/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")
2023-09-28 15:16:31 | 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.


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

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word -> phonemes:  82%|████████▏ | 2889/3515 [00:01<00:00, 1836.15it/s]

word -> phonemes:  89%|████████▉ | 3132/3515 [00:01<00:00, 1989.78it/s]

word -> phonemes:  95%|█████████▌| 3350/3515 [00:01<00:00, 2039.40it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 1891.69it/s]


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train:   3%|▎         | 116/3515 [00:24<11:30,  4.92it/s]
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overall:   3%|▎         | 126/4000 [00:30<14:41,  4.40it/s]

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train:   4%|▍         | 134/3515 [00:28<11:45,  4.80it/s]
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train:   4%|▍         | 135/3515 [00:28<11:20,  4.97it/s]
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train:   4%|▍         | 136/3515 [00:29<11:08,  5.05it/s]
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train:   4%|▍         | 137/3515 [00:29<11:19,  4.97it/s]
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train:   4%|▍         | 138/3515 [00:29<10:50,  5.19it/s]
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train:   4%|▍         | 139/3515 [00:29<10:33,  5.33it/s]
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train:   4%|▍         | 140/3515 [00:29<10:54,  5.15it/s]
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train:   4%|▍         | 143/3515 [00:30<10:41,  5.26it/s]
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train:   4%|▍         | 144/3515 [00:30<11:04,  5.08it/s]
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train:   4%|▍         | 146/3515 [00:31<10:58,  5.11it/s]
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train:   4%|▍         | 147/3515 [00:31<10:30,  5.34it/s]
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train:   4%|▍         | 148/3515 [00:31<10:32,  5.32it/s]
overall:   4%|▎         | 149/4000 [00:35<12:49,  5.01it/s]

train:   4%|▍         | 149/3515 [00:31<11:12,  5.01it/s]
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train:   4%|▍         | 151/3515 [00:31<10:26,  5.37it/s]
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train:   4%|▍         | 152/3515 [00:32<10:27,  5.36it/s]
overall:   4%|▍         | 153/4000 [00:35<12:33,  5.11it/s]

train:   4%|▍         | 153/3515 [00:32<10:58,  5.11it/s]
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train:   4%|▍         | 154/3515 [00:32<13:01,  4.30it/s]
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train:   4%|▍         | 155/3515 [00:32<12:36,  4.44it/s]
overall:   4%|▍         | 157/4000 [00:36<12:16,  5.22it/s]

train:   4%|▍         | 157/3515 [00:33<10:43,  5.22it/s]
overall:   4%|▍         | 158/4000 [00:37<12:27,  5.14it/s]

train:   4%|▍         | 158/3515 [00:33<10:53,  5.14it/s]
overall:   4%|▍         | 159/4000 [00:37<12:45,  5.02it/s]

train:   5%|▍         | 159/3515 [00:33<11:08,  5.02it/s]
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train:   5%|▍         | 160/3515 [00:33<11:18,  4.94it/s]
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train:   5%|▍         | 161/3515 [00:34<11:46,  4.75it/s]
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train:   5%|▍         | 162/3515 [00:34<11:37,  4.81it/s]
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train:   5%|▍         | 163/3515 [00:34<11:36,  4.82it/s]
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train:   5%|▍         | 164/3515 [00:34<11:31,  4.84it/s]
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train:   5%|▍         | 165/3515 [00:34<11:44,  4.76it/s]
overall:   4%|▍         | 166/4000 [00:38<13:11,  4.85it/s]

train:   5%|▍         | 166/3515 [00:35<11:31,  4.85it/s]
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train:   5%|▍         | 167/3515 [00:35<11:29,  4.85it/s]
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train:   5%|▍         | 168/3515 [00:35<11:33,  4.83it/s]
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train:   5%|▍         | 169/3515 [00:35<12:48,  4.35it/s]
overall:   4%|▍         | 170/4000 [00:39<15:41,  4.07it/s]

train:   5%|▍         | 170/3515 [00:36<13:42,  4.07it/s]
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train:   5%|▍         | 171/3515 [00:36<12:41,  4.39it/s]
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train:   5%|▍         | 173/3515 [00:36<09:48,  5.68it/s]
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train:   5%|▍         | 174/3515 [00:36<10:26,  5.33it/s]
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train:   5%|▍         | 175/3515 [00:37<12:08,  4.59it/s]
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train:   5%|▌         | 176/3515 [00:37<12:18,  4.52it/s]
overall:   4%|▍         | 177/4000 [00:41<14:10,  4.49it/s]

train:   5%|▌         | 177/3515 [00:37<12:22,  4.49it/s]
overall:   4%|▍         | 178/4000 [00:41<15:57,  3.99it/s]

train:   5%|▌         | 178/3515 [00:37<13:56,  3.99it/s]
overall:   4%|▍         | 179/4000 [00:41<15:13,  4.18it/s]

train:   5%|▌         | 179/3515 [00:38<13:17,  4.18it/s]
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train:   5%|▌         | 180/3515 [00:38<12:34,  4.42it/s]
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train:   5%|▌         | 181/3515 [00:38<12:15,  4.53it/s]
overall:   5%|▍         | 182/4000 [00:42<13:37,  4.67it/s]

train:   5%|▌         | 182/3515 [00:38<11:53,  4.67it/s]
overall:   5%|▍         | 183/4000 [00:42<13:29,  4.72it/s]

train:   5%|▌         | 183/3515 [00:38<11:46,  4.72it/s]
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train:   5%|▌         | 184/3515 [00:38<10:19,  5.38it/s]
overall:   5%|▍         | 185/4000 [00:42<11:54,  5.34it/s]

train:   5%|▌         | 185/3515 [00:39<10:23,  5.34it/s]
overall:   5%|▍         | 186/4000 [00:42<12:29,  5.09it/s]

train:   5%|▌         | 186/3515 [00:39<10:53,  5.09it/s]
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train:   5%|▌         | 187/3515 [00:39<10:55,  5.08it/s]
overall:   5%|▍         | 188/4000 [00:43<12:25,  5.11it/s]

train:   5%|▌         | 188/3515 [00:39<10:50,  5.11it/s]
overall:   5%|▍         | 189/4000 [00:43<12:48,  4.96it/s]

train:   5%|▌         | 189/3515 [00:39<11:10,  4.96it/s]
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train:   5%|▌         | 190/3515 [00:40<11:21,  4.88it/s]
overall:   5%|▍         | 191/4000 [00:43<12:53,  4.93it/s]

train:   5%|▌         | 191/3515 [00:40<11:14,  4.93it/s]
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train:   5%|▌         | 192/3515 [00:40<11:17,  4.90it/s]
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train:   5%|▌         | 193/3515 [00:40<12:39,  4.38it/s]
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train:   6%|▌         | 194/3515 [00:41<13:41,  4.04it/s]
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train:   6%|▌         | 195/3515 [00:41<12:21,  4.48it/s]
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train:   6%|▌         | 197/3515 [00:41<10:09,  5.44it/s]
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train:   6%|▌         | 198/3515 [00:41<10:21,  5.34it/s]
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train:   6%|▌         | 200/3515 [00:42<09:34,  5.77it/s]
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train:   6%|▌         | 201/3515 [00:42<10:17,  5.37it/s]
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train:   6%|▌         | 202/3515 [00:42<11:55,  4.63it/s]
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train:   6%|▋         | 224/3515 [00:46<10:57,  5.00it/s]
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overall:   9%|▉         | 372/4000 [01:22<13:08,  4.60it/s]

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overall:   9%|▉         | 373/4000 [01:22<12:59,  4.65it/s]

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overall:   9%|▉         | 374/4000 [01:22<12:06,  4.99it/s]

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overall:   9%|▉         | 375/4000 [01:22<10:31,  5.74it/s]

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overall:   9%|▉         | 378/4000 [01:23<10:00,  6.03it/s]

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overall:  10%|▉         | 381/4000 [01:23<11:44,  5.14it/s]

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overall:  10%|▉         | 383/4000 [01:24<11:39,  5.17it/s]

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overall:  10%|▉         | 384/4000 [01:24<12:00,  5.02it/s]

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overall:  10%|▉         | 385/4000 [01:24<13:11,  4.57it/s]

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overall:  10%|▉         | 386/4000 [01:24<14:30,  4.15it/s]

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overall:  10%|▉         | 388/4000 [01:25<13:29,  4.46it/s]

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overall:  10%|▉         | 394/4000 [01:26<14:36,  4.12it/s]

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overall:  10%|█         | 405/4000 [01:28<12:11,  4.91it/s]

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overall:  10%|█         | 406/4000 [01:29<12:24,  4.82it/s]

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overall:  10%|█         | 407/4000 [01:29<12:17,  4.87it/s]

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overall:  10%|█         | 408/4000 [01:29<12:21,  4.84it/s]

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overall:  10%|█         | 409/4000 [01:29<13:04,  4.58it/s]

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overall:  10%|█         | 410/4000 [01:29<14:14,  4.20it/s]

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overall:  10%|█         | 411/4000 [01:30<13:08,  4.55it/s]

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overall:  10%|█         | 412/4000 [01:30<13:39,  4.38it/s]

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overall:  10%|█         | 413/4000 [01:30<13:07,  4.56it/s]

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overall:  10%|█         | 414/4000 [01:30<12:54,  4.63it/s]

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overall:  10%|█         | 415/4000 [01:31<12:51,  4.65it/s]

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overall:  10%|█         | 417/4000 [01:31<11:13,  5.32it/s]

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overall:  10%|█         | 418/4000 [01:31<13:23,  4.46it/s]

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overall:  10%|█         | 419/4000 [01:31<13:02,  4.58it/s]

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overall:  10%|█         | 420/4000 [01:32<13:01,  4.58it/s]

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overall:  11%|█         | 421/4000 [01:32<12:51,  4.64it/s]

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overall:  11%|█         | 422/4000 [01:32<12:49,  4.65it/s]

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overall:  11%|█         | 423/4000 [01:32<12:38,  4.72it/s]

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overall:  11%|█         | 424/4000 [01:32<11:24,  5.23it/s]

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overall:  11%|█         | 425/4000 [01:33<11:46,  5.06it/s]

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overall:  11%|█         | 426/4000 [01:33<11:45,  5.07it/s]

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overall:  11%|█         | 428/4000 [01:33<10:19,  5.76it/s]

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overall:  11%|█         | 429/4000 [01:33<10:41,  5.56it/s]

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overall:  11%|█         | 431/4000 [01:34<11:32,  5.15it/s]

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overall:  11%|█         | 432/4000 [01:34<11:52,  5.01it/s]

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overall:  11%|█         | 433/4000 [01:34<13:12,  4.50it/s]

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overall:  11%|█         | 434/4000 [01:34<14:43,  4.04it/s]

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overall:  11%|█         | 435/4000 [01:35<13:52,  4.28it/s]

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overall:  11%|█         | 436/4000 [01:35<13:41,  4.34it/s]

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overall:  11%|█         | 437/4000 [01:35<13:39,  4.35it/s]

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overall:  11%|█         | 438/4000 [01:35<13:06,  4.53it/s]

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overall:  11%|█         | 439/4000 [01:36<13:32,  4.38it/s]

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overall:  11%|█         | 440/4000 [01:36<12:09,  4.88it/s]

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overall:  11%|█         | 441/4000 [01:36<12:25,  4.77it/s]

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overall:  11%|█         | 442/4000 [01:36<13:43,  4.32it/s]

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overall:  11%|█         | 443/4000 [01:36<13:03,  4.54it/s]

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overall:  11%|█         | 444/4000 [01:37<12:58,  4.57it/s]

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overall:  11%|█         | 445/4000 [01:37<12:47,  4.63it/s]

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overall:  11%|█         | 446/4000 [01:37<12:48,  4.63it/s]

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overall:  11%|█         | 448/4000 [01:37<12:41,  4.67it/s]

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overall:  11%|█▏        | 452/4000 [01:38<12:01,  4.92it/s]

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overall:  11%|█▏        | 453/4000 [01:38<11:59,  4.93it/s]

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overall:  11%|█▏        | 454/4000 [01:39<12:17,  4.81it/s]

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overall:  11%|█▏        | 455/4000 [01:39<12:16,  4.81it/s]

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overall:  11%|█▏        | 457/4000 [01:39<13:20,  4.42it/s]

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overall:  11%|█▏        | 458/4000 [01:40<14:38,  4.03it/s]

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overall:  13%|█▎        | 536/4000 [01:56<11:30,  5.02it/s]

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overall:  13%|█▎        | 537/4000 [01:56<11:52,  4.86it/s]

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overall:  13%|█▎        | 538/4000 [01:57<11:58,  4.82it/s]

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overall:  14%|█▎        | 542/4000 [01:57<12:01,  4.80it/s]

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overall:  14%|█▍        | 563/4000 [02:02<13:30,  4.24it/s]

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overall:  25%|██▍       | 989/4000 [03:31<11:27,  4.38it/s]

train:  28%|██▊       | 989/3515 [03:27<09:36,  4.38it/s]
overall:  25%|██▍       | 990/4000 [03:31<11:41,  4.29it/s]

train:  28%|██▊       | 990/3515 [03:27<09:48,  4.29it/s]
overall:  25%|██▍       | 991/4000 [03:31<12:05,  4.15it/s]

train:  28%|██▊       | 991/3515 [03:28<10:08,  4.15it/s]
overall:  25%|██▍       | 992/4000 [03:31<11:37,  4.32it/s]

train:  28%|██▊       | 992/3515 [03:28<09:44,  4.31it/s]
overall:  25%|██▍       | 993/4000 [03:32<11:13,  4.46it/s]

train:  28%|██▊       | 993/3515 [03:28<09:25,  4.46it/s]
overall:  25%|██▍       | 994/4000 [03:32<10:48,  4.63it/s]

train:  28%|██▊       | 994/3515 [03:28<09:04,  4.63it/s]
overall:  25%|██▍       | 995/4000 [03:32<10:42,  4.68it/s]

train:  28%|██▊       | 995/3515 [03:28<08:58,  4.68it/s]
overall:  25%|██▍       | 996/4000 [03:32<10:03,  4.98it/s]

train:  28%|██▊       | 996/3515 [03:29<08:25,  4.98it/s]
overall:  25%|██▍       | 997/4000 [03:32<10:06,  4.95it/s]

train:  28%|██▊       | 997/3515 [03:29<08:28,  4.95it/s]
overall:  25%|██▍       | 998/4000 [03:33<10:09,  4.93it/s]

train:  28%|██▊       | 998/3515 [03:29<08:30,  4.93it/s]
overall:  25%|██▍       | 999/4000 [03:33<09:55,  5.04it/s]

train:  28%|██▊       | 999/3515 [03:29<08:19,  5.04it/s]train loss: 3.9421799182891846
train per: 0.8959577830757279
train loss: 2.9200427532196045
train per: 0.7331270299992327
train loss: 2.6571526527404785
train per: 0.6932741479116372
train loss: 2.5569660663604736
train per: 0.6639843133260332
train loss: 2.51534366607666
train per: 0.6568695732924734
train loss: 2.446044683456421
train per: 0.6475665501478892
train loss: 2.400449514389038
train per: 0.6326226948970631
train loss: 2.4552769660949707
train per: 0.6409057085149357
train loss: 2.357774257659912
train per: 0.6228407376769987
train loss: 2.3376803398132324
train per: 0.6213483146067416
train loss: 2.34840726852417
train per: 0.6291303546510097
train loss: 2.357948064804077
train per: 0.6249132890694679
train loss: 2.414794445037842
train per: 0.6395102425241347
train loss: 2.3596713542938232
train per: 0.6231215426306241
train loss: 2.2878620624542236
train per: 0.6061312424948788
train loss: 2.3126912117004395
train per: 0.6134481154025128
train loss: 2.28800368309021
train per: 0.6127345981232151
train loss: 2.2959299087524414
train per: 0.6165720517911575
train loss: 2.3170971870422363
train per: 0.6097507230409035
train loss: 2.267709493637085
train per: 0.6035446352147424
train loss: 2.252725124359131
train per: 0.6032701176354534
train loss: 2.295548439025879
train per: 0.6089555237449459
train loss: 2.3126416206359863
train per: 0.6092933374324739
train loss: 2.298828363418579
train per: 0.6058844721988711
train loss: 2.2753844261169434
train per: 0.6005617727049801
train loss: 2.2324135303497314
train per: 0.5962040025823112
train loss: 2.281240224838257
train per: 0.6027701104100947
train loss: 2.241745710372925
train per: 0.5981135944228009
train loss: 2.2299509048461914
train per: 0.5907926382934225
train loss: 2.257214069366455
train per: 0.6040849323537104
train loss: 2.277313709259033
train per: 0.6040300694094195
train loss: 2.2383453845977783
train per: 0.6011365306422378
train loss: 2.270207405090332
train per: 0.6052887331901909
train loss: 2.2632293701171875
train per: 0.600904318902344
train loss: 2.241100549697876
train per: 0.597012484326446
train loss: 2.233491897583008
train per: 0.6042908920846487
train loss: 2.2754433155059814
train per: 0.5947556055915189
train loss: 2.281397581100464
train per: 0.6042901904073271
train loss: 2.253441572189331
train per: 0.6005553644271883
train loss: 2.2707953453063965
train per: 0.6005699469762444
train loss: 2.2363784313201904
train per: 0.6002118083134763
train loss: 2.2386574745178223
train per: 0.6016986181659293
train loss: 2.2451953887939453
train per: 0.5970237331622835
train loss: 2.2635061740875244
train per: 0.5985447563224779
train loss: 2.2310428619384766
train per: 0.5893023842563391
train loss: 2.233490467071533
train per: 0.5941243712848651
train loss: 2.252687931060791
train per: 0.6034126163391934
train loss: 2.254166603088379
train per: 0.6007667179611782
train loss: 2.2317519187927246
train per: 0.5927401505090748
train loss: 2.207603931427002
train per: 0.5924105047310818
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 255/2703 [00:00<00:00, 2548.81it/s]


word -> phonemes:  19%|█▉        | 515/2703 [00:00<00:00, 2578.02it/s]


word -> phonemes:  29%|██▊       | 773/2703 [00:00<00:00, 2390.30it/s]


word -> phonemes:  38%|███▊      | 1026/2703 [00:00<00:00, 2442.82it/s]


word -> phonemes:  47%|████▋     | 1277/2703 [00:00<00:00, 2464.65it/s]


word -> phonemes:  56%|█████▋    | 1525/2703 [00:00<00:00, 2435.67it/s]


word -> phonemes:  67%|██████▋   | 1804/2703 [00:00<00:00, 2547.06it/s]


word -> phonemes:  76%|███████▌  | 2060/2703 [00:00<00:00, 2505.94it/s]


word -> phonemes:  86%|████████▌ | 2312/2703 [00:00<00:00, 2404.75it/s]


word -> phonemes:  94%|█████████▍| 2554/2703 [00:01<00:00, 2356.19it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2442.32it/s]



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overall:  25%|██▍       | 999/4000 [05:19<09:55,  5.04it/s]

train:  28%|██▊       | 999/3515 [05:15<08:19,  5.04it/s]
                                                           

                                                         

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overall:  47%|████▋     | 1877/4000 [08:21<08:27,  4.19it/s]

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overall:  47%|████▋     | 1878/4000 [08:21<08:22,  4.22it/s]

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overall:  47%|████▋     | 1879/4000 [08:21<08:15,  4.28it/s]

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overall:  47%|████▋     | 1880/4000 [08:22<08:05,  4.37it/s]

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overall:  47%|████▋     | 1883/4000 [08:22<08:01,  4.39it/s]

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overall:  47%|████▋     | 1884/4000 [08:23<07:56,  4.45it/s]

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overall:  47%|████▋     | 1894/4000 [08:25<07:19,  4.79it/s]

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overall:  47%|████▋     | 1895/4000 [08:25<06:58,  5.03it/s]

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overall:  48%|████▊     | 1901/4000 [08:26<08:13,  4.25it/s]

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overall:  48%|████▊     | 1902/4000 [08:26<07:07,  4.90it/s]

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overall:  48%|████▊     | 1903/4000 [08:27<07:29,  4.67it/s]

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overall:  48%|████▊     | 1904/4000 [08:27<07:24,  4.72it/s]

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overall:  48%|████▊     | 1905/4000 [08:27<06:20,  5.51it/s]

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overall:  48%|████▊     | 1906/4000 [08:27<07:07,  4.90it/s]

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overall:  48%|████▊     | 1907/4000 [08:27<06:28,  5.39it/s]

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overall:  48%|████▊     | 1914/4000 [08:29<06:09,  5.64it/s]

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overall:  48%|████▊     | 1918/4000 [08:29<06:34,  5.27it/s]

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overall:  48%|████▊     | 1919/4000 [08:30<06:47,  5.11it/s]

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overall:  48%|████▊     | 1920/4000 [08:30<06:56,  5.00it/s]

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overall:  48%|████▊     | 1921/4000 [08:30<07:19,  4.73it/s]

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overall:  48%|████▊     | 1924/4000 [08:31<08:04,  4.29it/s]

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overall:  48%|████▊     | 1930/4000 [08:32<07:22,  4.68it/s]

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overall:  48%|████▊     | 1931/4000 [08:32<07:23,  4.67it/s]

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overall:  48%|████▊     | 1932/4000 [08:32<07:22,  4.67it/s]

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overall:  48%|████▊     | 1934/4000 [08:33<07:56,  4.33it/s]

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overall:  48%|████▊     | 1936/4000 [08:33<06:48,  5.05it/s]

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overall:  48%|████▊     | 1937/4000 [08:34<06:50,  5.03it/s]

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overall:  48%|████▊     | 1938/4000 [08:34<06:48,  5.04it/s]

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overall:  48%|████▊     | 1939/4000 [08:34<07:04,  4.86it/s]

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overall:  48%|████▊     | 1940/4000 [08:34<07:01,  4.89it/s]

train:  55%|█████▌    | 1940/3515 [08:31<05:22,  4.89it/s]
overall:  49%|████▊     | 1941/4000 [08:34<06:47,  5.05it/s]

train:  55%|█████▌    | 1941/3515 [08:31<05:11,  5.05it/s]
overall:  49%|████▊     | 1942/4000 [08:35<06:55,  4.95it/s]

train:  55%|█████▌    | 1942/3515 [08:31<05:17,  4.95it/s]
overall:  49%|████▊     | 1943/4000 [08:35<07:03,  4.86it/s]

train:  55%|█████▌    | 1943/3515 [08:31<05:23,  4.86it/s]
overall:  49%|████▊     | 1945/4000 [08:35<06:12,  5.52it/s]

train:  55%|█████▌    | 1945/3515 [08:31<04:44,  5.52it/s]
overall:  49%|████▊     | 1946/4000 [08:35<08:09,  4.20it/s]

train:  55%|█████▌    | 1946/3515 [08:32<06:13,  4.20it/s]
overall:  49%|████▊     | 1948/4000 [08:36<06:45,  5.06it/s]

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overall:  49%|████▊     | 1949/4000 [08:36<07:32,  4.53it/s]

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overall:  49%|████▉     | 1958/4000 [08:38<07:40,  4.43it/s]

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overall:  49%|████▉     | 1959/4000 [08:38<07:32,  4.52it/s]

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overall:  49%|████▉     | 1960/4000 [08:38<07:27,  4.56it/s]

train:  56%|█████▌    | 1960/3515 [08:35<05:40,  4.56it/s]
overall:  49%|████▉     | 1961/4000 [08:39<07:21,  4.62it/s]

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overall:  49%|████▉     | 1962/4000 [08:39<07:21,  4.62it/s]

train:  56%|█████▌    | 1962/3515 [08:35<05:36,  4.62it/s]
overall:  49%|████▉     | 1963/4000 [08:39<07:23,  4.59it/s]

train:  56%|█████▌    | 1963/3515 [08:36<05:38,  4.59it/s]
overall:  49%|████▉     | 1964/4000 [08:39<07:10,  4.73it/s]

train:  56%|█████▌    | 1964/3515 [08:36<05:27,  4.73it/s]
overall:  49%|████▉     | 1965/4000 [08:40<07:15,  4.68it/s]

train:  56%|█████▌    | 1965/3515 [08:36<05:31,  4.68it/s]
overall:  49%|████▉     | 1966/4000 [08:40<07:01,  4.82it/s]

train:  56%|█████▌    | 1966/3515 [08:36<05:21,  4.82it/s]
overall:  49%|████▉     | 1967/4000 [08:40<06:45,  5.01it/s]

train:  56%|█████▌    | 1967/3515 [08:36<05:08,  5.01it/s]
overall:  49%|████▉     | 1968/4000 [08:40<06:31,  5.19it/s]

train:  56%|█████▌    | 1968/3515 [08:36<04:58,  5.19it/s]
overall:  49%|████▉     | 1969/4000 [08:40<06:53,  4.91it/s]

train:  56%|█████▌    | 1969/3515 [08:37<05:15,  4.91it/s]
overall:  49%|████▉     | 1970/4000 [08:41<08:39,  3.91it/s]

train:  56%|█████▌    | 1970/3515 [08:37<06:35,  3.91it/s]
overall:  49%|████▉     | 1971/4000 [08:41<08:16,  4.09it/s]

train:  56%|█████▌    | 1971/3515 [08:37<06:17,  4.09it/s]
overall:  49%|████▉     | 1972/4000 [08:41<07:54,  4.27it/s]

train:  56%|█████▌    | 1972/3515 [08:38<06:01,  4.27it/s]
overall:  49%|████▉     | 1973/4000 [08:41<08:29,  3.98it/s]

train:  56%|█████▌    | 1973/3515 [08:38<06:27,  3.98it/s]
overall:  49%|████▉     | 1974/4000 [08:42<08:07,  4.16it/s]

train:  56%|█████▌    | 1974/3515 [08:38<06:10,  4.16it/s]
overall:  49%|████▉     | 1975/4000 [08:42<08:01,  4.20it/s]

train:  56%|█████▌    | 1975/3515 [08:38<06:06,  4.20it/s]
overall:  49%|████▉     | 1976/4000 [08:42<07:40,  4.40it/s]

train:  56%|█████▌    | 1976/3515 [08:38<05:50,  4.40it/s]
overall:  49%|████▉     | 1977/4000 [08:42<07:33,  4.46it/s]

train:  56%|█████▌    | 1977/3515 [08:39<05:44,  4.46it/s]
overall:  49%|████▉     | 1978/4000 [08:43<07:41,  4.38it/s]

train:  56%|█████▋    | 1978/3515 [08:39<05:50,  4.38it/s]
overall:  49%|████▉     | 1979/4000 [08:43<07:01,  4.80it/s]

train:  56%|█████▋    | 1979/3515 [08:39<05:20,  4.80it/s]
overall:  50%|████▉     | 1980/4000 [08:43<07:09,  4.70it/s]

train:  56%|█████▋    | 1980/3515 [08:39<05:26,  4.70it/s]
overall:  50%|████▉     | 1981/4000 [08:43<06:30,  5.17it/s]

train:  56%|█████▋    | 1981/3515 [08:39<04:56,  5.17it/s]
overall:  50%|████▉     | 1982/4000 [08:43<06:47,  4.95it/s]

train:  56%|█████▋    | 1982/3515 [08:40<05:09,  4.95it/s]
overall:  50%|████▉     | 1984/4000 [08:44<06:01,  5.58it/s]

train:  56%|█████▋    | 1984/3515 [08:40<04:34,  5.58it/s]
overall:  50%|████▉     | 1985/4000 [08:44<06:17,  5.33it/s]

train:  56%|█████▋    | 1985/3515 [08:40<04:46,  5.33it/s]
overall:  50%|████▉     | 1986/4000 [08:44<05:33,  6.03it/s]

train:  57%|█████▋    | 1986/3515 [08:40<04:13,  6.03it/s]
overall:  50%|████▉     | 1987/4000 [08:44<05:54,  5.68it/s]

train:  57%|█████▋    | 1987/3515 [08:40<04:28,  5.68it/s]
overall:  50%|████▉     | 1988/4000 [08:44<06:20,  5.29it/s]

train:  57%|█████▋    | 1988/3515 [08:41<04:48,  5.29it/s]
overall:  50%|████▉     | 1989/4000 [08:45<06:33,  5.11it/s]

train:  57%|█████▋    | 1989/3515 [08:41<04:58,  5.11it/s]
overall:  50%|████▉     | 1990/4000 [08:45<06:47,  4.94it/s]

train:  57%|█████▋    | 1990/3515 [08:41<05:08,  4.94it/s]
overall:  50%|████▉     | 1991/4000 [08:45<06:56,  4.82it/s]

train:  57%|█████▋    | 1991/3515 [08:41<05:16,  4.82it/s]
overall:  50%|████▉     | 1992/4000 [08:45<06:05,  5.50it/s]

train:  57%|█████▋    | 1992/3515 [08:41<04:36,  5.50it/s]
overall:  50%|████▉     | 1993/4000 [08:45<06:25,  5.21it/s]

train:  57%|█████▋    | 1993/3515 [08:42<04:52,  5.21it/s]
overall:  50%|████▉     | 1994/4000 [08:46<08:19,  4.02it/s]

train:  57%|█████▋    | 1994/3515 [08:42<06:18,  4.02it/s]
overall:  50%|████▉     | 1995/4000 [08:46<07:59,  4.18it/s]

train:  57%|█████▋    | 1995/3515 [08:42<06:03,  4.18it/s]
overall:  50%|████▉     | 1996/4000 [08:46<07:37,  4.38it/s]

train:  57%|█████▋    | 1996/3515 [08:43<05:47,  4.38it/s]
overall:  50%|████▉     | 1997/4000 [08:46<08:13,  4.06it/s]

train:  57%|█████▋    | 1997/3515 [08:43<06:13,  4.06it/s]
overall:  50%|████▉     | 1998/4000 [08:47<07:48,  4.27it/s]

train:  57%|█████▋    | 1998/3515 [08:43<05:55,  4.27it/s]
overall:  50%|████▉     | 1999/4000 [08:47<07:43,  4.32it/s]

train:  57%|█████▋    | 1999/3515 [08:43<05:50,  4.32it/s]dev loss: 2.4655611515045166
dev per: 0.6259261186264308
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.226841926574707
train per: 0.5986813853032561
train loss: 2.214340925216675
train per: 0.5982715273412947
train loss: 2.2755463123321533
train per: 0.5980074776582163
train loss: 2.230278253555298
train per: 0.6002842967835442
train loss: 2.2623775005340576
train per: 0.5936101499423299
train loss: 2.242551326751709
train per: 0.5935684841671351
train loss: 2.220201015472412
train per: 0.594635916040425
train loss: 2.225511074066162
train per: 0.5886371628070528
train loss: 2.221869468688965
train per: 0.5901291644821505
train loss: 2.229008197784424
train per: 0.5983255959522195
train loss: 2.242504835128784
train per: 0.5917614226076527
train loss: 2.1976985931396484
train per: 0.5900922660741027
train loss: 2.2353005409240723
train per: 0.5929638066312326
train loss: 2.1903076171875
train per: 0.5878550821127386
train loss: 2.2110848426818848
train per: 0.5881618141635437
train loss: 2.2612102031707764
train per: 0.5970632640140262
train loss: 2.23321533203125
train per: 0.5957001478785121
train loss: 2.192699909210205
train per: 0.5881909337206379
train loss: 2.227919340133667
train per: 0.5951041153437232
train loss: 2.216348171234131
train per: 0.5835351089588378
train loss: 2.1914656162261963
train per: 0.5893378474522215
train loss: 2.210566282272339
train per: 0.5898400293076078
train loss: 2.1907718181610107
train per: 0.5961329625215204
train loss: 2.239248752593994
train per: 0.5928890366711002
train loss: 2.2561769485473633
train per: 0.606690799543257
train loss: 2.236114263534546
train per: 0.5937744084539398
train loss: 2.2056057453155518
train per: 0.5926236152391245
train loss: 2.2658920288085938
train per: 0.6002129421507157
train loss: 2.234821319580078
train per: 0.5913820111757967
train loss: 2.2323994636535645
train per: 0.593849260089134
train loss: 2.211430549621582
train per: 0.5898935488008208
train loss: 2.2336502075195312
train per: 0.5959971790569295
train loss: 2.237069606781006
train per: 0.5946494464944649
train loss: 2.2417619228363037
train per: 0.6009251686771622
train loss: 2.1878323554992676
train per: 0.583910598344235
train loss: 2.1945862770080566
train per: 0.5998310759856414
train loss: 2.2619640827178955
train per: 0.6071618177957103
train loss: 2.217620849609375
train per: 0.5965208328163387
train loss: 2.2081570625305176
train per: 0.5933569289409202
train loss: 2.2628629207611084
train per: 0.5987936772046589
train loss: 2.2334039211273193
train per: 0.5873982826057637
train loss: 2.2361361980438232
train per: 0.5961528570693823
train loss: 2.202838182449341
train per: 0.5869348735311691
train loss: 2.1826601028442383
train per: 0.5869105199516325
train loss: 2.2076916694641113
train per: 0.5887828771734336
train loss: 2.2127325534820557
train per: 0.5911001633243192
train loss: 2.1973345279693604
train per: 0.5874195146111937
train loss: 2.2520670890808105
train per: 0.5937282714504242
train loss: 2.1680703163146973
train per: 0.5832419808398075
train loss: 2.208681106567383
train per: 0.5897373835168825
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 308/2703 [00:00<00:00, 3075.19it/s]


word -> phonemes:  23%|██▎       | 616/2703 [00:00<00:00, 2776.77it/s]


word -> phonemes:  34%|███▍      | 925/2703 [00:00<00:00, 2909.48it/s]


word -> phonemes:  46%|████▌     | 1232/2703 [00:00<00:00, 2970.28it/s]


word -> phonemes:  57%|█████▋    | 1542/2703 [00:00<00:00, 3013.94it/s]


word -> phonemes:  68%|██████▊   | 1851/2703 [00:00<00:00, 3036.99it/s]


word -> phonemes:  80%|███████▉  | 2156/2703 [00:00<00:00, 3040.85it/s]


word -> phonemes:  91%|█████████ | 2462/2703 [00:00<00:00, 3045.95it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2963.84it/s]



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


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dev:   2%|▏         | 66/2703 [00:04<02:21, 18.65it/s]


dev:   3%|▎         | 68/2703 [00:05<02:21, 18.59it/s]


dev:   3%|▎         | 70/2703 [00:05<02:20, 18.70it/s]


dev:   3%|▎         | 72/2703 [00:05<02:27, 17.81it/s]


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overall:  74%|███████▍  | 2972/4000 [14:03<03:21,  5.09it/s]

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overall:  75%|███████▍  | 2982/4000 [14:05<02:31,  6.73it/s]

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overall:  75%|███████▍  | 2987/4000 [14:06<03:35,  4.71it/s]

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overall:  75%|███████▍  | 2988/4000 [14:06<03:36,  4.67it/s]

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overall:  75%|███████▍  | 2989/4000 [14:06<03:38,  4.63it/s]

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overall:  75%|███████▍  | 2990/4000 [14:07<03:34,  4.70it/s]

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overall:  75%|███████▍  | 2991/4000 [14:07<03:22,  4.99it/s]

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overall:  75%|███████▍  | 2992/4000 [14:07<03:26,  4.88it/s]

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overall:  75%|███████▍  | 2993/4000 [14:07<03:27,  4.84it/s]

train:  85%|████████▌ | 2993/3515 [14:04<01:47,  4.84it/s]
overall:  75%|███████▍  | 2994/4000 [14:07<03:24,  4.93it/s]

train:  85%|████████▌ | 2994/3515 [14:04<01:45,  4.93it/s]
overall:  75%|███████▍  | 2995/4000 [14:08<03:28,  4.82it/s]

train:  85%|████████▌ | 2995/3515 [14:04<01:47,  4.82it/s]
overall:  75%|███████▍  | 2996/4000 [14:08<03:31,  4.75it/s]

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overall:  75%|███████▍  | 2997/4000 [14:08<03:35,  4.65it/s]

train:  85%|████████▌ | 2997/3515 [14:05<01:51,  4.65it/s]
overall:  75%|███████▍  | 2998/4000 [14:08<03:32,  4.71it/s]

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overall:  75%|███████▍  | 2999/4000 [14:09<03:38,  4.59it/s]

train:  85%|████████▌ | 2999/3515 [14:05<01:52,  4.59it/s]dev loss: 2.4564082622528076
dev per: 0.6288397502601457
train loss: 2.1612038612365723
train per: 0.5827252901106594
train loss: 2.171971559524536
train per: 0.5927414913536733
train loss: 2.1994845867156982
train per: 0.5898408991388119
train loss: 2.2263035774230957
train per: 0.5933607021517554
train loss: 2.1922097206115723
train per: 0.5886300139692676
train loss: 2.1917762756347656
train per: 0.5857369036965651
train loss: 2.215973377227783
train per: 0.587044724313422
train loss: 2.231661319732666
train per: 0.5972759856630825
train loss: 2.1564841270446777
train per: 0.5811712018692499
train loss: 2.187185287475586
train per: 0.583601171344904
train loss: 2.198030948638916
train per: 0.5831942736694186
train loss: 2.2131621837615967
train per: 0.5924179074036304
train loss: 2.242072582244873
train per: 0.6021706586826348
train loss: 2.222989320755005
train per: 0.5884022807230377
train loss: 2.160353183746338
train per: 0.5859290780141844
train loss: 2.220400810241699
train per: 0.5899256515139821
train loss: 2.2178516387939453
train per: 0.5899550743001958
train loss: 2.1991121768951416
train per: 0.5910090523193372
train loss: 2.191772937774658
train per: 0.5873468902366512
train loss: 2.2073919773101807
train per: 0.5840746757432763
train loss: 2.1886990070343018
train per: 0.5875046644277413
train loss: 2.2668039798736572
train per: 0.5985052105436884
train loss: 2.2549920082092285
train per: 0.5966800850332444
train loss: 2.201125383377075
train per: 0.5914113862078613
train loss: 2.1766231060028076
train per: 0.5831903945111492
train loss: 2.1777641773223877
train per: 0.5829679756004575
train loss: 2.1564583778381348
train per: 0.5799353056454088
train loss: 2.1814937591552734
train per: 0.5847522662957456
train loss: 2.1825623512268066
train per: 0.5872032512266442
train loss: 2.2376506328582764
train per: 0.5899506403111707
train loss: 2.163778305053711
train per: 0.5858192341941229
train loss: 2.1723008155822754
train per: 0.5844672226381968
train loss: 2.177250862121582
train per: 0.5859240270333256
train loss: 2.1819331645965576
train per: 0.5853028897967367
train loss: 2.212071180343628
train per: 0.5890894819466248
train loss: 2.1806082725524902
train per: 0.5908840236033751
train loss: 2.220089912414551
train per: 0.5951917149549993
train loss: 2.17628812789917
train per: 0.5857027769879632
train loss: 2.1851930618286133
train per: 0.5846680101824353
train loss: 2.172111749649048
train per: 0.5829227421654203
train loss: 2.150226354598999
train per: 0.5817878983741859
train loss: 2.198178768157959
train per: 0.5908757017681935
train loss: 2.166177272796631
train per: 0.5878441530696717
train loss: 2.2303900718688965
train per: 0.5864308667016113
train loss: 2.1680424213409424
train per: 0.5839329157823904
train loss: 2.2133891582489014
train per: 0.5885764279465067
train loss: 2.2007040977478027
train per: 0.5912274128937434
train loss: 2.2352819442749023
train per: 0.59309142766598
train loss: 2.1845178604125977
train per: 0.5877912701017394
train loss: 2.2288806438446045
train per: 0.6001331492257619
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 309/2703 [00:00<00:00, 3085.74it/s]


word -> phonemes:  23%|██▎       | 618/2703 [00:00<00:00, 3082.19it/s]


word -> phonemes:  35%|███▍      | 934/2703 [00:00<00:00, 3115.86it/s]


word -> phonemes:  46%|████▌     | 1249/2703 [00:00<00:00, 3128.16it/s]


word -> phonemes:  58%|█████▊    | 1562/2703 [00:00<00:00, 3087.51it/s]


word -> phonemes:  69%|██████▉   | 1871/2703 [00:00<00:00, 2738.46it/s]


word -> phonemes:  81%|████████  | 2181/2703 [00:00<00:00, 2846.18it/s]


word -> phonemes:  92%|█████████▏| 2489/2703 [00:00<00:00, 2914.47it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2955.95it/s]



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train: 100%|██████████| 3515/3515 [17:45<00:00,  5.04it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [17:45<00:00,  3.30it/s]
dev loss: 2.4560625553131104
dev per: 0.6261446409989594
train loss: 2.145907163619995
train per: 0.5815746651646013
train loss: 2.19235897064209
train per: 0.5888870694831068
train loss: 2.1561856269836426
train per: 0.5827978971962616
train loss: 2.1583666801452637
train per: 0.5811784868188921
train loss: 2.1864070892333984
train per: 0.5832840201671124
train loss: 2.1844446659088135
train per: 0.5859652686097289
train loss: 2.1519739627838135
train per: 0.5810456857905606
train loss: 2.2079105377197266
train per: 0.5855046708772604
train loss: 2.2231268882751465
train per: 0.5914647810173543
train loss: 2.1738171577453613
train per: 0.5855879416100043
train loss: 2.201483964920044
train per: 0.5880526474871541
train loss: 2.2259178161621094
train per: 0.5914112741749311
train loss: 2.139435291290283
train per: 0.5817838721851806
train loss: 2.1678664684295654
train per: 0.5825997618324888
train loss: 2.1918892860412598
train per: 0.5902757334903346
train loss: 2.2094454765319824
train per: 0.5877458913633151
train loss: 2.2235472202301025
train per: 0.5867426322533407
train loss: 2.188703775405884
train per: 0.5872080846161902
train loss: 2.2124719619750977
train per: 0.5931832560101223
train loss: 2.1999945640563965
train per: 0.5904472096940716
train loss: 2.1991147994995117
train per: 0.594260716447477
train loss: 2.2138803005218506
train per: 0.5875411706735133
train loss: 2.2142577171325684
train per: 0.5879993314390773
train loss: 2.2087438106536865
train per: 0.5931561757719715
train loss: 2.2096238136291504
train per: 0.5855830321925412
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 263/3515 [00:00<00:01, 2623.12it/s]

word -> phonemes:  15%|█▍        | 526/3515 [00:00<00:01, 2616.67it/s]

word -> phonemes:  23%|██▎       | 795/3515 [00:00<00:01, 2648.17it/s]

word -> phonemes:  30%|███       | 1060/3515 [00:00<00:00, 2544.26it/s]

word -> phonemes:  38%|███▊      | 1336/3515 [00:00<00:00, 2619.25it/s]

word -> phonemes:  46%|████▌     | 1611/3515 [00:00<00:00, 2662.29it/s]

word -> phonemes:  53%|█████▎    | 1880/3515 [00:00<00:00, 2668.75it/s]

word -> phonemes:  62%|██████▏   | 2165/3515 [00:00<00:00, 2723.32it/s]

word -> phonemes:  69%|██████▉   | 2438/3515 [00:00<00:00, 2669.65it/s]

word -> phonemes:  77%|███████▋  | 2706/3515 [00:01<00:00, 2578.64it/s]

word -> phonemes:  84%|████████▍ | 2965/3515 [00:01<00:00, 2446.18it/s]

word -> phonemes:  92%|█████████▏| 3230/3515 [00:01<00:00, 2503.32it/s]

word -> phonemes:  99%|█████████▉| 3495/3515 [00:01<00:00, 2545.01it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2589.32it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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train:   0%|          | 1/3515 [00:01<1:33:23,  1.59s/it]
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train:   0%|          | 2/3515 [00:01<42:21,  1.38it/s]  
overall:  88%|████████▊ | 3518/4000 [17:53<06:13,  1.29it/s]

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overall:  88%|████████▊ | 3525/4000 [17:55<01:58,  3.99it/s]

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overall:  88%|████████▊ | 3527/4000 [17:55<01:38,  4.80it/s]

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overall:  88%|████████▊ | 3528/4000 [17:55<01:43,  4.56it/s]

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overall:  88%|████████▊ | 3529/4000 [17:55<01:42,  4.58it/s]

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overall:  88%|████████▊ | 3530/4000 [17:56<01:37,  4.82it/s]

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overall:  88%|████████▊ | 3531/4000 [17:56<01:36,  4.88it/s]

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overall:  88%|████████▊ | 3533/4000 [17:56<01:32,  5.05it/s]

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overall:  88%|████████▊ | 3534/4000 [17:56<01:35,  4.87it/s]

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overall:  88%|████████▊ | 3535/4000 [17:57<01:42,  4.55it/s]

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overall:  88%|████████▊ | 3536/4000 [17:57<01:46,  4.36it/s]

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overall:  88%|████████▊ | 3537/4000 [17:57<01:28,  5.21it/s]

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overall:  88%|████████▊ | 3538/4000 [17:57<01:30,  5.09it/s]

train:   1%|          | 23/3515 [00:05<11:24,  5.11it/s]
overall:  88%|████████▊ | 3539/4000 [17:57<01:33,  4.95it/s]

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overall:  88%|████████▊ | 3540/4000 [17:58<01:55,  3.99it/s]

train:   1%|          | 25/3515 [00:06<14:34,  3.99it/s]
overall:  89%|████████▊ | 3541/4000 [17:58<01:51,  4.13it/s]

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overall:  89%|████████▊ | 3542/4000 [17:58<01:46,  4.31it/s]

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overall:  89%|████████▊ | 3543/4000 [17:58<01:28,  5.17it/s]

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overall:  89%|████████▊ | 3544/4000 [17:59<01:30,  5.02it/s]

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overall:  89%|████████▊ | 3546/4000 [17:59<01:21,  5.59it/s]

train:   1%|          | 31/3515 [00:07<10:23,  5.59it/s]
overall:  89%|████████▊ | 3547/4000 [17:59<01:28,  5.11it/s]

train:   1%|          | 32/3515 [00:07<11:21,  5.11it/s]
overall:  89%|████████▊ | 3548/4000 [17:59<01:34,  4.78it/s]

train:   1%|          | 33/3515 [00:07<12:07,  4.79it/s]
overall:  89%|████████▊ | 3549/4000 [18:00<01:34,  4.77it/s]

train:   1%|          | 34/3515 [00:08<12:10,  4.77it/s]
overall:  89%|████████▉ | 3550/4000 [18:00<01:31,  4.91it/s]

train:   1%|          | 35/3515 [00:08<11:48,  4.91it/s]
overall:  89%|████████▉ | 3551/4000 [18:00<01:33,  4.80it/s]

train:   1%|          | 36/3515 [00:08<12:05,  4.80it/s]
overall:  89%|████████▉ | 3552/4000 [18:00<01:52,  4.00it/s]

train:   1%|          | 37/3515 [00:08<14:29,  4.00it/s]
overall:  89%|████████▉ | 3553/4000 [18:01<01:47,  4.16it/s]

train:   1%|          | 38/3515 [00:09<13:55,  4.16it/s]
overall:  89%|████████▉ | 3554/4000 [18:01<01:44,  4.27it/s]

train:   1%|          | 39/3515 [00:09<13:33,  4.27it/s]
overall:  89%|████████▉ | 3556/4000 [18:01<01:27,  5.06it/s]

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overall:  89%|████████▉ | 3557/4000 [18:01<01:28,  5.00it/s]

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overall:  90%|████████▉ | 3589/4000 [18:08<01:32,  4.44it/s]

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overall:  90%|████████▉ | 3590/4000 [18:08<01:31,  4.50it/s]

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overall:  90%|████████▉ | 3591/4000 [18:08<01:26,  4.73it/s]

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overall:  90%|████████▉ | 3592/4000 [18:09<01:21,  4.98it/s]

train:   2%|▏         | 77/3515 [00:17<11:30,  4.98it/s]
overall:  90%|████████▉ | 3593/4000 [18:09<01:23,  4.85it/s]

train:   2%|▏         | 78/3515 [00:17<11:48,  4.85it/s]
overall:  90%|████████▉ | 3594/4000 [18:09<01:22,  4.91it/s]

train:   2%|▏         | 79/3515 [00:17<11:39,  4.91it/s]
overall:  90%|████████▉ | 3595/4000 [18:09<01:19,  5.10it/s]

train:   2%|▏         | 80/3515 [00:17<11:13,  5.10it/s]
overall:  90%|████████▉ | 3596/4000 [18:09<01:21,  4.95it/s]

train:   2%|▏         | 81/3515 [00:18<11:34,  4.95it/s]
overall:  90%|████████▉ | 3597/4000 [18:10<01:27,  4.62it/s]

train:   2%|▏         | 82/3515 [00:18<12:23,  4.62it/s]
overall:  90%|████████▉ | 3598/4000 [18:10<01:24,  4.75it/s]

train:   2%|▏         | 83/3515 [00:18<12:02,  4.75it/s]
overall:  90%|████████▉ | 3599/4000 [18:10<01:19,  5.02it/s]

train:   2%|▏         | 84/3515 [00:18<11:22,  5.02it/s]
overall:  90%|█████████ | 3600/4000 [18:10<01:42,  3.92it/s]

train:   2%|▏         | 85/3515 [00:19<14:34,  3.92it/s]
overall:  90%|█████████ | 3601/4000 [18:11<01:36,  4.14it/s]

train:   2%|▏         | 86/3515 [00:19<13:48,  4.14it/s]
overall:  90%|█████████ | 3602/4000 [18:11<01:30,  4.39it/s]

train:   2%|▏         | 87/3515 [00:19<13:00,  4.39it/s]
overall:  90%|█████████ | 3603/4000 [18:11<01:29,  4.44it/s]

train:   3%|▎         | 88/3515 [00:19<12:52,  4.44it/s]
overall:  90%|█████████ | 3604/4000 [18:11<01:27,  4.52it/s]

train:   3%|▎         | 89/3515 [00:19<12:37,  4.52it/s]
overall:  90%|█████████ | 3606/4000 [18:12<01:08,  5.76it/s]

train:   3%|▎         | 91/3515 [00:20<09:54,  5.76it/s]
overall:  90%|█████████ | 3607/4000 [18:12<01:13,  5.34it/s]

train:   3%|▎         | 92/3515 [00:20<10:41,  5.34it/s]
overall:  90%|█████████ | 3608/4000 [18:12<01:13,  5.31it/s]

train:   3%|▎         | 93/3515 [00:20<10:44,  5.31it/s]
overall:  90%|█████████ | 3609/4000 [18:12<01:14,  5.22it/s]

train:   3%|▎         | 94/3515 [00:20<10:55,  5.22it/s]
overall:  90%|█████████ | 3610/4000 [18:12<01:16,  5.08it/s]

train:   3%|▎         | 95/3515 [00:20<11:13,  5.08it/s]
overall:  90%|█████████ | 3611/4000 [18:13<01:18,  4.98it/s]

train:   3%|▎         | 96/3515 [00:21<11:26,  4.98it/s]
overall:  90%|█████████ | 3612/4000 [18:13<01:35,  4.07it/s]

train:   3%|▎         | 97/3515 [00:21<14:00,  4.07it/s]
overall:  90%|█████████ | 3613/4000 [18:13<01:29,  4.32it/s]

train:   3%|▎         | 98/3515 [00:21<13:11,  4.32it/s]
overall:  90%|█████████ | 3614/4000 [18:13<01:26,  4.47it/s]

train:   3%|▎         | 99/3515 [00:21<12:43,  4.47it/s]
overall:  90%|█████████ | 3615/4000 [18:14<01:25,  4.52it/s]

train:   3%|▎         | 100/3515 [00:22<12:35,  4.52it/s]
overall:  90%|█████████ | 3616/4000 [18:14<01:25,  4.48it/s]

train:   3%|▎         | 101/3515 [00:22<12:42,  4.48it/s]
overall:  90%|█████████ | 3617/4000 [18:14<01:23,  4.59it/s]

train:   3%|▎         | 102/3515 [00:22<12:23,  4.59it/s]
overall:  90%|█████████ | 3618/4000 [18:14<01:23,  4.58it/s]

train:   3%|▎         | 103/3515 [00:22<12:25,  4.58it/s]
overall:  90%|█████████ | 3619/4000 [18:14<01:24,  4.48it/s]

train:   3%|▎         | 104/3515 [00:23<12:40,  4.48it/s]
overall:  90%|█████████ | 3620/4000 [18:15<01:28,  4.28it/s]

train:   3%|▎         | 105/3515 [00:23<13:17,  4.28it/s]
overall:  91%|█████████ | 3621/4000 [18:15<01:26,  4.37it/s]

train:   3%|▎         | 106/3515 [00:23<13:00,  4.37it/s]
overall:  91%|█████████ | 3622/4000 [18:15<01:24,  4.47it/s]

train:   3%|▎         | 107/3515 [00:23<12:42,  4.47it/s]
overall:  91%|█████████ | 3623/4000 [18:15<01:22,  4.58it/s]

train:   3%|▎         | 108/3515 [00:23<12:24,  4.58it/s]
overall:  91%|█████████ | 3624/4000 [18:16<01:38,  3.81it/s]

train:   3%|▎         | 109/3515 [00:24<14:54,  3.81it/s]
overall:  91%|█████████ | 3625/4000 [18:16<01:32,  4.05it/s]

train:   3%|▎         | 110/3515 [00:24<14:00,  4.05it/s]
overall:  91%|█████████ | 3626/4000 [18:16<01:25,  4.38it/s]

train:   3%|▎         | 111/3515 [00:24<12:56,  4.38it/s]
overall:  91%|█████████ | 3627/4000 [18:16<01:23,  4.44it/s]

train:   3%|▎         | 112/3515 [00:24<12:45,  4.44it/s]
overall:  91%|█████████ | 3629/4000 [18:17<01:10,  5.28it/s]

train:   3%|▎         | 114/3515 [00:25<10:43,  5.28it/s]
overall:  91%|█████████ | 3630/4000 [18:17<01:11,  5.15it/s]

train:   3%|▎         | 115/3515 [00:25<11:00,  5.15it/s]
overall:  91%|█████████ | 3631/4000 [18:17<01:12,  5.12it/s]

train:   3%|▎         | 116/3515 [00:25<11:03,  5.12it/s]
overall:  91%|█████████ | 3632/4000 [18:17<01:16,  4.82it/s]

train:   3%|▎         | 117/3515 [00:25<11:44,  4.82it/s]
overall:  91%|█████████ | 3633/4000 [18:17<01:16,  4.79it/s]

train:   3%|▎         | 118/3515 [00:26<11:49,  4.79it/s]
overall:  91%|█████████ | 3634/4000 [18:18<01:16,  4.77it/s]

train:   3%|▎         | 119/3515 [00:26<11:52,  4.77it/s]
overall:  91%|█████████ | 3635/4000 [18:18<01:16,  4.79it/s]

train:   3%|▎         | 120/3515 [00:26<11:48,  4.79it/s]
overall:  91%|█████████ | 3636/4000 [18:18<01:31,  3.96it/s]

train:   3%|▎         | 121/3515 [00:26<14:17,  3.96it/s]
overall:  91%|█████████ | 3637/4000 [18:18<01:28,  4.10it/s]

train:   3%|▎         | 122/3515 [00:27<13:47,  4.10it/s]
overall:  91%|█████████ | 3638/4000 [18:19<01:23,  4.32it/s]

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overall:  91%|█████████ | 3639/4000 [18:19<01:21,  4.41it/s]

train:   4%|▎         | 124/3515 [00:27<12:49,  4.41it/s]
overall:  91%|█████████ | 3640/4000 [18:19<01:21,  4.44it/s]

train:   4%|▎         | 125/3515 [00:27<12:43,  4.44it/s]
overall:  91%|█████████ | 3641/4000 [18:19<01:19,  4.49it/s]

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overall:  91%|█████████ | 3642/4000 [18:20<01:18,  4.56it/s]

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overall:  91%|█████████ | 3643/4000 [18:20<01:19,  4.47it/s]

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overall:  91%|█████████ | 3644/4000 [18:20<01:20,  4.42it/s]

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overall:  91%|█████████ | 3645/4000 [18:20<01:19,  4.46it/s]

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overall:  91%|█████████ | 3646/4000 [18:20<01:18,  4.50it/s]

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overall:  91%|█████████ | 3647/4000 [18:21<01:10,  5.00it/s]

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overall:  91%|█████████ | 3648/4000 [18:21<01:18,  4.51it/s]

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overall:  91%|█████████ | 3649/4000 [18:21<01:15,  4.62it/s]

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overall:  91%|█████████▏| 3650/4000 [18:21<01:10,  4.98it/s]

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overall:  91%|█████████▏| 3651/4000 [18:21<01:03,  5.50it/s]

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overall:  91%|█████████▏| 3652/4000 [18:22<01:06,  5.26it/s]

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overall:  91%|█████████▏| 3653/4000 [18:22<01:10,  4.95it/s]

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overall:  91%|█████████▏| 3655/4000 [18:22<01:01,  5.64it/s]

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overall:  91%|█████████▏| 3656/4000 [18:22<01:08,  5.02it/s]

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overall:  91%|█████████▏| 3657/4000 [18:23<01:10,  4.87it/s]

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overall:  91%|█████████▏| 3658/4000 [18:23<01:10,  4.87it/s]

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overall:  91%|█████████▏| 3659/4000 [18:23<01:09,  4.87it/s]

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overall:  92%|█████████▏| 3660/4000 [18:23<01:25,  3.98it/s]

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overall:  92%|█████████▏| 3661/4000 [18:24<01:20,  4.22it/s]

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overall:  92%|█████████▏| 3662/4000 [18:24<01:17,  4.36it/s]

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overall:  92%|█████████▏| 3664/4000 [18:24<01:04,  5.19it/s]

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overall:  92%|█████████▏| 3665/4000 [18:24<01:06,  5.06it/s]

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overall:  92%|█████████▏| 3666/4000 [18:24<01:07,  4.96it/s]

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overall:  92%|█████████▏| 3668/4000 [18:25<00:50,  6.53it/s]

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overall:  92%|█████████▏| 3669/4000 [18:25<00:54,  6.05it/s]

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overall:  92%|█████████▏| 3670/4000 [18:25<00:59,  5.59it/s]

train:   4%|▍         | 155/3515 [00:33<10:00,  5.59it/s]
overall:  92%|█████████▏| 3671/4000 [18:25<01:01,  5.33it/s]

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overall:  92%|█████████▏| 3674/4000 [18:26<01:03,  5.12it/s]

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overall:  92%|█████████▏| 3675/4000 [18:26<01:05,  5.00it/s]

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train:   5%|▍         | 161/3515 [00:34<11:18,  4.95it/s]
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overall:  92%|█████████▏| 3678/4000 [18:27<01:06,  4.86it/s]

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overall:  92%|█████████▏| 3679/4000 [18:27<01:08,  4.69it/s]

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overall:  92%|█████████▏| 3680/4000 [18:27<01:11,  4.47it/s]

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overall: 100%|█████████▉| 3999/4000 [19:35<00:00,  5.05it/s]

train:  14%|█▍        | 484/3515 [01:43<10:00,  5.05it/s]train loss: 2.2085256576538086
train per: 0.5894520964148268
train loss: 2.18041729927063
train per: 0.5908971782999912
train loss: 2.1827235221862793
train per: 0.587022376091439
train loss: 2.225123882293701
train per: 0.5887706855791962
train loss: 2.203289747238159
train per: 0.5913989400816492
train loss: 2.1915886402130127
train per: 0.5878485660414806
train loss: 2.20822811126709
train per: 0.5844406196213425
train loss: 2.175295352935791
train per: 0.5860176629741182
train loss: 2.1914637088775635
train per: 0.5995261870796821
train loss: 2.195756435394287
train per: 0.5904021890650007
train loss: 2.2036356925964355
train per: 0.5898857395695063
train loss: 2.230835199356079
train per: 0.5890004462293619
train loss: 2.157076120376587
train per: 0.5780970384373031
train loss: 2.1984825134277344
train per: 0.5888433527369548
train loss: 2.243635654449463
train per: 0.5965597922505335
train loss: 2.1849606037139893
train per: 0.5872496001218677
train loss: 2.156811475753784
train per: 0.5828776907541501
train loss: 2.1840367317199707
train per: 0.5853496220944051
train loss: 2.198549270629883
train per: 0.5896037894113584
train loss: 2.1675026416778564
train per: 0.5768898235775207
train loss: 2.185093879699707
train per: 0.5903032153032153
train loss: 2.196563959121704
train per: 0.5865872490624311
train loss: 2.199612855911255
train per: 0.5857582040466147
train loss: 2.1810011863708496
train per: 0.5848813460416261
train loss: 2.1745619773864746
train per: 0.5805468866101947
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 307/2703 [00:00<00:00, 3060.73it/s]


word -> phonemes:  23%|██▎       | 614/2703 [00:00<00:00, 3012.15it/s]


word -> phonemes:  34%|███▍      | 923/2703 [00:00<00:00, 3043.42it/s]


word -> phonemes:  45%|████▌     | 1228/2703 [00:00<00:00, 2853.91it/s]


word -> phonemes:  57%|█████▋    | 1535/2703 [00:00<00:00, 2926.73it/s]


word -> phonemes:  68%|██████▊   | 1846/2703 [00:00<00:00, 2986.63it/s]


word -> phonemes:  80%|███████▉  | 2151/2703 [00:00<00:00, 3004.07it/s]


word -> phonemes:  91%|█████████ | 2453/2703 [00:00<00:00, 2910.73it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2903.58it/s]



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


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overall: 100%|█████████▉| 3999/4000 [21:30<00:00,  5.05it/s]

train:  14%|█▍        | 484/3515 [03:38<10:00,  5.05it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:30<00:00,  5.05it/s]

train:  14%|█▍        | 484/3515 [03:38<10:00,  5.05it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:30<00:00,  5.05it/s]

train:  14%|█▍        | 484/3515 [03:38<10:00,  5.05it/s]
overall: 100%|██████████| 4000/4000 [21:30<00:00, 31.39s/it]

train:  14%|█▍        | 485/3515 [03:38<26:25:21, 31.39s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:39<22:49,  2.21it/s]   

overall: 100%|██████████| 4000/4000 [21:31<00:00,  3.10it/s]
dev loss: 2.4703469276428223
dev per: 0.6258688865764829
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
2. result/downstream/grid/states-4000.ckpt