 [38:59<31:06,  1.18s/it]
overall:  48%|████▊     | 1933/4000 [39:02<39:52,  1.16s/it]

train:  55%|█████▍    | 1933/3515 [39:00<30:31,  1.16s/it]
overall:  48%|████▊     | 1934/4000 [39:03<40:18,  1.17s/it]

train:  55%|█████▌    | 1934/3515 [39:01<30:51,  1.17s/it]
overall:  48%|████▊     | 1935/4000 [39:04<41:29,  1.21s/it]

train:  55%|█████▌    | 1935/3515 [39:02<31:44,  1.21s/it]
overall:  48%|████▊     | 1936/4000 [39:05<41:41,  1.21s/it]

train:  55%|█████▌    | 1936/3515 [39:03<31:53,  1.21s/it]
overall:  48%|████▊     | 1937/4000 [39:06<41:31,  1.21s/it]

train:  55%|█████▌    | 1937/3515 [39:05<31:45,  1.21s/it]
overall:  48%|████▊     | 1938/4000 [39:08<41:38,  1.21s/it]

train:  55%|█████▌    | 1938/3515 [39:06<31:50,  1.21s/it]
overall:  48%|████▊     | 1939/4000 [39:09<41:33,  1.21s/it]

train:  55%|█████▌    | 1939/3515 [39:07<31:46,  1.21s/it]
overall:  48%|████▊     | 1940/4000 [39:10<40:14,  1.17s/it]

train:  55%|█████▌    | 1940/3515 [39:08<30:46,  1.17s/it]
overall:  49%|████▊     | 1941/4000 [39:11<40:14,  1.17s/it]

train:  55%|█████▌    | 1941/3515 [39:09<30:45,  1.17s/it]
overall:  49%|████▊     | 1942/4000 [39:12<40:44,  1.19s/it]

train:  55%|█████▌    | 1942/3515 [39:10<31:08,  1.19s/it]
overall:  49%|████▊     | 1943/4000 [39:14<40:52,  1.19s/it]

train:  55%|█████▌    | 1943/3515 [39:12<31:14,  1.19s/it]
overall:  49%|████▊     | 1944/4000 [39:15<40:13,  1.17s/it]

train:  55%|█████▌    | 1944/3515 [39:13<30:44,  1.17s/it]
overall:  49%|████▊     | 1945/4000 [39:16<40:35,  1.19s/it]

train:  55%|█████▌    | 1945/3515 [39:14<31:00,  1.19s/it]
overall:  49%|████▊     | 1946/4000 [39:17<41:11,  1.20s/it]

train:  55%|█████▌    | 1946/3515 [39:15<31:27,  1.20s/it]
overall:  49%|████▊     | 1947/4000 [39:18<41:32,  1.21s/it]

train:  55%|█████▌    | 1947/3515 [39:17<31:43,  1.21s/it]
overall:  49%|████▊     | 1948/4000 [39:19<38:06,  1.11s/it]

train:  55%|█████▌    | 1948/3515 [39:17<29:06,  1.11s/it]
overall:  49%|████▊     | 1949/4000 [39:21<40:50,  1.19s/it]

train:  55%|█████▌    | 1949/3515 [39:19<31:11,  1.19s/it]
overall:  49%|████▉     | 1950/4000 [39:22<41:37,  1.22s/it]

train:  55%|█████▌    | 1950/3515 [39:20<31:46,  1.22s/it]
overall:  49%|████▉     | 1951/4000 [39:23<42:09,  1.23s/it]

train:  56%|█████▌    | 1951/3515 [39:21<32:10,  1.23s/it]
overall:  49%|████▉     | 1952/4000 [39:24<39:15,  1.15s/it]

train:  56%|█████▌    | 1952/3515 [39:22<29:57,  1.15s/it]
overall:  49%|████▉     | 1953/4000 [39:25<40:55,  1.20s/it]

train:  56%|█████▌    | 1953/3515 [39:24<31:13,  1.20s/it]
overall:  49%|████▉     | 1954/4000 [39:27<41:08,  1.21s/it]

train:  56%|█████▌    | 1954/3515 [39:25<31:23,  1.21s/it]
overall:  49%|████▉     | 1955/4000 [39:28<40:12,  1.18s/it]

train:  56%|█████▌    | 1955/3515 [39:26<30:40,  1.18s/it]
overall:  49%|████▉     | 1956/4000 [39:29<40:04,  1.18s/it]

train:  56%|█████▌    | 1956/3515 [39:27<30:33,  1.18s/it]
overall:  49%|████▉     | 1957/4000 [39:30<40:00,  1.18s/it]

train:  56%|█████▌    | 1957/3515 [39:28<30:30,  1.18s/it]
overall:  49%|████▉     | 1958/4000 [39:31<40:09,  1.18s/it]

train:  56%|█████▌    | 1958/3515 [39:29<30:36,  1.18s/it]
overall:  49%|████▉     | 1959/4000 [39:33<40:30,  1.19s/it]

train:  56%|█████▌    | 1959/3515 [39:31<30:52,  1.19s/it]
overall:  49%|████▉     | 1960/4000 [39:34<41:06,  1.21s/it]

train:  56%|█████▌    | 1960/3515 [39:32<31:19,  1.21s/it]
overall:  49%|████▉     | 1961/4000 [39:35<41:48,  1.23s/it]

train:  56%|█████▌    | 1961/3515 [39:33<31:51,  1.23s/it]
overall:  49%|████▉     | 1962/4000 [39:36<41:47,  1.23s/it]

train:  56%|█████▌    | 1962/3515 [39:34<31:50,  1.23s/it]
overall:  49%|████▉     | 1963/4000 [39:37<40:54,  1.21s/it]

train:  56%|█████▌    | 1963/3515 [39:36<31:10,  1.21s/it]
overall:  49%|████▉     | 1964/4000 [39:39<41:07,  1.21s/it]

train:  56%|█████▌    | 1964/3515 [39:37<31:19,  1.21s/it]
overall:  49%|████▉     | 1965/4000 [39:40<38:20,  1.13s/it]

train:  56%|█████▌    | 1965/3515 [39:38<29:11,  1.13s/it]
overall:  49%|████▉     | 1966/4000 [39:41<39:24,  1.16s/it]

train:  56%|█████▌    | 1966/3515 [39:39<30:00,  1.16s/it]
overall:  49%|████▉     | 1967/4000 [39:42<39:08,  1.16s/it]

train:  56%|█████▌    | 1967/3515 [39:40<29:48,  1.16s/it]
overall:  49%|████▉     | 1968/4000 [39:43<32:36,  1.04it/s]

train:  56%|█████▌    | 1968/3515 [39:41<24:49,  1.04it/s]
overall:  49%|████▉     | 1969/4000 [39:44<34:37,  1.02s/it]

train:  56%|█████▌    | 1969/3515 [39:42<26:21,  1.02s/it]
overall:  49%|████▉     | 1970/4000 [39:45<36:40,  1.08s/it]

train:  56%|█████▌    | 1970/3515 [39:43<27:54,  1.08s/it]
overall:  49%|████▉     | 1971/4000 [39:46<37:38,  1.11s/it]

train:  56%|█████▌    | 1971/3515 [39:44<28:38,  1.11s/it]
overall:  49%|████▉     | 1972/4000 [39:47<38:42,  1.15s/it]

train:  56%|█████▌    | 1972/3515 [39:45<29:26,  1.15s/it]
overall:  49%|████▉     | 1973/4000 [39:49<42:26,  1.26s/it]

train:  56%|█████▌    | 1973/3515 [39:47<32:16,  1.26s/it]
overall:  49%|████▉     | 1974/4000 [39:50<41:56,  1.24s/it]

train:  56%|█████▌    | 1974/3515 [39:48<31:54,  1.24s/it]
overall:  49%|████▉     | 1975/4000 [39:51<34:16,  1.02s/it]

train:  56%|█████▌    | 1975/3515 [39:49<26:03,  1.02s/it]
overall:  49%|████▉     | 1976/4000 [39:52<36:20,  1.08s/it]

train:  56%|█████▌    | 1976/3515 [39:50<27:38,  1.08s/it]
overall:  49%|████▉     | 1977/4000 [39:53<38:12,  1.13s/it]

train:  56%|█████▌    | 1977/3515 [39:51<29:02,  1.13s/it]
overall:  49%|████▉     | 1978/4000 [39:54<38:25,  1.14s/it]

train:  56%|█████▋    | 1978/3515 [39:52<29:12,  1.14s/it]
overall:  49%|████▉     | 1979/4000 [39:55<39:08,  1.16s/it]

train:  56%|█████▋    | 1979/3515 [39:54<29:44,  1.16s/it]
overall:  50%|████▉     | 1980/4000 [39:57<39:39,  1.18s/it]

train:  56%|█████▋    | 1980/3515 [39:55<30:08,  1.18s/it]
overall:  50%|████▉     | 1981/4000 [39:58<38:31,  1.14s/it]

train:  56%|█████▋    | 1981/3515 [39:56<29:16,  1.14s/it]
overall:  50%|████▉     | 1982/4000 [39:59<39:18,  1.17s/it]

train:  56%|█████▋    | 1982/3515 [39:57<29:52,  1.17s/it]
overall:  50%|████▉     | 1983/4000 [40:00<40:28,  1.20s/it]

train:  56%|█████▋    | 1983/3515 [39:58<30:44,  1.20s/it]
overall:  50%|████▉     | 1984/4000 [40:01<41:06,  1.22s/it]

train:  56%|█████▋    | 1984/3515 [40:00<31:13,  1.22s/it]
overall:  50%|████▉     | 1985/4000 [40:03<41:05,  1.22s/it]

train:  56%|█████▋    | 1985/3515 [40:01<31:11,  1.22s/it]
overall:  50%|████▉     | 1986/4000 [40:04<41:01,  1.22s/it]

train:  57%|█████▋    | 1986/3515 [40:02<31:08,  1.22s/it]
overall:  50%|████▉     | 1987/4000 [40:05<40:54,  1.22s/it]

train:  57%|█████▋    | 1987/3515 [40:03<31:03,  1.22s/it]
overall:  50%|████▉     | 1988/4000 [40:06<39:59,  1.19s/it]

train:  57%|█████▋    | 1988/3515 [40:04<30:21,  1.19s/it]
overall:  50%|████▉     | 1989/4000 [40:07<39:57,  1.19s/it]

train:  57%|█████▋    | 1989/3515 [40:06<30:19,  1.19s/it]
overall:  50%|████▉     | 1990/4000 [40:09<39:46,  1.19s/it]

train:  57%|█████▋    | 1990/3515 [40:07<30:10,  1.19s/it]
overall:  50%|████▉     | 1991/4000 [40:10<39:55,  1.19s/it]

train:  57%|█████▋    | 1991/3515 [40:08<30:16,  1.19s/it]
overall:  50%|████▉     | 1992/4000 [40:11<40:20,  1.21s/it]

train:  57%|█████▋    | 1992/3515 [40:09<30:35,  1.21s/it]
overall:  50%|████▉     | 1993/4000 [40:12<41:00,  1.23s/it]

train:  57%|█████▋    | 1993/3515 [40:10<31:05,  1.23s/it]
overall:  50%|████▉     | 1994/4000 [40:13<38:59,  1.17s/it]

train:  57%|█████▋    | 1994/3515 [40:11<29:34,  1.17s/it]
overall:  50%|████▉     | 1995/4000 [40:14<38:48,  1.16s/it]

train:  57%|█████▋    | 1995/3515 [40:13<29:25,  1.16s/it]
overall:  50%|████▉     | 1996/4000 [40:16<39:03,  1.17s/it]

train:  57%|█████▋    | 1996/3515 [40:14<29:36,  1.17s/it]
overall:  50%|████▉     | 1997/4000 [40:17<42:32,  1.27s/it]

train:  57%|█████▋    | 1997/3515 [40:15<32:14,  1.27s/it]
overall:  50%|████▉     | 1998/4000 [40:18<42:07,  1.26s/it]

train:  57%|█████▋    | 1998/3515 [40:17<31:55,  1.26s/it]
overall:  50%|████▉     | 1999/4000 [40:20<41:51,  1.26s/it]

train:  57%|█████▋    | 1999/3515 [40:18<31:42,  1.26s/it]dev loss: 11.498961448669434
dev per: 0.7689229968782518
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 10.80681037902832
train per: 0.7766908212560386
train loss: 7.416118621826172
train per: 0.7175609875455724
train loss: 8.944101333618164
train per: 0.7588020833333333
train loss: 6.784093379974365
train per: 0.7152304944748298
train loss: 6.922916412353516
train per: 0.7651811122365312
train loss: 6.62114953994751
train per: 0.7433215641862634
train loss: 8.085381507873535
train per: 0.7627846486062034
train loss: 9.18223762512207
train per: 0.7582134706225784
train loss: 10.19105052947998
train per: 0.8020376045721859
train loss: 8.410422325134277
train per: 0.7834341352282281
train loss: 7.309098243713379
train per: 0.7531666709488452
train loss: 9.58284854888916
train per: 0.7740677844483245
train loss: 8.358797073364258
train per: 0.7461505762327603
train loss: 6.463223934173584
train per: 0.7035311073744895
train loss: 5.872518062591553
train per: 0.691985997227639
train loss: 17.475236892700195
train per: 0.9791924186238155
train loss: 11.95618724822998
train per: 0.8837456027695572
train loss: 15.492149353027344
train per: 0.8650072168342154
train loss: 10.810070991516113
train per: 0.7471621586030709
train loss: 8.081628799438477
train per: 0.7841709269798399
train loss: 6.926567077636719
train per: 0.7883961496096931
train loss: 5.821329593658447
train per: 0.7067413340894592
train loss: 5.242710590362549
train per: 0.6988052430112516
train loss: 4.970348834991455
train per: 0.7056852765913916
train loss: 6.492578029632568
train per: 0.7482370991060101
train loss: 6.927713871002197
train per: 0.7387766823011391
train loss: 8.903449058532715
train per: 0.8308641975308642
train loss: 8.789632797241211
train per: 0.7977830283531068
train loss: 15.596227645874023
train per: 0.830821506171698
train loss: 15.626032829284668
train per: 0.8561050216670915
train loss: 15.445088386535645
train per: 0.8053648411304487
train loss: 9.08837890625
train per: 0.7471935339021104
train loss: 8.107314109802246
train per: 0.7593823354732883
train loss: 8.085577964782715
train per: 0.7291040423527301
train loss: 7.343827247619629
train per: 0.7090961024122978
train loss: 5.813052177429199
train per: 0.6745344358024389
train loss: 8.165736198425293
train per: 0.7494353472614342
train loss: 6.280449867248535
train per: 0.6783832605750414
train loss: 7.2575507164001465
train per: 0.7253403622469954
train loss: 7.909088134765625
train per: 0.7287211531280341
train loss: 6.168766498565674
train per: 0.6839740266153125
train loss: 9.023117065429688
train per: 0.7829002092102941
train loss: 13.346689224243164
train per: 0.8676558903012711
train loss: 12.061063766479492
train per: 0.7334466431953381
train loss: 8.772438049316406
train per: 0.7684536133908748
train loss: 10.0697603225708
train per: 0.7709773462783172
train loss: 10.30579948425293
train per: 0.7547329754167844
train loss: 7.069029331207275
train per: 0.6742094300321909
train loss: 8.012235641479492
train per: 0.7763003324252044
train loss: 7.2381439208984375
train per: 0.7323528745269551
[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, 4707.60it/s]


word -> phonemes:  35%|███▌      | 959/2703 [00:00<00:00, 4808.41it/s]


word -> phonemes:  56%|█████▋    | 1522/2703 [00:00<00:00, 5178.99it/s]


word -> phonemes:  78%|███████▊  | 2111/2703 [00:00<00:00, 5458.89it/s]


word -> phonemes:  98%|█████████▊| 2657/2703 [00:00<00:00, 5422.95it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5287.44it/s]



