/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-09-29 15:01:08 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_demuc_vocal_addmel {'model_config': None, 'refresh': False}
Loading model from Local mert_test_demuc_vocal_addmel
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.


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word -> phonemes:  21%|██        | 745/3515 [00:00<00:01, 2538.98it/s]

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word -> phonemes:  95%|█████████▍| 3324/3515 [00:01<00:00, 2247.60it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2208.34it/s]


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train:   4%|▍         | 135/3515 [00:29<12:07,  4.65it/s]
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train:   4%|▍         | 136/3515 [00:29<13:52,  4.06it/s]
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train:   4%|▍         | 140/3515 [00:30<11:59,  4.69it/s]
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train:   4%|▍         | 144/3515 [00:31<11:35,  4.84it/s]
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train:   4%|▍         | 146/3515 [00:31<09:47,  5.73it/s]
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train:   4%|▍         | 147/3515 [00:31<09:40,  5.81it/s]
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train:   4%|▍         | 149/3515 [00:32<10:27,  5.36it/s]
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train:   4%|▍         | 152/3515 [00:32<09:58,  5.62it/s]
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train:   4%|▍         | 153/3515 [00:32<10:26,  5.37it/s]
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train:   4%|▍         | 154/3515 [00:33<12:06,  4.62it/s]
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train:   4%|▍         | 155/3515 [00:33<13:24,  4.18it/s]
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train:   4%|▍         | 157/3515 [00:33<11:35,  4.83it/s]
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train:   4%|▍         | 158/3515 [00:34<11:36,  4.82it/s]
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train:   5%|▍         | 159/3515 [00:34<11:46,  4.75it/s]
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train:   5%|▍         | 160/3515 [00:34<14:07,  3.96it/s]
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train:   5%|▍         | 161/3515 [00:34<13:30,  4.14it/s]
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train:   5%|▍         | 162/3515 [00:35<12:49,  4.36it/s]
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train:   5%|▍         | 163/3515 [00:35<12:38,  4.42it/s]
overall:   4%|▍         | 164/4000 [00:38<14:13,  4.49it/s]

train:   5%|▍         | 164/3515 [00:35<12:25,  4.49it/s]
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train:   5%|▍         | 165/3515 [00:35<12:10,  4.59it/s]
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train:   5%|▍         | 166/3515 [00:35<11:52,  4.70it/s]
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train:   5%|▍         | 167/3515 [00:36<11:47,  4.73it/s]
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train:   5%|▍         | 168/3515 [00:36<11:46,  4.74it/s]
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train:   5%|▍         | 169/3515 [00:36<11:53,  4.69it/s]
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train:   5%|▍         | 170/3515 [00:36<11:40,  4.77it/s]
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train:   5%|▍         | 171/3515 [00:36<11:22,  4.90it/s]
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train:   5%|▍         | 173/3515 [00:37<08:39,  6.43it/s]
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train:   5%|▍         | 174/3515 [00:37<09:24,  5.92it/s]
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train:   5%|▍         | 175/3515 [00:37<09:59,  5.57it/s]
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train:   5%|▌         | 176/3515 [00:37<10:34,  5.26it/s]
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train:   5%|▌         | 177/3515 [00:38<11:01,  5.05it/s]
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train:   5%|▌         | 178/3515 [00:38<12:47,  4.35it/s]
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train:   5%|▌         | 179/3515 [00:38<13:59,  3.98it/s]
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train:   5%|▌         | 180/3515 [00:38<13:09,  4.23it/s]
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train:   5%|▌         | 181/3515 [00:39<13:16,  4.19it/s]
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train:   5%|▌         | 182/3515 [00:39<12:35,  4.41it/s]
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train:   5%|▌         | 183/3515 [00:39<12:17,  4.52it/s]
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train:   5%|▌         | 184/3515 [00:39<12:48,  4.34it/s]
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train:   5%|▌         | 185/3515 [00:39<12:10,  4.56it/s]
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train:   5%|▌         | 186/3515 [00:40<12:05,  4.59it/s]
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train:   5%|▌         | 187/3515 [00:40<11:48,  4.70it/s]
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train:   5%|▌         | 188/3515 [00:40<11:30,  4.82it/s]
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train:   5%|▌         | 189/3515 [00:40<11:43,  4.73it/s]
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train:   5%|▌         | 190/3515 [00:40<11:45,  4.71it/s]
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train:   5%|▌         | 191/3515 [00:41<11:32,  4.80it/s]
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train:   5%|▌         | 192/3515 [00:41<11:30,  4.81it/s]
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train:   5%|▌         | 193/3515 [00:41<11:39,  4.75it/s]
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train:   6%|▌         | 194/3515 [00:41<11:39,  4.75it/s]
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train:   6%|▌         | 195/3515 [00:41<10:59,  5.04it/s]
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train:   6%|▌         | 197/3515 [00:42<09:09,  6.03it/s]
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overall:   9%|▉         | 373/4000 [01:22<14:12,  4.25it/s]

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overall:   9%|▉         | 374/4000 [01:22<13:00,  4.64it/s]

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overall:   9%|▉         | 375/4000 [01:23<11:10,  5.40it/s]

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overall:   9%|▉         | 377/4000 [01:23<09:34,  6.31it/s]

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overall:   9%|▉         | 378/4000 [01:23<10:30,  5.75it/s]

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overall:   9%|▉         | 379/4000 [01:23<11:28,  5.26it/s]

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overall:  10%|▉         | 380/4000 [01:24<12:08,  4.97it/s]

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overall:  10%|▉         | 381/4000 [01:24<12:12,  4.94it/s]

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overall:  10%|▉         | 382/4000 [01:24<12:02,  5.00it/s]

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overall:  10%|▉         | 383/4000 [01:24<12:00,  5.02it/s]

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overall:  10%|▉         | 384/4000 [01:24<12:20,  4.88it/s]

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overall:  10%|▉         | 385/4000 [01:25<12:20,  4.88it/s]

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overall:  10%|▉         | 386/4000 [01:25<12:12,  4.94it/s]

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overall:  10%|▉         | 387/4000 [01:25<11:45,  5.12it/s]

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overall:  10%|▉         | 388/4000 [01:25<11:48,  5.09it/s]

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overall:  10%|▉         | 389/4000 [01:25<12:16,  4.90it/s]

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overall:  10%|▉         | 390/4000 [01:26<11:48,  5.10it/s]

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overall:  10%|▉         | 391/4000 [01:26<11:46,  5.11it/s]

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overall:  10%|▉         | 392/4000 [01:26<12:07,  4.96it/s]

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overall:  10%|▉         | 393/4000 [01:26<12:03,  4.99it/s]

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overall:  10%|▉         | 394/4000 [01:26<12:15,  4.90it/s]

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overall:  10%|▉         | 395/4000 [01:27<19:12,  3.13it/s]

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overall:  10%|▉         | 396/4000 [01:27<17:02,  3.52it/s]

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overall:  10%|▉         | 397/4000 [01:27<15:47,  3.80it/s]

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overall:  10%|▉         | 398/4000 [01:28<14:54,  4.03it/s]

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overall:  10%|█         | 401/4000 [01:28<11:46,  5.09it/s]

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overall:  10%|█         | 402/4000 [01:28<12:04,  4.97it/s]

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overall:  10%|█         | 403/4000 [01:28<12:00,  5.00it/s]

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overall:  10%|█         | 404/4000 [01:29<12:18,  4.87it/s]

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overall:  10%|█         | 405/4000 [01:29<12:22,  4.84it/s]

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overall:  10%|█         | 406/4000 [01:29<12:29,  4.79it/s]

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overall:  10%|█         | 407/4000 [01:29<12:19,  4.86it/s]

train:  12%|█▏        | 407/3515 [01:26<10:39,  4.86it/s]
overall:  10%|█         | 408/4000 [01:29<12:13,  4.89it/s]

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overall:  10%|█         | 409/4000 [01:30<12:13,  4.90it/s]

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overall:  10%|█         | 410/4000 [01:30<12:15,  4.88it/s]

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overall:  10%|█         | 411/4000 [01:30<11:50,  5.05it/s]

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overall:  10%|█         | 412/4000 [01:30<12:07,  4.93it/s]

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overall:  10%|█         | 413/4000 [01:30<11:51,  5.04it/s]

train:  12%|█▏        | 413/3515 [01:28<10:15,  5.04it/s]
overall:  10%|█         | 414/4000 [01:31<11:58,  4.99it/s]

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overall:  10%|█         | 415/4000 [01:31<11:29,  5.20it/s]

train:  12%|█▏        | 415/3515 [01:28<09:56,  5.20it/s]
overall:  10%|█         | 417/4000 [01:31<10:19,  5.78it/s]

train:  12%|█▏        | 417/3515 [01:28<08:55,  5.78it/s]
overall:  10%|█         | 418/4000 [01:31<10:44,  5.55it/s]

train:  12%|█▏        | 418/3515 [01:28<09:17,  5.55it/s]
overall:  10%|█         | 419/4000 [01:32<17:02,  3.50it/s]

train:  12%|█▏        | 419/3515 [01:29<14:43,  3.50it/s]
overall:  10%|█         | 420/4000 [01:32<15:56,  3.74it/s]

train:  12%|█▏        | 420/3515 [01:29<13:46,  3.74it/s]
overall:  11%|█         | 421/4000 [01:32<14:57,  3.99it/s]

train:  12%|█▏        | 421/3515 [01:29<12:55,  3.99it/s]
overall:  11%|█         | 422/4000 [01:33<14:20,  4.16it/s]

train:  12%|█▏        | 422/3515 [01:30<12:24,  4.16it/s]
overall:  11%|█         | 423/4000 [01:33<13:50,  4.31it/s]

train:  12%|█▏        | 423/3515 [01:30<11:57,  4.31it/s]
overall:  11%|█         | 424/4000 [01:33<12:15,  4.86it/s]

train:  12%|█▏        | 424/3515 [01:30<10:35,  4.86it/s]
overall:  11%|█         | 425/4000 [01:33<12:26,  4.79it/s]

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overall:  11%|█         | 426/4000 [01:33<12:15,  4.86it/s]

train:  12%|█▏        | 426/3515 [01:30<10:36,  4.86it/s]
overall:  11%|█         | 428/4000 [01:34<10:35,  5.62it/s]

train:  12%|█▏        | 428/3515 [01:31<09:08,  5.62it/s]
overall:  11%|█         | 429/4000 [01:34<10:57,  5.43it/s]

train:  12%|█▏        | 429/3515 [01:31<09:28,  5.43it/s]
overall:  11%|█         | 430/4000 [01:34<11:09,  5.33it/s]

train:  12%|█▏        | 430/3515 [01:31<09:38,  5.33it/s]
overall:  11%|█         | 431/4000 [01:34<11:38,  5.11it/s]

train:  12%|█▏        | 431/3515 [01:31<10:03,  5.11it/s]
overall:  11%|█         | 432/4000 [01:34<12:01,  4.95it/s]

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overall:  11%|█         | 433/4000 [01:35<12:06,  4.91it/s]

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overall:  11%|█         | 434/4000 [01:35<12:18,  4.83it/s]

train:  12%|█▏        | 434/3515 [01:32<10:37,  4.83it/s]
overall:  11%|█         | 435/4000 [01:35<12:13,  4.86it/s]

train:  12%|█▏        | 435/3515 [01:32<10:33,  4.86it/s]
overall:  11%|█         | 436/4000 [01:35<11:59,  4.96it/s]

train:  12%|█▏        | 436/3515 [01:32<10:21,  4.96it/s]
overall:  11%|█         | 437/4000 [01:35<12:05,  4.91it/s]

train:  12%|█▏        | 437/3515 [01:33<10:26,  4.91it/s]
overall:  11%|█         | 438/4000 [01:36<12:05,  4.91it/s]

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overall:  11%|█         | 439/4000 [01:36<12:11,  4.87it/s]

train:  12%|█▏        | 439/3515 [01:33<10:31,  4.87it/s]
overall:  11%|█         | 440/4000 [01:36<11:12,  5.30it/s]

train:  13%|█▎        | 440/3515 [01:33<09:40,  5.29it/s]
overall:  11%|█         | 441/4000 [01:36<11:33,  5.13it/s]

train:  13%|█▎        | 441/3515 [01:33<09:59,  5.13it/s]
overall:  11%|█         | 442/4000 [01:36<11:25,  5.19it/s]

train:  13%|█▎        | 442/3515 [01:34<09:51,  5.19it/s]
overall:  11%|█         | 443/4000 [01:37<18:41,  3.17it/s]

train:  13%|█▎        | 443/3515 [01:34<16:08,  3.17it/s]
overall:  11%|█         | 444/4000 [01:37<16:56,  3.50it/s]

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overall:  11%|█         | 445/4000 [01:37<15:38,  3.79it/s]

train:  13%|█▎        | 445/3515 [01:35<13:30,  3.79it/s]
overall:  11%|█         | 446/4000 [01:38<14:55,  3.97it/s]

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overall:  11%|█         | 447/4000 [01:38<14:16,  4.15it/s]

train:  13%|█▎        | 447/3515 [01:35<12:19,  4.15it/s]
overall:  11%|█         | 448/4000 [01:38<13:54,  4.26it/s]

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overall:  11%|█         | 449/4000 [01:38<13:45,  4.30it/s]

train:  13%|█▎        | 449/3515 [01:35<11:52,  4.30it/s]
overall:  11%|█▏        | 450/4000 [01:39<12:58,  4.56it/s]

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overall:  11%|█▏        | 451/4000 [01:39<12:34,  4.70it/s]

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overall:  11%|█▏        | 452/4000 [01:39<12:42,  4.65it/s]

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overall:  11%|█▏        | 453/4000 [01:39<12:32,  4.71it/s]

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overall:  11%|█▏        | 454/4000 [01:39<12:29,  4.73it/s]

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overall:  11%|█▏        | 455/4000 [01:40<12:32,  4.71it/s]

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overall:  11%|█▏        | 456/4000 [01:40<12:36,  4.68it/s]

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overall:  11%|█▏        | 457/4000 [01:40<12:16,  4.81it/s]

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overall:  11%|█▏        | 458/4000 [01:40<12:26,  4.74it/s]

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overall:  11%|█▏        | 459/4000 [01:40<12:01,  4.91it/s]

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overall:  12%|█▏        | 460/4000 [01:41<12:23,  4.76it/s]

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overall:  12%|█▏        | 461/4000 [01:41<12:28,  4.73it/s]

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overall:  12%|█▏        | 462/4000 [01:41<12:07,  4.86it/s]

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overall:  12%|█▏        | 463/4000 [01:41<11:56,  4.94it/s]

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overall:  12%|█▏        | 465/4000 [01:42<10:30,  5.61it/s]

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overall:  12%|█▏        | 467/4000 [01:42<14:41,  4.01it/s]

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overall:  12%|█▏        | 468/4000 [01:42<14:14,  4.13it/s]

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overall:  12%|█▏        | 469/4000 [01:43<13:54,  4.23it/s]

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overall:  12%|█▏        | 470/4000 [01:43<13:38,  4.31it/s]

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overall:  12%|█▏        | 471/4000 [01:43<13:03,  4.50it/s]

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overall:  12%|█▏        | 472/4000 [01:43<13:12,  4.45it/s]

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overall:  12%|█▏        | 473/4000 [01:44<13:04,  4.50it/s]

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overall:  12%|█▏        | 474/4000 [01:44<12:58,  4.53it/s]

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overall:  12%|█▏        | 475/4000 [01:44<12:52,  4.56it/s]

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overall:  12%|█▏        | 476/4000 [01:44<12:34,  4.67it/s]

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overall:  13%|█▎        | 536/4000 [01:57<10:41,  5.40it/s]

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overall:  13%|█▎        | 537/4000 [01:57<11:04,  5.21it/s]

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overall:  13%|█▎        | 538/4000 [01:57<09:51,  5.85it/s]

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overall:  13%|█▎        | 539/4000 [01:58<17:46,  3.25it/s]

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overall:  25%|██▍       | 988/4000 [03:33<10:42,  4.69it/s]

train:  28%|██▊       | 988/3515 [03:30<08:59,  4.69it/s]
overall:  25%|██▍       | 989/4000 [03:33<10:29,  4.78it/s]

train:  28%|██▊       | 989/3515 [03:30<08:47,  4.78it/s]
overall:  25%|██▍       | 990/4000 [03:33<10:17,  4.87it/s]

train:  28%|██▊       | 990/3515 [03:30<08:38,  4.87it/s]
overall:  25%|██▍       | 991/4000 [03:33<10:34,  4.74it/s]

train:  28%|██▊       | 991/3515 [03:30<08:51,  4.74it/s]
overall:  25%|██▍       | 992/4000 [03:34<10:28,  4.78it/s]

train:  28%|██▊       | 992/3515 [03:31<08:47,  4.78it/s]
overall:  25%|██▍       | 993/4000 [03:34<10:37,  4.72it/s]

train:  28%|██▊       | 993/3515 [03:31<08:54,  4.72it/s]
overall:  25%|██▍       | 994/4000 [03:34<10:27,  4.79it/s]

train:  28%|██▊       | 994/3515 [03:31<08:46,  4.79it/s]
overall:  25%|██▍       | 995/4000 [03:34<13:03,  3.84it/s]

train:  28%|██▊       | 995/3515 [03:32<10:56,  3.84it/s]
overall:  25%|██▍       | 996/4000 [03:35<11:44,  4.27it/s]

train:  28%|██▊       | 996/3515 [03:32<09:50,  4.27it/s]
overall:  25%|██▍       | 997/4000 [03:35<11:31,  4.34it/s]

train:  28%|██▊       | 997/3515 [03:32<09:39,  4.34it/s]
overall:  25%|██▍       | 998/4000 [03:35<12:05,  4.14it/s]

train:  28%|██▊       | 998/3515 [03:32<10:08,  4.14it/s]
overall:  25%|██▍       | 999/4000 [03:35<11:18,  4.42it/s]

train:  28%|██▊       | 999/3515 [03:32<09:28,  4.42it/s]train loss: 3.7433483600616455
train per: 0.8355254346253784
train loss: 2.7006561756134033
train per: 0.695813406306744
train loss: 2.5586183071136475
train per: 0.6633958933624069
train loss: 2.492283344268799
train per: 0.6465914589116096
train loss: 2.4738688468933105
train per: 0.6445419510609649
train loss: 2.434495449066162
train per: 0.642538316751815
train loss: 2.4027323722839355
train per: 0.6351107425114645
train loss: 2.4731013774871826
train per: 0.6454236207079834
train loss: 2.362853765487671
train per: 0.6208700306554426
train loss: 2.345102548599243
train per: 0.6217045765963277
train loss: 2.3411824703216553
train per: 0.6249177220189042
train loss: 2.353782892227173
train per: 0.6231790704588247
train loss: 2.3962457180023193
train per: 0.6324935248410642
train loss: 2.345984697341919
train per: 0.6154845356207028
train loss: 2.309699535369873
train per: 0.6145369781733419
train loss: 2.324376344680786
train per: 0.6167054443927408
train loss: 2.297245502471924
train per: 0.6118931048551611
train loss: 2.317619562149048
train per: 0.6223328392852149
train loss: 2.327310085296631
train per: 0.6156176835146674
train loss: 2.2780609130859375
train per: 0.6051810080056392
train loss: 2.2701804637908936
train per: 0.6053910084095785
train loss: 2.3309073448181152
train per: 0.6167658655415756
train loss: 2.327422618865967
train per: 0.6099301682111643
train loss: 2.324592113494873
train per: 0.6164044673952204
train loss: 2.2973148822784424
train per: 0.6082081234116545
train loss: 2.2515487670898438
train per: 0.601213686249193
train loss: 2.303467273712158
train per: 0.6082659700315457
train loss: 2.2577247619628906
train per: 0.601644909211036
train loss: 2.2524571418762207
train per: 0.5937990170448604
train loss: 2.2694077491760254
train per: 0.6065339895855625
train loss: 2.3051862716674805
train per: 0.6079688738381728
train loss: 2.255283832550049
train per: 0.6010385538627345
train loss: 2.2952446937561035
train per: 0.6103966549892643
train loss: 2.284782886505127
train per: 0.6069071254092823
train loss: 2.261650562286377
train per: 0.6020007632339311
train loss: 2.263744354248047
train per: 0.6053431544487314
train loss: 2.305943250656128
train per: 0.603105356975326
train loss: 2.2938942909240723
train per: 0.6039527597011328
train loss: 2.2766976356506348
train per: 0.6049294736324765
train loss: 2.2739081382751465
train per: 0.6011305505594357
train loss: 2.252469539642334
train per: 0.6020121789780248
train loss: 2.255650281906128
train per: 0.6034463924845704
train loss: 2.269641160964966
train per: 0.6017447081462476
train loss: 2.2996115684509277
train per: 0.6059725625931633
train loss: 2.2538037300109863
train per: 0.5992935536773054
train loss: 2.2570912837982178
train per: 0.596822130772748
train loss: 2.276620388031006
train per: 0.6022492244053774
train loss: 2.2757773399353027
train per: 0.6044923193218326
train loss: 2.2606871128082275
train per: 0.6013373406956968
train loss: 2.2409582138061523
train per: 0.5984139140746597
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 279/2703 [00:00<00:00, 2787.65it/s]


word -> phonemes:  21%|██        | 558/2703 [00:00<00:00, 2344.66it/s]


word -> phonemes:  29%|██▉       | 797/2703 [00:00<00:00, 2284.72it/s]


word -> phonemes:  38%|███▊      | 1035/2703 [00:00<00:00, 2318.93it/s]


word -> phonemes:  48%|████▊     | 1308/2703 [00:00<00:00, 2457.99it/s]


word -> phonemes:  59%|█████▊    | 1583/2703 [00:00<00:00, 2553.14it/s]


word -> phonemes:  69%|██████▉   | 1866/2703 [00:00<00:00, 2641.02it/s]


word -> phonemes:  79%|███████▉  | 2132/2703 [00:00<00:00, 2561.51it/s]


word -> phonemes:  89%|████████▊ | 2398/2703 [00:00<00:00, 2590.75it/s]


word -> phonemes:  99%|█████████▊| 2666/2703 [00:01<00:00, 2615.63it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2538.73it/s]



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overall:  47%|████▋     | 1872/4000 [08:27<06:54,  5.14it/s]

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overall:  47%|████▋     | 1877/4000 [08:28<07:07,  4.97it/s]

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overall:  47%|████▋     | 1894/4000 [08:32<07:38,  4.59it/s]

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overall:  47%|████▋     | 1895/4000 [08:32<07:12,  4.87it/s]

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overall:  47%|████▋     | 1898/4000 [08:33<06:41,  5.23it/s]

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overall:  47%|████▋     | 1899/4000 [08:33<06:51,  5.10it/s]

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overall:  48%|████▊     | 1900/4000 [08:33<07:11,  4.86it/s]

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overall:  48%|████▊     | 1901/4000 [08:34<07:07,  4.91it/s]

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overall:  48%|████▊     | 1903/4000 [08:34<06:49,  5.12it/s]

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overall:  48%|████▊     | 1914/4000 [08:36<07:07,  4.87it/s]

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overall:  48%|████▊     | 1926/4000 [08:39<06:54,  5.01it/s]

train:  55%|█████▍    | 1926/3515 [08:36<05:17,  5.01it/s]
overall:  48%|████▊     | 1927/4000 [08:39<06:55,  4.99it/s]

train:  55%|█████▍    | 1927/3515 [08:36<05:18,  4.99it/s]
overall:  48%|████▊     | 1929/4000 [08:39<06:08,  5.62it/s]

train:  55%|█████▍    | 1929/3515 [08:36<04:42,  5.62it/s]
overall:  48%|████▊     | 1930/4000 [08:39<06:31,  5.29it/s]

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overall:  48%|████▊     | 1931/4000 [08:40<06:46,  5.08it/s]

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overall:  48%|████▊     | 1932/4000 [08:40<06:59,  4.93it/s]

train:  55%|█████▍    | 1932/3515 [08:37<05:20,  4.93it/s]
overall:  48%|████▊     | 1933/4000 [08:40<07:08,  4.83it/s]

train:  55%|█████▍    | 1933/3515 [08:37<05:27,  4.83it/s]
overall:  48%|████▊     | 1934/4000 [08:41<11:31,  2.99it/s]

train:  55%|█████▌    | 1934/3515 [08:38<08:49,  2.99it/s]
overall:  48%|████▊     | 1935/4000 [08:41<10:21,  3.32it/s]

train:  55%|█████▌    | 1935/3515 [08:38<07:55,  3.32it/s]
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overall:  48%|████▊     | 1937/4000 [08:41<07:57,  4.32it/s]

train:  55%|█████▌    | 1937/3515 [08:38<06:05,  4.32it/s]
overall:  48%|████▊     | 1938/4000 [08:41<07:36,  4.52it/s]

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train:  55%|█████▌    | 1939/3515 [08:39<05:50,  4.49it/s]
overall:  48%|████▊     | 1940/4000 [08:42<07:27,  4.60it/s]

train:  55%|█████▌    | 1940/3515 [08:39<05:42,  4.60it/s]
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train:  55%|█████▌    | 1941/3515 [08:39<05:27,  4.81it/s]
overall:  49%|████▊     | 1942/4000 [08:42<07:14,  4.74it/s]

train:  55%|█████▌    | 1942/3515 [08:39<05:32,  4.74it/s]
overall:  49%|████▊     | 1943/4000 [08:43<07:18,  4.69it/s]

train:  55%|█████▌    | 1943/3515 [08:40<05:34,  4.69it/s]
overall:  49%|████▊     | 1945/4000 [08:43<06:27,  5.30it/s]

train:  55%|█████▌    | 1945/3515 [08:40<04:56,  5.30it/s]
overall:  49%|████▊     | 1946/4000 [08:43<06:44,  5.08it/s]

train:  55%|█████▌    | 1946/3515 [08:40<05:08,  5.08it/s]
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train:  55%|█████▌    | 1948/3515 [08:40<04:34,  5.72it/s]
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train:  55%|█████▌    | 1950/3515 [08:41<05:06,  5.10it/s]
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overall:  49%|████▉     | 1952/4000 [08:44<06:57,  4.90it/s]

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overall:  49%|████▉     | 1953/4000 [08:44<07:04,  4.83it/s]

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overall:  49%|████▉     | 1954/4000 [08:45<07:17,  4.67it/s]

train:  56%|█████▌    | 1954/3515 [08:42<05:34,  4.67it/s]
overall:  49%|████▉     | 1955/4000 [08:45<07:06,  4.79it/s]

train:  56%|█████▌    | 1955/3515 [08:42<05:25,  4.79it/s]
overall:  49%|████▉     | 1956/4000 [08:45<07:02,  4.83it/s]

train:  56%|█████▌    | 1956/3515 [08:42<05:22,  4.83it/s]
overall:  49%|████▉     | 1957/4000 [08:45<07:08,  4.77it/s]

train:  56%|█████▌    | 1957/3515 [08:42<05:26,  4.77it/s]
overall:  49%|████▉     | 1958/4000 [08:46<11:27,  2.97it/s]

train:  56%|█████▌    | 1958/3515 [08:43<08:44,  2.97it/s]
overall:  49%|████▉     | 1959/4000 [08:46<10:11,  3.34it/s]

train:  56%|█████▌    | 1959/3515 [08:43<07:46,  3.34it/s]
overall:  49%|████▉     | 1960/4000 [08:46<09:19,  3.65it/s]

train:  56%|█████▌    | 1960/3515 [08:43<07:06,  3.65it/s]
overall:  49%|████▉     | 1961/4000 [08:47<08:41,  3.91it/s]

train:  56%|█████▌    | 1961/3515 [08:44<06:37,  3.91it/s]
overall:  49%|████▉     | 1962/4000 [08:47<08:18,  4.09it/s]

train:  56%|█████▌    | 1962/3515 [08:44<06:20,  4.09it/s]
overall:  49%|████▉     | 1963/4000 [08:47<08:08,  4.17it/s]

train:  56%|█████▌    | 1963/3515 [08:44<06:12,  4.17it/s]
overall:  49%|████▉     | 1964/4000 [08:47<07:42,  4.40it/s]

train:  56%|█████▌    | 1964/3515 [08:44<05:52,  4.40it/s]
overall:  49%|████▉     | 1965/4000 [08:47<07:36,  4.46it/s]

train:  56%|█████▌    | 1965/3515 [08:45<05:47,  4.46it/s]
overall:  49%|████▉     | 1966/4000 [08:48<07:18,  4.64it/s]

train:  56%|█████▌    | 1966/3515 [08:45<05:33,  4.64it/s]
overall:  49%|████▉     | 1967/4000 [08:48<06:57,  4.87it/s]

train:  56%|█████▌    | 1967/3515 [08:45<05:17,  4.87it/s]
overall:  49%|████▉     | 1968/4000 [08:48<06:39,  5.08it/s]

train:  56%|█████▌    | 1968/3515 [08:45<05:04,  5.08it/s]
overall:  49%|████▉     | 1969/4000 [08:48<06:54,  4.90it/s]

train:  56%|█████▌    | 1969/3515 [08:45<05:15,  4.90it/s]
overall:  49%|████▉     | 1970/4000 [08:48<07:05,  4.77it/s]

train:  56%|█████▌    | 1970/3515 [08:46<05:24,  4.77it/s]
overall:  49%|████▉     | 1971/4000 [08:49<07:10,  4.71it/s]

train:  56%|█████▌    | 1971/3515 [08:46<05:27,  4.71it/s]
overall:  49%|████▉     | 1972/4000 [08:49<07:12,  4.69it/s]

train:  56%|█████▌    | 1972/3515 [08:46<05:28,  4.69it/s]
overall:  49%|████▉     | 1973/4000 [08:49<07:14,  4.67it/s]

train:  56%|█████▌    | 1973/3515 [08:46<05:30,  4.67it/s]
overall:  49%|████▉     | 1974/4000 [08:49<07:19,  4.61it/s]

train:  56%|█████▌    | 1974/3515 [08:46<05:34,  4.61it/s]
overall:  49%|████▉     | 1975/4000 [08:50<07:28,  4.51it/s]

train:  56%|█████▌    | 1975/3515 [08:47<05:41,  4.51it/s]
overall:  49%|████▉     | 1976/4000 [08:50<07:19,  4.60it/s]

train:  56%|█████▌    | 1976/3515 [08:47<05:34,  4.60it/s]
overall:  49%|████▉     | 1977/4000 [08:50<07:24,  4.55it/s]

train:  56%|█████▌    | 1977/3515 [08:47<05:38,  4.55it/s]
overall:  49%|████▉     | 1978/4000 [08:50<07:13,  4.67it/s]

train:  56%|█████▋    | 1978/3515 [08:47<05:29,  4.67it/s]
overall:  49%|████▉     | 1979/4000 [08:50<06:43,  5.01it/s]

train:  56%|█████▋    | 1979/3515 [08:47<05:06,  5.01it/s]
overall:  50%|████▉     | 1980/4000 [08:51<10:43,  3.14it/s]

train:  56%|█████▋    | 1980/3515 [08:48<08:09,  3.14it/s]
overall:  50%|████▉     | 1981/4000 [08:51<09:01,  3.73it/s]

train:  56%|█████▋    | 1981/3515 [08:48<06:51,  3.73it/s]
overall:  50%|████▉     | 1982/4000 [08:51<08:38,  3.89it/s]

train:  56%|█████▋    | 1982/3515 [08:48<06:33,  3.89it/s]
overall:  50%|████▉     | 1984/4000 [08:52<07:04,  4.75it/s]

train:  56%|█████▋    | 1984/3515 [08:49<05:22,  4.75it/s]
overall:  50%|████▉     | 1985/4000 [08:52<07:06,  4.73it/s]

train:  56%|█████▋    | 1985/3515 [08:49<05:23,  4.73it/s]
overall:  50%|████▉     | 1986/4000 [08:52<06:09,  5.45it/s]

train:  57%|█████▋    | 1986/3515 [08:49<04:40,  5.45it/s]
overall:  50%|████▉     | 1987/4000 [08:52<06:24,  5.24it/s]

train:  57%|█████▋    | 1987/3515 [08:49<04:51,  5.24it/s]
overall:  50%|████▉     | 1988/4000 [08:52<06:41,  5.02it/s]

train:  57%|█████▋    | 1988/3515 [08:49<05:04,  5.02it/s]
overall:  50%|████▉     | 1989/4000 [08:53<06:53,  4.86it/s]

train:  57%|█████▋    | 1989/3515 [08:50<05:13,  4.86it/s]
overall:  50%|████▉     | 1990/4000 [08:53<07:06,  4.72it/s]

train:  57%|█████▋    | 1990/3515 [08:50<05:23,  4.72it/s]
overall:  50%|████▉     | 1991/4000 [08:53<07:11,  4.65it/s]

train:  57%|█████▋    | 1991/3515 [08:50<05:27,  4.65it/s]
overall:  50%|████▉     | 1992/4000 [08:53<06:16,  5.34it/s]

train:  57%|█████▋    | 1992/3515 [08:50<04:45,  5.34it/s]
overall:  50%|████▉     | 1993/4000 [08:53<06:34,  5.09it/s]

train:  57%|█████▋    | 1993/3515 [08:50<04:58,  5.09it/s]
overall:  50%|████▉     | 1994/4000 [08:54<06:41,  4.99it/s]

train:  57%|█████▋    | 1994/3515 [08:51<05:04,  4.99it/s]
overall:  50%|████▉     | 1995/4000 [08:54<06:56,  4.81it/s]

train:  57%|█████▋    | 1995/3515 [08:51<05:15,  4.81it/s]
overall:  50%|████▉     | 1996/4000 [08:54<06:55,  4.83it/s]

train:  57%|█████▋    | 1996/3515 [08:51<05:14,  4.83it/s]
overall:  50%|████▉     | 1997/4000 [08:54<07:04,  4.72it/s]

train:  57%|█████▋    | 1997/3515 [08:51<05:21,  4.72it/s]
overall:  50%|████▉     | 1998/4000 [08:54<07:02,  4.74it/s]

train:  57%|█████▋    | 1998/3515 [08:52<05:20,  4.74it/s]
overall:  50%|████▉     | 1999/4000 [08:55<06:58,  4.79it/s]

train:  57%|█████▋    | 1999/3515 [08:52<05:16,  4.79it/s]dev loss: 2.502629518508911
dev per: 0.6315400624349636
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.258474826812744
train per: 0.6047692424280698
train loss: 2.236137866973877
train per: 0.6020427404148334
train loss: 2.299765110015869
train per: 0.6073089549516688
train loss: 2.2389748096466064
train per: 0.601761525168627
train loss: 2.302013635635376
train per: 0.6039215686274509
train loss: 2.265824794769287
train per: 0.6006885890949972
train loss: 2.235013484954834
train per: 0.5963721171287898
train loss: 2.2494707107543945
train per: 0.5974531571808911
train loss: 2.2464091777801514
train per: 0.59825556455841
train loss: 2.244962692260742
train per: 0.5964216785770173
train loss: 2.2702994346618652
train per: 0.5992112000369029
train loss: 2.227375030517578
train per: 0.5965895367373557
train loss: 2.2746877670288086
train per: 0.6003543406732473
train loss: 2.225498676300049
train per: 0.5952896138482024
train loss: 2.248730421066284
train per: 0.6006774286537907
train loss: 2.280775785446167
train per: 0.601714313544051
train loss: 2.264072895050049
train per: 0.601296780798544
train loss: 2.227181911468506
train per: 0.597575622154568
train loss: 2.2676079273223877
train per: 0.6009646552394783
train loss: 2.257058620452881
train per: 0.5954341058457281
train loss: 2.219616174697876
train per: 0.5942444984176051
train loss: 2.2365803718566895
train per: 0.5935034802784223
train loss: 2.20453143119812
train per: 0.5938021454112038
train loss: 2.2593700885772705
train per: 0.5948128443853316
train loss: 2.2891077995300293
train per: 0.607638298389252
train loss: 2.2636971473693848
train per: 0.6019986216402481
train loss: 2.2400665283203125
train per: 0.5937314239394759
train loss: 2.2964396476745605
train per: 0.6059623802200402
train loss: 2.265406370162964
train per: 0.5966659652568329
train loss: 2.2673094272613525
train per: 0.5979612439366705
train loss: 2.2322635650634766
train per: 0.5950493779658843
train loss: 2.2692503929138184
train per: 0.6067945818438267
train loss: 2.266232967376709
train per: 0.6030442804428044
train loss: 2.2644338607788086
train per: 0.6024330402780618
train loss: 2.2167956829071045
train per: 0.5902585020878086
train loss: 2.220921754837036
train per: 0.6076739766522881
train loss: 2.2793354988098145
train per: 0.6092588660012741
train loss: 2.2357537746429443
train per: 0.5964960170732313
train loss: 2.225395679473877
train per: 0.5970323985842635
train loss: 2.3002655506134033
train per: 0.6037853577371048
train loss: 2.2805590629577637
train per: 0.5988400845209729
train loss: 2.2662229537963867
train per: 0.6024790413002109
train loss: 2.226444721221924
train per: 0.5912666799442342
train loss: 2.2048115730285645
train per: 0.5905380894800484
train loss: 2.242361068725586
train per: 0.5962578638252432
train loss: 2.2362005710601807
train per: 0.5976866850518087
train loss: 2.237994909286499
train per: 0.5946260525012382
train loss: 2.2906241416931152
train per: 0.6066842812775228
train loss: 2.2027344703674316
train per: 0.5900100090558124
train loss: 2.2480459213256836
train per: 0.5936584775505265
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 249/2703 [00:00<00:00, 2484.70it/s]


word -> phonemes:  18%|█▊        | 498/2703 [00:00<00:00, 2419.09it/s]


word -> phonemes:  27%|██▋       | 741/2703 [00:00<00:00, 2322.70it/s]


word -> phonemes:  36%|███▋      | 985/2703 [00:00<00:00, 2364.39it/s]


word -> phonemes:  47%|████▋     | 1257/2703 [00:00<00:00, 2488.75it/s]


word -> phonemes:  56%|█████▌    | 1508/2703 [00:00<00:00, 2494.45it/s]


word -> phonemes:  65%|██████▌   | 1764/2703 [00:00<00:00, 2513.80it/s]


word -> phonemes:  75%|███████▍  | 2016/2703 [00:00<00:00, 2461.16it/s]


word -> phonemes:  85%|████████▍ | 2294/2703 [00:00<00:00, 2556.38it/s]


word -> phonemes:  95%|█████████▍| 2562/2703 [00:01<00:00, 2569.89it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2477.78it/s]



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


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dev:   2%|▏         | 53/2703 [00:04<02:22, 18.61it/s]


dev:   2%|▏         | 56/2703 [00:04<02:12, 19.93it/s]


dev:   2%|▏         | 58/2703 [00:04<02:14, 19.59it/s]


dev:   2%|▏         | 60/2703 [00:04<02:17, 19.24it/s]


dev:   2%|▏         | 62/2703 [00:04<02:21, 18.71it/s]


dev:   2%|▏         | 64/2703 [00:04<02:20, 18.78it/s]


dev:   2%|▏         | 66/2703 [00:05<02:24, 18.28it/s]


dev:   3%|▎         | 68/2703 [00:05<02:23, 18.32it/s]


dev:   3%|▎         | 70/2703 [00:05<02:25, 18.15it/s]


dev:   3%|▎         | 72/2703 [00:05<02:25, 18.12it/s]


dev:   3%|▎         | 74/2703 [00:05<02:31, 17.40it/s]


dev:   3%|▎         | 76/2703 [00:05<02:26, 17.97it/s]


dev:   3%|▎         | 79/2703 [00:05<02:23, 18.30it/s]


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dev:   3%|▎         | 83/2703 [00:06<02:26, 17.93it/s]


dev:   3%|▎         | 85/2703 [00:06<02:23, 18.22it/s]


dev:   3%|▎         | 87/2703 [00:06<02:28, 17.61it/s]


dev:   3%|▎         | 89/2703 [00:06<02:29, 17.53it/s]


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dev:   5%|▌         | 137/2703 [00:08<02:12, 19.38it/s]


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dev:   5%|▌         | 148/2703 [00:09<02:06, 20.16it/s]


dev:   6%|▌         | 151/2703 [00:09<02:09, 19.65it/s]


dev:   6%|▌         | 154/2703 [00:09<02:08, 19.88it/s]


dev:   6%|▌         | 157/2703 [00:09<02:05, 20.33it/s]


dev:   6%|▌         | 160/2703 [00:10<02:07, 19.94it/s]


dev:   6%|▌         | 162/2703 [00:10<02:11, 19.32it/s]


dev:   6%|▌         | 164/2703 [00:10<02:14, 18.93it/s]


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dev:   6%|▋         | 170/2703 [00:10<02:02, 20.65it/s]


dev:   6%|▋         | 173/2703 [00:10<02:02, 20.69it/s]


dev:   7%|▋         | 176/2703 [00:10<02:04, 20.24it/s]


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dev:   7%|▋         | 185/2703 [00:11<01:59, 21.08it/s]


dev:   7%|▋         | 188/2703 [00:11<02:07, 19.79it/s]


dev:   7%|▋         | 190/2703 [00:11<02:11, 19.11it/s]


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dev:   8%|▊         | 207/2703 [00:12<02:03, 20.18it/s]


dev:   8%|▊         | 210/2703 [00:12<01:58, 20.97it/s]


dev:   8%|▊         | 213/2703 [00:12<01:56, 21.35it/s]


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overall:  75%|███████▍  | 2981/4000 [14:16<03:00,  5.64it/s]

train:  85%|████████▍ | 2981/3515 [14:13<01:34,  5.64it/s]
overall:  75%|███████▍  | 2983/4000 [14:16<02:45,  6.14it/s]

train:  85%|████████▍ | 2983/3515 [14:13<01:26,  6.14it/s]
overall:  75%|███████▍  | 2984/4000 [14:17<03:49,  4.43it/s]

train:  85%|████████▍ | 2984/3515 [14:14<01:59,  4.43it/s]
overall:  75%|███████▍  | 2985/4000 [14:17<03:44,  4.52it/s]

train:  85%|████████▍ | 2985/3515 [14:14<01:57,  4.52it/s]
overall:  75%|███████▍  | 2986/4000 [14:17<03:52,  4.37it/s]

train:  85%|████████▍ | 2986/3515 [14:14<02:01,  4.37it/s]
overall:  75%|███████▍  | 2987/4000 [14:17<03:44,  4.51it/s]

train:  85%|████████▍ | 2987/3515 [14:15<01:57,  4.51it/s]
overall:  75%|███████▍  | 2988/4000 [14:18<03:57,  4.26it/s]

train:  85%|████████▌ | 2988/3515 [14:15<02:03,  4.26it/s]
overall:  75%|███████▍  | 2989/4000 [14:18<03:55,  4.29it/s]

train:  85%|████████▌ | 2989/3515 [14:15<02:02,  4.29it/s]
overall:  75%|███████▍  | 2990/4000 [14:18<03:55,  4.28it/s]

train:  85%|████████▌ | 2990/3515 [14:15<02:02,  4.28it/s]
overall:  75%|███████▍  | 2991/4000 [14:18<03:37,  4.63it/s]

train:  85%|████████▌ | 2991/3515 [14:15<01:53,  4.63it/s]
overall:  75%|███████▍  | 2992/4000 [14:19<03:37,  4.64it/s]

train:  85%|████████▌ | 2992/3515 [14:16<01:52,  4.64it/s]
overall:  75%|███████▍  | 2993/4000 [14:19<03:35,  4.67it/s]

train:  85%|████████▌ | 2993/3515 [14:16<01:51,  4.67it/s]
overall:  75%|███████▍  | 2994/4000 [14:19<03:33,  4.72it/s]

train:  85%|████████▌ | 2994/3515 [14:16<01:50,  4.72it/s]
overall:  75%|███████▍  | 2995/4000 [14:19<03:35,  4.67it/s]

train:  85%|████████▌ | 2995/3515 [14:16<01:51,  4.67it/s]
overall:  75%|███████▍  | 2996/4000 [14:19<03:39,  4.58it/s]

train:  85%|████████▌ | 2996/3515 [14:17<01:53,  4.58it/s]
overall:  75%|███████▍  | 2997/4000 [14:20<03:39,  4.56it/s]

train:  85%|████████▌ | 2997/3515 [14:17<01:53,  4.56it/s]
overall:  75%|███████▍  | 2998/4000 [14:20<03:31,  4.75it/s]

train:  85%|████████▌ | 2998/3515 [14:17<01:48,  4.75it/s]
overall:  75%|███████▍  | 2999/4000 [14:20<03:36,  4.63it/s]

train:  85%|████████▌ | 2999/3515 [14:17<01:51,  4.63it/s]dev loss: 2.5027003288269043
dev per: 0.6361810613943808
train loss: 2.198310375213623
train per: 0.589698715705016
train loss: 2.205371856689453
train per: 0.6000660865734112
train loss: 2.235729694366455
train per: 0.5959470636889992
train loss: 2.2512412071228027
train per: 0.5948235183087958
train loss: 2.215270757675171
train per: 0.5904759529036121
train loss: 2.2259292602539062
train per: 0.5915421858149194
train loss: 2.2465922832489014
train per: 0.5951359084406295
train loss: 2.254807949066162
train per: 0.6005256869772999
train loss: 2.1806044578552246
train per: 0.5842136007399114
train loss: 2.2174861431121826
train per: 0.5893864723948289
train loss: 2.2224738597869873
train per: 0.5899350079044441
train loss: 2.2283895015716553
train per: 0.5963440750560881
train loss: 2.272062301635742
train per: 0.6049240804106074
train loss: 2.2402689456939697
train per: 0.5943467184277569
train loss: 2.1966748237609863
train per: 0.5959432624113475
train loss: 2.263409376144409
train per: 0.599315685215199
train loss: 2.2565226554870605
train per: 0.5976961179587605
train loss: 2.229975461959839
train per: 0.5974530762542832
train loss: 2.2182698249816895
train per: 0.5926745154001665
train loss: 2.231870174407959
train per: 0.5944147907480467
train loss: 2.2249255180358887
train per: 0.5988858681166374
train loss: 2.291511058807373
train per: 0.6030555948507568
train loss: 2.283432960510254
train per: 0.6007508254556968
train loss: 2.219822406768799
train per: 0.5920175315894997
train loss: 2.220536708831787
train per: 0.5919543310463122
train loss: 2.2096922397613525
train per: 0.5915459397636295
train loss: 2.189847946166992
train per: 0.5872311288456544
train loss: 2.203502655029297
train per: 0.5913712887908293
train loss: 2.200352191925049
train per: 0.5895326361698964
train loss: 2.267468214035034
train per: 0.5976389236403339
train loss: 2.2028491497039795
train per: 0.5929986642920748
train loss: 2.1870198249816895
train per: 0.5892695773411479
train loss: 2.2057900428771973
train per: 0.5934747145187602
train loss: 2.21720552444458
train per: 0.5955036467079375
train loss: 2.2510156631469727
train per: 0.5949764521193093
train loss: 2.2302613258361816
train per: 0.6016930458280483
train loss: 2.25240159034729
train per: 0.6034274442115646
train loss: 2.2028253078460693
train per: 0.5914605250687138
train loss: 2.233572006225586
train per: 0.5980854900296988
train loss: 2.2088656425476074
train per: 0.589150388915289
train loss: 2.198054790496826
train per: 0.5920300303286432
train loss: 2.213236093521118
train per: 0.5984049530405583
train loss: 2.1947498321533203
train per: 0.5916361791331749
train loss: 2.278696298599243
train per: 0.6011075913307049
train loss: 2.210763692855835
train per: 0.5947253998654175
train loss: 2.2375874519348145
train per: 0.5957255343082115
train loss: 2.243879795074463
train per: 0.5989221591400329
train loss: 2.2752156257629395
train per: 0.6039115376779772
train loss: 2.2195541858673096
train per: 0.5940521572290526
train loss: 2.2663984298706055
train per: 0.6079001873952067
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 254/2703 [00:00<00:00, 2532.59it/s]


word -> phonemes:  19%|█▉        | 508/2703 [00:00<00:00, 2382.71it/s]


word -> phonemes:  28%|██▊       | 749/2703 [00:00<00:00, 2393.18it/s]


word -> phonemes:  38%|███▊      | 1039/2703 [00:00<00:00, 2587.84it/s]


word -> phonemes:  48%|████▊     | 1309/2703 [00:00<00:00, 2624.71it/s]


word -> phonemes:  59%|█████▉    | 1599/2703 [00:00<00:00, 2716.85it/s]


word -> phonemes:  70%|██████▉   | 1884/2703 [00:00<00:00, 2758.67it/s]


word -> phonemes:  80%|███████▉  | 2161/2703 [00:00<00:00, 2626.53it/s]


word -> phonemes:  90%|█████████ | 2436/2703 [00:00<00:00, 2663.48it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2608.59it/s]



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train: 100%|██████████| 3515/3515 [18:00<00:00,  4.96it/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 [18:00<00:00,  3.25it/s]
dev loss: 2.493561029434204
dev per: 0.6387669094693028
train loss: 2.18172025680542
train per: 0.587457754412317
train loss: 2.217026472091675
train per: 0.5942361224823972
train loss: 2.1971192359924316
train per: 0.5904643691588785
train loss: 2.1865592002868652
train per: 0.5861938605776501
train loss: 2.2168543338775635
train per: 0.5874026558098799
train loss: 2.214707612991333
train per: 0.5927693713821468
train loss: 2.1938259601593018
train per: 0.5903893618092984
train loss: 2.2580618858337402
train per: 0.5994572656756562
train loss: 2.2524170875549316
train per: 0.5993327191693848
train loss: 2.19891619682312
train per: 0.5917217440920546
train loss: 2.2289302349090576
train per: 0.5948121891572555
train loss: 2.277250289916992
train per: 0.600881015759346
train loss: 2.1790616512298584
train per: 0.5855327714177884
train loss: 2.199209690093994
train per: 0.590632077894786
train loss: 2.228925943374634
train per: 0.5949612403100775
train loss: 2.246690273284912
train per: 0.5968635317179913
train loss: 2.251533269882202
train per: 0.5937442796997986
train loss: 2.219987392425537
train per: 0.5955597444758614
train loss: 2.2364442348480225
train per: 0.5988506959088992
train loss: 2.223933219909668
train per: 0.5934630223333153
train loss: 2.2355599403381348
train per: 0.6007813789687999
train loss: 2.272017002105713
train per: 0.6020125003241785
train loss: 2.258317470550537
train per: 0.5962369570927151
train loss: 2.2457358837127686
train per: 0.6028553048297703
train loss: 2.244965076446533
train per: 0.5898816693828385
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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word -> phonemes:   7%|▋         | 230/3515 [00:00<00:01, 2296.49it/s]

word -> phonemes:  14%|█▍        | 489/3515 [00:00<00:01, 2467.69it/s]

word -> phonemes:  21%|██        | 736/3515 [00:00<00:01, 2453.47it/s]

word -> phonemes:  29%|██▊       | 1009/3515 [00:00<00:00, 2559.91it/s]

word -> phonemes:  36%|███▌      | 1266/3515 [00:00<00:00, 2536.75it/s]

word -> phonemes:  44%|████▍     | 1545/3515 [00:00<00:00, 2620.66it/s]

word -> phonemes:  51%|█████▏    | 1808/3515 [00:00<00:00, 2513.52it/s]

word -> phonemes:  59%|█████▉    | 2086/3515 [00:00<00:00, 2594.99it/s]

word -> phonemes:  67%|██████▋   | 2351/3515 [00:00<00:00, 2611.39it/s]

word -> phonemes:  74%|███████▍  | 2613/3515 [00:01<00:00, 2585.22it/s]

word -> phonemes:  82%|████████▏ | 2887/3515 [00:01<00:00, 2631.16it/s]

word -> phonemes:  90%|████████▉ | 3151/3515 [00:01<00:00, 2610.43it/s]

word -> phonemes:  97%|█████████▋| 3413/3515 [00:01<00:00, 2253.46it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2454.76it/s]


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overall:  90%|████████▉ | 3589/4000 [18:22<01:21,  5.07it/s]

train:   2%|▏         | 74/3515 [00:16<11:19,  5.07it/s]
overall:  90%|████████▉ | 3590/4000 [18:22<01:23,  4.92it/s]

train:   2%|▏         | 75/3515 [00:16<11:39,  4.92it/s]
overall:  90%|████████▉ | 3591/4000 [18:23<01:41,  4.03it/s]

train:   2%|▏         | 76/3515 [00:17<14:13,  4.03it/s]
overall:  90%|████████▉ | 3592/4000 [18:23<01:32,  4.40it/s]

train:   2%|▏         | 77/3515 [00:17<13:00,  4.40it/s]
overall:  90%|████████▉ | 3593/4000 [18:23<01:31,  4.42it/s]

train:   2%|▏         | 78/3515 [00:17<12:56,  4.42it/s]
overall:  90%|████████▉ | 3594/4000 [18:23<01:28,  4.60it/s]

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overall:  90%|████████▉ | 3595/4000 [18:23<01:22,  4.90it/s]

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overall:  90%|████████▉ | 3596/4000 [18:24<01:21,  4.98it/s]

train:   2%|▏         | 81/3515 [00:18<11:28,  4.98it/s]
overall:  90%|████████▉ | 3597/4000 [18:24<01:24,  4.75it/s]

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overall:  90%|████████▉ | 3598/4000 [18:24<01:22,  4.89it/s]

train:   2%|▏         | 83/3515 [00:18<11:41,  4.89it/s]
overall:  90%|████████▉ | 3599/4000 [18:24<01:17,  5.15it/s]

train:   2%|▏         | 84/3515 [00:18<11:06,  5.15it/s]
overall:  90%|█████████ | 3600/4000 [18:24<01:22,  4.85it/s]

train:   2%|▏         | 85/3515 [00:18<11:47,  4.85it/s]
overall:  90%|█████████ | 3601/4000 [18:25<01:22,  4.81it/s]

train:   2%|▏         | 86/3515 [00:19<11:52,  4.81it/s]
overall:  90%|█████████ | 3602/4000 [18:25<01:21,  4.86it/s]

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overall:  90%|█████████ | 3603/4000 [18:25<01:41,  3.90it/s]

train:   3%|▎         | 88/3515 [00:19<14:39,  3.90it/s]
overall:  90%|█████████ | 3604/4000 [18:25<01:36,  4.11it/s]

train:   3%|▎         | 89/3515 [00:19<13:53,  4.11it/s]
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overall:  90%|█████████ | 3611/4000 [18:27<01:19,  4.87it/s]

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overall:  90%|█████████ | 3616/4000 [18:28<01:38,  3.91it/s]

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overall:  91%|█████████ | 3621/4000 [18:29<01:25,  4.42it/s]

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overall:  91%|█████████ | 3622/4000 [18:29<01:23,  4.55it/s]

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overall:  91%|█████████ | 3623/4000 [18:29<01:21,  4.63it/s]

train:   3%|▎         | 108/3515 [00:23<12:15,  4.63it/s]
overall:  91%|█████████ | 3624/4000 [18:30<01:21,  4.61it/s]

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overall:  91%|█████████ | 3625/4000 [18:30<01:20,  4.64it/s]

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overall:  91%|█████████ | 3626/4000 [18:30<01:18,  4.78it/s]

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overall:  91%|█████████ | 3627/4000 [18:30<01:41,  3.67it/s]

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overall:  91%|█████████ | 3629/4000 [18:31<01:20,  4.63it/s]

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overall:  91%|█████████ | 3630/4000 [18:31<01:19,  4.67it/s]

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overall:  91%|█████████ | 3631/4000 [18:31<01:16,  4.81it/s]

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overall:  91%|█████████ | 3632/4000 [18:31<01:17,  4.72it/s]

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overall:  91%|█████████ | 3633/4000 [18:32<01:19,  4.61it/s]

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overall:  91%|█████████ | 3634/4000 [18:32<01:19,  4.63it/s]

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overall:  91%|█████████ | 3635/4000 [18:32<01:18,  4.65it/s]

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overall:  91%|█████████ | 3636/4000 [18:32<01:18,  4.63it/s]

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overall:  91%|█████████ | 3637/4000 [18:32<01:19,  4.59it/s]

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overall:  91%|█████████ | 3638/4000 [18:33<01:18,  4.64it/s]

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overall:  91%|█████████ | 3639/4000 [18:33<01:39,  3.64it/s]

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overall:  91%|█████████ | 3640/4000 [18:33<01:33,  3.87it/s]

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overall:  91%|█████████ | 3641/4000 [18:34<01:28,  4.07it/s]

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overall: 100%|█████████▉| 3993/4000 [19:48<00:01,  5.15it/s]

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train:  14%|█▍        | 484/3515 [01:44<12:14,  4.13it/s]train loss: 2.232098340988159
train per: 0.5927435689690095
train loss: 2.205665111541748
train per: 0.5968375993710142
train loss: 2.2140021324157715
train per: 0.590866278033755
train loss: 2.2694129943847656
train per: 0.5969503546099291
train loss: 2.2444217205047607
train per: 0.6006542079772802
train loss: 2.22019100189209
train per: 0.591892428302074
train loss: 2.2366881370544434
train per: 0.5917154331612163
train loss: 2.2138724327087402
train per: 0.5938792179284292
train loss: 2.2280149459838867
train per: 0.6062003260648053
train loss: 2.232304096221924
train per: 0.5969074293974909
train loss: 2.238830327987671
train per: 0.5952473907498503
train loss: 2.269970655441284
train per: 0.5981258366800536
train loss: 2.196430206298828
train per: 0.5906994328922496
train loss: 2.2371468544006348
train per: 0.5955780625962568
train loss: 2.2738475799560547
train per: 0.6047874938935027
train loss: 2.21513032913208
train per: 0.5970497880011171
train loss: 2.1989684104919434
train per: 0.593222008768041
train loss: 2.213393211364746
train per: 0.5908161810144031
train loss: 2.2370574474334717
train per: 0.5953520501307544
train loss: 2.206611394882202
train per: 0.5851384507535927
train loss: 2.2119393348693848
train per: 0.5956959706959707
train loss: 2.220736026763916
train per: 0.5922788440326494
train loss: 2.247049331665039
train per: 0.5998188794356665
train loss: 2.217349052429199
train per: 0.5899144135382222
train loss: 2.2224624156951904
train per: 0.5922128102244019
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 287/2703 [00:00<00:00, 2868.85it/s]


word -> phonemes:  21%|██        | 574/2703 [00:00<00:00, 2640.50it/s]


word -> phonemes:  31%|███       | 840/2703 [00:00<00:00, 2438.40it/s]


word -> phonemes:  40%|████      | 1086/2703 [00:00<00:00, 2440.47it/s]


word -> phonemes:  51%|█████     | 1381/2703 [00:00<00:00, 2613.94it/s]


word -> phonemes:  61%|██████    | 1644/2703 [00:00<00:00, 2597.41it/s]


word -> phonemes:  70%|███████   | 1905/2703 [00:00<00:00, 2400.96it/s]


word -> phonemes:  80%|███████▉  | 2150/2703 [00:00<00:00, 2414.46it/s]


word -> phonemes:  89%|████████▊ | 2394/2703 [00:00<00:00, 2342.97it/s]


word -> phonemes:  97%|█████████▋| 2630/2703 [00:01<00:00, 2316.61it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2436.35it/s]



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overall: 100%|█████████▉| 3999/4000 [21:40<00:00,  4.13it/s]

train:  14%|█▍        | 484/3515 [03:34<12:14,  4.13it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:40<00:00,  4.13it/s]

train:  14%|█▍        | 484/3515 [03:34<12:14,  4.13it/s]
overall: 100%|██████████| 4000/4000 [21:40<00:00, 30.23s/it]

train:  14%|█▍        | 485/3515 [03:34<25:26:44, 30.23s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:35<22:25,  2.25it/s]   

overall: 100%|██████████| 4000/4000 [21:41<00:00,  3.07it/s]
dev loss: 2.52994966506958
dev per: 0.6387825182101977
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt