/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k {'model_config': None, 'refresh': False}
Loading model from Local mert_test_8x_400k
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]

word -> phonemes:  10%|█         | 368/3515 [00:00<00:00, 3670.26it/s]

word -> phonemes:  21%|██        | 736/3515 [00:00<00:00, 3444.72it/s]

word -> phonemes:  33%|███▎      | 1145/3515 [00:00<00:00, 3726.06it/s]

word -> phonemes:  44%|████▍     | 1551/3515 [00:00<00:00, 3853.65it/s]

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word -> phonemes:  67%|██████▋   | 2340/3515 [00:00<00:00, 3821.95it/s]

word -> phonemes:  79%|███████▊  | 2764/3515 [00:00<00:00, 3946.58it/s]

word -> phonemes:  90%|████████▉ | 3161/3515 [00:00<00:00, 3953.10it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3868.61it/s]


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train:   4%|▎         | 130/3515 [00:28<12:01,  4.69it/s]
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train:   4%|▍         | 140/3515 [00:29<10:58,  5.12it/s]
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train:   4%|▍         | 148/3515 [00:31<10:17,  5.46it/s]
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train:   4%|▍         | 149/3515 [00:31<10:53,  5.15it/s]
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train:   4%|▍         | 150/3515 [00:31<10:49,  5.18it/s]
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train:   4%|▍         | 151/3515 [00:32<10:56,  5.12it/s]
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train:   4%|▍         | 152/3515 [00:32<10:52,  5.15it/s]
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train:   4%|▍         | 153/3515 [00:32<11:02,  5.08it/s]
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train:   4%|▍         | 154/3515 [00:32<11:30,  4.87it/s]
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train:   4%|▍         | 155/3515 [00:32<11:22,  4.93it/s]
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train:   4%|▍         | 157/3515 [00:33<10:14,  5.47it/s]
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train:   4%|▍         | 158/3515 [00:33<10:28,  5.34it/s]
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train:   5%|▍         | 159/3515 [00:33<10:48,  5.18it/s]
overall:   4%|▍         | 160/4000 [00:36<12:32,  5.10it/s]

train:   5%|▍         | 160/3515 [00:33<10:57,  5.10it/s]
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train:   5%|▍         | 161/3515 [00:34<11:01,  5.07it/s]
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train:   5%|▍         | 162/3515 [00:34<11:01,  5.07it/s]
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train:   5%|▍         | 163/3515 [00:34<11:05,  5.04it/s]
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train:   5%|▍         | 164/3515 [00:34<11:06,  5.03it/s]
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train:   5%|▍         | 165/3515 [00:34<10:58,  5.09it/s]
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train:   5%|▍         | 166/3515 [00:35<10:58,  5.09it/s]
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train:   5%|▍         | 167/3515 [00:35<11:04,  5.04it/s]
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train:   5%|▍         | 168/3515 [00:35<11:07,  5.02it/s]
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train:   5%|▍         | 169/3515 [00:35<12:05,  4.61it/s]
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train:   5%|▍         | 170/3515 [00:35<13:44,  4.06it/s]
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train:   5%|▍         | 171/3515 [00:36<12:45,  4.37it/s]
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train:   5%|▍         | 173/3515 [00:36<09:33,  5.82it/s]
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train:   5%|▍         | 174/3515 [00:36<11:24,  4.88it/s]
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train:   5%|▍         | 175/3515 [00:36<11:20,  4.91it/s]
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train:   5%|▌         | 176/3515 [00:37<11:18,  4.92it/s]
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train:   5%|▌         | 177/3515 [00:37<11:19,  4.91it/s]
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train:   5%|▌         | 178/3515 [00:37<11:49,  4.70it/s]
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train:   5%|▌         | 179/3515 [00:37<11:36,  4.79it/s]
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train:   5%|▌         | 180/3515 [00:37<11:25,  4.87it/s]
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train:   5%|▌         | 181/3515 [00:38<11:42,  4.74it/s]
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train:   5%|▌         | 182/3515 [00:38<11:29,  4.83it/s]
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train:   5%|▌         | 183/3515 [00:38<11:24,  4.87it/s]
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train:   5%|▌         | 184/3515 [00:38<10:03,  5.52it/s]
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train:   5%|▌         | 185/3515 [00:38<10:07,  5.48it/s]
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train:   5%|▌         | 186/3515 [00:39<10:28,  5.30it/s]
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train:   5%|▌         | 187/3515 [00:39<10:39,  5.20it/s]
overall:   5%|▍         | 188/4000 [00:41<12:15,  5.18it/s]

train:   5%|▌         | 188/3515 [00:39<10:42,  5.18it/s]
overall:   5%|▍         | 189/4000 [00:41<12:40,  5.01it/s]

train:   5%|▌         | 189/3515 [00:39<11:03,  5.01it/s]
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train:   5%|▌         | 190/3515 [00:39<11:18,  4.90it/s]
overall:   5%|▍         | 191/4000 [00:42<12:44,  4.98it/s]

train:   5%|▌         | 191/3515 [00:40<11:07,  4.98it/s]
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train:   5%|▌         | 192/3515 [00:40<11:17,  4.90it/s]
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train:   5%|▌         | 193/3515 [00:40<12:17,  4.50it/s]
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train:   6%|▌         | 194/3515 [00:40<13:32,  4.09it/s]
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train:   6%|▌         | 195/3515 [00:41<12:15,  4.51it/s]
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train:   6%|▌         | 197/3515 [00:41<10:15,  5.39it/s]
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train:   6%|▌         | 198/3515 [00:41<12:04,  4.58it/s]
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train:   6%|▌         | 200/3515 [00:41<10:06,  5.47it/s]
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train:   6%|▋         | 224/3515 [00:46<10:16,  5.34it/s]
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overall:   9%|▉         | 378/4000 [01:20<09:39,  6.26it/s]

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overall:   9%|▉         | 379/4000 [01:21<10:24,  5.80it/s]

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overall:  10%|▉         | 380/4000 [01:21<11:03,  5.45it/s]

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overall:  10%|▉         | 381/4000 [01:21<11:24,  5.28it/s]

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overall:  10%|▉         | 382/4000 [01:21<14:49,  4.07it/s]

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overall:  10%|▉         | 383/4000 [01:22<13:46,  4.38it/s]

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overall:  10%|▉         | 384/4000 [01:22<13:27,  4.48it/s]

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overall:  10%|▉         | 385/4000 [01:22<12:52,  4.68it/s]

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overall:  10%|▉         | 386/4000 [01:22<12:31,  4.81it/s]

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overall:  10%|▉         | 387/4000 [01:22<11:57,  5.04it/s]

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overall:  10%|▉         | 388/4000 [01:23<11:59,  5.02it/s]

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overall:  10%|▉         | 389/4000 [01:23<12:32,  4.80it/s]

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overall:  10%|▉         | 390/4000 [01:23<13:08,  4.58it/s]

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overall:  10%|▉         | 391/4000 [01:23<12:42,  4.73it/s]

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overall:  10%|▉         | 392/4000 [01:23<13:50,  4.35it/s]

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overall:  10%|▉         | 393/4000 [01:24<13:04,  4.60it/s]

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overall:  10%|▉         | 394/4000 [01:24<12:47,  4.70it/s]

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overall:  10%|▉         | 395/4000 [01:24<12:29,  4.81it/s]

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overall:  10%|▉         | 396/4000 [01:24<13:25,  4.47it/s]

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overall:  10%|▉         | 397/4000 [01:25<13:13,  4.54it/s]

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overall:  10%|▉         | 398/4000 [01:25<13:15,  4.53it/s]

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overall:  10%|█         | 400/4000 [01:25<10:52,  5.52it/s]

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overall:  10%|█         | 402/4000 [01:25<11:28,  5.23it/s]

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overall:  10%|█         | 405/4000 [01:26<11:47,  5.08it/s]

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overall:  10%|█         | 406/4000 [01:26<13:48,  4.34it/s]

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overall:  10%|█         | 407/4000 [01:27<13:08,  4.55it/s]

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overall:  10%|█         | 408/4000 [01:27<12:49,  4.67it/s]

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overall:  10%|█         | 409/4000 [01:27<12:42,  4.71it/s]

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overall:  10%|█         | 410/4000 [01:27<12:31,  4.78it/s]

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overall:  10%|█         | 411/4000 [01:27<12:01,  4.97it/s]

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overall:  10%|█         | 412/4000 [01:28<12:14,  4.88it/s]

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overall:  10%|█         | 413/4000 [01:28<11:48,  5.06it/s]

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overall:  10%|█         | 414/4000 [01:28<12:54,  4.63it/s]

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overall:  10%|█         | 415/4000 [01:28<12:04,  4.95it/s]

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overall:  10%|█         | 416/4000 [01:28<11:16,  5.30it/s]

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overall:  10%|█         | 417/4000 [01:29<11:31,  5.18it/s]

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overall:  10%|█         | 418/4000 [01:29<11:36,  5.15it/s]

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overall:  10%|█         | 419/4000 [01:29<11:35,  5.15it/s]

train:  12%|█▏        | 419/3515 [01:27<10:00,  5.15it/s]
overall:  10%|█         | 420/4000 [01:29<12:43,  4.69it/s]

train:  12%|█▏        | 420/3515 [01:27<10:59,  4.69it/s]
overall:  11%|█         | 421/4000 [01:29<12:43,  4.69it/s]

train:  12%|█▏        | 421/3515 [01:27<11:00,  4.69it/s]
overall:  11%|█         | 422/4000 [01:30<12:37,  4.73it/s]

train:  12%|█▏        | 422/3515 [01:27<10:54,  4.73it/s]
overall:  11%|█         | 423/4000 [01:30<12:24,  4.80it/s]

train:  12%|█▏        | 423/3515 [01:28<10:43,  4.80it/s]
overall:  11%|█         | 424/4000 [01:30<11:22,  5.24it/s]

train:  12%|█▏        | 424/3515 [01:28<09:50,  5.24it/s]
overall:  11%|█         | 425/4000 [01:30<11:45,  5.07it/s]

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overall:  11%|█         | 426/4000 [01:30<11:57,  4.98it/s]

train:  12%|█▏        | 426/3515 [01:28<10:20,  4.98it/s]
overall:  11%|█         | 428/4000 [01:31<10:27,  5.69it/s]

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overall:  11%|█         | 429/4000 [01:31<10:57,  5.43it/s]

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overall:  11%|█         | 430/4000 [01:31<14:06,  4.22it/s]

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overall:  11%|█         | 431/4000 [01:31<13:56,  4.27it/s]

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overall:  11%|█         | 432/4000 [01:32<13:39,  4.35it/s]

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overall:  11%|█         | 433/4000 [01:32<13:27,  4.42it/s]

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overall:  11%|█         | 434/4000 [01:32<13:23,  4.44it/s]

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overall:  11%|█         | 435/4000 [01:32<13:20,  4.46it/s]

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overall:  11%|█         | 436/4000 [01:33<12:44,  4.66it/s]

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overall:  11%|█         | 437/4000 [01:33<12:30,  4.75it/s]

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overall:  11%|█         | 438/4000 [01:33<13:43,  4.33it/s]

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overall:  11%|█         | 439/4000 [01:33<13:32,  4.38it/s]

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overall:  11%|█         | 440/4000 [01:33<13:17,  4.47it/s]

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overall:  11%|█         | 441/4000 [01:34<12:58,  4.57it/s]

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overall:  11%|█         | 442/4000 [01:34<12:16,  4.83it/s]

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overall:  11%|█         | 443/4000 [01:34<11:56,  4.97it/s]

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overall:  11%|█         | 444/4000 [01:34<12:49,  4.62it/s]

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overall:  11%|█         | 445/4000 [01:34<12:35,  4.70it/s]

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overall:  11%|█         | 446/4000 [01:35<12:28,  4.75it/s]

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overall:  11%|█         | 447/4000 [01:35<12:23,  4.78it/s]

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overall:  11%|█         | 448/4000 [01:35<12:24,  4.77it/s]

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overall:  11%|█         | 449/4000 [01:35<12:23,  4.78it/s]

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overall:  11%|█▏        | 450/4000 [01:36<12:05,  4.89it/s]

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overall:  11%|█▏        | 451/4000 [01:36<11:48,  5.01it/s]

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overall:  11%|█▏        | 452/4000 [01:36<11:48,  5.01it/s]

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overall:  11%|█▏        | 453/4000 [01:36<11:44,  5.03it/s]

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overall:  11%|█▏        | 454/4000 [01:36<15:00,  3.94it/s]

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overall:  11%|█▏        | 455/4000 [01:37<14:05,  4.19it/s]

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overall:  11%|█▏        | 456/4000 [01:37<13:30,  4.37it/s]

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overall:  11%|█▏        | 457/4000 [01:37<13:00,  4.54it/s]

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overall:  11%|█▏        | 458/4000 [01:37<12:42,  4.65it/s]

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overall:  11%|█▏        | 459/4000 [01:37<12:05,  4.88it/s]

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overall:  12%|█▏        | 460/4000 [01:38<12:13,  4.83it/s]

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overall:  12%|█▏        | 461/4000 [01:38<12:10,  4.84it/s]

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overall:  12%|█▏        | 462/4000 [01:38<12:42,  4.64it/s]

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overall:  12%|█▏        | 463/4000 [01:38<12:12,  4.83it/s]

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overall:  12%|█▏        | 464/4000 [01:38<10:58,  5.37it/s]

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overall:  12%|█▏        | 465/4000 [01:39<11:22,  5.18it/s]

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overall:  12%|█▏        | 467/4000 [01:39<10:09,  5.79it/s]

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overall:  12%|█▏        | 468/4000 [01:39<11:36,  5.07it/s]

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overall:  12%|█▏        | 469/4000 [01:39<11:54,  4.94it/s]

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overall:  12%|█▏        | 470/4000 [01:40<12:01,  4.89it/s]

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overall:  12%|█▏        | 471/4000 [01:40<11:42,  5.02it/s]

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overall:  12%|█▏        | 472/4000 [01:40<11:59,  4.90it/s]

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overall:  12%|█▏        | 473/4000 [01:40<12:02,  4.88it/s]

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overall:  12%|█▏        | 474/4000 [01:40<12:10,  4.83it/s]

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overall:  12%|█▏        | 475/4000 [01:41<12:12,  4.81it/s]

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overall:  12%|█▏        | 476/4000 [01:41<11:55,  4.93it/s]

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overall:  12%|█▏        | 477/4000 [01:41<12:01,  4.88it/s]

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overall:  12%|█▏        | 478/4000 [01:41<14:59,  3.91it/s]

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overall:  12%|█▏        | 479/4000 [01:42<13:56,  4.21it/s]

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overall:  13%|█▎        | 533/4000 [01:53<12:14,  4.72it/s]

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overall:  13%|█▎        | 534/4000 [01:53<11:32,  5.00it/s]

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overall:  13%|█▎        | 535/4000 [01:53<11:39,  4.95it/s]

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overall:  13%|█▎        | 536/4000 [01:54<12:04,  4.78it/s]

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overall:  13%|█▎        | 537/4000 [01:54<12:08,  4.75it/s]

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overall:  13%|█▎        | 538/4000 [01:54<10:31,  5.49it/s]

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overall:  13%|█▎        | 539/4000 [01:54<10:50,  5.32it/s]

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overall:  14%|█▎        | 540/4000 [01:54<12:06,  4.76it/s]

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overall:  14%|█▎        | 541/4000 [01:55<12:21,  4.67it/s]

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overall:  14%|█▎        | 542/4000 [01:55<12:24,  4.65it/s]

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overall:  14%|█▎        | 543/4000 [01:55<12:34,  4.58it/s]

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overall:  14%|█▎        | 544/4000 [01:55<12:36,  4.57it/s]

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overall:  14%|█▎        | 545/4000 [01:55<12:45,  4.51it/s]

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overall:  14%|█▎        | 546/4000 [01:56<12:37,  4.56it/s]

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overall:  14%|█▎        | 547/4000 [01:56<12:16,  4.69it/s]

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overall:  14%|█▎        | 548/4000 [01:56<11:54,  4.83it/s]

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overall:  14%|█▎        | 549/4000 [01:56<11:52,  4.84it/s]

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overall:  14%|█▍        | 550/4000 [01:57<14:33,  3.95it/s]

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overall:  14%|█▍        | 551/4000 [01:57<13:56,  4.12it/s]

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overall:  14%|█▍        | 552/4000 [01:57<13:17,  4.33it/s]

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overall:  14%|█▍        | 553/4000 [01:57<12:51,  4.47it/s]

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overall:  14%|█▍        | 558/4000 [01:58<12:37,  4.54it/s]

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overall:  14%|█▍        | 560/4000 [01:59<13:25,  4.27it/s]

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overall:  14%|█▍        | 562/4000 [01:59<12:53,  4.45it/s]

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overall:  14%|█▍        | 565/4000 [02:00<12:27,  4.60it/s]

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overall:  14%|█▍        | 566/4000 [02:00<12:12,  4.69it/s]

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overall:  14%|█▍        | 568/4000 [02:00<11:26,  5.00it/s]

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overall:  14%|█▍        | 569/4000 [02:01<11:46,  4.86it/s]

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overall:  14%|█▍        | 571/4000 [02:01<09:15,  6.18it/s]

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overall:  14%|█▍        | 576/4000 [02:02<12:09,  4.70it/s]

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overall:  25%|██▍       | 990/4000 [03:28<10:01,  5.01it/s]

train:  28%|██▊       | 990/3515 [03:26<08:24,  5.01it/s]
overall:  25%|██▍       | 991/4000 [03:28<10:25,  4.81it/s]

train:  28%|██▊       | 991/3515 [03:26<08:45,  4.81it/s]
overall:  25%|██▍       | 992/4000 [03:28<10:28,  4.79it/s]

train:  28%|██▊       | 992/3515 [03:26<08:46,  4.79it/s]
overall:  25%|██▍       | 993/4000 [03:28<10:23,  4.82it/s]

train:  28%|██▊       | 993/3515 [03:26<08:42,  4.82it/s]
overall:  25%|██▍       | 994/4000 [03:29<10:15,  4.89it/s]

train:  28%|██▊       | 994/3515 [03:26<08:35,  4.89it/s]
overall:  25%|██▍       | 995/4000 [03:29<10:17,  4.87it/s]

train:  28%|██▊       | 995/3515 [03:27<08:37,  4.87it/s]
overall:  25%|██▍       | 996/4000 [03:29<10:38,  4.70it/s]

train:  28%|██▊       | 996/3515 [03:27<08:55,  4.70it/s]
overall:  25%|██▍       | 997/4000 [03:29<10:31,  4.76it/s]

train:  28%|██▊       | 997/3515 [03:27<08:49,  4.76it/s]
overall:  25%|██▍       | 998/4000 [03:30<10:26,  4.79it/s]

train:  28%|██▊       | 998/3515 [03:27<08:45,  4.79it/s]
overall:  25%|██▍       | 999/4000 [03:30<10:03,  4.97it/s]

train:  28%|██▊       | 999/3515 [03:28<08:26,  4.97it/s]train loss: 3.8454203605651855
train per: 0.9022260319841419
train loss: 2.580803155899048
train per: 0.6583719086468377
train loss: 2.37979793548584
train per: 0.6271837603509591
train loss: 2.3311424255371094
train per: 0.6058213858259696
train loss: 2.309723138809204
train per: 0.6004550308770953
train loss: 2.2391624450683594
train per: 0.5920946490992203
train loss: 2.1890392303466797
train per: 0.5791052785637624
train loss: 2.2811684608459473
train per: 0.5968162007016052
train loss: 2.159785032272339
train per: 0.570385869300764
train loss: 2.158529758453369
train per: 0.5693066593587284
train loss: 2.1563334465026855
train per: 0.5737868934467234
train loss: 2.1739206314086914
train per: 0.5770736299672976
train loss: 2.2409043312072754
train per: 0.5860842947963268
train loss: 2.1701180934906006
train per: 0.5670421715079169
train loss: 2.1018033027648926
train per: 0.5606649243012879
train loss: 2.1268086433410645
train per: 0.5649139134481154
train loss: 2.0993611812591553
train per: 0.5592360261117911
train loss: 2.106447219848633
train per: 0.5606980060963673
train loss: 2.142197847366333
train per: 0.5642473488500207
train loss: 2.0990912914276123
train per: 0.5615779668697447
train loss: 2.0875797271728516
train per: 0.5534045229228834
train loss: 2.123608112335205
train per: 0.5606619955297723
train loss: 2.129889726638794
train per: 0.5523958013087971
train loss: 2.126310348510742
train per: 0.5586886033385373
train loss: 2.0991902351379395
train per: 0.5533015292701413
train loss: 2.0452795028686523
train per: 0.5438347320852163
train loss: 2.104422092437744
train per: 0.5488712539432177
train loss: 2.0578815937042236
train per: 0.547171530768004
train loss: 2.0586676597595215
train per: 0.5441806964341733
train loss: 2.0868256092071533
train per: 0.5561737641771881
train loss: 2.1130199432373047
train per: 0.5533780051396594
train loss: 2.057920217514038
train per: 0.5474207612795767
train loss: 2.0921032428741455
train per: 0.5541417109277884
train loss: 2.0846107006073
train per: 0.5522841848136791
train loss: 2.063699960708618
train per: 0.5545167093714224
train loss: 2.066545009613037
train per: 0.5534023149772009
train loss: 2.125490188598633
train per: 0.5538042968383525
train loss: 2.1093034744262695
train per: 0.5549288985297662
train loss: 2.09015154838562
train per: 0.5522435739912518
train loss: 2.0914063453674316
train per: 0.5505827941416925
train loss: 2.068673610687256
train per: 0.5493778130791633
train loss: 2.054485321044922
train per: 0.5461794745753454
train loss: 2.079106569290161
train per: 0.5476587556125722
train loss: 2.1104705333709717
train per: 0.5533968318132437
train loss: 2.056049346923828
train per: 0.5402548252806862
train loss: 2.056687355041504
train per: 0.541952446273434
train loss: 2.091063976287842
train per: 0.5535935884177869
train loss: 2.0923569202423096
train per: 0.5541427067303798
train loss: 2.068974018096924
train per: 0.5494746161552619
train loss: 2.03692889213562
train per: 0.543370309064407
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 462/2703 [00:00<00:00, 4616.22it/s]


word -> phonemes:  39%|███▉      | 1057/2703 [00:00<00:00, 5400.25it/s]


word -> phonemes:  59%|█████▉    | 1598/2703 [00:00<00:00, 4993.32it/s]


word -> phonemes:  80%|████████  | 2164/2703 [00:00<00:00, 5121.70it/s]


word -> phonemes:  99%|█████████▉| 2679/2703 [00:00<00:00, 4978.92it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5019.98it/s]



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overall:  47%|████▋     | 1877/4000 [09:31<07:09,  4.95it/s]

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overall:  47%|████▋     | 1878/4000 [09:31<07:22,  4.79it/s]

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overall:  47%|████▋     | 1879/4000 [09:32<07:17,  4.85it/s]

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overall:  47%|████▋     | 1880/4000 [09:32<08:23,  4.21it/s]

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overall:  47%|████▋     | 1881/4000 [09:32<08:08,  4.34it/s]

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overall:  47%|████▋     | 1882/4000 [09:32<08:05,  4.37it/s]

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overall:  47%|████▋     | 1883/4000 [09:33<07:50,  4.50it/s]

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overall:  47%|████▋     | 1884/4000 [09:33<07:40,  4.59it/s]

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overall:  47%|████▋     | 1885/4000 [09:33<07:34,  4.65it/s]

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overall:  47%|████▋     | 1886/4000 [09:33<07:39,  4.60it/s]

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overall:  47%|████▋     | 1887/4000 [09:33<07:28,  4.71it/s]

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overall:  47%|████▋     | 1888/4000 [09:34<08:37,  4.08it/s]

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overall:  47%|████▋     | 1889/4000 [09:34<08:13,  4.28it/s]

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overall:  47%|████▋     | 1890/4000 [09:34<07:31,  4.67it/s]

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overall:  47%|████▋     | 1894/4000 [09:35<07:28,  4.70it/s]

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overall:  47%|████▋     | 1895/4000 [09:35<08:01,  4.37it/s]

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overall:  47%|████▋     | 1898/4000 [09:36<07:23,  4.74it/s]

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overall:  47%|████▋     | 1899/4000 [09:36<07:35,  4.61it/s]

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overall:  48%|████▊     | 1900/4000 [09:36<07:43,  4.53it/s]

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overall:  48%|████▊     | 1901/4000 [09:37<07:30,  4.66it/s]

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overall:  48%|████▊     | 1902/4000 [09:37<06:43,  5.19it/s]

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overall:  48%|████▊     | 1903/4000 [09:37<06:56,  5.03it/s]

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overall:  48%|████▊     | 1904/4000 [09:37<07:48,  4.48it/s]

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overall:  48%|████▊     | 1905/4000 [09:37<06:41,  5.21it/s]

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overall:  48%|████▊     | 1906/4000 [09:37<06:56,  5.02it/s]

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overall:  48%|████▊     | 1907/4000 [09:38<06:15,  5.57it/s]

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overall:  48%|████▊     | 1908/4000 [09:38<06:27,  5.40it/s]

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overall:  48%|████▊     | 1909/4000 [09:38<06:37,  5.26it/s]

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overall:  48%|████▊     | 1910/4000 [09:38<06:52,  5.06it/s]

train:  54%|█████▍    | 1910/3515 [09:36<05:17,  5.06it/s]
overall:  48%|████▊     | 1911/4000 [09:38<06:04,  5.73it/s]

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overall:  48%|████▊     | 1913/4000 [09:39<05:49,  5.96it/s]

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overall:  48%|████▊     | 1914/4000 [09:39<05:56,  5.84it/s]

train:  54%|█████▍    | 1914/3515 [09:37<04:33,  5.84it/s]
overall:  48%|████▊     | 1915/4000 [09:39<06:22,  5.45it/s]

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overall:  48%|████▊     | 1916/4000 [09:39<05:59,  5.80it/s]

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overall:  48%|████▊     | 1917/4000 [09:39<06:23,  5.43it/s]

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overall:  48%|████▊     | 1918/4000 [09:40<07:37,  4.55it/s]

train:  55%|█████▍    | 1918/3515 [09:38<05:50,  4.55it/s]
overall:  48%|████▊     | 1919/4000 [09:40<08:45,  3.96it/s]

train:  55%|█████▍    | 1919/3515 [09:38<06:42,  3.96it/s]
overall:  48%|████▊     | 1920/4000 [09:40<08:26,  4.11it/s]

train:  55%|█████▍    | 1920/3515 [09:38<06:28,  4.11it/s]
overall:  48%|████▊     | 1921/4000 [09:41<08:42,  3.98it/s]

train:  55%|█████▍    | 1921/3515 [09:38<06:40,  3.98it/s]
overall:  48%|████▊     | 1922/4000 [09:41<08:24,  4.12it/s]

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overall:  48%|████▊     | 1923/4000 [09:41<07:52,  4.39it/s]

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overall:  48%|████▊     | 1924/4000 [09:41<07:43,  4.48it/s]

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overall:  48%|████▊     | 1926/4000 [09:42<07:05,  4.88it/s]

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overall:  48%|████▊     | 1927/4000 [09:42<07:02,  4.91it/s]

train:  55%|█████▍    | 1927/3515 [09:40<05:23,  4.91it/s]
overall:  48%|████▊     | 1928/4000 [09:42<06:45,  5.10it/s]

train:  55%|█████▍    | 1928/3515 [09:40<05:10,  5.10it/s]
overall:  48%|████▊     | 1929/4000 [09:42<07:01,  4.92it/s]

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overall:  48%|████▊     | 1930/4000 [09:42<07:09,  4.82it/s]

train:  55%|█████▍    | 1930/3515 [09:40<05:28,  4.82it/s]
overall:  48%|████▊     | 1931/4000 [09:43<07:09,  4.82it/s]

train:  55%|█████▍    | 1931/3515 [09:40<05:28,  4.82it/s]
overall:  48%|████▊     | 1932/4000 [09:43<07:17,  4.73it/s]

train:  55%|█████▍    | 1932/3515 [09:41<05:34,  4.73it/s]
overall:  48%|████▊     | 1933/4000 [09:43<07:17,  4.73it/s]

train:  55%|█████▍    | 1933/3515 [09:41<05:34,  4.73it/s]
overall:  48%|████▊     | 1934/4000 [09:43<07:17,  4.72it/s]

train:  55%|█████▌    | 1934/3515 [09:41<05:34,  4.72it/s]
overall:  48%|████▊     | 1935/4000 [09:43<07:18,  4.70it/s]

train:  55%|█████▌    | 1935/3515 [09:41<05:35,  4.70it/s]
overall:  48%|████▊     | 1936/4000 [09:44<06:15,  5.50it/s]

train:  55%|█████▌    | 1936/3515 [09:41<04:46,  5.50it/s]
overall:  48%|████▊     | 1937/4000 [09:44<06:29,  5.29it/s]

train:  55%|█████▌    | 1937/3515 [09:42<04:58,  5.29it/s]
overall:  48%|████▊     | 1938/4000 [09:44<06:33,  5.24it/s]

train:  55%|█████▌    | 1938/3515 [09:42<05:00,  5.24it/s]
overall:  48%|████▊     | 1939/4000 [09:44<06:49,  5.04it/s]

train:  55%|█████▌    | 1939/3515 [09:42<05:12,  5.04it/s]
overall:  48%|████▊     | 1940/4000 [09:44<06:49,  5.03it/s]

train:  55%|█████▌    | 1940/3515 [09:42<05:13,  5.03it/s]
overall:  49%|████▊     | 1941/4000 [09:45<06:50,  5.02it/s]

train:  55%|█████▌    | 1941/3515 [09:42<05:13,  5.02it/s]
overall:  49%|████▊     | 1942/4000 [09:45<08:14,  4.16it/s]

train:  55%|█████▌    | 1942/3515 [09:43<06:18,  4.16it/s]
overall:  49%|████▊     | 1943/4000 [09:45<09:06,  3.76it/s]

train:  55%|█████▌    | 1943/3515 [09:43<06:57,  3.76it/s]
overall:  49%|████▊     | 1945/4000 [09:46<07:52,  4.35it/s]

train:  55%|█████▌    | 1945/3515 [09:43<06:00,  4.35it/s]
overall:  49%|████▊     | 1946/4000 [09:46<07:48,  4.38it/s]

train:  55%|█████▌    | 1946/3515 [09:44<05:57,  4.38it/s]
overall:  49%|████▊     | 1948/4000 [09:46<06:40,  5.13it/s]

train:  55%|█████▌    | 1948/3515 [09:44<05:05,  5.13it/s]
overall:  49%|████▊     | 1949/4000 [09:46<06:45,  5.06it/s]

train:  55%|█████▌    | 1949/3515 [09:44<05:09,  5.06it/s]
overall:  49%|████▉     | 1950/4000 [09:47<06:54,  4.94it/s]

train:  55%|█████▌    | 1950/3515 [09:44<05:16,  4.94it/s]
overall:  49%|████▉     | 1951/4000 [09:47<06:56,  4.92it/s]

train:  56%|█████▌    | 1951/3515 [09:45<05:17,  4.92it/s]
overall:  49%|████▉     | 1952/4000 [09:47<07:54,  4.32it/s]

train:  56%|█████▌    | 1952/3515 [09:45<06:01,  4.32it/s]
overall:  49%|████▉     | 1953/4000 [09:47<07:54,  4.31it/s]

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overall:  49%|████▉     | 1954/4000 [09:48<07:55,  4.30it/s]

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overall:  49%|████▉     | 1955/4000 [09:48<07:31,  4.53it/s]

train:  56%|█████▌    | 1955/3515 [09:46<05:44,  4.53it/s]
overall:  49%|████▉     | 1956/4000 [09:48<07:15,  4.69it/s]

train:  56%|█████▌    | 1956/3515 [09:46<05:32,  4.69it/s]
overall:  49%|████▉     | 1957/4000 [09:48<07:12,  4.72it/s]

train:  56%|█████▌    | 1957/3515 [09:46<05:29,  4.72it/s]
overall:  49%|████▉     | 1958/4000 [09:48<07:13,  4.71it/s]

train:  56%|█████▌    | 1958/3515 [09:46<05:30,  4.71it/s]
overall:  49%|████▉     | 1959/4000 [09:49<07:08,  4.77it/s]

train:  56%|█████▌    | 1959/3515 [09:46<05:26,  4.77it/s]
overall:  49%|████▉     | 1960/4000 [09:49<07:07,  4.78it/s]

train:  56%|█████▌    | 1960/3515 [09:47<05:25,  4.77it/s]
overall:  49%|████▉     | 1961/4000 [09:49<07:06,  4.78it/s]

train:  56%|█████▌    | 1961/3515 [09:47<05:24,  4.78it/s]
overall:  49%|████▉     | 1962/4000 [09:49<07:08,  4.75it/s]

train:  56%|█████▌    | 1962/3515 [09:47<05:26,  4.75it/s]
overall:  49%|████▉     | 1963/4000 [09:49<07:13,  4.70it/s]

train:  56%|█████▌    | 1963/3515 [09:47<05:30,  4.70it/s]
overall:  49%|████▉     | 1964/4000 [09:50<06:58,  4.87it/s]

train:  56%|█████▌    | 1964/3515 [09:47<05:18,  4.87it/s]
overall:  49%|████▉     | 1965/4000 [09:50<07:04,  4.80it/s]

train:  56%|█████▌    | 1965/3515 [09:48<05:23,  4.80it/s]
overall:  49%|████▉     | 1966/4000 [09:50<07:47,  4.35it/s]

train:  56%|█████▌    | 1966/3515 [09:48<05:56,  4.35it/s]
overall:  49%|████▉     | 1967/4000 [09:50<08:20,  4.06it/s]

train:  56%|█████▌    | 1967/3515 [09:48<06:21,  4.06it/s]
overall:  49%|████▉     | 1968/4000 [09:51<07:42,  4.39it/s]

train:  56%|█████▌    | 1968/3515 [09:48<05:52,  4.39it/s]
overall:  49%|████▉     | 1969/4000 [09:51<07:56,  4.27it/s]

train:  56%|█████▌    | 1969/3515 [09:49<06:02,  4.27it/s]
overall:  49%|████▉     | 1970/4000 [09:51<07:41,  4.39it/s]

train:  56%|█████▌    | 1970/3515 [09:49<05:51,  4.39it/s]
overall:  49%|████▉     | 1971/4000 [09:51<07:32,  4.48it/s]

train:  56%|█████▌    | 1971/3515 [09:49<05:44,  4.48it/s]
overall:  49%|████▉     | 1972/4000 [09:51<07:17,  4.63it/s]

train:  56%|█████▌    | 1972/3515 [09:49<05:33,  4.63it/s]
overall:  49%|████▉     | 1973/4000 [09:52<07:22,  4.58it/s]

train:  56%|█████▌    | 1973/3515 [09:49<05:36,  4.58it/s]
overall:  49%|████▉     | 1974/4000 [09:52<07:23,  4.57it/s]

train:  56%|█████▌    | 1974/3515 [09:50<05:37,  4.57it/s]
overall:  49%|████▉     | 1975/4000 [09:52<07:22,  4.58it/s]

train:  56%|█████▌    | 1975/3515 [09:50<05:36,  4.58it/s]
overall:  49%|████▉     | 1976/4000 [09:52<08:15,  4.09it/s]

train:  56%|█████▌    | 1976/3515 [09:50<06:16,  4.09it/s]
overall:  49%|████▉     | 1977/4000 [09:53<08:05,  4.17it/s]

train:  56%|█████▌    | 1977/3515 [09:50<06:08,  4.17it/s]
overall:  49%|████▉     | 1978/4000 [09:53<07:40,  4.39it/s]

train:  56%|█████▋    | 1978/3515 [09:51<05:50,  4.39it/s]
overall:  49%|████▉     | 1979/4000 [09:53<07:01,  4.79it/s]

train:  56%|█████▋    | 1979/3515 [09:51<05:20,  4.79it/s]
overall:  50%|████▉     | 1980/4000 [09:53<07:09,  4.71it/s]

train:  56%|█████▋    | 1980/3515 [09:51<05:26,  4.71it/s]
overall:  50%|████▉     | 1981/4000 [09:53<06:33,  5.13it/s]

train:  56%|█████▋    | 1981/3515 [09:51<04:58,  5.13it/s]
overall:  50%|████▉     | 1982/4000 [09:54<06:31,  5.15it/s]

train:  56%|█████▋    | 1982/3515 [09:51<04:57,  5.15it/s]
overall:  50%|████▉     | 1984/4000 [09:54<05:59,  5.60it/s]

train:  56%|█████▋    | 1984/3515 [09:52<04:33,  5.60it/s]
overall:  50%|████▉     | 1985/4000 [09:54<06:16,  5.35it/s]

train:  56%|█████▋    | 1985/3515 [09:52<04:45,  5.36it/s]
overall:  50%|████▉     | 1986/4000 [09:54<05:39,  5.94it/s]

train:  57%|█████▋    | 1986/3515 [09:52<04:17,  5.94it/s]
overall:  50%|████▉     | 1987/4000 [09:54<05:58,  5.62it/s]

train:  57%|█████▋    | 1987/3515 [09:52<04:32,  5.62it/s]
overall:  50%|████▉     | 1988/4000 [09:55<06:19,  5.31it/s]

train:  57%|█████▋    | 1988/3515 [09:52<04:47,  5.31it/s]
overall:  50%|████▉     | 1989/4000 [09:55<06:32,  5.13it/s]

train:  57%|█████▋    | 1989/3515 [09:53<04:57,  5.13it/s]
overall:  50%|████▉     | 1990/4000 [09:55<07:55,  4.23it/s]

train:  57%|█████▋    | 1990/3515 [09:53<06:00,  4.23it/s]
overall:  50%|████▉     | 1991/4000 [09:55<08:48,  3.80it/s]

train:  57%|█████▋    | 1991/3515 [09:53<06:40,  3.80it/s]
overall:  50%|████▉     | 1992/4000 [09:56<07:24,  4.52it/s]

train:  57%|█████▋    | 1992/3515 [09:53<05:36,  4.52it/s]
overall:  50%|████▉     | 1993/4000 [09:56<07:53,  4.24it/s]

train:  57%|█████▋    | 1993/3515 [09:54<05:59,  4.24it/s]
overall:  50%|████▉     | 1994/4000 [09:56<07:32,  4.44it/s]

train:  57%|█████▋    | 1994/3515 [09:54<05:42,  4.44it/s]
overall:  50%|████▉     | 1995/4000 [09:56<07:19,  4.57it/s]

train:  57%|█████▋    | 1995/3515 [09:54<05:32,  4.57it/s]
overall:  50%|████▉     | 1996/4000 [09:56<07:06,  4.70it/s]

train:  57%|█████▋    | 1996/3515 [09:54<05:23,  4.70it/s]
overall:  50%|████▉     | 1997/4000 [09:57<07:08,  4.68it/s]

train:  57%|█████▋    | 1997/3515 [09:55<05:24,  4.68it/s]
overall:  50%|████▉     | 1998/4000 [09:57<07:03,  4.72it/s]

train:  57%|█████▋    | 1998/3515 [09:55<05:21,  4.72it/s]
overall:  50%|████▉     | 1999/4000 [09:57<06:58,  4.78it/s]

train:  57%|█████▋    | 1999/3515 [09:55<05:16,  4.78it/s]dev loss: 2.3149662017822266
dev per: 0.5830593132154006
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.0571820735931396
train per: 0.5505847879354333
train loss: 2.036409854888916
train per: 0.5546197360150849
train loss: 2.104884386062622
train per: 0.5493571037753054
train loss: 2.048454761505127
train per: 0.5447628072913764
train loss: 2.1072945594787598
train per: 0.5479815455594003
train loss: 2.0729613304138184
train per: 0.5434935356942102
train loss: 2.048037052154541
train per: 0.5448820938066856
train loss: 2.056814670562744
train per: 0.5418696940774602
train loss: 2.0485661029815674
train per: 0.5416329059625375
train loss: 2.0476913452148438
train per: 0.5423034792133953
train loss: 2.0814108848571777
train per: 0.548077588394031
train loss: 2.034269094467163
train per: 0.5413506593884353
train loss: 2.0650038719177246
train per: 0.5445709946848899
train loss: 2.0131421089172363
train per: 0.5364513981358189
train loss: 2.0421764850616455
train per: 0.5408619198616316
train loss: 2.090585470199585
train per: 0.5481420152924561
train loss: 2.0743794441223145
train per: 0.5475372540097827
train loss: 2.0215888023376465
train per: 0.5412395609306483
train loss: 2.0698039531707764
train per: 0.5469232165547286
train loss: 2.0592782497406006
train per: 0.5420961604980975
train loss: 2.017878770828247
train per: 0.5407129363852702
train loss: 2.0313518047332764
train per: 0.5417511295640494
train loss: 2.010387420654297
train per: 0.5448020129784135
train loss: 2.076570987701416
train per: 0.5441050731521946
train loss: 2.090489625930786
train per: 0.5538981074317922
train loss: 2.062511920928955
train per: 0.5419021364576154
train loss: 2.0461952686309814
train per: 0.5408268035666036
train loss: 2.1042752265930176
train per: 0.5553294688276351
train loss: 2.0810647010803223
train per: 0.5495779850833509
train loss: 2.073904275894165
train per: 0.5473616822199788
train loss: 2.0424396991729736
train per: 0.5415929203539823
train loss: 2.06887149810791
train per: 0.5511539116266628
train loss: 2.0675952434539795
train per: 0.5449723247232472
train loss: 2.0638720989227295
train per: 0.547331833980781
train loss: 2.0143818855285645
train per: 0.5350582896864666
train loss: 2.006389617919922
train per: 0.5507827818165365
train loss: 2.0859901905059814
train per: 0.5556381397324273
train loss: 2.032731056213379
train per: 0.5420254609524282
train loss: 2.024367094039917
train per: 0.5437517016063164
train loss: 2.1144187450408936
train per: 0.5495239415788501
train loss: 2.073204278945923
train per: 0.5423728813559322
train loss: 2.0597310066223145
train per: 0.5466234634572854
train loss: 2.0302512645721436
train per: 0.5361232822146983
train loss: 2.00146746635437
train per: 0.5335802095929061
train loss: 2.044956684112549
train per: 0.5362026139239037
train loss: 2.043379068374634
train per: 0.5437361107392433
train loss: 2.0400390625
train per: 0.54210004952947
train loss: 2.0877845287323
train per: 0.5470031984424976
train loss: 1.995038628578186
train per: 0.529336065964444
train loss: 2.033376455307007
train per: 0.5341643470894348
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▍        | 389/2703 [00:00<00:00, 3879.47it/s]


word -> phonemes:  30%|███       | 816/2703 [00:00<00:00, 4107.08it/s]


word -> phonemes:  48%|████▊     | 1310/2703 [00:00<00:00, 4484.40it/s]


word -> phonemes:  67%|██████▋   | 1810/2703 [00:00<00:00, 4675.18it/s]


word -> phonemes:  84%|████████▍ | 2278/2703 [00:00<00:00, 4433.45it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4545.55it/s]



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


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train:  85%|████████▌ | 2999/3515 [16:25<02:13,  3.88it/s]dev loss: 2.3090057373046875
dev per: 0.5823621227887618
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.989565134048462
train per: 0.5335612934492878
train loss: 1.9990599155426025
train per: 0.5455721995814518
train loss: 2.031104326248169
train per: 0.5390210674840656
train loss: 2.0593550205230713
train per: 0.5439316723291808
train loss: 2.0172972679138184
train per: 0.5373677908601078
train loss: 2.0089757442474365
train per: 0.5322502925586838
train loss: 2.043546676635742
train per: 0.5405849105279205
train loss: 2.067045211791992
train per: 0.5428912783751494
train loss: 1.9886534214019775
train per: 0.5321520712651512
train loss: 2.019587755203247
train per: 0.5339142442206509
train loss: 2.0251221656799316
train per: 0.5352626031969084
train loss: 2.037128210067749
train per: 0.5397460738323475
train loss: 2.102841854095459
train per: 0.5536248930710008
train loss: 2.04622220993042
train per: 0.5390755792793885
train loss: 2.004373073577881
train per: 0.5402269503546099
train loss: 2.056832790374756
train per: 0.5426153173316869
train loss: 2.0817275047302246
train per: 0.5506738854970625
train loss: 2.0485329627990723
train per: 0.5438807344141564
train loss: 2.0258145332336426
train per: 0.5375668926150553
train loss: 2.03507399559021
train per: 0.5373507645496506
train loss: 2.025139331817627
train per: 0.5404339250493096
train loss: 2.0872223377227783
train per: 0.5482859433206017
train loss: 2.086519241333008
train per: 0.5484418110271835
train loss: 2.039206027984619
train per: 0.5473026530517089
train loss: 2.023538112640381
train per: 0.5378966552315609
train loss: 2.012525796890259
train per: 0.5360751048417842
train loss: 1.9878528118133545
train per: 0.532358982834746
train loss: 2.00169038772583
train per: 0.5300254208834956
train loss: 1.9967275857925415
train per: 0.5326857312781881
train loss: 2.07594633102417
train per: 0.5417055251006528
train loss: 1.996335744857788
train per: 0.530303873552983
train loss: 2.000135660171509
train per: 0.5359014742712556
train loss: 2.0098118782043457
train per: 0.5367047308319739
train loss: 2.019662380218506
train per: 0.5401137873129652
train loss: 2.0471296310424805
train per: 0.5398482469911041
train loss: 2.022148370742798
train per: 0.5406717035239619
train loss: 2.066249370574951
train per: 0.5497719146837627
train loss: 1.9992763996124268
train per: 0.5372713486873282
train loss: 2.0291714668273926
train per: 0.5382106491302503
train loss: 2.005037784576416
train per: 0.5370782582597604
train loss: 1.9929444789886475
train per: 0.5356983045791279
train loss: 2.0163846015930176
train per: 0.5436276824597304
train loss: 2.00842547416687
train per: 0.5423932491254306
train loss: 2.076075315475464
train per: 0.5425830123749402
train loss: 2.002375841140747
train per: 0.5359490656866297
train loss: 2.0346548557281494
train per: 0.5330083739532558
train loss: 2.045003652572632
train per: 0.545347128159313
train loss: 2.0736184120178223
train per: 0.5496978065509202
train loss: 2.028076648712158
train per: 0.541213299336043
train loss: 2.079244375228882
train per: 0.5522980570075945
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 406/2703 [00:00<00:00, 4059.26it/s]


word -> phonemes:  32%|███▏      | 866/2703 [00:00<00:00, 4346.27it/s]


word -> phonemes:  48%|████▊     | 1301/2703 [00:00<00:00, 3949.62it/s]


word -> phonemes:  66%|██████▋   | 1795/2703 [00:00<00:00, 4313.13it/s]


word -> phonemes:  83%|████████▎ | 2231/2703 [00:00<00:00, 4146.45it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4320.99it/s]



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overall:  88%|████████▊ | 3515/4000 [21:17<01:32,  5.25it/s]

train: 100%|██████████| 3515/3515 [21:15<00:00,  5.25it/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 [21:15<00:00,  2.76it/s]
dev loss: 2.2904293537139893
dev per: 0.5822892819979189
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9790340662002563
train per: 0.5308048566779322
train loss: 2.0213027000427246
train per: 0.5409912122700726
train loss: 1.9945777654647827
train per: 0.5356308411214953
train loss: 1.992664098739624
train per: 0.529159735873784
train loss: 2.020595073699951
train per: 0.5328188983833172
train loss: 2.0186071395874023
train per: 0.5393266984868488
train loss: 1.9808475971221924
train per: 0.5312295370976678
train loss: 2.0427300930023193
train per: 0.5367786556518815
train loss: 2.066317081451416
train per: 0.5451037024126684
train loss: 1.996777892112732
train per: 0.5322381246731016
train loss: 2.0346550941467285
train per: 0.5409831561014481
train loss: 2.068650245666504
train per: 0.5449106028126546
train loss: 1.9818971157073975
train per: 0.5340797584601836
train loss: 2.0018179416656494
train per: 0.5342891166787307
train loss: 2.0254170894622803
train per: 0.5393239132567952
train loss: 2.0480964183807373
train per: 0.5394223974835313
train loss: 2.0438790321350098
train per: 0.5353514552443712
train loss: 2.0184121131896973
train per: 0.5388522358362132
train loss: 2.0488014221191406
train per: 0.5453395191902151
train loss: 2.0351319313049316
train per: 0.5437972069771233
train loss: 2.0529587268829346
train per: 0.549276399053541
train loss: 2.0705771446228027
train per: 0.5471614927773023
train loss: 2.081855058670044
train per: 0.5441369594804326
train loss: 2.033930778503418
train per: 0.5441161916072842
train loss: 2.053696393966675
train per: 0.5405890550083847
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 372/3515 [00:00<00:00, 3615.56it/s]

word -> phonemes:  23%|██▎       | 814/3515 [00:00<00:00, 4081.95it/s]

word -> phonemes:  35%|███▍      | 1223/3515 [00:00<00:00, 4062.65it/s]

word -> phonemes:  47%|████▋     | 1641/3515 [00:00<00:00, 4108.10it/s]

word -> phonemes:  59%|█████▉    | 2071/3515 [00:00<00:00, 4175.57it/s]

word -> phonemes:  72%|███████▏  | 2521/3515 [00:00<00:00, 4283.85it/s]

word -> phonemes:  84%|████████▍ | 2950/3515 [00:00<00:00, 4185.87it/s]

word -> phonemes:  96%|█████████▌| 3370/3515 [00:00<00:00, 4030.72it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4025.69it/s]


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overall:  88%|████████▊ | 3520/4000 [21:21<03:43,  2.15it/s]

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overall:  88%|████████▊ | 3524/4000 [21:22<02:10,  3.65it/s]

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overall:  88%|████████▊ | 3527/4000 [21:23<01:41,  4.65it/s]

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overall:  88%|████████▊ | 3528/4000 [21:23<01:50,  4.26it/s]

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overall:  88%|████████▊ | 3529/4000 [21:23<01:49,  4.28it/s]

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overall:  88%|████████▊ | 3530/4000 [21:24<02:03,  3.80it/s]

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overall:  88%|████████▊ | 3531/4000 [21:24<01:55,  4.05it/s]

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overall:  88%|████████▊ | 3532/4000 [21:24<01:51,  4.19it/s]

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overall:  88%|████████▊ | 3533/4000 [21:24<01:42,  4.54it/s]

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overall:  88%|████████▊ | 3534/4000 [21:24<01:41,  4.59it/s]

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overall:  88%|████████▊ | 3535/4000 [21:25<01:42,  4.56it/s]

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overall:  88%|████████▊ | 3536/4000 [21:25<01:41,  4.56it/s]

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overall:  88%|████████▊ | 3537/4000 [21:25<01:26,  5.37it/s]

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overall:  88%|████████▊ | 3538/4000 [21:25<01:30,  5.10it/s]

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overall:  88%|████████▊ | 3539/4000 [21:25<01:34,  4.88it/s]

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overall:  88%|████████▊ | 3540/4000 [21:26<01:37,  4.72it/s]

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overall:  89%|████████▊ | 3541/4000 [21:26<01:36,  4.74it/s]

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overall:  89%|████████▊ | 3542/4000 [21:26<01:47,  4.26it/s]

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overall:  89%|████████▊ | 3543/4000 [21:26<01:29,  5.08it/s]

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overall:  89%|████████▊ | 3544/4000 [21:26<01:31,  5.00it/s]

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overall:  89%|████████▊ | 3545/4000 [21:27<01:17,  5.86it/s]

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overall:  89%|████████▊ | 3546/4000 [21:27<01:23,  5.47it/s]

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overall:  89%|████████▊ | 3547/4000 [21:27<01:27,  5.16it/s]

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overall:  89%|████████▊ | 3548/4000 [21:27<01:29,  5.06it/s]

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overall:  89%|████████▊ | 3549/4000 [21:27<01:30,  5.01it/s]

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overall:  89%|████████▉ | 3550/4000 [21:28<01:26,  5.17it/s]

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overall:  89%|████████▉ | 3551/4000 [21:28<01:29,  5.02it/s]

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overall:  89%|████████▉ | 3552/4000 [21:28<01:42,  4.37it/s]

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overall:  89%|████████▉ | 3553/4000 [21:28<01:42,  4.37it/s]

train:   1%|          | 38/3515 [00:09<13:14,  4.37it/s]
overall:  89%|████████▉ | 3554/4000 [21:29<01:49,  4.06it/s]

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overall:  89%|████████▉ | 3556/4000 [21:29<01:30,  4.90it/s]

train:   1%|          | 41/3515 [00:09<11:48,  4.90it/s]
overall:  89%|████████▉ | 3557/4000 [21:29<01:32,  4.80it/s]

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overall:  89%|████████▉ | 3558/4000 [21:29<01:32,  4.79it/s]

train:   1%|          | 43/3515 [00:10<12:04,  4.79it/s]
overall:  89%|████████▉ | 3559/4000 [21:29<01:21,  5.42it/s]

train:   1%|▏         | 44/3515 [00:10<10:39,  5.42it/s]
overall:  89%|████████▉ | 3560/4000 [21:30<01:25,  5.14it/s]

train:   1%|▏         | 45/3515 [00:10<11:15,  5.14it/s]
overall:  89%|████████▉ | 3561/4000 [21:30<01:28,  4.96it/s]

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overall:  89%|████████▉ | 3562/4000 [21:30<01:29,  4.90it/s]

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overall:  89%|████████▉ | 3563/4000 [21:30<01:19,  5.47it/s]

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overall:  89%|████████▉ | 3564/4000 [21:31<01:35,  4.55it/s]

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overall:  89%|████████▉ | 3565/4000 [21:31<01:22,  5.26it/s]

train:   1%|▏         | 50/3515 [00:11<10:59,  5.26it/s]
overall:  89%|████████▉ | 3566/4000 [21:31<01:39,  4.36it/s]

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overall:  89%|████████▉ | 3567/4000 [21:31<01:34,  4.57it/s]

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overall:  89%|████████▉ | 3569/4000 [21:31<01:21,  5.29it/s]

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overall:  89%|████████▉ | 3570/4000 [21:32<01:24,  5.11it/s]

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overall:  89%|████████▉ | 3571/4000 [21:32<01:26,  4.93it/s]

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overall:  89%|████████▉ | 3572/4000 [21:32<01:28,  4.82it/s]

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overall:  89%|████████▉ | 3573/4000 [21:32<01:28,  4.82it/s]

train:   2%|▏         | 58/3515 [00:13<11:57,  4.82it/s]
overall:  89%|████████▉ | 3574/4000 [21:33<01:29,  4.76it/s]

train:   2%|▏         | 59/3515 [00:13<12:05,  4.76it/s]
overall:  89%|████████▉ | 3575/4000 [21:33<01:28,  4.79it/s]

train:   2%|▏         | 60/3515 [00:13<12:01,  4.79it/s]
overall:  89%|████████▉ | 3576/4000 [21:33<01:41,  4.18it/s]

train:   2%|▏         | 61/3515 [00:13<13:46,  4.18it/s]
overall:  89%|████████▉ | 3577/4000 [21:33<01:35,  4.44it/s]

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train:   2%|▏         | 63/3515 [00:14<14:18,  4.02it/s]
overall:  89%|████████▉ | 3579/4000 [21:34<01:39,  4.22it/s]

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overall:  90%|████████▉ | 3580/4000 [21:34<01:37,  4.29it/s]

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overall:  90%|████████▉ | 3590/4000 [21:36<01:38,  4.17it/s]

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overall:  90%|████████▉ | 3592/4000 [21:36<01:26,  4.70it/s]

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overall:  90%|████████▉ | 3593/4000 [21:37<01:26,  4.70it/s]

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overall:  90%|████████▉ | 3596/4000 [21:37<01:17,  5.20it/s]

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overall:  90%|████████▉ | 3598/4000 [21:38<01:20,  4.97it/s]

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overall:  90%|████████▉ | 3599/4000 [21:38<01:17,  5.19it/s]

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overall:  90%|█████████ | 3601/4000 [21:38<01:30,  4.40it/s]

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overall:  90%|█████████ | 3602/4000 [21:39<01:37,  4.08it/s]

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overall:  90%|█████████ | 3604/4000 [21:39<01:32,  4.27it/s]

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overall:  90%|█████████ | 3606/4000 [21:39<01:13,  5.37it/s]

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overall:  90%|█████████ | 3607/4000 [21:40<01:15,  5.23it/s]

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overall:  90%|█████████ | 3608/4000 [21:40<01:11,  5.46it/s]

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overall:  90%|█████████ | 3609/4000 [21:40<01:13,  5.35it/s]

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overall:  90%|█████████ | 3610/4000 [21:40<01:14,  5.24it/s]

train:   3%|▎         | 95/3515 [00:21<10:53,  5.24it/s]
overall:  90%|█████████ | 3611/4000 [21:40<01:16,  5.07it/s]

train:   3%|▎         | 96/3515 [00:21<11:13,  5.07it/s]
overall:  90%|█████████ | 3612/4000 [21:41<01:29,  4.35it/s]

train:   3%|▎         | 97/3515 [00:21<13:05,  4.35it/s]
overall:  90%|█████████ | 3613/4000 [21:41<01:25,  4.51it/s]

train:   3%|▎         | 98/3515 [00:21<12:37,  4.51it/s]
overall:  90%|█████████ | 3614/4000 [21:41<01:36,  3.98it/s]

train:   3%|▎         | 99/3515 [00:22<14:18,  3.98it/s]
overall:  90%|█████████ | 3615/4000 [21:41<01:32,  4.18it/s]

train:   3%|▎         | 100/3515 [00:22<13:36,  4.18it/s]
overall:  90%|█████████ | 3616/4000 [21:42<01:29,  4.31it/s]

train:   3%|▎         | 101/3515 [00:22<13:12,  4.31it/s]
overall:  90%|█████████ | 3617/4000 [21:42<01:25,  4.46it/s]

train:   3%|▎         | 102/3515 [00:22<12:45,  4.46it/s]
overall:  90%|█████████ | 3618/4000 [21:42<01:26,  4.40it/s]

train:   3%|▎         | 103/3515 [00:22<12:55,  4.40it/s]
overall:  90%|█████████ | 3619/4000 [21:42<01:27,  4.37it/s]

train:   3%|▎         | 104/3515 [00:23<13:01,  4.37it/s]
overall:  90%|█████████ | 3620/4000 [21:42<01:25,  4.42it/s]

train:   3%|▎         | 105/3515 [00:23<12:51,  4.42it/s]
overall:  91%|█████████ | 3621/4000 [21:43<01:24,  4.49it/s]

train:   3%|▎         | 106/3515 [00:23<12:39,  4.49it/s]
overall:  91%|█████████ | 3622/4000 [21:43<01:21,  4.62it/s]

train:   3%|▎         | 107/3515 [00:23<12:16,  4.62it/s]
overall:  91%|█████████ | 3623/4000 [21:43<01:20,  4.71it/s]

train:   3%|▎         | 108/3515 [00:24<12:03,  4.71it/s]
overall:  91%|█████████ | 3624/4000 [21:43<01:30,  4.13it/s]

train:   3%|▎         | 109/3515 [00:24<13:43,  4.13it/s]
overall:  91%|█████████ | 3625/4000 [21:44<01:27,  4.29it/s]

train:   3%|▎         | 110/3515 [00:24<13:13,  4.29it/s]
overall:  91%|█████████ | 3626/4000 [21:44<01:34,  3.97it/s]

train:   3%|▎         | 111/3515 [00:24<14:17,  3.97it/s]
overall:  91%|█████████ | 3627/4000 [21:44<01:29,  4.17it/s]

train:   3%|▎         | 112/3515 [00:25<13:36,  4.17it/s]
overall:  91%|█████████ | 3629/4000 [21:44<01:13,  5.05it/s]

train:   3%|▎         | 114/3515 [00:25<11:13,  5.05it/s]
overall:  91%|█████████ | 3630/4000 [21:45<01:13,  5.02it/s]

train:   3%|▎         | 115/3515 [00:25<11:17,  5.02it/s]
overall:  91%|█████████ | 3631/4000 [21:45<01:11,  5.13it/s]

train:   3%|▎         | 116/3515 [00:25<11:02,  5.13it/s]
overall:  91%|█████████ | 3632/4000 [21:45<01:12,  5.04it/s]

train:   3%|▎         | 117/3515 [00:25<11:13,  5.04it/s]
overall:  91%|█████████ | 3633/4000 [21:45<01:14,  4.94it/s]

train:   3%|▎         | 118/3515 [00:26<11:27,  4.94it/s]
overall:  91%|█████████ | 3634/4000 [21:45<01:16,  4.80it/s]

train:   3%|▎         | 119/3515 [00:26<11:47,  4.80it/s]
overall:  91%|█████████ | 3635/4000 [21:46<01:16,  4.80it/s]

train:   3%|▎         | 120/3515 [00:26<11:46,  4.80it/s]
overall:  91%|█████████ | 3636/4000 [21:46<01:25,  4.24it/s]

train:   3%|▎         | 121/3515 [00:26<13:20,  4.24it/s]
overall:  91%|█████████ | 3637/4000 [21:46<01:23,  4.36it/s]

train:   3%|▎         | 122/3515 [00:27<12:58,  4.36it/s]
overall:  91%|█████████ | 3638/4000 [21:46<01:28,  4.07it/s]

train:   3%|▎         | 123/3515 [00:27<13:53,  4.07it/s]
overall:  91%|█████████ | 3639/4000 [21:47<01:24,  4.25it/s]

train:   4%|▎         | 124/3515 [00:27<13:16,  4.26it/s]
overall:  91%|█████████ | 3640/4000 [21:47<01:22,  4.34it/s]

train:   4%|▎         | 125/3515 [00:27<13:00,  4.34it/s]
overall:  91%|█████████ | 3641/4000 [21:47<01:20,  4.47it/s]

train:   4%|▎         | 126/3515 [00:28<12:38,  4.47it/s]
overall:  91%|█████████ | 3642/4000 [21:47<01:19,  4.50it/s]

train:   4%|▎         | 127/3515 [00:28<12:33,  4.50it/s]
overall:  91%|█████████ | 3643/4000 [21:48<01:19,  4.51it/s]

train:   4%|▎         | 128/3515 [00:28<12:31,  4.51it/s]
overall:  91%|█████████ | 3644/4000 [21:48<01:27,  4.05it/s]

train:   4%|▎         | 129/3515 [00:28<13:55,  4.05it/s]
overall:  91%|█████████ | 3645/4000 [21:48<01:25,  4.17it/s]

train:   4%|▎         | 130/3515 [00:29<13:31,  4.17it/s]
overall:  91%|█████████ | 3646/4000 [21:48<01:23,  4.24it/s]

train:   4%|▎         | 131/3515 [00:29<13:17,  4.24it/s]
overall:  91%|█████████ | 3647/4000 [21:48<01:14,  4.77it/s]

train:   4%|▍         | 132/3515 [00:29<11:49,  4.77it/s]
overall:  91%|█████████ | 3648/4000 [21:49<01:06,  5.26it/s]

train:   4%|▍         | 133/3515 [00:29<10:43,  5.26it/s]
overall:  91%|█████████ | 3649/4000 [21:49<01:08,  5.14it/s]

train:   4%|▍         | 134/3515 [00:29<10:58,  5.14it/s]
overall:  91%|█████████▏| 3650/4000 [21:49<01:24,  4.13it/s]

train:   4%|▍         | 135/3515 [00:30<13:37,  4.13it/s]
overall:  91%|█████████▏| 3651/4000 [21:49<01:13,  4.77it/s]

train:   4%|▍         | 136/3515 [00:30<11:47,  4.77it/s]
overall:  91%|█████████▏| 3652/4000 [21:50<01:12,  4.79it/s]

train:   4%|▍         | 137/3515 [00:30<11:45,  4.79it/s]
overall:  91%|█████████▏| 3653/4000 [21:50<01:13,  4.73it/s]

train:   4%|▍         | 138/3515 [00:30<11:53,  4.73it/s]
overall:  91%|█████████▏| 3655/4000 [21:50<01:00,  5.68it/s]

train:   4%|▍         | 140/3515 [00:30<09:54,  5.68it/s]
overall:  91%|█████████▏| 3656/4000 [21:50<01:03,  5.38it/s]

train:   4%|▍         | 141/3515 [00:31<10:26,  5.38it/s]
overall:  91%|█████████▏| 3657/4000 [21:50<01:08,  5.03it/s]

train:   4%|▍         | 142/3515 [00:31<11:10,  5.03it/s]
overall:  91%|█████████▏| 3658/4000 [21:51<01:08,  4.99it/s]

train:   4%|▍         | 143/3515 [00:31<11:16,  4.99it/s]
overall:  91%|█████████▏| 3659/4000 [21:51<01:08,  4.97it/s]

train:   4%|▍         | 144/3515 [00:31<11:18,  4.97it/s]
overall:  92%|█████████▏| 3660/4000 [21:51<01:09,  4.87it/s]

train:   4%|▍         | 145/3515 [00:31<11:31,  4.87it/s]
overall:  92%|█████████▏| 3661/4000 [21:51<01:10,  4.79it/s]

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overall:  92%|█████████▏| 3662/4000 [21:52<01:15,  4.49it/s]

train:   4%|▍         | 147/3515 [00:32<12:30,  4.49it/s]
overall:  92%|█████████▏| 3663/4000 [21:52<01:03,  5.35it/s]

train:   4%|▍         | 148/3515 [00:32<10:29,  5.35it/s]
overall:  92%|█████████▏| 3664/4000 [21:52<01:05,  5.11it/s]

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overall:  92%|█████████▏| 3665/4000 [21:52<01:07,  4.99it/s]

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overall:  92%|█████████▏| 3666/4000 [21:52<01:07,  4.93it/s]

train:   4%|▍         | 151/3515 [00:33<11:22,  4.93it/s]
overall:  92%|█████████▏| 3668/4000 [21:52<00:48,  6.90it/s]

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overall:  92%|█████████▏| 3669/4000 [21:53<00:52,  6.28it/s]

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overall:  92%|█████████▏| 3670/4000 [21:53<00:57,  5.71it/s]

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overall:  92%|█████████▏| 3671/4000 [21:53<01:01,  5.35it/s]

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overall:  92%|█████████▏| 3672/4000 [21:53<01:03,  5.14it/s]

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overall:  92%|█████████▏| 3674/4000 [21:54<01:11,  4.54it/s]

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overall:  92%|█████████▏| 3675/4000 [21:54<01:11,  4.54it/s]

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overall:  92%|█████████▏| 3676/4000 [21:54<01:10,  4.61it/s]

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overall:  92%|█████████▏| 3677/4000 [21:54<01:08,  4.70it/s]

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overall:  92%|█████████▏| 3680/4000 [21:55<01:10,  4.56it/s]

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overall:  92%|█████████▏| 3681/4000 [21:55<01:12,  4.38it/s]

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overall:  92%|█████████▏| 3683/4000 [21:56<01:02,  5.05it/s]

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overall:  92%|█████████▏| 3684/4000 [21:56<01:03,  5.01it/s]

train:   5%|▍         | 169/3515 [00:36<11:07,  5.01it/s]
overall:  92%|█████████▏| 3685/4000 [21:56<01:02,  5.04it/s]

train:   5%|▍         | 170/3515 [00:36<11:03,  5.04it/s]
overall:  92%|█████████▏| 3686/4000 [21:56<01:17,  4.07it/s]

train:   5%|▍         | 171/3515 [00:37<13:40,  4.07it/s]
overall:  92%|█████████▏| 3687/4000 [21:57<01:10,  4.46it/s]

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overall:  92%|█████████▏| 3688/4000 [21:57<01:06,  4.71it/s]

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overall:  92%|█████████▏| 3695/4000 [21:58<00:58,  5.19it/s]

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overall:  92%|█████████▏| 3699/4000 [21:59<01:02,  4.81it/s]

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overall:  92%|█████████▎| 3700/4000 [21:59<01:01,  4.87it/s]

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overall:  93%|█████████▎| 3701/4000 [21:59<01:01,  4.84it/s]

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overall:  93%|█████████▎| 3702/4000 [22:00<00:58,  5.06it/s]

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overall: 100%|█████████▉| 3997/4000 [23:03<00:00,  4.96it/s]

train:  14%|█▎        | 482/3515 [01:43<10:11,  4.96it/s]
overall: 100%|█████████▉| 3998/4000 [23:03<00:00,  4.82it/s]

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overall: 100%|█████████▉| 3999/4000 [23:03<00:00,  4.96it/s]

train:  14%|█▍        | 484/3515 [01:43<10:11,  4.96it/s]train loss: 2.0235934257507324
train per: 0.5348896090743367
train loss: 2.0135552883148193
train per: 0.5443929996214437
train loss: 2.006094455718994
train per: 0.5385281164880482
train loss: 2.0678887367248535
train per: 0.5434042553191489
train loss: 2.043562173843384
train per: 0.5462129472322945
train loss: 2.028651714324951
train per: 0.5389500843505012
train loss: 2.0372939109802246
train per: 0.5400344234079174
train loss: 2.017305374145508
train per: 0.5369339935678187
train loss: 2.068540096282959
train per: 0.5620796820868148
train loss: 2.034715175628662
train per: 0.545433424544375
train loss: 2.0430495738983154
train per: 0.5390541630878947
train loss: 2.07270884513855
train per: 0.5451137884872824
train loss: 2.0028114318847656
train per: 0.5346187775677379
train loss: 2.036991834640503
train per: 0.5390117204834373
train loss: 2.078174352645874
train per: 0.5491990846681922
train loss: 2.0153238773345947
train per: 0.5382740498133902
train loss: 2.000277042388916
train per: 0.5373134328358209
train loss: 2.0193395614624023
train per: 0.5342254123686837
train loss: 2.0356671810150146
train per: 0.53897962204569
train loss: 1.9923149347305298
train per: 0.5284495852319196
train loss: 2.015911817550659
train per: 0.5381817256817257
train loss: 2.020188808441162
train per: 0.5354731965585705
train loss: 2.0368361473083496
train per: 0.543075713162222
train loss: 2.013760566711426
train per: 0.5347208714257926
train loss: 2.0195298194885254
train per: 0.5344528657056522
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▎        | 369/2703 [00:00<00:00, 3570.78it/s]


word -> phonemes:  27%|██▋       | 727/2703 [00:00<00:00, 3476.64it/s]


word -> phonemes:  42%|████▏     | 1145/2703 [00:00<00:00, 3675.74it/s]


word -> phonemes:  60%|██████    | 1629/2703 [00:00<00:00, 4119.47it/s]


word -> phonemes:  76%|███████▌  | 2043/2703 [00:00<00:00, 3902.42it/s]


word -> phonemes:  91%|█████████ | 2461/2703 [00:00<00:00, 3991.25it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3855.68it/s]



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


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overall: 100%|█████████▉| 3999/4000 [26:05<00:00,  4.96it/s]

train:  14%|█▍        | 484/3515 [04:45<10:11,  4.96it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:05<00:00,  4.96it/s]

train:  14%|█▍        | 484/3515 [04:45<10:11,  4.96it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:05<00:00,  4.96it/s]

train:  14%|█▍        | 484/3515 [04:45<10:11,  4.96it/s]
overall: 100%|██████████| 4000/4000 [26:05<00:00, 54.73s/it]

train:  14%|█▍        | 485/3515 [04:45<46:04:03, 54.73s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:46<29:47,  1.69it/s]   

overall: 100%|██████████| 4000/4000 [26:05<00:00,  2.55it/s]
dev loss: 2.312993049621582
dev per: 0.5818626430801249
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
2. result/downstream/grid/states-4000.ckpt