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


dev:   0%|          | 1/2703 [00:01<55:45,  1.24s/it]


dev:   0%|          | 2/2703 [00:01<28:47,  1.56it/s]


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dev:   0%|          | 9/2703 [00:02<10:17,  4.36it/s]


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dev:   0%|          | 11/2703 [00:03<09:01,  4.97it/s]


dev:   0%|          | 12/2703 [00:03<09:14,  4.86it/s]


dev:   0%|          | 13/2703 [00:03<08:41,  5.16it/s]


dev:   1%|          | 14/2703 [00:03<08:13,  5.45it/s]


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dev:   1%|          | 16/2703 [00:04<07:43,  5.80it/s]


dev:   1%|          | 17/2703 [00:04<07:43,  5.79it/s]


dev:   1%|          | 18/2703 [00:04<07:52,  5.69it/s]


dev:   1%|          | 19/2703 [00:04<08:03,  5.55it/s]


dev:   1%|          | 20/2703 [00:04<07:45,  5.77it/s]


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dev: 100%|██████████| 2703/2703 [02:45<00:00, 16.30it/s]

                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [43:09<41:51,  1.26s/it]

train:  57%|█████▋    | 1999/3515 [43:07<31:42,  1.26s/it]
                                                            

                                                          

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overall:  50%|█████     | 2007/4000 [43:17<2:57:33,  5.35s/it]

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overall:  50%|█████     | 2008/4000 [43:18<2:13:37,  4.02s/it]

train:  57%|█████▋    | 2008/3515 [43:16<1:41:05,  4.02s/it]
overall:  50%|█████     | 2009/4000 [43:19<1:43:57,  3.13s/it]

train:  57%|█████▋    | 2009/3515 [43:17<1:18:37,  3.13s/it]
overall:  50%|█████     | 2010/4000 [43:20<1:25:25,  2.58s/it]

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overall:  50%|█████     | 2011/4000 [43:21<1:12:20,  2.18s/it]

train:  57%|█████▋    | 2011/3515 [43:19<54:41,  2.18s/it]  
overall:  50%|█████     | 2012/4000 [43:23<1:03:07,  1.91s/it]

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overall:  50%|█████     | 2015/4000 [43:26<44:35,  1.35s/it]

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overall:  50%|█████     | 2016/4000 [43:26<39:53,  1.21s/it]

train:  57%|█████▋    | 2016/3515 [43:25<30:08,  1.21s/it]
overall:  50%|█████     | 2017/4000 [43:28<40:28,  1.22s/it]

train:  57%|█████▋    | 2017/3515 [43:26<30:34,  1.22s/it]
overall:  50%|█████     | 2018/4000 [43:29<40:29,  1.23s/it]

train:  57%|█████▋    | 2018/3515 [43:27<30:35,  1.23s/it]
overall:  50%|█████     | 2019/4000 [43:30<40:19,  1.22s/it]

train:  57%|█████▋    | 2019/3515 [43:28<30:27,  1.22s/it]
overall:  50%|█████     | 2020/4000 [43:31<40:22,  1.22s/it]

train:  57%|█████▋    | 2020/3515 [43:29<30:29,  1.22s/it]
overall:  51%|█████     | 2021/4000 [43:33<42:24,  1.29s/it]

train:  57%|█████▋    | 2021/3515 [43:31<32:00,  1.29s/it]
overall:  51%|█████     | 2022/4000 [43:34<40:54,  1.24s/it]

train:  58%|█████▊    | 2022/3515 [43:32<30:52,  1.24s/it]
overall:  51%|█████     | 2023/4000 [43:35<40:40,  1.23s/it]

train:  58%|█████▊    | 2023/3515 [43:33<30:41,  1.23s/it]
overall:  51%|█████     | 2024/4000 [43:36<40:30,  1.23s/it]

train:  58%|█████▊    | 2024/3515 [43:34<30:34,  1.23s/it]
overall:  51%|█████     | 2025/4000 [43:38<40:35,  1.23s/it]

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overall:  51%|█████     | 2026/4000 [43:39<40:52,  1.24s/it]

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overall:  51%|█████     | 2027/4000 [43:40<35:48,  1.09s/it]

train:  58%|█████▊    | 2027/3515 [43:38<27:00,  1.09s/it]
overall:  51%|█████     | 2028/4000 [43:40<34:03,  1.04s/it]

train:  58%|█████▊    | 2028/3515 [43:39<25:40,  1.04s/it]
overall:  51%|█████     | 2029/4000 [43:42<34:41,  1.06s/it]

train:  58%|█████▊    | 2029/3515 [43:40<26:09,  1.06s/it]
overall:  51%|█████     | 2030/4000 [43:43<36:06,  1.10s/it]

train:  58%|█████▊    | 2030/3515 [43:41<27:12,  1.10s/it]
overall:  51%|█████     | 2031/4000 [43:44<32:50,  1.00s/it]

train:  58%|█████▊    | 2031/3515 [43:42<24:45,  1.00s/it]
overall:  51%|█████     | 2032/4000 [43:45<35:01,  1.07s/it]

train:  58%|█████▊    | 2032/3515 [43:43<26:23,  1.07s/it]
overall:  51%|█████     | 2033/4000 [43:46<34:52,  1.06s/it]

train:  58%|█████▊    | 2033/3515 [43:44<26:16,  1.06s/it]
overall:  51%|█████     | 2034/4000 [43:47<36:43,  1.12s/it]

train:  58%|█████▊    | 2034/3515 [43:45<27:39,  1.12s/it]
overall:  51%|█████     | 2035/4000 [43:48<37:04,  1.13s/it]

train:  58%|█████▊    | 2035/3515 [43:46<27:55,  1.13s/it]
overall:  51%|█████     | 2036/4000 [43:49<37:40,  1.15s/it]

train:  58%|█████▊    | 2036/3515 [43:48<28:22,  1.15s/it]
overall:  51%|█████     | 2037/4000 [43:51<37:09,  1.14s/it]

train:  58%|█████▊    | 2037/3515 [43:49<27:58,  1.14s/it]
overall:  51%|█████     | 2038/4000 [43:52<37:55,  1.16s/it]

train:  58%|█████▊    | 2038/3515 [43:50<28:32,  1.16s/it]
overall:  51%|█████     | 2039/4000 [43:53<38:55,  1.19s/it]

train:  58%|█████▊    | 2039/3515 [43:51<29:18,  1.19s/it]
overall:  51%|█████     | 2040/4000 [43:54<39:06,  1.20s/it]

train:  58%|█████▊    | 2040/3515 [43:52<29:26,  1.20s/it]
overall:  51%|█████     | 2041/4000 [43:55<39:04,  1.20s/it]

train:  58%|█████▊    | 2041/3515 [43:54<29:23,  1.20s/it]
overall:  51%|█████     | 2042/4000 [43:57<38:39,  1.18s/it]

train:  58%|█████▊    | 2042/3515 [43:55<29:04,  1.18s/it]
overall:  51%|█████     | 2043/4000 [43:58<38:56,  1.19s/it]

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overall:  51%|█████     | 2044/4000 [43:59<39:42,  1.22s/it]

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overall:  51%|█████     | 2045/4000 [44:00<40:33,  1.24s/it]

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overall:  51%|█████     | 2046/4000 [44:02<40:15,  1.24s/it]

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overall:  51%|█████     | 2047/4000 [44:03<40:32,  1.25s/it]

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overall:  51%|█████     | 2048/4000 [44:04<37:52,  1.16s/it]

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overall:  51%|█████     | 2049/4000 [44:05<38:43,  1.19s/it]

train:  58%|█████▊    | 2049/3515 [44:03<29:06,  1.19s/it]
overall:  51%|█████▏    | 2050/4000 [44:06<39:06,  1.20s/it]

train:  58%|█████▊    | 2050/3515 [44:04<29:22,  1.20s/it]
overall:  51%|█████▏    | 2051/4000 [44:08<39:13,  1.21s/it]

train:  58%|█████▊    | 2051/3515 [44:06<29:27,  1.21s/it]
overall:  51%|█████▏    | 2052/4000 [44:09<38:14,  1.18s/it]

train:  58%|█████▊    | 2052/3515 [44:07<28:42,  1.18s/it]
overall:  51%|█████▏    | 2053/4000 [44:10<37:25,  1.15s/it]

train:  58%|█████▊    | 2053/3515 [44:08<28:05,  1.15s/it]
overall:  51%|█████▏    | 2054/4000 [44:10<31:34,  1.03it/s]

train:  58%|█████▊    | 2054/3515 [44:08<23:42,  1.03it/s]
overall:  51%|█████▏    | 2055/4000 [44:11<32:34,  1.00s/it]

train:  58%|█████▊    | 2055/3515 [44:10<24:27,  1.00s/it]
overall:  51%|█████▏    | 2056/4000 [44:13<34:08,  1.05s/it]

train:  58%|█████▊    | 2056/3515 [44:11<25:37,  1.05s/it]
overall:  51%|█████▏    | 2057/4000 [44:14<35:41,  1.10s/it]

train:  59%|█████▊    | 2057/3515 [44:12<26:47,  1.10s/it]
overall:  51%|█████▏    | 2058/4000 [44:15<36:49,  1.14s/it]

train:  59%|█████▊    | 2058/3515 [44:13<27:37,  1.14s/it]
overall:  51%|█████▏    | 2059/4000 [44:16<38:08,  1.18s/it]

train:  59%|█████▊    | 2059/3515 [44:14<28:36,  1.18s/it]
overall:  52%|█████▏    | 2060/4000 [44:17<38:32,  1.19s/it]

train:  59%|█████▊    | 2060/3515 [44:16<28:54,  1.19s/it]
overall:  52%|█████▏    | 2061/4000 [44:18<35:25,  1.10s/it]

train:  59%|█████▊    | 2061/3515 [44:16<26:33,  1.10s/it]
overall:  52%|█████▏    | 2062/4000 [44:20<37:09,  1.15s/it]

train:  59%|█████▊    | 2062/3515 [44:18<27:51,  1.15s/it]
overall:  52%|█████▏    | 2063/4000 [44:21<35:40,  1.11s/it]

train:  59%|█████▊    | 2063/3515 [44:19<26:44,  1.11s/it]
overall:  52%|█████▏    | 2064/4000 [44:21<29:07,  1.11it/s]

train:  59%|█████▊    | 2064/3515 [44:19<21:49,  1.11it/s]
overall:  52%|█████▏    | 2065/4000 [44:22<32:39,  1.01s/it]

train:  59%|█████▊    | 2065/3515 [44:20<24:28,  1.01s/it]
overall:  52%|█████▏    | 2066/4000 [44:23<31:53,  1.01it/s]

train:  59%|█████▉    | 2066/3515 [44:21<23:53,  1.01it/s]
overall:  52%|█████▏    | 2067/4000 [44:24<34:03,  1.06s/it]

train:  59%|█████▉    | 2067/3515 [44:23<25:31,  1.06s/it]
overall:  52%|█████▏    | 2068/4000 [44:26<34:41,  1.08s/it]

train:  59%|█████▉    | 2068/3515 [44:24<25:58,  1.08s/it]
overall:  52%|█████▏    | 2069/4000 [44:27<41:04,  1.28s/it]

train:  59%|█████▉    | 2069/3515 [44:25<30:45,  1.28s/it]
overall:  52%|█████▏    | 2070/4000 [44:29<40:29,  1.26s/it]

train:  59%|█████▉    | 2070/3515 [44:27<30:19,  1.26s/it]
overall:  52%|█████▏    | 2071/4000 [44:30<40:31,  1.26s/it]

train:  59%|█████▉    | 2071/3515 [44:28<30:20,  1.26s/it]
overall:  52%|█████▏    | 2072/4000 [44:31<37:10,  1.16s/it]

train:  59%|█████▉    | 2072/3515 [44:29<27:49,  1.16s/it]
overall:  52%|█████▏    | 2073/4000 [44:32<38:25,  1.20s/it]

train:  59%|█████▉    | 2073/3515 [44:30<28:45,  1.20s/it]
overall:  52%|█████▏    | 2074/4000 [44:33<38:42,  1.21s/it]

train:  59%|█████▉    | 2074/3515 [44:31<28:57,  1.21s/it]
overall:  52%|█████▏    | 2075/4000 [44:34<36:12,  1.13s/it]

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overall:  52%|█████▏    | 2076/4000 [44:36<37:52,  1.18s/it]

train:  59%|█████▉    | 2076/3515 [44:34<28:19,  1.18s/it]
overall:  52%|█████▏    | 2077/4000 [44:37<37:33,  1.17s/it]

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overall:  52%|█████▏    | 2078/4000 [44:38<37:35,  1.17s/it]

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overall:  52%|█████▏    | 2079/4000 [44:39<37:00,  1.16s/it]

train:  59%|█████▉    | 2079/3515 [44:37<27:39,  1.16s/it]
overall:  52%|█████▏    | 2080/4000 [44:40<37:30,  1.17s/it]

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overall:  52%|█████▏    | 2081/4000 [44:41<37:31,  1.17s/it]

train:  59%|█████▉    | 2081/3515 [44:39<28:02,  1.17s/it]
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overall:  52%|█████▏    | 2084/4000 [44:45<38:16,  1.20s/it]

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overall:  52%|█████▏    | 2085/4000 [44:46<39:01,  1.22s/it]

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overall:  52%|█████▏    | 2086/4000 [44:47<37:29,  1.18s/it]

train:  59%|█████▉    | 2086/3515 [44:45<27:59,  1.18s/it]
overall:  52%|█████▏    | 2087/4000 [44:49<37:42,  1.18s/it]

train:  59%|█████▉    | 2087/3515 [44:47<28:09,  1.18s/it]
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overall:  52%|█████▏    | 2093/4000 [44:55<33:55,  1.07s/it]

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train:  85%|████████▍ | 2977/3515 [1:01:21<09:16,  1.03s/it]
overall:  74%|███████▍  | 2978/4000 [1:01:24<18:13,  1.07s/it]

train:  85%|████████▍ | 2978/3515 [1:01:22<09:34,  1.07s/it]
overall:  74%|███████▍  | 2979/4000 [1:01:24<15:32,  1.10it/s]

train:  85%|████████▍ | 2979/3515 [1:01:23<08:09,  1.10it/s]
overall:  74%|███████▍  | 2980/4000 [1:01:25<14:19,  1.19it/s]

train:  85%|████████▍ | 2980/3515 [1:01:23<07:31,  1.19it/s]
overall:  75%|███████▍  | 2981/4000 [1:01:27<17:04,  1.01s/it]

train:  85%|████████▍ | 2981/3515 [1:01:25<08:57,  1.01s/it]
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train:  85%|████████▍ | 2982/3515 [1:01:26<09:09,  1.03s/it]
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train:  85%|████████▌ | 2994/3515 [1:01:39<08:48,  1.01s/it]
overall:  75%|███████▍  | 2995/4000 [1:01:42<17:55,  1.07s/it]

train:  85%|████████▌ | 2995/3515 [1:01:40<09:16,  1.07s/it]
overall:  75%|███████▍  | 2996/4000 [1:01:43<18:58,  1.13s/it]

train:  85%|████████▌ | 2996/3515 [1:01:41<09:48,  1.13s/it]
overall:  75%|███████▍  | 2997/4000 [1:01:45<19:15,  1.15s/it]

train:  85%|████████▌ | 2997/3515 [1:01:43<09:56,  1.15s/it]
overall:  75%|███████▍  | 2998/4000 [1:01:46<19:38,  1.18s/it]

train:  85%|████████▌ | 2998/3515 [1:01:44<10:08,  1.18s/it]
overall:  75%|███████▍  | 2999/4000 [1:01:47<18:29,  1.11s/it]

train:  85%|████████▌ | 2999/3515 [1:01:45<09:32,  1.11s/it]dev loss: 7.340108871459961
dev per: 0.676420395421436
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.158694267272949
train per: 0.7251695646812184
train loss: 5.773368835449219
train per: 0.6805198619575593
train loss: 5.451975345611572
train per: 0.6699312507538294
train loss: 10.048478126525879
train per: 0.8422380303718279
train loss: 6.738275051116943
train per: 0.6937280332656799
train loss: 10.085381507873535
train per: 0.7758928326333415
train loss: 19.54227066040039
train per: 0.9209556112667748
train loss: 12.085147857666016
train per: 0.7313924809257082
train loss: 7.681798458099365
train per: 0.6860440214158239
train loss: 7.467097282409668
train per: 0.7106205639122224
train loss: 8.221563339233398
train per: 0.7494088157396898
train loss: 10.124276161193848
train per: 0.7819259348395055
train loss: 10.227798461914062
train per: 0.80098458155284
train loss: 8.30533218383789
train per: 0.7319023773639943
train loss: 7.460350036621094
train per: 0.698591138039273
train loss: 6.592337608337402
train per: 0.687184760785466
train loss: 6.288358211517334
train per: 0.7113687359760659
train loss: 9.785612106323242
train per: 0.817709958306152
train loss: 8.558857917785645
train per: 0.7120029303358439
train loss: 9.22046947479248
train per: 0.7362881320518178
train loss: 8.094972610473633
train per: 0.723727004146081
train loss: 6.821905612945557
train per: 0.696078431372549
train loss: 9.6415376663208
train per: 0.8311731551285405
train loss: 7.464990139007568
train per: 0.6915337361276133
train loss: 8.261201858520508
train per: 0.7211622107521893
train loss: 9.067212104797363
train per: 0.7434464869179158
train loss: 8.702825546264648
train per: 0.749500669987106
train loss: 8.488444328308105
train per: 0.7387552236591578
train loss: 7.599457740783691
train per: 0.6832376417868646
train loss: 8.734550476074219
train per: 0.7592460619762613
train loss: 16.947376251220703
train per: 0.8550532544378698
train loss: 9.23999309539795
train per: 0.6870211102423769
train loss: 6.79202127456665
train per: 0.6903668592307313
train loss: 6.3760271072387695
train per: 0.7089930406972816
train loss: 6.722981929779053
train per: 0.687104102632634
train loss: 6.942455291748047
train per: 0.7401254086499812
train loss: 6.177341461181641
train per: 0.6996294228133407
train loss: 8.666746139526367
train per: 0.7485184701736066
train loss: 6.67312479019165
train per: 0.6837982226331741
train loss: 5.78670597076416
train per: 0.693132839362681
train loss: 9.114527702331543
train per: 0.7987612397168548
train loss: 13.883308410644531
train per: 0.8655800774649718
train loss: 9.230342864990234
train per: 0.70726479171509
train loss: 10.858915328979492
train per: 0.7291083809755504
train loss: 10.324662208557129
train per: 0.7505754120479378
train loss: 7.8185930252075195
train per: 0.6901254773595199
train loss: 8.743571281433105
train per: 0.7510074768723862
train loss: 6.547125339508057
train per: 0.6639793306380231
train loss: 7.393621921539307
train per: 0.7147851614625034
train loss: 11.317754745483398
train per: 0.8364620767921317
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|██        | 545/2703 [00:00<00:00, 5442.58it/s]


word -> phonemes:  42%|████▏     | 1131/2703 [00:00<00:00, 5685.88it/s]


word -> phonemes:  63%|██████▎   | 1700/2703 [00:00<00:00, 5522.44it/s]


word -> phonemes:  85%|████████▍ | 2294/2703 [00:00<00:00, 5683.69it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5649.74it/s]



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overall:  80%|███████▉  | 3194/4000 [1:08:18<16:05,  1.20s/it]

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overall:  80%|███████▉  | 3196/4000 [1:08:21<15:42,  1.17s/it]

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overall:  80%|████████  | 3204/4000 [1:08:31<16:43,  1.26s/it]

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overall:  80%|████████  | 3207/4000 [1:08:34<13:20,  1.01s/it]

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overall:  80%|████████  | 3208/4000 [1:08:34<11:52,  1.11it/s]

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overall:  80%|████████  | 3209/4000 [1:08:36<12:49,  1.03it/s]

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overall:  80%|████████  | 3210/4000 [1:08:37<13:11,  1.00s/it]

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overall:  80%|████████  | 3211/4000 [1:08:38<13:59,  1.06s/it]

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overall:  80%|████████  | 3212/4000 [1:08:38<11:29,  1.14it/s]

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overall:  80%|████████  | 3213/4000 [1:08:39<09:32,  1.38it/s]

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overall:  80%|████████  | 3214/4000 [1:08:40<10:52,  1.21it/s]

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overall:  80%|████████  | 3215/4000 [1:08:41<12:37,  1.04it/s]

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overall:  80%|████████  | 3216/4000 [1:08:42<13:13,  1.01s/it]

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overall:  80%|████████  | 3217/4000 [1:08:43<14:15,  1.09s/it]

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overall:  80%|████████  | 3218/4000 [1:08:45<14:32,  1.12s/it]

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overall:  80%|████████  | 3219/4000 [1:08:46<14:43,  1.13s/it]

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overall:  81%|████████  | 3224/4000 [1:08:52<16:14,  1.26s/it]

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overall:  81%|████████  | 3225/4000 [1:08:53<16:15,  1.26s/it]

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overall:  81%|████████  | 3226/4000 [1:08:55<16:16,  1.26s/it]

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overall:  81%|████████  | 3227/4000 [1:08:56<16:02,  1.24s/it]

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overall:  81%|████████  | 3228/4000 [1:08:57<15:48,  1.23s/it]

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overall:  81%|████████  | 3229/4000 [1:08:58<15:48,  1.23s/it]

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overall:  81%|████████  | 3230/4000 [1:08:59<13:08,  1.02s/it]

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overall:  81%|████████  | 3231/4000 [1:09:00<14:10,  1.11s/it]

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overall:  81%|████████  | 3232/4000 [1:09:01<14:36,  1.14s/it]

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overall:  81%|████████  | 3233/4000 [1:09:02<14:33,  1.14s/it]

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train: 100%|██████████| 3515/3515 [1:14:19<00:00,  1.15s/it]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [1:14:19<00:00,  1.27s/it]
dev loss: 17.97477912902832
dev per: 0.8840530697190426
train loss: 8.907625198364258
train per: 0.6924721582632395
train loss: 7.752367973327637
train per: 0.7159373387739787
train loss: 5.926111221313477
train per: 0.6842937746405723
train loss: 7.255712032318115
train per: 0.7229885914547759
train loss: 9.532712936401367
train per: 0.7326732673267327
train loss: 13.352006912231445
train per: 0.738733524506064
train loss: 16.008567810058594
train per: 0.8093954666738539
train loss: 10.333481788635254
train per: 0.7073523736009263
train loss: 7.485468864440918
train per: 0.7350527251937492
train loss: 7.345772743225098
train per: 0.702632652571456
train loss: 10.67532730102539
train per: 0.8376935818894118
train loss: 10.34843635559082
train per: 0.7678934670514216
train loss: 7.719612121582031
train per: 0.6847442571985491
train loss: 5.7273759841918945
train per: 0.7063442362348861
train loss: 6.465232849121094
train per: 0.6939484721390053
train loss: 6.680727958679199
train per: 0.7048391566113308
train loss: 8.240882873535156
train per: 0.7828908420237716
train loss: 8.231767654418945
train per: 0.7205679692883158
train loss: 8.316049575805664
train per: 0.7419073705179283
train loss: 8.16429328918457
train per: 0.6800465386852821
train loss: 9.783121109008789
train per: 0.7322357939458312
train loss: 11.528534889221191
train per: 0.7429865458905022
train loss: 15.721776962280273
train per: 0.7706102983183885
train loss: 9.370759963989258
train per: 0.6652627145414342
train loss: 8.145830154418945
train per: 0.6915501098138943
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 453/3515 [00:00<00:00, 4521.49it/s]

word -> phonemes:  27%|██▋       | 950/3515 [00:00<00:00, 4781.08it/s]

word -> phonemes:  41%|████      | 1439/3515 [00:00<00:00, 4827.68it/s]

word -> phonemes:  55%|█████▍    | 1922/3515 [00:00<00:00, 4546.94it/s]

word -> phonemes:  68%|██████▊   | 2397/3515 [00:00<00:00, 4616.68it/s]

word -> phonemes:  81%|████████▏ | 2861/3515 [00:00<00:00, 4462.26it/s]

word -> phonemes:  94%|█████████▍| 3310/3515 [00:00<00:00, 4280.16it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4461.08it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3520/4000 [1:14:31<11:54,  1.49s/it]

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overall:  88%|████████▊ | 3524/4000 [1:14:35<08:50,  1.11s/it]

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overall:  88%|████████▊ | 3527/4000 [1:14:38<09:05,  1.15s/it]

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overall:  88%|████████▊ | 3528/4000 [1:14:39<09:14,  1.18s/it]

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overall:  88%|████████▊ | 3529/4000 [1:14:41<09:09,  1.17s/it]

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overall:  88%|████████▊ | 3530/4000 [1:14:42<09:18,  1.19s/it]

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overall:  88%|████████▊ | 3531/4000 [1:14:43<09:19,  1.19s/it]

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overall:  88%|████████▊ | 3532/4000 [1:14:44<09:29,  1.22s/it]

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overall:  88%|████████▊ | 3533/4000 [1:14:45<09:21,  1.20s/it]

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overall:  88%|████████▊ | 3534/4000 [1:14:47<09:22,  1.21s/it]

train:   1%|          | 19/3515 [00:23<1:10:18,  1.21s/it]
overall:  88%|████████▊ | 3535/4000 [1:14:48<09:31,  1.23s/it]

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overall:  88%|████████▊ | 3536/4000 [1:14:49<09:36,  1.24s/it]

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overall:  88%|████████▊ | 3537/4000 [1:14:50<09:38,  1.25s/it]

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overall:  88%|████████▊ | 3540/4000 [1:14:54<09:42,  1.27s/it]

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overall:  89%|████████▊ | 3541/4000 [1:14:55<09:30,  1.24s/it]

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overall:  89%|████████▊ | 3542/4000 [1:14:57<09:16,  1.22s/it]

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overall:  89%|████████▊ | 3543/4000 [1:14:58<09:14,  1.21s/it]

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overall:  89%|████████▊ | 3544/4000 [1:14:59<09:04,  1.20s/it]

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overall:  89%|████████▊ | 3545/4000 [1:15:00<09:13,  1.22s/it]

train:   1%|          | 30/3515 [00:37<1:10:38,  1.22s/it]
overall:  89%|████████▊ | 3546/4000 [1:15:01<09:01,  1.19s/it]

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overall:  89%|████████▊ | 3547/4000 [1:15:02<07:15,  1.04it/s]

train:   1%|          | 32/3515 [00:38<55:47,  1.04it/s]  
overall:  89%|████████▊ | 3548/4000 [1:15:03<07:57,  1.06s/it]

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overall:  89%|████████▊ | 3549/4000 [1:15:04<08:24,  1.12s/it]

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overall:  89%|████████▉ | 3550/4000 [1:15:06<08:34,  1.14s/it]

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overall:  89%|████████▉ | 3551/4000 [1:15:07<08:36,  1.15s/it]

train:   1%|          | 36/3515 [00:43<1:06:42,  1.15s/it]
overall:  89%|████████▉ | 3552/4000 [1:15:08<08:48,  1.18s/it]

train:   1%|          | 37/3515 [00:45<1:08:19,  1.18s/it]
overall:  89%|████████▉ | 3553/4000 [1:15:09<08:45,  1.18s/it]

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overall:  89%|████████▉ | 3554/4000 [1:15:10<09:06,  1.22s/it]

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overall:  89%|████████▉ | 3555/4000 [1:15:12<09:04,  1.22s/it]

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overall:  89%|████████▉ | 3556/4000 [1:15:13<09:11,  1.24s/it]

train:   1%|          | 41/3515 [00:50<1:11:58,  1.24s/it]
overall:  89%|████████▉ | 3557/4000 [1:15:14<09:04,  1.23s/it]

train:   1%|          | 42/3515 [00:51<1:11:06,  1.23s/it]
overall:  89%|████████▉ | 3558/4000 [1:15:15<08:33,  1.16s/it]

train:   1%|          | 43/3515 [00:52<1:07:10,  1.16s/it]
overall:  89%|████████▉ | 3559/4000 [1:15:16<08:33,  1.16s/it]

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overall:  89%|████████▉ | 3560/4000 [1:15:18<08:47,  1.20s/it]

train:   1%|▏         | 45/3515 [00:54<1:09:20,  1.20s/it]
overall:  89%|████████▉ | 3561/4000 [1:15:19<08:47,  1.20s/it]

train:   1%|▏         | 46/3515 [00:55<1:09:28,  1.20s/it]
overall:  89%|████████▉ | 3562/4000 [1:15:19<07:29,  1.03s/it]

train:   1%|▏         | 47/3515 [00:56<59:19,  1.03s/it]  
overall:  89%|████████▉ | 3563/4000 [1:15:20<07:07,  1.02it/s]

train:   1%|▏         | 48/3515 [00:57<56:33,  1.02it/s]
overall:  89%|████████▉ | 3564/4000 [1:15:22<07:49,  1.08s/it]

train:   1%|▏         | 49/3515 [00:58<1:02:15,  1.08s/it]
overall:  89%|████████▉ | 3565/4000 [1:15:23<08:08,  1.12s/it]

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overall:  89%|████████▉ | 3566/4000 [1:15:24<08:14,  1.14s/it]

train:   1%|▏         | 51/3515 [01:01<1:05:43,  1.14s/it]
overall:  89%|████████▉ | 3567/4000 [1:15:25<08:30,  1.18s/it]

train:   1%|▏         | 52/3515 [01:02<1:08:02,  1.18s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:26<08:27,  1.17s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:44,  1.17s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:28<08:32,  1.19s/it]

train:   2%|▏         | 54/3515 [01:04<1:08:34,  1.19s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:29<08:21,  1.17s/it]

train:   2%|▏         | 55/3515 [01:05<1:07:17,  1.17s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:30<08:34,  1.20s/it]

train:   2%|▏         | 56/3515 [01:07<1:09:11,  1.20s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:31<08:45,  1.23s/it]

train:   2%|▏         | 57/3515 [01:08<1:10:46,  1.23s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:33<08:51,  1.24s/it]

train:   2%|▏         | 58/3515 [01:09<1:11:43,  1.24s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:34<08:56,  1.26s/it]

train:   2%|▏         | 59/3515 [01:11<1:12:31,  1.26s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:35<09:00,  1.27s/it]

train:   2%|▏         | 60/3515 [01:12<1:13:12,  1.27s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:37<09:00,  1.27s/it]

train:   2%|▏         | 61/3515 [01:13<1:13:21,  1.27s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:38<08:53,  1.26s/it]

train:   2%|▏         | 62/3515 [01:14<1:12:33,  1.26s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:39<08:53,  1.26s/it]

train:   2%|▏         | 63/3515 [01:16<1:12:46,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:40<08:46,  1.25s/it]

train:   2%|▏         | 64/3515 [01:17<1:11:57,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:41<08:42,  1.24s/it]

train:   2%|▏         | 65/3515 [01:18<1:11:32,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:43<08:24,  1.20s/it]

train:   2%|▏         | 66/3515 [01:19<1:09:12,  1.20s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:44<08:24,  1.21s/it]

train:   2%|▏         | 67/3515 [01:20<1:09:24,  1.21s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:45<08:33,  1.23s/it]

train:   2%|▏         | 68/3515 [01:22<1:10:47,  1.23s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:46<08:23,  1.21s/it]

train:   2%|▏         | 69/3515 [01:23<1:09:30,  1.21s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:47<07:38,  1.11s/it]

train:   2%|▏         | 70/3515 [01:24<1:03:27,  1.11s/it]
overall:  90%|████████▉ | 3586/4000 [1:15:48<07:34,  1.10s/it]

train:   2%|▏         | 71/3515 [01:25<1:03:02,  1.10s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:49<07:59,  1.16s/it]

train:   2%|▏         | 72/3515 [01:26<1:06:40,  1.16s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:51<08:14,  1.20s/it]

train:   2%|▏         | 73/3515 [01:27<1:08:54,  1.20s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:52<08:17,  1.21s/it]

train:   2%|▏         | 74/3515 [01:29<1:09:25,  1.21s/it]
overall:  90%|████████▉ | 3590/4000 [1:15:53<08:34,  1.25s/it]

train:   2%|▏         | 75/3515 [01:30<1:11:53,  1.25s/it]
overall:  90%|████████▉ | 3591/4000 [1:15:55<08:34,  1.26s/it]

train:   2%|▏         | 76/3515 [01:31<1:12:10,  1.26s/it]
overall:  90%|████████▉ | 3592/4000 [1:15:56<08:32,  1.25s/it]

train:   2%|▏         | 77/3515 [01:32<1:11:54,  1.25s/it]
overall:  90%|████████▉ | 3593/4000 [1:15:57<08:34,  1.26s/it]

train:   2%|▏         | 78/3515 [01:34<1:12:25,  1.26s/it]
overall:  90%|████████▉ | 3594/4000 [1:15:58<08:15,  1.22s/it]

train:   2%|▏         | 79/3515 [01:35<1:09:51,  1.22s/it]
overall:  90%|████████▉ | 3595/4000 [1:15:59<08:03,  1.19s/it]

train:   2%|▏         | 80/3515 [01:36<1:08:18,  1.19s/it]
overall:  90%|████████▉ | 3596/4000 [1:16:01<07:58,  1.18s/it]

train:   2%|▏         | 81/3515 [01:37<1:07:45,  1.18s/it]
overall:  90%|████████▉ | 3597/4000 [1:16:02<08:08,  1.21s/it]

train:   2%|▏         | 82/3515 [01:38<1:09:22,  1.21s/it]
overall:  90%|████████▉ | 3598/4000 [1:16:03<08:16,  1.24s/it]

train:   2%|▏         | 83/3515 [01:40<1:10:41,  1.24s/it]
overall:  90%|████████▉ | 3599/4000 [1:16:04<08:24,  1.26s/it]

train:   2%|▏         | 84/3515 [01:41<1:11:52,  1.26s/it]
overall:  90%|█████████ | 3600/4000 [1:16:06<08:36,  1.29s/it]

train:   2%|▏         | 85/3515 [01:42<1:13:47,  1.29s/it]
overall:  90%|█████████ | 3601/4000 [1:16:07<08:27,  1.27s/it]

train:   2%|▏         | 86/3515 [01:44<1:12:44,  1.27s/it]
overall:  90%|█████████ | 3602/4000 [1:16:08<08:18,  1.25s/it]

train:   2%|▏         | 87/3515 [01:45<1:11:34,  1.25s/it]
overall:  90%|█████████ | 3603/4000 [1:16:09<08:14,  1.25s/it]

train:   3%|▎         | 88/3515 [01:46<1:11:11,  1.25s/it]
overall:  90%|█████████ | 3604/4000 [1:16:11<08:02,  1.22s/it]

train:   3%|▎         | 89/3515 [01:47<1:09:38,  1.22s/it]
overall:  90%|█████████ | 3605/4000 [1:16:12<07:54,  1.20s/it]

train:   3%|▎         | 90/3515 [01:48<1:08:30,  1.20s/it]
overall:  90%|█████████ | 3606/4000 [1:16:13<07:48,  1.19s/it]

train:   3%|▎         | 91/3515 [01:50<1:07:48,  1.19s/it]
overall:  90%|█████████ | 3607/4000 [1:16:14<07:50,  1.20s/it]

train:   3%|▎         | 92/3515 [01:51<1:08:21,  1.20s/it]
overall:  90%|█████████ | 3608/4000 [1:16:15<08:02,  1.23s/it]

train:   3%|▎         | 93/3515 [01:52<1:10:09,  1.23s/it]
overall:  90%|█████████ | 3609/4000 [1:16:16<06:23,  1.02it/s]

train:   3%|▎         | 94/3515 [01:52<55:52,  1.02it/s]  
overall:  90%|█████████ | 3610/4000 [1:16:17<06:19,  1.03it/s]

train:   3%|▎         | 95/3515 [01:53<55:30,  1.03it/s]
overall:  90%|█████████ | 3611/4000 [1:16:18<06:41,  1.03s/it]

train:   3%|▎         | 96/3515 [01:55<58:51,  1.03s/it]
overall:  90%|█████████ | 3612/4000 [1:16:19<06:54,  1.07s/it]

train:   3%|▎         | 97/3515 [01:56<1:00:48,  1.07s/it]
overall:  90%|█████████ | 3613/4000 [1:16:20<06:58,  1.08s/it]

train:   3%|▎         | 98/3515 [01:57<1:01:32,  1.08s/it]
overall:  90%|█████████ | 3614/4000 [1:16:22<07:15,  1.13s/it]

train:   3%|▎         | 99/3515 [01:58<1:04:14,  1.13s/it]
overall:  90%|█████████ | 3615/4000 [1:16:23<07:20,  1.15s/it]

train:   3%|▎         | 100/3515 [01:59<1:05:11,  1.15s/it]
overall:  90%|█████████ | 3616/4000 [1:16:24<07:34,  1.18s/it]

train:   3%|▎         | 101/3515 [02:01<1:07:24,  1.18s/it]
overall:  90%|█████████ | 3617/4000 [1:16:25<07:37,  1.19s/it]

train:   3%|▎         | 102/3515 [02:02<1:07:58,  1.19s/it]
overall:  90%|█████████ | 3618/4000 [1:16:26<07:46,  1.22s/it]

train:   3%|▎         | 103/3515 [02:03<1:09:26,  1.22s/it]
overall:  90%|█████████ | 3619/4000 [1:16:27<06:35,  1.04s/it]

train:   3%|▎         | 104/3515 [02:04<59:04,  1.04s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:28<05:40,  1.12it/s]

train:   3%|▎         | 105/3515 [02:04<50:54,  1.12it/s]
overall:  91%|█████████ | 3621/4000 [1:16:28<04:26,  1.42it/s]

train:   3%|▎         | 106/3515 [02:05<40:00,  1.42it/s]
overall:  91%|█████████ | 3622/4000 [1:16:29<05:22,  1.17it/s]

train:   3%|▎         | 107/3515 [02:06<48:30,  1.17it/s]
overall:  91%|█████████ | 3623/4000 [1:16:30<06:15,  1.00it/s]

train:   3%|▎         | 108/3515 [02:07<56:32,  1.00it/s]
overall:  91%|█████████ | 3624/4000 [1:16:32<06:34,  1.05s/it]

train:   3%|▎         | 109/3515 [02:08<59:30,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:16:32<05:24,  1.15it/s]

train:   3%|▎         | 110/3515 [02:09<49:10,  1.15it/s]
overall:  91%|█████████ | 3626/4000 [1:16:33<06:18,  1.01s/it]

train:   3%|▎         | 111/3515 [02:10<57:25,  1.01s/it]
overall:  91%|█████████ | 3627/4000 [1:16:35<06:34,  1.06s/it]

train:   3%|▎         | 112/3515 [02:11<1:00:01,  1.06s/it]
overall:  91%|█████████ | 3628/4000 [1:16:36<07:05,  1.14s/it]

train:   3%|▎         | 113/3515 [02:13<1:04:54,  1.14s/it]
overall:  91%|█████████ | 3629/4000 [1:16:37<07:13,  1.17s/it]

train:   3%|▎         | 114/3515 [02:14<1:06:13,  1.17s/it]
overall:  91%|█████████ | 3630/4000 [1:16:37<05:35,  1.10it/s]

train:   3%|▎         | 115/3515 [02:14<51:26,  1.10it/s]  
overall:  91%|█████████ | 3631/4000 [1:16:39<06:11,  1.01s/it]

train:   3%|▎         | 116/3515 [02:15<56:58,  1.01s/it]
overall:  91%|█████████ | 3632/4000 [1:16:40<06:34,  1.07s/it]

train:   3%|▎         | 117/3515 [02:16<1:00:38,  1.07s/it]
overall:  91%|█████████ | 3633/4000 [1:16:41<06:17,  1.03s/it]

train:   3%|▎         | 118/3515 [02:17<58:16,  1.03s/it]  
overall:  91%|█████████ | 3634/4000 [1:16:42<06:35,  1.08s/it]

train:   3%|▎         | 119/3515 [02:19<1:01:05,  1.08s/it]
overall:  91%|█████████ | 3635/4000 [1:16:43<06:23,  1.05s/it]

train:   3%|▎         | 120/3515 [02:20<59:29,  1.05s/it]  
overall:  91%|█████████ | 3636/4000 [1:16:44<06:46,  1.12s/it]

train:   3%|▎         | 121/3515 [02:21<1:03:06,  1.12s/it]
overall:  91%|█████████ | 3637/4000 [1:16:45<06:33,  1.08s/it]

train:   3%|▎         | 122/3515 [02:22<1:01:15,  1.08s/it]
overall:  91%|█████████ | 3638/4000 [1:16:47<06:52,  1.14s/it]

train:   3%|▎         | 123/3515 [02:23<1:04:20,  1.14s/it]
overall:  91%|█████████ | 3639/4000 [1:16:48<07:07,  1.19s/it]

train:   4%|▎         | 124/3515 [02:24<1:06:58,  1.19s/it]
overall:  91%|█████████ | 3640/4000 [1:16:49<07:02,  1.17s/it]

train:   4%|▎         | 125/3515 [02:26<1:06:22,  1.17s/it]
overall:  91%|█████████ | 3641/4000 [1:16:49<05:40,  1.05it/s]

train:   4%|▎         | 126/3515 [02:26<53:32,  1.05it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:51<06:11,  1.04s/it]

train:   4%|▎         | 127/3515 [02:27<58:39,  1.04s/it]
overall:  91%|█████████ | 3643/4000 [1:16:52<06:11,  1.04s/it]

train:   4%|▎         | 128/3515 [02:28<58:45,  1.04s/it]
overall:  91%|█████████ | 3644/4000 [1:16:53<06:30,  1.10s/it]

train:   4%|▎         | 129/3515 [02:30<1:01:55,  1.10s/it]
overall:  91%|█████████ | 3645/4000 [1:16:54<06:18,  1.07s/it]

train:   4%|▎         | 130/3515 [02:31<1:00:06,  1.07s/it]
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overall:  99%|█████████▉| 3974/4000 [1:23:11<00:29,  1.12s/it]

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overall: 100%|█████████▉| 3999/4000 [1:23:38<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [09:15<55:37,  1.10s/it]train loss: 7.615958213806152
train per: 0.726684934140948
train loss: 7.637139797210693
train per: 0.7095115066264772
train loss: 5.866881847381592
train per: 0.6831500881651281
train loss: 5.1280975341796875
train per: 0.6506253722453842
train loss: 6.726344108581543
train per: 0.7026389374344635
train loss: 10.093149185180664
train per: 0.7675199105026237
train loss: 15.019865036010742
train per: 0.8921701292154209
train loss: 13.17266845703125
train per: 0.7648765979900702
train loss: 16.416431427001953
train per: 0.7809746588693958
train loss: 12.305219650268555
train per: 0.7381792183031458
train loss: 10.896453857421875
train per: 0.7169071879754715
train loss: 7.400202751159668
train per: 0.674479692867246
train loss: 7.132408142089844
train per: 0.6835947413836861
train loss: 8.55795669555664
train per: 0.7321578909388304
train loss: 9.767024040222168
train per: 0.8935808312379826
train loss: 8.4702730178833
train per: 0.715015029343003
train loss: 6.5133562088012695
train per: 0.6602902055622732
train loss: 7.5669450759887695
train per: 0.7199840727034243
train loss: 7.8621506690979
train per: 0.7117004169959936
train loss: 7.585062503814697
train per: 0.6911139942506805
train loss: 6.354853630065918
train per: 0.6652240262176969
train loss: 6.0785393714904785
train per: 0.671039199673336
train loss: 6.7804155349731445
train per: 0.6934386201880617
train loss: 7.180799961090088
train per: 0.7031106248601338
train loss: 6.350574493408203
train per: 0.6705968280467446
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|██        | 548/2703 [00:00<00:00, 5474.90it/s]


word -> phonemes:  41%|████      | 1114/2703 [00:00<00:00, 5583.24it/s]


word -> phonemes:  62%|██████▏   | 1673/2703 [00:00<00:00, 5513.18it/s]


word -> phonemes:  82%|████████▏ | 2225/2703 [00:00<00:00, 5410.82it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5436.92it/s]



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overall: 100%|█████████▉| 3999/4000 [1:26:31<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:08<55:37,  1.10s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:31<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [12:08<55:37,  1.10s/it]
overall: 100%|██████████| 4000/4000 [1:26:31<00:00, 52.54s/it]

train:  14%|█▍        | 485/3515 [12:08<44:13:14, 52.54s/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 [12:08<1:15:50,  1.50s/it] 

overall: 100%|██████████| 4000/4000 [1:26:31<00:00,  1.30s/it]
dev loss: 8.73660659790039
dev per: 0.8626586888657648
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt