/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-v1-95M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_g', 'encoder.pos_conv_embed.conv.weight_v']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-95M 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-v1-95M {'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:   9%|▉         | 332/3515 [00:00<00:00, 3319.23it/s]

word -> phonemes:  22%|██▏       | 787/3515 [00:00<00:00, 4002.92it/s]

word -> phonemes:  34%|███▍      | 1187/3515 [00:00<00:00, 3184.36it/s]

word -> phonemes:  45%|████▌     | 1589/3515 [00:00<00:00, 3468.34it/s]

word -> phonemes:  55%|█████▌    | 1950/3515 [00:00<00:00, 3363.49it/s]

word -> phonemes:  66%|██████▌   | 2314/3515 [00:00<00:00, 3448.87it/s]

word -> phonemes:  76%|███████▌  | 2666/3515 [00:00<00:00, 3465.29it/s]

word -> phonemes:  87%|████████▋ | 3067/3515 [00:00<00:00, 3629.01it/s]

word -> phonemes:  99%|█████████▊| 3469/3515 [00:00<00:00, 3746.22it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3578.57it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<4:14:42,  3.82s/it]

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overall:   0%|          | 2/4000 [00:04<2:10:13,  1.95s/it]

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overall:   0%|          | 3/4000 [00:05<1:26:55,  1.30s/it]

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overall:   0%|          | 4/4000 [00:05<1:05:35,  1.02it/s]

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overall:   0%|          | 5/4000 [00:05<53:08,  1.25it/s]  

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overall:   0%|          | 8/4000 [00:07<35:54,  1.85it/s]

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overall:   0%|          | 18/4000 [00:11<32:27,  2.04it/s]

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overall:   0%|          | 19/4000 [00:12<26:36,  2.49it/s]

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overall:   0%|          | 20/4000 [00:12<28:10,  2.35it/s]

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overall:   1%|          | 22/4000 [00:13<25:12,  2.63it/s]

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overall:   1%|          | 24/4000 [00:13<21:46,  3.04it/s]

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overall:   1%|          | 25/4000 [00:14<17:23,  3.81it/s]

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overall:   1%|          | 28/4000 [00:15<28:33,  2.32it/s]

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overall:   1%|          | 29/4000 [00:16<28:37,  2.31it/s]

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overall:   1%|          | 30/4000 [00:16<29:35,  2.24it/s]

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overall:   1%|          | 32/4000 [00:17<28:06,  2.35it/s]

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overall:   1%|          | 33/4000 [00:17<33:47,  1.96it/s]

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overall:   1%|          | 34/4000 [00:18<33:27,  1.98it/s]

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overall:   1%|          | 36/4000 [00:19<28:28,  2.32it/s]

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overall:   1%|          | 37/4000 [00:19<30:00,  2.20it/s]

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overall:   1%|          | 38/4000 [00:20<31:35,  2.09it/s]

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overall:   1%|          | 39/4000 [00:20<31:34,  2.09it/s]

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overall:   1%|          | 40/4000 [00:21<31:01,  2.13it/s]

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overall:   1%|          | 41/4000 [00:21<31:42,  2.08it/s]

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overall:   1%|          | 42/4000 [00:21<24:16,  2.72it/s]

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overall:   1%|          | 43/4000 [00:22<25:19,  2.60it/s]

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overall:   1%|          | 44/4000 [00:22<27:36,  2.39it/s]

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overall:   1%|▏         | 50/4000 [00:25<33:35,  1.96it/s]

train:   1%|▏         | 50/3515 [00:23<29:28,  1.96it/s]
overall:   1%|▏         | 51/4000 [00:26<32:25,  2.03it/s]

train:   1%|▏         | 51/3515 [00:23<28:26,  2.03it/s]
overall:   1%|▏         | 52/4000 [00:26<31:59,  2.06it/s]

train:   1%|▏         | 52/3515 [00:24<28:03,  2.06it/s]
overall:   1%|▏         | 53/4000 [00:27<32:03,  2.05it/s]

train:   2%|▏         | 53/3515 [00:24<28:06,  2.05it/s]
overall:   1%|▏         | 54/4000 [00:27<31:25,  2.09it/s]

train:   2%|▏         | 54/3515 [00:25<27:34,  2.09it/s]
overall:   1%|▏         | 55/4000 [00:27<28:55,  2.27it/s]

train:   2%|▏         | 55/3515 [00:25<25:22,  2.27it/s]
overall:   1%|▏         | 56/4000 [00:28<27:36,  2.38it/s]

train:   2%|▏         | 56/3515 [00:26<24:13,  2.38it/s]
overall:   1%|▏         | 57/4000 [00:28<28:32,  2.30it/s]

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overall:   1%|▏         | 58/4000 [00:29<29:22,  2.24it/s]

train:   2%|▏         | 58/3515 [00:27<25:45,  2.24it/s]
overall:   1%|▏         | 59/4000 [00:29<29:43,  2.21it/s]

train:   2%|▏         | 59/3515 [00:27<26:04,  2.21it/s]
overall:   2%|▏         | 60/4000 [00:30<30:52,  2.13it/s]

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overall:   2%|▏         | 61/4000 [00:30<30:53,  2.12it/s]

train:   2%|▏         | 61/3515 [00:28<27:05,  2.12it/s]
overall:   2%|▏         | 62/4000 [00:31<31:35,  2.08it/s]

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overall:   2%|▏         | 63/4000 [00:31<31:16,  2.10it/s]

train:   2%|▏         | 63/3515 [00:29<27:25,  2.10it/s]
overall:   2%|▏         | 64/4000 [00:32<30:33,  2.15it/s]

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overall:   2%|▏         | 65/4000 [00:32<31:29,  2.08it/s]

train:   2%|▏         | 65/3515 [00:30<27:36,  2.08it/s]
overall:   2%|▏         | 66/4000 [00:32<30:08,  2.18it/s]

train:   2%|▏         | 66/3515 [00:30<26:25,  2.18it/s]
overall:   2%|▏         | 67/4000 [00:33<30:03,  2.18it/s]

train:   2%|▏         | 67/3515 [00:31<26:21,  2.18it/s]
overall:   2%|▏         | 68/4000 [00:33<30:37,  2.14it/s]

train:   2%|▏         | 68/3515 [00:31<26:50,  2.14it/s]
overall:   2%|▏         | 69/4000 [00:34<30:42,  2.13it/s]

train:   2%|▏         | 69/3515 [00:32<26:55,  2.13it/s]
overall:   2%|▏         | 70/4000 [00:34<29:30,  2.22it/s]

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overall:   2%|▏         | 71/4000 [00:34<23:37,  2.77it/s]

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overall:   2%|▏         | 73/4000 [00:35<27:09,  2.41it/s]

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overall:   2%|▏         | 74/4000 [00:36<31:15,  2.09it/s]

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overall:   2%|▏         | 75/4000 [00:37<31:49,  2.06it/s]

train:   2%|▏         | 75/3515 [00:34<27:53,  2.05it/s]
overall:   2%|▏         | 76/4000 [00:37<31:53,  2.05it/s]

train:   2%|▏         | 76/3515 [00:35<27:57,  2.05it/s]
overall:   2%|▏         | 77/4000 [00:38<31:58,  2.04it/s]

train:   2%|▏         | 77/3515 [00:35<28:01,  2.04it/s]
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overall:   3%|▎         | 116/4000 [00:55<28:56,  2.24it/s]

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train:   4%|▍         | 134/3515 [01:01<27:44,  2.03it/s]
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train:   4%|▍         | 138/3515 [01:03<27:13,  2.07it/s]
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train:   4%|▍         | 140/3515 [01:04<27:59,  2.01it/s]
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train:   4%|▍         | 143/3515 [01:05<24:04,  2.33it/s]
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train:   4%|▍         | 144/3515 [01:05<21:09,  2.66it/s]
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train:   4%|▍         | 147/3515 [01:07<27:15,  2.06it/s]
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train:   4%|▍         | 148/3515 [01:07<26:46,  2.10it/s]
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train:   4%|▍         | 149/3515 [01:08<26:52,  2.09it/s]
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train:   4%|▍         | 150/3515 [01:08<26:36,  2.11it/s]
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train:   4%|▍         | 151/3515 [01:09<26:37,  2.11it/s]
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train:   4%|▍         | 152/3515 [01:09<27:04,  2.07it/s]
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train:   4%|▍         | 153/3515 [01:10<26:44,  2.10it/s]
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train:   4%|▍         | 154/3515 [01:10<25:47,  2.17it/s]
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train:   4%|▍         | 155/3515 [01:11<26:18,  2.13it/s]
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train:   4%|▍         | 156/3515 [01:11<26:46,  2.09it/s]
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train:   4%|▍         | 157/3515 [01:12<26:31,  2.11it/s]
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train:   4%|▍         | 158/3515 [01:12<27:04,  2.07it/s]
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train:   5%|▍         | 159/3515 [01:13<27:09,  2.06it/s]
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train:   5%|▍         | 160/3515 [01:13<22:54,  2.44it/s]
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train:   5%|▍         | 161/3515 [01:13<24:04,  2.32it/s]
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train:   5%|▍         | 162/3515 [01:14<24:42,  2.26it/s]
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train:   5%|▍         | 163/3515 [01:14<25:00,  2.23it/s]
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train:   5%|▍         | 164/3515 [01:15<25:54,  2.16it/s]
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train:   5%|▍         | 165/3515 [01:15<26:00,  2.15it/s]
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train:   5%|▍         | 166/3515 [01:16<25:49,  2.16it/s]
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train:   5%|▍         | 167/3515 [01:16<22:06,  2.52it/s]
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train:   5%|▍         | 168/3515 [01:17<23:51,  2.34it/s]
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train:   5%|▍         | 169/3515 [01:17<24:14,  2.30it/s]
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train:   5%|▍         | 170/3515 [01:18<27:08,  2.05it/s]
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train:   5%|▍         | 171/3515 [01:18<27:33,  2.02it/s]
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train:   5%|▍         | 172/3515 [01:19<27:28,  2.03it/s]
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train:   5%|▍         | 173/3515 [01:19<23:21,  2.38it/s]
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train:   5%|▍         | 174/3515 [01:19<24:23,  2.28it/s]
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train:   5%|▍         | 175/3515 [01:20<25:34,  2.18it/s]
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train:   5%|▌         | 176/3515 [01:20<26:13,  2.12it/s]
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train:   5%|▌         | 177/3515 [01:21<26:35,  2.09it/s]
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train:   5%|▌         | 178/3515 [01:21<26:29,  2.10it/s]
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train:   5%|▌         | 179/3515 [01:22<26:10,  2.12it/s]
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train:   5%|▌         | 180/3515 [01:22<27:13,  2.04it/s]
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train:   5%|▌         | 181/3515 [01:23<26:57,  2.06it/s]
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train:   5%|▌         | 182/3515 [01:23<27:45,  2.00it/s]
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train:   5%|▌         | 183/3515 [01:24<27:36,  2.01it/s]
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train:   5%|▌         | 184/3515 [01:24<26:10,  2.12it/s]
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train:   5%|▌         | 185/3515 [01:25<25:48,  2.15it/s]
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train:   5%|▌         | 186/3515 [01:25<25:49,  2.15it/s]
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train:   5%|▌         | 187/3515 [01:25<24:16,  2.28it/s]
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train:   5%|▌         | 188/3515 [01:26<23:19,  2.38it/s]
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train:   5%|▌         | 189/3515 [01:26<23:56,  2.32it/s]
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train:   5%|▌         | 190/3515 [01:27<23:05,  2.40it/s]
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train:   5%|▌         | 191/3515 [01:27<23:32,  2.35it/s]
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train:   5%|▌         | 192/3515 [01:27<19:33,  2.83it/s]
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train:   5%|▌         | 193/3515 [01:28<21:39,  2.56it/s]
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train:   6%|▌         | 195/3515 [01:29<27:12,  2.03it/s]
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overall:   6%|▌         | 237/4000 [01:50<27:56,  2.24it/s]

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overall:   6%|▌         | 238/4000 [01:50<28:43,  2.18it/s]

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overall:   6%|▌         | 239/4000 [01:51<29:30,  2.12it/s]

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overall:   6%|▌         | 240/4000 [01:51<29:59,  2.09it/s]

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overall:   6%|▌         | 241/4000 [01:52<29:03,  2.16it/s]

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overall:   6%|▌         | 242/4000 [01:53<32:40,  1.92it/s]

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overall:   6%|▌         | 243/4000 [01:53<32:46,  1.91it/s]

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overall:   6%|▌         | 244/4000 [01:54<31:38,  1.98it/s]

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overall:   6%|▌         | 245/4000 [01:54<30:44,  2.04it/s]

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overall:   6%|▌         | 246/4000 [01:54<29:31,  2.12it/s]

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overall:   6%|▌         | 247/4000 [01:55<29:15,  2.14it/s]

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overall:   6%|▌         | 248/4000 [01:55<29:01,  2.15it/s]

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overall:   6%|▌         | 249/4000 [01:56<28:14,  2.21it/s]

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overall:   6%|▋         | 250/4000 [01:56<28:48,  2.17it/s]

train:   7%|▋         | 250/3515 [01:54<25:05,  2.17it/s]
overall:   6%|▋         | 251/4000 [01:57<26:38,  2.35it/s]

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overall:   6%|▋         | 252/4000 [01:57<28:29,  2.19it/s]

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overall:   6%|▋         | 253/4000 [01:58<28:04,  2.23it/s]

train:   7%|▋         | 253/3515 [01:55<24:26,  2.23it/s]
overall:   6%|▋         | 254/4000 [01:58<29:25,  2.12it/s]

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overall:   6%|▋         | 255/4000 [01:59<29:16,  2.13it/s]

train:   7%|▋         | 255/3515 [01:56<25:28,  2.13it/s]
overall:   6%|▋         | 256/4000 [01:59<29:35,  2.11it/s]

train:   7%|▋         | 256/3515 [01:57<25:45,  2.11it/s]
overall:   6%|▋         | 257/4000 [02:00<30:15,  2.06it/s]

train:   7%|▋         | 257/3515 [01:57<26:20,  2.06it/s]
overall:   6%|▋         | 258/4000 [02:00<29:58,  2.08it/s]

train:   7%|▋         | 258/3515 [01:58<26:05,  2.08it/s]
overall:   6%|▋         | 259/4000 [02:00<30:13,  2.06it/s]

train:   7%|▋         | 259/3515 [01:58<26:18,  2.06it/s]
overall:   6%|▋         | 260/4000 [02:01<30:50,  2.02it/s]

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train:   7%|▋         | 261/3515 [01:59<26:18,  2.06it/s]
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overall:   7%|▋         | 263/4000 [02:02<29:45,  2.09it/s]

train:   7%|▋         | 263/3515 [02:00<25:53,  2.09it/s]
overall:   7%|▋         | 264/4000 [02:03<29:58,  2.08it/s]

train:   8%|▊         | 264/3515 [02:01<26:05,  2.08it/s]
overall:   7%|▋         | 265/4000 [02:03<29:05,  2.14it/s]

train:   8%|▊         | 265/3515 [02:01<25:18,  2.14it/s]
overall:   7%|▋         | 266/4000 [02:04<31:56,  1.95it/s]

train:   8%|▊         | 266/3515 [02:02<27:47,  1.95it/s]
overall:   7%|▋         | 267/4000 [02:04<31:28,  1.98it/s]

train:   8%|▊         | 267/3515 [02:02<27:22,  1.98it/s]
overall:   7%|▋         | 268/4000 [02:05<29:48,  2.09it/s]

train:   8%|▊         | 268/3515 [02:03<25:56,  2.09it/s]
overall:   7%|▋         | 269/4000 [02:05<27:58,  2.22it/s]

train:   8%|▊         | 269/3515 [02:03<24:20,  2.22it/s]
overall:   7%|▋         | 270/4000 [02:06<27:23,  2.27it/s]

train:   8%|▊         | 270/3515 [02:04<23:49,  2.27it/s]
overall:   7%|▋         | 271/4000 [02:06<28:24,  2.19it/s]

train:   8%|▊         | 271/3515 [02:04<24:43,  2.19it/s]
overall:   7%|▋         | 272/4000 [02:07<29:06,  2.13it/s]

train:   8%|▊         | 272/3515 [02:04<25:19,  2.13it/s]
overall:   7%|▋         | 273/4000 [02:07<29:07,  2.13it/s]

train:   8%|▊         | 273/3515 [02:05<25:20,  2.13it/s]
overall:   7%|▋         | 274/4000 [02:08<29:17,  2.12it/s]

train:   8%|▊         | 274/3515 [02:05<25:28,  2.12it/s]
overall:   7%|▋         | 275/4000 [02:08<29:34,  2.10it/s]

train:   8%|▊         | 275/3515 [02:06<25:43,  2.10it/s]
overall:   7%|▋         | 276/4000 [02:09<30:17,  2.05it/s]

train:   8%|▊         | 276/3515 [02:06<26:20,  2.05it/s]
overall:   7%|▋         | 277/4000 [02:09<29:18,  2.12it/s]

train:   8%|▊         | 277/3515 [02:07<25:29,  2.12it/s]
overall:   7%|▋         | 278/4000 [02:10<29:12,  2.12it/s]

train:   8%|▊         | 278/3515 [02:07<25:24,  2.12it/s]
overall:   7%|▋         | 279/4000 [02:10<29:11,  2.12it/s]

train:   8%|▊         | 279/3515 [02:08<25:23,  2.12it/s]
overall:   7%|▋         | 280/4000 [02:10<29:54,  2.07it/s]

train:   8%|▊         | 280/3515 [02:08<26:00,  2.07it/s]
overall:   7%|▋         | 281/4000 [02:11<30:21,  2.04it/s]

train:   8%|▊         | 281/3515 [02:09<26:23,  2.04it/s]
overall:   7%|▋         | 282/4000 [02:11<29:08,  2.13it/s]

train:   8%|▊         | 282/3515 [02:09<25:20,  2.13it/s]
overall:   7%|▋         | 283/4000 [02:12<26:01,  2.38it/s]

train:   8%|▊         | 283/3515 [02:10<22:38,  2.38it/s]
overall:   7%|▋         | 284/4000 [02:12<27:34,  2.25it/s]

train:   8%|▊         | 284/3515 [02:10<23:58,  2.25it/s]
overall:   7%|▋         | 285/4000 [02:13<28:14,  2.19it/s]

train:   8%|▊         | 285/3515 [02:11<24:33,  2.19it/s]
overall:   7%|▋         | 286/4000 [02:13<28:41,  2.16it/s]

train:   8%|▊         | 286/3515 [02:11<24:56,  2.16it/s]
overall:   7%|▋         | 287/4000 [02:14<27:34,  2.24it/s]

train:   8%|▊         | 287/3515 [02:11<23:58,  2.24it/s]
overall:   7%|▋         | 288/4000 [02:14<27:08,  2.28it/s]

train:   8%|▊         | 288/3515 [02:12<23:35,  2.28it/s]
overall:   7%|▋         | 289/4000 [02:14<27:50,  2.22it/s]

train:   8%|▊         | 289/3515 [02:12<24:11,  2.22it/s]
overall:   7%|▋         | 290/4000 [02:15<32:12,  1.92it/s]

train:   8%|▊         | 290/3515 [02:13<27:59,  1.92it/s]
overall:   7%|▋         | 291/4000 [02:16<32:14,  1.92it/s]

train:   8%|▊         | 291/3515 [02:14<28:01,  1.92it/s]
overall:   7%|▋         | 292/4000 [02:16<31:21,  1.97it/s]

train:   8%|▊         | 292/3515 [02:14<27:15,  1.97it/s]
overall:   7%|▋         | 293/4000 [02:17<30:24,  2.03it/s]

train:   8%|▊         | 293/3515 [02:14<26:25,  2.03it/s]
overall:   7%|▋         | 294/4000 [02:17<30:29,  2.03it/s]

train:   8%|▊         | 294/3515 [02:15<26:30,  2.03it/s]
overall:   7%|▋         | 295/4000 [02:18<30:38,  2.02it/s]

train:   8%|▊         | 295/3515 [02:15<26:37,  2.02it/s]
overall:   7%|▋         | 296/4000 [02:18<30:40,  2.01it/s]

train:   8%|▊         | 296/3515 [02:16<26:39,  2.01it/s]
overall:   7%|▋         | 297/4000 [02:19<30:19,  2.04it/s]

train:   8%|▊         | 297/3515 [02:16<26:20,  2.04it/s]
overall:   7%|▋         | 298/4000 [02:19<30:22,  2.03it/s]

train:   8%|▊         | 298/3515 [02:17<26:23,  2.03it/s]
overall:   7%|▋         | 299/4000 [02:19<28:03,  2.20it/s]

train:   9%|▊         | 299/3515 [02:17<24:23,  2.20it/s]
overall:   8%|▊         | 300/4000 [02:20<29:41,  2.08it/s]

train:   9%|▊         | 300/3515 [02:18<25:48,  2.08it/s]
overall:   8%|▊         | 301/4000 [02:20<28:47,  2.14it/s]

train:   9%|▊         | 301/3515 [02:18<25:01,  2.14it/s]
overall:   8%|▊         | 302/4000 [02:21<30:09,  2.04it/s]

train:   9%|▊         | 302/3515 [02:19<26:12,  2.04it/s]
overall:   8%|▊         | 303/4000 [02:21<29:55,  2.06it/s]

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overall:   8%|▊         | 305/4000 [02:22<30:04,  2.05it/s]

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overall:   8%|▊         | 306/4000 [02:23<29:00,  2.12it/s]

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overall:  10%|▉         | 399/4000 [03:05<29:03,  2.07it/s]

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overall:  11%|█         | 421/4000 [03:15<26:00,  2.29it/s]

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overall:  11%|█         | 422/4000 [03:16<28:08,  2.12it/s]

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overall:  11%|█         | 423/4000 [03:16<28:53,  2.06it/s]

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overall:  12%|█▏        | 482/4000 [03:43<27:26,  2.14it/s]

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overall:  12%|█▏        | 483/4000 [03:44<27:24,  2.14it/s]

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overall:  12%|█▏        | 484/4000 [03:44<22:18,  2.63it/s]

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overall:  12%|█▏        | 485/4000 [03:44<23:59,  2.44it/s]

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overall:  12%|█▏        | 486/4000 [03:45<27:11,  2.15it/s]

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overall:  12%|█▏        | 487/4000 [03:45<27:30,  2.13it/s]

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overall:  12%|█▏        | 488/4000 [03:46<27:45,  2.11it/s]

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overall:  12%|█▏        | 489/4000 [03:46<27:53,  2.10it/s]

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overall:  12%|█▏        | 490/4000 [03:47<26:43,  2.19it/s]

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overall:  12%|█▏        | 491/4000 [03:47<23:21,  2.50it/s]

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overall:  12%|█▏        | 492/4000 [03:47<19:02,  3.07it/s]

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overall:  12%|█▏        | 495/4000 [03:48<24:36,  2.37it/s]

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overall:  13%|█▎        | 505/4000 [03:53<26:15,  2.22it/s]

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overall:  13%|█▎        | 506/4000 [03:53<26:50,  2.17it/s]

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overall:  13%|█▎        | 507/4000 [03:54<26:42,  2.18it/s]

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overall:  13%|█▎        | 508/4000 [03:54<27:27,  2.12it/s]

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overall:  13%|█▎        | 509/4000 [03:55<27:53,  2.09it/s]

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overall:  13%|█▎        | 510/4000 [03:55<29:49,  1.95it/s]

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overall:  13%|█▎        | 511/4000 [03:56<29:14,  1.99it/s]

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overall:  13%|█▎        | 512/4000 [03:56<29:05,  2.00it/s]

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overall:  13%|█▎        | 513/4000 [03:57<27:54,  2.08it/s]

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overall:  13%|█▎        | 514/4000 [03:57<24:52,  2.34it/s]

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overall:  13%|█▎        | 515/4000 [03:57<20:19,  2.86it/s]

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overall:  13%|█▎        | 516/4000 [03:58<22:57,  2.53it/s]

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overall:  13%|█▎        | 517/4000 [03:58<25:04,  2.31it/s]

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overall:  13%|█▎        | 518/4000 [03:59<25:44,  2.25it/s]

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overall:  13%|█▎        | 519/4000 [03:59<26:41,  2.17it/s]

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overall:  13%|█▎        | 520/4000 [04:00<25:03,  2.32it/s]

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overall:  13%|█▎        | 521/4000 [04:00<20:30,  2.83it/s]

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overall:  13%|█▎        | 522/4000 [04:00<22:55,  2.53it/s]

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overall:  13%|█▎        | 523/4000 [04:01<24:38,  2.35it/s]

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overall:  13%|█▎        | 524/4000 [04:01<24:46,  2.34it/s]

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overall:  13%|█▎        | 525/4000 [04:02<24:51,  2.33it/s]

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overall:  13%|█▎        | 526/4000 [04:02<24:49,  2.33it/s]

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overall:  13%|█▎        | 527/4000 [04:02<25:59,  2.23it/s]

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overall:  13%|█▎        | 528/4000 [04:03<26:18,  2.20it/s]

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overall:  13%|█▎        | 529/4000 [04:03<26:48,  2.16it/s]

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overall:  13%|█▎        | 531/4000 [04:04<27:29,  2.10it/s]

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overall:  13%|█▎        | 532/4000 [04:05<28:19,  2.04it/s]

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overall:  13%|█▎        | 533/4000 [04:05<27:20,  2.11it/s]

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overall:  13%|█▎        | 534/4000 [04:06<29:13,  1.98it/s]

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overall:  13%|█▎        | 536/4000 [04:07<29:11,  1.98it/s]

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overall:  13%|█▎        | 538/4000 [04:08<23:02,  2.50it/s]

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overall:  14%|█▎        | 542/4000 [04:08<17:02,  3.38it/s]

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overall:  14%|█▎        | 543/4000 [04:09<18:16,  3.15it/s]

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overall:  14%|█▎        | 544/4000 [04:09<20:57,  2.75it/s]

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overall:  14%|█▎        | 545/4000 [04:10<23:25,  2.46it/s]

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overall:  14%|█▎        | 546/4000 [04:10<24:46,  2.32it/s]

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overall:  14%|█▎        | 548/4000 [04:11<22:11,  2.59it/s]

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overall:  14%|█▎        | 549/4000 [04:12<23:52,  2.41it/s]

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overall:  14%|█▍        | 550/4000 [04:12<25:20,  2.27it/s]

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overall:  14%|█▍        | 552/4000 [04:13<26:29,  2.17it/s]

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overall:  14%|█▍        | 554/4000 [04:14<28:23,  2.02it/s]

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overall:  16%|█▌        | 627/4000 [04:47<28:33,  1.97it/s]

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overall:  16%|█▌        | 642/4000 [04:54<25:16,  2.21it/s]

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overall:  16%|█▌        | 643/4000 [04:54<25:49,  2.17it/s]

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overall:  17%|█▋        | 661/4000 [05:02<15:48,  3.52it/s]

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overall:  17%|█▋        | 668/4000 [05:05<23:43,  2.34it/s]

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overall:  17%|█▋        | 686/4000 [05:13<25:04,  2.20it/s]

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overall:  17%|█▋        | 687/4000 [05:13<25:07,  2.20it/s]

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train:  28%|██▊       | 996/3515 [07:35<19:38,  2.14it/s]
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overall:  25%|██▍       | 999/4000 [07:39<24:01,  2.08it/s]

train:  28%|██▊       | 999/3515 [07:37<20:08,  2.08it/s]train loss: 7.470484733581543
train per: 0.9880251471908991
train loss: 5.411539077758789
train per: 0.8708198632677937
train loss: 4.375656604766846
train per: 0.875317400068061
train loss: 4.276713848114014
train per: 0.8421455938697318
train loss: 4.3575520515441895
train per: 0.8389938894415234
train loss: 4.3336310386657715
train per: 0.8804202719406675
train loss: 4.089190483093262
train per: 0.8614871714008966
train loss: 4.202045917510986
train per: 0.8666129965533724
train loss: 4.019932746887207
train per: 0.8593356404642513
train loss: 4.0342817306518555
train per: 0.855167034966853
train loss: 4.267035484313965
train per: 0.8734696869730958
train loss: 4.372193336486816
train per: 0.8618128157670952
train loss: 3.9751503467559814
train per: 0.8428150997613144
train loss: 4.240141868591309
train per: 0.8494914254827772
train loss: 3.988009214401245
train per: 0.8601714244555954
train loss: 3.9668612480163574
train per: 0.870722528225706
train loss: 4.076128959655762
train per: 0.860708171907379
train loss: 4.12127685546875
train per: 0.8537204887569851
train loss: 3.9988417625427246
train per: 0.858436645774084
train loss: 4.018291473388672
train per: 0.8765958489548874
train loss: 3.9657504558563232
train per: 0.8491371397099321
train loss: 4.031289100646973
train per: 0.8618531273268801
train loss: 4.3378987312316895
train per: 0.8793743028353525
train loss: 4.210605144500732
train per: 0.840765794511806
train loss: 4.223934173583984
train per: 0.8588876467300167
train loss: 3.9407260417938232
train per: 0.8623700846458802
train loss: 4.12899112701416
train per: 0.8473187484788663
train loss: 4.108439922332764
train per: 0.843512727459913
train loss: 4.075285911560059
train per: 0.827928507136428
train loss: 4.004324913024902
train per: 0.8622531817943749
train loss: 3.9512290954589844
train per: 0.8469191517731224
train loss: 4.0203938484191895
train per: 0.8484176825514099
train loss: 3.9900670051574707
train per: 0.844025853180092
train loss: 4.133398532867432
train per: 0.8439229207796902
train loss: 3.9797604084014893
train per: 0.8423861160747069
train loss: 4.01968240737915
train per: 0.8366409275697
train loss: 4.020580291748047
train per: 0.8338464475788168
train loss: 3.97602915763855
train per: 0.8288869556812141
train loss: 4.119953155517578
train per: 0.8482881912132046
train loss: 4.204888820648193
train per: 0.8353756852628185
train loss: 4.045456886291504
train per: 0.8350248900488135
train loss: 4.096573352813721
train per: 0.8387280471971026
train loss: 3.9610018730163574
train per: 0.8350483832900637
train loss: 3.7937722206115723
train per: 0.8364560677131102
train loss: 4.120199680328369
train per: 0.8324901774479341
train loss: 3.95902943611145
train per: 0.8312627850122237
train loss: 3.924717426300049
train per: 0.8323889810208218
train loss: 4.0913190841674805
train per: 0.8349064741109495
train loss: 3.963573932647705
train per: 0.8347950599606229
train loss: 4.007204532623291
train per: 0.8294711690185294
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 500/2703 [00:00<00:00, 4979.16it/s]


word -> phonemes:  37%|███▋      | 998/2703 [00:00<00:00, 4672.55it/s]


word -> phonemes:  54%|█████▍    | 1467/2703 [00:00<00:00, 4472.47it/s]


word -> phonemes:  74%|███████▎  | 1988/2703 [00:00<00:00, 4747.44it/s]


word -> phonemes:  93%|█████████▎| 2509/2703 [00:00<00:00, 4907.04it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4757.66it/s]



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overall:  47%|████▋     | 1899/4000 [17:26<17:25,  2.01it/s]

train:  54%|█████▍    | 1899/3515 [17:24<13:23,  2.01it/s]
overall:  48%|████▊     | 1900/4000 [17:27<17:31,  2.00it/s]

train:  54%|█████▍    | 1900/3515 [17:24<13:28,  2.00it/s]
overall:  48%|████▊     | 1901/4000 [17:27<19:32,  1.79it/s]

train:  54%|█████▍    | 1901/3515 [17:25<15:01,  1.79it/s]
overall:  48%|████▊     | 1902/4000 [17:28<18:42,  1.87it/s]

train:  54%|█████▍    | 1902/3515 [17:26<14:22,  1.87it/s]
overall:  48%|████▊     | 1903/4000 [17:28<18:48,  1.86it/s]

train:  54%|█████▍    | 1903/3515 [17:26<14:27,  1.86it/s]
overall:  48%|████▊     | 1904/4000 [17:29<18:20,  1.90it/s]

train:  54%|█████▍    | 1904/3515 [17:27<14:05,  1.90it/s]
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train:  54%|█████▍    | 1905/3515 [17:27<13:41,  1.96it/s]
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train:  54%|█████▍    | 1906/3515 [17:28<13:24,  2.00it/s]
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train:  54%|█████▍    | 1908/3515 [17:28<11:28,  2.34it/s]
overall:  48%|████▊     | 1909/4000 [17:31<15:30,  2.25it/s]

train:  54%|█████▍    | 1909/3515 [17:29<11:54,  2.25it/s]
overall:  48%|████▊     | 1910/4000 [17:31<15:58,  2.18it/s]

train:  54%|█████▍    | 1910/3515 [17:29<12:15,  2.18it/s]
overall:  48%|████▊     | 1911/4000 [17:32<15:48,  2.20it/s]

train:  54%|█████▍    | 1911/3515 [17:30<12:08,  2.20it/s]
overall:  48%|████▊     | 1912/4000 [17:32<15:07,  2.30it/s]

train:  54%|█████▍    | 1912/3515 [17:30<11:37,  2.30it/s]
overall:  48%|████▊     | 1913/4000 [17:33<15:51,  2.19it/s]

train:  54%|█████▍    | 1913/3515 [17:30<12:10,  2.19it/s]
overall:  48%|████▊     | 1914/4000 [17:33<16:22,  2.12it/s]

train:  54%|█████▍    | 1914/3515 [17:31<12:33,  2.12it/s]
overall:  48%|████▊     | 1915/4000 [17:33<14:09,  2.46it/s]

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overall:  48%|████▊     | 1916/4000 [17:34<15:04,  2.30it/s]

train:  55%|█████▍    | 1916/3515 [17:32<11:34,  2.30it/s]
overall:  48%|████▊     | 1917/4000 [17:34<15:49,  2.19it/s]

train:  55%|█████▍    | 1917/3515 [17:32<12:08,  2.19it/s]
overall:  48%|████▊     | 1918/4000 [17:35<15:42,  2.21it/s]

train:  55%|█████▍    | 1918/3515 [17:33<12:02,  2.21it/s]
overall:  48%|████▊     | 1919/4000 [17:35<16:10,  2.15it/s]

train:  55%|█████▍    | 1919/3515 [17:33<12:23,  2.15it/s]
overall:  48%|████▊     | 1920/4000 [17:36<16:43,  2.07it/s]

train:  55%|█████▍    | 1920/3515 [17:34<12:51,  2.07it/s]
overall:  48%|████▊     | 1921/4000 [17:36<14:49,  2.34it/s]

train:  55%|█████▍    | 1921/3515 [17:34<11:21,  2.34it/s]
overall:  48%|████▊     | 1922/4000 [17:37<16:24,  2.11it/s]

train:  55%|█████▍    | 1922/3515 [17:35<12:34,  2.11it/s]
overall:  48%|████▊     | 1923/4000 [17:37<16:42,  2.07it/s]

train:  55%|█████▍    | 1923/3515 [17:35<12:48,  2.07it/s]
overall:  48%|████▊     | 1924/4000 [17:38<14:33,  2.38it/s]

train:  55%|█████▍    | 1924/3515 [17:35<11:09,  2.38it/s]
overall:  48%|████▊     | 1925/4000 [17:38<14:04,  2.46it/s]

train:  55%|█████▍    | 1925/3515 [17:36<10:46,  2.46it/s]
overall:  48%|████▊     | 1926/4000 [17:38<11:49,  2.92it/s]

train:  55%|█████▍    | 1926/3515 [17:36<09:03,  2.92it/s]
overall:  48%|████▊     | 1927/4000 [17:39<13:29,  2.56it/s]

train:  55%|█████▍    | 1927/3515 [17:36<10:19,  2.56it/s]
overall:  48%|████▊     | 1928/4000 [17:39<11:42,  2.95it/s]

train:  55%|█████▍    | 1928/3515 [17:37<08:57,  2.95it/s]
overall:  48%|████▊     | 1929/4000 [17:39<12:53,  2.68it/s]

train:  55%|█████▍    | 1929/3515 [17:37<09:52,  2.68it/s]
overall:  48%|████▊     | 1930/4000 [17:40<14:16,  2.42it/s]

train:  55%|█████▍    | 1930/3515 [17:38<10:55,  2.42it/s]
overall:  48%|████▊     | 1931/4000 [17:40<15:29,  2.23it/s]

train:  55%|█████▍    | 1931/3515 [17:38<11:51,  2.23it/s]
overall:  48%|████▊     | 1932/4000 [17:40<12:11,  2.83it/s]

train:  55%|█████▍    | 1932/3515 [17:38<09:20,  2.83it/s]
overall:  48%|████▊     | 1933/4000 [17:41<13:32,  2.55it/s]

train:  55%|█████▍    | 1933/3515 [17:39<10:21,  2.55it/s]
overall:  48%|████▊     | 1934/4000 [17:41<14:08,  2.43it/s]

train:  55%|█████▌    | 1934/3515 [17:39<10:49,  2.43it/s]
overall:  48%|████▊     | 1935/4000 [17:42<14:42,  2.34it/s]

train:  55%|█████▌    | 1935/3515 [17:40<11:14,  2.34it/s]
overall:  48%|████▊     | 1936/4000 [17:42<15:22,  2.24it/s]

train:  55%|█████▌    | 1936/3515 [17:40<11:45,  2.24it/s]
overall:  48%|████▊     | 1937/4000 [17:43<15:44,  2.18it/s]

train:  55%|█████▌    | 1937/3515 [17:41<12:02,  2.18it/s]
overall:  48%|████▊     | 1938/4000 [17:43<13:48,  2.49it/s]

train:  55%|█████▌    | 1938/3515 [17:41<10:33,  2.49it/s]
overall:  48%|████▊     | 1939/4000 [17:44<14:14,  2.41it/s]

train:  55%|█████▌    | 1939/3515 [17:41<10:53,  2.41it/s]
overall:  48%|████▊     | 1940/4000 [17:44<11:58,  2.87it/s]

train:  55%|█████▌    | 1940/3515 [17:42<09:09,  2.87it/s]
overall:  49%|████▊     | 1941/4000 [17:44<13:11,  2.60it/s]

train:  55%|█████▌    | 1941/3515 [17:42<10:04,  2.60it/s]
overall:  49%|████▊     | 1942/4000 [17:44<11:11,  3.07it/s]

train:  55%|█████▌    | 1942/3515 [17:42<08:33,  3.07it/s]
overall:  49%|████▊     | 1943/4000 [17:45<12:45,  2.69it/s]

train:  55%|█████▌    | 1943/3515 [17:43<09:44,  2.69it/s]
overall:  49%|████▊     | 1944/4000 [17:45<14:07,  2.43it/s]

train:  55%|█████▌    | 1944/3515 [17:43<10:47,  2.43it/s]
overall:  49%|████▊     | 1945/4000 [17:46<15:02,  2.28it/s]

train:  55%|█████▌    | 1945/3515 [17:44<11:29,  2.28it/s]
overall:  49%|████▊     | 1946/4000 [17:47<16:46,  2.04it/s]

train:  55%|█████▌    | 1946/3515 [17:44<12:48,  2.04it/s]
overall:  49%|████▊     | 1947/4000 [17:47<17:03,  2.01it/s]

train:  55%|█████▌    | 1947/3515 [17:45<13:01,  2.01it/s]
overall:  49%|████▊     | 1948/4000 [17:47<16:40,  2.05it/s]

train:  55%|█████▌    | 1948/3515 [17:45<12:44,  2.05it/s]
overall:  49%|████▊     | 1949/4000 [17:48<18:05,  1.89it/s]

train:  55%|█████▌    | 1949/3515 [17:46<13:48,  1.89it/s]
overall:  49%|████▉     | 1950/4000 [17:49<17:23,  1.97it/s]

train:  55%|█████▌    | 1950/3515 [17:46<13:16,  1.97it/s]
overall:  49%|████▉     | 1951/4000 [17:49<17:20,  1.97it/s]

train:  56%|█████▌    | 1951/3515 [17:47<13:14,  1.97it/s]
overall:  49%|████▉     | 1952/4000 [17:50<17:20,  1.97it/s]

train:  56%|█████▌    | 1952/3515 [17:47<13:14,  1.97it/s]
overall:  49%|████▉     | 1953/4000 [17:50<16:40,  2.05it/s]

train:  56%|█████▌    | 1953/3515 [17:48<12:43,  2.05it/s]
overall:  49%|████▉     | 1954/4000 [17:51<16:59,  2.01it/s]

train:  56%|█████▌    | 1954/3515 [17:48<12:58,  2.01it/s]
overall:  49%|████▉     | 1955/4000 [17:51<17:35,  1.94it/s]

train:  56%|█████▌    | 1955/3515 [17:49<13:25,  1.94it/s]
overall:  49%|████▉     | 1956/4000 [17:52<16:56,  2.01it/s]

train:  56%|█████▌    | 1956/3515 [17:49<12:55,  2.01it/s]
overall:  49%|████▉     | 1957/4000 [17:52<16:16,  2.09it/s]

train:  56%|█████▌    | 1957/3515 [17:50<12:24,  2.09it/s]
overall:  49%|████▉     | 1958/4000 [17:52<15:50,  2.15it/s]

train:  56%|█████▌    | 1958/3515 [17:50<12:04,  2.15it/s]
overall:  49%|████▉     | 1959/4000 [17:53<14:41,  2.32it/s]

train:  56%|█████▌    | 1959/3515 [17:51<11:12,  2.32it/s]
overall:  49%|████▉     | 1960/4000 [17:53<12:36,  2.70it/s]

train:  56%|█████▌    | 1960/3515 [17:51<09:36,  2.70it/s]
overall:  49%|████▉     | 1961/4000 [17:54<13:59,  2.43it/s]

train:  56%|█████▌    | 1961/3515 [17:51<10:39,  2.43it/s]
overall:  49%|████▉     | 1962/4000 [17:54<15:02,  2.26it/s]

train:  56%|█████▌    | 1962/3515 [17:52<11:27,  2.26it/s]
overall:  49%|████▉     | 1963/4000 [17:55<15:28,  2.19it/s]

train:  56%|█████▌    | 1963/3515 [17:52<11:47,  2.19it/s]
overall:  49%|████▉     | 1964/4000 [17:55<15:40,  2.16it/s]

train:  56%|█████▌    | 1964/3515 [17:53<11:56,  2.16it/s]
overall:  49%|████▉     | 1965/4000 [17:55<15:14,  2.23it/s]

train:  56%|█████▌    | 1965/3515 [17:53<11:36,  2.23it/s]
overall:  49%|████▉     | 1966/4000 [17:56<15:29,  2.19it/s]

train:  56%|█████▌    | 1966/3515 [17:54<11:48,  2.19it/s]
overall:  49%|████▉     | 1967/4000 [17:56<15:59,  2.12it/s]

train:  56%|█████▌    | 1967/3515 [17:54<12:10,  2.12it/s]
overall:  49%|████▉     | 1968/4000 [17:57<16:16,  2.08it/s]

train:  56%|█████▌    | 1968/3515 [17:55<12:23,  2.08it/s]
overall:  49%|████▉     | 1969/4000 [17:57<16:27,  2.06it/s]

train:  56%|█████▌    | 1969/3515 [17:55<12:31,  2.06it/s]
overall:  49%|████▉     | 1970/4000 [17:58<17:31,  1.93it/s]

train:  56%|█████▌    | 1970/3515 [17:56<13:20,  1.93it/s]
overall:  49%|████▉     | 1971/4000 [17:59<17:29,  1.93it/s]

train:  56%|█████▌    | 1971/3515 [17:56<13:18,  1.93it/s]
overall:  49%|████▉     | 1972/4000 [17:59<16:30,  2.05it/s]

train:  56%|█████▌    | 1972/3515 [17:57<12:33,  2.05it/s]
overall:  49%|████▉     | 1973/4000 [17:59<17:14,  1.96it/s]

train:  56%|█████▌    | 1973/3515 [17:57<13:07,  1.96it/s]
overall:  49%|████▉     | 1974/4000 [18:00<17:05,  1.98it/s]

train:  56%|█████▌    | 1974/3515 [17:58<12:59,  1.98it/s]
overall:  49%|████▉     | 1975/4000 [18:00<16:57,  1.99it/s]

train:  56%|█████▌    | 1975/3515 [17:58<12:53,  1.99it/s]
overall:  49%|████▉     | 1976/4000 [18:01<16:52,  2.00it/s]

train:  56%|█████▌    | 1976/3515 [17:59<12:50,  2.00it/s]
overall:  49%|████▉     | 1977/4000 [18:01<13:22,  2.52it/s]

train:  56%|█████▌    | 1977/3515 [17:59<10:09,  2.52it/s]
overall:  49%|████▉     | 1978/4000 [18:02<14:17,  2.36it/s]

train:  56%|█████▋    | 1978/3515 [17:59<10:51,  2.36it/s]
overall:  49%|████▉     | 1979/4000 [18:02<15:33,  2.16it/s]

train:  56%|█████▋    | 1979/3515 [18:00<11:49,  2.16it/s]
overall:  50%|████▉     | 1980/4000 [18:03<15:57,  2.11it/s]

train:  56%|█████▋    | 1980/3515 [18:00<12:07,  2.11it/s]
overall:  50%|████▉     | 1981/4000 [18:03<12:18,  2.74it/s]

train:  56%|█████▋    | 1981/3515 [18:01<09:20,  2.74it/s]
overall:  50%|████▉     | 1982/4000 [18:03<13:42,  2.45it/s]

train:  56%|█████▋    | 1982/3515 [18:01<10:25,  2.45it/s]
overall:  50%|████▉     | 1983/4000 [18:04<13:49,  2.43it/s]

train:  56%|█████▋    | 1983/3515 [18:02<10:29,  2.43it/s]
overall:  50%|████▉     | 1984/4000 [18:04<14:27,  2.32it/s]

train:  56%|█████▋    | 1984/3515 [18:02<10:58,  2.32it/s]
overall:  50%|████▉     | 1985/4000 [18:05<15:13,  2.21it/s]

train:  56%|█████▋    | 1985/3515 [18:03<11:33,  2.21it/s]
overall:  50%|████▉     | 1986/4000 [18:05<12:51,  2.61it/s]

train:  57%|█████▋    | 1986/3515 [18:03<09:45,  2.61it/s]
overall:  50%|████▉     | 1987/4000 [18:05<13:41,  2.45it/s]

train:  57%|█████▋    | 1987/3515 [18:03<10:23,  2.45it/s]
overall:  50%|████▉     | 1988/4000 [18:06<14:31,  2.31it/s]

train:  57%|█████▋    | 1988/3515 [18:04<11:01,  2.31it/s]
overall:  50%|████▉     | 1989/4000 [18:06<15:07,  2.22it/s]

train:  57%|█████▋    | 1989/3515 [18:04<11:28,  2.22it/s]
overall:  50%|████▉     | 1990/4000 [18:07<15:41,  2.14it/s]

train:  57%|█████▋    | 1990/3515 [18:05<11:54,  2.14it/s]
overall:  50%|████▉     | 1991/4000 [18:07<16:05,  2.08it/s]

train:  57%|█████▋    | 1991/3515 [18:05<12:12,  2.08it/s]
overall:  50%|████▉     | 1992/4000 [18:08<16:03,  2.08it/s]

train:  57%|█████▋    | 1992/3515 [18:06<12:10,  2.08it/s]
overall:  50%|████▉     | 1993/4000 [18:08<16:19,  2.05it/s]

train:  57%|█████▋    | 1993/3515 [18:06<12:23,  2.05it/s]
overall:  50%|████▉     | 1994/4000 [18:09<17:43,  1.89it/s]

train:  57%|█████▋    | 1994/3515 [18:07<13:26,  1.89it/s]
overall:  50%|████▉     | 1995/4000 [18:10<17:37,  1.90it/s]

train:  57%|█████▋    | 1995/3515 [18:07<13:22,  1.90it/s]
overall:  50%|████▉     | 1996/4000 [18:10<16:52,  1.98it/s]

train:  57%|█████▋    | 1996/3515 [18:08<12:47,  1.98it/s]
overall:  50%|████▉     | 1997/4000 [18:11<18:26,  1.81it/s]

train:  57%|█████▋    | 1997/3515 [18:08<13:58,  1.81it/s]
overall:  50%|████▉     | 1998/4000 [18:11<17:45,  1.88it/s]

train:  57%|█████▋    | 1998/3515 [18:09<13:27,  1.88it/s]
overall:  50%|████▉     | 1999/4000 [18:12<17:33,  1.90it/s]

train:  57%|█████▋    | 1999/3515 [18:09<13:18,  1.90it/s]dev loss: 4.382564067840576
dev per: 0.8641727367325702
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 4.0244975090026855
train per: 0.8348973607038123
train loss: 3.9730498790740967
train per: 0.8313047596495382
train loss: 3.9321510791778564
train per: 0.8277225459947435
train loss: 3.9245216846466064
train per: 0.8426902462518833
train loss: 4.0649614334106445
train per: 0.8297098948627695
train loss: 3.9651436805725098
train per: 0.8363031233998975
train loss: 3.9616920948028564
train per: 0.8290281361962268
train loss: 3.933758497238159
train per: 0.8401230399879961
train loss: 4.174986362457275
train per: 0.8409425625920471
train loss: 4.024552345275879
train per: 0.8347373114015534
train loss: 3.9000258445739746
train per: 0.8376393110435664
train loss: 3.9572482109069824
train per: 0.8366640087710555
train loss: 3.9895825386047363
train per: 0.8398210175102812
train loss: 4.038249492645264
train per: 0.834010668021336
train loss: 3.905475616455078
train per: 0.8406993686255464
train loss: 3.9026694297790527
train per: 0.834597447855276
train loss: 3.950302839279175
train per: 0.8329010205813192
train loss: 3.898484468460083
train per: 0.829386222274381
train loss: 3.892155170440674
train per: 0.8249413643395379
train loss: 3.898820400238037
train per: 0.8439097892942716
train loss: 4.092991828918457
train per: 0.8519566727558082
train loss: 4.130476951599121
train per: 0.8345972278023303
train loss: 3.84631609916687
train per: 0.8290733674130607
train loss: 3.9727158546447754
train per: 0.8236006615266358
train loss: 3.8311851024627686
train per: 0.8356800287245775
train loss: 4.07029914855957
train per: 0.847282666383611
train loss: 3.8368773460388184
train per: 0.8414284942460425
train loss: 3.9529216289520264
train per: 0.82900973684825
train loss: 4.002730846405029
train per: 0.8335142748158798
train loss: 3.905817747116089
train per: 0.8315511149589349
train loss: 4.236459255218506
train per: 0.841745531019979
train loss: 4.030163764953613
train per: 0.8516433919184411
train loss: 4.109658241271973
train per: 0.8281910803537101
train loss: 3.9745521545410156
train per: 0.8344243631706276
train loss: 3.9832661151885986
train per: 0.828315843798383
train loss: 3.9467437267303467
train per: 0.8287382956587535
train loss: 3.9355666637420654
train per: 0.8287564399489531
train loss: 3.9937222003936768
train per: 0.8356754538927069
train loss: 3.9866321086883545
train per: 0.822032590240568
train loss: 3.9967002868652344
train per: 0.8274015527078852
train loss: 3.9244415760040283
train per: 0.8308000944064197
train loss: 4.004566669464111
train per: 0.8301495313729699
train loss: 3.909278154373169
train per: 0.8210035633446136
train loss: 3.953673839569092
train per: 0.8372878865790053
train loss: 3.921311140060425
train per: 0.831433264093522
train loss: 4.004955768585205
train per: 0.828926616569255
train loss: 3.96968412399292
train per: 0.8362196020633751
train loss: 3.991903781890869
train per: 0.8507700093991758
train loss: 4.093278884887695
train per: 0.8255994165375148
train loss: 3.951193332672119
train per: 0.8288370939747086
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 496/2703 [00:00<00:00, 4952.31it/s]


word -> phonemes:  37%|███▋      | 999/2703 [00:00<00:00, 4994.81it/s]


word -> phonemes:  55%|█████▌    | 1499/2703 [00:00<00:00, 4863.24it/s]


word -> phonemes:  73%|███████▎  | 1986/2703 [00:00<00:00, 4522.01it/s]


word -> phonemes:  93%|█████████▎| 2510/2703 [00:00<00:00, 4765.91it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4753.13it/s]



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overall:  74%|███████▎  | 2941/4000 [28:11<08:50,  2.00it/s]

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overall:  74%|███████▎  | 2943/4000 [28:12<08:48,  2.00it/s]

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train:  84%|████████▍ | 2954/3515 [28:14<04:19,  2.16it/s]
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overall:  74%|███████▍  | 2960/4000 [28:19<07:05,  2.44it/s]

train:  84%|████████▍ | 2960/3515 [28:17<03:47,  2.44it/s]
overall:  74%|███████▍  | 2961/4000 [28:20<07:02,  2.46it/s]

train:  84%|████████▍ | 2961/3515 [28:18<03:45,  2.46it/s]
overall:  74%|███████▍  | 2962/4000 [28:20<07:21,  2.35it/s]

train:  84%|████████▍ | 2962/3515 [28:18<03:55,  2.35it/s]
overall:  74%|███████▍  | 2963/4000 [28:21<08:24,  2.05it/s]

train:  84%|████████▍ | 2963/3515 [28:19<04:28,  2.05it/s]
overall:  74%|███████▍  | 2964/4000 [28:21<08:22,  2.06it/s]

train:  84%|████████▍ | 2964/3515 [28:19<04:27,  2.06it/s]
overall:  74%|███████▍  | 2965/4000 [28:22<08:24,  2.05it/s]

train:  84%|████████▍ | 2965/3515 [28:20<04:28,  2.05it/s]
overall:  74%|███████▍  | 2966/4000 [28:22<08:17,  2.08it/s]

train:  84%|████████▍ | 2966/3515 [28:20<04:24,  2.08it/s]
overall:  74%|███████▍  | 2967/4000 [28:23<08:12,  2.10it/s]

train:  84%|████████▍ | 2967/3515 [28:21<04:21,  2.10it/s]
overall:  74%|███████▍  | 2968/4000 [28:23<08:11,  2.10it/s]

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train:  85%|████████▌ | 2993/3515 [28:33<03:36,  2.41it/s]
overall:  75%|███████▍  | 2994/4000 [28:35<07:03,  2.38it/s]

train:  85%|████████▌ | 2994/3515 [28:33<03:39,  2.38it/s]
overall:  75%|███████▍  | 2995/4000 [28:36<07:23,  2.27it/s]

train:  85%|████████▌ | 2995/3515 [28:33<03:49,  2.27it/s]
overall:  75%|███████▍  | 2996/4000 [28:36<07:34,  2.21it/s]

train:  85%|████████▌ | 2996/3515 [28:34<03:54,  2.21it/s]
overall:  75%|███████▍  | 2997/4000 [28:36<06:08,  2.72it/s]

train:  85%|████████▌ | 2997/3515 [28:34<03:10,  2.72it/s]
overall:  75%|███████▍  | 2998/4000 [28:37<05:28,  3.05it/s]

train:  85%|████████▌ | 2998/3515 [28:34<02:49,  3.05it/s]
overall:  75%|███████▍  | 2999/4000 [28:37<06:09,  2.71it/s]

train:  85%|████████▌ | 2999/3515 [28:35<03:10,  2.71it/s]dev loss: 4.677313327789307
dev per: 0.8453798126951093
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.8471169471740723
train per: 0.816076767957722
train loss: 4.028170585632324
train per: 0.8376332648972221
train loss: 3.8376755714416504
train per: 0.8326854340055833
train loss: 4.311323642730713
train per: 0.8460967003033493
train loss: 3.9321320056915283
train per: 0.8243120881332059
train loss: 4.07344913482666
train per: 0.8377525900092317
train loss: 3.99763822555542
train per: 0.844157981349424
train loss: 3.9427952766418457
train per: 0.8282645789420857
train loss: 3.8898749351501465
train per: 0.846330402079531
train loss: 3.8910090923309326
train per: 0.8289140638439043
train loss: 3.9905381202697754
train per: 0.8348695674133185
train loss: 4.0316643714904785
train per: 0.839899082809913
train loss: 3.932589292526245
train per: 0.8257594951286362
train loss: 3.873000383377075
train per: 0.8285033944675245
train loss: 3.9431471824645996
train per: 0.8371359421314551
train loss: 3.9217212200164795
train per: 0.8353172494420236
train loss: 3.870087146759033
train per: 0.8347758068178951
train loss: 3.9024014472961426
train per: 0.8233411563900149
train loss: 4.02738094329834
train per: 0.8200383617285344
train loss: 3.918769121170044
train per: 0.8351766637065741
train loss: 4.148368835449219
train per: 0.8305168130273288
train loss: 4.020967960357666
train per: 0.8405187153115712
train loss: 3.9109866619110107
train per: 0.8207055971991561
train loss: 3.8900558948516846
train per: 0.8260512324794587
train loss: 4.135100364685059
train per: 0.8321396015106134
train loss: 3.9076976776123047
train per: 0.8315365927725479
train loss: 3.9478402137756348
train per: 0.8290538243626062
train loss: 4.142590045928955
train per: 0.8426625532693666
train loss: 4.0120320320129395
train per: 0.8222519376965555
train loss: 4.143529415130615
train per: 0.8626880280239028
train loss: 4.114657878875732
train per: 0.8251194168383401
train loss: 4.151635646820068
train per: 0.8462976450594805
train loss: 4.086068630218506
train per: 0.8449619704711894
train loss: 3.966026782989502
train per: 0.8380045301967634
train loss: 4.062060356140137
train per: 0.8226446573472534
train loss: 3.8495419025421143
train per: 0.8343211895150988
train loss: 4.069719314575195
train per: 0.8245937134466539
train loss: 3.870534896850586
train per: 0.8311414034750888
train loss: 3.89216947555542
train per: 0.8385470018123079
train loss: 3.8675169944763184
train per: 0.8420013666388277
train loss: 4.0704450607299805
train per: 0.8264771170830775
train loss: 3.9542508125305176
train per: 0.8354918285538082
train loss: 3.8526501655578613
train per: 0.8343966410382245
train loss: 3.9899535179138184
train per: 0.8303693917991972
train loss: 3.876277446746826
train per: 0.8273158654838044
train loss: 3.9653592109680176
train per: 0.8374622356495468
train loss: 4.005776405334473
train per: 0.8293355869851607
train loss: 3.8938045501708984
train per: 0.8177209663335597
train loss: 3.9695372581481934
train per: 0.8312098740855024
train loss: 4.172314167022705
train per: 0.8311788045565084
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 461/2703 [00:00<00:00, 4602.77it/s]


word -> phonemes:  35%|███▌      | 957/2703 [00:00<00:00, 4811.00it/s]


word -> phonemes:  53%|█████▎    | 1439/2703 [00:00<00:00, 4566.74it/s]


word -> phonemes:  71%|███████   | 1914/2703 [00:00<00:00, 4633.63it/s]


word -> phonemes:  88%|████████▊ | 2379/2703 [00:00<00:00, 4632.00it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4644.95it/s]



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


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dev:   2%|▏         | 64/2703 [00:06<03:22, 13.04it/s]


dev:   2%|▏         | 66/2703 [00:06<03:18, 13.25it/s]


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train: 100%|██████████| 3515/3515 [35:19<00:00,  2.06it/s]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 [35:19<00:00,  1.66it/s]
dev loss: 4.254735469818115
dev per: 0.8730801248699271
train loss: 3.9812915325164795
train per: 0.8255332542430331
train loss: 3.8300697803497314
train per: 0.8167964094631944
train loss: 3.9210712909698486
train per: 0.8435765999048777
train loss: 3.9671313762664795
train per: 0.8369778839216857
train loss: 4.085008144378662
train per: 0.8227187252573238
train loss: 3.8538715839385986
train per: 0.8259165154264972
train loss: 3.9736359119415283
train per: 0.8309751628664495
train loss: 3.940425395965576
train per: 0.8382735574715576
train loss: 3.9284145832061768
train per: 0.8343704488282802
train loss: 4.104392051696777
train per: 0.8199074987396155
train loss: 3.95048451423645
train per: 0.8433964259278841
train loss: 3.938281297683716
train per: 0.8255846219822911
train loss: 4.040344715118408
train per: 0.8243414863593603
train loss: 3.8184256553649902
train per: 0.8392473260967648
train loss: 3.8650918006896973
train per: 0.8266791801948052
train loss: 3.8607330322265625
train per: 0.8516858785735496
train loss: 3.881211042404175
train per: 0.8317327550598926
train loss: 3.908054828643799
train per: 0.8174483223661264
train loss: 3.9202778339385986
train per: 0.8339510572582561
train loss: 3.917222261428833
train per: 0.8172264055065367
train loss: 3.8796322345733643
train per: 0.8268577544088223
train loss: 3.937404155731201
train per: 0.8239766641162969
train loss: 3.9391849040985107
train per: 0.8212003568758892
train loss: 3.8743653297424316
train per: 0.843721650034687
train loss: 4.028840065002441
train per: 0.8417643610785464
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 438/3515 [00:00<00:00, 4376.86it/s]

word -> phonemes:  25%|██▍       | 876/3515 [00:00<00:00, 4284.95it/s]

word -> phonemes:  37%|███▋      | 1307/3515 [00:00<00:00, 4294.68it/s]

word -> phonemes:  50%|████▉     | 1751/3515 [00:00<00:00, 4347.47it/s]

word -> phonemes:  63%|██████▎   | 2209/3515 [00:00<00:00, 4430.55it/s]

word -> phonemes:  76%|███████▌  | 2654/3515 [00:00<00:00, 4435.79it/s]

word -> phonemes:  88%|████████▊ | 3098/3515 [00:00<00:00, 4111.13it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4282.01it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [35:25<12:11,  1.51s/it]

train:   0%|          | 1/3515 [00:01<1:48:39,  1.86s/it]
overall:  88%|████████▊ | 3517/4000 [35:25<08:57,  1.11s/it]

train:   0%|          | 2/3515 [00:02<50:56,  1.15it/s]  
overall:  88%|████████▊ | 3518/4000 [35:26<07:21,  1.09it/s]

train:   0%|          | 3/3515 [00:02<39:53,  1.47it/s]
overall:  88%|████████▊ | 3519/4000 [35:26<06:21,  1.26it/s]

train:   0%|          | 4/3515 [00:03<35:53,  1.63it/s]
overall:  88%|████████▊ | 3520/4000 [35:27<05:22,  1.49it/s]

train:   0%|          | 5/3515 [00:03<31:12,  1.87it/s]
overall:  88%|████████▊ | 3521/4000 [35:27<04:39,  1.72it/s]

train:   0%|          | 6/3515 [00:03<27:57,  2.09it/s]
overall:  88%|████████▊ | 3522/4000 [35:27<03:39,  2.17it/s]

train:   0%|          | 7/3515 [00:03<22:07,  2.64it/s]
overall:  88%|████████▊ | 3523/4000 [35:28<03:56,  2.01it/s]

train:   0%|          | 8/3515 [00:04<25:54,  2.26it/s]
overall:  88%|████████▊ | 3524/4000 [35:28<03:59,  1.99it/s]

train:   0%|          | 9/3515 [00:05<27:15,  2.14it/s]
overall:  88%|████████▊ | 3525/4000 [35:29<03:37,  2.18it/s]

train:   0%|          | 10/3515 [00:05<25:14,  2.31it/s]
overall:  88%|████████▊ | 3526/4000 [35:29<02:57,  2.67it/s]

train:   0%|          | 11/3515 [00:05<20:41,  2.82it/s]
overall:  88%|████████▊ | 3527/4000 [35:29<03:13,  2.44it/s]

train:   0%|          | 12/3515 [00:06<23:06,  2.53it/s]
overall:  88%|████████▊ | 3528/4000 [35:30<03:08,  2.51it/s]

train:   0%|          | 13/3515 [00:06<22:41,  2.57it/s]
overall:  88%|████████▊ | 3529/4000 [35:30<03:21,  2.34it/s]

train:   0%|          | 14/3515 [00:06<24:34,  2.37it/s]
overall:  88%|████████▊ | 3530/4000 [35:31<03:17,  2.38it/s]

train:   0%|          | 15/3515 [00:07<24:16,  2.40it/s]
overall:  88%|████████▊ | 3531/4000 [35:31<03:21,  2.33it/s]

train:   0%|          | 16/3515 [00:07<24:53,  2.34it/s]
overall:  88%|████████▊ | 3532/4000 [35:32<03:28,  2.24it/s]

train:   0%|          | 17/3515 [00:08<25:53,  2.25it/s]
overall:  88%|████████▊ | 3533/4000 [35:32<03:20,  2.33it/s]

train:   1%|          | 18/3515 [00:08<24:58,  2.33it/s]
overall:  88%|████████▊ | 3534/4000 [35:32<03:29,  2.22it/s]

train:   1%|          | 19/3515 [00:09<26:09,  2.23it/s]
overall:  88%|████████▊ | 3535/4000 [35:33<03:40,  2.11it/s]

train:   1%|          | 20/3515 [00:09<27:31,  2.12it/s]
overall:  88%|████████▊ | 3536/4000 [35:33<03:39,  2.11it/s]

train:   1%|          | 21/3515 [00:10<27:31,  2.12it/s]
overall:  88%|████████▊ | 3537/4000 [35:34<02:57,  2.62it/s]

train:   1%|          | 22/3515 [00:10<22:14,  2.62it/s]
overall:  88%|████████▊ | 3538/4000 [35:34<03:08,  2.45it/s]

train:   1%|          | 23/3515 [00:10<23:44,  2.45it/s]
overall:  88%|████████▊ | 3539/4000 [35:35<03:20,  2.30it/s]

train:   1%|          | 24/3515 [00:11<25:16,  2.30it/s]
overall:  88%|████████▊ | 3540/4000 [35:35<03:40,  2.09it/s]

train:   1%|          | 25/3515 [00:11<27:52,  2.09it/s]
overall:  89%|████████▊ | 3541/4000 [35:36<03:44,  2.05it/s]

train:   1%|          | 26/3515 [00:12<28:23,  2.05it/s]
overall:  89%|████████▊ | 3542/4000 [35:36<03:41,  2.07it/s]

train:   1%|          | 27/3515 [00:12<28:06,  2.07it/s]
overall:  89%|████████▊ | 3543/4000 [35:36<03:00,  2.53it/s]

train:   1%|          | 28/3515 [00:13<22:59,  2.53it/s]
overall:  89%|████████▊ | 3544/4000 [35:37<03:14,  2.34it/s]

train:   1%|          | 29/3515 [00:13<24:46,  2.34it/s]
overall:  89%|████████▊ | 3545/4000 [35:37<02:39,  2.85it/s]

train:   1%|          | 30/3515 [00:13<20:23,  2.85it/s]
overall:  89%|████████▊ | 3546/4000 [35:38<03:01,  2.51it/s]

train:   1%|          | 31/3515 [00:14<23:09,  2.51it/s]
overall:  89%|████████▊ | 3547/4000 [35:38<03:20,  2.26it/s]

train:   1%|          | 32/3515 [00:14<25:44,  2.26it/s]
overall:  89%|████████▊ | 3548/4000 [35:39<03:26,  2.19it/s]

train:   1%|          | 33/3515 [00:15<26:27,  2.19it/s]
overall:  89%|████████▊ | 3549/4000 [35:39<03:27,  2.17it/s]

train:   1%|          | 34/3515 [00:15<26:44,  2.17it/s]
overall:  89%|████████▉ | 3550/4000 [35:39<03:21,  2.23it/s]

train:   1%|          | 35/3515 [00:16<25:58,  2.23it/s]
overall:  89%|████████▉ | 3551/4000 [35:40<03:28,  2.15it/s]

train:   1%|          | 36/3515 [00:16<26:58,  2.15it/s]
overall:  89%|████████▉ | 3552/4000 [35:41<03:41,  2.02it/s]

train:   1%|          | 37/3515 [00:17<28:38,  2.02it/s]
overall:  89%|████████▉ | 3553/4000 [35:41<03:41,  2.01it/s]

train:   1%|          | 38/3515 [00:17<28:46,  2.01it/s]
overall:  89%|████████▉ | 3554/4000 [35:42<03:40,  2.02it/s]

train:   1%|          | 39/3515 [00:18<28:41,  2.02it/s]
overall:  89%|████████▉ | 3555/4000 [35:42<02:58,  2.49it/s]

train:   1%|          | 40/3515 [00:18<23:16,  2.49it/s]
overall:  89%|████████▉ | 3556/4000 [35:42<03:06,  2.38it/s]

train:   1%|          | 41/3515 [00:18<24:17,  2.38it/s]
overall:  89%|████████▉ | 3557/4000 [35:43<03:13,  2.28it/s]

train:   1%|          | 42/3515 [00:19<25:19,  2.28it/s]
overall:  89%|████████▉ | 3558/4000 [35:43<03:19,  2.21it/s]

train:   1%|          | 43/3515 [00:19<26:08,  2.21it/s]
overall:  89%|████████▉ | 3559/4000 [35:43<02:57,  2.49it/s]

train:   1%|▏         | 44/3515 [00:20<23:15,  2.49it/s]
overall:  89%|████████▉ | 3560/4000 [35:44<03:08,  2.33it/s]

train:   1%|▏         | 45/3515 [00:20<24:50,  2.33it/s]
overall:  89%|████████▉ | 3561/4000 [35:44<03:17,  2.22it/s]

train:   1%|▏         | 46/3515 [00:21<26:01,  2.22it/s]
overall:  89%|████████▉ | 3562/4000 [35:45<03:23,  2.15it/s]

train:   1%|▏         | 47/3515 [00:21<26:54,  2.15it/s]
overall:  89%|████████▉ | 3563/4000 [35:45<02:57,  2.46it/s]

train:   1%|▏         | 48/3515 [00:21<23:31,  2.46it/s]
overall:  89%|████████▉ | 3564/4000 [35:46<03:25,  2.12it/s]

train:   1%|▏         | 49/3515 [00:22<27:13,  2.12it/s]
overall:  89%|████████▉ | 3565/4000 [35:46<02:54,  2.50it/s]

train:   1%|▏         | 50/3515 [00:22<23:06,  2.50it/s]
overall:  89%|████████▉ | 3566/4000 [35:47<03:07,  2.32it/s]

train:   1%|▏         | 51/3515 [00:23<24:54,  2.32it/s]
overall:  89%|████████▉ | 3567/4000 [35:47<03:10,  2.28it/s]

train:   1%|▏         | 52/3515 [00:23<25:20,  2.28it/s]
overall:  89%|████████▉ | 3568/4000 [35:47<02:34,  2.79it/s]

train:   2%|▏         | 53/3515 [00:23<20:40,  2.79it/s]
overall:  89%|████████▉ | 3569/4000 [35:48<02:48,  2.55it/s]

train:   2%|▏         | 54/3515 [00:24<22:34,  2.55it/s]
overall:  89%|████████▉ | 3570/4000 [35:48<02:57,  2.42it/s]

train:   2%|▏         | 55/3515 [00:24<23:52,  2.42it/s]
overall:  89%|████████▉ | 3571/4000 [35:49<03:12,  2.23it/s]

train:   2%|▏         | 56/3515 [00:25<25:53,  2.23it/s]
overall:  89%|████████▉ | 3572/4000 [35:49<03:18,  2.16it/s]

train:   2%|▏         | 57/3515 [00:25<26:43,  2.16it/s]
overall:  89%|████████▉ | 3573/4000 [35:50<03:19,  2.14it/s]

train:   2%|▏         | 58/3515 [00:26<26:51,  2.14it/s]
overall:  89%|████████▉ | 3574/4000 [35:50<03:21,  2.11it/s]

train:   2%|▏         | 59/3515 [00:26<27:17,  2.11it/s]
overall:  89%|████████▉ | 3575/4000 [35:51<03:21,  2.11it/s]

train:   2%|▏         | 60/3515 [00:27<27:15,  2.11it/s]
overall:  89%|████████▉ | 3576/4000 [35:51<03:39,  1.93it/s]

train:   2%|▏         | 61/3515 [00:27<29:47,  1.93it/s]
overall:  89%|████████▉ | 3577/4000 [35:52<03:29,  2.02it/s]

train:   2%|▏         | 62/3515 [00:28<28:30,  2.02it/s]
overall:  89%|████████▉ | 3578/4000 [35:52<03:28,  2.02it/s]

train:   2%|▏         | 63/3515 [00:28<28:28,  2.02it/s]
overall:  89%|████████▉ | 3579/4000 [35:53<03:30,  2.00it/s]

train:   2%|▏         | 64/3515 [00:29<28:44,  2.00it/s]
overall:  90%|████████▉ | 3580/4000 [35:53<03:29,  2.00it/s]

train:   2%|▏         | 65/3515 [00:29<28:44,  2.00it/s]
overall:  90%|████████▉ | 3581/4000 [35:54<03:27,  2.02it/s]

train:   2%|▏         | 66/3515 [00:30<28:30,  2.02it/s]
overall:  90%|████████▉ | 3582/4000 [35:54<03:28,  2.01it/s]

train:   2%|▏         | 67/3515 [00:30<28:38,  2.01it/s]
overall:  90%|████████▉ | 3583/4000 [35:55<03:30,  1.98it/s]

train:   2%|▏         | 68/3515 [00:31<28:58,  1.98it/s]
overall:  90%|████████▉ | 3584/4000 [35:55<02:55,  2.37it/s]

train:   2%|▏         | 69/3515 [00:31<24:13,  2.37it/s]
overall:  90%|████████▉ | 3585/4000 [35:55<02:15,  3.07it/s]

train:   2%|▏         | 70/3515 [00:31<18:41,  3.07it/s]
overall:  90%|████████▉ | 3586/4000 [35:55<02:34,  2.68it/s]

train:   2%|▏         | 71/3515 [00:32<21:25,  2.68it/s]
overall:  90%|████████▉ | 3587/4000 [35:56<02:46,  2.49it/s]

train:   2%|▏         | 72/3515 [00:32<23:05,  2.49it/s]
overall:  90%|████████▉ | 3588/4000 [35:57<03:13,  2.12it/s]

train:   2%|▏         | 73/3515 [00:33<27:00,  2.12it/s]
overall:  90%|████████▉ | 3589/4000 [35:57<03:18,  2.07it/s]

train:   2%|▏         | 74/3515 [00:33<27:44,  2.07it/s]
overall:  90%|████████▉ | 3590/4000 [35:58<03:20,  2.05it/s]

train:   2%|▏         | 75/3515 [00:34<28:01,  2.05it/s]
overall:  90%|████████▉ | 3591/4000 [35:58<03:12,  2.13it/s]

train:   2%|▏         | 76/3515 [00:34<26:58,  2.13it/s]
overall:  90%|████████▉ | 3592/4000 [35:58<03:03,  2.23it/s]

train:   2%|▏         | 77/3515 [00:35<25:42,  2.23it/s]
overall:  90%|████████▉ | 3593/4000 [35:59<03:11,  2.13it/s]

train:   2%|▏         | 78/3515 [00:35<26:55,  2.13it/s]
overall:  90%|████████▉ | 3594/4000 [35:59<03:11,  2.12it/s]

train:   2%|▏         | 79/3515 [00:36<26:58,  2.12it/s]
overall:  90%|████████▉ | 3595/4000 [36:00<03:02,  2.22it/s]

train:   2%|▏         | 80/3515 [00:36<25:46,  2.22it/s]
overall:  90%|████████▉ | 3596/4000 [36:00<03:00,  2.24it/s]

train:   2%|▏         | 81/3515 [00:36<25:33,  2.24it/s]
overall:  90%|████████▉ | 3597/4000 [36:01<03:06,  2.16it/s]

train:   2%|▏         | 82/3515 [00:37<26:30,  2.16it/s]
overall:  90%|████████▉ | 3598/4000 [36:01<03:02,  2.20it/s]

train:   2%|▏         | 83/3515 [00:37<25:59,  2.20it/s]
overall:  90%|████████▉ | 3599/4000 [36:02<02:52,  2.32it/s]

train:   2%|▏         | 84/3515 [00:38<24:37,  2.32it/s]
overall:  90%|█████████ | 3600/4000 [36:02<03:19,  2.01it/s]

train:   2%|▏         | 85/3515 [00:38<28:26,  2.01it/s]
overall:  90%|█████████ | 3601/4000 [36:03<03:18,  2.01it/s]

train:   2%|▏         | 86/3515 [00:39<28:29,  2.01it/s]
overall:  90%|█████████ | 3602/4000 [36:03<03:11,  2.08it/s]

train:   2%|▏         | 87/3515 [00:39<27:26,  2.08it/s]
overall:  90%|█████████ | 3603/4000 [36:04<03:14,  2.04it/s]

train:   3%|▎         | 88/3515 [00:40<27:56,  2.04it/s]
overall:  90%|█████████ | 3604/4000 [36:04<03:13,  2.04it/s]

train:   3%|▎         | 89/3515 [00:40<27:56,  2.04it/s]
overall:  90%|█████████ | 3605/4000 [36:04<02:28,  2.66it/s]

train:   3%|▎         | 90/3515 [00:40<21:25,  2.66it/s]
overall:  90%|█████████ | 3606/4000 [36:05<02:30,  2.61it/s]

train:   3%|▎         | 91/3515 [00:41<21:49,  2.61it/s]
overall:  90%|█████████ | 3607/4000 [36:05<02:45,  2.37it/s]

train:   3%|▎         | 92/3515 [00:41<24:05,  2.37it/s]
overall:  90%|█████████ | 3608/4000 [36:06<02:37,  2.48it/s]

train:   3%|▎         | 93/3515 [00:42<22:57,  2.48it/s]
overall:  90%|█████████ | 3609/4000 [36:06<02:42,  2.41it/s]

train:   3%|▎         | 94/3515 [00:42<23:41,  2.41it/s]
overall:  90%|█████████ | 3610/4000 [36:06<02:48,  2.32it/s]

train:   3%|▎         | 95/3515 [00:43<24:34,  2.32it/s]
overall:  90%|█████████ | 3611/4000 [36:07<02:54,  2.23it/s]

train:   3%|▎         | 96/3515 [00:43<25:34,  2.23it/s]
overall:  90%|█████████ | 3612/4000 [36:08<03:11,  2.02it/s]

train:   3%|▎         | 97/3515 [00:44<28:10,  2.02it/s]
overall:  90%|█████████ | 3613/4000 [36:08<03:05,  2.09it/s]

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overall:  90%|█████████ | 3614/4000 [36:08<03:03,  2.10it/s]

train:   3%|▎         | 99/3515 [00:45<27:02,  2.10it/s]
overall:  90%|█████████ | 3615/4000 [36:09<03:07,  2.05it/s]

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overall:  90%|█████████ | 3616/4000 [36:09<03:10,  2.01it/s]

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overall:  90%|█████████ | 3617/4000 [36:10<03:08,  2.03it/s]

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overall:  90%|█████████ | 3618/4000 [36:10<03:10,  2.01it/s]

train:   3%|▎         | 103/3515 [00:47<28:17,  2.01it/s]
overall:  90%|█████████ | 3619/4000 [36:11<03:13,  1.97it/s]

train:   3%|▎         | 104/3515 [00:47<28:51,  1.97it/s]
overall:  90%|█████████ | 3620/4000 [36:12<03:12,  1.98it/s]

train:   3%|▎         | 105/3515 [00:48<28:43,  1.98it/s]
overall:  91%|█████████ | 3621/4000 [36:12<03:10,  1.98it/s]

train:   3%|▎         | 106/3515 [00:48<28:37,  1.98it/s]
overall:  91%|█████████ | 3622/4000 [36:13<03:07,  2.01it/s]

train:   3%|▎         | 107/3515 [00:49<28:12,  2.01it/s]
overall:  91%|█████████ | 3623/4000 [36:13<03:06,  2.03it/s]

train:   3%|▎         | 108/3515 [00:49<28:01,  2.03it/s]
overall:  91%|█████████ | 3624/4000 [36:14<03:18,  1.89it/s]

train:   3%|▎         | 109/3515 [00:50<29:59,  1.89it/s]
overall:  91%|█████████ | 3625/4000 [36:14<03:15,  1.92it/s]

train:   3%|▎         | 110/3515 [00:50<29:30,  1.92it/s]
overall:  91%|█████████ | 3626/4000 [36:15<03:03,  2.04it/s]

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train:   3%|▎         | 118/3515 [00:54<26:33,  2.13it/s]
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train:   3%|▎         | 120/3515 [00:55<26:54,  2.10it/s]
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train:   3%|▎         | 121/3515 [00:55<29:00,  1.95it/s]
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train:   4%|▎         | 124/3515 [00:57<28:57,  1.95it/s]
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train:   4%|▎         | 125/3515 [00:57<28:52,  1.96it/s]
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train:   4%|▎         | 127/3515 [00:58<28:36,  1.97it/s]
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train:   4%|▎         | 128/3515 [00:59<29:14,  1.93it/s]
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train:   4%|▎         | 129/3515 [00:59<28:37,  1.97it/s]
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train:   4%|▍         | 135/3515 [01:02<23:43,  2.37it/s]
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train:   4%|▍         | 140/3515 [01:04<21:28,  2.62it/s]
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train:   4%|▍         | 141/3515 [01:04<23:14,  2.42it/s]
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train:   4%|▍         | 142/3515 [01:05<24:33,  2.29it/s]
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train:   4%|▍         | 143/3515 [01:05<25:07,  2.24it/s]
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train:   4%|▍         | 144/3515 [01:06<25:26,  2.21it/s]
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train:   4%|▍         | 145/3515 [01:06<28:01,  2.00it/s]
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train:   4%|▍         | 146/3515 [01:07<27:30,  2.04it/s]
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train:   4%|▍         | 147/3515 [01:07<27:28,  2.04it/s]
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train:   4%|▍         | 148/3515 [01:08<21:41,  2.59it/s]
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train:   4%|▍         | 149/3515 [01:08<23:37,  2.37it/s]
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train:   4%|▍         | 150/3515 [01:09<25:05,  2.23it/s]
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train:   4%|▍         | 151/3515 [01:09<25:54,  2.16it/s]
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train:   4%|▍         | 152/3515 [01:09<21:31,  2.60it/s]
overall:  92%|█████████▏| 3668/4000 [36:33<01:39,  3.34it/s]

train:   4%|▍         | 153/3515 [01:09<16:45,  3.34it/s]
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train:   4%|▍         | 154/3515 [01:10<19:40,  2.85it/s]
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train:   4%|▍         | 155/3515 [01:10<22:17,  2.51it/s]
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train:   4%|▍         | 156/3515 [01:11<23:45,  2.36it/s]
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train:   4%|▍         | 157/3515 [01:11<26:33,  2.11it/s]
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train:   5%|▍         | 159/3515 [01:12<22:33,  2.48it/s]
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train:   5%|▍         | 160/3515 [01:13<24:20,  2.30it/s]
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train:   5%|▍         | 161/3515 [01:13<25:12,  2.22it/s]
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train:   5%|▍         | 165/3515 [01:15<27:02,  2.06it/s]
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train:   5%|▍         | 168/3515 [01:16<23:43,  2.35it/s]
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train:   5%|▍         | 169/3515 [01:17<26:47,  2.08it/s]
overall:  92%|█████████▏| 3685/4000 [36:41<02:26,  2.15it/s]

train:   5%|▍         | 170/3515 [01:17<25:59,  2.15it/s]
overall:  92%|█████████▏| 3686/4000 [36:41<02:25,  2.15it/s]

train:   5%|▍         | 171/3515 [01:18<25:54,  2.15it/s]
overall:  92%|█████████▏| 3687/4000 [36:42<02:16,  2.30it/s]

train:   5%|▍         | 172/3515 [01:18<24:13,  2.30it/s]
overall:  92%|█████████▏| 3688/4000 [36:42<02:23,  2.18it/s]

train:   5%|▍         | 173/3515 [01:19<25:33,  2.18it/s]
overall:  92%|█████████▏| 3689/4000 [36:43<02:25,  2.14it/s]

train:   5%|▍         | 174/3515 [01:19<26:00,  2.14it/s]
overall:  92%|█████████▏| 3690/4000 [36:43<02:27,  2.10it/s]

train:   5%|▍         | 175/3515 [01:20<26:30,  2.10it/s]
overall:  92%|█████████▏| 3691/4000 [36:44<02:29,  2.06it/s]

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overall:  92%|█████████▏| 3692/4000 [36:44<02:30,  2.05it/s]

train:   5%|▌         | 177/3515 [01:21<27:07,  2.05it/s]
overall:  92%|█████████▏| 3693/4000 [36:45<02:30,  2.04it/s]

train:   5%|▌         | 178/3515 [01:21<27:16,  2.04it/s]
overall:  92%|█████████▏| 3694/4000 [36:45<02:31,  2.02it/s]

train:   5%|▌         | 179/3515 [01:22<27:31,  2.02it/s]
overall:  92%|█████████▏| 3695/4000 [36:46<02:10,  2.33it/s]

train:   5%|▌         | 180/3515 [01:22<23:51,  2.33it/s]
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train:   5%|▌         | 181/3515 [01:22<23:35,  2.36it/s]
overall:  92%|█████████▏| 3697/4000 [36:46<01:40,  3.01it/s]

train:   5%|▌         | 182/3515 [01:22<18:26,  3.01it/s]
overall:  92%|█████████▏| 3698/4000 [36:47<01:55,  2.62it/s]

train:   5%|▌         | 183/3515 [01:23<21:12,  2.62it/s]
overall:  92%|█████████▏| 3699/4000 [36:47<02:05,  2.40it/s]

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overall:  92%|█████████▎| 3700/4000 [36:48<02:11,  2.28it/s]

train:   5%|▌         | 185/3515 [01:24<24:20,  2.28it/s]
overall:  93%|█████████▎| 3701/4000 [36:48<02:15,  2.21it/s]

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overall:  93%|█████████▎| 3703/4000 [36:49<02:14,  2.21it/s]

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train:   6%|▌         | 208/3515 [01:34<27:19,  2.02it/s]
overall:  93%|█████████▎| 3724/4000 [36:59<02:20,  1.96it/s]

train:   6%|▌         | 209/3515 [01:35<28:03,  1.96it/s]
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train:   6%|▌         | 210/3515 [01:35<27:37,  1.99it/s]
overall:  93%|█████████▎| 3726/4000 [36:59<02:16,  2.00it/s]

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overall:  99%|█████████▉| 3970/4000 [38:52<00:14,  2.05it/s]

train:  13%|█▎        | 455/3515 [03:29<24:50,  2.05it/s]
overall:  99%|█████████▉| 3971/4000 [38:53<00:14,  2.02it/s]

train:  13%|█▎        | 456/3515 [03:29<25:10,  2.02it/s]
overall:  99%|█████████▉| 3972/4000 [38:54<00:14,  1.98it/s]

train:  13%|█▎        | 457/3515 [03:30<25:42,  1.98it/s]
overall:  99%|█████████▉| 3973/4000 [38:54<00:11,  2.34it/s]

train:  13%|█▎        | 458/3515 [03:30<21:48,  2.34it/s]
overall:  99%|█████████▉| 3974/4000 [38:54<00:11,  2.25it/s]

train:  13%|█▎        | 459/3515 [03:30<22:40,  2.25it/s]
overall:  99%|█████████▉| 3975/4000 [38:55<00:11,  2.14it/s]

train:  13%|█▎        | 460/3515 [03:31<23:46,  2.14it/s]
overall:  99%|█████████▉| 3976/4000 [38:55<00:11,  2.04it/s]

train:  13%|█▎        | 461/3515 [03:31<24:54,  2.04it/s]
overall:  99%|█████████▉| 3977/4000 [38:56<00:09,  2.44it/s]

train:  13%|█▎        | 462/3515 [03:32<20:50,  2.44it/s]
overall:  99%|█████████▉| 3978/4000 [38:56<00:09,  2.31it/s]

train:  13%|█▎        | 463/3515 [03:32<22:02,  2.31it/s]
overall:  99%|█████████▉| 3979/4000 [38:56<00:09,  2.25it/s]

train:  13%|█▎        | 464/3515 [03:33<22:36,  2.25it/s]
overall: 100%|█████████▉| 3980/4000 [38:57<00:09,  2.17it/s]

train:  13%|█▎        | 465/3515 [03:33<23:22,  2.17it/s]
overall: 100%|█████████▉| 3981/4000 [38:58<00:09,  2.07it/s]

train:  13%|█▎        | 466/3515 [03:34<24:36,  2.07it/s]
overall: 100%|█████████▉| 3982/4000 [38:58<00:08,  2.14it/s]

train:  13%|█▎        | 467/3515 [03:34<23:44,  2.14it/s]
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train:  13%|█▎        | 468/3515 [03:35<23:50,  2.13it/s]
overall: 100%|█████████▉| 3984/4000 [38:59<00:07,  2.01it/s]

train:  13%|█▎        | 469/3515 [03:35<25:13,  2.01it/s]
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train:  13%|█▎        | 470/3515 [03:36<24:23,  2.08it/s]
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train:  13%|█▎        | 471/3515 [03:36<24:33,  2.07it/s]
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train:  13%|█▎        | 472/3515 [03:36<22:46,  2.23it/s]
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train:  13%|█▎        | 474/3515 [03:37<24:35,  2.06it/s]
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train:  14%|█▎        | 475/3515 [03:38<24:57,  2.03it/s]
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train:  14%|█▎        | 480/3515 [03:40<16:40,  3.03it/s]
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train:  14%|█▎        | 481/3515 [03:40<20:30,  2.47it/s]
overall: 100%|█████████▉| 3997/4000 [39:05<00:01,  2.32it/s]

train:  14%|█▎        | 482/3515 [03:41<21:49,  2.32it/s]
overall: 100%|█████████▉| 3998/4000 [39:05<00:00,  2.17it/s]

train:  14%|█▎        | 483/3515 [03:41<23:15,  2.17it/s]
overall: 100%|█████████▉| 3999/4000 [39:06<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [03:42<23:04,  2.19it/s]train loss: 3.924790620803833
train per: 0.8284565720550615
train loss: 4.0512213706970215
train per: 0.8401036661716316
train loss: 3.9388108253479004
train per: 0.8261843545554056
train loss: 3.9842002391815186
train per: 0.8316312056737588
train loss: 3.8991177082061768
train per: 0.8296777138220452
train loss: 3.932440996170044
train per: 0.8290909993053488
train loss: 3.892787218093872
train per: 0.8157888697647734
train loss: 3.9519028663635254
train per: 0.8291388023890959
train loss: 4.021970748901367
train per: 0.8299622987568779
train loss: 4.09088659286499
train per: 0.8416283752387836
train loss: 3.9671471118927
train per: 0.8458915697144791
train loss: 3.912628173828125
train per: 0.8182507809013833
train loss: 3.8938961029052734
train per: 0.8426969124133585
train loss: 4.057326316833496
train per: 0.8275862068965517
train loss: 4.034753799438477
train per: 0.8372972000102846
train loss: 3.8829028606414795
train per: 0.8313656790311524
train loss: 3.8920719623565674
train per: 0.8298605980000985
train loss: 4.036322116851807
train per: 0.8195560203451062
train loss: 4.109925746917725
train per: 0.8333991217249717
train loss: 3.8590378761291504
train per: 0.8185302021264166
train loss: 4.069323539733887
train per: 0.8255748880748881
train loss: 3.8790462017059326
train per: 0.8159497021839841
train loss: 3.8985342979431152
train per: 0.8326302995638808
train loss: 3.9320297241210938
train per: 0.8291917914802568
train loss: 3.9597160816192627
train per: 0.8281815029474414
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 459/2703 [00:00<00:00, 4589.83it/s]


word -> phonemes:  36%|███▋      | 980/2703 [00:00<00:00, 4950.38it/s]


word -> phonemes:  55%|█████▍    | 1476/2703 [00:00<00:00, 4124.40it/s]


word -> phonemes:  70%|███████   | 1903/2703 [00:00<00:00, 4106.30it/s]


word -> phonemes:  87%|████████▋ | 2355/2703 [00:00<00:00, 4241.12it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4273.18it/s]



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overall: 100%|█████████▉| 3999/4000 [41:52<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [06:28<23:04,  2.19it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [41:52<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [06:28<23:04,  2.19it/s]
overall: 100%|██████████| 4000/4000 [41:52<00:00, 50.21s/it]

train:  14%|█▍        | 485/3515 [06:28<42:15:50, 50.21s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [06:28<40:29,  1.25it/s]   

overall: 100%|██████████| 4000/4000 [41:52<00:00,  1.59it/s]
dev loss: 4.151291847229004
dev per: 0.8528355879292404
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt