/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")
2023-10-10 20:15:53 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/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
mert_95M_4196_encode {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_95M_4196_encode

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:   8%|▊         | 290/3515 [00:00<00:01, 2886.91it/s]

word -> phonemes:  16%|█▋        | 579/3515 [00:00<00:01, 2677.38it/s]

word -> phonemes:  25%|██▌       | 891/3515 [00:00<00:00, 2862.69it/s]

word -> phonemes:  34%|███▎      | 1179/3515 [00:00<00:00, 2824.68it/s]

word -> phonemes:  43%|████▎     | 1498/3515 [00:00<00:00, 2951.43it/s]

word -> phonemes:  51%|█████     | 1794/3515 [00:00<00:00, 2906.77it/s]

word -> phonemes:  60%|█████▉    | 2096/3515 [00:00<00:00, 2937.42it/s]

word -> phonemes:  68%|██████▊   | 2391/3515 [00:00<00:00, 2815.05it/s]

word -> phonemes:  77%|███████▋  | 2699/3515 [00:00<00:00, 2885.01it/s]

word -> phonemes:  85%|████████▌ | 2989/3515 [00:01<00:00, 2718.22it/s]

word -> phonemes:  93%|█████████▎| 3286/3515 [00:01<00:00, 2788.22it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2826.63it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<4:01:27,  3.62s/it]

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overall:   0%|          | 2/4000 [00:04<2:09:41,  1.95s/it]

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overall:   0%|          | 5/4000 [00:05<53:34,  1.24it/s]  

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overall:   0%|          | 7/4000 [00:06<40:13,  1.65it/s]

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overall:   0%|          | 8/4000 [00:07<37:01,  1.80it/s]

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overall:   0%|          | 9/4000 [00:07<35:58,  1.85it/s]

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overall:   0%|          | 15/4000 [00:10<28:25,  2.34it/s]

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overall:   0%|          | 20/4000 [00:12<27:30,  2.41it/s]

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overall:   1%|          | 21/4000 [00:13<27:29,  2.41it/s]

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overall:   1%|          | 23/4000 [00:13<27:59,  2.37it/s]

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overall:   1%|          | 24/4000 [00:14<22:08,  2.99it/s]

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overall:   1%|          | 32/4000 [00:17<29:18,  2.26it/s]

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overall:   1%|          | 33/4000 [00:18<35:17,  1.87it/s]

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overall:   1%|          | 34/4000 [00:18<34:42,  1.90it/s]

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overall:   1%|          | 35/4000 [00:19<35:19,  1.87it/s]

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overall:   1%|          | 36/4000 [00:19<29:53,  2.21it/s]

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overall:   1%|          | 37/4000 [00:20<31:09,  2.12it/s]

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overall:   1%|          | 38/4000 [00:20<32:04,  2.06it/s]

train:   1%|          | 38/3515 [00:18<28:08,  2.06it/s]
overall:   1%|          | 39/4000 [00:21<32:15,  2.05it/s]

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overall:   1%|          | 40/4000 [00:21<31:46,  2.08it/s]

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overall:   1%|          | 41/4000 [00:22<32:07,  2.05it/s]

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overall:   1%|          | 42/4000 [00:22<24:29,  2.69it/s]

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overall:   1%|▏         | 50/4000 [00:26<37:48,  1.74it/s]

train:   1%|▏         | 50/3515 [00:23<33:09,  1.74it/s]
overall:   1%|▏         | 51/4000 [00:26<35:15,  1.87it/s]

train:   1%|▏         | 51/3515 [00:24<30:56,  1.87it/s]
overall:   1%|▏         | 52/4000 [00:27<34:18,  1.92it/s]

train:   1%|▏         | 52/3515 [00:24<30:06,  1.92it/s]
overall:   1%|▏         | 53/4000 [00:27<34:18,  1.92it/s]

train:   2%|▏         | 53/3515 [00:25<30:05,  1.92it/s]
overall:   1%|▏         | 54/4000 [00:28<33:34,  1.96it/s]

train:   2%|▏         | 54/3515 [00:25<29:26,  1.96it/s]
overall:   1%|▏         | 55/4000 [00:28<30:48,  2.13it/s]

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overall:   1%|▏         | 56/4000 [00:29<29:23,  2.24it/s]

train:   2%|▏         | 56/3515 [00:26<25:46,  2.24it/s]
overall:   1%|▏         | 57/4000 [00:29<30:59,  2.12it/s]

train:   2%|▏         | 57/3515 [00:27<27:10,  2.12it/s]
overall:   1%|▏         | 58/4000 [00:30<31:42,  2.07it/s]

train:   2%|▏         | 58/3515 [00:27<27:48,  2.07it/s]
overall:   1%|▏         | 59/4000 [00:30<32:10,  2.04it/s]

train:   2%|▏         | 59/3515 [00:28<28:12,  2.04it/s]
overall:   2%|▏         | 60/4000 [00:31<32:27,  2.02it/s]

train:   2%|▏         | 60/3515 [00:28<28:27,  2.02it/s]
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overall:   2%|▏         | 66/4000 [00:33<31:19,  2.09it/s]

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overall:   2%|▏         | 68/4000 [00:34<31:15,  2.10it/s]

train:   2%|▏         | 68/3515 [00:32<27:23,  2.10it/s]
overall:   2%|▏         | 69/4000 [00:35<31:39,  2.07it/s]

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overall:   2%|▏         | 75/4000 [00:38<34:24,  1.90it/s]

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train:   2%|▏         | 76/3515 [00:36<29:56,  1.91it/s]
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train:   2%|▏         | 77/3515 [00:36<30:00,  1.91it/s]
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train:   5%|▍         | 159/3515 [01:16<28:24,  1.97it/s]
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train:   5%|▍         | 172/3515 [01:22<29:48,  1.87it/s]
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train:   5%|▍         | 173/3515 [01:23<25:20,  2.20it/s]
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train:   5%|▍         | 174/3515 [01:23<26:19,  2.11it/s]
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train:   5%|▍         | 175/3515 [01:24<27:12,  2.05it/s]
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train:   5%|▌         | 176/3515 [01:24<27:33,  2.02it/s]
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train:   5%|▌         | 177/3515 [01:25<28:13,  1.97it/s]
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train:   5%|▌         | 185/3515 [01:29<26:29,  2.10it/s]
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train:   7%|▋         | 263/3515 [02:06<27:03,  2.00it/s]
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train:   8%|▊         | 264/3515 [02:06<27:16,  1.99it/s]
overall:   7%|▋         | 265/4000 [02:09<30:26,  2.05it/s]

train:   8%|▊         | 265/3515 [02:07<26:29,  2.05it/s]
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train:   8%|▊         | 266/3515 [02:08<31:13,  1.73it/s]
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train:   8%|▊         | 267/3515 [02:08<29:41,  1.82it/s]
overall:   7%|▋         | 268/4000 [02:11<32:02,  1.94it/s]

train:   8%|▊         | 268/3515 [02:09<27:52,  1.94it/s]
overall:   7%|▋         | 269/4000 [02:11<29:46,  2.09it/s]

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overall:   7%|▋         | 270/4000 [02:12<29:06,  2.14it/s]

train:   8%|▊         | 270/3515 [02:09<25:19,  2.14it/s]
overall:   7%|▋         | 271/4000 [02:12<30:11,  2.06it/s]

train:   8%|▊         | 271/3515 [02:10<26:15,  2.06it/s]
overall:   7%|▋         | 272/4000 [02:13<30:48,  2.02it/s]

train:   8%|▊         | 272/3515 [02:10<26:48,  2.02it/s]
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train:   8%|▊         | 273/3515 [02:11<27:00,  2.00it/s]
overall:   7%|▋         | 274/4000 [02:14<31:09,  1.99it/s]

train:   8%|▊         | 274/3515 [02:12<27:05,  1.99it/s]
overall:   7%|▋         | 275/4000 [02:14<32:27,  1.91it/s]

train:   8%|▊         | 275/3515 [02:12<28:13,  1.91it/s]
overall:   7%|▋         | 276/4000 [02:15<32:24,  1.92it/s]

train:   8%|▊         | 276/3515 [02:13<28:11,  1.92it/s]
overall:   7%|▋         | 277/4000 [02:15<31:11,  1.99it/s]

train:   8%|▊         | 277/3515 [02:13<27:07,  1.99it/s]
overall:   7%|▋         | 278/4000 [02:16<30:00,  2.07it/s]

train:   8%|▊         | 278/3515 [02:14<26:06,  2.07it/s]
overall:   7%|▋         | 279/4000 [02:16<30:14,  2.05it/s]

train:   8%|▊         | 279/3515 [02:14<26:17,  2.05it/s]
overall:   7%|▋         | 280/4000 [02:17<30:34,  2.03it/s]

train:   8%|▊         | 280/3515 [02:15<26:35,  2.03it/s]
overall:   7%|▋         | 281/4000 [02:17<30:42,  2.02it/s]

train:   8%|▊         | 281/3515 [02:15<26:41,  2.02it/s]
overall:   7%|▋         | 282/4000 [02:18<29:49,  2.08it/s]

train:   8%|▊         | 282/3515 [02:15<25:56,  2.08it/s]
overall:   7%|▋         | 283/4000 [02:18<26:45,  2.32it/s]

train:   8%|▊         | 283/3515 [02:16<23:15,  2.32it/s]
overall:   7%|▋         | 284/4000 [02:19<28:09,  2.20it/s]

train:   8%|▊         | 284/3515 [02:16<24:29,  2.20it/s]
overall:   7%|▋         | 285/4000 [02:19<29:04,  2.13it/s]

train:   8%|▊         | 285/3515 [02:17<25:16,  2.13it/s]
overall:   7%|▋         | 286/4000 [02:20<30:00,  2.06it/s]

train:   8%|▊         | 286/3515 [02:17<26:05,  2.06it/s]
overall:   7%|▋         | 287/4000 [02:20<28:44,  2.15it/s]

train:   8%|▊         | 287/3515 [02:18<24:59,  2.15it/s]
overall:   7%|▋         | 288/4000 [02:20<28:02,  2.21it/s]

train:   8%|▊         | 288/3515 [02:18<24:22,  2.21it/s]
overall:   7%|▋         | 289/4000 [02:21<28:59,  2.13it/s]

train:   8%|▊         | 289/3515 [02:19<25:12,  2.13it/s]
overall:   7%|▋         | 290/4000 [02:22<35:59,  1.72it/s]

train:   8%|▊         | 290/3515 [02:19<31:16,  1.72it/s]
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train:   8%|▊         | 294/3515 [02:21<27:31,  1.95it/s]
overall:   7%|▋         | 295/4000 [02:24<31:38,  1.95it/s]

train:   8%|▊         | 295/3515 [02:22<27:30,  1.95it/s]
overall:   7%|▋         | 296/4000 [02:25<32:10,  1.92it/s]

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train:   8%|▊         | 297/3515 [02:23<27:51,  1.92it/s]
overall:   7%|▋         | 298/4000 [02:26<32:01,  1.93it/s]

train:   8%|▊         | 298/3515 [02:24<27:49,  1.93it/s]
overall:   7%|▋         | 299/4000 [02:26<30:48,  2.00it/s]

train:   9%|▊         | 299/3515 [02:24<26:45,  2.00it/s]
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overall:  12%|█▏        | 482/4000 [03:54<26:41,  2.20it/s]

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overall:  12%|█▏        | 483/4000 [03:55<26:39,  2.20it/s]

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overall:  12%|█▏        | 486/4000 [03:56<25:36,  2.29it/s]

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overall:  12%|█▏        | 487/4000 [03:56<26:50,  2.18it/s]

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overall:  12%|█▏        | 488/4000 [03:57<27:36,  2.12it/s]

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overall:  12%|█▏        | 489/4000 [03:57<27:59,  2.09it/s]

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overall:  12%|█▏        | 491/4000 [03:58<28:18,  2.07it/s]

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overall:  13%|█▎        | 504/4000 [04:04<27:13,  2.14it/s]

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overall:  13%|█▎        | 507/4000 [04:05<25:32,  2.28it/s]

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overall:  13%|█▎        | 508/4000 [04:06<26:48,  2.17it/s]

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overall:  13%|█▎        | 509/4000 [04:06<27:48,  2.09it/s]

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overall:  13%|█▎        | 510/4000 [04:07<28:05,  2.07it/s]

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overall:  13%|█▎        | 511/4000 [04:07<28:27,  2.04it/s]

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overall:  13%|█▎        | 512/4000 [04:08<28:55,  2.01it/s]

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overall:  13%|█▎        | 513/4000 [04:08<28:16,  2.06it/s]

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overall:  13%|█▎        | 514/4000 [04:09<29:12,  1.99it/s]

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overall:  13%|█▎        | 515/4000 [04:09<23:32,  2.47it/s]

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overall:  13%|█▎        | 516/4000 [04:10<25:23,  2.29it/s]

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overall:  13%|█▎        | 517/4000 [04:10<27:01,  2.15it/s]

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overall:  13%|█▎        | 518/4000 [04:11<27:21,  2.12it/s]

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overall:  13%|█▎        | 519/4000 [04:11<28:10,  2.06it/s]

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overall:  13%|█▎        | 520/4000 [04:11<26:29,  2.19it/s]

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overall:  13%|█▎        | 521/4000 [04:12<22:41,  2.56it/s]

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overall:  13%|█▎        | 522/4000 [04:12<24:39,  2.35it/s]

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overall:  13%|█▎        | 523/4000 [04:13<26:16,  2.21it/s]

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overall:  13%|█▎        | 524/4000 [04:13<26:18,  2.20it/s]

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overall:  13%|█▎        | 525/4000 [04:14<27:27,  2.11it/s]

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overall:  13%|█▎        | 527/4000 [04:15<27:53,  2.07it/s]

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overall:  13%|█▎        | 531/4000 [04:17<26:34,  2.18it/s]

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overall:  13%|█▎        | 532/4000 [04:17<27:40,  2.09it/s]

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overall:  13%|█▎        | 533/4000 [04:17<27:11,  2.13it/s]

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overall:  13%|█▎        | 534/4000 [04:18<27:34,  2.10it/s]

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overall:  13%|█▎        | 536/4000 [04:19<28:42,  2.01it/s]

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overall:  13%|█▎        | 537/4000 [04:20<28:51,  2.00it/s]

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overall:  13%|█▎        | 538/4000 [04:20<27:08,  2.13it/s]

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overall:  13%|█▎        | 539/4000 [04:20<20:51,  2.77it/s]

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overall:  14%|█▎        | 541/4000 [04:20<14:51,  3.88it/s]

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overall:  14%|█▎        | 542/4000 [04:21<18:09,  3.17it/s]

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overall:  14%|█▎        | 543/4000 [04:21<19:20,  2.98it/s]

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overall:  14%|█▎        | 544/4000 [04:22<21:59,  2.62it/s]

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overall:  14%|█▎        | 546/4000 [04:23<27:15,  2.11it/s]

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overall:  14%|█▎        | 547/4000 [04:23<27:40,  2.08it/s]

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overall:  14%|█▎        | 548/4000 [04:24<23:45,  2.42it/s]

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overall:  14%|█▎        | 549/4000 [04:24<26:07,  2.20it/s]

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overall:  14%|█▍        | 550/4000 [04:25<27:12,  2.11it/s]

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overall:  14%|█▍        | 551/4000 [04:25<27:45,  2.07it/s]

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overall:  14%|█▍        | 552/4000 [04:26<27:59,  2.05it/s]

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overall:  14%|█▍        | 554/4000 [04:27<26:42,  2.15it/s]

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overall:  14%|█▍        | 555/4000 [04:27<27:03,  2.12it/s]

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overall:  14%|█▍        | 557/4000 [04:28<28:17,  2.03it/s]

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overall:  14%|█▍        | 559/4000 [04:29<25:57,  2.21it/s]

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overall:  14%|█▍        | 565/4000 [04:32<29:37,  1.93it/s]

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overall:  14%|█▍        | 566/4000 [04:33<29:10,  1.96it/s]

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overall:  15%|█▌        | 602/4000 [04:49<26:57,  2.10it/s]

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overall:  15%|█▌        | 603/4000 [04:49<27:26,  2.06it/s]

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overall:  15%|█▌        | 610/4000 [04:53<28:44,  1.97it/s]

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overall:  15%|█▌        | 617/4000 [04:56<28:54,  1.95it/s]

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overall:  15%|█▌        | 618/4000 [04:57<27:55,  2.02it/s]

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overall:  16%|█▌        | 626/4000 [05:00<27:56,  2.01it/s]

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train:  18%|█▊        | 627/3515 [04:59<23:57,  2.01it/s]
overall:  16%|█▌        | 628/4000 [05:01<28:04,  2.00it/s]

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overall:  16%|█▌        | 629/4000 [05:02<28:09,  2.00it/s]

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overall:  16%|█▌        | 630/4000 [05:02<26:32,  2.12it/s]

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overall:  16%|█▌        | 631/4000 [05:03<26:11,  2.14it/s]

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overall:  16%|█▌        | 632/4000 [05:03<25:03,  2.24it/s]

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overall:  16%|█▌        | 633/4000 [05:04<25:46,  2.18it/s]

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overall:  16%|█▌        | 634/4000 [05:04<29:51,  1.88it/s]

train:  18%|█▊        | 634/3515 [05:02<25:33,  1.88it/s]
overall:  16%|█▌        | 635/4000 [05:05<29:28,  1.90it/s]

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overall:  16%|█▌        | 636/4000 [05:05<24:39,  2.27it/s]

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overall:  16%|█▌        | 637/4000 [05:06<24:49,  2.26it/s]

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overall:  16%|█▌        | 638/4000 [05:06<20:00,  2.80it/s]

train:  18%|█▊        | 638/3515 [05:03<17:07,  2.80it/s]
overall:  16%|█▌        | 639/4000 [05:06<22:08,  2.53it/s]

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overall:  16%|█▌        | 640/4000 [05:07<24:04,  2.33it/s]

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overall:  16%|█▌        | 641/4000 [05:07<26:23,  2.12it/s]

train:  18%|█▊        | 641/3515 [05:05<22:34,  2.12it/s]
overall:  16%|█▌        | 642/4000 [05:08<27:14,  2.05it/s]

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overall:  16%|█▌        | 643/4000 [05:08<27:28,  2.04it/s]

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overall:  16%|█▌        | 644/4000 [05:09<27:39,  2.02it/s]

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overall:  16%|█▌        | 649/4000 [05:11<26:54,  2.08it/s]

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overall:  16%|█▋        | 650/4000 [05:12<27:30,  2.03it/s]

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overall:  16%|█▋        | 651/4000 [05:12<25:32,  2.18it/s]

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overall:  16%|█▋        | 652/4000 [05:13<26:04,  2.14it/s]

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overall:  16%|█▋        | 653/4000 [05:13<26:31,  2.10it/s]

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overall:  16%|█▋        | 654/4000 [05:14<27:00,  2.07it/s]

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train:  19%|█▊        | 656/3515 [05:12<17:16,  2.76it/s]
overall:  16%|█▋        | 657/4000 [05:15<22:41,  2.45it/s]

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overall:  16%|█▋        | 658/4000 [05:15<25:45,  2.16it/s]

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overall:  16%|█▋        | 659/4000 [05:15<21:08,  2.63it/s]

train:  19%|█▊        | 659/3515 [05:13<18:04,  2.63it/s]
overall:  16%|█▋        | 660/4000 [05:16<21:37,  2.57it/s]

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overall:  17%|█▋        | 661/4000 [05:16<17:09,  3.24it/s]

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overall:  17%|█▋        | 662/4000 [05:16<20:30,  2.71it/s]

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overall:  17%|█▋        | 663/4000 [05:17<22:57,  2.42it/s]

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overall:  17%|█▋        | 664/4000 [05:17<24:42,  2.25it/s]

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overall:  17%|█▋        | 665/4000 [05:18<27:45,  2.00it/s]

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overall:  17%|█▋        | 666/4000 [05:18<24:04,  2.31it/s]

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overall:  17%|█▋        | 667/4000 [05:19<25:33,  2.17it/s]

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overall:  17%|█▋        | 668/4000 [05:19<25:28,  2.18it/s]

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overall:  17%|█▋        | 669/4000 [05:20<26:26,  2.10it/s]

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overall:  17%|█▋        | 670/4000 [05:20<25:57,  2.14it/s]

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overall:  17%|█▋        | 672/4000 [05:21<25:15,  2.20it/s]

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overall:  17%|█▋        | 674/4000 [05:22<23:01,  2.41it/s]

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overall:  17%|█▋        | 675/4000 [05:22<24:17,  2.28it/s]

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overall:  17%|█▋        | 676/4000 [05:23<21:17,  2.60it/s]

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overall:  17%|█▋        | 677/4000 [05:23<23:26,  2.36it/s]

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overall:  17%|█▋        | 678/4000 [05:24<23:58,  2.31it/s]

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overall:  17%|█▋        | 679/4000 [05:24<24:49,  2.23it/s]

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overall:  17%|█▋        | 680/4000 [05:24<19:45,  2.80it/s]

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overall:  17%|█▋        | 681/4000 [05:25<22:01,  2.51it/s]

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overall:  17%|█▋        | 682/4000 [05:25<27:10,  2.04it/s]

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overall:  17%|█▋        | 683/4000 [05:26<27:25,  2.02it/s]

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overall:  17%|█▋        | 684/4000 [05:26<27:12,  2.03it/s]

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overall:  17%|█▋        | 685/4000 [05:27<27:29,  2.01it/s]

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overall:  17%|█▋        | 686/4000 [05:27<26:44,  2.07it/s]

train:  20%|█▉        | 686/3515 [05:25<22:49,  2.07it/s]
overall:  17%|█▋        | 687/4000 [05:28<26:44,  2.06it/s]

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overall:  17%|█▋        | 688/4000 [05:28<23:15,  2.37it/s]

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overall:  17%|█▋        | 689/4000 [05:29<26:14,  2.10it/s]

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overall:  17%|█▋        | 690/4000 [05:29<26:37,  2.07it/s]

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overall:  17%|█▋        | 691/4000 [05:30<27:15,  2.02it/s]

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overall:  17%|█▋        | 692/4000 [05:30<27:04,  2.04it/s]

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overall:  17%|█▋        | 693/4000 [05:31<27:53,  1.98it/s]

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overall:  17%|█▋        | 697/4000 [05:33<24:54,  2.21it/s]

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overall:  17%|█▋        | 698/4000 [05:33<25:20,  2.17it/s]

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overall:  18%|█▊        | 705/4000 [05:36<27:00,  2.03it/s]

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overall:  18%|█▊        | 707/4000 [05:37<27:53,  1.97it/s]

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overall:  18%|█▊        | 708/4000 [05:38<27:51,  1.97it/s]

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overall:  18%|█▊        | 711/4000 [05:39<27:37,  1.98it/s]

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overall:  18%|█▊        | 712/4000 [05:40<23:34,  2.32it/s]

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overall:  18%|█▊        | 714/4000 [05:41<25:21,  2.16it/s]

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train:  28%|██▊       | 999/3515 [07:55<20:54,  2.01it/s]train loss: 9.311946868896484
train per: 1.0067857499251571
train loss: 8.571340560913086
train per: 0.9475064921299486
train loss: 7.019740104675293
train per: 0.963247035417921
train loss: 5.195410251617432
train per: 0.9244814374421985
train loss: 5.412456512451172
train per: 0.9248732888067832
train loss: 5.1102142333984375
train per: 0.9500370828182942
train loss: 4.841042995452881
train per: 0.9397427522357128
train loss: 4.959844589233398
train per: 0.9599486779541624
train loss: 4.7912726402282715
train per: 0.9441580149257245
train loss: 4.827958106994629
train per: 0.9551020408163265
train loss: 4.878664970397949
train per: 0.9512010360921731
train loss: 5.38925313949585
train per: 0.961157520884398
train loss: 4.781242847442627
train per: 0.9385442495307394
train loss: 4.909415245056152
train per: 0.9481352267701832
train loss: 4.7845778465271
train per: 0.9420181988427648
train loss: 4.917497158050537
train per: 0.9407322483363657
train loss: 4.809821128845215
train per: 0.9260068474637355
train loss: 5.048579216003418
train per: 0.9616320419240127
train loss: 4.860544204711914
train per: 0.9620896264185327
train loss: 4.799544811248779
train per: 0.9588081060550369
train loss: 4.7897210121154785
train per: 0.9623646043693777
train loss: 4.985589027404785
train per: 0.9567665673864483
train loss: 5.293740749359131
train per: 0.9452644685984072
train loss: 5.106949806213379
train per: 0.9307466496490109
train loss: 5.151637077331543
train per: 0.960145332588038
train loss: 4.892177104949951
train per: 0.9577038465659488
train loss: 5.357697486877441
train per: 0.9532166905540983
train loss: 5.223188400268555
train per: 0.9471340694412272
train loss: 5.682596683502197
train per: 0.9505979169345506
train loss: 4.916377544403076
train per: 0.9579427015136437
train loss: 5.123570442199707
train per: 0.9352291084386779
train loss: 5.051094055175781
train per: 0.9304519147888191
train loss: 4.905292987823486
train per: 0.9458793350602319
train loss: 5.2466959953308105
train per: 0.9764202096599283
train loss: 4.761737823486328
train per: 0.9730986708442464
train loss: 4.801077365875244
train per: 0.9635803805537514
train loss: 5.019312858581543
train per: 0.9577337056394836
train loss: 4.868786811828613
train per: 0.9408438451500652
train loss: 4.873068809509277
train per: 0.9494783758632512
train loss: 4.915243625640869
train per: 0.927857373197586
train loss: 4.8190460205078125
train per: 0.937799043062201
train loss: 5.130697727203369
train per: 0.9461515683014055
train loss: 4.914695739746094
train per: 0.9266226103375029
train loss: 4.812191963195801
train per: 0.9513639579675585
train loss: 5.235843658447266
train per: 0.9498985644950053
train loss: 4.972723960876465
train per: 0.9347652547023899
train loss: 4.736143112182617
train per: 0.9625714022480192
train loss: 5.082110404968262
train per: 0.9501441703428051
train loss: 4.848793983459473
train per: 0.9586028791326805
train loss: 4.827502250671387
train per: 0.9424282043190118
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 277/2703 [00:00<00:00, 2650.76it/s]


word -> phonemes:  20%|██        | 543/2703 [00:00<00:00, 2589.80it/s]


word -> phonemes:  32%|███▏      | 857/2703 [00:00<00:00, 2816.07it/s]


word -> phonemes:  43%|████▎     | 1168/2703 [00:00<00:00, 2835.61it/s]


word -> phonemes:  55%|█████▌    | 1499/2703 [00:00<00:00, 2999.33it/s]


word -> phonemes:  68%|██████▊   | 1849/2703 [00:00<00:00, 3164.36it/s]


word -> phonemes:  81%|████████  | 2191/2703 [00:00<00:00, 3233.95it/s]


word -> phonemes:  93%|█████████▎| 2515/2703 [00:00<00:00, 2936.42it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2901.85it/s]



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overall:  48%|████▊     | 1935/4000 [17:34<15:26,  2.23it/s]

train:  55%|█████▌    | 1935/3515 [17:32<11:48,  2.23it/s]
overall:  48%|████▊     | 1936/4000 [17:34<16:09,  2.13it/s]

train:  55%|█████▌    | 1936/3515 [17:32<12:21,  2.13it/s]
overall:  48%|████▊     | 1937/4000 [17:35<16:30,  2.08it/s]

train:  55%|█████▌    | 1937/3515 [17:33<12:37,  2.08it/s]
overall:  48%|████▊     | 1938/4000 [17:35<14:20,  2.40it/s]

train:  55%|█████▌    | 1938/3515 [17:33<10:57,  2.40it/s]
overall:  48%|████▊     | 1939/4000 [17:36<14:27,  2.38it/s]

train:  55%|█████▌    | 1939/3515 [17:33<11:02,  2.38it/s]
overall:  48%|████▊     | 1940/4000 [17:36<12:11,  2.82it/s]

train:  55%|█████▌    | 1940/3515 [17:33<09:19,  2.82it/s]
overall:  49%|████▊     | 1941/4000 [17:36<13:30,  2.54it/s]

train:  55%|█████▌    | 1941/3515 [17:34<10:19,  2.54it/s]
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train:  55%|█████▌    | 1942/3515 [17:34<08:43,  3.00it/s]
overall:  49%|████▊     | 1943/4000 [17:37<13:07,  2.61it/s]

train:  55%|█████▌    | 1943/3515 [17:35<10:01,  2.61it/s]
overall:  49%|████▊     | 1944/4000 [17:38<14:31,  2.36it/s]

train:  55%|█████▌    | 1944/3515 [17:35<11:06,  2.36it/s]
overall:  49%|████▊     | 1945/4000 [17:38<15:32,  2.20it/s]

train:  55%|█████▌    | 1945/3515 [17:36<11:52,  2.20it/s]
overall:  49%|████▊     | 1946/4000 [17:39<16:01,  2.14it/s]

train:  55%|█████▌    | 1946/3515 [17:36<12:14,  2.14it/s]
overall:  49%|████▊     | 1947/4000 [17:39<16:20,  2.09it/s]

train:  55%|█████▌    | 1947/3515 [17:37<12:28,  2.09it/s]
overall:  49%|████▊     | 1948/4000 [17:40<16:11,  2.11it/s]

train:  55%|█████▌    | 1948/3515 [17:37<12:21,  2.11it/s]
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train:  55%|█████▌    | 1950/3515 [17:38<12:31,  2.08it/s]
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train:  56%|█████▌    | 1951/3515 [17:39<12:51,  2.03it/s]
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train:  56%|█████▌    | 1952/3515 [17:39<13:06,  1.99it/s]
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train:  56%|█████▌    | 1953/3515 [17:40<12:45,  2.04it/s]
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train:  56%|█████▌    | 1954/3515 [17:41<15:55,  1.63it/s]
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train:  56%|█████▌    | 1955/3515 [17:41<15:15,  1.70it/s]
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train:  56%|█████▌    | 1957/3515 [17:42<13:28,  1.93it/s]
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train:  56%|█████▌    | 1958/3515 [17:42<12:54,  2.01it/s]
overall:  49%|████▉     | 1959/4000 [17:45<15:39,  2.17it/s]

train:  56%|█████▌    | 1959/3515 [17:43<11:56,  2.17it/s]
overall:  49%|████▉     | 1960/4000 [17:45<13:23,  2.54it/s]

train:  56%|█████▌    | 1960/3515 [17:43<10:12,  2.54it/s]
overall:  49%|████▉     | 1961/4000 [17:46<14:39,  2.32it/s]

train:  56%|█████▌    | 1961/3515 [17:44<11:10,  2.32it/s]
overall:  49%|████▉     | 1962/4000 [17:46<15:38,  2.17it/s]

train:  56%|█████▌    | 1962/3515 [17:44<11:54,  2.17it/s]
overall:  49%|████▉     | 1963/4000 [17:47<16:12,  2.09it/s]

train:  56%|█████▌    | 1963/3515 [17:45<12:21,  2.09it/s]
overall:  49%|████▉     | 1964/4000 [17:47<16:22,  2.07it/s]

train:  56%|█████▌    | 1964/3515 [17:45<12:28,  2.07it/s]
overall:  49%|████▉     | 1965/4000 [17:48<15:52,  2.14it/s]

train:  56%|█████▌    | 1965/3515 [17:46<12:05,  2.14it/s]
overall:  49%|████▉     | 1966/4000 [17:48<16:04,  2.11it/s]

train:  56%|█████▌    | 1966/3515 [17:46<12:14,  2.11it/s]
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train:  56%|█████▌    | 1967/3515 [17:47<12:34,  2.05it/s]
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train:  56%|█████▌    | 1968/3515 [17:47<12:43,  2.03it/s]
overall:  49%|████▉     | 1969/4000 [17:50<17:03,  1.99it/s]

train:  56%|█████▌    | 1969/3515 [17:48<12:58,  1.99it/s]
overall:  49%|████▉     | 1970/4000 [17:50<17:07,  1.98it/s]

train:  56%|█████▌    | 1970/3515 [17:48<13:02,  1.98it/s]
overall:  49%|████▉     | 1971/4000 [17:51<16:56,  2.00it/s]

train:  56%|█████▌    | 1971/3515 [17:49<12:53,  2.00it/s]
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train:  56%|█████▌    | 1972/3515 [17:49<12:15,  2.10it/s]
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train:  56%|█████▌    | 1973/3515 [17:49<11:47,  2.18it/s]
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train:  56%|█████▌    | 1974/3515 [17:50<12:15,  2.09it/s]
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train:  56%|█████▌    | 1975/3515 [17:50<12:36,  2.04it/s]
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train:  56%|█████▌    | 1976/3515 [17:51<12:45,  2.01it/s]
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train:  56%|█████▌    | 1977/3515 [17:51<10:09,  2.52it/s]
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train:  56%|█████▋    | 1978/3515 [17:52<13:43,  1.87it/s]
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train:  56%|█████▋    | 1979/3515 [17:53<13:37,  1.88it/s]
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train:  56%|█████▋    | 1980/3515 [17:53<13:24,  1.91it/s]
overall:  50%|████▉     | 1981/4000 [17:55<13:30,  2.49it/s]

train:  56%|█████▋    | 1981/3515 [17:53<10:16,  2.49it/s]
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train:  56%|█████▋    | 1982/3515 [17:54<11:09,  2.29it/s]
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train:  56%|█████▋    | 1983/3515 [17:54<11:09,  2.29it/s]
overall:  50%|████▉     | 1984/4000 [17:57<15:12,  2.21it/s]

train:  56%|█████▋    | 1984/3515 [17:55<11:32,  2.21it/s]
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train:  57%|█████▋    | 1986/3515 [17:55<10:20,  2.46it/s]
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train:  57%|█████▋    | 1987/3515 [17:56<10:56,  2.33it/s]
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train:  57%|█████▋    | 1988/3515 [17:56<11:33,  2.20it/s]
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train:  57%|█████▋    | 1989/3515 [17:57<12:01,  2.12it/s]
overall:  50%|████▉     | 1990/4000 [18:00<16:22,  2.05it/s]

train:  57%|█████▋    | 1990/3515 [17:57<12:25,  2.05it/s]
overall:  50%|████▉     | 1991/4000 [18:00<16:38,  2.01it/s]

train:  57%|█████▋    | 1991/3515 [17:58<12:37,  2.01it/s]
overall:  50%|████▉     | 1992/4000 [18:01<16:34,  2.02it/s]

train:  57%|█████▋    | 1992/3515 [17:58<12:34,  2.02it/s]
overall:  50%|████▉     | 1993/4000 [18:01<16:55,  1.98it/s]

train:  57%|█████▋    | 1993/3515 [17:59<12:50,  1.98it/s]
overall:  50%|████▉     | 1994/4000 [18:02<17:07,  1.95it/s]

train:  57%|█████▋    | 1994/3515 [17:59<12:58,  1.95it/s]
overall:  50%|████▉     | 1995/4000 [18:02<17:05,  1.96it/s]

train:  57%|█████▋    | 1995/3515 [18:00<12:57,  1.96it/s]
overall:  50%|████▉     | 1996/4000 [18:03<16:31,  2.02it/s]

train:  57%|█████▋    | 1996/3515 [18:00<12:31,  2.02it/s]
overall:  50%|████▉     | 1997/4000 [18:03<16:26,  2.03it/s]

train:  57%|█████▋    | 1997/3515 [18:01<12:27,  2.03it/s]
overall:  50%|████▉     | 1998/4000 [18:04<16:32,  2.02it/s]

train:  57%|█████▋    | 1998/3515 [18:01<12:32,  2.02it/s]
overall:  50%|████▉     | 1999/4000 [18:04<16:47,  1.99it/s]

train:  57%|█████▋    | 1999/3515 [18:02<12:43,  1.99it/s]dev loss: 6.11232328414917
dev per: 0.9384183142559833
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 5.084189414978027
train per: 0.9390273704789834
train loss: 4.84013032913208
train per: 0.9515747099218566
train loss: 4.74704647064209
train per: 0.9509313221346132
train loss: 4.740023612976074
train per: 0.9661125793464569
train loss: 4.865906715393066
train per: 0.9481675754020291
train loss: 4.997124671936035
train per: 0.9530721966205837
train loss: 5.120156764984131
train per: 0.9468093102497933
train loss: 4.773419380187988
train per: 0.9496086228024108
train loss: 5.8556976318359375
train per: 0.9349926362297496
train loss: 4.882177352905273
train per: 0.9525306802449727
train loss: 4.909663677215576
train per: 0.9482822142396611
train loss: 4.8329854011535645
train per: 0.953553274195156
train loss: 5.222428321838379
train per: 0.9356232056488115
train loss: 5.087946891784668
train per: 0.9687325374650749
train loss: 4.7891645431518555
train per: 0.9411121903836814
train loss: 4.8713178634643555
train per: 0.9530313124583611
train loss: 5.057425498962402
train per: 0.9320743739545708
train loss: 4.708092212677002
train per: 0.9260180729961273
train loss: 4.744476318359375
train per: 0.9255202355406956
train loss: 4.765945911407471
train per: 0.9447669392090507
train loss: 5.090453624725342
train per: 0.9664239586281421
train loss: 5.0808587074279785
train per: 0.9342105263157895
train loss: 4.942407131195068
train per: 0.9348885208918328
train loss: 4.994884490966797
train per: 0.9382730427895926
train loss: 4.80393123626709
train per: 0.9417557897976456
train loss: 4.988871097564697
train per: 0.9612833032586774
train loss: 4.726802349090576
train per: 0.9435409800637528
train loss: 4.757814884185791
train per: 0.9463889602353656
train loss: 5.333183765411377
train per: 0.9574249581878466
train loss: 4.783963203430176
train per: 0.9470950230479444
train loss: 5.093756675720215
train per: 0.9301987882429523
train loss: 4.947411060333252
train per: 0.9592736154622206
train loss: 4.932803630828857
train per: 0.9358900422914264
train loss: 4.870741367340088
train per: 0.9449029932166406
train loss: 5.220145225524902
train per: 0.9223415497284412
train loss: 4.892031669616699
train per: 0.9456634824553107
train loss: 4.7790632247924805
train per: 0.932599139764617
train loss: 5.028557777404785
train per: 0.9607395630321058
train loss: 4.930924892425537
train per: 0.9401556746267998
train loss: 5.080864906311035
train per: 0.9337293050229165
train loss: 4.805802822113037
train per: 0.9638659428841161
train loss: 5.070169925689697
train per: 0.9502039064176862
train loss: 4.700699806213379
train per: 0.9653078147060801
train loss: 4.856704235076904
train per: 0.936017042532873
train loss: 4.794561862945557
train per: 0.9551954011883483
train loss: 4.933670520782471
train per: 0.9499721681046479
train loss: 4.975495338439941
train per: 0.9402173913043478
train loss: 4.900116920471191
train per: 0.9375316318415154
train loss: 4.988936901092529
train per: 0.9465995077035281
train loss: 5.074731349945068
train per: 0.9457227870071907
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 350/2703 [00:00<00:00, 3492.14it/s]


word -> phonemes:  26%|██▌       | 700/2703 [00:00<00:00, 3023.85it/s]


word -> phonemes:  39%|███▉      | 1061/2703 [00:00<00:00, 3268.57it/s]


word -> phonemes:  52%|█████▏    | 1393/2703 [00:00<00:00, 3232.27it/s]


word -> phonemes:  64%|██████▍   | 1741/2703 [00:00<00:00, 3315.64it/s]


word -> phonemes:  77%|███████▋  | 2075/2703 [00:00<00:00, 3159.57it/s]


word -> phonemes:  90%|████████▉ | 2425/2703 [00:00<00:00, 3244.38it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3174.40it/s]



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


dev:   0%|          | 1/2703 [00:01<47:51,  1.06s/it]


dev:   0%|          | 2/2703 [00:01<23:32,  1.91it/s]


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dev:   0%|          | 12/2703 [00:02<04:45,  9.42it/s]


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dev:   1%|▏         | 34/2703 [00:04<03:44, 11.91it/s]


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dev:   2%|▏         | 48/2703 [00:05<03:25, 12.95it/s]


dev:   2%|▏         | 50/2703 [00:05<03:21, 13.15it/s]


dev:   2%|▏         | 52/2703 [00:05<03:23, 13.05it/s]


dev:   2%|▏         | 54/2703 [00:05<03:18, 13.33it/s]


dev:   2%|▏         | 56/2703 [00:05<03:07, 14.09it/s]


dev:   2%|▏         | 58/2703 [00:05<03:09, 13.93it/s]


dev:   2%|▏         | 60/2703 [00:06<03:18, 13.32it/s]


dev:   2%|▏         | 62/2703 [00:06<03:12, 13.72it/s]


dev:   2%|▏         | 64/2703 [00:06<03:09, 13.92it/s]


dev:   2%|▏         | 66/2703 [00:06<03:10, 13.87it/s]


dev:   3%|▎         | 68/2703 [00:06<03:07, 14.09it/s]


dev:   3%|▎         | 70/2703 [00:06<03:13, 13.62it/s]


dev:   3%|▎         | 72/2703 [00:07<03:17, 13.32it/s]


dev:   3%|▎         | 74/2703 [00:07<03:12, 13.65it/s]


dev:   3%|▎         | 76/2703 [00:07<03:09, 13.87it/s]


dev:   3%|▎         | 78/2703 [00:07<03:08, 13.90it/s]


dev:   3%|▎         | 80/2703 [00:07<03:09, 13.87it/s]


dev:   3%|▎         | 82/2703 [00:07<03:16, 13.35it/s]


dev:   3%|▎         | 84/2703 [00:07<03:12, 13.61it/s]


dev:   3%|▎         | 86/2703 [00:08<03:16, 13.34it/s]


dev:   3%|▎         | 88/2703 [00:08<03:10, 13.69it/s]


dev:   3%|▎         | 90/2703 [00:08<03:11, 13.64it/s]


dev:   3%|▎         | 92/2703 [00:08<03:11, 13.66it/s]


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overall:  75%|███████▍  | 2983/4000 [27:59<08:47,  1.93it/s]

train:  85%|████████▍ | 2983/3515 [27:57<04:35,  1.93it/s]
overall:  75%|███████▍  | 2984/4000 [28:00<08:51,  1.91it/s]

train:  85%|████████▍ | 2984/3515 [27:57<04:37,  1.91it/s]
overall:  75%|███████▍  | 2985/4000 [28:00<08:44,  1.94it/s]

train:  85%|████████▍ | 2985/3515 [27:58<04:33,  1.94it/s]
overall:  75%|███████▍  | 2986/4000 [28:01<09:44,  1.73it/s]

train:  85%|████████▍ | 2986/3515 [27:58<05:05,  1.73it/s]
overall:  75%|███████▍  | 2987/4000 [28:01<09:22,  1.80it/s]

train:  85%|████████▍ | 2987/3515 [27:59<04:53,  1.80it/s]
overall:  75%|███████▍  | 2988/4000 [28:02<09:00,  1.87it/s]

train:  85%|████████▌ | 2988/3515 [27:59<04:41,  1.87it/s]
overall:  75%|███████▍  | 2989/4000 [28:02<08:53,  1.89it/s]

train:  85%|████████▌ | 2989/3515 [28:00<04:37,  1.89it/s]
overall:  75%|███████▍  | 2990/4000 [28:03<08:50,  1.90it/s]

train:  85%|████████▌ | 2990/3515 [28:00<04:35,  1.90it/s]
overall:  75%|███████▍  | 2991/4000 [28:03<07:23,  2.28it/s]

train:  85%|████████▌ | 2991/3515 [28:01<03:50,  2.28it/s]
overall:  75%|███████▍  | 2992/4000 [28:04<07:38,  2.20it/s]

train:  85%|████████▌ | 2992/3515 [28:01<03:58,  2.20it/s]
overall:  75%|███████▍  | 2993/4000 [28:04<07:10,  2.34it/s]

train:  85%|████████▌ | 2993/3515 [28:02<03:43,  2.34it/s]
overall:  75%|███████▍  | 2994/4000 [28:04<07:20,  2.28it/s]

train:  85%|████████▌ | 2994/3515 [28:02<03:48,  2.28it/s]
overall:  75%|███████▍  | 2995/4000 [28:05<07:43,  2.17it/s]

train:  85%|████████▌ | 2995/3515 [28:03<03:59,  2.17it/s]
overall:  75%|███████▍  | 2996/4000 [28:05<08:16,  2.02it/s]

train:  85%|████████▌ | 2996/3515 [28:03<04:16,  2.02it/s]
overall:  75%|███████▍  | 2997/4000 [28:06<06:41,  2.50it/s]

train:  85%|████████▌ | 2997/3515 [28:03<03:27,  2.50it/s]
overall:  75%|███████▍  | 2998/4000 [28:06<05:54,  2.83it/s]

train:  85%|████████▌ | 2998/3515 [28:04<03:02,  2.83it/s]
overall:  75%|███████▍  | 2999/4000 [28:06<06:31,  2.56it/s]

train:  85%|████████▌ | 2999/3515 [28:04<03:21,  2.56it/s]dev loss: 6.280789852142334
dev per: 0.9025494276795005
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 4.784814357757568
train per: 0.9500730130032682
train loss: 5.354483604431152
train per: 0.9289831053503846
train loss: 4.843808174133301
train per: 0.9583344204127423
train loss: 5.89691162109375
train per: 0.9545904785488764
train loss: 4.851622104644775
train per: 0.9611147442024247
train loss: 4.986630916595459
train per: 0.9456610934454815
train loss: 5.166977882385254
train per: 0.9548272078990675
train loss: 5.082273960113525
train per: 0.9447455585666967
train loss: 5.188808917999268
train per: 0.9614512471655329
train loss: 4.722848415374756
train per: 0.9473619541444475
train loss: 4.971843719482422
train per: 0.960201015177151
train loss: 4.867991924285889
train per: 0.9468082310583165
train loss: 4.781681537628174
train per: 0.9443996591196997
train loss: 4.927953720092773
train per: 0.9645354139223832
train loss: 5.068716526031494
train per: 0.9402822723193648
train loss: 4.859881401062012
train per: 0.955601020299713
train loss: 4.819100379943848
train per: 0.9567510282354722
train loss: 4.727864742279053
train per: 0.9495294312874855
train loss: 4.936582088470459
train per: 0.9440821392305089
train loss: 5.560386657714844
train per: 0.9352277925782406
train loss: 4.944586753845215
train per: 0.9310260005411655
train loss: 4.888873100280762
train per: 0.9376331641107926
train loss: 4.7826948165893555
train per: 0.9274204407738229
train loss: 4.922608375549316
train per: 0.9486950217496375
train loss: 5.0727643966674805
train per: 0.9598124755827582
train loss: 4.786437034606934
train per: 0.9542969936228363
train loss: 4.780593395233154
train per: 0.934685552407932
train loss: 5.108041286468506
train per: 0.9492535752568695
train loss: 5.104602336883545
train per: 0.9396775871034841
train loss: 4.776607990264893
train per: 0.943926437255306
train loss: 4.766574859619141
train per: 0.9412310687524054
train loss: 4.827480792999268
train per: 0.949283806749211
train loss: 4.834584712982178
train per: 0.9585560552899899
train loss: 4.928608417510986
train per: 0.936140599841716
train loss: 5.091681957244873
train per: 0.9559645087085114
train loss: 4.857522010803223
train per: 0.9394512288590261
train loss: 5.2471208572387695
train per: 0.9581643065130285
train loss: 4.821484565734863
train per: 0.9627531918978592
train loss: 4.943707466125488
train per: 0.9553489349407717
train loss: 4.863312721252441
train per: 0.9716042821349935
train loss: 4.879303932189941
train per: 0.9499834695130591
train loss: 4.800708770751953
train per: 0.9476307945318121
train loss: 4.853218078613281
train per: 0.9514422814766345
train loss: 5.395267009735107
train per: 0.967379706315736
train loss: 4.9806904792785645
train per: 0.9468227769754487
train loss: 4.974993705749512
train per: 0.9471802618328298
train loss: 4.866025924682617
train per: 0.9463846287688599
train loss: 4.689731121063232
train per: 0.9590084408654312
train loss: 5.119290351867676
train per: 0.9477429950729109
train loss: 5.0571112632751465
train per: 0.9432228337386407
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▊         | 234/2703 [00:00<00:01, 2248.16it/s]


word -> phonemes:  18%|█▊        | 481/2703 [00:00<00:00, 2346.66it/s]


word -> phonemes:  30%|███       | 812/2703 [00:00<00:00, 2776.33it/s]


word -> phonemes:  42%|████▏     | 1127/2703 [00:00<00:00, 2922.18it/s]


word -> phonemes:  53%|█████▎    | 1420/2703 [00:00<00:00, 2806.14it/s]


word -> phonemes:  64%|██████▎   | 1717/2703 [00:00<00:00, 2859.28it/s]


word -> phonemes:  74%|███████▍  | 2004/2703 [00:00<00:00, 2791.97it/s]


word -> phonemes:  84%|████████▍ | 2284/2703 [00:00<00:00, 2681.57it/s]


word -> phonemes:  94%|█████████▍| 2554/2703 [00:00<00:00, 2661.99it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2708.60it/s]



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


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train: 100%|█████████▉| 3508/3515 [34:03<00:03,  1.97it/s]
overall:  88%|████████▊ | 3509/4000 [34:06<04:02,  2.02it/s]

train: 100%|█████████▉| 3509/3515 [34:03<00:02,  2.02it/s]
overall:  88%|████████▊ | 3510/4000 [34:06<04:00,  2.04it/s]

train: 100%|█████████▉| 3510/3515 [34:04<00:02,  2.04it/s]
overall:  88%|████████▊ | 3511/4000 [34:06<03:41,  2.20it/s]

train: 100%|█████████▉| 3511/3515 [34:04<00:01,  2.20it/s]
overall:  88%|████████▊ | 3512/4000 [34:07<03:49,  2.13it/s]

train: 100%|█████████▉| 3512/3515 [34:05<00:01,  2.13it/s]
overall:  88%|████████▊ | 3513/4000 [34:07<03:56,  2.06it/s]

train: 100%|█████████▉| 3513/3515 [34:05<00:00,  2.06it/s]
overall:  88%|████████▊ | 3514/4000 [34:08<03:58,  2.04it/s]

train: 100%|█████████▉| 3514/3515 [34:06<00:00,  2.04it/s]
overall:  88%|████████▊ | 3515/4000 [34:08<04:01,  2.01it/s]

train: 100%|██████████| 3515/3515 [34:06<00:00,  2.01it/s]403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!

train: 100%|██████████| 3515/3515 [34:06<00:00,  1.72it/s]
dev loss: 6.134465217590332
dev per: 0.9562591050988554
train loss: 4.891066551208496
train per: 0.9386001016875287
train loss: 4.764011859893799
train per: 0.9463955169003727
train loss: 4.836214065551758
train per: 0.9460180732442002
train loss: 4.919436931610107
train per: 0.9467870736622136
train loss: 4.969342231750488
train per: 0.9432155581947743
train loss: 4.7651686668396
train per: 0.9302117362371446
train loss: 4.973719120025635
train per: 0.9335046824104235
train loss: 4.784750938415527
train per: 0.9551808581194837
train loss: 4.827531337738037
train per: 0.9506421289553819
train loss: 5.116292476654053
train per: 0.9301418206527695
train loss: 5.077958106994629
train per: 0.9568837897853442
train loss: 5.009066581726074
train per: 0.9343104361645771
train loss: 4.991125583648682
train per: 0.9348071495766698
train loss: 4.81545877456665
train per: 0.9463361554181374
train loss: 5.193356513977051
train per: 0.9650720373376623
train loss: 4.772411823272705
train per: 0.9590745889911724
train loss: 4.866469860076904
train per: 0.9291615035109458
train loss: 4.669166564941406
train per: 0.9330574092589579
train loss: 4.781598091125488
train per: 0.9341648847707293
train loss: 5.090346813201904
train per: 0.9551669977364069
train loss: 4.696620941162109
train per: 0.9601693732260016
train loss: 4.974796772003174
train per: 0.9256646901300689
train loss: 4.914443016052246
train per: 0.9263822912396614
train loss: 4.990733623504639
train per: 0.9407385666257537
train loss: 5.533350944519043
train per: 0.9216588511137163
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   9%|▊         | 301/3515 [00:00<00:01, 3002.68it/s]

word -> phonemes:  17%|█▋        | 602/3515 [00:00<00:00, 2991.91it/s]

word -> phonemes:  26%|██▌       | 916/3515 [00:00<00:00, 3057.50it/s]

word -> phonemes:  35%|███▌      | 1232/3515 [00:00<00:00, 3097.11it/s]

word -> phonemes:  45%|████▍     | 1570/3515 [00:00<00:00, 3195.77it/s]

word -> phonemes:  54%|█████▍    | 1890/3515 [00:00<00:00, 3183.48it/s]

word -> phonemes:  63%|██████▎   | 2222/3515 [00:00<00:00, 3227.44it/s]

word -> phonemes:  72%|███████▏  | 2545/3515 [00:00<00:00, 3095.38it/s]

word -> phonemes:  81%|████████▏ | 2856/3515 [00:00<00:00, 2883.48it/s]

word -> phonemes:  90%|████████▉ | 3148/3515 [00:01<00:00, 2664.47it/s]

word -> phonemes:  97%|█████████▋| 3419/3515 [00:01<00:00, 2532.55it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2848.47it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [34:13<13:24,  1.66s/it]

train:   0%|          | 1/3515 [00:01<1:53:22,  1.94s/it]
overall:  88%|████████▊ | 3517/4000 [34:13<09:48,  1.22s/it]

train:   0%|          | 2/3515 [00:02<52:59,  1.11it/s]  
overall:  88%|████████▊ | 3518/4000 [34:13<07:52,  1.02it/s]

train:   0%|          | 3/3515 [00:02<40:08,  1.46it/s]
overall:  88%|████████▊ | 3519/4000 [34:14<06:42,  1.20it/s]

train:   0%|          | 4/3515 [00:03<35:49,  1.63it/s]
overall:  88%|████████▊ | 3520/4000 [34:14<05:37,  1.42it/s]

train:   0%|          | 5/3515 [00:03<31:12,  1.87it/s]
overall:  88%|████████▊ | 3521/4000 [34:15<04:49,  1.65it/s]

train:   0%|          | 6/3515 [00:03<28:02,  2.09it/s]
overall:  88%|████████▊ | 3522/4000 [34:15<03:47,  2.10it/s]

train:   0%|          | 7/3515 [00:03<22:15,  2.63it/s]
overall:  88%|████████▊ | 3523/4000 [34:15<03:56,  2.02it/s]

train:   0%|          | 8/3515 [00:04<25:13,  2.32it/s]
overall:  88%|████████▊ | 3524/4000 [34:16<04:01,  1.97it/s]

train:   0%|          | 9/3515 [00:05<27:03,  2.16it/s]
overall:  88%|████████▊ | 3525/4000 [34:16<03:41,  2.14it/s]

train:   0%|          | 10/3515 [00:05<25:27,  2.30it/s]
overall:  88%|████████▊ | 3526/4000 [34:16<03:00,  2.62it/s]

train:   0%|          | 11/3515 [00:05<20:54,  2.79it/s]
overall:  88%|████████▊ | 3527/4000 [34:17<03:23,  2.32it/s]

train:   0%|          | 12/3515 [00:06<24:13,  2.41it/s]
overall:  88%|████████▊ | 3528/4000 [34:17<03:21,  2.34it/s]

train:   0%|          | 13/3515 [00:06<24:19,  2.40it/s]
overall:  88%|████████▊ | 3529/4000 [34:18<03:34,  2.20it/s]

train:   0%|          | 14/3515 [00:07<26:07,  2.23it/s]
overall:  88%|████████▊ | 3530/4000 [34:18<03:27,  2.26it/s]

train:   0%|          | 15/3515 [00:07<25:30,  2.29it/s]
overall:  88%|████████▊ | 3531/4000 [34:19<03:29,  2.24it/s]

train:   0%|          | 16/3515 [00:07<25:48,  2.26it/s]
overall:  88%|████████▊ | 3532/4000 [34:19<03:38,  2.14it/s]

train:   0%|          | 17/3515 [00:08<27:02,  2.16it/s]
overall:  88%|████████▊ | 3533/4000 [34:20<03:28,  2.24it/s]

train:   1%|          | 18/3515 [00:08<25:52,  2.25it/s]
overall:  88%|████████▊ | 3534/4000 [34:20<03:36,  2.15it/s]

train:   1%|          | 19/3515 [00:09<27:00,  2.16it/s]
overall:  88%|████████▊ | 3535/4000 [34:21<03:40,  2.11it/s]

train:   1%|          | 20/3515 [00:09<27:36,  2.11it/s]
overall:  88%|████████▊ | 3536/4000 [34:21<03:41,  2.10it/s]

train:   1%|          | 21/3515 [00:10<27:44,  2.10it/s]
overall:  88%|████████▊ | 3537/4000 [34:21<02:59,  2.59it/s]

train:   1%|          | 22/3515 [00:10<22:29,  2.59it/s]
overall:  88%|████████▊ | 3538/4000 [34:22<03:12,  2.40it/s]

train:   1%|          | 23/3515 [00:11<24:12,  2.40it/s]
overall:  88%|████████▊ | 3539/4000 [34:22<03:28,  2.21it/s]

train:   1%|          | 24/3515 [00:11<26:16,  2.21it/s]
overall:  88%|████████▊ | 3540/4000 [34:23<03:46,  2.03it/s]

train:   1%|          | 25/3515 [00:12<28:38,  2.03it/s]
overall:  89%|████████▊ | 3541/4000 [34:24<03:50,  1.99it/s]

train:   1%|          | 26/3515 [00:12<29:13,  1.99it/s]
overall:  89%|████████▊ | 3542/4000 [34:24<03:47,  2.01it/s]

train:   1%|          | 27/3515 [00:13<28:52,  2.01it/s]
overall:  89%|████████▊ | 3543/4000 [34:24<03:04,  2.48it/s]

train:   1%|          | 28/3515 [00:13<23:27,  2.48it/s]
overall:  89%|████████▊ | 3544/4000 [34:25<03:16,  2.32it/s]

train:   1%|          | 29/3515 [00:13<25:03,  2.32it/s]
overall:  89%|████████▊ | 3545/4000 [34:25<02:41,  2.81it/s]

train:   1%|          | 30/3515 [00:14<20:38,  2.81it/s]
overall:  89%|████████▊ | 3546/4000 [34:25<03:03,  2.48it/s]

train:   1%|          | 31/3515 [00:14<23:26,  2.48it/s]
overall:  89%|████████▊ | 3547/4000 [34:26<03:18,  2.28it/s]

train:   1%|          | 32/3515 [00:15<25:26,  2.28it/s]
overall:  89%|████████▊ | 3548/4000 [34:26<03:27,  2.18it/s]

train:   1%|          | 33/3515 [00:15<26:35,  2.18it/s]
overall:  89%|████████▊ | 3549/4000 [34:27<03:31,  2.13it/s]

train:   1%|          | 34/3515 [00:16<27:15,  2.13it/s]
overall:  89%|████████▉ | 3550/4000 [34:27<03:27,  2.17it/s]

train:   1%|          | 35/3515 [00:16<26:43,  2.17it/s]
overall:  89%|████████▉ | 3551/4000 [34:28<03:39,  2.04it/s]

train:   1%|          | 36/3515 [00:17<28:23,  2.04it/s]
overall:  89%|████████▉ | 3552/4000 [34:29<03:54,  1.91it/s]

train:   1%|          | 37/3515 [00:17<30:19,  1.91it/s]
overall:  89%|████████▉ | 3553/4000 [34:29<03:53,  1.91it/s]

train:   1%|          | 38/3515 [00:18<30:19,  1.91it/s]
overall:  89%|████████▉ | 3554/4000 [34:30<03:52,  1.92it/s]

train:   1%|          | 39/3515 [00:18<30:12,  1.92it/s]
overall:  89%|████████▉ | 3555/4000 [34:30<03:07,  2.37it/s]

train:   1%|          | 40/3515 [00:18<24:24,  2.37it/s]
overall:  89%|████████▉ | 3556/4000 [34:30<03:16,  2.26it/s]

train:   1%|          | 41/3515 [00:19<25:33,  2.26it/s]
overall:  89%|████████▉ | 3557/4000 [34:31<03:23,  2.18it/s]

train:   1%|          | 42/3515 [00:19<26:36,  2.18it/s]
overall:  89%|████████▉ | 3558/4000 [34:31<03:28,  2.12it/s]

train:   1%|          | 43/3515 [00:20<27:16,  2.12it/s]
overall:  89%|████████▉ | 3559/4000 [34:31<02:59,  2.46it/s]

train:   1%|▏         | 44/3515 [00:20<23:33,  2.46it/s]
overall:  89%|████████▉ | 3560/4000 [34:32<03:12,  2.28it/s]

train:   1%|▏         | 45/3515 [00:21<25:21,  2.28it/s]
overall:  89%|████████▉ | 3561/4000 [34:33<03:23,  2.16it/s]

train:   1%|▏         | 46/3515 [00:21<26:46,  2.16it/s]
overall:  89%|████████▉ | 3562/4000 [34:33<03:30,  2.08it/s]

train:   1%|▏         | 47/3515 [00:22<27:46,  2.08it/s]
overall:  89%|████████▉ | 3563/4000 [34:33<03:07,  2.33it/s]

train:   1%|▏         | 48/3515 [00:22<24:45,  2.33it/s]
overall:  89%|████████▉ | 3564/4000 [34:34<03:39,  1.99it/s]

train:   1%|▏         | 49/3515 [00:23<29:05,  1.99it/s]
overall:  89%|████████▉ | 3565/4000 [34:34<03:05,  2.35it/s]

train:   1%|▏         | 50/3515 [00:23<24:37,  2.35it/s]
overall:  89%|████████▉ | 3566/4000 [34:35<03:17,  2.19it/s]

train:   1%|▏         | 51/3515 [00:23<26:19,  2.19it/s]
overall:  89%|████████▉ | 3567/4000 [34:35<03:19,  2.17it/s]

train:   1%|▏         | 52/3515 [00:24<26:38,  2.17it/s]
overall:  89%|████████▉ | 3568/4000 [34:35<02:42,  2.65it/s]

train:   2%|▏         | 53/3515 [00:24<21:46,  2.65it/s]
overall:  89%|████████▉ | 3569/4000 [34:36<02:57,  2.43it/s]

train:   2%|▏         | 54/3515 [00:25<23:47,  2.43it/s]
overall:  89%|████████▉ | 3570/4000 [34:36<03:07,  2.30it/s]

train:   2%|▏         | 55/3515 [00:25<25:07,  2.30it/s]
overall:  89%|████████▉ | 3571/4000 [34:37<03:16,  2.19it/s]

train:   2%|▏         | 56/3515 [00:26<26:21,  2.19it/s]
overall:  89%|████████▉ | 3572/4000 [34:37<03:23,  2.10it/s]

train:   2%|▏         | 57/3515 [00:26<27:23,  2.10it/s]
overall:  89%|████████▉ | 3573/4000 [34:38<03:25,  2.08it/s]

train:   2%|▏         | 58/3515 [00:27<27:42,  2.08it/s]
overall:  89%|████████▉ | 3574/4000 [34:38<03:29,  2.04it/s]

train:   2%|▏         | 59/3515 [00:27<28:15,  2.04it/s]
overall:  89%|████████▉ | 3575/4000 [34:39<03:30,  2.02it/s]

train:   2%|▏         | 60/3515 [00:28<28:34,  2.02it/s]
overall:  89%|████████▉ | 3576/4000 [34:40<03:52,  1.83it/s]

train:   2%|▏         | 61/3515 [00:28<31:31,  1.83it/s]
overall:  89%|████████▉ | 3577/4000 [34:40<03:41,  1.91it/s]

train:   2%|▏         | 62/3515 [00:29<30:04,  1.91it/s]
overall:  89%|████████▉ | 3578/4000 [34:41<03:39,  1.93it/s]

train:   2%|▏         | 63/3515 [00:29<29:52,  1.93it/s]
overall:  89%|████████▉ | 3579/4000 [34:41<03:38,  1.92it/s]

train:   2%|▏         | 64/3515 [00:30<29:54,  1.92it/s]
overall:  90%|████████▉ | 3580/4000 [34:42<03:38,  1.92it/s]

train:   2%|▏         | 65/3515 [00:30<29:54,  1.92it/s]
overall:  90%|████████▉ | 3581/4000 [34:42<03:36,  1.93it/s]

train:   2%|▏         | 66/3515 [00:31<29:45,  1.93it/s]
overall:  90%|████████▉ | 3582/4000 [34:43<03:37,  1.92it/s]

train:   2%|▏         | 67/3515 [00:31<29:55,  1.92it/s]
overall:  90%|████████▉ | 3583/4000 [34:43<03:32,  1.96it/s]

train:   2%|▏         | 68/3515 [00:32<29:19,  1.96it/s]
overall:  90%|████████▉ | 3584/4000 [34:43<02:58,  2.34it/s]

train:   2%|▏         | 69/3515 [00:32<24:35,  2.34it/s]
overall:  90%|████████▉ | 3585/4000 [34:44<02:17,  3.02it/s]

train:   2%|▏         | 70/3515 [00:32<18:59,  3.02it/s]
overall:  90%|████████▉ | 3586/4000 [34:44<02:38,  2.62it/s]

train:   2%|▏         | 71/3515 [00:33<21:56,  2.62it/s]
overall:  90%|████████▉ | 3587/4000 [34:45<02:55,  2.36it/s]

train:   2%|▏         | 72/3515 [00:33<24:19,  2.36it/s]
overall:  90%|████████▉ | 3588/4000 [34:45<03:21,  2.05it/s]

train:   2%|▏         | 73/3515 [00:34<28:02,  2.05it/s]
overall:  90%|████████▉ | 3589/4000 [34:46<03:25,  2.00it/s]

train:   2%|▏         | 74/3515 [00:34<28:38,  2.00it/s]
overall:  90%|████████▉ | 3590/4000 [34:46<03:25,  1.99it/s]

train:   2%|▏         | 75/3515 [00:35<28:44,  1.99it/s]
overall:  90%|████████▉ | 3591/4000 [34:47<03:16,  2.09it/s]

train:   2%|▏         | 76/3515 [00:35<27:28,  2.09it/s]
overall:  90%|████████▉ | 3592/4000 [34:47<03:06,  2.19it/s]

train:   2%|▏         | 77/3515 [00:36<26:10,  2.19it/s]
overall:  90%|████████▉ | 3593/4000 [34:48<03:13,  2.10it/s]

train:   2%|▏         | 78/3515 [00:36<27:13,  2.10it/s]
overall:  90%|████████▉ | 3594/4000 [34:48<03:13,  2.10it/s]

train:   2%|▏         | 79/3515 [00:37<27:16,  2.10it/s]
overall:  90%|████████▉ | 3595/4000 [34:48<03:00,  2.25it/s]

train:   2%|▏         | 80/3515 [00:37<25:26,  2.25it/s]
overall:  90%|████████▉ | 3596/4000 [34:49<02:58,  2.26it/s]

train:   2%|▏         | 81/3515 [00:38<25:20,  2.26it/s]
overall:  90%|████████▉ | 3597/4000 [34:49<03:07,  2.15it/s]

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overall:  90%|████████▉ | 3598/4000 [34:50<03:05,  2.17it/s]

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overall:  90%|████████▉ | 3599/4000 [34:50<02:58,  2.25it/s]

train:   2%|▏         | 84/3515 [00:39<25:26,  2.25it/s]
overall:  90%|█████████ | 3600/4000 [34:51<03:24,  1.96it/s]

train:   2%|▏         | 85/3515 [00:40<29:10,  1.96it/s]
overall:  90%|█████████ | 3601/4000 [34:51<03:23,  1.96it/s]

train:   2%|▏         | 86/3515 [00:40<29:08,  1.96it/s]
overall:  90%|█████████ | 3602/4000 [34:52<03:16,  2.03it/s]

train:   2%|▏         | 87/3515 [00:41<28:08,  2.03it/s]
overall:  90%|█████████ | 3603/4000 [34:52<03:16,  2.02it/s]

train:   3%|▎         | 88/3515 [00:41<28:19,  2.02it/s]
overall:  90%|█████████ | 3604/4000 [34:53<03:17,  2.01it/s]

train:   3%|▎         | 89/3515 [00:42<28:25,  2.01it/s]
overall:  90%|█████████ | 3605/4000 [34:53<02:30,  2.62it/s]

train:   3%|▎         | 90/3515 [00:42<21:46,  2.62it/s]
overall:  90%|█████████ | 3606/4000 [34:53<02:31,  2.60it/s]

train:   3%|▎         | 91/3515 [00:42<21:54,  2.60it/s]
overall:  90%|█████████ | 3607/4000 [34:54<02:42,  2.42it/s]

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overall:  90%|█████████ | 3608/4000 [34:54<02:36,  2.50it/s]

train:   3%|▎         | 93/3515 [00:43<22:47,  2.50it/s]
overall:  90%|█████████ | 3609/4000 [34:55<02:42,  2.40it/s]

train:   3%|▎         | 94/3515 [00:43<23:45,  2.40it/s]
overall:  90%|█████████ | 3610/4000 [34:55<02:50,  2.29it/s]

train:   3%|▎         | 95/3515 [00:44<24:54,  2.29it/s]
overall:  90%|█████████ | 3611/4000 [34:56<03:00,  2.16it/s]

train:   3%|▎         | 96/3515 [00:44<26:23,  2.16it/s]
overall:  90%|█████████ | 3612/4000 [34:56<03:16,  1.97it/s]

train:   3%|▎         | 97/3515 [00:45<28:52,  1.97it/s]
overall:  90%|█████████ | 3613/4000 [34:57<03:10,  2.03it/s]

train:   3%|▎         | 98/3515 [00:45<28:03,  2.03it/s]
overall:  90%|█████████ | 3614/4000 [34:57<03:09,  2.04it/s]

train:   3%|▎         | 99/3515 [00:46<27:57,  2.04it/s]
overall:  90%|█████████ | 3615/4000 [34:58<03:11,  2.01it/s]

train:   3%|▎         | 100/3515 [00:46<28:22,  2.01it/s]
overall:  90%|█████████ | 3616/4000 [34:58<03:14,  1.98it/s]

train:   3%|▎         | 101/3515 [00:47<28:45,  1.98it/s]
overall:  90%|█████████ | 3617/4000 [34:59<03:12,  1.99it/s]

train:   3%|▎         | 102/3515 [00:47<28:31,  1.99it/s]
overall:  90%|█████████ | 3618/4000 [34:59<03:15,  1.95it/s]

train:   3%|▎         | 103/3515 [00:48<29:06,  1.95it/s]
overall:  90%|█████████ | 3619/4000 [35:00<03:14,  1.95it/s]

train:   3%|▎         | 104/3515 [00:48<29:05,  1.95it/s]
overall:  90%|█████████ | 3620/4000 [35:00<03:15,  1.95it/s]

train:   3%|▎         | 105/3515 [00:49<29:11,  1.95it/s]
overall:  91%|█████████ | 3621/4000 [35:01<03:16,  1.93it/s]

train:   3%|▎         | 106/3515 [00:50<29:23,  1.93it/s]
overall:  91%|█████████ | 3622/4000 [35:01<03:11,  1.97it/s]

train:   3%|▎         | 107/3515 [00:50<28:50,  1.97it/s]
overall:  91%|█████████ | 3623/4000 [35:02<03:13,  1.95it/s]

train:   3%|▎         | 108/3515 [00:51<29:10,  1.95it/s]
overall:  91%|█████████ | 3624/4000 [35:03<03:29,  1.79it/s]

train:   3%|▎         | 109/3515 [00:51<31:37,  1.79it/s]
overall:  91%|█████████ | 3625/4000 [35:03<03:24,  1.83it/s]

train:   3%|▎         | 110/3515 [00:52<31:00,  1.83it/s]
overall:  91%|█████████ | 3626/4000 [35:03<03:11,  1.95it/s]

train:   3%|▎         | 111/3515 [00:52<29:06,  1.95it/s]
overall:  91%|█████████ | 3627/4000 [35:04<03:11,  1.94it/s]

train:   3%|▎         | 112/3515 [00:53<29:10,  1.94it/s]
overall:  91%|█████████ | 3628/4000 [35:04<02:34,  2.40it/s]

train:   3%|▎         | 113/3515 [00:53<23:35,  2.40it/s]
overall:  91%|█████████ | 3629/4000 [35:05<02:44,  2.26it/s]

train:   3%|▎         | 114/3515 [00:53<25:05,  2.26it/s]
overall:  91%|█████████ | 3630/4000 [35:05<02:50,  2.17it/s]

train:   3%|▎         | 115/3515 [00:54<26:07,  2.17it/s]
overall:  91%|█████████ | 3631/4000 [35:06<02:47,  2.20it/s]

train:   3%|▎         | 116/3515 [00:54<25:42,  2.20it/s]
overall:  91%|█████████ | 3632/4000 [35:06<02:52,  2.13it/s]

train:   3%|▎         | 117/3515 [00:55<26:32,  2.13it/s]
overall:  91%|█████████ | 3633/4000 [35:07<02:57,  2.06it/s]

train:   3%|▎         | 118/3515 [00:55<27:26,  2.06it/s]
overall:  91%|█████████ | 3634/4000 [35:07<03:00,  2.03it/s]

train:   3%|▎         | 119/3515 [00:56<27:52,  2.03it/s]
overall:  91%|█████████ | 3635/4000 [35:08<03:04,  1.98it/s]

train:   3%|▎         | 120/3515 [00:56<28:31,  1.98it/s]
overall:  91%|█████████ | 3636/4000 [35:08<03:19,  1.82it/s]

train:   3%|▎         | 121/3515 [00:57<31:03,  1.82it/s]
overall:  91%|█████████ | 3637/4000 [35:09<03:17,  1.84it/s]

train:   3%|▎         | 122/3515 [00:58<30:48,  1.84it/s]
overall:  91%|█████████ | 3638/4000 [35:09<03:10,  1.90it/s]

train:   3%|▎         | 123/3515 [00:58<29:47,  1.90it/s]
overall:  91%|█████████ | 3639/4000 [35:10<03:09,  1.90it/s]

train:   4%|▎         | 124/3515 [00:59<29:42,  1.90it/s]
overall:  91%|█████████ | 3640/4000 [35:10<03:07,  1.92it/s]

train:   4%|▎         | 125/3515 [00:59<29:30,  1.92it/s]
overall:  91%|█████████ | 3641/4000 [35:11<03:06,  1.92it/s]

train:   4%|▎         | 126/3515 [01:00<29:20,  1.92it/s]
overall:  91%|█████████ | 3642/4000 [35:11<03:05,  1.93it/s]

train:   4%|▎         | 127/3515 [01:00<29:14,  1.93it/s]
overall:  91%|█████████ | 3643/4000 [35:12<03:03,  1.94it/s]

train:   4%|▎         | 128/3515 [01:01<29:01,  1.94it/s]
overall:  91%|█████████ | 3644/4000 [35:12<03:00,  1.97it/s]

train:   4%|▎         | 129/3515 [01:01<28:40,  1.97it/s]
overall:  91%|█████████ | 3645/4000 [35:13<03:00,  1.97it/s]

train:   4%|▎         | 130/3515 [01:02<28:41,  1.97it/s]
overall:  91%|█████████ | 3646/4000 [35:13<03:01,  1.95it/s]

train:   4%|▎         | 131/3515 [01:02<28:58,  1.95it/s]
overall:  91%|█████████ | 3647/4000 [35:14<02:43,  2.16it/s]

train:   4%|▍         | 132/3515 [01:02<26:04,  2.16it/s]
overall:  91%|█████████ | 3648/4000 [35:14<02:40,  2.19it/s]

train:   4%|▍         | 133/3515 [01:03<25:43,  2.19it/s]
overall:  91%|█████████ | 3649/4000 [35:15<02:43,  2.15it/s]

train:   4%|▍         | 134/3515 [01:03<26:11,  2.15it/s]
overall:  91%|█████████▏| 3650/4000 [35:15<02:32,  2.30it/s]

train:   4%|▍         | 135/3515 [01:04<24:28,  2.30it/s]
overall:  91%|█████████▏| 3651/4000 [35:15<02:15,  2.58it/s]

train:   4%|▍         | 136/3515 [01:04<21:50,  2.58it/s]
overall:  91%|█████████▏| 3652/4000 [35:16<02:25,  2.39it/s]

train:   4%|▍         | 137/3515 [01:05<23:32,  2.39it/s]
overall:  91%|█████████▏| 3653/4000 [35:16<02:36,  2.22it/s]

train:   4%|▍         | 138/3515 [01:05<25:21,  2.22it/s]
overall:  91%|█████████▏| 3655/4000 [35:17<02:11,  2.63it/s]

train:   4%|▍         | 140/3515 [01:06<21:25,  2.63it/s]
overall:  91%|█████████▏| 3656/4000 [35:18<02:23,  2.39it/s]

train:   4%|▍         | 141/3515 [01:06<23:29,  2.39it/s]
overall:  91%|█████████▏| 3657/4000 [35:18<02:32,  2.25it/s]

train:   4%|▍         | 142/3515 [01:07<25:01,  2.25it/s]
overall:  91%|█████████▏| 3658/4000 [35:19<02:36,  2.18it/s]

train:   4%|▍         | 143/3515 [01:07<25:43,  2.18it/s]
overall:  91%|█████████▏| 3659/4000 [35:19<02:41,  2.12it/s]

train:   4%|▍         | 144/3515 [01:08<26:32,  2.12it/s]
overall:  92%|█████████▏| 3660/4000 [35:20<02:51,  1.99it/s]

train:   4%|▍         | 145/3515 [01:08<28:15,  1.99it/s]
overall:  92%|█████████▏| 3661/4000 [35:20<02:49,  2.00it/s]

train:   4%|▍         | 146/3515 [01:09<28:01,  2.00it/s]
overall:  92%|█████████▏| 3662/4000 [35:21<02:48,  2.00it/s]

train:   4%|▍         | 147/3515 [01:09<28:01,  2.00it/s]
overall:  92%|█████████▏| 3663/4000 [35:21<02:11,  2.57it/s]

train:   4%|▍         | 148/3515 [01:09<21:51,  2.57it/s]
overall:  92%|█████████▏| 3664/4000 [35:21<02:23,  2.33it/s]

train:   4%|▍         | 149/3515 [01:10<24:02,  2.33it/s]
overall:  92%|█████████▏| 3665/4000 [35:22<02:31,  2.21it/s]

train:   4%|▍         | 150/3515 [01:10<25:24,  2.21it/s]
overall:  92%|█████████▏| 3666/4000 [35:22<02:35,  2.14it/s]

train:   4%|▍         | 151/3515 [01:11<26:10,  2.14it/s]
overall:  92%|█████████▏| 3667/4000 [35:22<02:06,  2.63it/s]

train:   4%|▍         | 152/3515 [01:11<21:17,  2.63it/s]
overall:  92%|█████████▏| 3669/4000 [35:23<01:52,  2.95it/s]

train:   4%|▍         | 154/3515 [01:12<18:59,  2.95it/s]
overall:  92%|█████████▏| 3670/4000 [35:24<02:07,  2.60it/s]

train:   4%|▍         | 155/3515 [01:12<21:33,  2.60it/s]
overall:  92%|█████████▏| 3671/4000 [35:24<02:19,  2.37it/s]

train:   4%|▍         | 156/3515 [01:13<23:39,  2.37it/s]
overall:  92%|█████████▏| 3672/4000 [35:25<02:36,  2.10it/s]

train:   4%|▍         | 157/3515 [01:13<26:41,  2.10it/s]
overall:  92%|█████████▏| 3673/4000 [35:25<02:04,  2.64it/s]

train:   4%|▍         | 158/3515 [01:13<21:13,  2.64it/s]
overall:  92%|█████████▏| 3674/4000 [35:25<02:15,  2.41it/s]

train:   5%|▍         | 159/3515 [01:14<23:11,  2.41it/s]
overall:  92%|█████████▏| 3675/4000 [35:26<02:23,  2.27it/s]

train:   5%|▍         | 160/3515 [01:15<24:39,  2.27it/s]
overall:  92%|█████████▏| 3676/4000 [35:26<02:28,  2.18it/s]

train:   5%|▍         | 161/3515 [01:15<25:35,  2.18it/s]
overall:  92%|█████████▏| 3677/4000 [35:27<02:27,  2.19it/s]

train:   5%|▍         | 162/3515 [01:15<25:32,  2.19it/s]
overall:  92%|█████████▏| 3678/4000 [35:27<02:31,  2.12it/s]

train:   5%|▍         | 163/3515 [01:16<26:19,  2.12it/s]
overall:  92%|█████████▏| 3679/4000 [35:28<02:34,  2.08it/s]

train:   5%|▍         | 164/3515 [01:16<26:48,  2.08it/s]
overall:  92%|█████████▏| 3680/4000 [35:28<02:35,  2.06it/s]

train:   5%|▍         | 165/3515 [01:17<27:03,  2.06it/s]
overall:  92%|█████████▏| 3681/4000 [35:29<02:39,  2.00it/s]

train:   5%|▍         | 166/3515 [01:17<27:53,  2.00it/s]
overall:  92%|█████████▏| 3682/4000 [35:29<02:08,  2.48it/s]

train:   5%|▍         | 167/3515 [01:18<22:30,  2.48it/s]
overall:  92%|█████████▏| 3683/4000 [35:30<02:18,  2.28it/s]

train:   5%|▍         | 168/3515 [01:18<24:26,  2.28it/s]
overall:  92%|█████████▏| 3684/4000 [35:30<02:37,  2.01it/s]

train:   5%|▍         | 169/3515 [01:19<27:44,  2.01it/s]
overall:  92%|█████████▏| 3685/4000 [35:31<02:32,  2.06it/s]

train:   5%|▍         | 170/3515 [01:19<27:02,  2.06it/s]
overall:  92%|█████████▏| 3686/4000 [35:31<02:32,  2.06it/s]

train:   5%|▍         | 171/3515 [01:20<26:59,  2.06it/s]
overall:  92%|█████████▏| 3687/4000 [35:31<02:20,  2.22it/s]

train:   5%|▍         | 172/3515 [01:20<25:03,  2.22it/s]
overall:  92%|█████████▏| 3688/4000 [35:32<02:18,  2.25it/s]

train:   5%|▍         | 173/3515 [01:21<24:45,  2.25it/s]
overall:  92%|█████████▏| 3689/4000 [35:32<02:23,  2.16it/s]

train:   5%|▍         | 174/3515 [01:21<25:43,  2.16it/s]
overall:  92%|█████████▏| 3690/4000 [35:33<02:28,  2.09it/s]

train:   5%|▍         | 175/3515 [01:22<26:38,  2.09it/s]
overall:  92%|█████████▏| 3691/4000 [35:33<02:31,  2.03it/s]

train:   5%|▌         | 176/3515 [01:22<27:21,  2.03it/s]
overall:  92%|█████████▏| 3692/4000 [35:34<02:32,  2.02it/s]

train:   5%|▌         | 177/3515 [01:23<27:33,  2.02it/s]
overall:  92%|█████████▏| 3693/4000 [35:34<02:34,  1.99it/s]

train:   5%|▌         | 178/3515 [01:23<27:54,  1.99it/s]
overall:  92%|█████████▏| 3694/4000 [35:35<02:35,  1.96it/s]

train:   5%|▌         | 179/3515 [01:24<28:19,  1.96it/s]
overall:  92%|█████████▏| 3695/4000 [35:35<02:16,  2.23it/s]

train:   5%|▌         | 180/3515 [01:24<24:52,  2.23it/s]
overall:  92%|█████████▏| 3696/4000 [35:36<02:22,  2.13it/s]

train:   5%|▌         | 181/3515 [01:24<26:08,  2.13it/s]
overall:  92%|█████████▏| 3697/4000 [35:36<01:50,  2.74it/s]

train:   5%|▌         | 182/3515 [01:25<20:17,  2.74it/s]
overall:  92%|█████████▏| 3698/4000 [35:36<02:04,  2.43it/s]

train:   5%|▌         | 183/3515 [01:25<22:49,  2.43it/s]
overall:  92%|█████████▏| 3699/4000 [35:37<02:12,  2.28it/s]

train:   5%|▌         | 184/3515 [01:26<24:23,  2.28it/s]
overall:  92%|█████████▎| 3700/4000 [35:37<02:13,  2.25it/s]

train:   5%|▌         | 185/3515 [01:26<24:41,  2.25it/s]
overall:  93%|█████████▎| 3701/4000 [35:38<02:18,  2.16it/s]

train:   5%|▌         | 186/3515 [01:27<25:44,  2.16it/s]
overall:  93%|█████████▎| 3702/4000 [35:38<02:12,  2.26it/s]

train:   5%|▌         | 187/3515 [01:27<24:34,  2.26it/s]
overall:  93%|█████████▎| 3703/4000 [35:39<02:19,  2.13it/s]

train:   5%|▌         | 188/3515 [01:28<26:02,  2.13it/s]
overall:  93%|█████████▎| 3704/4000 [35:39<02:20,  2.11it/s]

train:   5%|▌         | 189/3515 [01:28<26:14,  2.11it/s]
overall:  93%|█████████▎| 3705/4000 [35:40<02:13,  2.22it/s]

train:   5%|▌         | 190/3515 [01:28<25:00,  2.22it/s]
overall:  93%|█████████▎| 3706/4000 [35:40<02:19,  2.11it/s]

train:   5%|▌         | 191/3515 [01:29<26:12,  2.11it/s]
overall:  93%|█████████▎| 3707/4000 [35:41<01:58,  2.46it/s]

train:   5%|▌         | 192/3515 [01:29<22:28,  2.46it/s]
overall:  93%|█████████▎| 3708/4000 [35:41<02:11,  2.21it/s]

train:   5%|▌         | 193/3515 [01:30<25:01,  2.21it/s]
overall:  93%|█████████▎| 3709/4000 [35:41<02:09,  2.25it/s]

train:   6%|▌         | 194/3515 [01:30<24:32,  2.25it/s]
overall:  93%|█████████▎| 3710/4000 [35:42<01:57,  2.47it/s]

train:   6%|▌         | 195/3515 [01:30<22:22,  2.47it/s]
overall:  93%|█████████▎| 3711/4000 [35:42<02:04,  2.32it/s]

train:   6%|▌         | 196/3515 [01:31<23:51,  2.32it/s]
overall:  93%|█████████▎| 3712/4000 [35:43<02:10,  2.21it/s]

train:   6%|▌         | 197/3515 [01:31<25:00,  2.21it/s]
overall:  93%|█████████▎| 3713/4000 [35:43<02:12,  2.16it/s]

train:   6%|▌         | 198/3515 [01:32<25:33,  2.16it/s]
overall:  93%|█████████▎| 3714/4000 [35:44<02:11,  2.17it/s]

train:   6%|▌         | 199/3515 [01:32<25:28,  2.17it/s]
overall:  93%|█████████▎| 3715/4000 [35:44<01:54,  2.49it/s]

train:   6%|▌         | 200/3515 [01:33<22:12,  2.49it/s]
overall:  93%|█████████▎| 3716/4000 [35:45<02:03,  2.30it/s]

train:   6%|▌         | 201/3515 [01:33<23:58,  2.30it/s]
overall:  93%|█████████▎| 3717/4000 [35:45<02:03,  2.30it/s]

train:   6%|▌         | 202/3515 [01:34<24:02,  2.30it/s]
overall:  93%|█████████▎| 3718/4000 [35:45<02:08,  2.20it/s]

train:   6%|▌         | 203/3515 [01:34<25:07,  2.20it/s]
overall:  93%|█████████▎| 3719/4000 [35:46<02:15,  2.07it/s]

train:   6%|▌         | 204/3515 [01:35<26:41,  2.07it/s]
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overall:  99%|█████████▊| 3949/4000 [37:36<00:24,  2.11it/s]

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overall:  99%|█████████▉| 3950/4000 [37:37<00:24,  2.07it/s]

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overall:  99%|█████████▉| 3951/4000 [37:37<00:24,  2.02it/s]

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overall:  99%|█████████▉| 3952/4000 [37:38<00:23,  2.03it/s]

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overall:  99%|█████████▉| 3953/4000 [37:38<00:23,  2.00it/s]

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overall:  99%|█████████▉| 3954/4000 [37:39<00:19,  2.36it/s]

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overall:  99%|█████████▉| 3955/4000 [37:39<00:20,  2.22it/s]

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overall:  99%|█████████▉| 3956/4000 [37:40<00:20,  2.10it/s]

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overall:  99%|█████████▉| 3957/4000 [37:40<00:20,  2.13it/s]

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overall:  99%|█████████▉| 3959/4000 [37:41<00:20,  2.05it/s]

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overall:  99%|█████████▉| 3968/4000 [37:45<00:15,  2.05it/s]

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overall:  99%|█████████▉| 3971/4000 [37:47<00:14,  1.96it/s]

train:  13%|█▎        | 456/3515 [03:36<25:56,  1.96it/s]
overall:  99%|█████████▉| 3972/4000 [37:48<00:14,  1.90it/s]

train:  13%|█▎        | 457/3515 [03:36<26:46,  1.90it/s]
overall:  99%|█████████▉| 3973/4000 [37:48<00:12,  2.25it/s]

train:  13%|█▎        | 458/3515 [03:37<22:39,  2.25it/s]
overall:  99%|█████████▉| 3974/4000 [37:48<00:12,  2.16it/s]

train:  13%|█▎        | 459/3515 [03:37<23:36,  2.16it/s]
overall:  99%|█████████▉| 3975/4000 [37:49<00:12,  2.01it/s]

train:  13%|█▎        | 460/3515 [03:38<25:22,  2.01it/s]
overall:  99%|█████████▉| 3976/4000 [37:49<00:12,  1.99it/s]

train:  13%|█▎        | 461/3515 [03:38<25:35,  1.99it/s]
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train:  13%|█▎        | 464/3515 [03:39<24:19,  2.09it/s]
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train:  13%|█▎        | 465/3515 [03:40<24:59,  2.03it/s]
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train:  13%|█▎        | 466/3515 [03:40<25:15,  2.01it/s]
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train:  13%|█▎        | 472/3515 [03:43<24:03,  2.11it/s]
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overall: 100%|█████████▉| 3997/4000 [37:59<00:01,  2.28it/s]

train:  14%|█▎        | 482/3515 [03:48<22:11,  2.28it/s]
overall: 100%|█████████▉| 3998/4000 [38:00<00:00,  2.16it/s]

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overall: 100%|█████████▉| 3999/4000 [38:00<00:00,  2.11it/s]

train:  14%|█▍        | 484/3515 [03:49<23:59,  2.11it/s]train loss: 4.753155708312988
train per: 0.9306127421123157
train loss: 5.246109962463379
train per: 0.9505547304970735
train loss: 4.860995292663574
train per: 0.947076343456457
train loss: 4.833916187286377
train per: 0.9561465721040189
train loss: 5.147342205047607
train per: 0.9275806983289804
train loss: 5.167759895324707
train per: 0.9355214845688201
train loss: 4.711019992828369
train per: 0.9411589213998852
train loss: 5.110469818115234
train per: 0.9252131298177548
train loss: 5.483434200286865
train per: 0.9347360912981455
train loss: 4.957873344421387
train per: 0.935541328927668
train loss: 4.96310567855835
train per: 0.9535410322479894
train loss: 4.78826379776001
train per: 0.9435296742525658
train loss: 4.748836517333984
train per: 0.9464146187775677
train loss: 5.368407249450684
train per: 0.9175650630400167
train loss: 5.0677056312561035
train per: 0.9359267734553776
train loss: 4.773291110992432
train per: 0.9403610328280905
train loss: 4.9738054275512695
train per: 0.9450519678833555
train loss: 5.087512969970703
train per: 0.952203260921234
train loss: 4.871633052825928
train per: 0.9514975082646667
train loss: 4.715670108795166
train per: 0.9449001051524711
train loss: 5.538708209991455
train per: 0.9284188034188035
train loss: 4.712441444396973
train per: 0.9082947275534966
train loss: 4.794590950012207
train per: 0.9397535807058935
train loss: 4.902677059173584
train per: 0.9419616806068858
train loss: 4.904369354248047
train per: 0.9368653093575073
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 273/2703 [00:00<00:00, 2715.98it/s]


word -> phonemes:  21%|██▏       | 575/2703 [00:00<00:00, 2892.01it/s]


word -> phonemes:  32%|███▏      | 865/2703 [00:00<00:00, 2801.11it/s]


word -> phonemes:  42%|████▏     | 1146/2703 [00:00<00:00, 2659.50it/s]


word -> phonemes:  54%|█████▎    | 1450/2703 [00:00<00:00, 2788.09it/s]


word -> phonemes:  64%|██████▍   | 1731/2703 [00:00<00:00, 2680.36it/s]


word -> phonemes:  74%|███████▍  | 2001/2703 [00:00<00:00, 2654.23it/s]


word -> phonemes:  84%|████████▍ | 2268/2703 [00:00<00:00, 2624.11it/s]


word -> phonemes:  97%|█████████▋| 2611/2703 [00:00<00:00, 2863.43it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2782.51it/s]



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overall: 100%|█████████▉| 3999/4000 [40:02<00:00,  2.11it/s]

train:  14%|█▍        | 484/3515 [05:51<23:59,  2.11it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [40:02<00:00,  2.11it/s]

train:  14%|█▍        | 484/3515 [05:51<23:59,  2.11it/s]
overall: 100%|██████████| 4000/4000 [40:02<00:00, 36.99s/it]

train:  14%|█▍        | 485/3515 [05:51<31:07:52, 36.99s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [05:51<36:38,  1.38it/s]   

overall: 100%|██████████| 4000/4000 [40:03<00:00,  1.66it/s]
dev loss: 5.960472106933594
dev per: 0.9386316337148803
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt