/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] - 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_speech_test_nocqt {'model_config': None, 'refresh': False}
Loading model from Local mert_speech_test_nocqt
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:  11%|█         | 372/3515 [00:00<00:00, 3717.59it/s]

word -> phonemes:  21%|██        | 744/3515 [00:00<00:00, 3175.76it/s]

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word -> phonemes:  61%|██████▏   | 2156/3515 [00:00<00:00, 3465.96it/s]

word -> phonemes:  72%|███████▏  | 2539/3515 [00:00<00:00, 3580.85it/s]

word -> phonemes:  83%|████████▎ | 2929/3515 [00:00<00:00, 3660.80it/s]

word -> phonemes:  94%|█████████▍| 3315/3515 [00:00<00:00, 3719.59it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3486.53it/s]


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train:   3%|▎         | 123/3515 [00:26<14:47,  3.82it/s]
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overall:   3%|▎         | 127/4000 [00:29<14:41,  4.39it/s]

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overall:   3%|▎         | 132/4000 [00:30<12:47,  5.04it/s]

train:   4%|▍         | 132/3515 [00:27<11:11,  5.04it/s]
overall:   3%|▎         | 133/4000 [00:30<13:03,  4.94it/s]

train:   4%|▍         | 133/3515 [00:28<11:25,  4.94it/s]
overall:   3%|▎         | 134/4000 [00:30<13:20,  4.83it/s]

train:   4%|▍         | 134/3515 [00:28<11:40,  4.83it/s]
overall:   3%|▎         | 135/4000 [00:30<12:59,  4.96it/s]

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overall:   3%|▎         | 136/4000 [00:31<12:44,  5.06it/s]

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train:   4%|▍         | 144/3515 [00:30<11:29,  4.89it/s]
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train:   4%|▍         | 145/3515 [00:30<09:51,  5.69it/s]
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train:   4%|▍         | 148/3515 [00:31<11:37,  4.83it/s]
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train:   4%|▍         | 149/3515 [00:31<11:55,  4.71it/s]
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train:   4%|▍         | 152/3515 [00:31<10:28,  5.35it/s]
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train:   4%|▍         | 153/3515 [00:32<10:41,  5.24it/s]
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train:   4%|▍         | 154/3515 [00:32<11:39,  4.81it/s]
overall:   4%|▍         | 155/4000 [00:34<13:22,  4.79it/s]

train:   4%|▍         | 155/3515 [00:32<11:41,  4.79it/s]
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train:   4%|▍         | 157/3515 [00:32<10:08,  5.51it/s]
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train:   4%|▍         | 158/3515 [00:33<10:27,  5.35it/s]
overall:   4%|▍         | 159/4000 [00:35<12:28,  5.13it/s]

train:   5%|▍         | 159/3515 [00:33<10:53,  5.13it/s]
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train:   5%|▍         | 160/3515 [00:33<11:06,  5.04it/s]
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train:   5%|▍         | 161/3515 [00:33<11:14,  4.98it/s]
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train:   5%|▍         | 162/3515 [00:33<11:14,  4.97it/s]
overall:   4%|▍         | 163/4000 [00:36<13:01,  4.91it/s]

train:   5%|▍         | 163/3515 [00:34<11:22,  4.91it/s]
overall:   4%|▍         | 164/4000 [00:36<13:09,  4.86it/s]

train:   5%|▍         | 164/3515 [00:34<11:29,  4.86it/s]
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train:   5%|▍         | 165/3515 [00:34<11:25,  4.89it/s]
overall:   4%|▍         | 166/4000 [00:36<12:54,  4.95it/s]

train:   5%|▍         | 166/3515 [00:34<11:16,  4.95it/s]
overall:   4%|▍         | 167/4000 [00:37<13:05,  4.88it/s]

train:   5%|▍         | 167/3515 [00:34<11:25,  4.88it/s]
overall:   4%|▍         | 168/4000 [00:37<13:34,  4.70it/s]

train:   5%|▍         | 168/3515 [00:35<11:51,  4.70it/s]
overall:   4%|▍         | 169/4000 [00:37<14:46,  4.32it/s]

train:   5%|▍         | 169/3515 [00:35<12:54,  4.32it/s]
overall:   4%|▍         | 170/4000 [00:38<17:43,  3.60it/s]

train:   5%|▍         | 170/3515 [00:35<15:28,  3.60it/s]
overall:   4%|▍         | 171/4000 [00:38<16:05,  3.97it/s]

train:   5%|▍         | 171/3515 [00:35<14:02,  3.97it/s]
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train:   5%|▍         | 173/3515 [00:36<10:08,  5.49it/s]
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train:   5%|▍         | 174/3515 [00:36<10:26,  5.33it/s]
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train:   5%|▍         | 175/3515 [00:36<11:08,  5.00it/s]
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train:   5%|▌         | 176/3515 [00:36<11:18,  4.92it/s]
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train:   5%|▌         | 177/3515 [00:37<11:28,  4.85it/s]
overall:   4%|▍         | 178/4000 [00:39<14:09,  4.50it/s]

train:   5%|▌         | 178/3515 [00:37<12:22,  4.50it/s]
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train:   5%|▌         | 179/3515 [00:37<12:05,  4.60it/s]
overall:   4%|▍         | 180/4000 [00:39<13:26,  4.73it/s]

train:   5%|▌         | 180/3515 [00:37<11:44,  4.73it/s]
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train:   5%|▌         | 181/3515 [00:37<11:44,  4.73it/s]
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train:   5%|▌         | 182/3515 [00:38<11:32,  4.81it/s]
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train:   5%|▌         | 183/3515 [00:38<11:35,  4.79it/s]
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train:   5%|▌         | 184/3515 [00:38<10:10,  5.45it/s]
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train:   5%|▌         | 185/3515 [00:38<10:16,  5.40it/s]
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train:   5%|▌         | 186/3515 [00:38<11:06,  5.00it/s]
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train:   5%|▌         | 187/3515 [00:39<11:07,  4.99it/s]
overall:   5%|▍         | 188/4000 [00:41<12:34,  5.05it/s]

train:   5%|▌         | 188/3515 [00:39<10:58,  5.05it/s]
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train:   5%|▌         | 189/3515 [00:39<11:15,  4.92it/s]
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train:   5%|▌         | 190/3515 [00:39<11:25,  4.85it/s]
overall:   5%|▍         | 191/4000 [00:42<12:57,  4.90it/s]

train:   5%|▌         | 191/3515 [00:39<11:18,  4.90it/s]
overall:   5%|▍         | 192/4000 [00:42<13:24,  4.73it/s]

train:   5%|▌         | 192/3515 [00:40<11:42,  4.73it/s]
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train:   5%|▌         | 193/3515 [00:40<12:36,  4.39it/s]
overall:   5%|▍         | 194/4000 [00:43<17:19,  3.66it/s]

train:   6%|▌         | 194/3515 [00:40<15:06,  3.66it/s]
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train:   6%|▌         | 195/3515 [00:40<13:25,  4.12it/s]
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train:   6%|▌         | 197/3515 [00:41<10:25,  5.30it/s]
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train:   6%|▌         | 198/3515 [00:41<10:34,  5.23it/s]
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train:   6%|▌         | 200/3515 [00:41<09:34,  5.77it/s]
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train:   6%|▋         | 224/3515 [00:46<11:11,  4.90it/s]
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train:   6%|▋         | 227/3515 [00:47<11:56,  4.59it/s]
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overall:  10%|▉         | 381/4000 [01:21<11:41,  5.16it/s]

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overall:  10%|▉         | 382/4000 [01:22<11:45,  5.13it/s]

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overall:  10%|▉         | 383/4000 [01:22<11:45,  5.12it/s]

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overall:  10%|▉         | 384/4000 [01:22<12:07,  4.97it/s]

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overall:  10%|▉         | 385/4000 [01:22<12:25,  4.85it/s]

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overall:  10%|▉         | 386/4000 [01:23<15:42,  3.84it/s]

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overall:  10%|▉         | 387/4000 [01:23<14:13,  4.24it/s]

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overall:  10%|▉         | 388/4000 [01:23<15:21,  3.92it/s]

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overall:  10%|▉         | 389/4000 [01:23<14:53,  4.04it/s]

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overall:  10%|▉         | 390/4000 [01:23<13:40,  4.40it/s]

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overall:  10%|▉         | 391/4000 [01:24<13:09,  4.57it/s]

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overall:  10%|▉         | 392/4000 [01:24<13:23,  4.49it/s]

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overall:  10%|▉         | 393/4000 [01:24<12:54,  4.66it/s]

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overall:  10%|▉         | 397/4000 [01:25<12:47,  4.69it/s]

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overall:  10%|▉         | 398/4000 [01:25<12:51,  4.67it/s]

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overall:  10%|█         | 402/4000 [01:26<11:29,  5.22it/s]

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overall:  10%|█         | 407/4000 [01:27<12:15,  4.88it/s]

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overall:  10%|█         | 408/4000 [01:27<12:07,  4.94it/s]

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overall:  10%|█         | 409/4000 [01:27<12:32,  4.77it/s]

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overall:  10%|█         | 410/4000 [01:28<16:22,  3.65it/s]

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overall:  10%|█         | 411/4000 [01:28<14:35,  4.10it/s]

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overall:  10%|█         | 412/4000 [01:28<15:56,  3.75it/s]

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overall:  10%|█         | 413/4000 [01:28<14:29,  4.12it/s]

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overall:  10%|█         | 414/4000 [01:29<13:47,  4.33it/s]

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overall:  10%|█         | 415/4000 [01:29<12:52,  4.64it/s]

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overall:  10%|█         | 417/4000 [01:29<10:57,  5.45it/s]

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overall:  10%|█         | 418/4000 [01:29<11:12,  5.33it/s]

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overall:  10%|█         | 419/4000 [01:30<11:26,  5.21it/s]

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overall:  10%|█         | 420/4000 [01:30<11:47,  5.06it/s]

train:  12%|█▏        | 420/3515 [01:27<10:11,  5.06it/s]
overall:  11%|█         | 421/4000 [01:30<11:53,  5.01it/s]

train:  12%|█▏        | 421/3515 [01:28<10:17,  5.01it/s]
overall:  11%|█         | 422/4000 [01:30<12:08,  4.91it/s]

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overall:  11%|█         | 423/4000 [01:30<12:11,  4.89it/s]

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overall:  11%|█         | 424/4000 [01:31<11:07,  5.36it/s]

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overall:  11%|█         | 425/4000 [01:31<12:28,  4.78it/s]

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overall:  11%|█         | 426/4000 [01:31<12:14,  4.86it/s]

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overall:  11%|█         | 428/4000 [01:31<10:33,  5.64it/s]

train:  12%|█▏        | 428/3515 [01:29<09:07,  5.64it/s]
overall:  11%|█         | 429/4000 [01:31<10:52,  5.47it/s]

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overall:  11%|█         | 430/4000 [01:32<11:20,  5.25it/s]

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overall:  11%|█         | 431/4000 [01:32<11:44,  5.06it/s]

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overall:  11%|█         | 432/4000 [01:32<12:27,  4.77it/s]

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overall:  11%|█         | 433/4000 [01:32<13:02,  4.56it/s]

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overall:  11%|█         | 434/4000 [01:33<17:01,  3.49it/s]

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overall:  11%|█         | 435/4000 [01:33<15:26,  3.85it/s]

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overall:  11%|█         | 436/4000 [01:33<15:59,  3.71it/s]

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overall:  11%|█         | 437/4000 [01:34<14:53,  3.99it/s]

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overall:  11%|█         | 438/4000 [01:34<13:59,  4.24it/s]

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overall:  11%|█         | 439/4000 [01:34<13:28,  4.40it/s]

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overall:  11%|█         | 440/4000 [01:34<12:33,  4.72it/s]

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overall:  11%|█         | 442/4000 [01:35<12:16,  4.83it/s]

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overall:  11%|█         | 443/4000 [01:35<12:00,  4.94it/s]

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overall:  11%|█         | 444/4000 [01:35<12:22,  4.79it/s]

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overall:  11%|█         | 445/4000 [01:35<12:35,  4.71it/s]

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overall:  11%|█         | 446/4000 [01:35<12:36,  4.70it/s]

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overall:  11%|█         | 447/4000 [01:36<12:34,  4.71it/s]

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overall:  11%|█         | 448/4000 [01:36<12:42,  4.66it/s]

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overall:  11%|█         | 449/4000 [01:36<12:45,  4.64it/s]

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overall:  11%|█▏        | 450/4000 [01:36<12:15,  4.83it/s]

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overall:  11%|█▏        | 451/4000 [01:36<12:12,  4.85it/s]

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overall:  11%|█▏        | 452/4000 [01:37<12:08,  4.87it/s]

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overall:  11%|█▏        | 453/4000 [01:37<12:38,  4.68it/s]

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overall:  11%|█▏        | 454/4000 [01:37<12:34,  4.70it/s]

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overall:  11%|█▏        | 455/4000 [01:37<12:30,  4.73it/s]

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overall:  11%|█▏        | 456/4000 [01:37<12:41,  4.66it/s]

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overall:  11%|█▏        | 457/4000 [01:38<13:07,  4.50it/s]

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overall:  11%|█▏        | 458/4000 [01:38<17:15,  3.42it/s]

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overall:  11%|█▏        | 459/4000 [01:38<15:25,  3.83it/s]

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overall:  12%|█▏        | 460/4000 [01:39<16:28,  3.58it/s]

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overall:  12%|█▏        | 461/4000 [01:39<15:16,  3.86it/s]

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overall:  12%|█▏        | 462/4000 [01:39<14:04,  4.19it/s]

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overall:  12%|█▏        | 463/4000 [01:39<13:15,  4.45it/s]

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overall:  12%|█▏        | 465/4000 [01:40<11:03,  5.33it/s]

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overall:  12%|█▏        | 468/4000 [01:40<10:33,  5.57it/s]

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overall:  12%|█▏        | 470/4000 [01:40<11:22,  5.17it/s]

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overall:  12%|█▏        | 471/4000 [01:41<11:17,  5.21it/s]

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overall:  12%|█▏        | 472/4000 [01:41<11:37,  5.06it/s]

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overall:  12%|█▏        | 474/4000 [01:41<12:20,  4.76it/s]

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overall:  12%|█▏        | 477/4000 [01:42<12:40,  4.64it/s]

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overall:  12%|█▏        | 478/4000 [01:42<12:30,  4.69it/s]

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overall:  12%|█▏        | 481/4000 [01:43<13:00,  4.51it/s]

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overall:  12%|█▏        | 482/4000 [01:43<16:42,  3.51it/s]

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overall:  25%|██▍       | 997/4000 [03:32<10:10,  4.92it/s]

train:  28%|██▊       | 997/3515 [03:30<08:31,  4.92it/s]
overall:  25%|██▍       | 998/4000 [03:32<10:18,  4.85it/s]

train:  28%|██▊       | 998/3515 [03:30<08:38,  4.85it/s]
overall:  25%|██▍       | 999/4000 [03:32<10:06,  4.94it/s]

train:  28%|██▊       | 999/3515 [03:30<08:28,  4.94it/s]train loss: 3.5946590900421143
train per: 0.8472583107872813
train loss: 2.0339601039886475
train per: 0.519014858955014
train loss: 1.756695032119751
train per: 0.45318381226799576
train loss: 1.6684757471084595
train per: 0.4312562071863302
train loss: 1.6477110385894775
train per: 0.43123461949203695
train loss: 1.549979329109192
train per: 0.4139822532938962
train loss: 1.5244171619415283
train per: 0.4031368914040394
train loss: 1.5853034257888794
train per: 0.4128308706282556
train loss: 1.4894028902053833
train per: 0.3932412048075519
train loss: 1.4391005039215088
train per: 0.37667854206631957
train loss: 1.4643592834472656
train per: 0.3952765856612517
train loss: 1.4593911170959473
train per: 0.3842780695669408
train loss: 1.5110844373703003
train per: 0.3926771838945138
train loss: 1.4822205305099487
train per: 0.38576963561846317
train loss: 1.3955305814743042
train per: 0.37029973393609755
train loss: 1.4369258880615234
train per: 0.37845509539320615
train loss: 1.4067585468292236
train per: 0.3744645042839657
train loss: 1.3721507787704468
train per: 0.37106742358567074
train loss: 1.4473613500595093
train per: 0.3838589725933067
train loss: 1.3601319789886475
train per: 0.36707617944715776
train loss: 1.372221827507019
train per: 0.36358479863868404
train loss: 1.4246033430099487
train per: 0.3749466335166629
train loss: 1.4588061571121216
train per: 0.37671834511836266
train loss: 1.4542535543441772
train per: 0.38698210640086467
train loss: 1.4077924489974976
train per: 0.3698336974452717
train loss: 1.3428374528884888
train per: 0.358786313750807
train loss: 1.4118802547454834
train per: 0.367976143533123
train loss: 1.3854949474334717
train per: 0.36418107670927025
train loss: 1.3726837635040283
train per: 0.36236013803199835
train loss: 1.389494776725769
train per: 0.3699503055377226
train loss: 1.4129420518875122
train per: 0.3690707783942167
train loss: 1.3513524532318115
train per: 0.35445549404791066
train loss: 1.4086263179779053
train per: 0.37118318454062604
train loss: 1.3563940525054932
train per: 0.3569461046723143
train loss: 1.3542019128799438
train per: 0.35874720601864474
train loss: 1.3590824604034424
train per: 0.36995790950543667
train loss: 1.4482300281524658
train per: 0.3715170278637771
train loss: 1.4294676780700684
train per: 0.37194504699927694
train loss: 1.403066873550415
train per: 0.37202044527448763
train loss: 1.4118010997772217
train per: 0.36990493097568383
train loss: 1.3429924249649048
train per: 0.3657929573735769
train loss: 1.3425493240356445
train per: 0.36266317111802937
train loss: 1.3698009252548218
train per: 0.3597177677998717
train loss: 1.4127628803253174
train per: 0.3736641317803997
train loss: 1.3516288995742798
train per: 0.35703292544468274
train loss: 1.399030327796936
train per: 0.37121627800640145
train loss: 1.3811826705932617
train per: 0.37396587383660806
train loss: 1.3726165294647217
train per: 0.3670797224696957
train loss: 1.363613247871399
train per: 0.361151883693297
train loss: 1.3326584100723267
train per: 0.35437408898880846
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 306/2703 [00:00<00:00, 3052.04it/s]


word -> phonemes:  24%|██▍       | 650/2703 [00:00<00:00, 3278.26it/s]


word -> phonemes:  39%|███▊      | 1044/2703 [00:00<00:00, 3546.17it/s]


word -> phonemes:  52%|█████▏    | 1399/2703 [00:00<00:00, 3384.41it/s]


word -> phonemes:  67%|██████▋   | 1810/2703 [00:00<00:00, 3630.57it/s]


word -> phonemes:  81%|████████  | 2180/2703 [00:00<00:00, 3636.55it/s]


word -> phonemes:  94%|█████████▍| 2545/2703 [00:00<00:00, 3519.07it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3530.24it/s]



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overall:  47%|████▋     | 1872/4000 [08:28<07:00,  5.07it/s]

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overall:  47%|████▋     | 1878/4000 [08:29<07:35,  4.66it/s]

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overall:  47%|████▋     | 1879/4000 [08:29<07:37,  4.64it/s]

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overall:  47%|████▋     | 1894/4000 [08:33<07:47,  4.50it/s]

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overall:  47%|████▋     | 1899/4000 [08:34<07:08,  4.90it/s]

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overall:  48%|████▊     | 1900/4000 [08:34<07:28,  4.68it/s]

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overall:  48%|████▊     | 1901/4000 [08:34<07:20,  4.76it/s]

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overall:  48%|████▊     | 1902/4000 [08:35<06:30,  5.37it/s]

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overall:  48%|████▊     | 1903/4000 [08:35<07:04,  4.94it/s]

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overall:  48%|████▊     | 1904/4000 [08:35<07:08,  4.90it/s]

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overall:  48%|████▊     | 1927/4000 [08:40<07:03,  4.90it/s]

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overall:  48%|████▊     | 1929/4000 [08:40<06:11,  5.57it/s]

train:  55%|█████▍    | 1929/3515 [08:38<04:44,  5.57it/s]
overall:  48%|████▊     | 1930/4000 [08:40<06:34,  5.24it/s]

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overall:  48%|████▊     | 1931/4000 [08:41<06:48,  5.06it/s]

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overall:  48%|████▊     | 1932/4000 [08:41<07:01,  4.91it/s]

train:  55%|█████▍    | 1932/3515 [08:39<05:22,  4.91it/s]
overall:  48%|████▊     | 1933/4000 [08:41<11:10,  3.08it/s]

train:  55%|█████▍    | 1933/3515 [08:39<08:32,  3.08it/s]
overall:  48%|████▊     | 1934/4000 [08:42<10:17,  3.35it/s]

train:  55%|█████▌    | 1934/3515 [08:39<07:52,  3.35it/s]
overall:  48%|████▊     | 1935/4000 [08:42<09:31,  3.62it/s]

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overall:  48%|████▊     | 1936/4000 [08:42<07:50,  4.38it/s]

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overall:  48%|████▊     | 1937/4000 [08:42<07:34,  4.54it/s]

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overall:  48%|████▊     | 1938/4000 [08:42<07:19,  4.69it/s]

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overall:  48%|████▊     | 1939/4000 [08:43<07:32,  4.55it/s]

train:  55%|█████▌    | 1939/3515 [08:40<05:46,  4.55it/s]
overall:  48%|████▊     | 1940/4000 [08:43<07:28,  4.60it/s]

train:  55%|█████▌    | 1940/3515 [08:41<05:42,  4.59it/s]
overall:  49%|████▊     | 1941/4000 [08:43<07:08,  4.81it/s]

train:  55%|█████▌    | 1941/3515 [08:41<05:27,  4.81it/s]
overall:  49%|████▊     | 1942/4000 [08:43<07:12,  4.76it/s]

train:  55%|█████▌    | 1942/3515 [08:41<05:30,  4.76it/s]
overall:  49%|████▊     | 1943/4000 [08:43<07:13,  4.74it/s]

train:  55%|█████▌    | 1943/3515 [08:41<05:31,  4.74it/s]
overall:  49%|████▊     | 1945/4000 [08:44<06:22,  5.37it/s]

train:  55%|█████▌    | 1945/3515 [08:42<04:52,  5.37it/s]
overall:  49%|████▊     | 1946/4000 [08:44<06:37,  5.17it/s]

train:  55%|█████▌    | 1946/3515 [08:42<05:03,  5.17it/s]
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train:  55%|█████▌    | 1948/3515 [08:42<04:35,  5.70it/s]
overall:  49%|████▊     | 1949/4000 [08:45<06:17,  5.43it/s]

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overall:  49%|████▉     | 1950/4000 [08:45<06:35,  5.18it/s]

train:  55%|█████▌    | 1950/3515 [08:42<05:02,  5.18it/s]
overall:  49%|████▉     | 1951/4000 [08:45<06:45,  5.05it/s]

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overall:  49%|████▉     | 1952/4000 [08:45<06:52,  4.96it/s]

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overall:  49%|████▉     | 1953/4000 [08:45<07:04,  4.82it/s]

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overall:  49%|████▉     | 1954/4000 [08:46<07:15,  4.69it/s]

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overall:  49%|████▉     | 1955/4000 [08:46<07:08,  4.78it/s]

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overall:  49%|████▉     | 1956/4000 [08:46<07:01,  4.84it/s]

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overall:  49%|████▉     | 1957/4000 [08:47<11:42,  2.91it/s]

train:  56%|█████▌    | 1957/3515 [08:44<08:55,  2.91it/s]
overall:  49%|████▉     | 1958/4000 [08:47<10:25,  3.26it/s]

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overall:  49%|████▉     | 1959/4000 [08:47<09:28,  3.59it/s]

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overall:  49%|████▉     | 1960/4000 [08:47<08:51,  3.84it/s]

train:  56%|█████▌    | 1960/3515 [08:45<06:44,  3.84it/s]
overall:  49%|████▉     | 1961/4000 [08:48<08:23,  4.05it/s]

train:  56%|█████▌    | 1961/3515 [08:45<06:24,  4.05it/s]
overall:  49%|████▉     | 1962/4000 [08:48<08:15,  4.11it/s]

train:  56%|█████▌    | 1962/3515 [08:46<06:17,  4.11it/s]
overall:  49%|████▉     | 1963/4000 [08:48<08:05,  4.19it/s]

train:  56%|█████▌    | 1963/3515 [08:46<06:10,  4.19it/s]
overall:  49%|████▉     | 1964/4000 [08:48<07:40,  4.42it/s]

train:  56%|█████▌    | 1964/3515 [08:46<05:50,  4.42it/s]
overall:  49%|████▉     | 1965/4000 [08:48<07:36,  4.46it/s]

train:  56%|█████▌    | 1965/3515 [08:46<05:47,  4.46it/s]
overall:  49%|████▉     | 1966/4000 [08:49<07:21,  4.60it/s]

train:  56%|█████▌    | 1966/3515 [08:46<05:36,  4.60it/s]
overall:  49%|████▉     | 1967/4000 [08:49<07:01,  4.82it/s]

train:  56%|█████▌    | 1967/3515 [08:47<05:20,  4.82it/s]
overall:  49%|████▉     | 1968/4000 [08:49<06:43,  5.04it/s]

train:  56%|█████▌    | 1968/3515 [08:47<05:07,  5.04it/s]
overall:  49%|████▉     | 1969/4000 [08:49<06:58,  4.86it/s]

train:  56%|█████▌    | 1969/3515 [08:47<05:18,  4.86it/s]
overall:  49%|████▉     | 1970/4000 [08:49<07:08,  4.74it/s]

train:  56%|█████▌    | 1970/3515 [08:47<05:26,  4.74it/s]
overall:  49%|████▉     | 1971/4000 [08:50<07:10,  4.71it/s]

train:  56%|█████▌    | 1971/3515 [08:47<05:27,  4.71it/s]
overall:  49%|████▉     | 1972/4000 [08:50<07:07,  4.74it/s]

train:  56%|█████▌    | 1972/3515 [08:48<05:25,  4.74it/s]
overall:  49%|████▉     | 1973/4000 [08:50<09:32,  3.54it/s]

train:  56%|█████▌    | 1973/3515 [08:48<07:15,  3.54it/s]
overall:  49%|████▉     | 1974/4000 [08:51<08:54,  3.79it/s]

train:  56%|█████▌    | 1974/3515 [08:48<06:46,  3.79it/s]
overall:  49%|████▉     | 1975/4000 [08:51<08:30,  3.96it/s]

train:  56%|█████▌    | 1975/3515 [08:48<06:28,  3.96it/s]
overall:  49%|████▉     | 1976/4000 [08:51<08:04,  4.18it/s]

train:  56%|█████▌    | 1976/3515 [08:49<06:08,  4.18it/s]
overall:  49%|████▉     | 1977/4000 [08:51<07:53,  4.27it/s]

train:  56%|█████▌    | 1977/3515 [08:49<06:00,  4.27it/s]
overall:  49%|████▉     | 1978/4000 [08:51<07:40,  4.39it/s]

train:  56%|█████▋    | 1978/3515 [08:49<05:50,  4.39it/s]
overall:  49%|████▉     | 1979/4000 [08:52<07:02,  4.78it/s]

train:  56%|█████▋    | 1979/3515 [08:49<05:21,  4.78it/s]
overall:  50%|████▉     | 1980/4000 [08:52<07:12,  4.67it/s]

train:  56%|█████▋    | 1980/3515 [08:50<05:28,  4.67it/s]
overall:  50%|████▉     | 1981/4000 [08:52<07:51,  4.28it/s]

train:  56%|█████▋    | 1981/3515 [08:50<05:58,  4.28it/s]
overall:  50%|████▉     | 1982/4000 [08:52<07:28,  4.50it/s]

train:  56%|█████▋    | 1982/3515 [08:50<05:40,  4.50it/s]
overall:  50%|████▉     | 1984/4000 [08:53<06:24,  5.25it/s]

train:  56%|█████▋    | 1984/3515 [08:50<04:51,  5.25it/s]
overall:  50%|████▉     | 1985/4000 [08:53<06:35,  5.09it/s]

train:  56%|█████▋    | 1985/3515 [08:51<05:00,  5.09it/s]
overall:  50%|████▉     | 1986/4000 [08:53<05:55,  5.66it/s]

train:  57%|█████▋    | 1986/3515 [08:51<04:30,  5.66it/s]
overall:  50%|████▉     | 1987/4000 [08:53<06:12,  5.41it/s]

train:  57%|█████▋    | 1987/3515 [08:51<04:42,  5.41it/s]
overall:  50%|████▉     | 1988/4000 [08:53<06:32,  5.13it/s]

train:  57%|█████▋    | 1988/3515 [08:51<04:57,  5.13it/s]
overall:  50%|████▉     | 1989/4000 [08:54<06:43,  4.99it/s]

train:  57%|█████▋    | 1989/3515 [08:51<05:05,  4.99it/s]
overall:  50%|████▉     | 1990/4000 [08:54<06:56,  4.83it/s]

train:  57%|█████▋    | 1990/3515 [08:51<05:15,  4.83it/s]
overall:  50%|████▉     | 1991/4000 [08:54<07:01,  4.76it/s]

train:  57%|█████▋    | 1991/3515 [08:52<05:20,  4.76it/s]
overall:  50%|████▉     | 1992/4000 [08:54<06:09,  5.44it/s]

train:  57%|█████▋    | 1992/3515 [08:52<04:40,  5.44it/s]
overall:  50%|████▉     | 1993/4000 [08:54<06:33,  5.10it/s]

train:  57%|█████▋    | 1993/3515 [08:52<04:58,  5.10it/s]
overall:  50%|████▉     | 1994/4000 [08:55<06:39,  5.02it/s]

train:  57%|█████▋    | 1994/3515 [08:52<05:02,  5.02it/s]
overall:  50%|████▉     | 1995/4000 [08:55<06:48,  4.90it/s]

train:  57%|█████▋    | 1995/3515 [08:52<05:09,  4.90it/s]
overall:  50%|████▉     | 1996/4000 [08:55<06:49,  4.90it/s]

train:  57%|█████▋    | 1996/3515 [08:53<05:10,  4.90it/s]
overall:  50%|████▉     | 1997/4000 [08:55<09:39,  3.46it/s]

train:  57%|█████▋    | 1997/3515 [08:53<07:19,  3.46it/s]
overall:  50%|████▉     | 1998/4000 [08:56<09:02,  3.69it/s]

train:  57%|█████▋    | 1998/3515 [08:53<06:50,  3.69it/s]
overall:  50%|████▉     | 1999/4000 [08:56<08:21,  3.99it/s]

train:  57%|█████▋    | 1999/3515 [08:54<06:20,  3.99it/s]dev loss: 1.6665891408920288
dev per: 0.41155046826222685
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.3826407194137573
train per: 0.36933841917801297
train loss: 1.3221547603607178
train per: 0.3637963544940289
train loss: 1.425022840499878
train per: 0.3719223053073135
train loss: 1.3409477472305298
train per: 0.3625898879536206
train loss: 1.4230730533599854
train per: 0.37044982698961937
train loss: 1.385551929473877
train per: 0.3713696833427019
train loss: 1.350022792816162
train per: 0.363928478880539
train loss: 1.3576271533966064
train per: 0.35552820615863767
train loss: 1.3787167072296143
train per: 0.3649969019589152
train loss: 1.365417718887329
train per: 0.3657086223984143
train loss: 1.3883631229400635
train per: 0.3623175035173098
train loss: 1.3345756530761719
train per: 0.35689097145065457
train loss: 1.3846838474273682
train per: 0.36238926853961023
train loss: 1.2949638366699219
train per: 0.3492010652463382
train loss: 1.3622586727142334
train per: 0.36302488709522435
train loss: 1.4118068218231201
train per: 0.37042809136511956
train loss: 1.4063810110092163
train per: 0.3729723580935047
train loss: 1.3419952392578125
train per: 0.36239979889953355
train loss: 1.3457825183868408
train per: 0.35702616497679124
train loss: 1.3692753314971924
train per: 0.3621123025481379
train loss: 1.3501392602920532
train per: 0.36296950516425014
train loss: 1.3298306465148926
train per: 0.35498839907192575
train loss: 1.319559097290039
train per: 0.3613561117732751
train loss: 1.386441946029663
train per: 0.3675897776933308
train loss: 1.4244247674942017
train per: 0.3811617793542431
train loss: 1.3905351161956787
train per: 0.36345049391224443
train loss: 1.3181599378585815
train per: 0.3536611726560389
train loss: 1.4160436391830444
train per: 0.37222287945108246
train loss: 1.3706417083740234
train per: 0.35809310046526854
train loss: 1.3769323825836182
train per: 0.36466156156895574
train loss: 1.3567135334014893
train per: 0.36093369244581247
train loss: 1.3924176692962646
train per: 0.3747963327740084
train loss: 1.3810865879058838
train per: 0.3665359778597786
train loss: 1.370632529258728
train per: 0.3672306276835003
train loss: 1.3077237606048584
train per: 0.3495691631869856
train loss: 1.3075569868087769
train per: 0.3659014811016259
train loss: 1.357019066810608
train per: 0.36953174771713737
train loss: 1.3486464023590088
train per: 0.36243392808397645
train loss: 1.3092962503433228
train per: 0.3584263544786278
train loss: 1.4238229990005493
train per: 0.3674200406729525
train loss: 1.3873794078826904
train per: 0.36076518455244344
train loss: 1.3749771118164062
train per: 0.366327212878671
train loss: 1.3610341548919678
train per: 0.3584445329615614
train loss: 1.3048219680786133
train per: 0.34915356711003626
train loss: 1.3764359951019287
train per: 0.36460292035192793
train loss: 1.3449978828430176
train per: 0.35853704249109747
train loss: 1.338789701461792
train per: 0.3546310054482417
train loss: 1.4064356088638306
train per: 0.36812218977425487
train loss: 1.332558035850525
train per: 0.35262856870501885
train loss: 1.3626219034194946
train per: 0.35781193271209005
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 535/2703 [00:00<00:00, 5349.69it/s]


word -> phonemes:  40%|████      | 1082/2703 [00:00<00:00, 5415.55it/s]


word -> phonemes:  60%|██████    | 1624/2703 [00:00<00:00, 5163.73it/s]


word -> phonemes:  79%|███████▉  | 2142/2703 [00:00<00:00, 4984.94it/s]


word -> phonemes:  99%|█████████▊| 2666/2703 [00:00<00:00, 5069.80it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5107.56it/s]



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train:  85%|████████▍ | 2983/3515 [14:21<01:35,  5.58it/s]
overall:  75%|███████▍  | 2984/4000 [14:23<03:08,  5.38it/s]

train:  85%|████████▍ | 2984/3515 [14:21<01:38,  5.38it/s]
overall:  75%|███████▍  | 2985/4000 [14:23<03:21,  5.03it/s]

train:  85%|████████▍ | 2985/3515 [14:21<01:45,  5.03it/s]
overall:  75%|███████▍  | 2986/4000 [14:24<03:22,  5.01it/s]

train:  85%|████████▍ | 2986/3515 [14:21<01:45,  5.01it/s]
overall:  75%|███████▍  | 2987/4000 [14:24<03:23,  4.99it/s]

train:  85%|████████▍ | 2987/3515 [14:22<01:45,  4.99it/s]
overall:  75%|███████▍  | 2988/4000 [14:24<03:29,  4.84it/s]

train:  85%|████████▌ | 2988/3515 [14:22<01:48,  4.84it/s]
overall:  75%|███████▍  | 2989/4000 [14:24<03:31,  4.77it/s]

train:  85%|████████▌ | 2989/3515 [14:22<01:50,  4.77it/s]
overall:  75%|███████▍  | 2990/4000 [14:25<03:31,  4.77it/s]

train:  85%|████████▌ | 2990/3515 [14:22<01:50,  4.77it/s]
overall:  75%|███████▍  | 2991/4000 [14:25<03:21,  5.02it/s]

train:  85%|████████▌ | 2991/3515 [14:22<01:44,  5.02it/s]
overall:  75%|███████▍  | 2992/4000 [14:25<03:26,  4.88it/s]

train:  85%|████████▌ | 2992/3515 [14:23<01:47,  4.88it/s]
overall:  75%|███████▍  | 2993/4000 [14:25<03:27,  4.84it/s]

train:  85%|████████▌ | 2993/3515 [14:23<01:47,  4.84it/s]
overall:  75%|███████▍  | 2994/4000 [14:25<04:18,  3.90it/s]

train:  85%|████████▌ | 2994/3515 [14:23<02:13,  3.90it/s]
overall:  75%|███████▍  | 2995/4000 [14:26<04:06,  4.08it/s]

train:  85%|████████▌ | 2995/3515 [14:23<02:07,  4.08it/s]
overall:  75%|███████▍  | 2996/4000 [14:26<03:59,  4.19it/s]

train:  85%|████████▌ | 2996/3515 [14:24<02:03,  4.19it/s]
overall:  75%|███████▍  | 2997/4000 [14:26<03:54,  4.28it/s]

train:  85%|████████▌ | 2997/3515 [14:24<02:00,  4.28it/s]
overall:  75%|███████▍  | 2998/4000 [14:26<03:42,  4.51it/s]

train:  85%|████████▌ | 2998/3515 [14:24<01:54,  4.51it/s]
overall:  75%|███████▍  | 2999/4000 [14:27<03:42,  4.50it/s]

train:  85%|████████▌ | 2999/3515 [14:24<01:54,  4.50it/s]dev loss: 1.673418402671814
dev per: 0.4100104058272633
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.3043756484985352
train per: 0.35346382703750573
train loss: 1.288393497467041
train per: 0.3565095274810001
train loss: 1.337589979171753
train per: 0.35912032306719216
train loss: 1.3817793130874634
train per: 0.3629199697999245
train loss: 1.3354756832122803
train per: 0.3561913789662742
train loss: 1.3288789987564087
train per: 0.35343383584589616
train loss: 1.3565574884414673
train per: 0.3563873449189709
train loss: 1.3848247528076172
train per: 0.37082437275985664
train loss: 1.2739019393920898
train per: 0.344131821058268
train loss: 1.3226697444915771
train per: 0.34904649667880866
train loss: 1.3616708517074585
train per: 0.3603767784999122
train loss: 1.3352019786834717
train per: 0.3605190699571691
train loss: 1.4110697507858276
train per: 0.3790098374679213
train loss: 1.3799948692321777
train per: 0.36290185612034453
train loss: 1.2804890871047974
train per: 0.34678014184397166
train loss: 1.375616431236267
train per: 0.36662293226312676
train loss: 1.3567043542861938
train per: 0.360211957147794
train loss: 1.3327826261520386
train per: 0.3569017542065156
train loss: 1.3172041177749634
train per: 0.3499345938875015
train loss: 1.3267967700958252
train per: 0.35295634460173797
train loss: 1.3174189329147339
train per: 0.35694866464097236
train loss: 1.3979707956314087
train per: 0.3687697458386382
train loss: 1.408555269241333
train per: 0.36978153693066174
train loss: 1.3353185653686523
train per: 0.35774234158623586
train loss: 1.3202815055847168
train per: 0.3584369639794168
train loss: 1.3142461776733398
train per: 0.34967117804041176
train loss: 1.3127400875091553
train per: 0.3514036786060019
train loss: 1.3237189054489136
train per: 0.35363806417573984
train loss: 1.3158878087997437
train per: 0.3515388809039996
train loss: 1.4044004678726196
train per: 0.3650342333325751
train loss: 1.2793185710906982
train per: 0.3485641139804096
train loss: 1.3018457889556885
train per: 0.35361854844956236
train loss: 1.3461440801620483
train per: 0.36182707993474716
train loss: 1.3244746923446655
train per: 0.3595077570866438
train loss: 1.3495173454284668
train per: 0.354421768707483
train loss: 1.2930071353912354
train per: 0.3546021066563724
train loss: 1.3768051862716675
train per: 0.3675748982862779
train loss: 1.3119028806686401
train per: 0.35544024263103025
train loss: 1.3089914321899414
train per: 0.3489075095460331
train loss: 1.2970287799835205
train per: 0.3498236750619013
train loss: 1.2991126775741577
train per: 0.3503952667429026
train loss: 1.3378652334213257
train per: 0.3674117214964059
train loss: 1.2821404933929443
train per: 0.3477181082596737
train loss: 1.3866674900054932
train per: 0.3631121948996103
train loss: 1.2992318868637085
train per: 0.349060510378384
train loss: 1.3515136241912842
train per: 0.360129983752031
train loss: 1.3105992078781128
train per: 0.35176806248018677
train loss: 1.390863060951233
train per: 0.36854019059691695
train loss: 1.3224748373031616
train per: 0.35641614702986546
train loss: 1.3866218328475952
train per: 0.3721767432685669
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▎        | 371/2703 [00:00<00:00, 3708.80it/s]


word -> phonemes:  34%|███▍      | 915/2703 [00:00<00:00, 4726.73it/s]


word -> phonemes:  53%|█████▎    | 1444/2703 [00:00<00:00, 4981.36it/s]


word -> phonemes:  72%|███████▏  | 1943/2703 [00:00<00:00, 4935.18it/s]


word -> phonemes:  92%|█████████▏| 2483/2703 [00:00<00:00, 5101.06it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4915.18it/s]



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


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train: 100%|██████████| 3515/3515 [18:11<00:00,  5.02it/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 [18:11<00:00,  3.22it/s]
dev loss: 1.6538866758346558
dev per: 0.4067741935483871
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.2615598440170288
train per: 0.34264613844035546
train loss: 1.3061109781265259
train per: 0.3517002347033459
train loss: 1.2968095541000366
train per: 0.34732768691588783
train loss: 1.3102442026138306
train per: 0.3475225565804728
train loss: 1.3223016262054443
train per: 0.35136222690368546
train loss: 1.3252910375595093
train per: 0.3542195592566264
train loss: 1.2842159271240234
train per: 0.34679897244748903
train loss: 1.3628021478652954
train per: 0.3615907398957758
train loss: 1.3708841800689697
train per: 0.3638423424544979
train loss: 1.3052446842193604
train per: 0.3521943797251676
train loss: 1.3317997455596924
train per: 0.35756876322369685
train loss: 1.3772854804992676
train per: 0.3642552590044993
train loss: 1.2839810848236084
train per: 0.3544848408604856
train loss: 1.3074756860733032
train per: 0.35328180820510424
train loss: 1.342254877090454
train per: 0.35904229221862427
train loss: 1.3587968349456787
train per: 0.35570194433680563
train loss: 1.3686882257461548
train per: 0.3570611385685521
train loss: 1.3191455602645874
train per: 0.354382657869934
train loss: 1.3444641828536987
train per: 0.36466680725432304
train loss: 1.310870885848999
train per: 0.3549692984839428
train loss: 1.3410447835922241
train per: 0.3654597479777692
train loss: 1.345166563987732
train per: 0.3577115589097228
train loss: 1.413743257522583
train per: 0.37470451994938037
train loss: 1.3428101539611816
train per: 0.3645833333333333
train loss: 1.3730312585830688
train per: 0.3597864852736248
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 409/3515 [00:00<00:00, 4083.64it/s]

word -> phonemes:  24%|██▍       | 836/3515 [00:00<00:00, 4191.30it/s]

word -> phonemes:  36%|███▌      | 1256/3515 [00:00<00:00, 3502.63it/s]

word -> phonemes:  49%|████▉     | 1719/3515 [00:00<00:00, 3897.41it/s]

word -> phonemes:  62%|██████▏   | 2187/3515 [00:00<00:00, 4157.90it/s]

word -> phonemes:  74%|███████▍  | 2613/3515 [00:00<00:00, 4026.11it/s]

word -> phonemes:  86%|████████▌ | 3023/3515 [00:00<00:00, 2680.89it/s]

word -> phonemes:  96%|█████████▌| 3358/3515 [00:01<00:00, 2831.15it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3318.55it/s]


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overall:  89%|████████▉ | 3552/4000 [18:25<01:52,  3.99it/s]

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overall:  89%|████████▉ | 3556/4000 [18:25<01:27,  5.05it/s]

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overall:  89%|████████▉ | 3557/4000 [18:26<01:28,  4.99it/s]

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overall:  89%|████████▉ | 3558/4000 [18:26<01:30,  4.88it/s]

train:   1%|          | 43/3515 [00:10<11:51,  4.88it/s]
overall:  89%|████████▉ | 3559/4000 [18:26<01:20,  5.48it/s]

train:   1%|▏         | 44/3515 [00:10<10:33,  5.48it/s]
overall:  89%|████████▉ | 3560/4000 [18:26<01:25,  5.17it/s]

train:   1%|▏         | 45/3515 [00:10<11:11,  5.17it/s]
overall:  89%|████████▉ | 3561/4000 [18:26<01:28,  4.94it/s]

train:   1%|▏         | 46/3515 [00:10<11:41,  4.94it/s]
overall:  89%|████████▉ | 3562/4000 [18:27<01:31,  4.80it/s]

train:   1%|▏         | 47/3515 [00:10<12:02,  4.80it/s]
overall:  89%|████████▉ | 3563/4000 [18:27<01:22,  5.32it/s]

train:   1%|▏         | 48/3515 [00:11<10:51,  5.32it/s]
overall:  89%|████████▉ | 3564/4000 [18:27<01:52,  3.87it/s]

train:   1%|▏         | 49/3515 [00:11<14:56,  3.86it/s]
overall:  89%|████████▉ | 3565/4000 [18:27<01:34,  4.62it/s]

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overall:  89%|████████▉ | 3566/4000 [18:27<01:33,  4.65it/s]

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overall:  89%|████████▉ | 3567/4000 [18:28<01:30,  4.77it/s]

train:   1%|▏         | 52/3515 [00:12<12:05,  4.77it/s]
overall:  89%|████████▉ | 3569/4000 [18:28<01:18,  5.51it/s]

train:   2%|▏         | 54/3515 [00:12<10:28,  5.51it/s]
overall:  89%|████████▉ | 3570/4000 [18:28<01:20,  5.36it/s]

train:   2%|▏         | 55/3515 [00:12<10:45,  5.36it/s]
overall:  89%|████████▉ | 3571/4000 [18:28<01:23,  5.15it/s]

train:   2%|▏         | 56/3515 [00:12<11:11,  5.15it/s]
overall:  89%|████████▉ | 3572/4000 [18:29<01:26,  4.95it/s]

train:   2%|▏         | 57/3515 [00:13<11:38,  4.95it/s]
overall:  89%|████████▉ | 3573/4000 [18:29<01:26,  4.91it/s]

train:   2%|▏         | 58/3515 [00:13<11:44,  4.91it/s]
overall:  89%|████████▉ | 3574/4000 [18:29<01:28,  4.81it/s]

train:   2%|▏         | 59/3515 [00:13<11:58,  4.81it/s]
overall:  89%|████████▉ | 3575/4000 [18:29<01:28,  4.81it/s]

train:   2%|▏         | 60/3515 [00:13<11:57,  4.81it/s]
overall:  89%|████████▉ | 3576/4000 [18:30<01:52,  3.76it/s]

train:   2%|▏         | 61/3515 [00:14<15:17,  3.76it/s]
overall:  89%|████████▉ | 3577/4000 [18:30<01:45,  3.99it/s]

train:   2%|▏         | 62/3515 [00:14<14:24,  3.99it/s]
overall:  89%|████████▉ | 3578/4000 [18:30<01:42,  4.10it/s]

train:   2%|▏         | 63/3515 [00:14<14:02,  4.10it/s]
overall:  89%|████████▉ | 3579/4000 [18:30<01:39,  4.22it/s]

train:   2%|▏         | 64/3515 [00:14<13:37,  4.22it/s]
overall:  90%|████████▉ | 3580/4000 [18:31<01:40,  4.19it/s]

train:   2%|▏         | 65/3515 [00:14<13:42,  4.19it/s]
overall:  90%|████████▉ | 3581/4000 [18:31<01:37,  4.32it/s]

train:   2%|▏         | 66/3515 [00:15<13:18,  4.32it/s]
overall:  90%|████████▉ | 3582/4000 [18:31<01:35,  4.37it/s]

train:   2%|▏         | 67/3515 [00:15<13:08,  4.37it/s]
overall:  90%|████████▉ | 3583/4000 [18:31<01:33,  4.46it/s]

train:   2%|▏         | 68/3515 [00:15<12:52,  4.46it/s]
overall:  90%|████████▉ | 3584/4000 [18:31<01:19,  5.24it/s]

train:   2%|▏         | 69/3515 [00:15<10:57,  5.24it/s]
overall:  90%|████████▉ | 3586/4000 [18:32<01:08,  6.06it/s]

train:   2%|▏         | 71/3515 [00:15<09:28,  6.06it/s]
overall:  90%|████████▉ | 3587/4000 [18:32<01:13,  5.63it/s]

train:   2%|▏         | 72/3515 [00:16<10:12,  5.63it/s]
overall:  90%|████████▉ | 3588/4000 [18:32<01:33,  4.38it/s]

train:   2%|▏         | 73/3515 [00:16<13:05,  4.38it/s]
overall:  90%|████████▉ | 3589/4000 [18:32<01:32,  4.43it/s]

train:   2%|▏         | 74/3515 [00:16<12:57,  4.43it/s]
overall:  90%|████████▉ | 3590/4000 [18:33<01:33,  4.39it/s]

train:   2%|▏         | 75/3515 [00:17<13:04,  4.39it/s]
overall:  90%|████████▉ | 3591/4000 [18:33<01:28,  4.62it/s]

train:   2%|▏         | 76/3515 [00:17<12:24,  4.62it/s]
overall:  90%|████████▉ | 3592/4000 [18:33<01:23,  4.89it/s]

train:   2%|▏         | 77/3515 [00:17<11:43,  4.89it/s]
overall:  90%|████████▉ | 3593/4000 [18:33<01:25,  4.78it/s]

train:   2%|▏         | 78/3515 [00:17<11:59,  4.78it/s]
overall:  90%|████████▉ | 3594/4000 [18:33<01:24,  4.82it/s]

train:   2%|▏         | 79/3515 [00:17<11:52,  4.82it/s]
overall:  90%|████████▉ | 3595/4000 [18:34<01:19,  5.12it/s]

train:   2%|▏         | 80/3515 [00:17<11:10,  5.12it/s]
overall:  90%|████████▉ | 3596/4000 [18:34<01:18,  5.15it/s]

train:   2%|▏         | 81/3515 [00:18<11:07,  5.15it/s]
overall:  90%|████████▉ | 3597/4000 [18:34<01:22,  4.86it/s]

train:   2%|▏         | 82/3515 [00:18<11:45,  4.86it/s]
overall:  90%|████████▉ | 3598/4000 [18:34<01:21,  4.94it/s]

train:   2%|▏         | 83/3515 [00:18<11:34,  4.94it/s]
overall:  90%|████████▉ | 3599/4000 [18:34<01:17,  5.17it/s]

train:   2%|▏         | 84/3515 [00:18<11:04,  5.17it/s]
overall:  90%|█████████ | 3600/4000 [18:35<01:42,  3.90it/s]

train:   2%|▏         | 85/3515 [00:19<14:39,  3.90it/s]
overall:  90%|█████████ | 3601/4000 [18:35<01:37,  4.09it/s]

train:   2%|▏         | 86/3515 [00:19<13:59,  4.09it/s]
overall:  90%|█████████ | 3602/4000 [18:35<01:32,  4.31it/s]

train:   2%|▏         | 87/3515 [00:19<13:15,  4.31it/s]
overall:  90%|█████████ | 3603/4000 [18:35<01:30,  4.39it/s]

train:   3%|▎         | 88/3515 [00:19<13:00,  4.39it/s]
overall:  90%|█████████ | 3604/4000 [18:36<01:28,  4.47it/s]

train:   3%|▎         | 89/3515 [00:20<12:46,  4.47it/s]
overall:  90%|█████████ | 3606/4000 [18:36<01:09,  5.67it/s]

train:   3%|▎         | 91/3515 [00:20<10:03,  5.67it/s]
overall:  90%|█████████ | 3607/4000 [18:36<01:12,  5.42it/s]

train:   3%|▎         | 92/3515 [00:20<10:31,  5.42it/s]
overall:  90%|█████████ | 3608/4000 [18:36<01:10,  5.59it/s]

train:   3%|▎         | 93/3515 [00:20<10:12,  5.59it/s]
overall:  90%|█████████ | 3609/4000 [18:36<01:12,  5.41it/s]

train:   3%|▎         | 94/3515 [00:20<10:32,  5.41it/s]
overall:  90%|█████████ | 3610/4000 [18:37<01:15,  5.14it/s]

train:   3%|▎         | 95/3515 [00:21<11:04,  5.14it/s]
overall:  90%|█████████ | 3611/4000 [18:37<01:17,  5.02it/s]

train:   3%|▎         | 96/3515 [00:21<11:21,  5.02it/s]
overall:  90%|█████████ | 3612/4000 [18:37<01:38,  3.95it/s]

train:   3%|▎         | 97/3515 [00:21<14:25,  3.95it/s]
overall:  90%|█████████ | 3613/4000 [18:37<01:31,  4.21it/s]

train:   3%|▎         | 98/3515 [00:21<13:31,  4.21it/s]
overall:  90%|█████████ | 3614/4000 [18:38<01:28,  4.38it/s]

train:   3%|▎         | 99/3515 [00:22<12:59,  4.38it/s]
overall:  90%|█████████ | 3615/4000 [18:38<01:27,  4.42it/s]

train:   3%|▎         | 100/3515 [00:22<12:52,  4.42it/s]
overall:  90%|█████████ | 3616/4000 [18:38<01:26,  4.42it/s]

train:   3%|▎         | 101/3515 [00:22<12:53,  4.42it/s]
overall:  90%|█████████ | 3617/4000 [18:38<01:24,  4.53it/s]

train:   3%|▎         | 102/3515 [00:22<12:33,  4.53it/s]
overall:  90%|█████████ | 3618/4000 [18:39<01:24,  4.53it/s]

train:   3%|▎         | 103/3515 [00:22<12:32,  4.53it/s]
overall:  90%|█████████ | 3619/4000 [18:39<01:24,  4.50it/s]

train:   3%|▎         | 104/3515 [00:23<12:37,  4.50it/s]
overall:  90%|█████████ | 3620/4000 [18:39<01:24,  4.49it/s]

train:   3%|▎         | 105/3515 [00:23<12:39,  4.49it/s]
overall:  91%|█████████ | 3621/4000 [18:39<01:26,  4.40it/s]

train:   3%|▎         | 106/3515 [00:23<12:54,  4.40it/s]
overall:  91%|█████████ | 3622/4000 [18:39<01:24,  4.49it/s]

train:   3%|▎         | 107/3515 [00:23<12:39,  4.49it/s]
overall:  91%|█████████ | 3623/4000 [18:40<01:22,  4.58it/s]

train:   3%|▎         | 108/3515 [00:24<12:24,  4.58it/s]
overall:  91%|█████████ | 3624/4000 [18:40<01:40,  3.73it/s]

train:   3%|▎         | 109/3515 [00:24<15:12,  3.73it/s]
overall:  91%|█████████ | 3625/4000 [18:40<01:34,  3.96it/s]

train:   3%|▎         | 110/3515 [00:24<14:19,  3.96it/s]
overall:  91%|█████████ | 3626/4000 [18:40<01:27,  4.29it/s]

train:   3%|▎         | 111/3515 [00:24<13:14,  4.29it/s]
overall:  91%|█████████ | 3627/4000 [18:41<01:25,  4.38it/s]

train:   3%|▎         | 112/3515 [00:25<12:57,  4.38it/s]
overall:  91%|█████████ | 3629/4000 [18:41<01:12,  5.15it/s]

train:   3%|▎         | 114/3515 [00:25<11:00,  5.15it/s]
overall:  91%|█████████ | 3630/4000 [18:41<01:13,  5.03it/s]

train:   3%|▎         | 115/3515 [00:25<11:15,  5.03it/s]
overall:  91%|█████████ | 3631/4000 [18:41<01:12,  5.08it/s]

train:   3%|▎         | 116/3515 [00:25<11:09,  5.08it/s]
overall:  91%|█████████ | 3632/4000 [18:42<01:14,  4.97it/s]

train:   3%|▎         | 117/3515 [00:25<11:23,  4.97it/s]
overall:  91%|█████████ | 3633/4000 [18:42<01:17,  4.76it/s]

train:   3%|▎         | 118/3515 [00:26<11:53,  4.76it/s]
overall:  91%|█████████ | 3634/4000 [18:42<01:17,  4.72it/s]

train:   3%|▎         | 119/3515 [00:26<12:00,  4.72it/s]
overall:  91%|█████████ | 3635/4000 [18:42<01:17,  4.72it/s]

train:   3%|▎         | 120/3515 [00:26<11:59,  4.72it/s]
overall:  91%|█████████ | 3636/4000 [18:43<01:36,  3.77it/s]

train:   3%|▎         | 121/3515 [00:27<15:01,  3.77it/s]
overall:  91%|█████████ | 3637/4000 [18:43<01:31,  3.97it/s]

train:   3%|▎         | 122/3515 [00:27<14:15,  3.97it/s]
overall:  91%|█████████ | 3638/4000 [18:43<01:26,  4.19it/s]

train:   3%|▎         | 123/3515 [00:27<13:29,  4.19it/s]
overall:  91%|█████████ | 3639/4000 [18:43<01:24,  4.29it/s]

train:   4%|▎         | 124/3515 [00:27<13:09,  4.29it/s]
overall:  91%|█████████ | 3640/4000 [18:44<01:22,  4.37it/s]

train:   4%|▎         | 125/3515 [00:27<12:55,  4.37it/s]
overall:  91%|█████████ | 3641/4000 [18:44<01:20,  4.45it/s]

train:   4%|▎         | 126/3515 [00:28<12:42,  4.45it/s]
overall:  91%|█████████ | 3642/4000 [18:44<01:19,  4.52it/s]

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train:  14%|█▍        | 484/3515 [01:44<10:30,  4.81it/s]train loss: 1.326923131942749
train per: 0.3525167105529674
train loss: 1.299439549446106
train per: 0.3565999825281733
train loss: 1.335723638534546
train per: 0.35954484127994296
train loss: 1.379884123802185
train per: 0.365177304964539
train loss: 1.3579661846160889
train per: 0.3666861069553972
train loss: 1.3315668106079102
train per: 0.35739803512950286
train loss: 1.3484902381896973
train per: 0.35541021227768216
train loss: 1.3219616413116455
train per: 0.35770075042115473
train loss: 1.3306434154510498
train per: 0.36954860403505196
train loss: 1.339040756225586
train per: 0.3709535856265166
train loss: 1.3130098581314087
train per: 0.35038130189219435
train loss: 1.3882709741592407
train per: 0.3616912092815707
train loss: 1.3091377019882202
train per: 0.35382482671707627
train loss: 1.3520429134368896
train per: 0.3595499752016497
train loss: 1.374255895614624
train per: 0.3707608052862983
train loss: 1.3182151317596436
train per: 0.35354304719831414
train loss: 1.3239455223083496
train per: 0.3584552485099256
train loss: 1.3361573219299316
train per: 0.36112563578457
train loss: 1.3380759954452515
train per: 0.3552573148467953
train loss: 1.2987687587738037
train per: 0.34506367566304474
train loss: 1.3330755233764648
train per: 0.36126373626373626
train loss: 1.3401139974594116
train per: 0.3556143834105449
train loss: 1.346458911895752
train per: 0.3606444079025762
train loss: 1.3287943601608276
train per: 0.3563995331647539
train loss: 1.3271257877349854
train per: 0.35495615990488927
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▍        | 405/2703 [00:00<00:00, 4042.77it/s]


word -> phonemes:  34%|███▍      | 918/2703 [00:00<00:00, 4676.94it/s]


word -> phonemes:  55%|█████▍    | 1478/2703 [00:00<00:00, 5094.65it/s]


word -> phonemes:  74%|███████▎  | 1988/2703 [00:00<00:00, 4932.55it/s]


word -> phonemes:  93%|█████████▎| 2505/2703 [00:00<00:00, 5013.16it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4933.55it/s]



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overall: 100%|█████████▉| 3999/4000 [22:00<00:00,  4.81it/s]

train:  14%|█▍        | 484/3515 [03:43<10:30,  4.81it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:00<00:00,  4.81it/s]

train:  14%|█▍        | 484/3515 [03:43<10:30,  4.81it/s]
overall: 100%|██████████| 4000/4000 [22:00<00:00, 32.45s/it]

train:  14%|█▍        | 485/3515 [03:44<27:18:49, 32.45s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:44<23:21,  2.16it/s]   

overall: 100%|██████████| 4000/4000 [22:00<00:00,  3.03it/s]
dev loss: 1.6757352352142334
dev per: 0.4124609781477627
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt