/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_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-v1-95M 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:  12%|█▏        | 415/3515 [00:00<00:00, 4140.18it/s]

word -> phonemes:  24%|██▎       | 830/3515 [00:00<00:00, 3509.94it/s]

word -> phonemes:  34%|███▍      | 1188/3515 [00:00<00:00, 3281.76it/s]

word -> phonemes:  45%|████▍     | 1566/3515 [00:00<00:00, 3458.44it/s]

word -> phonemes:  55%|█████▍    | 1916/3515 [00:00<00:00, 3278.76it/s]

word -> phonemes:  64%|██████▍   | 2248/3515 [00:00<00:00, 3175.27it/s]

word -> phonemes:  75%|███████▌  | 2641/3515 [00:00<00:00, 3400.35it/s]

word -> phonemes:  85%|████████▍ | 2985/3515 [00:00<00:00, 3099.91it/s]

word -> phonemes:  94%|█████████▍| 3302/3515 [00:01<00:00, 3022.70it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3155.65it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<4:13:09,  3.80s/it]

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overall:   0%|          | 2/4000 [00:04<2:15:16,  2.03s/it]

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overall:   0%|          | 3/4000 [00:05<1:28:05,  1.32s/it]

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overall:   0%|          | 4/4000 [00:05<1:05:53,  1.01it/s]

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overall:   0%|          | 5/4000 [00:06<53:26,  1.25it/s]  

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overall:   0%|          | 8/4000 [00:07<36:35,  1.82it/s]

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overall:   0%|          | 18/4000 [00:11<29:58,  2.21it/s]

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overall:   0%|          | 20/4000 [00:12<27:19,  2.43it/s]

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overall:   1%|          | 21/4000 [00:12<27:28,  2.41it/s]

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overall:   1%|          | 22/4000 [00:13<25:03,  2.65it/s]

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overall:   1%|          | 23/4000 [00:13<27:15,  2.43it/s]

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overall:   1%|          | 24/4000 [00:13<21:36,  3.07it/s]

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overall:   1%|          | 29/4000 [00:15<27:55,  2.37it/s]

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overall:   1%|          | 30/4000 [00:16<30:22,  2.18it/s]

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overall:   1%|          | 32/4000 [00:17<28:15,  2.34it/s]

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overall:   1%|          | 33/4000 [00:17<33:31,  1.97it/s]

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overall:   1%|          | 34/4000 [00:18<35:01,  1.89it/s]

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overall:   1%|          | 35/4000 [00:18<34:03,  1.94it/s]

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overall:   1%|          | 36/4000 [00:19<28:48,  2.29it/s]

train:   1%|          | 36/3515 [00:16<25:17,  2.29it/s]
overall:   1%|          | 37/4000 [00:19<29:47,  2.22it/s]

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overall:   1%|          | 38/4000 [00:20<30:15,  2.18it/s]

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overall:   1%|          | 39/4000 [00:20<30:14,  2.18it/s]

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overall:   1%|          | 40/4000 [00:21<29:41,  2.22it/s]

train:   1%|          | 40/3515 [00:18<26:03,  2.22it/s]
overall:   1%|          | 41/4000 [00:21<30:02,  2.20it/s]

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overall:   1%|          | 42/4000 [00:21<23:10,  2.85it/s]

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overall:   1%|          | 43/4000 [00:22<24:13,  2.72it/s]

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overall:   1%|▏         | 50/4000 [00:25<35:00,  1.88it/s]

train:   1%|▏         | 50/3515 [00:23<30:42,  1.88it/s]
overall:   1%|▏         | 51/4000 [00:25<32:32,  2.02it/s]

train:   1%|▏         | 51/3515 [00:23<28:32,  2.02it/s]
overall:   1%|▏         | 52/4000 [00:26<31:45,  2.07it/s]

train:   1%|▏         | 52/3515 [00:24<27:51,  2.07it/s]
overall:   1%|▏         | 53/4000 [00:26<31:35,  2.08it/s]

train:   2%|▏         | 53/3515 [00:24<27:42,  2.08it/s]
overall:   1%|▏         | 54/4000 [00:27<31:51,  2.06it/s]

train:   2%|▏         | 54/3515 [00:25<27:56,  2.06it/s]
overall:   1%|▏         | 55/4000 [00:27<29:04,  2.26it/s]

train:   2%|▏         | 55/3515 [00:25<25:29,  2.26it/s]
overall:   1%|▏         | 56/4000 [00:28<27:53,  2.36it/s]

train:   2%|▏         | 56/3515 [00:25<24:28,  2.36it/s]
overall:   1%|▏         | 57/4000 [00:28<28:32,  2.30it/s]

train:   2%|▏         | 57/3515 [00:26<25:02,  2.30it/s]
overall:   1%|▏         | 58/4000 [00:29<29:11,  2.25it/s]

train:   2%|▏         | 58/3515 [00:26<25:35,  2.25it/s]
overall:   1%|▏         | 59/4000 [00:29<29:26,  2.23it/s]

train:   2%|▏         | 59/3515 [00:27<25:49,  2.23it/s]
overall:   2%|▏         | 60/4000 [00:29<29:57,  2.19it/s]

train:   2%|▏         | 60/3515 [00:27<26:16,  2.19it/s]
overall:   2%|▏         | 61/4000 [00:30<30:03,  2.18it/s]

train:   2%|▏         | 61/3515 [00:28<26:21,  2.18it/s]
overall:   2%|▏         | 62/4000 [00:30<29:56,  2.19it/s]

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overall:   2%|▏         | 63/4000 [00:31<29:55,  2.19it/s]

train:   2%|▏         | 63/3515 [00:29<26:14,  2.19it/s]
overall:   2%|▏         | 64/4000 [00:31<29:28,  2.23it/s]

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overall:   2%|▏         | 65/4000 [00:32<30:05,  2.18it/s]

train:   2%|▏         | 65/3515 [00:29<26:22,  2.18it/s]
overall:   2%|▏         | 66/4000 [00:32<29:07,  2.25it/s]

train:   2%|▏         | 66/3515 [00:30<25:32,  2.25it/s]
overall:   2%|▏         | 67/4000 [00:33<28:47,  2.28it/s]

train:   2%|▏         | 67/3515 [00:30<25:14,  2.28it/s]
overall:   2%|▏         | 68/4000 [00:33<28:59,  2.26it/s]

train:   2%|▏         | 68/3515 [00:31<25:25,  2.26it/s]
overall:   2%|▏         | 69/4000 [00:33<29:34,  2.22it/s]

train:   2%|▏         | 69/3515 [00:31<25:55,  2.22it/s]
overall:   2%|▏         | 70/4000 [00:34<29:22,  2.23it/s]

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overall:   2%|▏         | 71/4000 [00:34<23:29,  2.79it/s]

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overall:   2%|▏         | 72/4000 [00:35<25:29,  2.57it/s]

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overall:   2%|▏         | 73/4000 [00:35<26:55,  2.43it/s]

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overall:   2%|▏         | 74/4000 [00:36<32:21,  2.02it/s]

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overall:   2%|▏         | 75/4000 [00:36<31:26,  2.08it/s]

train:   2%|▏         | 75/3515 [00:34<27:32,  2.08it/s]
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train:   2%|▏         | 76/3515 [00:34<27:34,  2.08it/s]
overall:   2%|▏         | 77/4000 [00:37<31:41,  2.06it/s]

train:   2%|▏         | 77/3515 [00:35<27:46,  2.06it/s]
overall:   2%|▏         | 78/4000 [00:37<26:41,  2.45it/s]

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train:   2%|▏         | 86/3515 [00:38<26:29,  2.16it/s]
overall:   2%|▏         | 87/4000 [00:41<30:27,  2.14it/s]

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train:   3%|▎         | 112/3515 [00:50<21:07,  2.69it/s]
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train:   3%|▎         | 115/3515 [00:52<24:11,  2.34it/s]
overall:   3%|▎         | 116/4000 [00:54<28:26,  2.28it/s]

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overall:   3%|▎         | 119/4000 [00:56<28:38,  2.26it/s]

train:   3%|▎         | 119/3515 [00:53<25:03,  2.26it/s]
overall:   3%|▎         | 120/4000 [00:56<27:59,  2.31it/s]

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train:   4%|▎         | 126/3515 [00:57<28:29,  1.98it/s]
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train:   4%|▎         | 127/3515 [00:57<26:00,  2.17it/s]
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train:   4%|▎         | 129/3515 [00:58<25:33,  2.21it/s]
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train:   4%|▎         | 130/3515 [00:59<25:42,  2.19it/s]
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train:   4%|▍         | 132/3515 [01:00<26:31,  2.13it/s]
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train:   4%|▍         | 133/3515 [01:00<26:31,  2.12it/s]
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train:   4%|▍         | 134/3515 [01:00<26:35,  2.12it/s]
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train:   4%|▍         | 135/3515 [01:01<26:57,  2.09it/s]
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train:   4%|▍         | 136/3515 [01:01<26:50,  2.10it/s]
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train:   4%|▍         | 137/3515 [01:02<26:00,  2.16it/s]
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train:   4%|▍         | 138/3515 [01:02<26:28,  2.13it/s]
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train:   4%|▍         | 139/3515 [01:03<26:49,  2.10it/s]
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train:   4%|▍         | 140/3515 [01:03<27:07,  2.07it/s]
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train:   4%|▍         | 141/3515 [01:04<21:48,  2.58it/s]
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train:   4%|▍         | 142/3515 [01:04<22:02,  2.55it/s]
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train:   4%|▍         | 143/3515 [01:04<23:30,  2.39it/s]
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train:   4%|▍         | 144/3515 [01:05<20:44,  2.71it/s]
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train:   4%|▍         | 145/3515 [01:05<22:34,  2.49it/s]
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train:   4%|▍         | 146/3515 [01:06<27:22,  2.05it/s]
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train:   4%|▍         | 147/3515 [01:06<27:24,  2.05it/s]
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train:   4%|▍         | 148/3515 [01:07<27:04,  2.07it/s]
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train:   4%|▍         | 149/3515 [01:07<26:50,  2.09it/s]
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train:   4%|▍         | 150/3515 [01:08<27:07,  2.07it/s]
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train:   4%|▍         | 151/3515 [01:08<26:38,  2.10it/s]
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train:   4%|▍         | 152/3515 [01:09<26:39,  2.10it/s]
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train:   4%|▍         | 153/3515 [01:09<26:13,  2.14it/s]
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train:   4%|▍         | 154/3515 [01:10<25:22,  2.21it/s]
overall:   4%|▍         | 155/4000 [01:12<29:34,  2.17it/s]

train:   4%|▍         | 155/3515 [01:10<25:51,  2.17it/s]
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train:   4%|▍         | 156/3515 [01:10<25:56,  2.16it/s]
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train:   4%|▍         | 157/3515 [01:11<25:48,  2.17it/s]
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train:   4%|▍         | 158/3515 [01:11<25:50,  2.16it/s]
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train:   5%|▍         | 159/3515 [01:12<26:10,  2.14it/s]
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train:   5%|▍         | 160/3515 [01:12<22:01,  2.54it/s]
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train:   5%|▍         | 161/3515 [01:13<22:59,  2.43it/s]
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train:   5%|▍         | 162/3515 [01:13<23:49,  2.35it/s]
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train:   5%|▍         | 163/3515 [01:13<24:18,  2.30it/s]
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train:   5%|▍         | 164/3515 [01:14<25:06,  2.22it/s]
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train:   5%|▍         | 165/3515 [01:14<25:27,  2.19it/s]
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train:   5%|▍         | 166/3515 [01:15<25:23,  2.20it/s]
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train:   5%|▍         | 167/3515 [01:15<21:55,  2.54it/s]
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train:   5%|▍         | 168/3515 [01:16<23:39,  2.36it/s]
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train:   5%|▍         | 169/3515 [01:16<24:46,  2.25it/s]
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train:   5%|▍         | 170/3515 [01:17<28:30,  1.96it/s]
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train:   5%|▍         | 171/3515 [01:17<27:54,  2.00it/s]
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train:   5%|▍         | 172/3515 [01:18<27:48,  2.00it/s]
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train:   5%|▍         | 173/3515 [01:18<23:32,  2.37it/s]
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train:   5%|▍         | 174/3515 [01:19<25:26,  2.19it/s]
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train:   5%|▍         | 175/3515 [01:19<26:00,  2.14it/s]
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train:   5%|▌         | 176/3515 [01:20<26:10,  2.13it/s]
overall:   4%|▍         | 177/4000 [01:22<30:11,  2.11it/s]

train:   5%|▌         | 177/3515 [01:20<26:21,  2.11it/s]
overall:   4%|▍         | 178/4000 [01:23<29:58,  2.12it/s]

train:   5%|▌         | 178/3515 [01:20<26:10,  2.12it/s]
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train:   5%|▌         | 179/3515 [01:21<25:54,  2.15it/s]
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train:   5%|▌         | 180/3515 [01:21<26:22,  2.11it/s]
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train:   5%|▌         | 181/3515 [01:22<26:15,  2.12it/s]
overall:   5%|▍         | 182/4000 [01:25<30:43,  2.07it/s]

train:   5%|▌         | 182/3515 [01:22<26:49,  2.07it/s]
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train:   5%|▌         | 183/3515 [01:23<26:55,  2.06it/s]
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train:   5%|▌         | 184/3515 [01:23<25:29,  2.18it/s]
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train:   5%|▌         | 185/3515 [01:24<24:55,  2.23it/s]
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train:   5%|▌         | 186/3515 [01:24<25:11,  2.20it/s]
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train:   5%|▌         | 187/3515 [01:25<23:43,  2.34it/s]
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train:   5%|▌         | 188/3515 [01:25<22:38,  2.45it/s]
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train:   5%|▌         | 189/3515 [01:25<23:20,  2.38it/s]
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train:   5%|▌         | 190/3515 [01:26<22:49,  2.43it/s]
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train:   5%|▌         | 191/3515 [01:26<22:57,  2.41it/s]
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train:   5%|▌         | 192/3515 [01:26<19:08,  2.89it/s]
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train:   5%|▌         | 193/3515 [01:27<27:32,  2.01it/s]
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train:   6%|▌         | 194/3515 [01:28<27:47,  1.99it/s]
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train:   6%|▌         | 195/3515 [01:28<27:43,  2.00it/s]
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train:   6%|▌         | 196/3515 [01:29<27:17,  2.03it/s]
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train:   6%|▌         | 206/3515 [01:33<20:56,  2.63it/s]
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train:   6%|▌         | 207/3515 [01:33<22:14,  2.48it/s]
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train:   6%|▌         | 209/3515 [01:34<23:05,  2.39it/s]
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train:   6%|▌         | 210/3515 [01:35<23:27,  2.35it/s]
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train:   6%|▌         | 216/3515 [01:37<24:33,  2.24it/s]
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train:   6%|▌         | 217/3515 [01:38<30:42,  1.79it/s]
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train:   6%|▋         | 220/3515 [01:40<26:02,  2.11it/s]
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train:   6%|▋         | 223/3515 [01:41<25:32,  2.15it/s]
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train:   6%|▋         | 224/3515 [01:41<24:54,  2.20it/s]
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train:   6%|▋         | 227/3515 [01:43<24:36,  2.23it/s]
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train:   7%|▋         | 229/3515 [01:43<20:57,  2.61it/s]
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overall:   6%|▌         | 239/4000 [01:50<29:13,  2.14it/s]

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overall:   6%|▌         | 245/4000 [01:53<30:39,  2.04it/s]

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train:   8%|▊         | 264/3515 [02:00<25:57,  2.09it/s]
overall:   7%|▋         | 265/4000 [02:03<35:15,  1.77it/s]

train:   8%|▊         | 265/3515 [02:00<30:41,  1.77it/s]
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train:   8%|▊         | 266/3515 [02:01<29:04,  1.86it/s]
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overall:   7%|▋         | 268/4000 [02:04<30:22,  2.05it/s]

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overall:   7%|▋         | 269/4000 [02:04<28:16,  2.20it/s]

train:   8%|▊         | 269/3515 [02:02<24:35,  2.20it/s]
overall:   7%|▋         | 270/4000 [02:05<27:30,  2.26it/s]

train:   8%|▊         | 270/3515 [02:02<23:55,  2.26it/s]
overall:   7%|▋         | 271/4000 [02:05<28:23,  2.19it/s]

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overall:   7%|▋         | 272/4000 [02:06<29:02,  2.14it/s]

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overall:   7%|▋         | 273/4000 [02:06<28:57,  2.15it/s]

train:   8%|▊         | 273/3515 [02:04<25:10,  2.15it/s]
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train:   8%|▊         | 274/3515 [02:04<25:16,  2.14it/s]
overall:   7%|▋         | 275/4000 [02:07<29:18,  2.12it/s]

train:   8%|▊         | 275/3515 [02:05<25:29,  2.12it/s]
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overall:   7%|▋         | 277/4000 [02:08<28:41,  2.16it/s]

train:   8%|▊         | 277/3515 [02:06<24:57,  2.16it/s]
overall:   7%|▋         | 278/4000 [02:08<27:51,  2.23it/s]

train:   8%|▊         | 278/3515 [02:06<24:13,  2.23it/s]
overall:   7%|▋         | 279/4000 [02:09<28:15,  2.20it/s]

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overall:   7%|▋         | 280/4000 [02:09<28:47,  2.15it/s]

train:   8%|▊         | 280/3515 [02:07<25:02,  2.15it/s]
overall:   7%|▋         | 281/4000 [02:10<29:04,  2.13it/s]

train:   8%|▊         | 281/3515 [02:08<25:16,  2.13it/s]
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overall:   7%|▋         | 283/4000 [02:11<25:07,  2.47it/s]

train:   8%|▊         | 283/3515 [02:08<21:51,  2.47it/s]
overall:   7%|▋         | 284/4000 [02:11<26:49,  2.31it/s]

train:   8%|▊         | 284/3515 [02:09<23:19,  2.31it/s]
overall:   7%|▋         | 285/4000 [02:12<27:36,  2.24it/s]

train:   8%|▊         | 285/3515 [02:09<24:00,  2.24it/s]
overall:   7%|▋         | 286/4000 [02:12<28:11,  2.20it/s]

train:   8%|▊         | 286/3515 [02:10<24:30,  2.20it/s]
overall:   7%|▋         | 287/4000 [02:12<27:07,  2.28it/s]

train:   8%|▊         | 287/3515 [02:10<23:35,  2.28it/s]
overall:   7%|▋         | 288/4000 [02:13<26:39,  2.32it/s]

train:   8%|▊         | 288/3515 [02:11<23:10,  2.32it/s]
overall:   7%|▋         | 289/4000 [02:14<35:11,  1.76it/s]

train:   8%|▊         | 289/3515 [02:11<30:35,  1.76it/s]
overall:   7%|▋         | 290/4000 [02:14<34:07,  1.81it/s]

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overall:   7%|▋         | 291/4000 [02:15<32:44,  1.89it/s]

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overall:   7%|▋         | 292/4000 [02:15<31:30,  1.96it/s]

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overall:   7%|▋         | 293/4000 [02:16<30:10,  2.05it/s]

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overall:   7%|▋         | 299/4000 [02:18<27:51,  2.21it/s]

train:   9%|▊         | 299/3515 [02:16<24:12,  2.21it/s]
overall:   8%|▊         | 300/4000 [02:19<28:39,  2.15it/s]

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overall:  12%|█▏        | 481/4000 [03:41<29:18,  2.00it/s]

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overall:  12%|█▏        | 482/4000 [03:41<28:45,  2.04it/s]

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overall:  12%|█▏        | 483/4000 [03:42<27:47,  2.11it/s]

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overall:  12%|█▏        | 484/4000 [03:42<22:29,  2.61it/s]

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overall:  12%|█▏        | 485/4000 [03:42<24:01,  2.44it/s]

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overall:  12%|█▏        | 486/4000 [03:43<24:56,  2.35it/s]

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overall:  12%|█▏        | 487/4000 [03:43<25:41,  2.28it/s]

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overall:  12%|█▏        | 488/4000 [03:44<26:18,  2.22it/s]

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overall:  12%|█▏        | 489/4000 [03:44<26:43,  2.19it/s]

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overall:  12%|█▏        | 490/4000 [03:45<25:45,  2.27it/s]

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overall:  12%|█▏        | 491/4000 [03:45<22:37,  2.59it/s]

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overall:  12%|█▏        | 492/4000 [03:45<18:30,  3.16it/s]

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overall:  12%|█▏        | 493/4000 [03:46<21:05,  2.77it/s]

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overall:  12%|█▏        | 495/4000 [03:47<24:27,  2.39it/s]

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overall:  12%|█▏        | 496/4000 [03:47<25:32,  2.29it/s]

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overall:  13%|█▎        | 505/4000 [03:51<31:00,  1.88it/s]

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overall:  13%|█▎        | 506/4000 [03:51<26:47,  2.17it/s]

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overall:  13%|█▎        | 507/4000 [03:52<26:12,  2.22it/s]

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overall:  13%|█▎        | 508/4000 [03:52<26:47,  2.17it/s]

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overall:  13%|█▎        | 509/4000 [03:53<28:53,  2.01it/s]

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overall:  13%|█▎        | 510/4000 [03:53<28:23,  2.05it/s]

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overall:  13%|█▎        | 511/4000 [03:54<28:16,  2.06it/s]

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overall:  13%|█▎        | 512/4000 [03:54<28:20,  2.05it/s]

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overall:  13%|█▎        | 513/4000 [03:55<27:16,  2.13it/s]

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overall:  13%|█▎        | 514/4000 [03:55<24:22,  2.38it/s]

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overall:  13%|█▎        | 515/4000 [03:55<20:07,  2.89it/s]

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overall:  13%|█▎        | 516/4000 [03:56<22:40,  2.56it/s]

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overall:  13%|█▎        | 517/4000 [03:56<24:48,  2.34it/s]

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overall:  13%|█▎        | 518/4000 [03:57<25:30,  2.27it/s]

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overall:  13%|█▎        | 519/4000 [03:57<26:26,  2.19it/s]

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overall:  13%|█▎        | 520/4000 [03:58<24:49,  2.34it/s]

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overall:  13%|█▎        | 521/4000 [03:58<20:18,  2.86it/s]

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overall:  13%|█▎        | 522/4000 [03:58<22:40,  2.56it/s]

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overall:  13%|█▎        | 523/4000 [03:59<24:19,  2.38it/s]

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overall:  13%|█▎        | 524/4000 [03:59<24:28,  2.37it/s]

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overall:  13%|█▎        | 525/4000 [04:00<24:31,  2.36it/s]

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overall:  13%|█▎        | 526/4000 [04:00<24:31,  2.36it/s]

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overall:  13%|█▎        | 527/4000 [04:00<25:45,  2.25it/s]

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overall:  13%|█▎        | 528/4000 [04:01<26:09,  2.21it/s]

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overall:  13%|█▎        | 529/4000 [04:02<30:00,  1.93it/s]

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overall:  13%|█▎        | 530/4000 [04:02<26:17,  2.20it/s]

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overall:  13%|█▎        | 531/4000 [04:02<26:53,  2.15it/s]

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overall:  13%|█▎        | 532/4000 [04:03<27:44,  2.08it/s]

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overall:  13%|█▎        | 533/4000 [04:03<27:25,  2.11it/s]

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overall:  13%|█▎        | 534/4000 [04:04<27:40,  2.09it/s]

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overall:  13%|█▎        | 535/4000 [04:04<27:57,  2.07it/s]

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overall:  13%|█▎        | 536/4000 [04:05<28:08,  2.05it/s]

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overall:  13%|█▎        | 537/4000 [04:05<27:51,  2.07it/s]

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overall:  13%|█▎        | 538/4000 [04:05<22:21,  2.58it/s]

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overall:  13%|█▎        | 539/4000 [04:06<17:23,  3.32it/s]

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overall:  14%|█▎        | 540/4000 [04:06<16:08,  3.57it/s]

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overall:  14%|█▎        | 541/4000 [04:06<13:02,  4.42it/s]

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overall:  14%|█▎        | 542/4000 [04:06<16:48,  3.43it/s]

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overall:  14%|█▎        | 543/4000 [04:07<18:01,  3.20it/s]

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overall:  14%|█▎        | 544/4000 [04:07<20:34,  2.80it/s]

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overall:  14%|█▎        | 545/4000 [04:08<23:02,  2.50it/s]

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overall:  14%|█▎        | 546/4000 [04:08<24:35,  2.34it/s]

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overall:  14%|█▎        | 547/4000 [04:09<25:28,  2.26it/s]

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overall:  14%|█▎        | 548/4000 [04:09<22:02,  2.61it/s]

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overall:  14%|█▎        | 549/4000 [04:09<23:42,  2.43it/s]

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overall:  14%|█▍        | 550/4000 [04:10<25:11,  2.28it/s]

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overall:  14%|█▍        | 551/4000 [04:10<25:44,  2.23it/s]

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overall:  14%|█▍        | 552/4000 [04:11<26:22,  2.18it/s]

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overall:  14%|█▍        | 553/4000 [04:12<30:37,  1.88it/s]

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overall:  14%|█▍        | 554/4000 [04:12<29:41,  1.93it/s]

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overall:  14%|█▍        | 556/4000 [04:13<28:40,  2.00it/s]

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overall:  14%|█▍        | 557/4000 [04:14<29:28,  1.95it/s]

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overall:  16%|█▌        | 644/4000 [04:52<25:57,  2.15it/s]

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train:  28%|██▊       | 999/3515 [07:33<19:55,  2.10it/s]train loss: 7.948251247406006
train per: 0.9795679073944716
train loss: 6.031427383422852
train per: 0.8721182892575123
train loss: 4.978277206420898
train per: 0.8589565718174917
train loss: 4.6969709396362305
train per: 0.862597436913727
train loss: 4.647983074188232
train per: 0.8613992705224764
train loss: 4.499274730682373
train per: 0.885018541409147
train loss: 4.106868267059326
train per: 0.8710607528213907
train loss: 4.281831741333008
train per: 0.8640720521270976
train loss: 4.2120232582092285
train per: 0.8760976528474234
train loss: 4.214136600494385
train per: 0.854673079422852
train loss: 4.205348968505859
train per: 0.8827065464408768
train loss: 4.393880844116211
train per: 0.8745935671051973
train loss: 4.228991508483887
train per: 0.8499988413320048
train loss: 3.964705228805542
train per: 0.8754115276890571
train loss: 4.015379428863525
train per: 0.8927756836570551
train loss: 4.121581077575684
train per: 0.8916581511851058
train loss: 4.284595012664795
train per: 0.8510901883052527
train loss: 4.549249649047852
train per: 0.8371433918879174
train loss: 4.300050735473633
train per: 0.8615291161609189
train loss: 4.1789326667785645
train per: 0.8732632507535103
train loss: 4.042489051818848
train per: 0.8429640168900312
train loss: 4.128813743591309
train per: 0.8621323529411765
train loss: 4.333540439605713
train per: 0.8887390074969519
train loss: 4.408625602722168
train per: 0.8352010210593491
train loss: 4.340855598449707
train per: 0.852655114589156
train loss: 4.151793003082275
train per: 0.8596110575377692
train loss: 4.463216304779053
train per: 0.8405311122529003
train loss: 4.370072364807129
train per: 0.8512084008956837
train loss: 4.2529168128967285
train per: 0.8340748360550341
train loss: 4.548092842102051
train per: 0.8465144293720211
train loss: 4.248608589172363
train per: 0.8480986691966461
train loss: 4.143435001373291
train per: 0.8558551902475064
train loss: 4.149458885192871
train per: 0.8377134522043106
train loss: 4.394284248352051
train per: 0.8453132386063454
train loss: 4.113101959228516
train per: 0.8408195236579933
train loss: 4.212948799133301
train per: 0.8472733395876934
train loss: 4.170378684997559
train per: 0.8356602467721534
train loss: 4.104351043701172
train per: 0.8298293944226959
train loss: 4.178309440612793
train per: 0.8476514669148258
train loss: 4.073977470397949
train per: 0.8284885060118856
train loss: 4.147789478302002
train per: 0.8343482673626215
train loss: 4.066697120666504
train per: 0.8237625566615795
train loss: 3.998605251312256
train per: 0.837030918102431
train loss: 3.870300769805908
train per: 0.8443174969209403
train loss: 4.258191108703613
train per: 0.8374720731362831
train loss: 4.089779376983643
train per: 0.8427381130569276
train loss: 4.028899669647217
train per: 0.8322277501381979
train loss: 4.26215124130249
train per: 0.8330827808857234
train loss: 4.193363666534424
train per: 0.8403692244751847
train loss: 4.097292423248291
train per: 0.8324241467922997
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 460/2703 [00:00<00:00, 4597.15it/s]


word -> phonemes:  36%|███▌      | 960/2703 [00:00<00:00, 4833.63it/s]


word -> phonemes:  53%|█████▎    | 1444/2703 [00:00<00:00, 4816.85it/s]


word -> phonemes:  75%|███████▌  | 2033/2703 [00:00<00:00, 5238.44it/s]


word -> phonemes:  96%|█████████▋| 2603/2703 [00:00<00:00, 5402.65it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5197.73it/s]



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train:  55%|█████▍    | 1921/3515 [17:23<11:29,  2.31it/s]
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overall:  48%|████▊     | 1924/4000 [17:27<14:04,  2.46it/s]

train:  55%|█████▍    | 1924/3515 [17:25<10:46,  2.46it/s]
overall:  48%|████▊     | 1925/4000 [17:27<12:20,  2.80it/s]

train:  55%|█████▍    | 1925/3515 [17:25<09:27,  2.80it/s]
overall:  48%|████▊     | 1926/4000 [17:27<10:35,  3.26it/s]

train:  55%|█████▍    | 1926/3515 [17:25<08:07,  3.26it/s]
overall:  48%|████▊     | 1927/4000 [17:28<13:33,  2.55it/s]

train:  55%|█████▍    | 1927/3515 [17:26<10:23,  2.55it/s]
overall:  48%|████▊     | 1928/4000 [17:28<11:44,  2.94it/s]

train:  55%|█████▍    | 1928/3515 [17:26<08:59,  2.94it/s]
overall:  48%|████▊     | 1929/4000 [17:29<14:14,  2.42it/s]

train:  55%|█████▍    | 1929/3515 [17:26<10:54,  2.42it/s]
overall:  48%|████▊     | 1930/4000 [17:29<15:10,  2.27it/s]

train:  55%|█████▍    | 1930/3515 [17:27<11:37,  2.27it/s]
overall:  48%|████▊     | 1931/4000 [17:30<15:28,  2.23it/s]

train:  55%|█████▍    | 1931/3515 [17:27<11:50,  2.23it/s]
overall:  48%|████▊     | 1932/4000 [17:30<12:27,  2.77it/s]

train:  55%|█████▍    | 1932/3515 [17:28<09:32,  2.77it/s]
overall:  48%|████▊     | 1933/4000 [17:30<13:40,  2.52it/s]

train:  55%|█████▍    | 1933/3515 [17:28<10:27,  2.52it/s]
overall:  48%|████▊     | 1934/4000 [17:31<14:16,  2.41it/s]

train:  55%|█████▌    | 1934/3515 [17:29<10:55,  2.41it/s]
overall:  48%|████▊     | 1935/4000 [17:31<14:44,  2.33it/s]

train:  55%|█████▌    | 1935/3515 [17:29<11:16,  2.33it/s]
overall:  48%|████▊     | 1936/4000 [17:32<15:46,  2.18it/s]

train:  55%|█████▌    | 1936/3515 [17:30<12:04,  2.18it/s]
overall:  48%|████▊     | 1937/4000 [17:32<16:01,  2.15it/s]

train:  55%|█████▌    | 1937/3515 [17:30<12:15,  2.15it/s]
overall:  48%|████▊     | 1938/4000 [17:33<13:49,  2.48it/s]

train:  55%|█████▌    | 1938/3515 [17:30<10:34,  2.48it/s]
overall:  48%|████▊     | 1939/4000 [17:33<14:22,  2.39it/s]

train:  55%|█████▌    | 1939/3515 [17:31<10:59,  2.39it/s]
overall:  48%|████▊     | 1940/4000 [17:33<12:06,  2.83it/s]

train:  55%|█████▌    | 1940/3515 [17:31<09:15,  2.83it/s]
overall:  49%|████▊     | 1941/4000 [17:34<13:15,  2.59it/s]

train:  55%|█████▌    | 1941/3515 [17:31<10:07,  2.59it/s]
overall:  49%|████▊     | 1942/4000 [17:34<11:06,  3.09it/s]

train:  55%|█████▌    | 1942/3515 [17:32<08:29,  3.09it/s]
overall:  49%|████▊     | 1943/4000 [17:34<12:49,  2.67it/s]

train:  55%|█████▌    | 1943/3515 [17:32<09:47,  2.67it/s]
overall:  49%|████▊     | 1944/4000 [17:35<14:04,  2.43it/s]

train:  55%|█████▌    | 1944/3515 [17:33<10:45,  2.43it/s]
overall:  49%|████▊     | 1945/4000 [17:35<14:53,  2.30it/s]

train:  55%|█████▌    | 1945/3515 [17:33<11:22,  2.30it/s]
overall:  49%|████▊     | 1946/4000 [17:36<15:16,  2.24it/s]

train:  55%|█████▌    | 1946/3515 [17:34<11:40,  2.24it/s]
overall:  49%|████▊     | 1947/4000 [17:36<15:36,  2.19it/s]

train:  55%|█████▌    | 1947/3515 [17:34<11:55,  2.19it/s]
overall:  49%|████▊     | 1948/4000 [17:37<15:27,  2.21it/s]

train:  55%|█████▌    | 1948/3515 [17:34<11:48,  2.21it/s]
overall:  49%|████▊     | 1949/4000 [17:37<15:37,  2.19it/s]

train:  55%|█████▌    | 1949/3515 [17:35<11:55,  2.19it/s]
overall:  49%|████▉     | 1950/4000 [17:38<15:35,  2.19it/s]

train:  55%|█████▌    | 1950/3515 [17:35<11:54,  2.19it/s]
overall:  49%|████▉     | 1951/4000 [17:38<16:50,  2.03it/s]

train:  56%|█████▌    | 1951/3515 [17:36<12:50,  2.03it/s]
overall:  49%|████▉     | 1952/4000 [17:39<16:55,  2.02it/s]

train:  56%|█████▌    | 1952/3515 [17:36<12:55,  2.02it/s]
overall:  49%|████▉     | 1953/4000 [17:39<17:16,  1.97it/s]

train:  56%|█████▌    | 1953/3515 [17:37<13:11,  1.97it/s]
overall:  49%|████▉     | 1954/4000 [17:40<17:14,  1.98it/s]

train:  56%|█████▌    | 1954/3515 [17:37<13:09,  1.98it/s]
overall:  49%|████▉     | 1955/4000 [17:40<17:05,  1.99it/s]

train:  56%|█████▌    | 1955/3515 [17:38<13:02,  1.99it/s]
overall:  49%|████▉     | 1956/4000 [17:41<16:51,  2.02it/s]

train:  56%|█████▌    | 1956/3515 [17:38<12:51,  2.02it/s]
overall:  49%|████▉     | 1957/4000 [17:41<16:08,  2.11it/s]

train:  56%|█████▌    | 1957/3515 [17:39<12:18,  2.11it/s]
overall:  49%|████▉     | 1958/4000 [17:42<15:40,  2.17it/s]

train:  56%|█████▌    | 1958/3515 [17:39<11:57,  2.17it/s]
overall:  49%|████▉     | 1959/4000 [17:42<14:35,  2.33it/s]

train:  56%|█████▌    | 1959/3515 [17:40<11:07,  2.33it/s]
overall:  49%|████▉     | 1960/4000 [17:42<12:50,  2.65it/s]

train:  56%|█████▌    | 1960/3515 [17:40<09:47,  2.65it/s]
overall:  49%|████▉     | 1961/4000 [17:43<14:01,  2.42it/s]

train:  56%|█████▌    | 1961/3515 [17:40<10:41,  2.42it/s]
overall:  49%|████▉     | 1962/4000 [17:43<14:58,  2.27it/s]

train:  56%|█████▌    | 1962/3515 [17:41<11:24,  2.27it/s]
overall:  49%|████▉     | 1963/4000 [17:44<15:38,  2.17it/s]

train:  56%|█████▌    | 1963/3515 [17:41<11:54,  2.17it/s]
overall:  49%|████▉     | 1964/4000 [17:44<16:02,  2.12it/s]

train:  56%|█████▌    | 1964/3515 [17:42<12:13,  2.12it/s]
overall:  49%|████▉     | 1965/4000 [17:45<15:24,  2.20it/s]

train:  56%|█████▌    | 1965/3515 [17:42<11:44,  2.20it/s]
overall:  49%|████▉     | 1966/4000 [17:45<15:33,  2.18it/s]

train:  56%|█████▌    | 1966/3515 [17:43<11:51,  2.18it/s]
overall:  49%|████▉     | 1967/4000 [17:46<16:01,  2.12it/s]

train:  56%|█████▌    | 1967/3515 [17:43<12:11,  2.12it/s]
overall:  49%|████▉     | 1968/4000 [17:46<16:09,  2.10it/s]

train:  56%|█████▌    | 1968/3515 [17:44<12:18,  2.10it/s]
overall:  49%|████▉     | 1969/4000 [17:47<16:20,  2.07it/s]

train:  56%|█████▌    | 1969/3515 [17:44<12:26,  2.07it/s]
overall:  49%|████▉     | 1970/4000 [17:47<16:23,  2.06it/s]

train:  56%|█████▌    | 1970/3515 [17:45<12:28,  2.06it/s]
overall:  49%|████▉     | 1971/4000 [17:48<16:13,  2.08it/s]

train:  56%|█████▌    | 1971/3515 [17:45<12:20,  2.08it/s]
overall:  49%|████▉     | 1972/4000 [17:48<15:28,  2.19it/s]

train:  56%|█████▌    | 1972/3515 [17:46<11:46,  2.19it/s]
overall:  49%|████▉     | 1973/4000 [17:48<14:53,  2.27it/s]

train:  56%|█████▌    | 1973/3515 [17:46<11:20,  2.27it/s]
overall:  49%|████▉     | 1974/4000 [17:49<15:29,  2.18it/s]

train:  56%|█████▌    | 1974/3515 [17:47<11:46,  2.18it/s]
overall:  49%|████▉     | 1975/4000 [17:49<16:41,  2.02it/s]

train:  56%|█████▌    | 1975/3515 [17:47<12:41,  2.02it/s]
overall:  49%|████▉     | 1976/4000 [17:50<16:42,  2.02it/s]

train:  56%|█████▌    | 1976/3515 [17:48<12:41,  2.02it/s]
overall:  49%|████▉     | 1977/4000 [17:50<14:09,  2.38it/s]

train:  56%|█████▌    | 1977/3515 [17:48<10:45,  2.38it/s]
overall:  49%|████▉     | 1978/4000 [17:51<14:48,  2.28it/s]

train:  56%|█████▋    | 1978/3515 [17:48<11:15,  2.28it/s]
overall:  49%|████▉     | 1979/4000 [17:51<15:18,  2.20it/s]

train:  56%|█████▋    | 1979/3515 [17:49<11:38,  2.20it/s]
overall:  50%|████▉     | 1980/4000 [17:52<15:59,  2.11it/s]

train:  56%|█████▋    | 1980/3515 [17:49<12:08,  2.11it/s]
overall:  50%|████▉     | 1981/4000 [17:52<12:19,  2.73it/s]

train:  56%|█████▋    | 1981/3515 [17:49<09:22,  2.73it/s]
overall:  50%|████▉     | 1982/4000 [17:52<13:38,  2.47it/s]

train:  56%|█████▋    | 1982/3515 [17:50<10:21,  2.47it/s]
overall:  50%|████▉     | 1983/4000 [17:53<13:37,  2.47it/s]

train:  56%|█████▋    | 1983/3515 [17:50<10:21,  2.47it/s]
overall:  50%|████▉     | 1984/4000 [17:53<14:53,  2.26it/s]

train:  56%|█████▋    | 1984/3515 [17:51<11:18,  2.26it/s]
overall:  50%|████▉     | 1985/4000 [17:54<15:29,  2.17it/s]

train:  56%|█████▋    | 1985/3515 [17:51<11:45,  2.17it/s]
overall:  50%|████▉     | 1986/4000 [17:54<13:04,  2.57it/s]

train:  57%|█████▋    | 1986/3515 [17:52<09:55,  2.57it/s]
overall:  50%|████▉     | 1987/4000 [17:54<14:13,  2.36it/s]

train:  57%|█████▋    | 1987/3515 [17:52<10:47,  2.36it/s]
overall:  50%|████▉     | 1988/4000 [17:55<14:54,  2.25it/s]

train:  57%|█████▋    | 1988/3515 [17:53<11:18,  2.25it/s]
overall:  50%|████▉     | 1989/4000 [17:55<15:12,  2.20it/s]

train:  57%|█████▋    | 1989/3515 [17:53<11:32,  2.20it/s]
overall:  50%|████▉     | 1990/4000 [17:56<15:37,  2.14it/s]

train:  57%|█████▋    | 1990/3515 [17:54<11:50,  2.14it/s]
overall:  50%|████▉     | 1991/4000 [17:56<15:55,  2.10it/s]

train:  57%|█████▋    | 1991/3515 [17:54<12:04,  2.10it/s]
overall:  50%|████▉     | 1992/4000 [17:57<15:48,  2.12it/s]

train:  57%|█████▋    | 1992/3515 [17:55<11:59,  2.12it/s]
overall:  50%|████▉     | 1993/4000 [17:57<16:01,  2.09it/s]

train:  57%|█████▋    | 1993/3515 [17:55<12:08,  2.09it/s]
overall:  50%|████▉     | 1994/4000 [17:58<16:13,  2.06it/s]

train:  57%|█████▋    | 1994/3515 [17:56<12:18,  2.06it/s]
overall:  50%|████▉     | 1995/4000 [17:58<16:11,  2.06it/s]

train:  57%|█████▋    | 1995/3515 [17:56<12:16,  2.06it/s]
overall:  50%|████▉     | 1996/4000 [17:59<15:37,  2.14it/s]

train:  57%|█████▋    | 1996/3515 [17:56<11:50,  2.14it/s]
overall:  50%|████▉     | 1997/4000 [17:59<15:34,  2.14it/s]

train:  57%|█████▋    | 1997/3515 [17:57<11:48,  2.14it/s]
overall:  50%|████▉     | 1998/4000 [18:00<15:46,  2.11it/s]

train:  57%|█████▋    | 1998/3515 [17:57<11:57,  2.11it/s]
overall:  50%|████▉     | 1999/4000 [18:00<16:52,  1.98it/s]

train:  57%|█████▋    | 1999/3515 [17:58<12:47,  1.98it/s]dev loss: 4.832021713256836
dev per: 0.8433246618106139
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 4.304483890533447
train per: 0.8354349951124145
train loss: 4.129241466522217
train per: 0.8336964243428842
train loss: 4.020079612731934
train per: 0.8222603131070735
train loss: 4.12244176864624
train per: 0.8459505520290463
train loss: 3.975909471511841
train per: 0.8382911173994064
train loss: 4.2578325271606445
train per: 0.8379416282642089
train loss: 4.101677894592285
train per: 0.8344399067972841
train loss: 3.9927895069122314
train per: 0.8499762422787406
train loss: 4.51409912109375
train per: 0.8513696612665684
train loss: 4.181818008422852
train per: 0.8385855409812986
train loss: 4.104418754577637
train per: 0.8418301556599429
train loss: 4.069064617156982
train per: 0.8448121200039869
train loss: 4.0559797286987305
train per: 0.8332255644931847
train loss: 4.414190292358398
train per: 0.8390906781813564
train loss: 4.162449836730957
train per: 0.8403836813987372
train loss: 3.991806745529175
train per: 0.837595449187721
train loss: 4.0286688804626465
train per: 0.8323192165038423
train loss: 4.06553840637207
train per: 0.8342682783710832
train loss: 3.981706142425537
train per: 0.8395628524377464
train loss: 3.965893268585205
train per: 0.8464046636859917
train loss: 4.224128246307373
train per: 0.8589548974708622
train loss: 3.9371089935302734
train per: 0.8399708718360788
train loss: 4.027586936950684
train per: 0.8313533491732066
train loss: 4.098202228546143
train per: 0.8338496657427034
train loss: 4.090780735015869
train per: 0.8420661178220615
train loss: 4.403724670410156
train per: 0.8614000636875067
train loss: 4.074858665466309
train per: 0.8464800907666541
train loss: 4.042719841003418
train per: 0.8248768300371261
train loss: 4.381906032562256
train per: 0.8397934332912766
train loss: 4.008086681365967
train per: 0.828462456419496
train loss: 4.213234901428223
train per: 0.8415202042962295
train loss: 4.036744594573975
train per: 0.8584134232464291
train loss: 4.202194690704346
train per: 0.8332131872356786
train loss: 4.104205131530762
train per: 0.8310326834590389
train loss: 4.176748275756836
train per: 0.8222702808974958
train loss: 4.065852165222168
train per: 0.8252388158516977
train loss: 3.9952359199523926
train per: 0.8259441319657796
train loss: 4.111971378326416
train per: 0.8458046979177352
train loss: 4.090033531188965
train per: 0.8225617957707658
train loss: 4.0716705322265625
train per: 0.8282199981292676
train loss: 4.035287857055664
train per: 0.8375501534104319
train loss: 4.031345844268799
train per: 0.8314612100832319
train loss: 3.9744884967803955
train per: 0.8257322785235651
train loss: 4.057887077331543
train per: 0.8533999363353657
train loss: 4.06555700302124
train per: 0.8319163325443215
train loss: 4.208117485046387
train per: 0.8286019111234808
train loss: 4.246453762054443
train per: 0.8469663473348071
train loss: 4.023848056793213
train per: 0.8466247318824862
train loss: 4.1881303787231445
train per: 0.8296563041298204
train loss: 4.105010986328125
train per: 0.832878750309943
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 507/2703 [00:00<00:00, 5064.14it/s]


word -> phonemes:  38%|███▊      | 1036/2703 [00:00<00:00, 5192.31it/s]


word -> phonemes:  61%|██████    | 1636/2703 [00:00<00:00, 5559.88it/s]


word -> phonemes:  81%|████████  | 2193/2703 [00:00<00:00, 5502.99it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5421.51it/s]



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train:  85%|████████▌ | 2999/3515 [28:17<03:18,  2.60it/s]dev loss: 4.54580545425415
dev per: 0.8451456815816858
train loss: 4.189369201660156
train per: 0.8227290638110469
train loss: 4.089594841003418
train per: 0.8372869616840231
train loss: 3.8937084674835205
train per: 0.8391557306478123
train loss: 4.421252250671387
train per: 0.8790317588064137
train loss: 4.191525459289551
train per: 0.835831782282811
train loss: 4.0320210456848145
train per: 0.8344958457277669
train loss: 4.448962211608887
train per: 0.8537849698299507
train loss: 4.044899940490723
train per: 0.8245508381009736
train loss: 3.954631805419922
train per: 0.8527459764393562
train loss: 3.993715286254883
train per: 0.8282505590642125
train loss: 4.06781005859375
train per: 0.8333291244728402
train loss: 4.173928260803223
train per: 0.8421592073795695
train loss: 4.084853172302246
train per: 0.8270493124812861
train loss: 4.136763572692871
train per: 0.8362296078630054
train loss: 4.0781331062316895
train per: 0.8453756832458598
train loss: 3.993586778640747
train per: 0.839595068551387
train loss: 4.156081199645996
train per: 0.8358103504832076
train loss: 4.035651683807373
train per: 0.818505084986843
train loss: 4.11679220199585
train per: 0.8217759223739141
train loss: 4.0671162605285645
train per: 0.8532332283845968
train loss: 4.076255798339844
train per: 0.8355840897350749
train loss: 4.000227451324463
train per: 0.8499618591682668
train loss: 4.152635097503662
train per: 0.8232865029848736
train loss: 4.054692268371582
train per: 0.8428951184146931
train loss: 4.056954383850098
train per: 0.853027737986717
train loss: 4.077476501464844
train per: 0.8270827006782063
train loss: 4.08945369720459
train per: 0.8377563739376771
train loss: 4.381408214569092
train per: 0.8452508562315355
train loss: 4.107803821563721
train per: 0.8203204318648937
train loss: 4.054026126861572
train per: 0.8511487739542551
train loss: 4.017350196838379
train per: 0.8295112398976751
train loss: 4.174178123474121
train per: 0.8501335275552319
train loss: 4.114295482635498
train per: 0.8316575223114419
train loss: 4.161879539489746
train per: 0.8501760227055645
train loss: 4.133313179016113
train per: 0.8349806617963043
train loss: 3.932661533355713
train per: 0.8395585304787696
train loss: 4.117645740509033
train per: 0.8333042980513178
train loss: 3.9475910663604736
train per: 0.8454689449937602
train loss: 4.0311198234558105
train per: 0.8558295905234681
train loss: 3.982046604156494
train per: 0.8506567458811024
train loss: 4.016661643981934
train per: 0.8242809238180702
train loss: 4.027817726135254
train per: 0.8458731627094255
train loss: 4.076167106628418
train per: 0.8423032880745951
train loss: 4.139674663543701
train per: 0.8338245007875617
train loss: 3.9637503623962402
train per: 0.8239116979574995
train loss: 4.054379463195801
train per: 0.8445367573011078
train loss: 4.0434250831604
train per: 0.8389053217667968
train loss: 4.127797603607178
train per: 0.826234597846124
train loss: 4.082703113555908
train per: 0.8379784004379635
train loss: 4.277713775634766
train per: 0.8345321899398439
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 557/2703 [00:00<00:00, 5566.13it/s]


word -> phonemes:  41%|████▏     | 1118/2703 [00:00<00:00, 5591.48it/s]


word -> phonemes:  64%|██████▎   | 1717/2703 [00:00<00:00, 5771.96it/s]


word -> phonemes:  85%|████████▌ | 2301/2703 [00:00<00:00, 5795.09it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5527.28it/s]



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train: 100%|██████████| 3515/3515 [34:57<00:00,  2.09it/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 [34:57<00:00,  1.68it/s]
dev loss: 4.525816440582275
dev per: 0.8623933402705515
train loss: 4.1387834548950195
train per: 0.8294312761784858
train loss: 4.050721645355225
train per: 0.8213860080634937
train loss: 4.108687400817871
train per: 0.8472493790625165
train loss: 4.123503684997559
train per: 0.8413563201233923
train loss: 4.344885349273682
train per: 0.833556017418844
train loss: 3.9604530334472656
train per: 0.8214882032667876
train loss: 4.0902862548828125
train per: 0.8448188110749185
train loss: 4.038736343383789
train per: 0.8441916228763838
train loss: 4.0352783203125
train per: 0.8436382894214219
train loss: 4.174950122833252
train per: 0.8182854387233949
train loss: 4.034236431121826
train per: 0.8413873321349266
train loss: 4.224725246429443
train per: 0.8359274488534598
train loss: 4.349365234375
train per: 0.827351834430856
train loss: 3.959362506866455
train per: 0.8441837628387165
train loss: 4.148728847503662
train per: 0.828911323051948
train loss: 4.119030952453613
train per: 0.8572199875819992
train loss: 4.081121921539307
train per: 0.8319909128459314
train loss: 4.01300048828125
train per: 0.8196572650963797
train loss: 4.032642841339111
train per: 0.8379662627702542
train loss: 3.996623992919922
train per: 0.8204832078348039
train loss: 3.9571290016174316
train per: 0.8462612256293333
train loss: 4.026956558227539
train per: 0.8255547054322877
train loss: 4.061794281005859
train per: 0.8313279158930337
train loss: 3.9898314476013184
train per: 0.8461497411814931
train loss: 4.217700958251953
train per: 0.8467760844079719
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  10%|▉         | 336/3515 [00:00<00:00, 3356.70it/s]

word -> phonemes:  22%|██▏       | 776/3515 [00:00<00:00, 3962.41it/s]

word -> phonemes:  34%|███▍      | 1194/3515 [00:00<00:00, 4058.20it/s]

word -> phonemes:  46%|████▌     | 1610/3515 [00:00<00:00, 4096.16it/s]

word -> phonemes:  58%|█████▊    | 2042/3515 [00:00<00:00, 4175.84it/s]

word -> phonemes:  70%|██████▉   | 2460/3515 [00:00<00:00, 3891.20it/s]

word -> phonemes:  83%|████████▎ | 2902/3515 [00:00<00:00, 4054.01it/s]

word -> phonemes:  95%|█████████▍| 3330/3515 [00:00<00:00, 4122.89it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4071.73it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [35:03<12:46,  1.58s/it]

train:   0%|          | 1/3515 [00:01<1:52:15,  1.92s/it]
overall:  88%|████████▊ | 3517/4000 [35:03<09:21,  1.16s/it]

train:   0%|          | 2/3515 [00:02<52:27,  1.12it/s]  
overall:  88%|████████▊ | 3518/4000 [35:04<07:32,  1.06it/s]

train:   0%|          | 3/3515 [00:02<39:40,  1.48it/s]
overall:  88%|████████▊ | 3519/4000 [35:04<06:27,  1.24it/s]

train:   0%|          | 4/3515 [00:03<35:20,  1.66it/s]
overall:  88%|████████▊ | 3520/4000 [35:05<05:26,  1.47it/s]

train:   0%|          | 5/3515 [00:03<30:47,  1.90it/s]
overall:  88%|████████▊ | 3521/4000 [35:05<04:40,  1.71it/s]

train:   0%|          | 6/3515 [00:03<27:34,  2.12it/s]
overall:  88%|████████▊ | 3522/4000 [35:05<03:42,  2.14it/s]

train:   0%|          | 7/3515 [00:03<22:09,  2.64it/s]
overall:  88%|████████▊ | 3523/4000 [35:06<03:52,  2.06it/s]

train:   0%|          | 8/3515 [00:04<25:01,  2.34it/s]
overall:  88%|████████▊ | 3524/4000 [35:06<03:54,  2.03it/s]

train:   0%|          | 9/3515 [00:04<26:29,  2.21it/s]
overall:  88%|████████▊ | 3525/4000 [35:07<03:35,  2.21it/s]

train:   0%|          | 10/3515 [00:05<24:45,  2.36it/s]
overall:  88%|████████▊ | 3526/4000 [35:07<02:54,  2.71it/s]

train:   0%|          | 11/3515 [00:05<20:17,  2.88it/s]
overall:  88%|████████▊ | 3527/4000 [35:07<03:15,  2.41it/s]

train:   0%|          | 12/3515 [00:06<23:20,  2.50it/s]
overall:  88%|████████▊ | 3528/4000 [35:08<03:18,  2.38it/s]

train:   0%|          | 13/3515 [00:06<23:58,  2.43it/s]
overall:  88%|████████▊ | 3529/4000 [35:08<03:28,  2.26it/s]

train:   0%|          | 14/3515 [00:06<25:28,  2.29it/s]
overall:  88%|████████▊ | 3530/4000 [35:09<03:22,  2.32it/s]

train:   0%|          | 15/3515 [00:07<24:54,  2.34it/s]
overall:  88%|████████▊ | 3531/4000 [35:09<03:23,  2.30it/s]

train:   0%|          | 16/3515 [00:07<25:09,  2.32it/s]
overall:  88%|████████▊ | 3532/4000 [35:10<03:31,  2.21it/s]

train:   0%|          | 17/3515 [00:08<26:11,  2.23it/s]
overall:  88%|████████▊ | 3533/4000 [35:10<03:21,  2.32it/s]

train:   1%|          | 18/3515 [00:08<24:59,  2.33it/s]
overall:  88%|████████▊ | 3534/4000 [35:10<03:29,  2.22it/s]

train:   1%|          | 19/3515 [00:09<26:07,  2.23it/s]
overall:  88%|████████▊ | 3535/4000 [35:11<03:35,  2.15it/s]

train:   1%|          | 20/3515 [00:09<26:59,  2.16it/s]
overall:  88%|████████▊ | 3536/4000 [35:11<03:35,  2.15it/s]

train:   1%|          | 21/3515 [00:10<27:04,  2.15it/s]
overall:  88%|████████▊ | 3537/4000 [35:12<02:54,  2.66it/s]

train:   1%|          | 22/3515 [00:10<21:53,  2.66it/s]
overall:  88%|████████▊ | 3538/4000 [35:12<03:06,  2.48it/s]

train:   1%|          | 23/3515 [00:10<23:27,  2.48it/s]
overall:  88%|████████▊ | 3539/4000 [35:13<03:19,  2.31it/s]

train:   1%|          | 24/3515 [00:11<25:12,  2.31it/s]
overall:  88%|████████▊ | 3540/4000 [35:13<03:41,  2.08it/s]

train:   1%|          | 25/3515 [00:11<27:56,  2.08it/s]
overall:  89%|████████▊ | 3541/4000 [35:14<03:42,  2.07it/s]

train:   1%|          | 26/3515 [00:12<28:07,  2.07it/s]
overall:  89%|████████▊ | 3542/4000 [35:14<03:38,  2.09it/s]

train:   1%|          | 27/3515 [00:12<27:45,  2.09it/s]
overall:  89%|████████▊ | 3543/4000 [35:14<02:57,  2.58it/s]

train:   1%|          | 28/3515 [00:13<22:33,  2.58it/s]
overall:  89%|████████▊ | 3544/4000 [35:15<03:09,  2.41it/s]

train:   1%|          | 29/3515 [00:13<24:05,  2.41it/s]
overall:  89%|████████▊ | 3545/4000 [35:15<02:36,  2.92it/s]

train:   1%|          | 30/3515 [00:13<19:55,  2.92it/s]
overall:  89%|████████▊ | 3546/4000 [35:15<02:57,  2.56it/s]

train:   1%|          | 31/3515 [00:14<22:38,  2.56it/s]
overall:  89%|████████▊ | 3547/4000 [35:16<03:13,  2.35it/s]

train:   1%|          | 32/3515 [00:14<24:44,  2.35it/s]
overall:  89%|████████▊ | 3548/4000 [35:16<03:20,  2.25it/s]

train:   1%|          | 33/3515 [00:15<25:44,  2.25it/s]
overall:  89%|████████▊ | 3549/4000 [35:17<03:26,  2.19it/s]

train:   1%|          | 34/3515 [00:15<26:30,  2.19it/s]
overall:  89%|████████▉ | 3550/4000 [35:17<03:20,  2.25it/s]

train:   1%|          | 35/3515 [00:16<25:47,  2.25it/s]
overall:  89%|████████▉ | 3551/4000 [35:18<03:29,  2.14it/s]

train:   1%|          | 36/3515 [00:16<27:04,  2.14it/s]
overall:  89%|████████▉ | 3552/4000 [35:18<03:48,  1.96it/s]

train:   1%|          | 37/3515 [00:17<29:33,  1.96it/s]
overall:  89%|████████▉ | 3553/4000 [35:19<03:45,  1.98it/s]

train:   1%|          | 38/3515 [00:17<29:16,  1.98it/s]
overall:  89%|████████▉ | 3554/4000 [35:19<03:44,  1.99it/s]

train:   1%|          | 39/3515 [00:18<29:05,  1.99it/s]
overall:  89%|████████▉ | 3555/4000 [35:20<03:00,  2.47it/s]

train:   1%|          | 40/3515 [00:18<23:28,  2.47it/s]
overall:  89%|████████▉ | 3556/4000 [35:20<03:07,  2.36it/s]

train:   1%|          | 41/3515 [00:18<24:30,  2.36it/s]
overall:  89%|████████▉ | 3557/4000 [35:21<03:15,  2.27it/s]

train:   1%|          | 42/3515 [00:19<25:30,  2.27it/s]
overall:  89%|████████▉ | 3558/4000 [35:21<03:19,  2.21it/s]

train:   1%|          | 43/3515 [00:19<26:08,  2.21it/s]
overall:  89%|████████▉ | 3559/4000 [35:21<02:53,  2.55it/s]

train:   1%|▏         | 44/3515 [00:20<22:43,  2.55it/s]
overall:  89%|████████▉ | 3560/4000 [35:22<03:06,  2.36it/s]

train:   1%|▏         | 45/3515 [00:20<24:33,  2.35it/s]
overall:  89%|████████▉ | 3561/4000 [35:22<03:15,  2.25it/s]

train:   1%|▏         | 46/3515 [00:21<25:43,  2.25it/s]
overall:  89%|████████▉ | 3562/4000 [35:23<03:22,  2.16it/s]

train:   1%|▏         | 47/3515 [00:21<26:44,  2.16it/s]
overall:  89%|████████▉ | 3563/4000 [35:23<02:58,  2.45it/s]

train:   1%|▏         | 48/3515 [00:21<23:35,  2.45it/s]
overall:  89%|████████▉ | 3564/4000 [35:24<03:29,  2.08it/s]

train:   1%|▏         | 49/3515 [00:22<27:43,  2.08it/s]
overall:  89%|████████▉ | 3565/4000 [35:24<02:56,  2.46it/s]

train:   1%|▏         | 50/3515 [00:22<23:27,  2.46it/s]
overall:  89%|████████▉ | 3566/4000 [35:24<03:07,  2.31it/s]

train:   1%|▏         | 51/3515 [00:23<24:56,  2.31it/s]
overall:  89%|████████▉ | 3567/4000 [35:25<03:08,  2.30it/s]

train:   1%|▏         | 52/3515 [00:23<25:06,  2.30it/s]
overall:  89%|████████▉ | 3568/4000 [35:25<02:33,  2.81it/s]

train:   2%|▏         | 53/3515 [00:23<20:30,  2.81it/s]
overall:  89%|████████▉ | 3569/4000 [35:26<02:48,  2.55it/s]

train:   2%|▏         | 54/3515 [00:24<22:35,  2.55it/s]
overall:  89%|████████▉ | 3570/4000 [35:26<02:57,  2.42it/s]

train:   2%|▏         | 55/3515 [00:24<23:49,  2.42it/s]
overall:  89%|████████▉ | 3571/4000 [35:27<03:08,  2.27it/s]

train:   2%|▏         | 56/3515 [00:25<25:22,  2.27it/s]
overall:  89%|████████▉ | 3572/4000 [35:27<03:16,  2.18it/s]

train:   2%|▏         | 57/3515 [00:25<26:26,  2.18it/s]
overall:  89%|████████▉ | 3573/4000 [35:28<03:16,  2.17it/s]

train:   2%|▏         | 58/3515 [00:26<26:33,  2.17it/s]
overall:  89%|████████▉ | 3574/4000 [35:28<03:20,  2.13it/s]

train:   2%|▏         | 59/3515 [00:26<27:03,  2.13it/s]
overall:  89%|████████▉ | 3575/4000 [35:28<03:21,  2.11it/s]

train:   2%|▏         | 60/3515 [00:27<27:14,  2.11it/s]
overall:  89%|████████▉ | 3576/4000 [35:29<03:42,  1.91it/s]

train:   2%|▏         | 61/3515 [00:27<30:12,  1.91it/s]
overall:  89%|████████▉ | 3577/4000 [35:30<03:30,  2.01it/s]

train:   2%|▏         | 62/3515 [00:28<28:37,  2.01it/s]
overall:  89%|████████▉ | 3578/4000 [35:30<03:28,  2.03it/s]

train:   2%|▏         | 63/3515 [00:28<28:24,  2.03it/s]
overall:  89%|████████▉ | 3579/4000 [35:31<03:28,  2.02it/s]

train:   2%|▏         | 64/3515 [00:29<28:29,  2.02it/s]
overall:  90%|████████▉ | 3580/4000 [35:31<03:28,  2.01it/s]

train:   2%|▏         | 65/3515 [00:29<28:32,  2.01it/s]
overall:  90%|████████▉ | 3581/4000 [35:32<03:26,  2.03it/s]

train:   2%|▏         | 66/3515 [00:30<28:15,  2.03it/s]
overall:  90%|████████▉ | 3582/4000 [35:32<03:26,  2.02it/s]

train:   2%|▏         | 67/3515 [00:30<28:25,  2.02it/s]
overall:  90%|████████▉ | 3583/4000 [35:32<03:23,  2.05it/s]

train:   2%|▏         | 68/3515 [00:31<28:02,  2.05it/s]
overall:  90%|████████▉ | 3584/4000 [35:33<02:50,  2.44it/s]

train:   2%|▏         | 69/3515 [00:31<23:31,  2.44it/s]
overall:  90%|████████▉ | 3586/4000 [35:33<02:26,  2.82it/s]

train:   2%|▏         | 71/3515 [00:32<20:20,  2.82it/s]
overall:  90%|████████▉ | 3587/4000 [35:34<02:38,  2.60it/s]

train:   2%|▏         | 72/3515 [00:32<22:03,  2.60it/s]
overall:  90%|████████▉ | 3588/4000 [35:34<03:03,  2.25it/s]

train:   2%|▏         | 73/3515 [00:33<25:32,  2.25it/s]
overall:  90%|████████▉ | 3589/4000 [35:35<03:09,  2.17it/s]

train:   2%|▏         | 74/3515 [00:33<26:24,  2.17it/s]
overall:  90%|████████▉ | 3590/4000 [35:35<03:12,  2.13it/s]

train:   2%|▏         | 75/3515 [00:34<26:55,  2.13it/s]
overall:  90%|████████▉ | 3591/4000 [35:36<03:06,  2.20it/s]

train:   2%|▏         | 76/3515 [00:34<26:05,  2.20it/s]
overall:  90%|████████▉ | 3592/4000 [35:36<02:58,  2.29it/s]

train:   2%|▏         | 77/3515 [00:34<25:03,  2.29it/s]
overall:  90%|████████▉ | 3593/4000 [35:37<03:06,  2.18it/s]

train:   2%|▏         | 78/3515 [00:35<26:18,  2.18it/s]
overall:  90%|████████▉ | 3594/4000 [35:37<03:06,  2.17it/s]

train:   2%|▏         | 79/3515 [00:35<26:21,  2.17it/s]
overall:  90%|████████▉ | 3595/4000 [35:38<02:55,  2.31it/s]

train:   2%|▏         | 80/3515 [00:36<24:47,  2.31it/s]
overall:  90%|████████▉ | 3596/4000 [35:38<02:54,  2.31it/s]

train:   2%|▏         | 81/3515 [00:36<24:46,  2.31it/s]
overall:  90%|████████▉ | 3597/4000 [35:38<03:02,  2.21it/s]

train:   2%|▏         | 82/3515 [00:37<25:53,  2.21it/s]
overall:  90%|████████▉ | 3598/4000 [35:39<02:59,  2.24it/s]

train:   2%|▏         | 83/3515 [00:37<25:34,  2.24it/s]
overall:  90%|████████▉ | 3599/4000 [35:39<02:51,  2.34it/s]

train:   2%|▏         | 84/3515 [00:38<24:28,  2.34it/s]
overall:  90%|█████████ | 3600/4000 [35:40<03:20,  1.99it/s]

train:   2%|▏         | 85/3515 [00:38<28:41,  1.99it/s]
overall:  90%|█████████ | 3601/4000 [35:40<03:19,  2.00it/s]

train:   2%|▏         | 86/3515 [00:39<28:30,  2.00it/s]
overall:  90%|█████████ | 3602/4000 [35:41<03:10,  2.08it/s]

train:   2%|▏         | 87/3515 [00:39<27:24,  2.08it/s]
overall:  90%|█████████ | 3603/4000 [35:41<03:11,  2.07it/s]

train:   3%|▎         | 88/3515 [00:40<27:34,  2.07it/s]
overall:  90%|█████████ | 3604/4000 [35:42<03:12,  2.05it/s]

train:   3%|▎         | 89/3515 [00:40<27:49,  2.05it/s]
overall:  90%|█████████ | 3605/4000 [35:42<02:28,  2.67it/s]

train:   3%|▎         | 90/3515 [00:40<21:25,  2.67it/s]
overall:  90%|█████████ | 3606/4000 [35:42<02:28,  2.66it/s]

train:   3%|▎         | 91/3515 [00:41<21:26,  2.66it/s]
overall:  90%|█████████ | 3607/4000 [35:43<02:40,  2.45it/s]

train:   3%|▎         | 92/3515 [00:41<23:18,  2.45it/s]
overall:  90%|█████████ | 3608/4000 [35:43<02:33,  2.55it/s]

train:   3%|▎         | 93/3515 [00:41<22:21,  2.55it/s]
overall:  90%|█████████ | 3609/4000 [35:44<02:39,  2.45it/s]

train:   3%|▎         | 94/3515 [00:42<23:15,  2.45it/s]
overall:  90%|█████████ | 3610/4000 [35:44<02:46,  2.35it/s]

train:   3%|▎         | 95/3515 [00:42<24:17,  2.35it/s]
overall:  90%|█████████ | 3611/4000 [35:45<02:55,  2.22it/s]

train:   3%|▎         | 96/3515 [00:43<25:40,  2.22it/s]
overall:  90%|█████████ | 3612/4000 [35:45<03:16,  1.97it/s]

train:   3%|▎         | 97/3515 [00:43<28:52,  1.97it/s]
overall:  90%|█████████ | 3613/4000 [35:46<03:07,  2.06it/s]

train:   3%|▎         | 98/3515 [00:44<27:39,  2.06it/s]
overall:  90%|█████████ | 3614/4000 [35:46<03:06,  2.07it/s]

train:   3%|▎         | 99/3515 [00:44<27:32,  2.07it/s]
overall:  90%|█████████ | 3615/4000 [35:47<03:07,  2.05it/s]

train:   3%|▎         | 100/3515 [00:45<27:42,  2.05it/s]
overall:  90%|█████████ | 3616/4000 [35:47<03:09,  2.02it/s]

train:   3%|▎         | 101/3515 [00:45<28:08,  2.02it/s]
overall:  90%|█████████ | 3617/4000 [35:48<03:08,  2.03it/s]

train:   3%|▎         | 102/3515 [00:46<27:57,  2.03it/s]
overall:  90%|█████████ | 3618/4000 [35:48<03:09,  2.01it/s]

train:   3%|▎         | 103/3515 [00:46<28:13,  2.01it/s]
overall:  90%|█████████ | 3619/4000 [35:49<03:09,  2.01it/s]

train:   3%|▎         | 104/3515 [00:47<28:19,  2.01it/s]
overall:  90%|█████████ | 3620/4000 [35:49<03:09,  2.00it/s]

train:   3%|▎         | 105/3515 [00:47<28:21,  2.00it/s]
overall:  91%|█████████ | 3621/4000 [35:50<03:11,  1.97it/s]

train:   3%|▎         | 106/3515 [00:48<28:46,  1.97it/s]
overall:  91%|█████████ | 3622/4000 [35:50<03:06,  2.02it/s]

train:   3%|▎         | 107/3515 [00:48<28:03,  2.02it/s]
overall:  91%|█████████ | 3623/4000 [35:51<03:05,  2.03it/s]

train:   3%|▎         | 108/3515 [00:49<27:56,  2.03it/s]
overall:  91%|█████████ | 3624/4000 [35:51<03:23,  1.84it/s]

train:   3%|▎         | 109/3515 [00:50<30:46,  1.84it/s]
overall:  91%|█████████ | 3625/4000 [35:52<03:19,  1.88it/s]

train:   3%|▎         | 110/3515 [00:50<30:11,  1.88it/s]
overall:  91%|█████████ | 3626/4000 [35:52<03:07,  1.99it/s]

train:   3%|▎         | 111/3515 [00:50<28:27,  1.99it/s]
overall:  91%|█████████ | 3627/4000 [35:53<03:06,  2.01it/s]

train:   3%|▎         | 112/3515 [00:51<28:17,  2.01it/s]
overall:  91%|█████████ | 3628/4000 [35:53<02:30,  2.48it/s]

train:   3%|▎         | 113/3515 [00:51<22:53,  2.48it/s]
overall:  91%|█████████ | 3629/4000 [35:53<02:37,  2.35it/s]

train:   3%|▎         | 114/3515 [00:52<24:04,  2.35it/s]
overall:  91%|█████████ | 3630/4000 [35:54<02:42,  2.28it/s]

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overall:  91%|█████████ | 3634/4000 [35:56<02:55,  2.08it/s]

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train:   3%|▎         | 122/3515 [00:56<29:50,  1.89it/s]
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train:   4%|▎         | 124/3515 [00:57<28:36,  1.98it/s]
overall:  91%|█████████ | 3640/4000 [35:59<03:00,  1.99it/s]

train:   4%|▎         | 125/3515 [00:57<28:22,  1.99it/s]
overall:  91%|█████████ | 3641/4000 [35:59<02:59,  2.00it/s]

train:   4%|▎         | 126/3515 [00:58<28:13,  2.00it/s]
overall:  91%|█████████ | 3642/4000 [36:00<02:58,  2.01it/s]

train:   4%|▎         | 127/3515 [00:58<28:07,  2.01it/s]
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train:   4%|▎         | 128/3515 [00:59<28:12,  2.00it/s]
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train:   4%|▍         | 149/3515 [01:08<23:24,  2.40it/s]
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train:   4%|▍         | 150/3515 [01:08<24:41,  2.27it/s]
overall:  92%|█████████▏| 3666/4000 [36:11<02:31,  2.20it/s]

train:   4%|▍         | 151/3515 [01:09<25:30,  2.20it/s]
overall:  92%|█████████▏| 3667/4000 [36:11<02:03,  2.70it/s]

train:   4%|▍         | 152/3515 [01:09<20:43,  2.70it/s]
overall:  92%|█████████▏| 3669/4000 [36:11<01:49,  3.02it/s]

train:   4%|▍         | 154/3515 [01:09<18:34,  3.02it/s]
overall:  92%|█████████▏| 3670/4000 [36:12<02:03,  2.68it/s]

train:   4%|▍         | 155/3515 [01:10<20:55,  2.68it/s]
overall:  92%|█████████▏| 3671/4000 [36:12<02:12,  2.49it/s]

train:   4%|▍         | 156/3515 [01:10<22:31,  2.49it/s]
overall:  92%|█████████▏| 3672/4000 [36:13<02:28,  2.21it/s]

train:   4%|▍         | 157/3515 [01:11<25:17,  2.21it/s]
overall:  92%|█████████▏| 3673/4000 [36:13<01:58,  2.77it/s]

train:   4%|▍         | 158/3515 [01:11<20:11,  2.77it/s]
overall:  92%|█████████▏| 3674/4000 [36:13<02:09,  2.53it/s]

train:   5%|▍         | 159/3515 [01:12<22:08,  2.53it/s]
overall:  92%|█████████▏| 3675/4000 [36:14<02:22,  2.28it/s]

train:   5%|▍         | 160/3515 [01:12<24:32,  2.28it/s]
overall:  92%|█████████▏| 3676/4000 [36:14<02:25,  2.22it/s]

train:   5%|▍         | 161/3515 [01:13<25:09,  2.22it/s]
overall:  92%|█████████▏| 3677/4000 [36:15<02:23,  2.25it/s]

train:   5%|▍         | 162/3515 [01:13<24:51,  2.25it/s]
overall:  92%|█████████▏| 3678/4000 [36:15<02:27,  2.18it/s]

train:   5%|▍         | 163/3515 [01:14<25:36,  2.18it/s]
overall:  92%|█████████▏| 3679/4000 [36:16<02:29,  2.14it/s]

train:   5%|▍         | 164/3515 [01:14<26:05,  2.14it/s]
overall:  92%|█████████▏| 3680/4000 [36:16<02:30,  2.12it/s]

train:   5%|▍         | 165/3515 [01:15<26:17,  2.12it/s]
overall:  92%|█████████▏| 3681/4000 [36:17<02:34,  2.07it/s]

train:   5%|▍         | 166/3515 [01:15<27:00,  2.07it/s]
overall:  92%|█████████▏| 3682/4000 [36:17<02:04,  2.56it/s]

train:   5%|▍         | 167/3515 [01:15<21:50,  2.56it/s]
overall:  92%|█████████▏| 3683/4000 [36:18<02:11,  2.42it/s]

train:   5%|▍         | 168/3515 [01:16<23:03,  2.42it/s]
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train:   5%|▍         | 169/3515 [01:16<26:03,  2.14it/s]
overall:  92%|█████████▏| 3685/4000 [36:19<02:23,  2.19it/s]

train:   5%|▍         | 170/3515 [01:17<25:26,  2.19it/s]
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train:   5%|▍         | 171/3515 [01:17<25:30,  2.18it/s]
overall:  92%|█████████▏| 3687/4000 [36:19<02:18,  2.26it/s]

train:   5%|▍         | 172/3515 [01:18<24:36,  2.26it/s]
overall:  92%|█████████▏| 3688/4000 [36:20<02:15,  2.30it/s]

train:   5%|▍         | 173/3515 [01:18<24:12,  2.30it/s]
overall:  92%|█████████▏| 3689/4000 [36:20<02:19,  2.22it/s]

train:   5%|▍         | 174/3515 [01:19<25:03,  2.22it/s]
overall:  92%|█████████▏| 3690/4000 [36:21<02:24,  2.14it/s]

train:   5%|▍         | 175/3515 [01:19<25:59,  2.14it/s]
overall:  92%|█████████▏| 3691/4000 [36:21<02:28,  2.09it/s]

train:   5%|▌         | 176/3515 [01:20<26:39,  2.09it/s]
overall:  92%|█████████▏| 3692/4000 [36:22<02:30,  2.05it/s]

train:   5%|▌         | 177/3515 [01:20<27:08,  2.05it/s]
overall:  92%|█████████▏| 3693/4000 [36:22<02:31,  2.03it/s]

train:   5%|▌         | 178/3515 [01:21<27:23,  2.03it/s]
overall:  92%|█████████▏| 3694/4000 [36:23<02:31,  2.02it/s]

train:   5%|▌         | 179/3515 [01:21<27:35,  2.02it/s]
overall:  92%|█████████▏| 3695/4000 [36:23<02:10,  2.33it/s]

train:   5%|▌         | 180/3515 [01:21<23:49,  2.33it/s]
overall:  92%|█████████▏| 3696/4000 [36:24<02:15,  2.25it/s]

train:   5%|▌         | 181/3515 [01:22<24:42,  2.25it/s]
overall:  92%|█████████▏| 3697/4000 [36:24<01:44,  2.90it/s]

train:   5%|▌         | 182/3515 [01:22<19:10,  2.90it/s]
overall:  92%|█████████▏| 3698/4000 [36:24<01:57,  2.56it/s]

train:   5%|▌         | 183/3515 [01:22<21:40,  2.56it/s]
overall:  92%|█████████▏| 3699/4000 [36:25<02:11,  2.29it/s]

train:   5%|▌         | 184/3515 [01:23<24:11,  2.29it/s]
overall:  92%|█████████▎| 3700/4000 [36:25<02:11,  2.29it/s]

train:   5%|▌         | 185/3515 [01:23<24:16,  2.29it/s]
overall:  93%|█████████▎| 3701/4000 [36:26<02:15,  2.21it/s]

train:   5%|▌         | 186/3515 [01:24<25:08,  2.21it/s]
overall:  93%|█████████▎| 3702/4000 [36:26<02:08,  2.32it/s]

train:   5%|▌         | 187/3515 [01:24<23:55,  2.32it/s]
overall:  93%|█████████▎| 3703/4000 [36:27<02:15,  2.19it/s]

train:   5%|▌         | 188/3515 [01:25<25:16,  2.19it/s]
overall:  93%|█████████▎| 3704/4000 [36:27<02:15,  2.18it/s]

train:   5%|▌         | 189/3515 [01:25<25:23,  2.18it/s]
overall:  93%|█████████▎| 3705/4000 [36:27<02:08,  2.30it/s]

train:   5%|▌         | 190/3515 [01:26<24:08,  2.30it/s]
overall:  93%|█████████▎| 3706/4000 [36:28<02:13,  2.20it/s]

train:   5%|▌         | 191/3515 [01:26<25:12,  2.20it/s]
overall:  93%|█████████▎| 3707/4000 [36:28<01:53,  2.58it/s]

train:   5%|▌         | 192/3515 [01:26<21:28,  2.58it/s]
overall:  93%|█████████▎| 3708/4000 [36:29<02:07,  2.30it/s]

train:   5%|▌         | 193/3515 [01:27<24:05,  2.30it/s]
overall:  93%|█████████▎| 3709/4000 [36:29<02:04,  2.33it/s]

train:   6%|▌         | 194/3515 [01:27<23:43,  2.33it/s]
overall:  93%|█████████▎| 3710/4000 [36:29<01:53,  2.56it/s]

train:   6%|▌         | 195/3515 [01:28<21:37,  2.56it/s]
overall:  93%|█████████▎| 3711/4000 [36:30<02:06,  2.28it/s]

train:   6%|▌         | 196/3515 [01:28<24:13,  2.28it/s]
overall:  93%|█████████▎| 3712/4000 [36:30<02:09,  2.22it/s]

train:   6%|▌         | 197/3515 [01:29<24:53,  2.22it/s]
overall:  93%|█████████▎| 3713/4000 [36:31<02:11,  2.18it/s]

train:   6%|▌         | 198/3515 [01:29<25:20,  2.18it/s]
overall:  93%|█████████▎| 3714/4000 [36:31<02:10,  2.19it/s]

train:   6%|▌         | 199/3515 [01:30<25:16,  2.19it/s]
overall:  93%|█████████▎| 3715/4000 [36:32<01:53,  2.51it/s]

train:   6%|▌         | 200/3515 [01:30<22:00,  2.51it/s]
overall:  93%|█████████▎| 3716/4000 [36:32<02:00,  2.37it/s]

train:   6%|▌         | 201/3515 [01:30<23:21,  2.37it/s]
overall:  93%|█████████▎| 3717/4000 [36:33<01:59,  2.38it/s]

train:   6%|▌         | 202/3515 [01:31<23:13,  2.38it/s]
overall:  93%|█████████▎| 3718/4000 [36:33<02:03,  2.28it/s]

train:   6%|▌         | 203/3515 [01:31<24:11,  2.28it/s]
overall:  93%|█████████▎| 3719/4000 [36:33<02:09,  2.17it/s]

train:   6%|▌         | 204/3515 [01:32<25:22,  2.17it/s]
overall:  93%|█████████▎| 3720/4000 [36:34<02:23,  1.95it/s]

train:   6%|▌         | 205/3515 [01:32<28:20,  1.95it/s]
overall:  93%|█████████▎| 3721/4000 [36:35<02:21,  1.97it/s]

train:   6%|▌         | 206/3515 [01:33<27:59,  1.97it/s]
overall:  93%|█████████▎| 3722/4000 [36:35<02:19,  2.00it/s]

train:   6%|▌         | 207/3515 [01:33<27:34,  2.00it/s]
overall:  93%|█████████▎| 3723/4000 [36:36<02:22,  1.94it/s]

train:   6%|▌         | 208/3515 [01:34<28:22,  1.94it/s]
overall:  93%|█████████▎| 3724/4000 [36:36<02:17,  2.00it/s]

train:   6%|▌         | 209/3515 [01:34<27:30,  2.00it/s]
overall:  93%|█████████▎| 3725/4000 [36:37<02:14,  2.04it/s]

train:   6%|▌         | 210/3515 [01:35<27:02,  2.04it/s]
overall:  93%|█████████▎| 3726/4000 [36:37<02:13,  2.05it/s]

train:   6%|▌         | 211/3515 [01:35<26:54,  2.05it/s]
overall:  93%|█████████▎| 3727/4000 [36:38<02:14,  2.03it/s]

train:   6%|▌         | 212/3515 [01:36<27:08,  2.03it/s]
overall:  93%|█████████▎| 3728/4000 [36:38<02:09,  2.10it/s]

train:   6%|▌         | 213/3515 [01:36<26:14,  2.10it/s]
overall:  93%|█████████▎| 3729/4000 [36:39<02:09,  2.09it/s]

train:   6%|▌         | 214/3515 [01:37<26:20,  2.09it/s]
overall:  93%|█████████▎| 3730/4000 [36:39<02:06,  2.14it/s]

train:   6%|▌         | 215/3515 [01:37<25:44,  2.14it/s]
overall:  93%|█████████▎| 3731/4000 [36:39<02:03,  2.18it/s]

train:   6%|▌         | 216/3515 [01:38<25:12,  2.18it/s]
overall:  93%|█████████▎| 3732/4000 [36:40<02:16,  1.97it/s]

train:   6%|▌         | 217/3515 [01:38<27:57,  1.97it/s]
overall:  93%|█████████▎| 3733/4000 [36:41<02:15,  1.98it/s]

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overall:  93%|█████████▎| 3734/4000 [36:41<02:13,  1.99it/s]

train:   6%|▌         | 219/3515 [01:39<27:37,  1.99it/s]
overall:  93%|█████████▎| 3735/4000 [36:42<02:14,  1.97it/s]

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train:   6%|▋         | 221/3515 [01:40<27:44,  1.98it/s]
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train:   6%|▋         | 222/3515 [01:41<27:07,  2.02it/s]
overall:  93%|█████████▎| 3738/4000 [36:43<02:06,  2.07it/s]

train:   6%|▋         | 223/3515 [01:41<26:33,  2.07it/s]
overall:  93%|█████████▎| 3739/4000 [36:43<02:02,  2.13it/s]

train:   6%|▋         | 224/3515 [01:42<25:43,  2.13it/s]
overall:  94%|█████████▎| 3740/4000 [36:44<02:03,  2.10it/s]

train:   6%|▋         | 225/3515 [01:42<26:07,  2.10it/s]
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train:   7%|▋         | 229/3515 [01:44<24:12,  2.26it/s]
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overall:  99%|█████████▉| 3975/4000 [38:32<00:11,  2.09it/s]

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overall:  99%|█████████▉| 3976/4000 [38:32<00:11,  2.08it/s]

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overall:  99%|█████████▉| 3979/4000 [38:33<00:09,  2.19it/s]

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train:  14%|█▍        | 484/3515 [03:40<22:43,  2.22it/s]train loss: 4.124383449554443
train per: 0.8341819953709343
train loss: 4.330136775970459
train per: 0.8530328179144463
train loss: 3.992635726928711
train per: 0.8328539062698878
train loss: 4.123417377471924
train per: 0.8263829787234043
train loss: 4.090423583984375
train per: 0.8283084413114588
train loss: 3.984868288040161
train per: 0.8359878932221891
train loss: 4.048939228057861
train per: 0.823017785427424
train loss: 3.9871773719787598
train per: 0.8324059421103681
train loss: 4.241556167602539
train per: 0.8309048298349296
train loss: 4.185062885284424
train per: 0.8456037998864164
train loss: 4.122893810272217
train per: 0.8525025376747092
train loss: 3.970552921295166
train per: 0.8166666666666667
train loss: 4.017786026000977
train per: 0.8454442344045369
train loss: 4.157409191131592
train per: 0.8236706779085855
train loss: 4.2279229164123535
train per: 0.8370143727663075
train loss: 4.017601490020752
train per: 0.8416736486658034
train loss: 3.954162120819092
train per: 0.8225456874045614
train loss: 4.110011577606201
train per: 0.8232162380567571
train loss: 4.099695205688477
train per: 0.8343366063058173
train loss: 3.9237124919891357
train per: 0.8269891342446547
train loss: 4.218428611755371
train per: 0.838980463980464
train loss: 4.164780616760254
train per: 0.8232517096845356
train loss: 4.060212135314941
train per: 0.8378732632682729
train loss: 4.321815013885498
train per: 0.8526308111262401
train loss: 4.243556499481201
train per: 0.8395749739931639
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 571/2703 [00:00<00:00, 5700.65it/s]


word -> phonemes:  42%|████▏     | 1142/2703 [00:00<00:00, 5532.87it/s]


word -> phonemes:  63%|██████▎   | 1696/2703 [00:00<00:00, 4979.53it/s]


word -> phonemes:  82%|████████▏ | 2219/2703 [00:00<00:00, 5070.74it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5209.62it/s]



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overall: 100%|█████████▉| 3999/4000 [41:23<00:00,  2.22it/s]

train:  14%|█▍        | 484/3515 [06:21<22:43,  2.22it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [41:23<00:00,  2.22it/s]

train:  14%|█▍        | 484/3515 [06:21<22:43,  2.22it/s]
overall: 100%|██████████| 4000/4000 [41:23<00:00, 48.56s/it]

train:  14%|█▍        | 485/3515 [06:21<40:52:18, 48.56s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [06:22<39:47,  1.27it/s]   

overall: 100%|██████████| 4000/4000 [41:24<00:00,  1.61it/s]
dev loss: 4.431083679199219
dev per: 0.8471227887617065
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt