/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 20:35:01 | 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.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1']
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_norm2 {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_95M_4196_encode_norm2

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]

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word -> phonemes:  19%|█▉        | 660/3515 [00:00<00:01, 1742.34it/s]

word -> phonemes:  24%|██▍       | 835/3515 [00:00<00:01, 1740.64it/s]

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word -> phonemes:  57%|█████▋    | 2005/3515 [00:01<00:00, 1694.39it/s]

word -> phonemes:  62%|██████▏   | 2178/3515 [00:01<00:00, 1700.23it/s]

word -> phonemes:  67%|██████▋   | 2350/3515 [00:01<00:00, 1572.95it/s]

word -> phonemes:  73%|███████▎  | 2557/3515 [00:01<00:00, 1708.10it/s]

word -> phonemes:  79%|███████▉  | 2777/3515 [00:01<00:00, 1826.76it/s]

word -> phonemes:  84%|████████▍ | 2963/3515 [00:01<00:00, 1786.27it/s]

word -> phonemes:  89%|████████▉ | 3144/3515 [00:01<00:00, 1644.96it/s]

word -> phonemes:  95%|█████████▍| 3334/3515 [00:01<00:00, 1713.00it/s]

word -> phonemes: 100%|█████████▉| 3509/3515 [00:02<00:00, 1710.42it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:02<00:00, 1719.43it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:03:59,  4.56s/it]

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overall:   1%|          | 31/4000 [00:18<27:50,  2.38it/s]

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overall:   1%|          | 33/4000 [00:19<35:05,  1.88it/s]

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train:   3%|▎         | 105/3515 [00:50<26:24,  2.15it/s]
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train:   3%|▎         | 106/3515 [00:51<27:10,  2.09it/s]
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overall:   3%|▎         | 109/4000 [00:55<31:17,  2.07it/s]

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overall:   3%|▎         | 110/4000 [00:56<31:31,  2.06it/s]

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train:   3%|▎         | 114/3515 [00:54<26:11,  2.16it/s]
overall:   3%|▎         | 115/4000 [00:58<29:36,  2.19it/s]

train:   3%|▎         | 115/3515 [00:55<25:54,  2.19it/s]
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train:   3%|▎         | 116/3515 [00:55<26:36,  2.13it/s]
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overall:   3%|▎         | 120/4000 [01:00<29:44,  2.17it/s]

train:   3%|▎         | 120/3515 [00:57<26:01,  2.17it/s]
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train:   4%|▎         | 125/3515 [01:00<27:35,  2.05it/s]
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train:   4%|▎         | 126/3515 [01:00<27:50,  2.03it/s]
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train:   4%|▎         | 130/3515 [01:02<26:45,  2.11it/s]
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train:   4%|▎         | 131/3515 [01:02<27:41,  2.04it/s]
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train:   4%|▍         | 132/3515 [01:03<35:12,  1.60it/s]
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train:   4%|▍         | 133/3515 [01:04<33:03,  1.71it/s]
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train:   4%|▍         | 134/3515 [01:04<31:37,  1.78it/s]
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train:   4%|▍         | 135/3515 [01:05<30:58,  1.82it/s]
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train:   4%|▍         | 136/3515 [01:05<30:02,  1.87it/s]
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train:   4%|▍         | 137/3515 [01:06<28:31,  1.97it/s]
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train:   4%|▍         | 138/3515 [01:06<28:53,  1.95it/s]
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train:   4%|▍         | 139/3515 [01:07<29:02,  1.94it/s]
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train:   4%|▍         | 140/3515 [01:07<29:12,  1.93it/s]
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train:   4%|▍         | 141/3515 [01:08<23:34,  2.39it/s]
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train:   4%|▍         | 142/3515 [01:08<23:30,  2.39it/s]
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train:   4%|▍         | 143/3515 [01:09<24:59,  2.25it/s]
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train:   4%|▍         | 144/3515 [01:09<21:58,  2.56it/s]
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train:   4%|▍         | 145/3515 [01:09<23:53,  2.35it/s]
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train:   4%|▍         | 146/3515 [01:10<24:08,  2.33it/s]
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train:   4%|▍         | 147/3515 [01:10<25:30,  2.20it/s]
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train:   4%|▍         | 148/3515 [01:11<25:59,  2.16it/s]
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train:   4%|▍         | 149/3515 [01:11<26:34,  2.11it/s]
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train:   4%|▍         | 150/3515 [01:12<26:28,  2.12it/s]
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train:   4%|▍         | 151/3515 [01:12<26:44,  2.10it/s]
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train:   4%|▍         | 152/3515 [01:13<27:09,  2.06it/s]
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train:   4%|▍         | 153/3515 [01:13<26:56,  2.08it/s]
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train:   4%|▍         | 154/3515 [01:14<26:10,  2.14it/s]
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train:   4%|▍         | 155/3515 [01:14<31:07,  1.80it/s]
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train:   4%|▍         | 156/3515 [01:15<31:55,  1.75it/s]
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train:   4%|▍         | 157/3515 [01:15<30:22,  1.84it/s]
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train:   4%|▍         | 158/3515 [01:16<29:24,  1.90it/s]
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train:   5%|▍         | 159/3515 [01:16<29:00,  1.93it/s]
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train:   5%|▍         | 160/3515 [01:17<24:04,  2.32it/s]
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train:   5%|▍         | 161/3515 [01:17<24:41,  2.26it/s]
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train:   5%|▍         | 162/3515 [01:18<25:27,  2.20it/s]
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train:   5%|▍         | 163/3515 [01:18<25:50,  2.16it/s]
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train:   5%|▍         | 164/3515 [01:19<26:31,  2.11it/s]
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train:   5%|▍         | 165/3515 [01:19<26:47,  2.08it/s]
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train:   5%|▍         | 166/3515 [01:20<26:48,  2.08it/s]
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train:   5%|▍         | 167/3515 [01:20<23:02,  2.42it/s]
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train:   5%|▍         | 168/3515 [01:20<24:54,  2.24it/s]
overall:   4%|▍         | 169/4000 [01:24<32:28,  1.97it/s]

train:   5%|▍         | 169/3515 [01:21<28:22,  1.97it/s]
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train:   5%|▍         | 170/3515 [01:21<27:47,  2.01it/s]
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train:   5%|▍         | 171/3515 [01:22<27:46,  2.01it/s]
overall:   4%|▍         | 172/4000 [01:26<31:59,  1.99it/s]

train:   5%|▍         | 172/3515 [01:22<27:56,  1.99it/s]
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train:   5%|▍         | 173/3515 [01:23<23:48,  2.34it/s]
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train:   5%|▍         | 174/3515 [01:23<25:17,  2.20it/s]
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train:   5%|▍         | 175/3515 [01:24<26:16,  2.12it/s]
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train:   5%|▌         | 176/3515 [01:24<26:48,  2.08it/s]
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train:   5%|▌         | 177/3515 [01:25<27:10,  2.05it/s]
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train:   5%|▌         | 178/3515 [01:25<27:09,  2.05it/s]
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train:   5%|▌         | 179/3515 [01:26<27:42,  2.01it/s]
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train:   5%|▌         | 180/3515 [01:26<30:07,  1.84it/s]
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train:   5%|▌         | 181/3515 [01:27<29:24,  1.89it/s]
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train:   5%|▌         | 182/3515 [01:27<29:04,  1.91it/s]
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train:   5%|▌         | 183/3515 [01:28<28:56,  1.92it/s]
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train:   5%|▌         | 184/3515 [01:28<27:13,  2.04it/s]
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train:   5%|▌         | 185/3515 [01:29<26:33,  2.09it/s]
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train:   5%|▌         | 186/3515 [01:29<26:44,  2.07it/s]
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train:   5%|▌         | 187/3515 [01:30<25:10,  2.20it/s]
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train:   5%|▌         | 188/3515 [01:30<24:05,  2.30it/s]
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train:   5%|▌         | 189/3515 [01:31<24:43,  2.24it/s]
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train:   5%|▌         | 191/3515 [01:31<24:08,  2.29it/s]
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train:   5%|▌         | 192/3515 [01:32<20:10,  2.74it/s]
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train:   6%|▌         | 194/3515 [01:33<26:10,  2.11it/s]
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train:   6%|▌         | 195/3515 [01:33<26:44,  2.07it/s]
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train:   6%|▌         | 200/3515 [01:36<26:17,  2.10it/s]
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train:   6%|▌         | 206/3515 [01:38<23:03,  2.39it/s]
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train:   6%|▌         | 207/3515 [01:39<24:17,  2.27it/s]
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train:   6%|▌         | 208/3515 [01:39<25:02,  2.20it/s]
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train:   6%|▌         | 209/3515 [01:40<24:43,  2.23it/s]
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train:   6%|▌         | 210/3515 [01:40<24:50,  2.22it/s]
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train:   6%|▌         | 219/3515 [01:45<26:45,  2.05it/s]
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train:   6%|▋         | 220/3515 [01:45<26:12,  2.10it/s]
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train:   6%|▋         | 221/3515 [01:46<25:33,  2.15it/s]
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train:   6%|▋         | 222/3515 [01:46<26:27,  2.07it/s]
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train:   6%|▋         | 223/3515 [01:47<26:41,  2.06it/s]
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train:   6%|▋         | 224/3515 [01:47<26:09,  2.10it/s]
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train:   6%|▋         | 225/3515 [01:48<26:11,  2.09it/s]
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train:   6%|▋         | 226/3515 [01:48<25:43,  2.13it/s]
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train:   6%|▋         | 227/3515 [01:49<26:47,  2.05it/s]
overall:   6%|▌         | 228/4000 [01:52<25:45,  2.44it/s]

train:   6%|▋         | 228/3515 [01:49<22:26,  2.44it/s]
overall:   6%|▌         | 229/4000 [01:52<27:08,  2.32it/s]

train:   7%|▋         | 229/3515 [01:49<23:39,  2.32it/s]
overall:   6%|▌         | 230/4000 [01:53<28:37,  2.19it/s]

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overall:   6%|▌         | 231/4000 [01:53<22:21,  2.81it/s]

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overall:   6%|▌         | 232/4000 [01:54<24:42,  2.54it/s]

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overall:   6%|▌         | 233/4000 [01:54<26:33,  2.36it/s]

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overall:   6%|▌         | 234/4000 [01:55<28:24,  2.21it/s]

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overall:   6%|▌         | 235/4000 [01:55<29:19,  2.14it/s]

train:   7%|▋         | 235/3515 [01:52<25:32,  2.14it/s]
overall:   6%|▌         | 236/4000 [01:56<28:46,  2.18it/s]

train:   7%|▋         | 236/3515 [01:52<25:04,  2.18it/s]
overall:   6%|▌         | 237/4000 [01:56<28:36,  2.19it/s]

train:   7%|▋         | 237/3515 [01:53<24:55,  2.19it/s]
overall:   6%|▌         | 238/4000 [01:57<29:40,  2.11it/s]

train:   7%|▋         | 238/3515 [01:53<25:51,  2.11it/s]
overall:   6%|▌         | 239/4000 [01:57<30:28,  2.06it/s]

train:   7%|▋         | 239/3515 [01:54<26:32,  2.06it/s]
overall:   6%|▌         | 240/4000 [01:58<30:58,  2.02it/s]

train:   7%|▋         | 240/3515 [01:54<26:59,  2.02it/s]
overall:   6%|▌         | 241/4000 [01:58<33:42,  1.86it/s]

train:   7%|▋         | 241/3515 [01:55<29:21,  1.86it/s]
overall:   6%|▌         | 242/4000 [01:59<33:06,  1.89it/s]

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overall:   6%|▌         | 243/4000 [01:59<32:29,  1.93it/s]

train:   7%|▋         | 243/3515 [01:56<28:17,  1.93it/s]
overall:   6%|▌         | 244/4000 [02:00<31:33,  1.98it/s]

train:   7%|▋         | 244/3515 [01:56<27:29,  1.98it/s]
overall:   6%|▌         | 245/4000 [02:00<30:51,  2.03it/s]

train:   7%|▋         | 245/3515 [01:57<26:52,  2.03it/s]
overall:   6%|▌         | 246/4000 [02:01<29:50,  2.10it/s]

train:   7%|▋         | 246/3515 [01:57<25:59,  2.10it/s]
overall:   6%|▌         | 247/4000 [02:01<30:00,  2.08it/s]

train:   7%|▋         | 247/3515 [01:58<26:07,  2.08it/s]
overall:   6%|▌         | 248/4000 [02:02<29:50,  2.09it/s]

train:   7%|▋         | 248/3515 [01:58<25:59,  2.09it/s]
overall:   6%|▌         | 249/4000 [02:02<29:04,  2.15it/s]

train:   7%|▋         | 249/3515 [01:59<25:18,  2.15it/s]
overall:   6%|▋         | 250/4000 [02:02<29:38,  2.11it/s]

train:   7%|▋         | 250/3515 [01:59<25:48,  2.11it/s]
overall:   6%|▋         | 251/4000 [02:03<28:04,  2.23it/s]

train:   7%|▋         | 251/3515 [02:00<24:26,  2.23it/s]
overall:   6%|▋         | 252/4000 [02:03<31:50,  1.96it/s]

train:   7%|▋         | 252/3515 [02:00<27:43,  1.96it/s]
overall:   6%|▋         | 253/4000 [02:04<30:42,  2.03it/s]

train:   7%|▋         | 253/3515 [02:01<26:43,  2.03it/s]
overall:   6%|▋         | 254/4000 [02:04<30:39,  2.04it/s]

train:   7%|▋         | 254/3515 [02:01<26:41,  2.04it/s]
overall:   6%|▋         | 255/4000 [02:05<30:25,  2.05it/s]

train:   7%|▋         | 255/3515 [02:02<26:29,  2.05it/s]
overall:   6%|▋         | 256/4000 [02:05<30:34,  2.04it/s]

train:   7%|▋         | 256/3515 [02:02<26:37,  2.04it/s]
overall:   6%|▋         | 257/4000 [02:06<30:37,  2.04it/s]

train:   7%|▋         | 257/3515 [02:03<26:39,  2.04it/s]
overall:   6%|▋         | 258/4000 [02:06<30:26,  2.05it/s]

train:   7%|▋         | 258/3515 [02:03<26:29,  2.05it/s]
overall:   6%|▋         | 259/4000 [02:07<30:51,  2.02it/s]

train:   7%|▋         | 259/3515 [02:04<26:51,  2.02it/s]
overall:   6%|▋         | 260/4000 [02:07<31:16,  1.99it/s]

train:   7%|▋         | 260/3515 [02:04<27:12,  1.99it/s]
overall:   7%|▋         | 261/4000 [02:08<30:44,  2.03it/s]

train:   7%|▋         | 261/3515 [02:05<26:45,  2.03it/s]
overall:   7%|▋         | 262/4000 [02:08<30:36,  2.04it/s]

train:   7%|▋         | 262/3515 [02:05<26:38,  2.04it/s]
overall:   7%|▋         | 263/4000 [02:09<30:28,  2.04it/s]

train:   7%|▋         | 263/3515 [02:06<26:31,  2.04it/s]
overall:   7%|▋         | 264/4000 [02:09<30:36,  2.03it/s]

train:   8%|▊         | 264/3515 [02:06<26:37,  2.03it/s]
overall:   7%|▋         | 265/4000 [02:10<33:08,  1.88it/s]

train:   8%|▊         | 265/3515 [02:07<28:50,  1.88it/s]
overall:   7%|▋         | 266/4000 [02:10<32:13,  1.93it/s]

train:   8%|▊         | 266/3515 [02:07<28:02,  1.93it/s]
overall:   7%|▋         | 267/4000 [02:11<31:16,  1.99it/s]

train:   8%|▊         | 267/3515 [02:08<27:12,  1.99it/s]
overall:   7%|▋         | 268/4000 [02:11<29:56,  2.08it/s]

train:   8%|▊         | 268/3515 [02:08<26:02,  2.08it/s]
overall:   7%|▋         | 269/4000 [02:12<28:11,  2.21it/s]

train:   8%|▊         | 269/3515 [02:09<24:31,  2.21it/s]
overall:   7%|▋         | 270/4000 [02:12<27:46,  2.24it/s]

train:   8%|▊         | 270/3515 [02:09<24:09,  2.24it/s]
overall:   7%|▋         | 271/4000 [02:13<29:00,  2.14it/s]

train:   8%|▊         | 271/3515 [02:09<25:14,  2.14it/s]
overall:   7%|▋         | 272/4000 [02:13<29:50,  2.08it/s]

train:   8%|▊         | 272/3515 [02:10<25:57,  2.08it/s]
overall:   7%|▋         | 273/4000 [02:14<29:54,  2.08it/s]

train:   8%|▊         | 273/3515 [02:10<26:00,  2.08it/s]
overall:   7%|▋         | 274/4000 [02:14<30:03,  2.07it/s]

train:   8%|▊         | 274/3515 [02:11<26:09,  2.07it/s]
overall:   7%|▋         | 275/4000 [02:15<31:26,  1.97it/s]

train:   8%|▊         | 275/3515 [02:11<27:20,  1.97it/s]
overall:   7%|▋         | 276/4000 [02:15<33:46,  1.84it/s]

train:   8%|▊         | 276/3515 [02:12<29:22,  1.84it/s]
overall:   7%|▋         | 277/4000 [02:16<32:01,  1.94it/s]

train:   8%|▊         | 277/3515 [02:13<27:50,  1.94it/s]
overall:   7%|▋         | 278/4000 [02:16<30:22,  2.04it/s]

train:   8%|▊         | 278/3515 [02:13<26:24,  2.04it/s]
overall:   7%|▋         | 279/4000 [02:17<30:17,  2.05it/s]

train:   8%|▊         | 279/3515 [02:13<26:20,  2.05it/s]
overall:   7%|▋         | 280/4000 [02:17<30:28,  2.03it/s]

train:   8%|▊         | 280/3515 [02:14<26:30,  2.03it/s]
overall:   7%|▋         | 281/4000 [02:18<30:34,  2.03it/s]

train:   8%|▊         | 281/3515 [02:14<26:35,  2.03it/s]
overall:   7%|▋         | 282/4000 [02:18<29:38,  2.09it/s]

train:   8%|▊         | 282/3515 [02:15<25:46,  2.09it/s]
overall:   7%|▋         | 283/4000 [02:18<26:23,  2.35it/s]

train:   8%|▊         | 283/3515 [02:15<22:57,  2.35it/s]
overall:   7%|▋         | 284/4000 [02:19<27:50,  2.22it/s]

train:   8%|▊         | 284/3515 [02:16<24:12,  2.22it/s]
overall:   7%|▋         | 285/4000 [02:19<28:37,  2.16it/s]

train:   8%|▊         | 285/3515 [02:16<24:53,  2.16it/s]
overall:   7%|▋         | 286/4000 [02:20<29:09,  2.12it/s]

train:   8%|▊         | 286/3515 [02:17<25:20,  2.12it/s]
overall:   7%|▋         | 287/4000 [02:20<27:56,  2.21it/s]

train:   8%|▊         | 287/3515 [02:17<24:17,  2.21it/s]
overall:   7%|▋         | 288/4000 [02:21<27:21,  2.26it/s]

train:   8%|▊         | 288/3515 [02:18<23:47,  2.26it/s]
overall:   7%|▋         | 289/4000 [02:21<31:41,  1.95it/s]

train:   8%|▊         | 289/3515 [02:18<27:32,  1.95it/s]
overall:   7%|▋         | 290/4000 [02:22<31:40,  1.95it/s]

train:   8%|▊         | 290/3515 [02:19<27:32,  1.95it/s]
overall:   7%|▋         | 291/4000 [02:22<31:11,  1.98it/s]

train:   8%|▊         | 291/3515 [02:19<27:07,  1.98it/s]
overall:   7%|▋         | 292/4000 [02:23<30:40,  2.01it/s]

train:   8%|▊         | 292/3515 [02:20<26:39,  2.01it/s]
overall:   7%|▋         | 293/4000 [02:23<29:41,  2.08it/s]

train:   8%|▊         | 293/3515 [02:20<25:48,  2.08it/s]
overall:   7%|▋         | 294/4000 [02:24<29:58,  2.06it/s]

train:   8%|▊         | 294/3515 [02:21<26:03,  2.06it/s]
overall:   7%|▋         | 295/4000 [02:24<30:19,  2.04it/s]

train:   8%|▊         | 295/3515 [02:21<26:21,  2.04it/s]
overall:   7%|▋         | 296/4000 [02:25<30:39,  2.01it/s]

train:   8%|▊         | 296/3515 [02:22<26:38,  2.01it/s]
overall:   7%|▋         | 297/4000 [02:25<30:30,  2.02it/s]

train:   8%|▊         | 297/3515 [02:22<26:30,  2.02it/s]
overall:   7%|▋         | 298/4000 [02:26<30:43,  2.01it/s]

train:   8%|▊         | 298/3515 [02:23<26:42,  2.01it/s]
overall:   7%|▋         | 299/4000 [02:26<29:24,  2.10it/s]

train:   9%|▊         | 299/3515 [02:23<25:33,  2.10it/s]
overall:   8%|▊         | 300/4000 [02:27<32:24,  1.90it/s]

train:   9%|▊         | 300/3515 [02:24<28:09,  1.90it/s]
overall:   8%|▊         | 301/4000 [02:27<30:56,  1.99it/s]

train:   9%|▊         | 301/3515 [02:24<26:53,  1.99it/s]
overall:   8%|▊         | 302/4000 [02:28<31:06,  1.98it/s]

train:   9%|▊         | 302/3515 [02:25<27:01,  1.98it/s]
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train:   9%|▊         | 303/3515 [02:25<26:40,  2.01it/s]
overall:   8%|▊         | 304/4000 [02:29<30:38,  2.01it/s]

train:   9%|▊         | 304/3515 [02:26<26:37,  2.01it/s]
overall:   8%|▊         | 305/4000 [02:29<30:20,  2.03it/s]

train:   9%|▊         | 305/3515 [02:26<26:21,  2.03it/s]
overall:   8%|▊         | 306/4000 [02:30<29:26,  2.09it/s]

train:   9%|▊         | 306/3515 [02:27<25:34,  2.09it/s]
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train:   9%|▊         | 307/3515 [02:27<26:21,  2.03it/s]
overall:   8%|▊         | 308/4000 [02:31<30:42,  2.00it/s]

train:   9%|▉         | 308/3515 [02:28<26:40,  2.00it/s]
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overall:   8%|▊         | 310/4000 [02:32<30:02,  2.05it/s]

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train:   9%|▉         | 311/3515 [02:29<26:04,  2.05it/s]
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train:   9%|▉         | 314/3515 [02:31<27:03,  1.97it/s]
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train:   9%|▉         | 315/3515 [02:31<22:47,  2.34it/s]
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train:   9%|▉         | 316/3515 [02:31<22:02,  2.42it/s]
overall:   8%|▊         | 317/4000 [02:35<22:47,  2.69it/s]

train:   9%|▉         | 317/3515 [02:31<19:47,  2.69it/s]
overall:   8%|▊         | 318/4000 [02:35<25:05,  2.45it/s]

train:   9%|▉         | 318/3515 [02:32<21:47,  2.45it/s]
overall:   8%|▊         | 319/4000 [02:36<26:56,  2.28it/s]

train:   9%|▉         | 319/3515 [02:32<23:23,  2.28it/s]
overall:   8%|▊         | 320/4000 [02:36<27:54,  2.20it/s]

train:   9%|▉         | 320/3515 [02:33<24:13,  2.20it/s]
overall:   8%|▊         | 321/4000 [02:37<28:50,  2.13it/s]

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train:   9%|▉         | 324/3515 [02:35<27:18,  1.95it/s]
overall:   8%|▊         | 325/4000 [02:39<31:32,  1.94it/s]

train:   9%|▉         | 325/3515 [02:36<27:22,  1.94it/s]
overall:   8%|▊         | 326/4000 [02:39<31:28,  1.94it/s]

train:   9%|▉         | 326/3515 [02:36<27:19,  1.94it/s]
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train:   9%|▉         | 327/3515 [02:37<27:02,  1.96it/s]
overall:   8%|▊         | 328/4000 [02:40<31:16,  1.96it/s]

train:   9%|▉         | 328/3515 [02:37<27:08,  1.96it/s]
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train:   9%|▉         | 329/3515 [02:38<27:08,  1.96it/s]
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train:   9%|▉         | 330/3515 [02:38<23:10,  2.29it/s]
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train:   9%|▉         | 331/3515 [02:38<23:06,  2.30it/s]
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train:   9%|▉         | 332/3515 [02:39<24:02,  2.21it/s]
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train:   9%|▉         | 333/3515 [02:39<24:59,  2.12it/s]
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train:  10%|▉         | 334/3515 [02:40<25:21,  2.09it/s]
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train:  10%|▉         | 335/3515 [02:40<25:22,  2.09it/s]
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train:  10%|▉         | 336/3515 [02:41<25:43,  2.06it/s]
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train:  10%|▉         | 337/3515 [02:41<28:40,  1.85it/s]
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train:  10%|▉         | 345/3515 [02:45<21:59,  2.40it/s]
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train:  10%|▉         | 346/3515 [02:45<17:51,  2.96it/s]
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train:  10%|▉         | 347/3515 [02:46<20:41,  2.55it/s]
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train:  10%|▉         | 348/3515 [02:46<23:56,  2.20it/s]
overall:   9%|▊         | 349/4000 [02:50<28:18,  2.15it/s]

train:  10%|▉         | 349/3515 [02:47<24:32,  2.15it/s]
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overall:  10%|▉         | 389/4000 [03:08<26:29,  2.27it/s]

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overall:  10%|▉         | 397/4000 [03:12<29:26,  2.04it/s]

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overall:  10%|▉         | 398/4000 [03:12<29:10,  2.06it/s]

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overall:  10%|█         | 409/4000 [03:18<32:24,  1.85it/s]

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overall:  10%|█         | 413/4000 [03:20<30:39,  1.95it/s]

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overall:  12%|█▏        | 478/4000 [03:50<26:35,  2.21it/s]

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overall:  12%|█▏        | 482/4000 [03:52<27:42,  2.12it/s]

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overall:  12%|█▏        | 483/4000 [03:52<27:10,  2.16it/s]

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overall:  12%|█▏        | 484/4000 [03:52<22:04,  2.66it/s]

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overall:  12%|█▏        | 486/4000 [03:53<25:10,  2.33it/s]

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overall:  12%|█▏        | 487/4000 [03:54<26:06,  2.24it/s]

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overall:  12%|█▏        | 488/4000 [03:54<26:48,  2.18it/s]

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overall:  12%|█▏        | 489/4000 [03:55<27:18,  2.14it/s]

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overall:  12%|█▏        | 490/4000 [03:55<26:25,  2.21it/s]

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overall:  12%|█▏        | 496/4000 [03:58<26:23,  2.21it/s]

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overall:  12%|█▏        | 499/4000 [03:59<21:58,  2.66it/s]

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overall:  13%|█▎        | 502/4000 [04:00<25:08,  2.32it/s]

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overall:  13%|█▎        | 503/4000 [04:01<25:23,  2.29it/s]

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overall:  13%|█▎        | 504/4000 [04:01<26:04,  2.24it/s]

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overall:  13%|█▎        | 505/4000 [04:02<29:10,  2.00it/s]

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overall:  13%|█▎        | 506/4000 [04:02<25:49,  2.26it/s]

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overall:  13%|█▎        | 508/4000 [04:03<26:37,  2.19it/s]

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overall:  13%|█▎        | 509/4000 [04:03<27:25,  2.12it/s]

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overall:  13%|█▎        | 510/4000 [04:04<27:30,  2.11it/s]

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overall:  13%|█▎        | 511/4000 [04:04<27:48,  2.09it/s]

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overall:  13%|█▎        | 512/4000 [04:05<28:09,  2.06it/s]

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overall:  13%|█▎        | 513/4000 [04:05<27:24,  2.12it/s]

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overall:  13%|█▎        | 514/4000 [04:06<24:56,  2.33it/s]

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overall:  13%|█▎        | 515/4000 [04:06<21:05,  2.75it/s]

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overall:  13%|█▎        | 516/4000 [04:06<26:04,  2.23it/s]

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overall:  13%|█▎        | 517/4000 [04:07<27:19,  2.12it/s]

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overall:  13%|█▎        | 518/4000 [04:07<27:25,  2.12it/s]

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overall:  13%|█▎        | 519/4000 [04:08<27:59,  2.07it/s]

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overall:  13%|█▎        | 523/4000 [04:10<25:22,  2.28it/s]

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overall:  13%|█▎        | 527/4000 [04:11<26:27,  2.19it/s]

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overall:  13%|█▎        | 531/4000 [04:13<27:15,  2.12it/s]

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overall:  13%|█▎        | 533/4000 [04:14<27:10,  2.13it/s]

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overall:  13%|█▎        | 534/4000 [04:15<27:24,  2.11it/s]

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overall:  13%|█▎        | 535/4000 [04:15<27:55,  2.07it/s]

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overall:  13%|█▎        | 536/4000 [04:16<28:16,  2.04it/s]

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overall:  13%|█▎        | 537/4000 [04:16<28:17,  2.04it/s]

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overall:  13%|█▎        | 538/4000 [04:16<22:46,  2.53it/s]

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overall:  13%|█▎        | 539/4000 [04:17<18:18,  3.15it/s]

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overall:  14%|█▎        | 542/4000 [04:17<18:11,  3.17it/s]

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overall:  14%|█▍        | 550/4000 [04:21<25:52,  2.22it/s]

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overall:  14%|█▍        | 552/4000 [04:22<27:08,  2.12it/s]

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overall:  14%|█▍        | 554/4000 [04:23<28:12,  2.04it/s]

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overall:  14%|█▍        | 558/4000 [04:25<28:01,  2.05it/s]

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overall:  14%|█▍        | 560/4000 [04:26<26:45,  2.14it/s]

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overall:  14%|█▍        | 561/4000 [04:26<27:37,  2.08it/s]

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overall:  14%|█▍        | 562/4000 [04:27<27:53,  2.05it/s]

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train:  28%|██▊       | 999/3515 [07:47<20:53,  2.01it/s]train loss: 5.337327480316162
train per: 0.9174982536672986
train loss: 4.116278648376465
train per: 0.8533573586305581
train loss: 3.783956527709961
train per: 0.8907096672861967
train loss: 3.5870308876037598
train per: 0.8743559254855331
train loss: 3.6332645416259766
train per: 0.8669414049547629
train loss: 3.497173309326172
train per: 0.8767367119901113
train loss: 3.347956895828247
train per: 0.8770977406347847
train loss: 3.3989944458007812
train per: 0.9008276937784598
train loss: 3.294072389602661
train per: 0.8880099818725428
train loss: 3.250441789627075
train per: 0.9013908748212661
train loss: 3.270832061767578
train per: 0.9021821469589228
train loss: 3.3206710815429688
train per: 0.9023060377169726
train loss: 3.254650115966797
train per: 0.8857089889463073
train loss: 3.198883295059204
train per: 0.89958724387008
train loss: 3.2349159717559814
train per: 0.8919593767256488
train loss: 3.287332057952881
train per: 0.8858510081499389
train loss: 3.199697494506836
train per: 0.8941571312730877
train loss: 3.2657649517059326
train per: 0.9077297398465282
train loss: 3.238678455352783
train per: 0.9025043487864814
train loss: 3.28796124458313
train per: 0.9134504643583523
train loss: 3.2100119590759277
train per: 0.8997154396915733
train loss: 3.1997241973876953
train per: 0.9031087118391661
train loss: 3.2084450721740723
train per: 0.9125787958183091
train loss: 3.2035679817199707
train per: 0.9071346522016592
train loss: 3.2453885078430176
train per: 0.9011738401341531
train loss: 3.2662250995635986
train per: 0.9047733847637416
train loss: 3.3197178840637207
train per: 0.9168987803888694
train loss: 3.253140687942505
train per: 0.9003937919851749
train loss: 3.297576427459717
train per: 0.9041532724701041
train loss: 3.2379677295684814
train per: 0.9067197402189284
train loss: 3.2446796894073486
train per: 0.911202851355163
train loss: 3.197481393814087
train per: 0.9032631449328901
train loss: 3.168079137802124
train per: 0.9082815682921309
train loss: 3.2415390014648438
train per: 0.9194449851235993
train loss: 3.200713634490967
train per: 0.9158690916211784
train loss: 3.1687729358673096
train per: 0.9034182482980925
train loss: 3.172305107116699
train per: 0.9053005894847378
train loss: 3.1726598739624023
train per: 0.9167270794065052
train loss: 3.1609976291656494
train per: 0.9045158446392711
train loss: 3.1513915061950684
train per: 0.917422951121758
train loss: 3.1645865440368652
train per: 0.9198927069740467
train loss: 3.1895859241485596
train per: 0.9127354729960593
train loss: 3.1952528953552246
train per: 0.9028793957989143
train loss: 3.177950382232666
train per: 0.9049553208773355
train loss: 3.1704516410827637
train per: 0.9019542384633163
train loss: 3.1421689987182617
train per: 0.9065259691662925
train loss: 3.1549854278564453
train per: 0.9194306246545052
train loss: 3.2006144523620605
train per: 0.918475983931784
train loss: 3.1671717166900635
train per: 0.9049579380705208
train loss: 3.1743807792663574
train per: 0.9073531400748388
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 360/2703 [00:00<00:00, 3597.69it/s]


word -> phonemes:  27%|██▋       | 720/2703 [00:00<00:00, 3494.03it/s]


word -> phonemes:  40%|████      | 1094/2703 [00:00<00:00, 3600.00it/s]


word -> phonemes:  54%|█████▍    | 1455/2703 [00:00<00:00, 3446.57it/s]


word -> phonemes:  67%|██████▋   | 1817/2703 [00:00<00:00, 3502.66it/s]


word -> phonemes:  80%|████████  | 2170/2703 [00:00<00:00, 3507.28it/s]


word -> phonemes:  93%|█████████▎| 2522/2703 [00:00<00:00, 3211.48it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3317.10it/s]



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train:  56%|█████▌    | 1957/3515 [17:09<12:46,  2.03it/s]
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train:  56%|█████▌    | 1958/3515 [17:09<12:22,  2.10it/s]
overall:  49%|████▉     | 1959/4000 [17:13<15:02,  2.26it/s]

train:  56%|█████▌    | 1959/3515 [17:10<11:28,  2.26it/s]
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train:  56%|█████▌    | 1960/3515 [17:10<09:47,  2.65it/s]
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train:  56%|█████▌    | 1961/3515 [17:10<10:48,  2.40it/s]
overall:  49%|████▉     | 1962/4000 [17:14<15:59,  2.12it/s]

train:  56%|█████▌    | 1962/3515 [17:11<12:10,  2.12it/s]
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train:  56%|█████▌    | 1963/3515 [17:11<12:18,  2.10it/s]
overall:  49%|████▉     | 1964/4000 [17:15<16:24,  2.07it/s]

train:  56%|█████▌    | 1964/3515 [17:12<12:29,  2.07it/s]
overall:  49%|████▉     | 1965/4000 [17:16<15:49,  2.14it/s]

train:  56%|█████▌    | 1965/3515 [17:12<12:03,  2.14it/s]
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train:  56%|█████▌    | 1966/3515 [17:13<12:08,  2.13it/s]
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train:  56%|█████▌    | 1967/3515 [17:13<12:23,  2.08it/s]
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train:  56%|█████▌    | 1968/3515 [17:14<12:31,  2.06it/s]
overall:  49%|████▉     | 1969/4000 [17:18<17:19,  1.95it/s]

train:  56%|█████▌    | 1969/3515 [17:14<13:11,  1.95it/s]
overall:  49%|████▉     | 1970/4000 [17:18<17:10,  1.97it/s]

train:  56%|█████▌    | 1970/3515 [17:15<13:04,  1.97it/s]
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train:  56%|█████▌    | 1971/3515 [17:15<12:49,  2.01it/s]
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train:  56%|█████▌    | 1972/3515 [17:16<12:08,  2.12it/s]
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train:  56%|█████▌    | 1973/3515 [17:16<11:39,  2.20it/s]
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train:  56%|█████▌    | 1975/3515 [17:17<12:17,  2.09it/s]
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train:  56%|█████▌    | 1976/3515 [17:18<13:06,  1.96it/s]
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train:  56%|█████▌    | 1977/3515 [17:18<10:22,  2.47it/s]
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train:  56%|█████▋    | 1978/3515 [17:18<11:04,  2.31it/s]
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train:  56%|█████▋    | 1979/3515 [17:19<11:38,  2.20it/s]
overall:  50%|████▉     | 1980/4000 [17:23<16:35,  2.03it/s]

train:  56%|█████▋    | 1980/3515 [17:20<12:36,  2.03it/s]
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train:  56%|█████▋    | 1981/3515 [17:20<09:40,  2.64it/s]
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train:  56%|█████▋    | 1982/3515 [17:20<10:40,  2.39it/s]
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train:  56%|█████▋    | 1983/3515 [17:21<10:42,  2.39it/s]
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train:  56%|█████▋    | 1984/3515 [17:21<11:11,  2.28it/s]
overall:  50%|████▉     | 1985/4000 [17:25<15:28,  2.17it/s]

train:  56%|█████▋    | 1985/3515 [17:22<11:44,  2.17it/s]
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train:  57%|█████▋    | 1986/3515 [17:22<10:35,  2.41it/s]
overall:  50%|████▉     | 1987/4000 [17:26<14:35,  2.30it/s]

train:  57%|█████▋    | 1987/3515 [17:22<11:04,  2.30it/s]
overall:  50%|████▉     | 1988/4000 [17:26<15:37,  2.15it/s]

train:  57%|█████▋    | 1988/3515 [17:23<11:51,  2.15it/s]
overall:  50%|████▉     | 1989/4000 [17:27<15:52,  2.11it/s]

train:  57%|█████▋    | 1989/3515 [17:23<12:03,  2.11it/s]
overall:  50%|████▉     | 1990/4000 [17:27<16:19,  2.05it/s]

train:  57%|█████▋    | 1990/3515 [17:24<12:22,  2.05it/s]
overall:  50%|████▉     | 1991/4000 [17:28<16:31,  2.03it/s]

train:  57%|█████▋    | 1991/3515 [17:24<12:32,  2.03it/s]
overall:  50%|████▉     | 1992/4000 [17:28<16:24,  2.04it/s]

train:  57%|█████▋    | 1992/3515 [17:25<12:26,  2.04it/s]
overall:  50%|████▉     | 1993/4000 [17:29<17:25,  1.92it/s]

train:  57%|█████▋    | 1993/3515 [17:25<13:12,  1.92it/s]
overall:  50%|████▉     | 1994/4000 [17:29<17:22,  1.92it/s]

train:  57%|█████▋    | 1994/3515 [17:26<13:10,  1.92it/s]
overall:  50%|████▉     | 1995/4000 [17:30<17:07,  1.95it/s]

train:  57%|█████▋    | 1995/3515 [17:27<12:58,  1.95it/s]
overall:  50%|████▉     | 1996/4000 [17:30<16:24,  2.03it/s]

train:  57%|█████▋    | 1996/3515 [17:27<12:26,  2.03it/s]
overall:  50%|████▉     | 1997/4000 [17:31<16:22,  2.04it/s]

train:  57%|█████▋    | 1997/3515 [17:27<12:24,  2.04it/s]
overall:  50%|████▉     | 1998/4000 [17:31<16:29,  2.02it/s]

train:  57%|█████▋    | 1998/3515 [17:28<12:30,  2.02it/s]
overall:  50%|████▉     | 1999/4000 [17:32<16:41,  2.00it/s]

train:  57%|█████▋    | 1999/3515 [17:28<12:38,  2.00it/s]dev loss: 3.417365074157715
dev per: 0.9106243496357961
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.2046821117401123
train per: 0.8990469208211144
train loss: 3.1954009532928467
train per: 0.9152971820980346
train loss: 3.18827748298645
train per: 0.9138841275282825
train loss: 3.1807701587677
train per: 0.9086620396670536
train loss: 3.1695616245269775
train per: 0.904019140957508
train loss: 3.1823267936706543
train per: 0.9037890424987199
train loss: 3.2137675285339355
train per: 0.8950467266304212
train loss: 3.144547462463379
train per: 0.9053692450046265
train loss: 3.2292065620422363
train per: 0.9088659793814433
train loss: 3.1810030937194824
train per: 0.9183424455029683
train loss: 3.1893820762634277
train per: 0.9135350465137699
train loss: 3.174406051635742
train per: 0.9102960231236918
train loss: 3.2025413513183594
train per: 0.9191733698885239
train loss: 3.189295530319214
train per: 0.9119380238760477
train loss: 3.1964879035949707
train per: 0.9271005342399223
train loss: 3.168038845062256
train per: 0.9159278429764772
train loss: 3.171455144882202
train per: 0.9101112700298175
train loss: 3.1604411602020264
train per: 0.9110198333528928
train loss: 3.1728034019470215
train per: 0.9067817755377015
train loss: 3.156843662261963
train per: 0.9229553145764889
train loss: 3.1379952430725098
train per: 0.9180281472714642
train loss: 3.155303478240967
train per: 0.9123392928887103
train loss: 3.161665439605713
train per: 0.9094487244102047
train loss: 3.1475415229797363
train per: 0.9107404905546109
train loss: 3.1792736053466797
train per: 0.906824651842733
train loss: 3.2044644355773926
train per: 0.913225772211018
train loss: 3.1831412315368652
train per: 0.9193365389810363
train loss: 3.2091987133026123
train per: 0.9100567399070679
train loss: 3.3027660846710205
train per: 0.9103312696223702
train loss: 3.2105917930603027
train per: 0.9176123733533004
train loss: 3.257970094680786
train per: 0.9131991387511892
train loss: 3.2352802753448486
train per: 0.9103435459034673
train loss: 3.2559897899627686
train per: 0.9110678585159554
train loss: 3.211712598800659
train per: 0.9065983587116361
train loss: 3.245896100997925
train per: 0.9062446241183554
train loss: 3.2940189838409424
train per: 0.9107869100539109
train loss: 3.249467372894287
train per: 0.9146381812166187
train loss: 3.202683210372925
train per: 0.9101446302184839
train loss: 3.1695151329040527
train per: 0.911843178761218
train loss: 3.193147659301758
train per: 0.8987699934524366
train loss: 3.169722318649292
train per: 0.906348831720557
train loss: 3.1678085327148438
train per: 0.912785290119482
train loss: 3.1228115558624268
train per: 0.8978731987180923
train loss: 3.148834705352783
train per: 0.9050662357060653
train loss: 3.1554038524627686
train per: 0.9108497174049562
train loss: 3.1450905799865723
train per: 0.9024955932832359
train loss: 3.222900390625
train per: 0.9208732498157701
train loss: 3.183051824569702
train per: 0.9140336924300484
train loss: 3.159637928009033
train per: 0.9066687938736439
train loss: 3.1659421920776367
train per: 0.9037441110835607
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 333/2703 [00:00<00:00, 3329.78it/s]


word -> phonemes:  25%|██▌       | 677/2703 [00:00<00:00, 3390.68it/s]


word -> phonemes:  38%|███▊      | 1018/2703 [00:00<00:00, 3398.12it/s]


word -> phonemes:  51%|█████     | 1370/2703 [00:00<00:00, 3443.88it/s]


word -> phonemes:  63%|██████▎   | 1715/2703 [00:00<00:00, 3423.13it/s]


word -> phonemes:  77%|███████▋  | 2078/2703 [00:00<00:00, 3489.87it/s]


word -> phonemes:  90%|████████▉ | 2428/2703 [00:00<00:00, 3480.45it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3432.24it/s]



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


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dev:   2%|▏         | 63/2703 [00:06<02:59, 14.74it/s]


dev:   2%|▏         | 65/2703 [00:06<03:02, 14.46it/s]


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dev:   3%|▎         | 69/2703 [00:06<02:56, 14.94it/s]


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dev:   6%|▌         | 163/2703 [00:12<02:45, 15.39it/s]


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dev:   6%|▋         | 173/2703 [00:13<02:26, 17.26it/s]


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dev:   7%|▋         | 178/2703 [00:13<02:26, 17.28it/s]


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train:  84%|████████▍ | 2952/3515 [26:43<04:17,  2.19it/s]
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overall:  74%|███████▍  | 2963/4000 [26:51<07:36,  2.27it/s]

train:  84%|████████▍ | 2963/3515 [26:48<04:03,  2.27it/s]
overall:  74%|███████▍  | 2964/4000 [26:52<08:19,  2.07it/s]

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overall:  74%|███████▍  | 2965/4000 [26:52<08:23,  2.06it/s]

train:  84%|████████▍ | 2965/3515 [26:49<04:27,  2.06it/s]
overall:  74%|███████▍  | 2966/4000 [26:53<08:16,  2.08it/s]

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train:  84%|████████▍ | 2967/3515 [26:50<04:21,  2.09it/s]
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train:  85%|████████▍ | 2983/3515 [26:57<04:30,  1.97it/s]
overall:  75%|███████▍  | 2984/4000 [27:01<08:46,  1.93it/s]

train:  85%|████████▍ | 2984/3515 [26:58<04:34,  1.93it/s]
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train:  85%|████████▍ | 2985/3515 [26:58<04:29,  1.97it/s]
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train:  85%|████████▍ | 2987/3515 [26:59<04:24,  2.00it/s]
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overall:  75%|███████▍  | 2995/4000 [27:06<07:45,  2.16it/s]

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train:  85%|████████▌ | 2996/3515 [27:03<04:05,  2.12it/s]
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train:  85%|████████▌ | 2997/3515 [27:03<03:17,  2.62it/s]
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train:  85%|████████▌ | 2998/3515 [27:04<02:55,  2.95it/s]
overall:  75%|███████▍  | 2999/4000 [27:07<06:18,  2.64it/s]

train:  85%|████████▌ | 2999/3515 [27:04<03:15,  2.64it/s]dev loss: 3.365028142929077
dev per: 0.9141363163371488
train loss: 3.129854917526245
train per: 0.9083976543124029
train loss: 3.178110361099243
train per: 0.9179261384718134
train loss: 3.217888355255127
train per: 0.9177124370581022
train loss: 3.2510809898376465
train per: 0.903794960688417
train loss: 3.188894033432007
train per: 0.9112379898385231
train loss: 3.2228379249572754
train per: 0.9179915888809108
train loss: 3.1944580078125
train per: 0.9035655512890839
train loss: 3.2097606658935547
train per: 0.909766134698384
train loss: 3.1866068840026855
train per: 0.908052651955091
train loss: 3.1711041927337646
train per: 0.9202074066792815
train loss: 3.161757707595825
train per: 0.9098967145634991
train loss: 3.2440738677978516
train per: 0.9144569130903262
train loss: 3.172248363494873
train per: 0.9110947324780616
train loss: 3.1718077659606934
train per: 0.9213952781436823
train loss: 3.2037854194641113
train per: 0.9089005520354608
train loss: 3.185767412185669
train per: 0.9177914762461473
train loss: 3.142324924468994
train per: 0.9153692816229719
train loss: 3.1558501720428467
train per: 0.9176445487518669
train loss: 3.1491854190826416
train per: 0.9090601376509083
train loss: 3.178567409515381
train per: 0.9151529829660128
train loss: 3.201622724533081
train per: 0.9230561090202445
train loss: 3.2062981128692627
train per: 0.915853433990057
train loss: 3.166057586669922
train per: 0.9076260155303201
train loss: 3.1545004844665527
train per: 0.9185838569357178
train loss: 3.2884554862976074
train per: 0.9025914832660503
train loss: 3.651322841644287
train per: 0.8731399939265108
train loss: 3.573854923248291
train per: 0.8664022662889519
train loss: 3.4572913646698
train per: 0.9002326858218516
train loss: 3.337217330932617
train per: 0.9040933065894065
train loss: 3.2371208667755127
train per: 0.910107150216361
train loss: 3.220512866973877
train per: 0.9138387702895434
train loss: 3.220912218093872
train per: 0.9007768875940763
train loss: 3.1889166831970215
train per: 0.9046553794711187
train loss: 3.181400775909424
train per: 0.9085227737903556
train loss: 3.191843032836914
train per: 0.903308981521272
train loss: 3.1799087524414062
train per: 0.9055234786163201
train loss: 3.2891764640808105
train per: 0.9144371717976157
train loss: 3.1831676959991455
train per: 0.9050110396467314
train loss: 3.257361650466919
train per: 0.9164237123420796
train loss: 3.36090087890625
train per: 0.9097512211171007
train loss: 3.547356128692627
train per: 0.8896944221414065
train loss: 3.715740203857422
train per: 0.89765135162915
train loss: 3.4350154399871826
train per: 0.9048203282621735
train loss: 3.4253928661346436
train per: 0.8929678370001525
train loss: 4.123444557189941
train per: 0.8875851041881576
train loss: 4.167912483215332
train per: 0.868932527693857
train loss: 3.703890323638916
train per: 0.9009470308965722
train loss: 3.847749710083008
train per: 0.8922576889492578
train loss: 4.00101900100708
train per: 0.8914049669038969
train loss: 3.883455991744995
train per: 0.9053884551388711
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 276/2703 [00:00<00:00, 2754.14it/s]


word -> phonemes:  20%|██        | 552/2703 [00:00<00:00, 2724.01it/s]


word -> phonemes:  31%|███       | 837/2703 [00:00<00:00, 2779.16it/s]


word -> phonemes:  41%|████▏     | 1119/2703 [00:00<00:00, 2794.50it/s]


word -> phonemes:  52%|█████▏    | 1405/2703 [00:00<00:00, 2817.75it/s]


word -> phonemes:  63%|██████▎   | 1710/2703 [00:00<00:00, 2895.59it/s]


word -> phonemes:  74%|███████▍  | 2001/2703 [00:00<00:00, 2898.49it/s]


word -> phonemes:  85%|████████▌ | 2298/2703 [00:00<00:00, 2913.61it/s]


word -> phonemes:  96%|█████████▌| 2590/2703 [00:00<00:00, 2855.02it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2836.32it/s]



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


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dev:   3%|▎         | 69/2703 [00:06<02:45, 15.88it/s]


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overall:  75%|███████▍  | 2999/4000 [28:43<06:18,  2.64it/s]

train:  85%|████████▌ | 2999/3515 [28:39<03:15,  2.64it/s]
                                                            

                                                          

overall:  75%|███████▍  | 2999/4000 [28:43<06:18,  2.64it/s]

train:  85%|████████▌ | 2999/3515 [28:39<03:15,  2.64it/s]
overall:  75%|███████▌  | 3000/4000 [28:43<8:00:47, 28.85s/it]

train:  85%|████████▌ | 3000/3515 [28:39<4:07:36, 28.85s/it]
overall:  75%|███████▌  | 3001/4000 [28:43<5:38:59, 20.36s/it]

train:  85%|████████▌ | 3001/3515 [28:40<2:54:24, 20.36s/it]
overall:  75%|███████▌  | 3002/4000 [28:44<3:59:29, 14.40s/it]

train:  85%|████████▌ | 3002/3515 [28:40<2:03:06, 14.40s/it]
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overall:  76%|███████▋  | 3052/4000 [29:07<05:55,  2.67it/s]

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overall:  76%|███████▋  | 3053/4000 [29:07<05:58,  2.64it/s]

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overall:  76%|███████▋  | 3054/4000 [29:07<06:15,  2.52it/s]

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overall:  76%|███████▋  | 3056/4000 [29:08<06:48,  2.31it/s]

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overall:  76%|███████▋  | 3057/4000 [29:09<07:07,  2.20it/s]

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overall:  76%|███████▋  | 3058/4000 [29:09<07:20,  2.14it/s]

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overall:  76%|███████▋  | 3059/4000 [29:10<07:23,  2.12it/s]

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overall:  76%|███████▋  | 3060/4000 [29:10<07:48,  2.01it/s]

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overall:  77%|███████▋  | 3061/4000 [29:11<07:15,  2.16it/s]

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overall:  77%|███████▋  | 3062/4000 [29:11<07:25,  2.11it/s]

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overall:  77%|███████▋  | 3063/4000 [29:12<07:07,  2.19it/s]

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overall:  77%|███████▋  | 3064/4000 [29:12<07:21,  2.12it/s]

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overall:  77%|███████▋  | 3065/4000 [29:13<07:25,  2.10it/s]

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overall:  77%|███████▋  | 3066/4000 [29:13<08:00,  1.95it/s]

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overall:  77%|███████▋  | 3067/4000 [29:14<07:18,  2.13it/s]

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overall:  77%|███████▋  | 3068/4000 [29:14<07:12,  2.15it/s]

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overall:  77%|███████▋  | 3069/4000 [29:15<07:19,  2.12it/s]

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overall:  77%|███████▋  | 3070/4000 [29:15<07:23,  2.10it/s]

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overall:  77%|███████▋  | 3071/4000 [29:15<06:35,  2.35it/s]

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overall:  77%|███████▋  | 3072/4000 [29:16<06:12,  2.49it/s]

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overall:  77%|███████▋  | 3073/4000 [29:16<06:48,  2.27it/s]

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overall:  77%|███████▋  | 3074/4000 [29:17<07:04,  2.18it/s]

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overall:  77%|███████▋  | 3075/4000 [29:17<07:13,  2.13it/s]

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overall:  77%|███████▋  | 3076/4000 [29:17<05:51,  2.63it/s]

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overall:  77%|███████▋  | 3077/4000 [29:18<06:39,  2.31it/s]

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overall:  77%|███████▋  | 3078/4000 [29:19<06:53,  2.23it/s]

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overall:  77%|███████▋  | 3079/4000 [29:19<06:33,  2.34it/s]

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overall:  77%|███████▋  | 3080/4000 [29:19<06:46,  2.26it/s]

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overall:  77%|███████▋  | 3081/4000 [29:20<07:04,  2.17it/s]

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overall:  77%|███████▋  | 3082/4000 [29:20<07:10,  2.13it/s]

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overall:  77%|███████▋  | 3083/4000 [29:21<07:16,  2.10it/s]

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overall:  77%|███████▋  | 3084/4000 [29:21<07:46,  1.96it/s]

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overall:  77%|███████▋  | 3085/4000 [29:22<07:50,  1.95it/s]

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overall:  77%|███████▋  | 3086/4000 [29:22<06:37,  2.30it/s]

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overall:  77%|███████▋  | 3087/4000 [29:23<06:50,  2.22it/s]

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overall:  77%|███████▋  | 3088/4000 [29:23<07:06,  2.14it/s]

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overall:  77%|███████▋  | 3089/4000 [29:24<07:07,  2.13it/s]

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overall:  77%|███████▋  | 3090/4000 [29:24<06:06,  2.48it/s]

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overall:  77%|███████▋  | 3091/4000 [29:24<06:32,  2.31it/s]

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overall:  77%|███████▋  | 3092/4000 [29:25<06:52,  2.20it/s]

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overall:  77%|███████▋  | 3093/4000 [29:25<06:55,  2.18it/s]

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overall:  77%|███████▋  | 3094/4000 [29:26<07:07,  2.12it/s]

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overall:  77%|███████▋  | 3095/4000 [29:26<07:15,  2.08it/s]

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overall:  77%|███████▋  | 3096/4000 [29:27<06:01,  2.50it/s]

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overall:  77%|███████▋  | 3097/4000 [29:27<05:59,  2.51it/s]

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overall:  77%|███████▋  | 3098/4000 [29:28<06:27,  2.33it/s]

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overall:  77%|███████▋  | 3099/4000 [29:28<06:39,  2.25it/s]

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overall:  78%|███████▊  | 3100/4000 [29:28<06:33,  2.29it/s]

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overall:  78%|███████▊  | 3101/4000 [29:29<05:49,  2.57it/s]

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overall:  78%|███████▊  | 3102/4000 [29:29<06:15,  2.39it/s]

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overall:  78%|███████▊  | 3103/4000 [29:30<06:04,  2.46it/s]

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overall:  78%|███████▊  | 3106/4000 [29:31<06:55,  2.15it/s]

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overall:  78%|███████▊  | 3107/4000 [29:32<07:02,  2.12it/s]

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overall:  78%|███████▊  | 3108/4000 [29:32<07:34,  1.96it/s]

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overall:  78%|███████▊  | 3109/4000 [29:33<07:32,  1.97it/s]

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overall:  88%|████████▊ | 3515/4000 [32:39<03:53,  2.08it/s]

train: 100%|██████████| 3515/3515 [32:35<00:00,  2.08it/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 [32:36<00:00,  1.80it/s]
dev loss: 4.0161590576171875
dev per: 0.8855046826222684
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.7167000770568848
train per: 0.9129118950197322
train loss: 3.5860953330993652
train per: 0.9278089104140782
train loss: 3.7142951488494873
train per: 0.9261216509010199
train loss: 3.7231860160827637
train per: 0.9208896186282558
train loss: 3.594069719314575
train per: 0.9207739509105305
train loss: 3.44138765335083
train per: 0.9315184513006655
train loss: 3.413090229034424
train per: 0.9280333876221498
train loss: 3.368338108062744
train per: 0.9244171215754299
train loss: 3.5537123680114746
train per: 0.9086720508407256
train loss: 3.494123935699463
train per: 0.8994103592643738
train loss: 3.5820250511169434
train per: 0.9118642275563075
train loss: 3.500605821609497
train per: 0.9143311218183194
train loss: 3.456878662109375
train per: 0.9105362182502352
train loss: 3.455533504486084
train per: 0.9121526579792457
train loss: 3.553027391433716
train per: 0.8983106737012987
train loss: 3.3489181995391846
train per: 0.9192020084766352
train loss: 3.2876346111297607
train per: 0.9066243287897563
train loss: 3.290160655975342
train per: 0.9104331852954171
train loss: 3.225198268890381
train per: 0.9102874792112141
train loss: 3.241957902908325
train per: 0.9062225712569871
train loss: 3.1802587509155273
train per: 0.9102880275464148
train loss: 3.1897778511047363
train per: 0.8972360367253251
train loss: 3.1255099773406982
train per: 0.9036435099225966
train loss: 3.1669154167175293
train per: 0.9047974811889642
train loss: 3.396543502807617
train per: 0.901084407971864
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 263/3515 [00:00<00:01, 2617.37it/s]

word -> phonemes:  15%|█▍        | 526/3515 [00:00<00:01, 2622.23it/s]

word -> phonemes:  23%|██▎       | 795/3515 [00:00<00:01, 2649.36it/s]

word -> phonemes:  30%|███       | 1060/3515 [00:00<00:00, 2627.59it/s]

word -> phonemes:  38%|███▊      | 1329/3515 [00:00<00:00, 2649.09it/s]

word -> phonemes:  45%|████▌     | 1596/3515 [00:00<00:00, 2655.93it/s]

word -> phonemes:  53%|█████▎    | 1862/3515 [00:00<00:00, 2604.04it/s]

word -> phonemes:  61%|██████    | 2137/3515 [00:00<00:00, 2646.95it/s]

word -> phonemes:  68%|██████▊   | 2402/3515 [00:00<00:00, 2595.75it/s]

word -> phonemes:  76%|███████▌  | 2662/3515 [00:01<00:00, 2587.86it/s]

word -> phonemes:  83%|████████▎ | 2924/3515 [00:01<00:00, 2597.40it/s]

word -> phonemes:  91%|█████████ | 3184/3515 [00:01<00:00, 2587.19it/s]

word -> phonemes:  98%|█████████▊| 3443/3515 [00:01<00:00, 2570.59it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2609.24it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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train:   0%|          | 1/3515 [00:01<1:49:21,  1.87s/it]
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overall:  88%|████████▊ | 3518/4000 [32:44<08:04,  1.00s/it]

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train:   0%|          | 9/3515 [00:05<27:35,  2.12it/s]
overall:  88%|████████▊ | 3525/4000 [32:47<03:44,  2.12it/s]

train:   0%|          | 10/3515 [00:05<25:35,  2.28it/s]
overall:  88%|████████▊ | 3526/4000 [32:47<03:00,  2.63it/s]

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overall:  88%|████████▊ | 3528/4000 [32:48<03:11,  2.46it/s]

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overall:  88%|████████▊ | 3529/4000 [32:48<03:25,  2.29it/s]

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overall:  88%|████████▊ | 3530/4000 [32:49<03:20,  2.35it/s]

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overall:  88%|████████▊ | 3531/4000 [32:49<03:22,  2.32it/s]

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overall:  88%|████████▊ | 3532/4000 [32:50<03:31,  2.22it/s]

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overall:  88%|████████▊ | 3533/4000 [32:50<03:22,  2.31it/s]

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overall:  88%|████████▊ | 3534/4000 [32:51<03:31,  2.20it/s]

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overall:  88%|████████▊ | 3535/4000 [32:51<03:41,  2.10it/s]

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overall:  88%|████████▊ | 3536/4000 [32:52<03:41,  2.09it/s]

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overall:  88%|████████▊ | 3537/4000 [32:52<02:57,  2.61it/s]

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overall:  88%|████████▊ | 3538/4000 [32:52<03:08,  2.45it/s]

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overall:  88%|████████▊ | 3539/4000 [32:53<03:19,  2.31it/s]

train:   1%|          | 24/3515 [00:11<25:09,  2.31it/s]
overall:  88%|████████▊ | 3540/4000 [32:53<03:38,  2.11it/s]

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overall:  89%|████████▊ | 3541/4000 [32:54<03:41,  2.07it/s]

train:   1%|          | 26/3515 [00:12<28:01,  2.08it/s]
overall:  89%|████████▊ | 3542/4000 [32:54<03:39,  2.08it/s]

train:   1%|          | 27/3515 [00:12<27:54,  2.08it/s]
overall:  89%|████████▊ | 3543/4000 [32:54<02:58,  2.56it/s]

train:   1%|          | 28/3515 [00:13<22:41,  2.56it/s]
overall:  89%|████████▊ | 3544/4000 [32:55<03:10,  2.39it/s]

train:   1%|          | 29/3515 [00:13<24:19,  2.39it/s]
overall:  89%|████████▊ | 3545/4000 [32:55<02:37,  2.89it/s]

train:   1%|          | 30/3515 [00:13<20:04,  2.89it/s]
overall:  89%|████████▊ | 3546/4000 [32:56<02:57,  2.55it/s]

train:   1%|          | 31/3515 [00:14<22:45,  2.55it/s]
overall:  89%|████████▊ | 3547/4000 [32:56<03:19,  2.27it/s]

train:   1%|          | 32/3515 [00:14<25:31,  2.27it/s]
overall:  89%|████████▊ | 3548/4000 [32:57<03:26,  2.18it/s]

train:   1%|          | 33/3515 [00:15<26:33,  2.18it/s]
overall:  89%|████████▊ | 3549/4000 [32:57<03:28,  2.16it/s]

train:   1%|          | 34/3515 [00:15<26:50,  2.16it/s]
overall:  89%|████████▉ | 3550/4000 [32:58<03:22,  2.22it/s]

train:   1%|          | 35/3515 [00:16<26:07,  2.22it/s]
overall:  89%|████████▉ | 3551/4000 [32:58<03:30,  2.14it/s]

train:   1%|          | 36/3515 [00:16<27:07,  2.14it/s]
overall:  89%|████████▉ | 3552/4000 [32:59<03:42,  2.01it/s]

train:   1%|          | 37/3515 [00:17<28:47,  2.01it/s]
overall:  89%|████████▉ | 3553/4000 [32:59<03:43,  2.00it/s]

train:   1%|          | 38/3515 [00:17<29:00,  2.00it/s]
overall:  89%|████████▉ | 3554/4000 [33:00<03:43,  2.00it/s]

train:   1%|          | 39/3515 [00:18<29:01,  2.00it/s]
overall:  89%|████████▉ | 3555/4000 [33:00<02:59,  2.49it/s]

train:   1%|          | 40/3515 [00:18<23:18,  2.49it/s]
overall:  89%|████████▉ | 3556/4000 [33:00<03:08,  2.35it/s]

train:   1%|          | 41/3515 [00:18<24:38,  2.35it/s]
overall:  89%|████████▉ | 3557/4000 [33:01<03:16,  2.25it/s]

train:   1%|          | 42/3515 [00:19<25:44,  2.25it/s]
overall:  89%|████████▉ | 3558/4000 [33:01<03:22,  2.18it/s]

train:   1%|          | 43/3515 [00:19<26:30,  2.18it/s]
overall:  89%|████████▉ | 3559/4000 [33:01<02:58,  2.48it/s]

train:   1%|▏         | 44/3515 [00:20<23:21,  2.48it/s]
overall:  89%|████████▉ | 3560/4000 [33:02<03:09,  2.32it/s]

train:   1%|▏         | 45/3515 [00:20<24:52,  2.32it/s]
overall:  89%|████████▉ | 3561/4000 [33:02<03:17,  2.22it/s]

train:   1%|▏         | 46/3515 [00:21<26:04,  2.22it/s]
overall:  89%|████████▉ | 3562/4000 [33:03<03:25,  2.13it/s]

train:   1%|▏         | 47/3515 [00:21<27:06,  2.13it/s]
overall:  89%|████████▉ | 3563/4000 [33:03<02:58,  2.45it/s]

train:   1%|▏         | 48/3515 [00:21<23:33,  2.45it/s]
overall:  89%|████████▉ | 3564/4000 [33:04<03:31,  2.06it/s]

train:   1%|▏         | 49/3515 [00:22<27:59,  2.06it/s]
overall:  89%|████████▉ | 3565/4000 [33:04<02:59,  2.43it/s]

train:   1%|▏         | 50/3515 [00:22<23:47,  2.43it/s]
overall:  89%|████████▉ | 3566/4000 [33:05<03:10,  2.28it/s]

train:   1%|▏         | 51/3515 [00:23<25:17,  2.28it/s]
overall:  89%|████████▉ | 3567/4000 [33:05<03:11,  2.26it/s]

train:   1%|▏         | 52/3515 [00:23<25:29,  2.26it/s]
overall:  89%|████████▉ | 3568/4000 [33:05<02:36,  2.77it/s]

train:   2%|▏         | 53/3515 [00:23<20:50,  2.77it/s]
overall:  89%|████████▉ | 3569/4000 [33:06<02:51,  2.52it/s]

train:   2%|▏         | 54/3515 [00:24<22:54,  2.52it/s]
overall:  89%|████████▉ | 3570/4000 [33:06<03:01,  2.37it/s]

train:   2%|▏         | 55/3515 [00:24<24:20,  2.37it/s]
overall:  89%|████████▉ | 3571/4000 [33:07<03:18,  2.17it/s]

train:   2%|▏         | 56/3515 [00:25<26:37,  2.17it/s]
overall:  89%|████████▉ | 3572/4000 [33:07<03:23,  2.10it/s]

train:   2%|▏         | 57/3515 [00:25<27:24,  2.10it/s]
overall:  89%|████████▉ | 3573/4000 [33:08<03:24,  2.09it/s]

train:   2%|▏         | 58/3515 [00:26<27:33,  2.09it/s]
overall:  89%|████████▉ | 3574/4000 [33:08<03:26,  2.06it/s]

train:   2%|▏         | 59/3515 [00:26<27:56,  2.06it/s]
overall:  89%|████████▉ | 3575/4000 [33:09<03:26,  2.06it/s]

train:   2%|▏         | 60/3515 [00:27<27:55,  2.06it/s]
overall:  89%|████████▉ | 3576/4000 [33:09<03:46,  1.87it/s]

train:   2%|▏         | 61/3515 [00:28<30:43,  1.87it/s]
overall:  89%|████████▉ | 3577/4000 [33:10<03:34,  1.97it/s]

train:   2%|▏         | 62/3515 [00:28<29:08,  1.97it/s]
overall:  89%|████████▉ | 3578/4000 [33:10<03:32,  1.99it/s]

train:   2%|▏         | 63/3515 [00:29<28:57,  1.99it/s]
overall:  89%|████████▉ | 3579/4000 [33:11<03:33,  1.97it/s]

train:   2%|▏         | 64/3515 [00:29<29:08,  1.97it/s]
overall:  90%|████████▉ | 3580/4000 [33:11<03:32,  1.97it/s]

train:   2%|▏         | 65/3515 [00:30<29:07,  1.97it/s]
overall:  90%|████████▉ | 3581/4000 [33:12<03:31,  1.98it/s]

train:   2%|▏         | 66/3515 [00:30<29:00,  1.98it/s]
overall:  90%|████████▉ | 3582/4000 [33:12<03:31,  1.97it/s]

train:   2%|▏         | 67/3515 [00:31<29:08,  1.97it/s]
overall:  90%|████████▉ | 3583/4000 [33:13<03:32,  1.96it/s]

train:   2%|▏         | 68/3515 [00:31<29:17,  1.96it/s]
overall:  90%|████████▉ | 3584/4000 [33:13<02:55,  2.37it/s]

train:   2%|▏         | 69/3515 [00:31<24:16,  2.37it/s]
overall:  90%|████████▉ | 3585/4000 [33:13<02:15,  3.07it/s]

train:   2%|▏         | 70/3515 [00:31<18:43,  3.07it/s]
overall:  90%|████████▉ | 3586/4000 [33:14<02:35,  2.66it/s]

train:   2%|▏         | 71/3515 [00:32<21:35,  2.66it/s]
overall:  90%|████████▉ | 3587/4000 [33:14<02:47,  2.46it/s]

train:   2%|▏         | 72/3515 [00:32<23:18,  2.46it/s]
overall:  90%|████████▉ | 3588/4000 [33:15<03:15,  2.11it/s]

train:   2%|▏         | 73/3515 [00:33<27:10,  2.11it/s]
overall:  90%|████████▉ | 3589/4000 [33:15<03:19,  2.06it/s]

train:   2%|▏         | 74/3515 [00:34<27:51,  2.06it/s]
overall:  90%|████████▉ | 3590/4000 [33:16<03:20,  2.05it/s]

train:   2%|▏         | 75/3515 [00:34<28:00,  2.05it/s]
overall:  90%|████████▉ | 3591/4000 [33:16<03:10,  2.15it/s]

train:   2%|▏         | 76/3515 [00:34<26:40,  2.15it/s]
overall:  90%|████████▉ | 3592/4000 [33:17<03:02,  2.24it/s]

train:   2%|▏         | 77/3515 [00:35<25:37,  2.24it/s]
overall:  90%|████████▉ | 3593/4000 [33:17<03:08,  2.15it/s]

train:   2%|▏         | 78/3515 [00:35<26:35,  2.15it/s]
overall:  90%|████████▉ | 3594/4000 [33:18<03:09,  2.15it/s]

train:   2%|▏         | 79/3515 [00:36<26:41,  2.15it/s]
overall:  90%|████████▉ | 3595/4000 [33:18<03:00,  2.25it/s]

train:   2%|▏         | 80/3515 [00:36<25:27,  2.25it/s]
overall:  90%|████████▉ | 3596/4000 [33:18<02:58,  2.26it/s]

train:   2%|▏         | 81/3515 [00:37<25:20,  2.26it/s]
overall:  90%|████████▉ | 3597/4000 [33:19<03:06,  2.16it/s]

train:   2%|▏         | 82/3515 [00:37<26:31,  2.16it/s]
overall:  90%|████████▉ | 3598/4000 [33:19<03:03,  2.19it/s]

train:   2%|▏         | 83/3515 [00:38<26:06,  2.19it/s]
overall:  90%|████████▉ | 3599/4000 [33:20<02:53,  2.31it/s]

train:   2%|▏         | 84/3515 [00:38<24:44,  2.31it/s]
overall:  90%|█████████ | 3600/4000 [33:20<03:20,  2.00it/s]

train:   2%|▏         | 85/3515 [00:39<28:37,  2.00it/s]
overall:  90%|█████████ | 3601/4000 [33:21<03:20,  1.99it/s]

train:   2%|▏         | 86/3515 [00:39<28:39,  1.99it/s]
overall:  90%|█████████ | 3602/4000 [33:21<03:13,  2.06it/s]

train:   2%|▏         | 87/3515 [00:40<27:44,  2.06it/s]
overall:  90%|█████████ | 3603/4000 [33:22<03:14,  2.04it/s]

train:   3%|▎         | 88/3515 [00:40<28:00,  2.04it/s]
overall:  90%|█████████ | 3604/4000 [33:22<03:13,  2.04it/s]

train:   3%|▎         | 89/3515 [00:41<27:57,  2.04it/s]
overall:  90%|█████████ | 3606/4000 [33:23<02:28,  2.66it/s]

train:   3%|▎         | 91/3515 [00:41<21:27,  2.66it/s]
overall:  90%|█████████ | 3607/4000 [33:23<02:41,  2.44it/s]

train:   3%|▎         | 92/3515 [00:42<23:24,  2.44it/s]
overall:  90%|█████████ | 3608/4000 [33:24<02:36,  2.51it/s]

train:   3%|▎         | 93/3515 [00:42<22:43,  2.51it/s]
overall:  90%|█████████ | 3609/4000 [33:24<02:42,  2.41it/s]

train:   3%|▎         | 94/3515 [00:42<23:38,  2.41it/s]
overall:  90%|█████████ | 3610/4000 [33:25<02:48,  2.31it/s]

train:   3%|▎         | 95/3515 [00:43<24:38,  2.31it/s]
overall:  90%|█████████ | 3611/4000 [33:25<02:55,  2.21it/s]

train:   3%|▎         | 96/3515 [00:43<25:44,  2.21it/s]
overall:  90%|█████████ | 3612/4000 [33:26<03:14,  2.00it/s]

train:   3%|▎         | 97/3515 [00:44<28:30,  2.00it/s]
overall:  90%|█████████ | 3613/4000 [33:26<03:07,  2.06it/s]

train:   3%|▎         | 98/3515 [00:44<27:39,  2.06it/s]
overall:  90%|█████████ | 3614/4000 [33:27<03:06,  2.07it/s]

train:   3%|▎         | 99/3515 [00:45<27:30,  2.07it/s]
overall:  90%|█████████ | 3615/4000 [33:27<03:08,  2.04it/s]

train:   3%|▎         | 100/3515 [00:45<27:51,  2.04it/s]
overall:  90%|█████████ | 3616/4000 [33:28<03:10,  2.02it/s]

train:   3%|▎         | 101/3515 [00:46<28:11,  2.02it/s]
overall:  90%|█████████ | 3617/4000 [33:28<03:07,  2.04it/s]

train:   3%|▎         | 102/3515 [00:46<27:52,  2.04it/s]
overall:  90%|█████████ | 3618/4000 [33:29<03:10,  2.01it/s]

train:   3%|▎         | 103/3515 [00:47<28:19,  2.01it/s]
overall:  90%|█████████ | 3619/4000 [33:29<03:14,  1.96it/s]

train:   3%|▎         | 104/3515 [00:47<28:57,  1.96it/s]
overall:  90%|█████████ | 3620/4000 [33:30<03:13,  1.97it/s]

train:   3%|▎         | 105/3515 [00:48<28:53,  1.97it/s]
overall:  91%|█████████ | 3621/4000 [33:30<03:12,  1.97it/s]

train:   3%|▎         | 106/3515 [00:48<28:48,  1.97it/s]
overall:  91%|█████████ | 3622/4000 [33:31<03:07,  2.02it/s]

train:   3%|▎         | 107/3515 [00:49<28:10,  2.02it/s]
overall:  91%|█████████ | 3623/4000 [33:31<03:05,  2.03it/s]

train:   3%|▎         | 108/3515 [00:49<27:58,  2.03it/s]
overall:  91%|█████████ | 3624/4000 [33:32<03:18,  1.90it/s]

train:   3%|▎         | 109/3515 [00:50<29:56,  1.90it/s]
overall:  91%|█████████ | 3625/4000 [33:32<03:14,  1.93it/s]

train:   3%|▎         | 110/3515 [00:51<29:26,  1.93it/s]
overall:  91%|█████████ | 3626/4000 [33:33<03:03,  2.04it/s]

train:   3%|▎         | 111/3515 [00:51<27:49,  2.04it/s]
overall:  91%|█████████ | 3627/4000 [33:33<03:04,  2.02it/s]

train:   3%|▎         | 112/3515 [00:51<28:01,  2.02it/s]
overall:  91%|█████████ | 3628/4000 [33:33<02:28,  2.50it/s]

train:   3%|▎         | 113/3515 [00:52<22:41,  2.50it/s]
overall:  91%|█████████ | 3629/4000 [33:34<02:37,  2.35it/s]

train:   3%|▎         | 114/3515 [00:52<24:07,  2.35it/s]
overall:  91%|█████████ | 3630/4000 [33:34<02:43,  2.27it/s]

train:   3%|▎         | 115/3515 [00:53<25:00,  2.27it/s]
overall:  91%|█████████ | 3631/4000 [33:35<02:45,  2.23it/s]

train:   3%|▎         | 116/3515 [00:53<25:21,  2.23it/s]
overall:  91%|█████████ | 3632/4000 [33:35<02:48,  2.18it/s]

train:   3%|▎         | 117/3515 [00:54<25:58,  2.18it/s]
overall:  91%|█████████ | 3633/4000 [33:36<02:53,  2.11it/s]

train:   3%|▎         | 118/3515 [00:54<26:50,  2.11it/s]
overall:  91%|█████████ | 3634/4000 [33:36<02:56,  2.08it/s]

train:   3%|▎         | 119/3515 [00:55<27:14,  2.08it/s]
overall:  91%|█████████ | 3635/4000 [33:37<02:55,  2.08it/s]

train:   3%|▎         | 120/3515 [00:55<27:15,  2.08it/s]
overall:  91%|█████████ | 3636/4000 [33:37<03:08,  1.93it/s]

train:   3%|▎         | 121/3515 [00:56<29:17,  1.93it/s]
overall:  91%|█████████ | 3637/4000 [33:38<03:06,  1.94it/s]

train:   3%|▎         | 122/3515 [00:56<29:05,  1.94it/s]
overall:  91%|█████████ | 3638/4000 [33:38<03:01,  2.00it/s]

train:   3%|▎         | 123/3515 [00:57<28:18,  2.00it/s]
overall:  91%|█████████ | 3639/4000 [33:39<03:01,  1.99it/s]

train:   4%|▎         | 124/3515 [00:57<28:21,  1.99it/s]
overall:  91%|█████████ | 3640/4000 [33:39<03:00,  2.00it/s]

train:   4%|▎         | 125/3515 [00:58<28:17,  2.00it/s]
overall:  91%|█████████ | 3641/4000 [33:40<02:59,  2.00it/s]

train:   4%|▎         | 126/3515 [00:58<28:16,  2.00it/s]
overall:  91%|█████████ | 3642/4000 [33:40<02:58,  2.00it/s]

train:   4%|▎         | 127/3515 [00:59<28:12,  2.00it/s]
overall:  91%|█████████ | 3643/4000 [33:41<02:59,  1.99it/s]

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train:   5%|▍         | 160/3515 [01:13<23:58,  2.33it/s]
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train:   5%|▍         | 164/3515 [01:15<26:52,  2.08it/s]
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train:   5%|▍         | 165/3515 [01:15<27:03,  2.06it/s]
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train:   5%|▍         | 166/3515 [01:16<27:40,  2.02it/s]
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train:   5%|▍         | 167/3515 [01:16<22:11,  2.51it/s]
overall:  92%|█████████▏| 3683/4000 [33:58<02:13,  2.37it/s]

train:   5%|▍         | 168/3515 [01:16<23:30,  2.37it/s]
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train:   5%|▍         | 169/3515 [01:17<26:16,  2.12it/s]
overall:  92%|█████████▏| 3685/4000 [33:59<02:25,  2.16it/s]

train:   5%|▍         | 170/3515 [01:17<25:46,  2.16it/s]
overall:  92%|█████████▏| 3686/4000 [34:00<02:26,  2.14it/s]

train:   5%|▍         | 171/3515 [01:18<25:59,  2.14it/s]
overall:  92%|█████████▏| 3687/4000 [34:00<02:16,  2.30it/s]

train:   5%|▍         | 172/3515 [01:18<24:14,  2.30it/s]
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train:   5%|▍         | 173/3515 [01:18<23:55,  2.33it/s]
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train:   5%|▍         | 174/3515 [01:19<25:02,  2.22it/s]
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train:   5%|▍         | 175/3515 [01:19<25:56,  2.15it/s]
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train:   5%|▌         | 176/3515 [01:20<27:09,  2.05it/s]
overall:  92%|█████████▏| 3692/4000 [34:02<02:31,  2.04it/s]

train:   5%|▌         | 177/3515 [01:21<27:19,  2.04it/s]
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train:   5%|▌         | 179/3515 [01:22<27:49,  2.00it/s]
overall:  92%|█████████▏| 3695/4000 [34:04<02:11,  2.32it/s]

train:   5%|▌         | 180/3515 [01:22<23:56,  2.32it/s]
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train:   5%|▌         | 181/3515 [01:22<24:44,  2.25it/s]
overall:  92%|█████████▏| 3697/4000 [34:04<01:45,  2.89it/s]

train:   5%|▌         | 182/3515 [01:22<19:15,  2.89it/s]
overall:  92%|█████████▏| 3698/4000 [34:05<01:59,  2.53it/s]

train:   5%|▌         | 183/3515 [01:23<21:56,  2.53it/s]
overall:  92%|█████████▏| 3699/4000 [34:05<02:07,  2.35it/s]

train:   5%|▌         | 184/3515 [01:23<23:35,  2.35it/s]
overall:  92%|█████████▎| 3700/4000 [34:06<02:08,  2.33it/s]

train:   5%|▌         | 185/3515 [01:24<23:51,  2.33it/s]
overall:  93%|█████████▎| 3701/4000 [34:06<02:14,  2.22it/s]

train:   5%|▌         | 186/3515 [01:24<24:58,  2.22it/s]
overall:  93%|█████████▎| 3702/4000 [34:07<02:07,  2.34it/s]

train:   5%|▌         | 187/3515 [01:25<23:44,  2.34it/s]
overall:  93%|█████████▎| 3703/4000 [34:07<02:17,  2.15it/s]

train:   5%|▌         | 188/3515 [01:25<25:43,  2.15it/s]
overall:  93%|█████████▎| 3704/4000 [34:08<02:18,  2.14it/s]

train:   5%|▌         | 189/3515 [01:26<25:53,  2.14it/s]
overall:  93%|█████████▎| 3705/4000 [34:08<02:11,  2.25it/s]

train:   5%|▌         | 190/3515 [01:26<24:37,  2.25it/s]
overall:  93%|█████████▎| 3706/4000 [34:08<02:16,  2.16it/s]

train:   5%|▌         | 191/3515 [01:27<25:40,  2.16it/s]
overall:  93%|█████████▎| 3707/4000 [34:09<01:54,  2.56it/s]

train:   5%|▌         | 192/3515 [01:27<21:36,  2.56it/s]
overall:  93%|█████████▎| 3708/4000 [34:09<02:05,  2.32it/s]

train:   5%|▌         | 193/3515 [01:27<23:50,  2.32it/s]
overall:  93%|█████████▎| 3709/4000 [34:10<02:04,  2.35it/s]

train:   6%|▌         | 194/3515 [01:28<23:35,  2.35it/s]
overall:  93%|█████████▎| 3710/4000 [34:10<01:53,  2.56it/s]

train:   6%|▌         | 195/3515 [01:28<21:36,  2.56it/s]
overall:  93%|█████████▎| 3711/4000 [34:10<02:01,  2.38it/s]

train:   6%|▌         | 196/3515 [01:29<23:11,  2.38it/s]
overall:  93%|█████████▎| 3712/4000 [34:11<02:06,  2.28it/s]

train:   6%|▌         | 197/3515 [01:29<24:16,  2.28it/s]
overall:  93%|█████████▎| 3713/4000 [34:11<02:09,  2.22it/s]

train:   6%|▌         | 198/3515 [01:30<24:52,  2.22it/s]
overall:  93%|█████████▎| 3714/4000 [34:12<02:07,  2.24it/s]

train:   6%|▌         | 199/3515 [01:30<24:39,  2.24it/s]
overall:  93%|█████████▎| 3715/4000 [34:12<01:54,  2.50it/s]

train:   6%|▌         | 200/3515 [01:30<22:07,  2.50it/s]
overall:  93%|█████████▎| 3716/4000 [34:13<02:00,  2.36it/s]

train:   6%|▌         | 201/3515 [01:31<23:25,  2.36it/s]
overall:  93%|█████████▎| 3717/4000 [34:13<01:59,  2.37it/s]

train:   6%|▌         | 202/3515 [01:31<23:19,  2.37it/s]
overall:  93%|█████████▎| 3718/4000 [34:13<02:03,  2.28it/s]

train:   6%|▌         | 203/3515 [01:32<24:10,  2.28it/s]
overall:  93%|█████████▎| 3719/4000 [34:14<02:09,  2.18it/s]

train:   6%|▌         | 204/3515 [01:32<25:21,  2.18it/s]
overall:  93%|█████████▎| 3720/4000 [34:15<02:22,  1.97it/s]

train:   6%|▌         | 205/3515 [01:33<28:03,  1.97it/s]
overall:  93%|█████████▎| 3721/4000 [34:15<02:21,  1.97it/s]

train:   6%|▌         | 206/3515 [01:33<27:56,  1.97it/s]
overall:  93%|█████████▎| 3722/4000 [34:16<02:19,  1.99it/s]

train:   6%|▌         | 207/3515 [01:34<27:41,  1.99it/s]
overall:  93%|█████████▎| 3723/4000 [34:16<02:19,  1.99it/s]

train:   6%|▌         | 208/3515 [01:34<27:40,  1.99it/s]
overall:  93%|█████████▎| 3724/4000 [34:17<02:16,  2.03it/s]

train:   6%|▌         | 209/3515 [01:35<27:11,  2.03it/s]
overall:  93%|█████████▎| 3725/4000 [34:17<02:15,  2.04it/s]

train:   6%|▌         | 210/3515 [01:35<27:02,  2.04it/s]
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train:   6%|▌         | 211/3515 [01:36<27:06,  2.03it/s]
overall:  93%|█████████▎| 3727/4000 [34:18<02:18,  1.97it/s]

train:   6%|▌         | 212/3515 [01:36<27:57,  1.97it/s]
overall:  93%|█████████▎| 3728/4000 [34:19<02:13,  2.04it/s]

train:   6%|▌         | 213/3515 [01:37<27:01,  2.04it/s]
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train:   6%|▌         | 214/3515 [01:37<27:00,  2.04it/s]
overall:  93%|█████████▎| 3730/4000 [34:19<02:07,  2.11it/s]

train:   6%|▌         | 215/3515 [01:38<26:01,  2.11it/s]
overall:  93%|█████████▎| 3731/4000 [34:20<02:04,  2.16it/s]

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train:   6%|▌         | 218/3515 [01:39<27:52,  1.97it/s]
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train:   6%|▌         | 219/3515 [01:40<27:40,  1.98it/s]
overall:  93%|█████████▎| 3735/4000 [34:22<02:11,  2.02it/s]

train:   6%|▋         | 220/3515 [01:40<27:15,  2.02it/s]
overall:  93%|█████████▎| 3736/4000 [34:23<02:10,  2.02it/s]

train:   6%|▋         | 221/3515 [01:41<27:11,  2.02it/s]
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train:   6%|▋         | 223/3515 [01:42<26:28,  2.07it/s]
overall:  93%|█████████▎| 3739/4000 [34:24<02:04,  2.10it/s]

train:   6%|▋         | 224/3515 [01:42<26:10,  2.10it/s]
overall:  94%|█████████▎| 3740/4000 [34:24<02:05,  2.07it/s]

train:   6%|▋         | 225/3515 [01:43<26:32,  2.07it/s]
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overall:  94%|█████████▎| 3744/4000 [34:26<01:52,  2.27it/s]

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train:  13%|█▎        | 474/3515 [03:38<24:33,  2.06it/s]
overall: 100%|█████████▉| 3990/4000 [36:21<00:04,  2.03it/s]

train:  14%|█▎        | 475/3515 [03:39<24:58,  2.03it/s]
overall: 100%|█████████▉| 3991/4000 [36:21<00:04,  2.02it/s]

train:  14%|█▎        | 476/3515 [03:40<25:00,  2.02it/s]
overall: 100%|█████████▉| 3992/4000 [36:22<00:03,  2.51it/s]

train:  14%|█▎        | 477/3515 [03:40<20:10,  2.51it/s]
overall: 100%|█████████▉| 3993/4000 [36:22<00:03,  2.30it/s]

train:  14%|█▎        | 478/3515 [03:40<22:02,  2.30it/s]
overall: 100%|█████████▉| 3994/4000 [36:22<00:02,  2.42it/s]

train:  14%|█▎        | 479/3515 [03:41<20:55,  2.42it/s]
overall: 100%|█████████▉| 3995/4000 [36:23<00:01,  3.07it/s]

train:  14%|█▎        | 480/3515 [03:41<16:29,  3.07it/s]
overall: 100%|█████████▉| 3996/4000 [36:23<00:01,  2.37it/s]

train:  14%|█▎        | 481/3515 [03:41<21:19,  2.37it/s]
overall: 100%|█████████▉| 3997/4000 [36:24<00:01,  2.28it/s]

train:  14%|█▎        | 482/3515 [03:42<22:12,  2.28it/s]
overall: 100%|█████████▉| 3998/4000 [36:24<00:00,  2.17it/s]

train:  14%|█▎        | 483/3515 [03:42<23:17,  2.17it/s]
overall: 100%|█████████▉| 3999/4000 [36:25<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [03:43<23:01,  2.19it/s]train loss: 3.256254196166992
train per: 0.8976732854184432
train loss: 3.277595043182373
train per: 0.908680585888588
train loss: 3.1988213062286377
train per: 0.9148232059669578
train loss: 3.184180498123169
train per: 0.904468085106383
train loss: 3.1984097957611084
train per: 0.9176661510764004
train loss: 3.178663969039917
train per: 0.9137888260394958
train loss: 3.117584228515625
train per: 0.9141709695926563
train loss: 3.2045013904571533
train per: 0.9135228955025779
train loss: 3.2315781116485596
train per: 0.9087018544935807
train loss: 3.201270341873169
train per: 0.9057772729619495
train loss: 3.1608734130859375
train per: 0.904245074308321
train loss: 3.130906581878662
train per: 0.9139446675591254
train loss: 3.171912431716919
train per: 0.9157908002520478
train loss: 3.2051479816436768
train per: 0.9079067582030332
train loss: 3.1972873210906982
train per: 0.9025531586660839
train loss: 3.164546489715576
train per: 0.9059080407240968
train loss: 3.15614914894104
train per: 0.9192650608344417
train loss: 3.15330171585083
train per: 0.9045728953748158
train loss: 3.1560325622558594
train per: 0.9210786006809099
train loss: 3.1086413860321045
train per: 0.9056899170463839
train loss: 3.204936981201172
train per: 0.9143518518518519
train loss: 3.105888843536377
train per: 0.9053827487315244
train loss: 3.165738582611084
train per: 0.9112747551297633
train loss: 3.1393370628356934
train per: 0.9095263567399339
train loss: 3.147113084793091
train per: 0.9003071283499282
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 283/2703 [00:00<00:00, 2825.60it/s]


word -> phonemes:  21%|██        | 566/2703 [00:00<00:00, 2740.21it/s]


word -> phonemes:  31%|███▏      | 851/2703 [00:00<00:00, 2785.22it/s]


word -> phonemes:  42%|████▏     | 1130/2703 [00:00<00:00, 2735.45it/s]


word -> phonemes:  52%|█████▏    | 1407/2703 [00:00<00:00, 2746.30it/s]


word -> phonemes:  63%|██████▎   | 1694/2703 [00:00<00:00, 2786.53it/s]


word -> phonemes:  74%|███████▎  | 1987/2703 [00:00<00:00, 2832.95it/s]


word -> phonemes:  85%|████████▍ | 2289/2703 [00:00<00:00, 2890.66it/s]


word -> phonemes:  95%|█████████▌| 2579/2703 [00:00<00:00, 2851.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2811.81it/s]



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overall: 100%|█████████▉| 3999/4000 [38:03<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [05:22<23:01,  2.19it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [38:03<00:00,  2.19it/s]

train:  14%|█▍        | 484/3515 [05:22<23:01,  2.19it/s]
overall: 100%|██████████| 4000/4000 [38:03<00:00, 29.96s/it]

train:  14%|█▍        | 485/3515 [05:22<25:13:13, 29.96s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [05:22<33:34,  1.50it/s]   

overall: 100%|██████████| 4000/4000 [38:04<00:00,  1.75it/s]
dev loss: 3.3588969707489014
dev per: 0.9207127991675338
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt