/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")
2023-10-05 19:45:39 | 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')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_25hz_2nd_iter_1x {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_2nd_iter_1x
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


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%|█▊        | 653/3515 [00:00<00:01, 2273.41it/s]

word -> phonemes:  26%|██▌       | 904/3515 [00:00<00:01, 2365.32it/s]

word -> phonemes:  33%|███▎      | 1149/3515 [00:00<00:00, 2393.91it/s]

word -> phonemes:  40%|███▉      | 1389/3515 [00:00<00:00, 2387.73it/s]

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word -> phonemes:  68%|██████▊   | 2379/3515 [00:01<00:00, 2243.35it/s]

word -> phonemes:  74%|███████▍  | 2606/3515 [00:01<00:00, 2226.91it/s]

word -> phonemes:  81%|████████  | 2831/3515 [00:01<00:00, 2175.53it/s]

word -> phonemes:  88%|████████▊ | 3091/3515 [00:01<00:00, 2296.27it/s]

word -> phonemes:  95%|█████████▌| 3347/3515 [00:01<00:00, 2370.30it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2232.34it/s]


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train:   4%|▍         | 134/3515 [00:29<11:24,  4.94it/s]
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train:   4%|▍         | 135/3515 [00:29<11:08,  5.06it/s]
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train:   4%|▍         | 136/3515 [00:29<11:07,  5.07it/s]
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train:   4%|▍         | 137/3515 [00:29<11:12,  5.03it/s]
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train:   4%|▍         | 138/3515 [00:29<10:47,  5.22it/s]
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train:   4%|▍         | 140/3515 [00:30<11:20,  4.96it/s]
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train:   4%|▍         | 143/3515 [00:30<13:48,  4.07it/s]
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train:   4%|▍         | 144/3515 [00:31<13:24,  4.19it/s]
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train:   4%|▍         | 145/3515 [00:31<13:16,  4.23it/s]
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train:   4%|▍         | 146/3515 [00:31<12:57,  4.33it/s]
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train:   4%|▍         | 147/3515 [00:31<11:49,  4.75it/s]
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train:   4%|▍         | 148/3515 [00:31<11:18,  4.96it/s]
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train:   4%|▍         | 149/3515 [00:32<11:36,  4.83it/s]
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train:   4%|▍         | 151/3515 [00:32<09:59,  5.61it/s]
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train:   4%|▍         | 152/3515 [00:32<10:12,  5.49it/s]
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train:   4%|▍         | 153/3515 [00:32<10:36,  5.28it/s]
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train:   4%|▍         | 154/3515 [00:33<10:53,  5.15it/s]
overall:   4%|▍         | 155/4000 [00:36<12:47,  5.01it/s]

train:   4%|▍         | 155/3515 [00:33<11:11,  5.01it/s]
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train:   4%|▍         | 157/3515 [00:33<10:08,  5.52it/s]
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train:   4%|▍         | 158/3515 [00:33<10:33,  5.30it/s]
overall:   4%|▍         | 159/4000 [00:36<12:36,  5.08it/s]

train:   5%|▍         | 159/3515 [00:34<11:00,  5.08it/s]
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train:   5%|▍         | 160/3515 [00:34<11:15,  4.97it/s]
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train:   5%|▍         | 161/3515 [00:34<11:24,  4.90it/s]
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train:   5%|▍         | 162/3515 [00:34<11:23,  4.90it/s]
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train:   5%|▍         | 163/3515 [00:34<11:37,  4.81it/s]
overall:   4%|▍         | 164/4000 [00:37<13:19,  4.80it/s]

train:   5%|▍         | 164/3515 [00:35<11:38,  4.80it/s]
overall:   4%|▍         | 165/4000 [00:38<13:14,  4.83it/s]

train:   5%|▍         | 165/3515 [00:35<11:33,  4.83it/s]
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train:   5%|▍         | 166/3515 [00:35<11:29,  4.86it/s]
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train:   5%|▍         | 167/3515 [00:35<14:18,  3.90it/s]
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train:   5%|▍         | 168/3515 [00:36<13:39,  4.08it/s]
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train:   5%|▍         | 169/3515 [00:36<16:24,  3.40it/s]
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train:   5%|▍         | 170/3515 [00:36<14:52,  3.75it/s]
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train:   5%|▍         | 171/3515 [00:36<13:35,  4.10it/s]
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train:   5%|▍         | 173/3515 [00:37<09:56,  5.61it/s]
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train:   5%|▍         | 174/3515 [00:37<10:20,  5.38it/s]
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train:   5%|▍         | 175/3515 [00:37<10:41,  5.21it/s]
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train:   5%|▌         | 176/3515 [00:37<10:58,  5.07it/s]
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train:   5%|▌         | 177/3515 [00:37<11:37,  4.78it/s]
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train:   5%|▌         | 178/3515 [00:38<11:47,  4.72it/s]
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train:   5%|▌         | 179/3515 [00:38<11:48,  4.71it/s]
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train:   5%|▌         | 180/3515 [00:38<11:37,  4.78it/s]
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train:   5%|▌         | 181/3515 [00:38<11:37,  4.78it/s]
overall:   5%|▍         | 182/4000 [00:41<13:12,  4.82it/s]

train:   5%|▌         | 182/3515 [00:39<11:31,  4.82it/s]
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train:   5%|▌         | 183/3515 [00:39<11:37,  4.78it/s]
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train:   5%|▌         | 184/3515 [00:39<10:17,  5.40it/s]
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train:   5%|▌         | 185/3515 [00:39<10:28,  5.30it/s]
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train:   5%|▌         | 186/3515 [00:39<10:53,  5.09it/s]
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train:   5%|▌         | 187/3515 [00:39<11:04,  5.01it/s]
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train:   5%|▌         | 188/3515 [00:40<11:05,  5.00it/s]
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train:   5%|▌         | 189/3515 [00:40<11:18,  4.90it/s]
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train:   5%|▌         | 190/3515 [00:40<11:28,  4.83it/s]
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train:   5%|▌         | 191/3515 [00:40<14:06,  3.93it/s]
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train:   5%|▌         | 192/3515 [00:41<13:23,  4.13it/s]
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train:   5%|▌         | 193/3515 [00:41<15:29,  3.57it/s]
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train:   6%|▌         | 194/3515 [00:41<14:16,  3.88it/s]
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train:   6%|▌         | 195/3515 [00:41<12:48,  4.32it/s]
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train:   6%|▌         | 197/3515 [00:42<10:10,  5.43it/s]
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train:   6%|▌         | 198/3515 [00:42<10:24,  5.31it/s]
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train:   6%|▌         | 200/3515 [00:42<09:15,  5.97it/s]
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overall:   9%|▉         | 372/4000 [01:22<12:22,  4.89it/s]

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overall:   9%|▉         | 373/4000 [01:22<12:31,  4.82it/s]

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overall:   9%|▉         | 374/4000 [01:22<12:05,  5.00it/s]

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overall:   9%|▉         | 375/4000 [01:22<10:34,  5.71it/s]

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overall:   9%|▉         | 377/4000 [01:23<09:28,  6.37it/s]

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overall:   9%|▉         | 378/4000 [01:23<10:25,  5.79it/s]

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overall:   9%|▉         | 379/4000 [01:23<11:13,  5.37it/s]

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overall:  10%|▉         | 380/4000 [01:23<11:52,  5.08it/s]

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overall:  10%|▉         | 381/4000 [01:24<12:06,  4.98it/s]

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overall:  10%|▉         | 382/4000 [01:24<11:58,  5.03it/s]

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overall:  10%|▉         | 383/4000 [01:24<15:11,  3.97it/s]

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overall:  10%|▉         | 384/4000 [01:24<14:40,  4.11it/s]

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overall:  10%|▉         | 385/4000 [01:25<17:12,  3.50it/s]

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overall:  10%|▉         | 386/4000 [01:25<15:36,  3.86it/s]

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overall:  10%|▉         | 387/4000 [01:25<14:14,  4.23it/s]

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overall:  10%|▉         | 388/4000 [01:25<13:31,  4.45it/s]

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overall:  10%|▉         | 389/4000 [01:26<13:24,  4.49it/s]

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overall:  10%|▉         | 390/4000 [01:26<12:46,  4.71it/s]

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overall:  10%|▉         | 391/4000 [01:26<12:36,  4.77it/s]

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overall:  10%|▉         | 392/4000 [01:26<12:48,  4.69it/s]

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overall:  10%|▉         | 395/4000 [01:27<12:38,  4.75it/s]

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overall:  10%|▉         | 396/4000 [01:27<12:32,  4.79it/s]

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overall:  10%|▉         | 397/4000 [01:27<12:46,  4.70it/s]

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overall:  10%|█         | 403/4000 [01:28<11:47,  5.09it/s]

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overall:  10%|█         | 404/4000 [01:29<12:13,  4.90it/s]

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overall:  10%|█         | 405/4000 [01:29<12:16,  4.88it/s]

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overall:  10%|█         | 406/4000 [01:29<12:21,  4.85it/s]

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overall:  10%|█         | 407/4000 [01:29<15:11,  3.94it/s]

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overall:  10%|█         | 408/4000 [01:30<14:23,  4.16it/s]

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overall:  10%|█         | 409/4000 [01:30<17:33,  3.41it/s]

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overall:  10%|█         | 410/4000 [01:30<16:12,  3.69it/s]

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overall:  10%|█         | 411/4000 [01:30<14:38,  4.09it/s]

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overall:  10%|█         | 412/4000 [01:31<14:12,  4.21it/s]

train:  12%|█▏        | 412/3515 [01:28<12:17,  4.21it/s]
overall:  10%|█         | 413/4000 [01:31<13:28,  4.44it/s]

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overall:  10%|█         | 414/4000 [01:31<13:06,  4.56it/s]

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overall:  10%|█         | 415/4000 [01:31<12:29,  4.78it/s]

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overall:  10%|█         | 417/4000 [01:32<11:02,  5.41it/s]

train:  12%|█▏        | 417/3515 [01:29<09:33,  5.41it/s]
overall:  10%|█         | 418/4000 [01:32<11:21,  5.26it/s]

train:  12%|█▏        | 418/3515 [01:29<09:49,  5.26it/s]
overall:  10%|█         | 419/4000 [01:32<11:34,  5.15it/s]

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overall:  10%|█         | 420/4000 [01:32<11:57,  4.99it/s]

train:  12%|█▏        | 420/3515 [01:29<10:20,  4.99it/s]
overall:  11%|█         | 421/4000 [01:32<12:18,  4.84it/s]

train:  12%|█▏        | 421/3515 [01:30<10:38,  4.84it/s]
overall:  11%|█         | 422/4000 [01:33<12:26,  4.79it/s]

train:  12%|█▏        | 422/3515 [01:30<10:45,  4.79it/s]
overall:  11%|█         | 423/4000 [01:33<12:31,  4.76it/s]

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overall:  11%|█         | 424/4000 [01:33<11:24,  5.22it/s]

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overall:  11%|█         | 425/4000 [01:33<11:48,  5.05it/s]

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overall:  11%|█         | 426/4000 [01:33<11:54,  5.00it/s]

train:  12%|█▏        | 426/3515 [01:31<10:17,  5.00it/s]
overall:  11%|█         | 428/4000 [01:34<10:28,  5.69it/s]

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overall:  11%|█         | 429/4000 [01:34<10:54,  5.45it/s]

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overall:  11%|█         | 430/4000 [01:34<11:19,  5.26it/s]

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overall:  11%|█         | 431/4000 [01:34<14:42,  4.04it/s]

train:  12%|█▏        | 431/3515 [01:32<12:42,  4.04it/s]
overall:  11%|█         | 432/4000 [01:35<14:20,  4.15it/s]

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overall:  11%|█         | 433/4000 [01:35<17:18,  3.44it/s]

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overall:  11%|█         | 434/4000 [01:35<15:59,  3.72it/s]

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overall:  11%|█         | 435/4000 [01:36<14:49,  4.01it/s]

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overall:  11%|█         | 436/4000 [01:36<13:47,  4.30it/s]

train:  12%|█▏        | 436/3515 [01:33<11:55,  4.30it/s]
overall:  11%|█         | 437/4000 [01:36<13:51,  4.29it/s]

train:  12%|█▏        | 437/3515 [01:33<11:58,  4.29it/s]
overall:  11%|█         | 438/4000 [01:36<13:22,  4.44it/s]

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overall:  11%|█         | 439/4000 [01:36<13:06,  4.53it/s]

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overall:  11%|█         | 440/4000 [01:37<12:03,  4.92it/s]

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overall:  11%|█         | 441/4000 [01:37<12:20,  4.80it/s]

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overall:  11%|█         | 442/4000 [01:37<12:02,  4.92it/s]

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overall:  11%|█         | 443/4000 [01:37<11:51,  5.00it/s]

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overall:  11%|█         | 444/4000 [01:37<12:12,  4.86it/s]

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overall:  11%|█         | 445/4000 [01:38<12:17,  4.82it/s]

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overall:  11%|█         | 446/4000 [01:38<12:31,  4.73it/s]

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overall:  11%|█         | 447/4000 [01:38<12:42,  4.66it/s]

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overall:  11%|█         | 448/4000 [01:38<12:47,  4.63it/s]

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overall:  11%|█         | 449/4000 [01:38<13:11,  4.49it/s]

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overall:  11%|█▏        | 450/4000 [01:39<12:39,  4.67it/s]

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overall:  11%|█▏        | 451/4000 [01:39<12:22,  4.78it/s]

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overall:  11%|█▏        | 452/4000 [01:39<12:22,  4.78it/s]

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overall:  11%|█▏        | 453/4000 [01:39<12:22,  4.78it/s]

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overall:  11%|█▏        | 454/4000 [01:40<12:35,  4.70it/s]

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overall:  11%|█▏        | 455/4000 [01:40<16:01,  3.69it/s]

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overall:  11%|█▏        | 456/4000 [01:40<15:03,  3.92it/s]

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overall:  11%|█▏        | 457/4000 [01:41<17:55,  3.30it/s]

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overall:  11%|█▏        | 458/4000 [01:41<16:19,  3.62it/s]

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overall:  11%|█▏        | 459/4000 [01:41<14:52,  3.97it/s]

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overall:  12%|█▏        | 460/4000 [01:41<14:29,  4.07it/s]

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overall:  12%|█▏        | 461/4000 [01:41<13:51,  4.25it/s]

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overall:  12%|█▏        | 463/4000 [01:42<12:53,  4.57it/s]

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overall:  12%|█▏        | 465/4000 [01:42<11:03,  5.33it/s]

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overall:  12%|█▏        | 467/4000 [01:42<09:58,  5.91it/s]

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overall:  12%|█▏        | 468/4000 [01:43<10:33,  5.57it/s]

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overall:  12%|█▏        | 469/4000 [01:43<11:05,  5.30it/s]

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overall:  12%|█▏        | 470/4000 [01:43<11:34,  5.09it/s]

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overall:  12%|█▏        | 471/4000 [01:43<11:32,  5.09it/s]

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overall:  12%|█▏        | 472/4000 [01:43<12:02,  4.89it/s]

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overall:  12%|█▏        | 473/4000 [01:44<12:12,  4.82it/s]

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overall:  12%|█▏        | 474/4000 [01:44<12:22,  4.75it/s]

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overall:  25%|██▍       | 989/4000 [03:34<11:17,  4.45it/s]

train:  28%|██▊       | 989/3515 [03:31<09:28,  4.45it/s]
overall:  25%|██▍       | 990/4000 [03:34<10:47,  4.65it/s]

train:  28%|██▊       | 990/3515 [03:31<09:03,  4.65it/s]
overall:  25%|██▍       | 991/4000 [03:34<10:51,  4.62it/s]

train:  28%|██▊       | 991/3515 [03:32<09:06,  4.62it/s]
overall:  25%|██▍       | 992/4000 [03:35<10:39,  4.71it/s]

train:  28%|██▊       | 992/3515 [03:32<08:56,  4.71it/s]
overall:  25%|██▍       | 993/4000 [03:35<10:38,  4.71it/s]

train:  28%|██▊       | 993/3515 [03:32<08:55,  4.71it/s]
overall:  25%|██▍       | 994/4000 [03:35<10:35,  4.73it/s]

train:  28%|██▊       | 994/3515 [03:32<08:53,  4.73it/s]
overall:  25%|██▍       | 995/4000 [03:35<10:39,  4.70it/s]

train:  28%|██▊       | 995/3515 [03:32<08:56,  4.70it/s]
overall:  25%|██▍       | 996/4000 [03:35<10:03,  4.98it/s]

train:  28%|██▊       | 996/3515 [03:33<08:25,  4.98it/s]
overall:  25%|██▍       | 997/4000 [03:36<10:13,  4.89it/s]

train:  28%|██▊       | 997/3515 [03:33<08:34,  4.89it/s]
overall:  25%|██▍       | 998/4000 [03:36<10:23,  4.81it/s]

train:  28%|██▊       | 998/3515 [03:33<08:43,  4.81it/s]
overall:  25%|██▍       | 999/4000 [03:36<10:07,  4.94it/s]

train:  28%|██▊       | 999/3515 [03:33<08:29,  4.94it/s]train loss: 4.202914237976074
train per: 0.9143071441965123
train loss: 2.549168109893799
train per: 0.6488069358839927
train loss: 2.2374982833862305
train per: 0.5864288866391506
train loss: 2.1569437980651855
train per: 0.5663500471109527
train loss: 2.1195662021636963
train per: 0.5553001810837164
train loss: 2.0738894939422607
train per: 0.5533745630545845
train loss: 2.0016536712646484
train per: 0.5332715386867012
train loss: 2.0817487239837646
train per: 0.5458435207823961
train loss: 1.9646902084350586
train per: 0.5210208748965987
train loss: 1.946143388748169
train per: 0.5187174568374897
train loss: 1.965116262435913
train per: 0.5334772649482636
train loss: 1.9710686206817627
train per: 0.5267812902586463
train loss: 2.016519069671631
train per: 0.533647280433247
train loss: 1.9695484638214111
train per: 0.520257105104029
train loss: 1.8931524753570557
train per: 0.5096654187563279
train loss: 1.9171981811523438
train per: 0.5124243834341554
train loss: 1.8874127864837646
train per: 0.5079304365565076
train loss: 1.9127757549285889
train per: 0.5154506557789648
train loss: 1.961098074913025
train per: 0.5161272551990084
train loss: 1.8913824558258057
train per: 0.5144504304919189
train loss: 1.8749443292617798
train per: 0.5039088510197539
train loss: 1.9353526830673218
train per: 0.5160099450011301
train loss: 1.9333492517471313
train per: 0.507071017611665
train loss: 1.9260543584823608
train per: 0.5074096313198031
train loss: 1.8955442905426025
train per: 0.5022515493334522
train loss: 1.845189094543457
train per: 0.4957004519044545
train loss: 1.8931074142456055
train per: 0.5031792192429022
train loss: 1.8565845489501953
train per: 0.49818877725377625
train loss: 1.854444146156311
train per: 0.49383038795357104
train loss: 1.8718492984771729
train per: 0.5051953301471812
train loss: 1.9026329517364502
train per: 0.503806710377789
train loss: 1.847214937210083
train per: 0.48936951942389656
train loss: 1.8928899765014648
train per: 0.5046897954571138
train loss: 1.8752822875976562
train per: 0.5029884101657918
train loss: 1.856633186340332
train per: 0.4997274164531429
train loss: 1.8704774379730225
train per: 0.5068397053665381
train loss: 1.9217990636825562
train per: 0.5027207055070833
train loss: 1.9099805355072021
train per: 0.5065557965774885
train loss: 1.8884093761444092
train per: 0.5046689929719369
train loss: 1.892443299293518
train per: 0.5041461306673518
train loss: 1.8493478298187256
train per: 0.49745830023828436
train loss: 1.8533220291137695
train per: 0.5018843191872849
train loss: 1.8677232265472412
train per: 0.4979858883899936
train loss: 1.9036967754364014
train per: 0.5069098810035118
train loss: 1.8447414636611938
train per: 0.4911820360792229
train loss: 1.8602383136749268
train per: 0.498079561042524
train loss: 1.874834418296814
train per: 0.5070837642192347
train loss: 1.8814016580581665
train per: 0.5050079641478362
train loss: 1.8414690494537354
train per: 0.49323175135714453
train loss: 1.8153190612792969
train per: 0.48652321071225635
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 203/2703 [00:00<00:01, 2023.96it/s]


word -> phonemes:  17%|█▋        | 451/2703 [00:00<00:00, 2291.57it/s]


word -> phonemes:  26%|██▌       | 693/2703 [00:00<00:00, 2349.00it/s]


word -> phonemes:  35%|███▌      | 959/2703 [00:00<00:00, 2470.44it/s]


word -> phonemes:  45%|████▍     | 1215/2703 [00:00<00:00, 2497.08it/s]


word -> phonemes:  54%|█████▍    | 1465/2703 [00:00<00:00, 2430.54it/s]


word -> phonemes:  64%|██████▎   | 1723/2703 [00:00<00:00, 2478.15it/s]


word -> phonemes:  73%|███████▎  | 1972/2703 [00:00<00:00, 2331.96it/s]


word -> phonemes:  82%|████████▏ | 2226/2703 [00:00<00:00, 2391.69it/s]


word -> phonemes:  92%|█████████▏| 2492/2703 [00:01<00:00, 2470.05it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2435.92it/s]



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overall:  48%|████▊     | 1902/4000 [08:33<07:02,  4.96it/s]

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overall:  48%|████▊     | 1932/4000 [08:39<07:08,  4.82it/s]

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overall:  48%|████▊     | 1940/4000 [08:41<06:58,  4.92it/s]

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overall:  49%|████▊     | 1941/4000 [08:41<06:48,  5.04it/s]

train:  55%|█████▌    | 1941/3515 [08:38<05:12,  5.04it/s]
overall:  49%|████▊     | 1942/4000 [08:41<07:00,  4.90it/s]

train:  55%|█████▌    | 1942/3515 [08:38<05:21,  4.90it/s]
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train:  55%|█████▌    | 1943/3515 [08:39<08:16,  3.16it/s]
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train:  55%|█████▌    | 1945/3515 [08:39<06:21,  4.12it/s]
overall:  49%|████▊     | 1946/4000 [08:42<08:05,  4.23it/s]

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overall:  49%|████▉     | 1959/4000 [08:45<07:16,  4.68it/s]

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overall:  49%|████▉     | 1961/4000 [08:46<07:20,  4.63it/s]

train:  56%|█████▌    | 1961/3515 [08:43<05:35,  4.63it/s]
overall:  49%|████▉     | 1962/4000 [08:46<07:22,  4.60it/s]

train:  56%|█████▌    | 1962/3515 [08:43<05:37,  4.60it/s]
overall:  49%|████▉     | 1963/4000 [08:46<07:27,  4.56it/s]

train:  56%|█████▌    | 1963/3515 [08:43<05:40,  4.56it/s]
overall:  49%|████▉     | 1964/4000 [08:46<07:20,  4.62it/s]

train:  56%|█████▌    | 1964/3515 [08:43<05:35,  4.62it/s]
overall:  49%|████▉     | 1965/4000 [08:46<07:21,  4.61it/s]

train:  56%|█████▌    | 1965/3515 [08:44<05:36,  4.61it/s]
overall:  49%|████▉     | 1966/4000 [08:47<07:09,  4.74it/s]

train:  56%|█████▌    | 1966/3515 [08:44<05:27,  4.74it/s]
overall:  49%|████▉     | 1967/4000 [08:47<10:16,  3.30it/s]

train:  56%|█████▌    | 1967/3515 [08:44<07:49,  3.30it/s]
overall:  49%|████▉     | 1968/4000 [08:47<08:59,  3.77it/s]

train:  56%|█████▌    | 1968/3515 [08:44<06:50,  3.77it/s]
overall:  49%|████▉     | 1969/4000 [08:48<08:36,  3.93it/s]

train:  56%|█████▌    | 1969/3515 [08:45<06:33,  3.93it/s]
overall:  49%|████▉     | 1970/4000 [08:48<08:18,  4.08it/s]

train:  56%|█████▌    | 1970/3515 [08:45<06:19,  4.08it/s]
overall:  49%|████▉     | 1971/4000 [08:48<07:58,  4.24it/s]

train:  56%|█████▌    | 1971/3515 [08:45<06:04,  4.24it/s]
overall:  49%|████▉     | 1972/4000 [08:48<08:09,  4.15it/s]

train:  56%|█████▌    | 1972/3515 [08:45<06:12,  4.15it/s]
overall:  49%|████▉     | 1973/4000 [08:49<08:24,  4.02it/s]

train:  56%|█████▌    | 1973/3515 [08:46<06:23,  4.02it/s]
overall:  49%|████▉     | 1974/4000 [08:49<08:07,  4.16it/s]

train:  56%|█████▌    | 1974/3515 [08:46<06:10,  4.16it/s]
overall:  49%|████▉     | 1975/4000 [08:49<07:58,  4.24it/s]

train:  56%|█████▌    | 1975/3515 [08:46<06:03,  4.24it/s]
overall:  49%|████▉     | 1976/4000 [08:49<07:38,  4.41it/s]

train:  56%|█████▌    | 1976/3515 [08:46<05:48,  4.41it/s]
overall:  49%|████▉     | 1977/4000 [08:49<07:35,  4.45it/s]

train:  56%|█████▌    | 1977/3515 [08:47<05:45,  4.45it/s]
overall:  49%|████▉     | 1978/4000 [08:50<07:16,  4.63it/s]

train:  56%|█████▋    | 1978/3515 [08:47<05:32,  4.63it/s]
overall:  49%|████▉     | 1979/4000 [08:50<06:43,  5.01it/s]

train:  56%|█████▋    | 1979/3515 [08:47<05:06,  5.01it/s]
overall:  50%|████▉     | 1980/4000 [08:50<07:06,  4.73it/s]

train:  56%|█████▋    | 1980/3515 [08:47<05:24,  4.73it/s]
overall:  50%|████▉     | 1981/4000 [08:50<06:27,  5.21it/s]

train:  56%|█████▋    | 1981/3515 [08:47<04:54,  5.21it/s]
overall:  50%|████▉     | 1982/4000 [08:50<06:26,  5.23it/s]

train:  56%|█████▋    | 1982/3515 [08:47<04:53,  5.23it/s]
overall:  50%|████▉     | 1984/4000 [08:51<05:54,  5.69it/s]

train:  56%|█████▋    | 1984/3515 [08:48<04:29,  5.69it/s]
overall:  50%|████▉     | 1985/4000 [08:51<06:15,  5.37it/s]

train:  56%|█████▋    | 1985/3515 [08:48<04:45,  5.37it/s]
overall:  50%|████▉     | 1986/4000 [08:51<05:33,  6.04it/s]

train:  57%|█████▋    | 1986/3515 [08:48<04:12,  6.04it/s]
overall:  50%|████▉     | 1987/4000 [08:51<05:58,  5.61it/s]

train:  57%|█████▋    | 1987/3515 [08:48<04:32,  5.61it/s]
overall:  50%|████▉     | 1988/4000 [08:51<06:24,  5.23it/s]

train:  57%|█████▋    | 1988/3515 [08:49<04:51,  5.23it/s]
overall:  50%|████▉     | 1989/4000 [08:52<06:39,  5.03it/s]

train:  57%|█████▋    | 1989/3515 [08:49<05:03,  5.03it/s]
overall:  50%|████▉     | 1990/4000 [08:52<06:54,  4.85it/s]

train:  57%|█████▋    | 1990/3515 [08:49<05:14,  4.85it/s]
overall:  50%|████▉     | 1991/4000 [08:52<10:09,  3.30it/s]

train:  57%|█████▋    | 1991/3515 [08:50<07:42,  3.30it/s]
overall:  50%|████▉     | 1992/4000 [08:52<08:27,  3.96it/s]

train:  57%|█████▋    | 1992/3515 [08:50<06:24,  3.96it/s]
overall:  50%|████▉     | 1993/4000 [08:53<08:06,  4.13it/s]

train:  57%|█████▋    | 1993/3515 [08:50<06:08,  4.13it/s]
overall:  50%|████▉     | 1994/4000 [08:53<07:48,  4.28it/s]

train:  57%|█████▋    | 1994/3515 [08:50<05:55,  4.28it/s]
overall:  50%|████▉     | 1995/4000 [08:53<07:37,  4.38it/s]

train:  57%|█████▋    | 1995/3515 [08:50<05:46,  4.38it/s]
overall:  50%|████▉     | 1996/4000 [08:53<07:47,  4.29it/s]

train:  57%|█████▋    | 1996/3515 [08:51<05:54,  4.29it/s]
overall:  50%|████▉     | 1997/4000 [08:54<08:19,  4.01it/s]

train:  57%|█████▋    | 1997/3515 [08:51<06:18,  4.01it/s]
overall:  50%|████▉     | 1998/4000 [08:54<07:54,  4.22it/s]

train:  57%|█████▋    | 1998/3515 [08:51<05:59,  4.22it/s]
overall:  50%|████▉     | 1999/4000 [08:54<07:46,  4.29it/s]

train:  57%|█████▋    | 1999/3515 [08:51<05:53,  4.29it/s]dev loss: 2.1619889736175537
dev per: 0.5391467221644121
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.849674940109253
train per: 0.49849698133225556
train loss: 1.8314790725708008
train per: 0.4991514770584538
train loss: 1.911603331565857
train per: 0.5067253328469816
train loss: 1.8482849597930908
train per: 0.4984670271475556
train loss: 1.9066060781478882
train per: 0.501038062283737
train loss: 1.8673574924468994
train per: 0.49749391043657487
train loss: 1.838247537612915
train per: 0.49507644467478623
train loss: 1.8486108779907227
train per: 0.49264077962525743
train loss: 1.8445329666137695
train per: 0.49251703922596635
train loss: 1.845276117324829
train per: 0.49256689791873143
train loss: 1.8792518377304077
train per: 0.49756671356413035
train loss: 1.812609314918518
train per: 0.49031447756147045
train loss: 1.8632185459136963
train per: 0.49582384206529995
train loss: 1.8092916011810303
train per: 0.49059587217043943
train loss: 1.8311607837677002
train per: 0.4926972230229653
train loss: 1.8863909244537354
train per: 0.5000730531339794
train loss: 1.8560861349105835
train per: 0.4978273233989307
train loss: 1.8080419301986694
train per: 0.4900427338491188
train loss: 1.850717544555664
train per: 0.4943339470476882
train loss: 1.8533143997192383
train per: 0.4967600599561859
train loss: 1.8097282648086548
train per: 0.48794190525256986
train loss: 1.821921706199646
train per: 0.48794724630602027
train loss: 1.794213891029358
train per: 0.49140511190570785
train loss: 1.8698136806488037
train per: 0.49489359680790423
train loss: 1.8991609811782837
train per: 0.5110177109399674
train loss: 1.852608323097229
train per: 0.49097174362508617
train loss: 1.8325592279434204
train per: 0.4951094298838152
train loss: 1.8933271169662476
train per: 0.5010765408730629
train loss: 1.8679389953613281
train per: 0.49828154590727364
train loss: 1.868472695350647
train per: 0.4981656119961589
train loss: 1.8406356573104858
train per: 0.493035782993459
train loss: 1.8626610040664673
train per: 0.4999635222878821
train loss: 1.8446906805038452
train per: 0.491489852398524
train loss: 1.852557897567749
train per: 0.4961664281333061
train loss: 1.8104461431503296
train per: 0.48707489560956774
train loss: 1.8012769222259521
train per: 0.5001357425115381
train loss: 1.8723716735839844
train per: 0.5082289233382884
train loss: 1.8365510702133179
train per: 0.4969104399831253
train loss: 1.8087266683578491
train per: 0.49049823032943096
train loss: 1.8988876342773438
train per: 0.5004621926418932
train loss: 1.8685166835784912
train per: 0.4957065144090276
train loss: 1.854503870010376
train per: 0.4958854086303554
train loss: 1.832674264907837
train per: 0.49208325034853617
train loss: 1.7910375595092773
train per: 0.48445687222893996
train loss: 1.8380162715911865
train per: 0.4915384079671286
train loss: 1.8413736820220947
train per: 0.49385525716886663
train loss: 1.8251428604125977
train per: 0.49212481426448734
train loss: 1.8760236501693726
train per: 0.49765911092569415
train loss: 1.7998898029327393
train per: 0.482674801010438
train loss: 1.8390378952026367
train per: 0.48953164710153696
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 310/2703 [00:00<00:00, 3092.67it/s]


word -> phonemes:  23%|██▎       | 620/2703 [00:00<00:00, 3087.64it/s]


word -> phonemes:  35%|███▍      | 936/2703 [00:00<00:00, 3118.24it/s]


word -> phonemes:  46%|████▌     | 1248/2703 [00:00<00:00, 2912.79it/s]


word -> phonemes:  57%|█████▋    | 1542/2703 [00:00<00:00, 2424.79it/s]


word -> phonemes:  66%|██████▋   | 1796/2703 [00:00<00:00, 2349.86it/s]


word -> phonemes:  75%|███████▌  | 2039/2703 [00:00<00:00, 2254.50it/s]


word -> phonemes:  84%|████████▍ | 2270/2703 [00:00<00:00, 2208.22it/s]


word -> phonemes:  92%|█████████▏| 2494/2703 [00:01<00:00, 2132.32it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2340.05it/s]



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


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dev:   2%|▏         | 61/2703 [00:04<02:18, 19.03it/s]


dev:   2%|▏         | 63/2703 [00:04<02:18, 19.11it/s]


dev:   2%|▏         | 65/2703 [00:04<02:19, 18.88it/s]


dev:   2%|▏         | 67/2703 [00:04<02:21, 18.56it/s]


dev:   3%|▎         | 70/2703 [00:05<02:18, 18.98it/s]


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dev:   3%|▎         | 83/2703 [00:05<02:17, 19.11it/s]


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dev:   3%|▎         | 88/2703 [00:06<02:25, 17.99it/s]


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dev:   7%|▋         | 181/2703 [00:10<02:05, 20.16it/s]


dev:   7%|▋         | 184/2703 [00:10<02:03, 20.48it/s]


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train:  85%|████████▌ | 2995/3515 [14:16<01:51,  4.67it/s]
overall:  75%|███████▍  | 2996/4000 [14:19<03:38,  4.60it/s]

train:  85%|████████▌ | 2996/3515 [14:16<01:52,  4.60it/s]
overall:  75%|███████▍  | 2997/4000 [14:19<03:38,  4.60it/s]

train:  85%|████████▌ | 2997/3515 [14:16<01:52,  4.60it/s]
overall:  75%|███████▍  | 2998/4000 [14:19<03:32,  4.72it/s]

train:  85%|████████▌ | 2998/3515 [14:16<01:49,  4.72it/s]
overall:  75%|███████▍  | 2999/4000 [14:19<03:35,  4.64it/s]

train:  85%|████████▌ | 2999/3515 [14:17<01:51,  4.64it/s]dev loss: 2.175039768218994
dev per: 0.5384287200832466
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.788702368736267
train per: 0.48972833257047466
train loss: 1.7927219867706299
train per: 0.5012391232514594
train loss: 1.8230549097061157
train per: 0.4889553836422907
train loss: 1.8452749252319336
train per: 0.4925443563608909
train loss: 1.8159208297729492
train per: 0.4888744761524646
train loss: 1.8014732599258423
train per: 0.4830086505587297
train loss: 1.836792230606079
train per: 0.48833227796149065
train loss: 1.8626081943511963
train per: 0.4986379928315412
train loss: 1.7743241786956787
train per: 0.48172126758506545
train loss: 1.802032232284546
train per: 0.4846082422684094
train loss: 1.8210824728012085
train per: 0.4894168276831196
train loss: 1.8212311267852783
train per: 0.4906689781766266
train loss: 1.8883554935455322
train per: 0.5034217279726262
train loss: 1.8552182912826538
train per: 0.4937280116462453
train loss: 1.7938063144683838
train per: 0.49106382978723406
train loss: 1.8585023880004883
train per: 0.49597386226235496
train loss: 1.8432331085205078
train per: 0.4944361248704066
train loss: 1.8221286535263062
train per: 0.49143353961028996
train loss: 1.807865858078003
train per: 0.4842906409799025
train loss: 1.828870415687561
train per: 0.48985327866738865
train loss: 1.8086156845092773
train per: 0.4890985660216429
train loss: 1.8804428577423096
train per: 0.5014146272457207
train loss: 1.8861496448516846
train per: 0.5002035370211226
train loss: 1.8142036199569702
train per: 0.48908938313050776
train loss: 1.810577392578125
train per: 0.489788807890223
train loss: 1.7894436120986938
train per: 0.4838924895158216
train loss: 1.7813177108764648
train per: 0.482256274644063
train loss: 1.797032117843628
train per: 0.48407597486690007
train loss: 1.7995182275772095
train per: 0.48389255092431976
train loss: 1.866101861000061
train per: 0.4935968882924277
train loss: 1.7828471660614014
train per: 0.4826079697239537
train loss: 1.800170660018921
train per: 0.4891172445844414
train loss: 1.8134315013885498
train per: 0.49154043346539267
train loss: 1.8063243627548218
train per: 0.4876813955236973
train loss: 1.8462276458740234
train per: 0.49311878597592884
train loss: 1.8049827814102173
train per: 0.49021121711796173
train loss: 1.8610748052597046
train per: 0.5007027493527308
train loss: 1.7861967086791992
train per: 0.48376931096578524
train loss: 1.8010919094085693
train per: 0.4833209588459907
train loss: 1.7784570455551147
train per: 0.4809043843633544
train loss: 1.7635866403579712
train per: 0.48023666285487
train loss: 1.831861138343811
train per: 0.4983734718505693
train loss: 1.8054025173187256
train per: 0.4926162309397282
train loss: 1.8715254068374634
train per: 0.49285535221860116
train loss: 1.8043286800384521
train per: 0.4881205031316321
train loss: 1.8384462594985962
train per: 0.4911386076740408
train loss: 1.8256609439849854
train per: 0.488169687887259
train loss: 1.8543323278427124
train per: 0.4937863594177966
train loss: 1.8023245334625244
train per: 0.48824821387998285
train loss: 1.8615745306015015
train per: 0.5050054245980866
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 215/2703 [00:00<00:01, 2147.21it/s]


word -> phonemes:  16%|█▋        | 443/2703 [00:00<00:01, 2222.65it/s]


word -> phonemes:  25%|██▍       | 666/2703 [00:00<00:00, 2122.03it/s]


word -> phonemes:  33%|███▎      | 879/2703 [00:00<00:00, 2086.42it/s]


word -> phonemes:  40%|████      | 1088/2703 [00:00<00:00, 1908.89it/s]


word -> phonemes:  48%|████▊     | 1292/2703 [00:00<00:00, 1949.24it/s]


word -> phonemes:  56%|█████▌    | 1503/2703 [00:00<00:00, 1998.85it/s]


word -> phonemes:  63%|██████▎   | 1710/2703 [00:00<00:00, 2019.72it/s]


word -> phonemes:  73%|███████▎  | 1974/2703 [00:00<00:00, 2206.54it/s]


word -> phonemes:  84%|████████▍ | 2280/2703 [00:01<00:00, 2464.90it/s]


word -> phonemes:  94%|█████████▍| 2554/2703 [00:01<00:00, 2545.49it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2215.31it/s]



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


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overall:  87%|████████▋ | 3496/4000 [17:58<01:47,  4.68it/s]

train:  99%|█████████▉| 3496/3515 [17:55<00:04,  4.68it/s]
overall:  87%|████████▋ | 3497/4000 [17:58<01:56,  4.33it/s]

train:  99%|█████████▉| 3497/3515 [17:55<00:04,  4.33it/s]
overall:  87%|████████▋ | 3498/4000 [17:58<01:50,  4.53it/s]

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overall:  88%|████████▊ | 3508/4000 [18:00<01:41,  4.84it/s]

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overall:  88%|████████▊ | 3513/4000 [18:01<01:37,  5.02it/s]

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overall:  88%|████████▊ | 3514/4000 [18:01<01:33,  5.19it/s]

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overall:  88%|████████▊ | 3515/4000 [18:02<01:35,  5.10it/s]

train: 100%|██████████| 3515/3515 [17:59<00:00,  5.10it/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 [17:59<00:00,  3.26it/s]
dev loss: 2.163059949874878
dev per: 0.5386888657648283
train loss: 1.7567802667617798
train per: 0.4802102891475779
train loss: 1.7990728616714478
train per: 0.48583592598657277
train loss: 1.7806129455566406
train per: 0.4834258177570093
train loss: 1.7739452123641968
train per: 0.4760068551842331
train loss: 1.8040891885757446
train per: 0.4828745236348143
train loss: 1.8081209659576416
train per: 0.48992078805727635
train loss: 1.7689666748046875
train per: 0.47972598599707855
train loss: 1.8392126560211182
train per: 0.49110251915179753
train loss: 1.853894829750061
train per: 0.4960037845778453
train loss: 1.793924331665039
train per: 0.48632970377062434
train loss: 1.8307968378067017
train per: 0.49179787321737695
train loss: 1.8652156591415405
train per: 0.4965489623330428
train loss: 1.7712831497192383
train per: 0.4878349477921751
train loss: 1.8038785457611084
train per: 0.48709925981273494
train loss: 1.8220746517181396
train per: 0.4945540182513983
train loss: 1.8340234756469727
train per: 0.4917371384285747
train loss: 1.8314043283462524
train per: 0.48894838001098295
train loss: 1.8073326349258423
train per: 0.4891611687087653
train loss: 1.8392837047576904
train per: 0.49812842682412484
train loss: 1.8277528285980225
train per: 0.4939683747215128
train loss: 1.8560813665390015
train per: 0.502228580861718
train loss: 1.8541648387908936
train per: 0.49542259913379494
train loss: 1.8727203607559204
train per: 0.49855543086363746
train loss: 1.8333098888397217
train per: 0.49314627870150435
train loss: 1.8547500371932983
train per: 0.4908004440350504
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 249/3515 [00:00<00:01, 2488.67it/s]

word -> phonemes:  14%|█▍        | 498/3515 [00:00<00:01, 2414.89it/s]

word -> phonemes:  22%|██▏       | 773/3515 [00:00<00:01, 2560.73it/s]

word -> phonemes:  30%|██▉       | 1044/3515 [00:00<00:00, 2618.75it/s]

word -> phonemes:  37%|███▋      | 1307/3515 [00:00<00:00, 2599.25it/s]

word -> phonemes:  45%|████▍     | 1568/3515 [00:00<00:00, 2590.72it/s]

word -> phonemes:  52%|█████▏    | 1828/3515 [00:00<00:00, 2570.25it/s]

word -> phonemes:  60%|█████▉    | 2105/3515 [00:00<00:00, 2630.69it/s]

word -> phonemes:  67%|██████▋   | 2369/3515 [00:00<00:00, 2544.32it/s]

word -> phonemes:  75%|███████▌  | 2642/3515 [00:01<00:00, 2597.97it/s]

word -> phonemes:  83%|████████▎ | 2903/3515 [00:01<00:00, 2597.98it/s]

word -> phonemes:  90%|█████████ | 3164/3515 [00:01<00:00, 2413.20it/s]

word -> phonemes:  97%|█████████▋| 3426/3515 [00:01<00:00, 2470.08it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2540.86it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:06<11:19,  1.40s/it]

train:   0%|          | 1/3515 [00:01<1:33:40,  1.60s/it]
overall:  88%|████████▊ | 3517/4000 [18:06<08:11,  1.02s/it]

train:   0%|          | 2/3515 [00:01<42:37,  1.37it/s]  
overall:  88%|████████▊ | 3518/4000 [18:06<06:14,  1.29it/s]

train:   0%|          | 3/3515 [00:01<28:51,  2.03it/s]
overall:  88%|████████▊ | 3519/4000 [18:06<04:54,  1.64it/s]

train:   0%|          | 4/3515 [00:02<22:40,  2.58it/s]
overall:  88%|████████▊ | 3520/4000 [18:07<03:53,  2.06it/s]

train:   0%|          | 5/3515 [00:02<18:36,  3.14it/s]
overall:  88%|████████▊ | 3521/4000 [18:07<03:07,  2.55it/s]

train:   0%|          | 6/3515 [00:02<15:41,  3.73it/s]
overall:  88%|████████▊ | 3523/4000 [18:07<02:20,  3.40it/s]

train:   0%|          | 8/3515 [00:02<13:07,  4.45it/s]
overall:  88%|████████▊ | 3524/4000 [18:07<02:12,  3.59it/s]

train:   0%|          | 9/3515 [00:03<13:14,  4.41it/s]
overall:  88%|████████▊ | 3525/4000 [18:08<01:58,  4.00it/s]

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overall:  88%|████████▊ | 3527/4000 [18:08<01:40,  4.70it/s]

train:   0%|          | 12/3515 [00:03<11:06,  5.26it/s]
overall:  88%|████████▊ | 3528/4000 [18:08<01:46,  4.44it/s]

train:   0%|          | 13/3515 [00:03<12:08,  4.81it/s]
overall:  88%|████████▊ | 3529/4000 [18:08<01:45,  4.46it/s]

train:   0%|          | 14/3515 [00:04<12:20,  4.73it/s]
overall:  88%|████████▊ | 3530/4000 [18:09<01:39,  4.72it/s]

train:   0%|          | 15/3515 [00:04<11:48,  4.94it/s]
overall:  88%|████████▊ | 3531/4000 [18:09<01:39,  4.73it/s]

train:   0%|          | 16/3515 [00:04<11:55,  4.89it/s]
overall:  88%|████████▊ | 3532/4000 [18:09<01:39,  4.71it/s]

train:   0%|          | 17/3515 [00:04<12:05,  4.82it/s]
overall:  88%|████████▊ | 3533/4000 [18:09<01:33,  4.97it/s]

train:   1%|          | 18/3515 [00:04<11:31,  5.06it/s]
overall:  88%|████████▊ | 3534/4000 [18:09<01:36,  4.85it/s]

train:   1%|          | 19/3515 [00:05<11:52,  4.91it/s]
overall:  88%|████████▊ | 3535/4000 [18:10<01:38,  4.70it/s]

train:   1%|          | 20/3515 [00:05<12:17,  4.74it/s]
overall:  88%|████████▊ | 3536/4000 [18:10<01:38,  4.73it/s]

train:   1%|          | 21/3515 [00:05<12:14,  4.76it/s]
overall:  88%|████████▊ | 3538/4000 [18:10<01:24,  5.47it/s]

train:   1%|          | 23/3515 [00:05<10:35,  5.49it/s]
overall:  88%|████████▊ | 3539/4000 [18:10<01:31,  5.04it/s]

train:   1%|          | 24/3515 [00:06<11:30,  5.05it/s]
overall:  88%|████████▊ | 3540/4000 [18:11<01:48,  4.25it/s]

train:   1%|          | 25/3515 [00:06<13:39,  4.26it/s]
overall:  89%|████████▊ | 3541/4000 [18:11<01:45,  4.35it/s]

train:   1%|          | 26/3515 [00:06<13:20,  4.36it/s]
overall:  89%|████████▊ | 3542/4000 [18:11<01:41,  4.49it/s]

train:   1%|          | 27/3515 [00:06<12:55,  4.49it/s]
overall:  89%|████████▊ | 3543/4000 [18:11<01:25,  5.32it/s]

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overall:  89%|████████▊ | 3544/4000 [18:11<01:28,  5.16it/s]

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overall:  89%|████████▉ | 3578/4000 [18:19<01:39,  4.23it/s]

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overall:  90%|████████▉ | 3583/4000 [18:20<01:34,  4.42it/s]

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overall:  90%|████████▉ | 3584/4000 [18:20<01:20,  5.17it/s]

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overall:  90%|████████▉ | 3586/4000 [18:20<01:10,  5.84it/s]

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overall:  90%|████████▉ | 3589/4000 [18:21<01:35,  4.32it/s]

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overall:  90%|████████▉ | 3590/4000 [18:21<01:33,  4.40it/s]

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overall:  90%|████████▉ | 3591/4000 [18:21<01:28,  4.64it/s]

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overall:  90%|████████▉ | 3592/4000 [18:22<01:23,  4.90it/s]

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overall:  90%|████████▉ | 3593/4000 [18:22<01:25,  4.78it/s]

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overall:  90%|████████▉ | 3594/4000 [18:22<01:24,  4.78it/s]

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overall:  90%|████████▉ | 3595/4000 [18:22<01:20,  5.05it/s]

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overall:  90%|████████▉ | 3596/4000 [18:22<01:19,  5.09it/s]

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overall:  90%|████████▉ | 3597/4000 [18:23<01:21,  4.93it/s]

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overall:  90%|████████▉ | 3598/4000 [18:23<01:20,  4.98it/s]

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overall:  90%|████████▉ | 3599/4000 [18:23<01:18,  5.09it/s]

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overall:  90%|█████████ | 3600/4000 [18:23<01:41,  3.93it/s]

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overall:  90%|█████████ | 3601/4000 [18:24<01:36,  4.12it/s]

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overall:  90%|█████████ | 3602/4000 [18:24<01:30,  4.38it/s]

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overall:  90%|█████████ | 3603/4000 [18:24<01:28,  4.47it/s]

train:   3%|▎         | 88/3515 [00:19<12:46,  4.47it/s]
overall:  90%|█████████ | 3604/4000 [18:24<01:26,  4.56it/s]

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overall:  90%|█████████ | 3606/4000 [18:24<01:07,  5.83it/s]

train:   3%|▎         | 91/3515 [00:20<09:47,  5.83it/s]
overall:  90%|█████████ | 3607/4000 [18:25<01:12,  5.45it/s]

train:   3%|▎         | 92/3515 [00:20<10:27,  5.45it/s]
overall:  90%|█████████ | 3608/4000 [18:25<01:10,  5.58it/s]

train:   3%|▎         | 93/3515 [00:20<10:13,  5.58it/s]
overall:  90%|█████████ | 3609/4000 [18:25<01:13,  5.35it/s]

train:   3%|▎         | 94/3515 [00:20<10:39,  5.35it/s]
overall:  90%|█████████ | 3610/4000 [18:25<01:15,  5.20it/s]

train:   3%|▎         | 95/3515 [00:20<10:57,  5.20it/s]
overall:  90%|█████████ | 3611/4000 [18:25<01:18,  4.95it/s]

train:   3%|▎         | 96/3515 [00:21<11:30,  4.95it/s]
overall:  90%|█████████ | 3612/4000 [18:26<01:34,  4.10it/s]

train:   3%|▎         | 97/3515 [00:21<13:53,  4.10it/s]
overall:  90%|█████████ | 3613/4000 [18:26<01:29,  4.33it/s]

train:   3%|▎         | 98/3515 [00:21<13:10,  4.33it/s]
overall:  90%|█████████ | 3614/4000 [18:26<01:26,  4.44it/s]

train:   3%|▎         | 99/3515 [00:21<12:49,  4.44it/s]
overall:  90%|█████████ | 3615/4000 [18:26<01:26,  4.47it/s]

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overall:  90%|█████████ | 3616/4000 [18:27<01:25,  4.47it/s]

train:   3%|▎         | 101/3515 [00:22<12:44,  4.47it/s]
overall:  90%|█████████ | 3617/4000 [18:27<01:24,  4.54it/s]

train:   3%|▎         | 102/3515 [00:22<12:31,  4.54it/s]
overall:  90%|█████████ | 3618/4000 [18:27<01:24,  4.50it/s]

train:   3%|▎         | 103/3515 [00:22<12:38,  4.50it/s]
overall:  90%|█████████ | 3619/4000 [18:27<01:26,  4.41it/s]

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overall:  90%|█████████ | 3620/4000 [18:28<01:26,  4.41it/s]

train:   3%|▎         | 105/3515 [00:23<12:53,  4.41it/s]
overall:  91%|█████████ | 3621/4000 [18:28<01:25,  4.44it/s]

train:   3%|▎         | 106/3515 [00:23<12:47,  4.44it/s]
overall:  91%|█████████ | 3622/4000 [18:28<01:24,  4.48it/s]

train:   3%|▎         | 107/3515 [00:23<12:40,  4.48it/s]
overall:  91%|█████████ | 3623/4000 [18:28<01:24,  4.44it/s]

train:   3%|▎         | 108/3515 [00:23<12:46,  4.44it/s]
overall:  91%|█████████ | 3624/4000 [18:29<01:38,  3.80it/s]

train:   3%|▎         | 109/3515 [00:24<14:56,  3.80it/s]
overall:  91%|█████████ | 3625/4000 [18:29<01:33,  4.02it/s]

train:   3%|▎         | 110/3515 [00:24<14:07,  4.02it/s]
overall:  91%|█████████ | 3626/4000 [18:29<01:26,  4.33it/s]

train:   3%|▎         | 111/3515 [00:24<13:06,  4.33it/s]
overall:  91%|█████████ | 3627/4000 [18:29<01:24,  4.44it/s]

train:   3%|▎         | 112/3515 [00:24<12:46,  4.44it/s]
overall:  91%|█████████ | 3629/4000 [18:30<01:10,  5.27it/s]

train:   3%|▎         | 114/3515 [00:25<10:45,  5.27it/s]
overall:  91%|█████████ | 3630/4000 [18:30<01:12,  5.14it/s]

train:   3%|▎         | 115/3515 [00:25<11:01,  5.14it/s]
overall:  91%|█████████ | 3631/4000 [18:30<01:12,  5.11it/s]

train:   3%|▎         | 116/3515 [00:25<11:04,  5.11it/s]
overall:  91%|█████████ | 3632/4000 [18:30<01:13,  5.00it/s]

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overall:  91%|█████████ | 3633/4000 [18:30<01:15,  4.86it/s]

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overall:  91%|█████████ | 3634/4000 [18:31<01:17,  4.74it/s]

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overall:  91%|█████████ | 3635/4000 [18:31<01:19,  4.59it/s]

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overall:  91%|█████████ | 3636/4000 [18:31<01:38,  3.70it/s]

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overall:  91%|█████████ | 3637/4000 [18:31<01:33,  3.90it/s]

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overall:  91%|█████████ | 3638/4000 [18:32<01:27,  4.12it/s]

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overall:  91%|█████████ | 3639/4000 [18:32<01:26,  4.18it/s]

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overall:  91%|█████████ | 3640/4000 [18:32<01:24,  4.24it/s]

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overall:  91%|█████████ | 3641/4000 [18:32<01:23,  4.32it/s]

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overall:  91%|█████████ | 3642/4000 [18:33<01:21,  4.38it/s]

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overall:  91%|█████████ | 3643/4000 [18:33<01:21,  4.35it/s]

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overall:  91%|█████████ | 3644/4000 [18:33<01:19,  4.47it/s]

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overall:  91%|█████████ | 3645/4000 [18:33<01:18,  4.51it/s]

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overall:  91%|█████████ | 3646/4000 [18:33<01:18,  4.50it/s]

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overall:  91%|█████████ | 3647/4000 [18:34<01:11,  4.92it/s]

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overall:  91%|█████████ | 3648/4000 [18:34<01:20,  4.39it/s]

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overall:  91%|█████████ | 3649/4000 [18:34<01:18,  4.49it/s]

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overall:  91%|█████████▏| 3650/4000 [18:34<01:12,  4.86it/s]

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overall:  91%|█████████▏| 3651/4000 [18:34<01:04,  5.42it/s]

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overall:  91%|█████████▏| 3652/4000 [18:35<01:07,  5.19it/s]

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overall:  91%|█████████▏| 3653/4000 [18:35<01:09,  4.96it/s]

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overall:  91%|█████████▏| 3655/4000 [18:35<01:00,  5.66it/s]

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overall:  91%|█████████▏| 3657/4000 [18:36<01:07,  5.07it/s]

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overall:  91%|█████████▏| 3658/4000 [18:36<01:08,  4.99it/s]

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overall:  91%|█████████▏| 3659/4000 [18:36<01:10,  4.87it/s]

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overall:  92%|█████████▏| 3660/4000 [18:36<01:25,  3.97it/s]

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overall:  92%|█████████▏| 3661/4000 [18:37<01:21,  4.18it/s]

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overall:  92%|█████████▏| 3662/4000 [18:37<01:19,  4.25it/s]

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overall:  92%|█████████▏| 3666/4000 [18:38<01:08,  4.84it/s]

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overall:  92%|█████████▏| 3668/4000 [18:38<00:50,  6.62it/s]

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overall: 100%|█████████▉| 3994/4000 [19:48<00:01,  5.44it/s]

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overall: 100%|█████████▉| 3996/4000 [19:48<00:00,  5.03it/s]

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overall: 100%|█████████▉| 3997/4000 [19:49<00:00,  4.99it/s]

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overall: 100%|█████████▉| 3998/4000 [19:49<00:00,  4.84it/s]

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overall: 100%|█████████▉| 3999/4000 [19:49<00:00,  4.90it/s]

train:  14%|█▍        | 484/3515 [01:44<10:19,  4.90it/s]train loss: 1.8165658712387085
train per: 0.4845807170346364
train loss: 1.7861051559448242
train per: 0.4898809003814682
train loss: 1.8201406002044678
train per: 0.49158669144413614
train loss: 1.866121530532837
train per: 0.4942080378250591
train loss: 1.8297723531723022
train per: 0.4956766488323148
train loss: 1.8242948055267334
train per: 0.49067182693261885
train loss: 1.8349500894546509
train per: 0.4878026391279403
train loss: 1.7955411672592163
train per: 0.49295522997600694
train loss: 1.8220055103302002
train per: 0.49979620949663744
train loss: 1.829615592956543
train per: 0.4954308430997986
train loss: 1.8298877477645874
train per: 0.4946513625361131
train loss: 1.857892632484436
train per: 0.49170013386880856
train loss: 1.7900097370147705
train per: 0.4854442344045369
train loss: 1.8315160274505615
train per: 0.4928606854786082
train loss: 1.856286644935608
train per: 0.49844445015812616
train loss: 1.8003432750701904
train per: 0.48891766318836166
train loss: 1.799932837486267
train per: 0.4908871484163342
train loss: 1.8201004266738892
train per: 0.48944716451965586
train loss: 1.8270070552825928
train per: 0.4903044357823062
train loss: 1.7966699600219727
train per: 0.48559411146161935
train loss: 1.807758092880249
train per: 0.49104599104599106
train loss: 1.8240253925323486
train per: 0.4899845576880653
train loss: 1.825029969215393
train per: 0.4930054097852768
train loss: 1.8057972192764282
train per: 0.4831015366660183
train loss: 1.8004093170166016
train per: 0.4823648882944469
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 290/2703 [00:00<00:00, 2891.89it/s]


word -> phonemes:  21%|██▏       | 580/2703 [00:00<00:00, 2799.49it/s]


word -> phonemes:  33%|███▎      | 887/2703 [00:00<00:00, 2918.50it/s]


word -> phonemes:  44%|████▍     | 1184/2703 [00:00<00:00, 2892.33it/s]


word -> phonemes:  55%|█████▍    | 1474/2703 [00:00<00:00, 2701.79it/s]


word -> phonemes:  65%|██████▍   | 1747/2703 [00:00<00:00, 2574.23it/s]


word -> phonemes:  74%|███████▍  | 2007/2703 [00:00<00:00, 2440.34it/s]


word -> phonemes:  83%|████████▎ | 2253/2703 [00:00<00:00, 2364.61it/s]


word -> phonemes:  92%|█████████▏| 2491/2703 [00:00<00:00, 2342.06it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2537.20it/s]



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


dev:   0%|          | 1/2703 [00:01<1:02:23,  1.39s/it]


dev:   0%|          | 3/2703 [00:01<18:34,  2.42it/s]  


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dev:   1%|          | 31/2703 [00:03<02:44, 16.21it/s]


dev:   1%|          | 33/2703 [00:03<02:42, 16.42it/s]


dev:   1%|▏         | 35/2703 [00:03<02:34, 17.24it/s]


dev:   1%|▏         | 37/2703 [00:03<02:53, 15.39it/s]


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dev:   2%|▏         | 45/2703 [00:04<02:34, 17.18it/s]


dev:   2%|▏         | 47/2703 [00:04<02:28, 17.86it/s]


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overall: 100%|█████████▉| 3999/4000 [21:44<00:00,  4.90it/s]

train:  14%|█▍        | 484/3515 [03:39<10:19,  4.90it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:44<00:00,  4.90it/s]

train:  14%|█▍        | 484/3515 [03:39<10:19,  4.90it/s]
overall: 100%|██████████| 4000/4000 [21:44<00:00, 31.25s/it]

train:  14%|█▍        | 485/3515 [03:39<26:18:05, 31.25s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:39<22:54,  2.20it/s]   

overall: 100%|██████████| 4000/4000 [21:44<00:00,  3.07it/s]
dev loss: 2.184540271759033
dev per: 0.5413007284079084
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt