/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:   5%|▍         | 166/3515 [00:00<00:02, 1651.71it/s]

word -> phonemes:  10%|▉         | 335/3515 [00:00<00:01, 1651.33it/s]

word -> phonemes:  14%|█▍        | 501/3515 [00:00<00:01, 1585.09it/s]

word -> phonemes:  19%|█▉        | 660/3515 [00:00<00:01, 1476.63it/s]

word -> phonemes:  23%|██▎       | 809/3515 [00:00<00:01, 1379.51it/s]

word -> phonemes:  28%|██▊       | 972/3515 [00:00<00:01, 1434.70it/s]

word -> phonemes:  33%|███▎      | 1160/3515 [00:00<00:01, 1569.00it/s]

word -> phonemes:  43%|████▎     | 1502/3515 [00:00<00:00, 2103.69it/s]

word -> phonemes:  49%|████▉     | 1726/3515 [00:00<00:00, 2119.31it/s]

word -> phonemes:  55%|█████▌    | 1940/3515 [00:01<00:00, 1843.95it/s]

word -> phonemes:  63%|██████▎   | 2217/3515 [00:01<00:00, 2092.23it/s]

word -> phonemes:  69%|██████▉   | 2435/3515 [00:01<00:00, 1955.08it/s]

word -> phonemes:  75%|███████▌  | 2638/3515 [00:01<00:00, 1647.42it/s]

word -> phonemes:  81%|████████  | 2843/3515 [00:01<00:00, 1730.20it/s]

word -> phonemes:  86%|████████▌ | 3026/3515 [00:01<00:00, 1588.54it/s]

word -> phonemes:  93%|█████████▎| 3278/3515 [00:01<00:00, 1801.51it/s]

word -> phonemes:  99%|█████████▊| 3468/3515 [00:02<00:00, 1628.42it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:02<00:00, 1714.07it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:26:31,  4.90s/it]

train:   0%|          | 1/3515 [00:01<1:36:00,  1.64s/it]
overall:   0%|          | 2/4000 [00:05<2:47:27,  2.51s/it]

train:   0%|          | 2/3515 [00:02<1:08:33,  1.17s/it]
overall:   0%|          | 3/4000 [00:06<1:47:05,  1.61s/it]

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overall:   0%|          | 4/4000 [00:06<1:18:02,  1.17s/it]

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overall:   0%|          | 7/4000 [00:08<43:45,  1.52it/s]

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overall:   0%|          | 9/4000 [00:09<36:46,  1.81it/s]

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overall:   0%|          | 10/4000 [00:09<35:31,  1.87it/s]

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overall:   0%|          | 11/4000 [00:10<34:29,  1.93it/s]

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overall:   0%|          | 12/4000 [00:10<33:47,  1.97it/s]

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overall:   0%|          | 13/4000 [00:10<32:41,  2.03it/s]

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overall:   0%|          | 17/4000 [00:12<29:31,  2.25it/s]

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overall:   0%|          | 18/4000 [00:13<30:34,  2.17it/s]

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overall:   0%|          | 19/4000 [00:13<24:50,  2.67it/s]

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overall:   0%|          | 20/4000 [00:13<26:35,  2.49it/s]

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overall:   1%|          | 21/4000 [00:14<26:27,  2.51it/s]

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overall:   1%|          | 23/4000 [00:14<27:02,  2.45it/s]

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overall:   1%|          | 30/4000 [00:17<30:23,  2.18it/s]

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overall:   1%|          | 31/4000 [00:18<26:33,  2.49it/s]

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overall:   1%|          | 32/4000 [00:18<28:32,  2.32it/s]

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overall:   1%|          | 33/4000 [00:19<34:50,  1.90it/s]

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overall:   1%|          | 34/4000 [00:19<34:23,  1.92it/s]

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overall:   1%|          | 35/4000 [00:20<34:00,  1.94it/s]

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overall:   1%|          | 36/4000 [00:20<29:16,  2.26it/s]

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overall:   1%|          | 37/4000 [00:21<30:20,  2.18it/s]

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overall:   1%|          | 38/4000 [00:21<31:04,  2.12it/s]

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overall:   1%|          | 49/4000 [00:26<30:43,  2.14it/s]

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overall:   1%|▏         | 50/4000 [00:27<37:37,  1.75it/s]

train:   1%|▏         | 50/3515 [00:23<33:00,  1.75it/s]
overall:   1%|▏         | 51/4000 [00:27<35:20,  1.86it/s]

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overall:   1%|▏         | 52/4000 [00:28<34:01,  1.93it/s]

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overall:   1%|▏         | 53/4000 [00:28<33:35,  1.96it/s]

train:   2%|▏         | 53/3515 [00:25<29:27,  1.96it/s]
overall:   1%|▏         | 54/4000 [00:29<32:37,  2.02it/s]

train:   2%|▏         | 54/3515 [00:25<28:36,  2.02it/s]
overall:   1%|▏         | 55/4000 [00:29<31:47,  2.07it/s]

train:   2%|▏         | 55/3515 [00:26<27:52,  2.07it/s]
overall:   1%|▏         | 56/4000 [00:29<29:53,  2.20it/s]

train:   2%|▏         | 56/3515 [00:26<26:13,  2.20it/s]
overall:   1%|▏         | 57/4000 [00:30<30:22,  2.16it/s]

train:   2%|▏         | 57/3515 [00:27<26:38,  2.16it/s]
overall:   1%|▏         | 58/4000 [00:30<30:48,  2.13it/s]

train:   2%|▏         | 58/3515 [00:27<27:00,  2.13it/s]
overall:   1%|▏         | 59/4000 [00:31<30:54,  2.12it/s]

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overall:   2%|▏         | 60/4000 [00:31<32:29,  2.02it/s]

train:   2%|▏         | 60/3515 [00:28<28:29,  2.02it/s]
overall:   2%|▏         | 61/4000 [00:32<32:06,  2.04it/s]

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overall:   2%|▏         | 62/4000 [00:32<31:48,  2.06it/s]

train:   2%|▏         | 62/3515 [00:29<27:53,  2.06it/s]
overall:   2%|▏         | 63/4000 [00:33<31:40,  2.07it/s]

train:   2%|▏         | 63/3515 [00:30<27:46,  2.07it/s]
overall:   2%|▏         | 64/4000 [00:33<30:41,  2.14it/s]

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overall:   2%|▏         | 65/4000 [00:34<31:21,  2.09it/s]

train:   2%|▏         | 65/3515 [00:30<27:29,  2.09it/s]
overall:   2%|▏         | 66/4000 [00:34<31:58,  2.05it/s]

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overall:   2%|▏         | 67/4000 [00:35<31:16,  2.10it/s]

train:   2%|▏         | 67/3515 [00:31<27:24,  2.10it/s]
overall:   2%|▏         | 68/4000 [00:35<31:07,  2.11it/s]

train:   2%|▏         | 68/3515 [00:32<27:16,  2.11it/s]
overall:   2%|▏         | 69/4000 [00:36<31:25,  2.08it/s]

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overall:   2%|▏         | 70/4000 [00:36<30:15,  2.16it/s]

train:   2%|▏         | 70/3515 [00:33<26:31,  2.16it/s]
overall:   2%|▏         | 71/4000 [00:36<24:11,  2.71it/s]

train:   2%|▏         | 71/3515 [00:33<21:12,  2.71it/s]
overall:   2%|▏         | 72/4000 [00:37<26:26,  2.48it/s]

train:   2%|▏         | 72/3515 [00:33<23:10,  2.48it/s]
overall:   2%|▏         | 73/4000 [00:37<28:00,  2.34it/s]

train:   2%|▏         | 73/3515 [00:34<24:33,  2.34it/s]
overall:   2%|▏         | 74/4000 [00:38<28:46,  2.27it/s]

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overall:   2%|▏         | 77/4000 [00:39<31:05,  2.10it/s]

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overall:   3%|▎         | 115/4000 [00:56<29:11,  2.22it/s]

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overall:   3%|▎         | 116/4000 [00:57<29:43,  2.18it/s]

train:   3%|▎         | 116/3515 [00:54<26:00,  2.18it/s]
overall:   3%|▎         | 117/4000 [00:57<30:29,  2.12it/s]

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overall:   3%|▎         | 119/4000 [00:58<29:39,  2.18it/s]

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overall:   3%|▎         | 120/4000 [00:59<28:44,  2.25it/s]

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train:   4%|▎         | 127/3515 [00:59<26:38,  2.12it/s]
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train:   4%|▎         | 128/3515 [00:59<25:57,  2.17it/s]
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train:   4%|▎         | 129/3515 [01:00<25:49,  2.19it/s]
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train:   4%|▎         | 131/3515 [01:01<26:52,  2.10it/s]
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train:   4%|▍         | 132/3515 [01:01<27:54,  2.02it/s]
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train:   4%|▍         | 133/3515 [01:02<27:42,  2.03it/s]
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train:   4%|▍         | 134/3515 [01:02<27:25,  2.06it/s]
overall:   3%|▎         | 135/4000 [01:06<31:28,  2.05it/s]

train:   4%|▍         | 135/3515 [01:03<27:31,  2.05it/s]
overall:   3%|▎         | 136/4000 [01:06<31:11,  2.06it/s]

train:   4%|▍         | 136/3515 [01:03<27:16,  2.06it/s]
overall:   3%|▎         | 137/4000 [01:07<30:00,  2.14it/s]

train:   4%|▍         | 137/3515 [01:03<26:14,  2.14it/s]
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train:   4%|▍         | 138/3515 [01:04<28:00,  2.01it/s]
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train:   4%|▍         | 139/3515 [01:05<27:58,  2.01it/s]
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train:   4%|▍         | 140/3515 [01:05<27:57,  2.01it/s]
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train:   4%|▍         | 141/3515 [01:05<22:23,  2.51it/s]
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train:   4%|▍         | 142/3515 [01:06<22:33,  2.49it/s]
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train:   4%|▍         | 143/3515 [01:06<24:01,  2.34it/s]
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train:   4%|▍         | 144/3515 [01:06<21:17,  2.64it/s]
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train:   4%|▍         | 145/3515 [01:07<23:02,  2.44it/s]
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train:   4%|▍         | 146/3515 [01:07<23:17,  2.41it/s]
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train:   4%|▍         | 147/3515 [01:08<24:36,  2.28it/s]
overall:   4%|▎         | 148/4000 [01:11<28:31,  2.25it/s]

train:   4%|▍         | 148/3515 [01:08<24:56,  2.25it/s]
overall:   4%|▎         | 149/4000 [01:12<29:11,  2.20it/s]

train:   4%|▍         | 149/3515 [01:09<25:30,  2.20it/s]
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train:   4%|▍         | 150/3515 [01:09<25:26,  2.20it/s]
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train:   4%|▍         | 151/3515 [01:10<28:03,  2.00it/s]
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train:   4%|▍         | 152/3515 [01:10<27:55,  2.01it/s]
overall:   4%|▍         | 153/4000 [01:14<31:14,  2.05it/s]

train:   4%|▍         | 153/3515 [01:11<27:18,  2.05it/s]
overall:   4%|▍         | 154/4000 [01:14<30:47,  2.08it/s]

train:   4%|▍         | 154/3515 [01:11<26:54,  2.08it/s]
overall:   4%|▍         | 155/4000 [01:15<31:16,  2.05it/s]

train:   4%|▍         | 155/3515 [01:12<27:19,  2.05it/s]
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train:   4%|▍         | 156/3515 [01:12<27:49,  2.01it/s]
overall:   4%|▍         | 157/4000 [01:16<31:24,  2.04it/s]

train:   4%|▍         | 157/3515 [01:13<27:26,  2.04it/s]
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train:   4%|▍         | 158/3515 [01:13<27:03,  2.07it/s]
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train:   5%|▍         | 159/3515 [01:14<27:07,  2.06it/s]
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train:   5%|▍         | 160/3515 [01:14<22:38,  2.47it/s]
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train:   5%|▍         | 161/3515 [01:14<23:30,  2.38it/s]
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train:   5%|▍         | 162/3515 [01:15<25:45,  2.17it/s]
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train:   5%|▍         | 163/3515 [01:15<25:47,  2.17it/s]
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train:   5%|▍         | 164/3515 [01:16<26:13,  2.13it/s]
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train:   5%|▍         | 165/3515 [01:16<26:12,  2.13it/s]
overall:   4%|▍         | 166/4000 [01:20<29:49,  2.14it/s]

train:   5%|▍         | 166/3515 [01:17<26:02,  2.14it/s]
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train:   5%|▍         | 167/3515 [01:17<22:18,  2.50it/s]
overall:   4%|▍         | 168/4000 [01:21<27:38,  2.31it/s]

train:   5%|▍         | 168/3515 [01:17<24:08,  2.31it/s]
overall:   4%|▍         | 169/4000 [01:21<28:07,  2.27it/s]

train:   5%|▍         | 169/3515 [01:18<24:33,  2.27it/s]
overall:   4%|▍         | 170/4000 [01:22<28:26,  2.24it/s]

train:   5%|▍         | 170/3515 [01:18<24:50,  2.24it/s]
overall:   4%|▍         | 171/4000 [01:22<29:10,  2.19it/s]

train:   5%|▍         | 171/3515 [01:19<25:28,  2.19it/s]
overall:   4%|▍         | 172/4000 [01:23<29:51,  2.14it/s]

train:   5%|▍         | 172/3515 [01:19<26:04,  2.14it/s]
overall:   4%|▍         | 173/4000 [01:23<25:35,  2.49it/s]

train:   5%|▍         | 173/3515 [01:20<22:21,  2.49it/s]
overall:   4%|▍         | 174/4000 [01:23<27:22,  2.33it/s]

train:   5%|▍         | 174/3515 [01:20<23:54,  2.33it/s]
overall:   4%|▍         | 175/4000 [01:24<31:13,  2.04it/s]

train:   5%|▍         | 175/3515 [01:21<27:15,  2.04it/s]
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train:   5%|▌         | 176/3515 [01:21<27:17,  2.04it/s]
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train:   5%|▌         | 177/3515 [01:22<27:19,  2.04it/s]
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train:   5%|▌         | 178/3515 [01:22<27:31,  2.02it/s]
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train:   5%|▌         | 179/3515 [01:23<26:57,  2.06it/s]
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train:   5%|▌         | 180/3515 [01:23<27:51,  2.00it/s]
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train:   5%|▌         | 181/3515 [01:24<27:41,  2.01it/s]
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train:   5%|▌         | 182/3515 [01:24<27:45,  2.00it/s]
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train:   5%|▌         | 183/3515 [01:25<27:40,  2.01it/s]
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train:   5%|▌         | 184/3515 [01:25<26:09,  2.12it/s]
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train:   5%|▌         | 185/3515 [01:26<25:32,  2.17it/s]
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train:   5%|▌         | 186/3515 [01:26<27:06,  2.05it/s]
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train:   5%|▌         | 187/3515 [01:26<25:06,  2.21it/s]
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train:   5%|▌         | 188/3515 [01:27<23:41,  2.34it/s]
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train:   5%|▌         | 189/3515 [01:27<24:09,  2.29it/s]
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train:   5%|▌         | 190/3515 [01:28<23:19,  2.38it/s]
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train:   5%|▌         | 191/3515 [01:28<23:28,  2.36it/s]
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train:   5%|▌         | 192/3515 [01:28<19:43,  2.81it/s]
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train:   5%|▌         | 193/3515 [01:29<21:47,  2.54it/s]
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train:   6%|▌         | 194/3515 [01:29<23:27,  2.36it/s]
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train:   6%|▌         | 195/3515 [01:30<24:39,  2.24it/s]
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train:   6%|▌         | 196/3515 [01:30<25:01,  2.21it/s]
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train:   6%|▌         | 197/3515 [01:31<24:36,  2.25it/s]
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train:   6%|▌         | 198/3515 [01:31<24:09,  2.29it/s]
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train:   6%|▌         | 199/3515 [01:32<26:52,  2.06it/s]
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train:   6%|▌         | 200/3515 [01:32<26:40,  2.07it/s]
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train:   6%|▌         | 201/3515 [01:33<26:49,  2.06it/s]
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train:   6%|▌         | 202/3515 [01:33<27:22,  2.02it/s]
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train:   6%|▌         | 203/3515 [01:34<26:06,  2.11it/s]
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train:   6%|▌         | 204/3515 [01:34<26:49,  2.06it/s]
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train:   6%|▌         | 205/3515 [01:35<27:13,  2.03it/s]
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train:   6%|▌         | 206/3515 [01:35<21:39,  2.55it/s]
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train:   6%|▌         | 207/3515 [01:35<22:43,  2.43it/s]
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train:   6%|▌         | 208/3515 [01:36<23:40,  2.33it/s]
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train:   6%|▌         | 209/3515 [01:36<23:31,  2.34it/s]
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train:   6%|▌         | 210/3515 [01:37<24:59,  2.20it/s]
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train:   6%|▌         | 211/3515 [01:37<25:10,  2.19it/s]
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train:   6%|▌         | 212/3515 [01:38<24:43,  2.23it/s]
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train:   6%|▌         | 213/3515 [01:38<25:24,  2.17it/s]
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train:   6%|▌         | 214/3515 [01:38<24:51,  2.21it/s]
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train:   6%|▌         | 215/3515 [01:39<24:55,  2.21it/s]
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train:   6%|▌         | 216/3515 [01:39<25:05,  2.19it/s]
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train:   6%|▌         | 217/3515 [01:40<25:27,  2.16it/s]
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train:   6%|▌         | 218/3515 [01:40<23:51,  2.30it/s]
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train:   6%|▌         | 219/3515 [01:41<24:32,  2.24it/s]
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train:   6%|▋         | 220/3515 [01:41<24:19,  2.26it/s]
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train:   6%|▋         | 221/3515 [01:42<24:17,  2.26it/s]
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train:   6%|▋         | 222/3515 [01:42<25:20,  2.17it/s]
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train:   6%|▋         | 223/3515 [01:43<28:03,  1.96it/s]
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train:   6%|▋         | 224/3515 [01:43<26:44,  2.05it/s]
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train:   6%|▋         | 225/3515 [01:44<26:23,  2.08it/s]
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train:   6%|▋         | 226/3515 [01:44<26:15,  2.09it/s]
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train:   6%|▋         | 227/3515 [01:45<25:55,  2.11it/s]
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train:   6%|▋         | 228/3515 [01:45<20:19,  2.70it/s]
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overall:   6%|▌         | 239/4000 [01:53<29:52,  2.10it/s]

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overall:   6%|▌         | 245/4000 [01:56<29:24,  2.13it/s]

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overall:   6%|▌         | 246/4000 [01:56<28:59,  2.16it/s]

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overall:   6%|▋         | 257/4000 [02:01<29:35,  2.11it/s]

train:   7%|▋         | 257/3515 [01:58<25:45,  2.11it/s]
overall:   6%|▋         | 258/4000 [02:02<31:15,  2.00it/s]

train:   7%|▋         | 258/3515 [01:59<27:12,  2.00it/s]
overall:   6%|▋         | 259/4000 [02:03<31:20,  1.99it/s]

train:   7%|▋         | 259/3515 [01:59<27:16,  1.99it/s]
overall:   6%|▋         | 260/4000 [02:03<31:35,  1.97it/s]

train:   7%|▋         | 260/3515 [02:00<27:29,  1.97it/s]
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train:   7%|▋         | 261/3515 [02:00<26:50,  2.02it/s]
overall:   7%|▋         | 262/4000 [02:04<30:26,  2.05it/s]

train:   7%|▋         | 262/3515 [02:01<26:29,  2.05it/s]
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train:   7%|▋         | 263/3515 [02:01<26:17,  2.06it/s]
overall:   7%|▋         | 264/4000 [02:05<30:16,  2.06it/s]

train:   8%|▊         | 264/3515 [02:02<26:20,  2.06it/s]
overall:   7%|▋         | 265/4000 [02:05<29:17,  2.13it/s]

train:   8%|▊         | 265/3515 [02:02<25:29,  2.13it/s]
overall:   7%|▋         | 266/4000 [02:06<29:19,  2.12it/s]

train:   8%|▊         | 266/3515 [02:03<25:30,  2.12it/s]
overall:   7%|▋         | 267/4000 [02:06<29:03,  2.14it/s]

train:   8%|▊         | 267/3515 [02:03<25:16,  2.14it/s]
overall:   7%|▋         | 268/4000 [02:07<28:16,  2.20it/s]

train:   8%|▊         | 268/3515 [02:03<24:36,  2.20it/s]
overall:   7%|▋         | 269/4000 [02:07<27:08,  2.29it/s]

train:   8%|▊         | 269/3515 [02:04<23:37,  2.29it/s]
overall:   7%|▋         | 270/4000 [02:08<26:49,  2.32it/s]

train:   8%|▊         | 270/3515 [02:04<23:20,  2.32it/s]
overall:   7%|▋         | 271/4000 [02:08<30:36,  2.03it/s]

train:   8%|▊         | 271/3515 [02:05<26:37,  2.03it/s]
overall:   7%|▋         | 272/4000 [02:09<31:01,  2.00it/s]

train:   8%|▊         | 272/3515 [02:05<26:59,  2.00it/s]
overall:   7%|▋         | 273/4000 [02:09<30:26,  2.04it/s]

train:   8%|▊         | 273/3515 [02:06<26:28,  2.04it/s]
overall:   7%|▋         | 274/4000 [02:10<30:57,  2.01it/s]

train:   8%|▊         | 274/3515 [02:06<26:55,  2.01it/s]
overall:   7%|▋         | 275/4000 [02:10<30:50,  2.01it/s]

train:   8%|▊         | 275/3515 [02:07<26:49,  2.01it/s]
overall:   7%|▋         | 276/4000 [02:11<31:16,  1.98it/s]

train:   8%|▊         | 276/3515 [02:07<27:12,  1.98it/s]
overall:   7%|▋         | 277/4000 [02:11<29:59,  2.07it/s]

train:   8%|▊         | 277/3515 [02:08<26:05,  2.07it/s]
overall:   7%|▋         | 278/4000 [02:12<28:51,  2.15it/s]

train:   8%|▊         | 278/3515 [02:08<25:05,  2.15it/s]
overall:   7%|▋         | 279/4000 [02:12<29:06,  2.13it/s]

train:   8%|▊         | 279/3515 [02:09<25:19,  2.13it/s]
overall:   7%|▋         | 280/4000 [02:13<29:35,  2.10it/s]

train:   8%|▊         | 280/3515 [02:09<25:44,  2.10it/s]
overall:   7%|▋         | 281/4000 [02:13<29:54,  2.07it/s]

train:   8%|▊         | 281/3515 [02:10<26:00,  2.07it/s]
overall:   7%|▋         | 282/4000 [02:14<30:55,  2.00it/s]

train:   8%|▊         | 282/3515 [02:10<26:53,  2.00it/s]
overall:   7%|▋         | 283/4000 [02:14<27:29,  2.25it/s]

train:   8%|▊         | 283/3515 [02:11<23:54,  2.25it/s]
overall:   7%|▋         | 284/4000 [02:14<28:28,  2.18it/s]

train:   8%|▊         | 284/3515 [02:11<24:45,  2.18it/s]
overall:   7%|▋         | 285/4000 [02:15<28:51,  2.15it/s]

train:   8%|▊         | 285/3515 [02:12<25:05,  2.15it/s]
overall:   7%|▋         | 286/4000 [02:15<29:05,  2.13it/s]

train:   8%|▊         | 286/3515 [02:12<25:17,  2.13it/s]
overall:   7%|▋         | 287/4000 [02:16<27:46,  2.23it/s]

train:   8%|▊         | 287/3515 [02:12<24:08,  2.23it/s]
overall:   7%|▋         | 288/4000 [02:16<27:03,  2.29it/s]

train:   8%|▊         | 288/3515 [02:13<23:31,  2.29it/s]
overall:   7%|▋         | 289/4000 [02:17<27:49,  2.22it/s]

train:   8%|▊         | 289/3515 [02:13<24:11,  2.22it/s]
overall:   7%|▋         | 290/4000 [02:17<28:42,  2.15it/s]

train:   8%|▊         | 290/3515 [02:14<24:57,  2.15it/s]
overall:   7%|▋         | 291/4000 [02:18<28:53,  2.14it/s]

train:   8%|▊         | 291/3515 [02:14<25:07,  2.14it/s]
overall:   7%|▋         | 292/4000 [02:18<28:54,  2.14it/s]

train:   8%|▊         | 292/3515 [02:15<25:07,  2.14it/s]
overall:   7%|▋         | 293/4000 [02:19<28:15,  2.19it/s]

train:   8%|▊         | 293/3515 [02:15<24:33,  2.19it/s]
overall:   7%|▋         | 294/4000 [02:19<28:51,  2.14it/s]

train:   8%|▊         | 294/3515 [02:16<25:04,  2.14it/s]
overall:   7%|▋         | 295/4000 [02:20<31:45,  1.94it/s]

train:   8%|▊         | 295/3515 [02:16<27:36,  1.94it/s]
overall:   7%|▋         | 296/4000 [02:20<31:33,  1.96it/s]

train:   8%|▊         | 296/3515 [02:17<27:25,  1.96it/s]
overall:   7%|▋         | 297/4000 [02:21<31:06,  1.98it/s]

train:   8%|▊         | 297/3515 [02:17<27:02,  1.98it/s]
overall:   7%|▋         | 298/4000 [02:21<31:52,  1.94it/s]

train:   8%|▊         | 298/3515 [02:18<27:41,  1.94it/s]
overall:   7%|▋         | 299/4000 [02:22<29:10,  2.11it/s]

train:   9%|▊         | 299/3515 [02:18<25:20,  2.11it/s]
overall:   8%|▊         | 300/4000 [02:22<30:01,  2.05it/s]

train:   9%|▊         | 300/3515 [02:19<26:05,  2.05it/s]
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train:  10%|▉         | 336/3515 [02:35<25:04,  2.11it/s]
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overall:  12%|█▏        | 476/4000 [03:42<23:05,  2.54it/s]

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overall:  12%|█▏        | 477/4000 [03:43<25:11,  2.33it/s]

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overall:  12%|█▏        | 478/4000 [03:43<26:16,  2.23it/s]

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overall:  12%|█▏        | 479/4000 [03:44<27:03,  2.17it/s]

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overall:  12%|█▏        | 480/4000 [03:44<23:06,  2.54it/s]

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overall:  12%|█▏        | 481/4000 [03:44<24:30,  2.39it/s]

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overall:  12%|█▏        | 482/4000 [03:45<25:23,  2.31it/s]

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overall:  12%|█▏        | 483/4000 [03:45<25:30,  2.30it/s]

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overall:  12%|█▏        | 484/4000 [03:45<20:54,  2.80it/s]

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overall:  12%|█▏        | 485/4000 [03:46<23:08,  2.53it/s]

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overall:  12%|█▏        | 486/4000 [03:46<24:29,  2.39it/s]

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overall:  12%|█▏        | 487/4000 [03:47<27:57,  2.09it/s]

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overall:  12%|█▏        | 488/4000 [03:47<28:07,  2.08it/s]

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overall:  12%|█▏        | 489/4000 [03:48<28:08,  2.08it/s]

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overall:  12%|█▏        | 490/4000 [03:48<28:09,  2.08it/s]

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overall:  12%|█▏        | 491/4000 [03:49<24:20,  2.40it/s]

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overall:  12%|█▏        | 492/4000 [03:49<20:25,  2.86it/s]

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overall:  12%|█▏        | 493/4000 [03:49<22:34,  2.59it/s]

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overall:  12%|█▏        | 494/4000 [03:50<24:00,  2.43it/s]

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overall:  12%|█▏        | 495/4000 [03:50<25:02,  2.33it/s]

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overall:  12%|█▏        | 496/4000 [03:51<26:00,  2.25it/s]

train:  14%|█▍        | 496/3515 [03:47<22:24,  2.25it/s]
overall:  12%|█▏        | 497/4000 [03:51<24:28,  2.39it/s]

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overall:  12%|█▏        | 498/4000 [03:52<26:38,  2.19it/s]

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overall:  12%|█▏        | 499/4000 [03:52<22:28,  2.60it/s]

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overall:  12%|█▎        | 500/4000 [03:52<24:01,  2.43it/s]

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overall:  13%|█▎        | 501/4000 [03:53<25:06,  2.32it/s]

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overall:  13%|█▎        | 502/4000 [03:53<25:00,  2.33it/s]

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overall:  13%|█▎        | 503/4000 [03:54<25:00,  2.33it/s]

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overall:  13%|█▎        | 504/4000 [03:54<25:39,  2.27it/s]

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overall:  13%|█▎        | 505/4000 [03:55<26:09,  2.23it/s]

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overall:  13%|█▎        | 506/4000 [03:55<23:29,  2.48it/s]

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overall:  13%|█▎        | 507/4000 [03:55<23:59,  2.43it/s]

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overall:  13%|█▎        | 508/4000 [03:56<25:16,  2.30it/s]

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overall:  13%|█▎        | 509/4000 [03:56<26:23,  2.21it/s]

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overall:  13%|█▎        | 510/4000 [03:57<26:35,  2.19it/s]

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overall:  13%|█▎        | 511/4000 [03:57<30:02,  1.94it/s]

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overall:  13%|█▎        | 512/4000 [03:58<29:42,  1.96it/s]

train:  15%|█▍        | 512/3515 [03:55<25:34,  1.96it/s]
overall:  13%|█▎        | 513/4000 [03:58<28:18,  2.05it/s]

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overall:  13%|█▎        | 514/4000 [03:59<26:22,  2.20it/s]

train:  15%|█▍        | 514/3515 [03:55<22:41,  2.20it/s]
overall:  13%|█▎        | 515/4000 [03:59<21:29,  2.70it/s]

train:  15%|█▍        | 515/3515 [03:56<18:29,  2.70it/s]
overall:  13%|█▎        | 516/4000 [03:59<24:22,  2.38it/s]

train:  15%|█▍        | 516/3515 [03:56<20:59,  2.38it/s]
overall:  13%|█▎        | 517/4000 [04:00<25:59,  2.23it/s]

train:  15%|█▍        | 517/3515 [03:57<22:22,  2.23it/s]
overall:  13%|█▎        | 518/4000 [04:00<26:19,  2.21it/s]

train:  15%|█▍        | 518/3515 [03:57<22:39,  2.21it/s]
overall:  13%|█▎        | 519/4000 [04:01<27:05,  2.14it/s]

train:  15%|█▍        | 519/3515 [03:58<23:19,  2.14it/s]
overall:  13%|█▎        | 520/4000 [04:01<25:20,  2.29it/s]

train:  15%|█▍        | 520/3515 [03:58<21:48,  2.29it/s]
overall:  13%|█▎        | 521/4000 [04:01<20:36,  2.81it/s]

train:  15%|█▍        | 521/3515 [03:58<17:44,  2.81it/s]
overall:  13%|█▎        | 522/4000 [04:02<24:05,  2.41it/s]

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overall:  13%|█▎        | 523/4000 [04:03<25:31,  2.27it/s]

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overall:  13%|█▎        | 524/4000 [04:03<25:26,  2.28it/s]

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overall:  13%|█▎        | 525/4000 [04:03<25:21,  2.28it/s]

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overall:  13%|█▎        | 526/4000 [04:04<25:10,  2.30it/s]

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overall:  13%|█▎        | 527/4000 [04:04<26:10,  2.21it/s]

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overall:  13%|█▎        | 528/4000 [04:05<26:29,  2.18it/s]

train:  15%|█▌        | 528/3515 [04:02<22:47,  2.18it/s]
overall:  13%|█▎        | 529/4000 [04:05<26:58,  2.15it/s]

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overall:  13%|█▎        | 530/4000 [04:06<24:14,  2.39it/s]

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overall:  13%|█▎        | 531/4000 [04:06<25:27,  2.27it/s]

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overall:  13%|█▎        | 532/4000 [04:07<26:30,  2.18it/s]

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overall:  13%|█▎        | 533/4000 [04:07<26:01,  2.22it/s]

train:  15%|█▌        | 533/3515 [04:04<22:22,  2.22it/s]
overall:  13%|█▎        | 534/4000 [04:07<26:29,  2.18it/s]

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overall:  13%|█▎        | 535/4000 [04:08<29:45,  1.94it/s]

train:  15%|█▌        | 535/3515 [04:05<25:35,  1.94it/s]
overall:  13%|█▎        | 536/4000 [04:09<29:31,  1.96it/s]

train:  15%|█▌        | 536/3515 [04:05<25:23,  1.96it/s]
overall:  13%|█▎        | 537/4000 [04:09<28:56,  1.99it/s]

train:  15%|█▌        | 537/3515 [04:06<24:53,  1.99it/s]
overall:  13%|█▎        | 538/4000 [04:09<24:07,  2.39it/s]

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overall:  13%|█▎        | 539/4000 [04:09<18:39,  3.09it/s]

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overall:  14%|█▎        | 540/4000 [04:10<17:37,  3.27it/s]

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overall:  14%|█▎        | 541/4000 [04:10<14:05,  4.09it/s]

train:  15%|█▌        | 541/3515 [04:07<12:07,  4.09it/s]
overall:  14%|█▎        | 542/4000 [04:10<17:12,  3.35it/s]

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overall:  14%|█▎        | 543/4000 [04:11<18:30,  3.11it/s]

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overall:  14%|█▎        | 544/4000 [04:11<21:01,  2.74it/s]

train:  15%|█▌        | 544/3515 [04:08<18:04,  2.74it/s]
overall:  14%|█▎        | 545/4000 [04:12<23:23,  2.46it/s]

train:  16%|█▌        | 545/3515 [04:08<20:06,  2.46it/s]
overall:  14%|█▎        | 546/4000 [04:12<25:49,  2.23it/s]

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overall:  14%|█▎        | 547/4000 [04:13<26:26,  2.18it/s]

train:  16%|█▌        | 547/3515 [04:09<22:43,  2.18it/s]
overall:  14%|█▎        | 548/4000 [04:13<22:44,  2.53it/s]

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overall:  14%|█▎        | 549/4000 [04:13<24:15,  2.37it/s]

train:  16%|█▌        | 549/3515 [04:10<20:50,  2.37it/s]
overall:  14%|█▍        | 550/4000 [04:14<25:37,  2.24it/s]

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overall:  14%|█▍        | 551/4000 [04:14<26:09,  2.20it/s]

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overall:  14%|█▍        | 552/4000 [04:15<26:35,  2.16it/s]

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overall:  14%|█▍        | 553/4000 [04:15<25:10,  2.28it/s]

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overall:  14%|█▍        | 554/4000 [04:16<25:40,  2.24it/s]

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overall:  14%|█▍        | 555/4000 [04:16<26:07,  2.20it/s]

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overall:  14%|█▍        | 556/4000 [04:17<26:45,  2.15it/s]

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overall:  14%|█▍        | 557/4000 [04:17<27:21,  2.10it/s]

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overall:  14%|█▍        | 558/4000 [04:18<27:15,  2.10it/s]

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overall:  14%|█▍        | 559/4000 [04:18<27:01,  2.12it/s]

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overall:  14%|█▍        | 560/4000 [04:19<27:47,  2.06it/s]

train:  16%|█▌        | 560/3515 [04:15<23:52,  2.06it/s]
overall:  14%|█▍        | 561/4000 [04:19<28:16,  2.03it/s]

train:  16%|█▌        | 561/3515 [04:16<24:16,  2.03it/s]
overall:  14%|█▍        | 562/4000 [04:20<29:30,  1.94it/s]

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overall:  14%|█▍        | 563/4000 [04:20<29:25,  1.95it/s]

train:  16%|█▌        | 563/3515 [04:17<25:16,  1.95it/s]
overall:  14%|█▍        | 564/4000 [04:21<29:36,  1.93it/s]

train:  16%|█▌        | 564/3515 [04:17<25:25,  1.93it/s]
overall:  14%|█▍        | 565/4000 [04:21<28:48,  1.99it/s]

train:  16%|█▌        | 565/3515 [04:18<24:44,  1.99it/s]
overall:  14%|█▍        | 566/4000 [04:22<28:20,  2.02it/s]

train:  16%|█▌        | 566/3515 [04:18<24:19,  2.02it/s]
overall:  14%|█▍        | 567/4000 [04:22<27:51,  2.05it/s]

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overall:  14%|█▍        | 569/4000 [04:23<22:51,  2.50it/s]

train:  16%|█▌        | 569/3515 [04:19<19:37,  2.50it/s]
overall:  14%|█▍        | 570/4000 [04:23<24:18,  2.35it/s]

train:  16%|█▌        | 570/3515 [04:20<20:52,  2.35it/s]
overall:  14%|█▍        | 571/4000 [04:24<25:34,  2.24it/s]

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overall:  14%|█▍        | 572/4000 [04:24<26:32,  2.15it/s]

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train:  17%|█▋        | 580/3515 [04:24<21:59,  2.22it/s]
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overall:  15%|█▍        | 586/4000 [04:30<27:49,  2.05it/s]

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overall:  15%|█▍        | 587/4000 [04:31<22:21,  2.54it/s]

train:  17%|█▋        | 587/3515 [04:27<19:11,  2.54it/s]
overall:  15%|█▍        | 588/4000 [04:31<22:36,  2.52it/s]

train:  17%|█▋        | 588/3515 [04:28<19:23,  2.52it/s]
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train:  17%|█▋        | 589/3515 [04:28<20:23,  2.39it/s]
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overall:  16%|█▌        | 634/4000 [04:52<27:29,  2.04it/s]

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overall:  25%|██▍       | 999/4000 [07:40<24:30,  2.04it/s]

train:  28%|██▊       | 999/3515 [07:37<20:33,  2.04it/s]train loss: 7.651919364929199
train per: 0.9940874164255065
train loss: 6.102181434631348
train per: 0.9042609571254439
train loss: 5.415777683258057
train per: 0.8851600743436036
train loss: 4.589083194732666
train per: 0.8864050733254063
train loss: 4.867161750793457
train per: 0.8547439723366965
train loss: 4.412359237670898
train per: 0.8921631644004945
train loss: 4.064692974090576
train per: 0.8666456423309982
train loss: 4.273530006408691
train per: 0.8752169865908577
train loss: 4.1851911544799805
train per: 0.8678578995691786
train loss: 4.201064586639404
train per: 0.8954114129728324
train loss: 4.196141719818115
train per: 0.9150599907142682
train loss: 4.4504804611206055
train per: 0.8943024360962433
train loss: 4.252315521240234
train per: 0.888767872453827
train loss: 3.9805362224578857
train per: 0.8863446513684832
train loss: 3.9902873039245605
train per: 0.904684161244628
train loss: 4.090574741363525
train per: 0.9049173790593924
train loss: 4.138058662414551
train per: 0.8859131453284079
train loss: 4.408142566680908
train per: 0.9030507205689687
train loss: 4.4674811363220215
train per: 0.8770190794378331
train loss: 4.183971405029297
train per: 0.8958072974098851
train loss: 4.029812335968018
train per: 0.8633192583073251
train loss: 4.163874626159668
train per: 0.8836094564408041
train loss: 4.634067058563232
train per: 0.8945238527588264
train loss: 4.487436294555664
train per: 0.8716783663050415
train loss: 4.398297309875488
train per: 0.8840134153158189
train loss: 4.279331207275391
train per: 0.8961748633879781
train loss: 4.706662178039551
train per: 0.8715757592146894
train loss: 4.71340274810791
train per: 0.9011144570560832
train loss: 3.8924927711486816
train per: 0.8800822939436801
train loss: 3.8256382942199707
train per: 0.8591630440475567
train loss: 3.3537795543670654
train per: 0.8079950767968409
train loss: 2.5758750438690186
train per: 0.6813446619874399
train loss: 2.37839937210083
train per: 0.6458265221437014
train loss: 2.371931791305542
train per: 0.637210466312599
train loss: 2.170325756072998
train per: 0.6129537610457004
train loss: 2.171499490737915
train per: 0.6118929061124342
train loss: 2.1369357109069824
train per: 0.6114889859430562
train loss: 2.083970785140991
train per: 0.5990527282393311
train loss: 2.0437331199645996
train per: 0.5903658715776069
train loss: 2.0525918006896973
train per: 0.5972036670198554
train loss: 1.9931799173355103
train per: 0.5830312696341404
train loss: 2.0243585109710693
train per: 0.5867975672535933
train loss: 1.9846985340118408
train per: 0.5788765636063252
train loss: 1.9350608587265015
train per: 0.5710280128927439
train loss: 1.9694910049438477
train per: 0.5709920135589739
train loss: 1.9650719165802002
train per: 0.5686274509803921
train loss: 1.9311244487762451
train per: 0.5706191265892758
train loss: 1.950761079788208
train per: 0.5725164502057816
train loss: 1.907832384109497
train per: 0.5662123807819172
train loss: 1.9317739009857178
train per: 0.5675127361255128
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 472/2703 [00:00<00:00, 4712.67it/s]


word -> phonemes:  35%|███▍      | 944/2703 [00:00<00:00, 4436.98it/s]


word -> phonemes:  52%|█████▏    | 1399/2703 [00:00<00:00, 4355.91it/s]


word -> phonemes:  70%|██████▉   | 1880/2703 [00:00<00:00, 4527.97it/s]


word -> phonemes:  88%|████████▊ | 2382/2703 [00:00<00:00, 4700.64it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4606.72it/s]



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train:  55%|█████▌    | 1935/3515 [17:29<11:31,  2.28it/s]
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train:  55%|█████▌    | 1936/3515 [17:29<11:58,  2.20it/s]
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train:  55%|█████▌    | 1937/3515 [17:30<12:10,  2.16it/s]
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train:  55%|█████▌    | 1938/3515 [17:30<10:33,  2.49it/s]
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train:  55%|█████▌    | 1939/3515 [17:30<10:38,  2.47it/s]
overall:  48%|████▊     | 1940/4000 [17:34<11:48,  2.91it/s]

train:  55%|█████▌    | 1940/3515 [17:31<09:02,  2.91it/s]
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train:  55%|█████▌    | 1943/3515 [17:32<09:40,  2.71it/s]
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train:  55%|█████▌    | 1944/3515 [17:32<10:43,  2.44it/s]
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train:  55%|█████▌    | 1945/3515 [17:33<11:22,  2.30it/s]
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train:  55%|█████▌    | 1947/3515 [17:34<12:04,  2.16it/s]
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train:  56%|█████▌    | 1958/3515 [17:39<12:58,  2.00it/s]
overall:  49%|████▉     | 1959/4000 [17:43<15:31,  2.19it/s]

train:  56%|█████▌    | 1959/3515 [17:40<11:50,  2.19it/s]
overall:  49%|████▉     | 1960/4000 [17:43<13:23,  2.54it/s]

train:  56%|█████▌    | 1960/3515 [17:40<10:12,  2.54it/s]
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train:  56%|█████▌    | 1961/3515 [17:40<11:04,  2.34it/s]
overall:  49%|████▉     | 1962/4000 [17:44<15:20,  2.21it/s]

train:  56%|█████▌    | 1962/3515 [17:41<11:41,  2.21it/s]
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train:  56%|█████▌    | 1963/3515 [17:41<11:57,  2.16it/s]
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train:  56%|█████▌    | 1965/3515 [17:42<11:41,  2.21it/s]
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train:  56%|█████▌    | 1966/3515 [17:43<11:51,  2.18it/s]
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train:  56%|█████▌    | 1967/3515 [17:43<12:11,  2.12it/s]
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train:  56%|█████▌    | 1968/3515 [17:44<12:23,  2.08it/s]
overall:  49%|████▉     | 1969/4000 [17:48<16:32,  2.05it/s]

train:  56%|█████▌    | 1969/3515 [17:44<12:35,  2.05it/s]
overall:  49%|████▉     | 1970/4000 [17:48<16:36,  2.04it/s]

train:  56%|█████▌    | 1970/3515 [17:45<12:38,  2.04it/s]
overall:  49%|████▉     | 1971/4000 [17:49<16:26,  2.06it/s]

train:  56%|█████▌    | 1971/3515 [17:45<12:30,  2.06it/s]
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train:  56%|█████▌    | 1972/3515 [17:46<11:57,  2.15it/s]
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train:  56%|█████▌    | 1977/3515 [17:48<10:02,  2.55it/s]
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train:  56%|█████▋    | 1978/3515 [17:48<10:51,  2.36it/s]
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train:  57%|█████▋    | 1991/3515 [17:54<12:17,  2.07it/s]
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overall:  50%|████▉     | 1993/4000 [17:59<16:29,  2.03it/s]

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overall:  50%|████▉     | 1994/4000 [17:59<16:40,  2.01it/s]

train:  57%|█████▋    | 1994/3515 [17:56<12:38,  2.01it/s]
overall:  50%|████▉     | 1995/4000 [18:00<16:39,  2.01it/s]

train:  57%|█████▋    | 1995/3515 [17:56<12:37,  2.01it/s]
overall:  50%|████▉     | 1996/4000 [18:00<15:59,  2.09it/s]

train:  57%|█████▋    | 1996/3515 [17:57<12:07,  2.09it/s]
overall:  50%|████▉     | 1997/4000 [18:01<16:06,  2.07it/s]

train:  57%|█████▋    | 1997/3515 [17:57<12:12,  2.07it/s]
overall:  50%|████▉     | 1998/4000 [18:01<16:15,  2.05it/s]

train:  57%|█████▋    | 1998/3515 [17:58<12:19,  2.05it/s]
overall:  50%|████▉     | 1999/4000 [18:02<16:33,  2.01it/s]

train:  57%|█████▋    | 1999/3515 [17:58<12:33,  2.01it/s]dev loss: 2.250898599624634
dev per: 0.6328616024973985
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9137909412384033
train per: 0.5690127077223851
train loss: 1.9644145965576172
train per: 0.5709685058015629
train loss: 1.929540991783142
train per: 0.5677294023540167
train loss: 1.8682607412338257
train per: 0.5546471706967668
train loss: 1.8917386531829834
train per: 0.565279407366508
train loss: 1.9158636331558228
train per: 0.5622887864823348
train loss: 1.9175293445587158
train per: 0.563726104276802
train loss: 1.8927686214447021
train per: 0.5672843674194114
train loss: 1.8998069763183594
train per: 0.5645066273932253
train loss: 1.9620784521102905
train per: 0.5680831593026258
train loss: 1.8630530834197998
train per: 0.5581191857787603
train loss: 1.8650001287460327
train per: 0.5551679457789296
train loss: 1.844879150390625
train per: 0.5536559501332022
train loss: 1.8955873250961304
train per: 0.5546609093218187
train loss: 1.9145666360855103
train per: 0.5666100048567265
train loss: 1.8576589822769165
train per: 0.5557833239378875
train loss: 1.8903303146362305
train per: 0.5604955031393178
train loss: 1.857579231262207
train per: 0.5512967961506865
train loss: 1.850549340248108
train per: 0.5553171315933929
train loss: 1.8349956274032593
train per: 0.5529728528024109
train loss: 1.8472265005111694
train per: 0.5547122237373607
train loss: 1.8498172760009766
train per: 0.555971273603857
train loss: 1.830275297164917
train per: 0.5503155974752202
train loss: 1.8537517786026
train per: 0.5513032540588386
train loss: 1.827764868736267
train per: 0.5485624887794619
train loss: 1.8921804428100586
train per: 0.5569737819764357
train loss: 1.843785047531128
train per: 0.5523799232805662
train loss: 1.8624963760375977
train per: 0.5585261634015924
train loss: 1.9065786600112915
train per: 0.5622781021683636
train loss: 1.8720600605010986
train per: 0.5522849053513349
train loss: 1.8237802982330322
train per: 0.5481197736718242
train loss: 1.8220393657684326
train per: 0.5482928901396484
train loss: 1.8796991109848022
train per: 0.5533448673587081
train loss: 1.8812758922576904
train per: 0.5582752241354775
train loss: 1.8512630462646484
train per: 0.5540537219532575
train loss: 1.8483864068984985
train per: 0.5528941643809704
train loss: 1.8454067707061768
train per: 0.5503852152951741
train loss: 1.8256423473358154
train per: 0.5504154272233049
train loss: 1.825853943824768
train per: 0.5494917421887059
train loss: 1.8057594299316406
train per: 0.5404312038162941
train loss: 1.8125383853912354
train per: 0.542671701675714
train loss: 1.811427116394043
train per: 0.545849133099616
train loss: 1.791813850402832
train per: 0.5425696420967706
train loss: 1.8137766122817993
train per: 0.5460466710742182
train loss: 1.836997628211975
train per: 0.5511811023622047
train loss: 1.8266032934188843
train per: 0.5462009462844419
train loss: 1.8384405374526978
train per: 0.5509088676000983
train loss: 1.8187259435653687
train per: 0.5461403128238498
train loss: 1.838680624961853
train per: 0.5445573890053788
train loss: 1.7937275171279907
train per: 0.5408628812298537
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 564/2703 [00:00<00:00, 5630.80it/s]


word -> phonemes:  42%|████▏     | 1128/2703 [00:00<00:00, 5532.65it/s]


word -> phonemes:  62%|██████▏   | 1682/2703 [00:00<00:00, 4790.87it/s]


word -> phonemes:  81%|████████  | 2191/2703 [00:00<00:00, 4895.50it/s]


word -> phonemes:  99%|█████████▉| 2688/2703 [00:00<00:00, 4830.09it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4946.15it/s]



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


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dev:   2%|▏         | 62/2703 [00:06<03:15, 13.48it/s]


dev:   2%|▏         | 64/2703 [00:06<03:27, 12.75it/s]


dev:   2%|▏         | 66/2703 [00:06<03:25, 12.83it/s]


dev:   3%|▎         | 68/2703 [00:07<03:18, 13.30it/s]


dev:   3%|▎         | 70/2703 [00:07<03:16, 13.40it/s]


dev:   3%|▎         | 72/2703 [00:07<03:19, 13.22it/s]


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overall:  50%|████▉     | 1999/4000 [20:43<16:33,  2.01it/s]

train:  57%|█████▋    | 1999/3515 [20:40<12:33,  2.01it/s]
                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [20:43<16:33,  2.01it/s]

train:  57%|█████▋    | 1999/3515 [20:40<12:33,  2.01it/s]
overall:  50%|█████     | 2000/4000 [20:43<27:09:57, 48.90s/it]

train:  57%|█████▋    | 2000/3515 [20:40<20:34:41, 48.90s/it]
overall:  50%|█████     | 2001/4000 [20:44<19:05:46, 34.39s/it]

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overall:  50%|█████     | 2002/4000 [20:44<13:25:52, 24.20s/it]

train:  57%|█████▋    | 2002/3515 [20:41<10:10:14, 24.20s/it]
overall:  50%|█████     | 2003/4000 [20:45<9:33:27, 17.23s/it] 

train:  57%|█████▋    | 2003/3515 [20:42<7:14:11, 17.23s/it] 
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train:  57%|█████▋    | 2004/3515 [20:43<5:07:42, 12.22s/it]
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overall:  75%|███████▍  | 2991/4000 [28:17<07:39,  2.20it/s]

train:  85%|████████▌ | 2991/3515 [28:13<03:58,  2.20it/s]
overall:  75%|███████▍  | 2992/4000 [28:17<07:49,  2.15it/s]

train:  85%|████████▌ | 2992/3515 [28:14<04:03,  2.15it/s]
overall:  75%|███████▍  | 2993/4000 [28:18<07:15,  2.31it/s]

train:  85%|████████▌ | 2993/3515 [28:14<03:45,  2.31it/s]
overall:  75%|███████▍  | 2994/4000 [28:18<07:17,  2.30it/s]

train:  85%|████████▌ | 2994/3515 [28:15<03:46,  2.30it/s]
overall:  75%|███████▍  | 2995/4000 [28:18<07:36,  2.20it/s]

train:  85%|████████▌ | 2995/3515 [28:15<03:56,  2.20it/s]
overall:  75%|███████▍  | 2996/4000 [28:19<07:45,  2.16it/s]

train:  85%|████████▌ | 2996/3515 [28:16<04:00,  2.16it/s]
overall:  75%|███████▍  | 2997/4000 [28:19<06:39,  2.51it/s]

train:  85%|████████▌ | 2997/3515 [28:16<03:26,  2.51it/s]
overall:  75%|███████▍  | 2998/4000 [28:19<05:50,  2.86it/s]

train:  85%|████████▌ | 2998/3515 [28:16<03:01,  2.86it/s]
overall:  75%|███████▍  | 2999/4000 [28:20<06:29,  2.57it/s]

train:  85%|████████▌ | 2999/3515 [28:17<03:20,  2.57it/s]dev loss: 2.15946364402771
dev per: 0.5814360041623309
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.7950254678726196
train per: 0.5438193913265188
train loss: 1.8432323932647705
train per: 0.5483711381007742
train loss: 1.81288743019104
train per: 0.5451485820136189
train loss: 1.8447704315185547
train per: 0.5543861821333499
train loss: 1.8831037282943726
train per: 0.5514110367724735
train loss: 1.8211570978164673
train per: 0.5523643450610319
train loss: 1.8372265100479126
train per: 0.5519199122325836
train loss: 1.848009705543518
train per: 0.5531717354210579
train loss: 1.7883327007293701
train per: 0.5425031801338421
train loss: 1.8018344640731812
train per: 0.5422308505148306
train loss: 1.7928016185760498
train per: 0.5426399656556984
train loss: 1.8854868412017822
train per: 0.5589866232162098
train loss: 1.8229366540908813
train per: 0.5516502752378101
train loss: 1.81072199344635
train per: 0.5447360421521937
train loss: 1.847881555557251
train per: 0.5568215810513149
train loss: 1.8079410791397095
train per: 0.5460463386119673
train loss: 1.794614553451538
train per: 0.5389720168554919
train loss: 1.809709906578064
train per: 0.5443188014128915
train loss: 1.8037662506103516
train per: 0.5421414870811238
train loss: 1.762586236000061
train per: 0.542961707166115
train loss: 1.828052282333374
train per: 0.5427643716330898
train loss: 1.8318290710449219
train per: 0.5470973511849961
train loss: 1.8254607915878296
train per: 0.5432694465640289
train loss: 1.7961066961288452
train per: 0.5453600773320445
train loss: 1.8025583028793335
train per: 0.5450970178408647
train loss: 1.8000977039337158
train per: 0.5437797347909707
train loss: 1.826454520225525
train per: 0.54728611898017
train loss: 1.8289451599121094
train per: 0.545635180004706
train loss: 1.8082773685455322
train per: 0.5465913874650224
train loss: 1.8505398035049438
train per: 0.5507418091901917
train loss: 1.7966009378433228
train per: 0.5454463133588391
train loss: 1.8044464588165283
train per: 0.5453508133042001
train loss: 1.8123598098754883
train per: 0.5465420208632585
train loss: 1.7601039409637451
train per: 0.535600251071146
train loss: 1.7847445011138916
train per: 0.5410652443186127
train loss: 1.8104922771453857
train per: 0.5432783199632109
train loss: 1.8325674533843994
train per: 0.5467758393270451
train loss: 1.7779273986816406
train per: 0.5402707113372373
train loss: 1.7948395013809204
train per: 0.5439287684185643
train loss: 1.7941758632659912
train per: 0.5465289904588363
train loss: 1.7570937871932983
train per: 0.5335096585273698
train loss: 1.7956485748291016
train per: 0.5473327166204132
train loss: 1.7851070165634155
train per: 0.541114564589127
train loss: 1.8067224025726318
train per: 0.5458055993089782
train loss: 1.8096201419830322
train per: 0.546162574788529
train loss: 1.8013737201690674
train per: 0.5445871097683787
train loss: 1.7599680423736572
train per: 0.5359051477716189
train loss: 1.7878520488739014
train per: 0.5430047540506452
train loss: 1.8010127544403076
train per: 0.5406609266908874
train loss: 1.810202956199646
train per: 0.5464994240368617
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 416/2703 [00:00<00:00, 4157.34it/s]


word -> phonemes:  33%|███▎      | 890/2703 [00:00<00:00, 4499.39it/s]


word -> phonemes:  53%|█████▎    | 1422/2703 [00:00<00:00, 4873.07it/s]


word -> phonemes:  71%|███████   | 1910/2703 [00:00<00:00, 4605.25it/s]


word -> phonemes:  88%|████████▊ | 2373/2703 [00:00<00:00, 4241.71it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4405.38it/s]



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


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dev:   3%|▎         | 68/2703 [00:07<03:18, 13.26it/s]


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overall:  88%|████████▊ | 3512/4000 [34:52<03:43,  2.18it/s]

train: 100%|█████████▉| 3512/3515 [34:49<00:01,  2.18it/s]
overall:  88%|████████▊ | 3513/4000 [34:53<03:50,  2.11it/s]

train: 100%|█████████▉| 3513/3515 [34:50<00:00,  2.11it/s]
overall:  88%|████████▊ | 3514/4000 [34:53<03:52,  2.09it/s]

train: 100%|█████████▉| 3514/3515 [34:50<00:00,  2.09it/s]
overall:  88%|████████▊ | 3515/4000 [34:54<03:55,  2.06it/s]

train: 100%|██████████| 3515/3515 [34:51<00:00,  2.06it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [34:51<00:00,  1.68it/s]
dev loss: 2.17828106880188
dev per: 0.6042924037460978
train loss: 1.8315932750701904
train per: 0.5536401714161199
train loss: 1.820257544517517
train per: 0.5492050612369095
train loss: 1.7335379123687744
train per: 0.5291180045447339
train loss: 1.8408167362213135
train per: 0.549344478443665
train loss: 1.8094326257705688
train per: 0.5494853523357086
train loss: 1.796905517578125
train per: 0.542843315184513
train loss: 1.7792781591415405
train per: 0.5408438517915309
train loss: 1.790356993675232
train per: 0.5412223866129279
train loss: 1.7779340744018555
train per: 0.542195154243347
train loss: 1.799308180809021
train per: 0.5433024265141053
train loss: 1.786245346069336
train per: 0.5388865390715872
train loss: 1.779929757118225
train per: 0.5392144496859312
train loss: 1.8075315952301025
train per: 0.5424035747883349
train loss: 1.7751833200454712
train per: 0.5382308447676425
train loss: 1.8008639812469482
train per: 0.5412439123376623
train loss: 1.7965221405029297
train per: 0.5426126393650622
train loss: 1.7780195474624634
train per: 0.539394878149525
train loss: 1.8360122442245483
train per: 0.5485618620224615
train loss: 1.780644178390503
train per: 0.5448087431693989
train loss: 1.769666314125061
train per: 0.534785420612556
train loss: 1.7656145095825195
train per: 0.5363407938206691
train loss: 1.7956931591033936
train per: 0.542152830910482
train loss: 1.7743384838104248
train per: 0.5359166646572303
train loss: 1.7732425928115845
train per: 0.5389828699503709
train loss: 1.8593246936798096
train per: 0.5554806565064478
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█▏        | 402/3515 [00:00<00:00, 4013.38it/s]

word -> phonemes:  23%|██▎       | 808/3515 [00:00<00:00, 4040.41it/s]

word -> phonemes:  36%|███▌      | 1254/3515 [00:00<00:00, 4228.73it/s]

word -> phonemes:  49%|████▉     | 1723/3515 [00:00<00:00, 4408.22it/s]

word -> phonemes:  62%|██████▏   | 2164/3515 [00:00<00:00, 4394.76it/s]

word -> phonemes:  74%|███████▍  | 2606/3515 [00:00<00:00, 4400.94it/s]

word -> phonemes:  87%|████████▋ | 3047/3515 [00:00<00:00, 4172.10it/s]

word -> phonemes:  99%|█████████▉| 3497/3515 [00:00<00:00, 4269.72it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4272.07it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [34:58<12:17,  1.52s/it]

train:   0%|          | 1/3515 [00:01<1:49:33,  1.87s/it]
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train:   0%|          | 2/3515 [00:02<51:22,  1.14it/s]  
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overall:  88%|████████▊ | 3528/4000 [35:02<03:12,  2.45it/s]

train:   0%|          | 13/3515 [00:06<23:14,  2.51it/s]
overall:  88%|████████▊ | 3529/4000 [35:03<03:28,  2.26it/s]

train:   0%|          | 14/3515 [00:06<25:26,  2.29it/s]
overall:  88%|████████▊ | 3530/4000 [35:03<03:22,  2.32it/s]

train:   0%|          | 15/3515 [00:07<24:55,  2.34it/s]
overall:  88%|████████▊ | 3531/4000 [35:04<03:24,  2.30it/s]

train:   0%|          | 16/3515 [00:07<25:12,  2.31it/s]
overall:  88%|████████▊ | 3532/4000 [35:04<03:31,  2.21it/s]

train:   0%|          | 17/3515 [00:08<26:15,  2.22it/s]
overall:  88%|████████▊ | 3533/4000 [35:05<03:22,  2.31it/s]

train:   1%|          | 18/3515 [00:08<25:08,  2.32it/s]
overall:  88%|████████▊ | 3534/4000 [35:05<03:30,  2.22it/s]

train:   1%|          | 19/3515 [00:09<26:13,  2.22it/s]
overall:  88%|████████▊ | 3535/4000 [35:06<03:39,  2.12it/s]

train:   1%|          | 20/3515 [00:09<27:29,  2.12it/s]
overall:  88%|████████▊ | 3536/4000 [35:06<03:39,  2.11it/s]

train:   1%|          | 21/3515 [00:10<27:33,  2.11it/s]
overall:  88%|████████▊ | 3537/4000 [35:06<02:57,  2.61it/s]

train:   1%|          | 22/3515 [00:10<22:18,  2.61it/s]
overall:  88%|████████▊ | 3538/4000 [35:07<03:10,  2.43it/s]

train:   1%|          | 23/3515 [00:10<23:57,  2.43it/s]
overall:  88%|████████▊ | 3539/4000 [35:07<03:23,  2.26it/s]

train:   1%|          | 24/3515 [00:11<25:40,  2.27it/s]
overall:  88%|████████▊ | 3540/4000 [35:08<03:42,  2.07it/s]

train:   1%|          | 25/3515 [00:11<28:09,  2.07it/s]
overall:  89%|████████▊ | 3541/4000 [35:08<03:46,  2.03it/s]

train:   1%|          | 26/3515 [00:12<28:40,  2.03it/s]
overall:  89%|████████▊ | 3542/4000 [35:09<03:42,  2.06it/s]

train:   1%|          | 27/3515 [00:12<28:17,  2.06it/s]
overall:  89%|████████▊ | 3543/4000 [35:09<03:00,  2.53it/s]

train:   1%|          | 28/3515 [00:13<22:55,  2.53it/s]
overall:  89%|████████▊ | 3544/4000 [35:09<03:12,  2.37it/s]

train:   1%|          | 29/3515 [00:13<24:29,  2.37it/s]
overall:  89%|████████▊ | 3545/4000 [35:10<02:38,  2.88it/s]

train:   1%|          | 30/3515 [00:13<20:11,  2.88it/s]
overall:  89%|████████▊ | 3546/4000 [35:10<02:59,  2.53it/s]

train:   1%|          | 31/3515 [00:14<22:54,  2.54it/s]
overall:  89%|████████▊ | 3547/4000 [35:11<03:19,  2.28it/s]

train:   1%|          | 32/3515 [00:14<25:30,  2.28it/s]
overall:  89%|████████▊ | 3548/4000 [35:11<03:25,  2.20it/s]

train:   1%|          | 33/3515 [00:15<26:23,  2.20it/s]
overall:  89%|████████▊ | 3549/4000 [35:12<03:28,  2.16it/s]

train:   1%|          | 34/3515 [00:15<26:49,  2.16it/s]
overall:  89%|████████▉ | 3550/4000 [35:12<03:22,  2.22it/s]

train:   1%|          | 35/3515 [00:16<26:09,  2.22it/s]
overall:  89%|████████▉ | 3551/4000 [35:13<03:32,  2.11it/s]

train:   1%|          | 36/3515 [00:16<27:27,  2.11it/s]
overall:  89%|████████▉ | 3552/4000 [35:13<03:44,  2.00it/s]

train:   1%|          | 37/3515 [00:17<29:00,  2.00it/s]
overall:  89%|████████▉ | 3553/4000 [35:14<03:45,  1.99it/s]

train:   1%|          | 38/3515 [00:17<29:10,  1.99it/s]
overall:  89%|████████▉ | 3554/4000 [35:14<03:43,  1.99it/s]

train:   1%|          | 39/3515 [00:18<29:05,  1.99it/s]
overall:  89%|████████▉ | 3555/4000 [35:14<03:01,  2.46it/s]

train:   1%|          | 40/3515 [00:18<23:33,  2.46it/s]
overall:  89%|████████▉ | 3556/4000 [35:15<03:08,  2.35it/s]

train:   1%|          | 41/3515 [00:18<24:36,  2.35it/s]
overall:  89%|████████▉ | 3557/4000 [35:15<03:15,  2.26it/s]

train:   1%|          | 42/3515 [00:19<25:33,  2.26it/s]
overall:  89%|████████▉ | 3558/4000 [35:16<03:21,  2.19it/s]

train:   1%|          | 43/3515 [00:19<26:24,  2.19it/s]
overall:  89%|████████▉ | 3559/4000 [35:16<02:58,  2.47it/s]

train:   1%|▏         | 44/3515 [00:20<23:25,  2.47it/s]
overall:  89%|████████▉ | 3560/4000 [35:17<03:10,  2.32it/s]

train:   1%|▏         | 45/3515 [00:20<24:58,  2.31it/s]
overall:  89%|████████▉ | 3561/4000 [35:17<03:20,  2.19it/s]

train:   1%|▏         | 46/3515 [00:21<26:24,  2.19it/s]
overall:  89%|████████▉ | 3562/4000 [35:18<03:27,  2.11it/s]

train:   1%|▏         | 47/3515 [00:21<27:22,  2.11it/s]
overall:  89%|████████▉ | 3563/4000 [35:18<03:05,  2.36it/s]

train:   1%|▏         | 48/3515 [00:21<24:30,  2.36it/s]
overall:  89%|████████▉ | 3564/4000 [35:19<03:32,  2.05it/s]

train:   1%|▏         | 49/3515 [00:22<28:09,  2.05it/s]
overall:  89%|████████▉ | 3565/4000 [35:19<02:59,  2.43it/s]

train:   1%|▏         | 50/3515 [00:22<23:48,  2.43it/s]
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overall:  89%|████████▉ | 3567/4000 [35:20<03:09,  2.29it/s]

train:   1%|▏         | 52/3515 [00:23<25:14,  2.29it/s]
overall:  89%|████████▉ | 3568/4000 [35:20<02:34,  2.79it/s]

train:   2%|▏         | 53/3515 [00:23<20:41,  2.79it/s]
overall:  89%|████████▉ | 3569/4000 [35:20<02:49,  2.54it/s]

train:   2%|▏         | 54/3515 [00:24<22:43,  2.54it/s]
overall:  89%|████████▉ | 3570/4000 [35:21<02:59,  2.39it/s]

train:   2%|▏         | 55/3515 [00:24<24:05,  2.39it/s]
overall:  89%|████████▉ | 3571/4000 [35:21<03:12,  2.22it/s]

train:   2%|▏         | 56/3515 [00:25<25:55,  2.22it/s]
overall:  89%|████████▉ | 3572/4000 [35:22<03:19,  2.14it/s]

train:   2%|▏         | 57/3515 [00:25<26:53,  2.14it/s]
overall:  89%|████████▉ | 3573/4000 [35:22<03:20,  2.13it/s]

train:   2%|▏         | 58/3515 [00:26<27:00,  2.13it/s]
overall:  89%|████████▉ | 3574/4000 [35:23<03:23,  2.10it/s]

train:   2%|▏         | 59/3515 [00:26<27:27,  2.10it/s]
overall:  89%|████████▉ | 3575/4000 [35:23<03:25,  2.07it/s]

train:   2%|▏         | 60/3515 [00:27<27:46,  2.07it/s]
overall:  89%|████████▉ | 3576/4000 [35:24<03:44,  1.89it/s]

train:   2%|▏         | 61/3515 [00:28<30:28,  1.89it/s]
overall:  89%|████████▉ | 3577/4000 [35:24<03:32,  1.99it/s]

train:   2%|▏         | 62/3515 [00:28<28:57,  1.99it/s]
overall:  89%|████████▉ | 3578/4000 [35:25<03:30,  2.00it/s]

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overall:  89%|████████▉ | 3579/4000 [35:25<03:30,  2.00it/s]

train:   2%|▏         | 64/3515 [00:29<28:47,  2.00it/s]
overall:  90%|████████▉ | 3580/4000 [35:26<03:31,  1.99it/s]

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overall:  90%|████████▉ | 3583/4000 [35:27<03:28,  2.00it/s]

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overall:  90%|████████▉ | 3584/4000 [35:28<02:53,  2.40it/s]

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overall:  90%|████████▉ | 3586/4000 [35:28<02:28,  2.78it/s]

train:   2%|▏         | 71/3515 [00:32<20:37,  2.78it/s]
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overall:  90%|████████▉ | 3588/4000 [35:29<03:06,  2.21it/s]

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overall:  90%|████████▉ | 3589/4000 [35:30<03:12,  2.14it/s]

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overall:  90%|████████▉ | 3591/4000 [35:31<03:07,  2.18it/s]

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overall:  90%|████████▉ | 3593/4000 [35:32<03:07,  2.17it/s]

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overall:  90%|████████▉ | 3595/4000 [35:33<02:58,  2.26it/s]

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overall:  90%|████████▉ | 3596/4000 [35:33<02:56,  2.29it/s]

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overall:  90%|█████████ | 3610/4000 [35:39<02:47,  2.33it/s]

train:   3%|▎         | 95/3515 [00:43<24:28,  2.33it/s]
overall:  90%|█████████ | 3611/4000 [35:40<02:55,  2.21it/s]

train:   3%|▎         | 96/3515 [00:43<25:43,  2.21it/s]
overall:  90%|█████████ | 3612/4000 [35:40<03:10,  2.04it/s]

train:   3%|▎         | 97/3515 [00:44<27:57,  2.04it/s]
overall:  90%|█████████ | 3613/4000 [35:41<03:04,  2.09it/s]

train:   3%|▎         | 98/3515 [00:44<27:11,  2.09it/s]
overall:  90%|█████████ | 3614/4000 [35:41<03:03,  2.11it/s]

train:   3%|▎         | 99/3515 [00:45<26:59,  2.11it/s]
overall:  90%|█████████ | 3615/4000 [35:42<03:05,  2.08it/s]

train:   3%|▎         | 100/3515 [00:45<27:21,  2.08it/s]
overall:  90%|█████████ | 3616/4000 [35:42<03:07,  2.05it/s]

train:   3%|▎         | 101/3515 [00:46<27:45,  2.05it/s]
overall:  90%|█████████ | 3617/4000 [35:43<03:05,  2.06it/s]

train:   3%|▎         | 102/3515 [00:46<27:36,  2.06it/s]
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train:   3%|▎         | 103/3515 [00:47<28:06,  2.02it/s]
overall:  90%|█████████ | 3619/4000 [35:44<03:11,  1.98it/s]

train:   3%|▎         | 104/3515 [00:47<28:38,  1.98it/s]
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train:   3%|▎         | 105/3515 [00:48<28:39,  1.98it/s]
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overall:  91%|█████████ | 3622/4000 [35:45<03:06,  2.02it/s]

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train:   3%|▎         | 108/3515 [00:49<28:08,  2.02it/s]
overall:  91%|█████████ | 3624/4000 [35:46<03:21,  1.86it/s]

train:   3%|▎         | 109/3515 [00:50<30:27,  1.86it/s]
overall:  91%|█████████ | 3625/4000 [35:47<03:16,  1.91it/s]

train:   3%|▎         | 110/3515 [00:50<29:47,  1.91it/s]
overall:  91%|█████████ | 3626/4000 [35:47<03:04,  2.02it/s]

train:   3%|▎         | 111/3515 [00:51<28:01,  2.02it/s]
overall:  91%|█████████ | 3627/4000 [35:48<03:06,  2.00it/s]

train:   3%|▎         | 112/3515 [00:51<28:19,  2.00it/s]
overall:  91%|█████████ | 3628/4000 [35:48<02:30,  2.48it/s]

train:   3%|▎         | 113/3515 [00:51<22:54,  2.48it/s]
overall:  91%|█████████ | 3629/4000 [35:48<02:38,  2.34it/s]

train:   3%|▎         | 114/3515 [00:52<24:13,  2.34it/s]
overall:  91%|█████████ | 3630/4000 [35:49<02:43,  2.26it/s]

train:   3%|▎         | 115/3515 [00:52<25:06,  2.26it/s]
overall:  91%|█████████ | 3631/4000 [35:49<02:43,  2.25it/s]

train:   3%|▎         | 116/3515 [00:53<25:09,  2.25it/s]
overall:  91%|█████████ | 3632/4000 [35:50<02:47,  2.20it/s]

train:   3%|▎         | 117/3515 [00:53<25:47,  2.20it/s]
overall:  91%|█████████ | 3633/4000 [35:50<02:52,  2.13it/s]

train:   3%|▎         | 118/3515 [00:54<26:38,  2.13it/s]
overall:  91%|█████████ | 3634/4000 [35:51<02:54,  2.09it/s]

train:   3%|▎         | 119/3515 [00:54<27:02,  2.09it/s]
overall:  91%|█████████ | 3635/4000 [35:51<02:55,  2.07it/s]

train:   3%|▎         | 120/3515 [00:55<27:16,  2.07it/s]
overall:  91%|█████████ | 3636/4000 [35:52<03:12,  1.89it/s]

train:   3%|▎         | 121/3515 [00:55<29:55,  1.89it/s]
overall:  91%|█████████ | 3637/4000 [35:52<03:10,  1.90it/s]

train:   3%|▎         | 122/3515 [00:56<29:43,  1.90it/s]
overall:  91%|█████████ | 3638/4000 [35:53<03:04,  1.97it/s]

train:   3%|▎         | 123/3515 [00:56<28:45,  1.97it/s]
overall:  91%|█████████ | 3639/4000 [35:53<03:03,  1.97it/s]

train:   4%|▎         | 124/3515 [00:57<28:43,  1.97it/s]
overall:  91%|█████████ | 3640/4000 [35:54<03:01,  1.98it/s]

train:   4%|▎         | 125/3515 [00:57<28:33,  1.98it/s]
overall:  91%|█████████ | 3641/4000 [35:54<03:00,  1.99it/s]

train:   4%|▎         | 126/3515 [00:58<28:23,  1.99it/s]
overall:  91%|█████████ | 3642/4000 [35:55<02:59,  1.99it/s]

train:   4%|▎         | 127/3515 [00:58<28:18,  1.99it/s]
overall:  91%|█████████ | 3643/4000 [35:55<03:01,  1.97it/s]

train:   4%|▎         | 128/3515 [00:59<28:37,  1.97it/s]
overall:  91%|█████████ | 3644/4000 [35:56<02:57,  2.01it/s]

train:   4%|▎         | 129/3515 [00:59<28:08,  2.01it/s]
overall:  91%|█████████ | 3645/4000 [35:56<02:56,  2.01it/s]

train:   4%|▎         | 130/3515 [01:00<28:01,  2.01it/s]
overall:  91%|█████████ | 3646/4000 [35:57<02:56,  2.00it/s]

train:   4%|▎         | 131/3515 [01:00<28:10,  2.00it/s]
overall:  91%|█████████ | 3647/4000 [35:57<02:36,  2.26it/s]

train:   4%|▍         | 132/3515 [01:01<24:57,  2.26it/s]
overall:  91%|█████████ | 3648/4000 [35:58<02:31,  2.32it/s]

train:   4%|▍         | 133/3515 [01:01<24:17,  2.32it/s]
overall:  91%|█████████ | 3649/4000 [35:58<02:37,  2.23it/s]

train:   4%|▍         | 134/3515 [01:02<25:15,  2.23it/s]
overall:  91%|█████████▏| 3650/4000 [35:58<02:27,  2.37it/s]

train:   4%|▍         | 135/3515 [01:02<23:43,  2.37it/s]
overall:  91%|█████████▏| 3651/4000 [35:59<02:11,  2.65it/s]

train:   4%|▍         | 136/3515 [01:02<21:15,  2.65it/s]
overall:  91%|█████████▏| 3652/4000 [35:59<02:21,  2.46it/s]

train:   4%|▍         | 137/3515 [01:03<22:55,  2.46it/s]
overall:  91%|█████████▏| 3653/4000 [36:00<02:31,  2.28it/s]

train:   4%|▍         | 138/3515 [01:03<24:39,  2.28it/s]
overall:  91%|█████████▏| 3654/4000 [36:00<01:56,  2.97it/s]
overall:  91%|█████████▏| 3655/4000 [36:00<02:15,  2.55it/s]

train:   4%|▍         | 140/3515 [01:04<21:20,  2.64it/s]
overall:  91%|█████████▏| 3656/4000 [36:01<02:27,  2.33it/s]

train:   4%|▍         | 141/3515 [01:04<23:14,  2.42it/s]
overall:  91%|█████████▏| 3657/4000 [36:01<02:36,  2.20it/s]

train:   4%|▍         | 142/3515 [01:05<24:45,  2.27it/s]
overall:  91%|█████████▏| 3658/4000 [36:02<02:37,  2.17it/s]

train:   4%|▍         | 143/3515 [01:05<25:15,  2.22it/s]
overall:  91%|█████████▏| 3659/4000 [36:02<02:38,  2.15it/s]

train:   4%|▍         | 144/3515 [01:06<25:41,  2.19it/s]
overall:  92%|█████████▏| 3660/4000 [36:03<02:49,  2.00it/s]

train:   4%|▍         | 145/3515 [01:06<27:35,  2.04it/s]
overall:  92%|█████████▏| 3661/4000 [36:03<02:45,  2.05it/s]

train:   4%|▍         | 146/3515 [01:07<27:09,  2.07it/s]
overall:  92%|█████████▏| 3662/4000 [36:04<02:45,  2.05it/s]

train:   4%|▍         | 147/3515 [01:07<27:12,  2.06it/s]
overall:  92%|█████████▏| 3663/4000 [36:04<02:08,  2.63it/s]

train:   4%|▍         | 148/3515 [01:08<21:19,  2.63it/s]
overall:  92%|█████████▏| 3664/4000 [36:04<02:20,  2.39it/s]

train:   4%|▍         | 149/3515 [01:08<23:27,  2.39it/s]
overall:  92%|█████████▏| 3665/4000 [36:05<02:28,  2.26it/s]

train:   4%|▍         | 150/3515 [01:09<24:45,  2.26it/s]
overall:  92%|█████████▏| 3666/4000 [36:05<02:32,  2.19it/s]

train:   4%|▍         | 151/3515 [01:09<25:31,  2.20it/s]
overall:  92%|█████████▏| 3667/4000 [36:06<02:04,  2.68it/s]

train:   4%|▍         | 152/3515 [01:09<20:53,  2.68it/s]
overall:  92%|█████████▏| 3669/4000 [36:06<01:50,  3.00it/s]

train:   4%|▍         | 154/3515 [01:10<18:40,  3.00it/s]
overall:  92%|█████████▏| 3670/4000 [36:07<02:04,  2.66it/s]

train:   4%|▍         | 155/3515 [01:10<21:05,  2.66it/s]
overall:  92%|█████████▏| 3671/4000 [36:07<02:14,  2.45it/s]

train:   4%|▍         | 156/3515 [01:11<22:51,  2.45it/s]
overall:  92%|█████████▏| 3672/4000 [36:08<02:31,  2.17it/s]

train:   4%|▍         | 157/3515 [01:11<25:45,  2.17it/s]
overall:  92%|█████████▏| 3673/4000 [36:08<01:59,  2.73it/s]

train:   4%|▍         | 158/3515 [01:12<20:30,  2.73it/s]
overall:  92%|█████████▏| 3674/4000 [36:08<02:10,  2.50it/s]

train:   5%|▍         | 159/3515 [01:12<22:24,  2.50it/s]
overall:  92%|█████████▏| 3675/4000 [36:09<02:19,  2.33it/s]

train:   5%|▍         | 160/3515 [01:12<23:59,  2.33it/s]
overall:  92%|█████████▏| 3676/4000 [36:09<02:24,  2.24it/s]

train:   5%|▍         | 161/3515 [01:13<24:57,  2.24it/s]
overall:  92%|█████████▏| 3677/4000 [36:10<02:23,  2.25it/s]

train:   5%|▍         | 162/3515 [01:13<24:52,  2.25it/s]
overall:  92%|█████████▏| 3678/4000 [36:10<02:27,  2.18it/s]

train:   5%|▍         | 163/3515 [01:14<25:38,  2.18it/s]
overall:  92%|█████████▏| 3679/4000 [36:11<02:32,  2.10it/s]

train:   5%|▍         | 164/3515 [01:14<26:35,  2.10it/s]
overall:  92%|█████████▏| 3680/4000 [36:11<02:33,  2.08it/s]

train:   5%|▍         | 165/3515 [01:15<26:48,  2.08it/s]
overall:  92%|█████████▏| 3681/4000 [36:12<02:36,  2.03it/s]

train:   5%|▍         | 166/3515 [01:15<27:27,  2.03it/s]
overall:  92%|█████████▏| 3682/4000 [36:12<02:07,  2.50it/s]

train:   5%|▍         | 167/3515 [01:16<22:18,  2.50it/s]
overall:  92%|█████████▏| 3683/4000 [36:13<02:15,  2.35it/s]

train:   5%|▍         | 168/3515 [01:16<23:45,  2.35it/s]
overall:  92%|█████████▏| 3684/4000 [36:13<02:30,  2.10it/s]

train:   5%|▍         | 169/3515 [01:17<26:36,  2.10it/s]
overall:  92%|█████████▏| 3685/4000 [36:14<02:27,  2.14it/s]

train:   5%|▍         | 170/3515 [01:17<26:01,  2.14it/s]
overall:  92%|█████████▏| 3686/4000 [36:14<02:36,  2.01it/s]

train:   5%|▍         | 171/3515 [01:18<27:46,  2.01it/s]
overall:  92%|█████████▏| 3687/4000 [36:15<02:23,  2.18it/s]

train:   5%|▍         | 172/3515 [01:18<25:33,  2.18it/s]
overall:  92%|█████████▏| 3688/4000 [36:15<02:19,  2.24it/s]

train:   5%|▍         | 173/3515 [01:19<24:52,  2.24it/s]
overall:  92%|█████████▏| 3689/4000 [36:15<02:23,  2.17it/s]

train:   5%|▍         | 174/3515 [01:19<25:36,  2.17it/s]
overall:  92%|█████████▏| 3690/4000 [36:16<02:26,  2.11it/s]

train:   5%|▍         | 175/3515 [01:20<26:21,  2.11it/s]
overall:  92%|█████████▏| 3691/4000 [36:16<02:29,  2.07it/s]

train:   5%|▌         | 176/3515 [01:20<26:55,  2.07it/s]
overall:  92%|█████████▏| 3692/4000 [36:17<02:30,  2.05it/s]

train:   5%|▌         | 177/3515 [01:21<27:09,  2.05it/s]
overall:  92%|█████████▏| 3693/4000 [36:17<02:31,  2.03it/s]

train:   5%|▌         | 178/3515 [01:21<27:23,  2.03it/s]
overall:  92%|█████████▏| 3694/4000 [36:18<02:33,  2.00it/s]

train:   5%|▌         | 179/3515 [01:22<27:50,  2.00it/s]
overall:  92%|█████████▏| 3695/4000 [36:18<02:12,  2.31it/s]

train:   5%|▌         | 180/3515 [01:22<24:04,  2.31it/s]
overall:  92%|█████████▏| 3696/4000 [36:19<02:08,  2.37it/s]

train:   5%|▌         | 181/3515 [01:22<23:27,  2.37it/s]
overall:  92%|█████████▏| 3697/4000 [36:19<01:40,  3.01it/s]

train:   5%|▌         | 182/3515 [01:22<18:26,  3.01it/s]
overall:  92%|█████████▏| 3698/4000 [36:19<02:01,  2.48it/s]

train:   5%|▌         | 183/3515 [01:23<22:22,  2.48it/s]
overall:  92%|█████████▏| 3699/4000 [36:20<02:09,  2.32it/s]

train:   5%|▌         | 184/3515 [01:23<23:53,  2.32it/s]
overall:  92%|█████████▎| 3700/4000 [36:20<02:09,  2.31it/s]

train:   5%|▌         | 185/3515 [01:24<24:03,  2.31it/s]
overall:  93%|█████████▎| 3701/4000 [36:21<02:14,  2.22it/s]

train:   5%|▌         | 186/3515 [01:24<24:59,  2.22it/s]
overall:  93%|█████████▎| 3702/4000 [36:21<02:07,  2.33it/s]

train:   5%|▌         | 187/3515 [01:25<23:48,  2.33it/s]
overall:  93%|█████████▎| 3703/4000 [36:22<02:16,  2.18it/s]

train:   5%|▌         | 188/3515 [01:25<25:26,  2.18it/s]
overall:  93%|█████████▎| 3704/4000 [36:22<02:18,  2.14it/s]

train:   5%|▌         | 189/3515 [01:26<25:52,  2.14it/s]
overall:  93%|█████████▎| 3705/4000 [36:23<02:10,  2.26it/s]

train:   5%|▌         | 190/3515 [01:26<24:31,  2.26it/s]
overall:  93%|█████████▎| 3706/4000 [36:23<02:15,  2.17it/s]

train:   5%|▌         | 191/3515 [01:27<25:30,  2.17it/s]
overall:  93%|█████████▎| 3707/4000 [36:23<01:54,  2.57it/s]

train:   5%|▌         | 192/3515 [01:27<21:35,  2.57it/s]
overall:  93%|█████████▎| 3708/4000 [36:24<02:04,  2.35it/s]

train:   5%|▌         | 193/3515 [01:27<23:31,  2.35it/s]
overall:  93%|█████████▎| 3709/4000 [36:24<02:02,  2.37it/s]

train:   6%|▌         | 194/3515 [01:28<23:22,  2.37it/s]
overall:  93%|█████████▎| 3710/4000 [36:25<01:58,  2.45it/s]

train:   6%|▌         | 195/3515 [01:28<22:34,  2.45it/s]
overall:  93%|█████████▎| 3711/4000 [36:25<02:03,  2.34it/s]

train:   6%|▌         | 196/3515 [01:29<23:39,  2.34it/s]
overall:  93%|█████████▎| 3712/4000 [36:26<02:08,  2.24it/s]

train:   6%|▌         | 197/3515 [01:29<24:44,  2.24it/s]
overall:  93%|█████████▎| 3713/4000 [36:26<02:10,  2.20it/s]

train:   6%|▌         | 198/3515 [01:30<25:08,  2.20it/s]
overall:  93%|█████████▎| 3714/4000 [36:26<02:08,  2.22it/s]

train:   6%|▌         | 199/3515 [01:30<24:55,  2.22it/s]
overall:  93%|█████████▎| 3715/4000 [36:27<01:52,  2.54it/s]

train:   6%|▌         | 200/3515 [01:30<21:43,  2.54it/s]
overall:  93%|█████████▎| 3716/4000 [36:27<02:00,  2.36it/s]

train:   6%|▌         | 201/3515 [01:31<23:21,  2.36it/s]
overall:  93%|█████████▎| 3717/4000 [36:28<01:59,  2.38it/s]

train:   6%|▌         | 202/3515 [01:31<23:14,  2.38it/s]
overall:  93%|█████████▎| 3718/4000 [36:28<02:04,  2.27it/s]

train:   6%|▌         | 203/3515 [01:32<24:17,  2.27it/s]
overall:  93%|█████████▎| 3719/4000 [36:29<02:08,  2.18it/s]

train:   6%|▌         | 204/3515 [01:32<25:19,  2.18it/s]
overall:  93%|█████████▎| 3720/4000 [36:29<02:20,  1.99it/s]

train:   6%|▌         | 205/3515 [01:33<27:39,  1.99it/s]
overall:  93%|█████████▎| 3721/4000 [36:30<02:19,  2.00it/s]

train:   6%|▌         | 206/3515 [01:33<27:36,  2.00it/s]
overall:  93%|█████████▎| 3722/4000 [36:30<02:26,  1.90it/s]

train:   6%|▌         | 207/3515 [01:34<29:00,  1.90it/s]
overall:  93%|█████████▎| 3723/4000 [36:31<02:23,  1.94it/s]

train:   6%|▌         | 208/3515 [01:34<28:28,  1.94it/s]
overall:  93%|█████████▎| 3724/4000 [36:31<02:18,  1.99it/s]

train:   6%|▌         | 209/3515 [01:35<27:40,  1.99it/s]
overall:  93%|█████████▎| 3725/4000 [36:32<02:16,  2.01it/s]

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overall:  99%|█████████▉| 3960/4000 [38:21<00:20,  1.93it/s]

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overall: 100%|█████████▉| 3998/4000 [38:38<00:00,  2.13it/s]

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overall: 100%|█████████▉| 3999/4000 [38:39<00:00,  2.17it/s]

train:  14%|█▍        | 484/3515 [03:42<23:19,  2.17it/s]train loss: 1.8350099325180054
train per: 0.5523937142161043
train loss: 1.8282066583633423
train per: 0.5514399697155005
train loss: 1.7781131267547607
train per: 0.5406664460453632
train loss: 1.8184417486190796
train per: 0.5408983451536643
train loss: 1.807533621788025
train per: 0.5472779369627507
train loss: 1.800039291381836
train per: 0.5417038801230525
train loss: 1.7681373357772827
train per: 0.5402639127940333
train loss: 1.795457124710083
train per: 0.5441574352953188
train loss: 1.8294283151626587
train per: 0.5489097208070104
train loss: 1.7936971187591553
train per: 0.541664515462853
train loss: 1.7709929943084717
train per: 0.5364774472293797
train loss: 1.8007280826568604
train per: 0.5466979027219991
train loss: 1.7481117248535156
train per: 0.5345431632010081
train loss: 1.818145990371704
train per: 0.5444673575400036
train loss: 1.8369801044464111
train per: 0.552593011595917
train loss: 1.765337586402893
train per: 0.5393403914997335
train loss: 1.784515619277954
train per: 0.5389635978523225
train loss: 1.7883450984954834
train per: 0.5451822978561582
train loss: 1.8003000020980835
train per: 0.5442344698277989
train loss: 1.7507603168487549
train per: 0.5334501694123145
train loss: 1.814989686012268
train per: 0.5431929181929182
train loss: 1.7562363147735596
train per: 0.5401058901389808
train loss: 1.7947734594345093
train per: 0.543957484330688
train loss: 1.7673832178115845
train per: 0.5408480840303443
train loss: 1.7766335010528564
train per: 0.5365334125922624
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 326/2703 [00:00<00:00, 3234.95it/s]


word -> phonemes:  28%|██▊       | 757/2703 [00:00<00:00, 3864.90it/s]


word -> phonemes:  46%|████▌     | 1232/2703 [00:00<00:00, 4265.52it/s]


word -> phonemes:  63%|██████▎   | 1698/2703 [00:00<00:00, 4418.66it/s]


word -> phonemes:  81%|████████  | 2196/2703 [00:00<00:00, 4618.58it/s]


word -> phonemes:  98%|█████████▊| 2658/2703 [00:00<00:00, 4213.54it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4228.66it/s]



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overall: 100%|█████████▉| 3999/4000 [41:10<00:00,  2.17it/s]

train:  14%|█▍        | 484/3515 [06:14<23:19,  2.17it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [41:10<00:00,  2.17it/s]

train:  14%|█▍        | 484/3515 [06:14<23:19,  2.17it/s]
overall: 100%|██████████| 4000/4000 [41:10<00:00, 45.80s/it]

train:  14%|█▍        | 485/3515 [06:14<38:32:38, 45.80s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [06:14<39:01,  1.29it/s]   

overall: 100%|██████████| 4000/4000 [41:11<00:00,  1.62it/s]
dev loss: 2.142014741897583
dev per: 0.6084703433922997
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt