/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-10-13 22:54:05 | 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_25hz {'model_config': None, 'refresh': False}
Loading model from Local mert_test_25hz
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


overall:   0%|          | 0/4000 [00:00<?, ?it/s][LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 414/3515 [00:00<00:00, 4137.63it/s]

word -> phonemes:  24%|██▎       | 828/3515 [00:00<00:00, 4021.55it/s]

word -> phonemes:  36%|███▋      | 1276/3515 [00:00<00:00, 4225.53it/s]

word -> phonemes:  48%|████▊     | 1701/3515 [00:00<00:00, 4233.03it/s]

word -> phonemes:  61%|██████    | 2142/3515 [00:00<00:00, 4293.96it/s]

word -> phonemes:  73%|███████▎  | 2572/3515 [00:00<00:00, 4248.66it/s]

word -> phonemes:  85%|████████▌ | 2998/3515 [00:00<00:00, 4248.85it/s]

word -> phonemes:  97%|█████████▋| 3424/3515 [00:00<00:00, 4246.33it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4214.96it/s]


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train:   3%|▎         | 123/3515 [00:25<15:56,  3.54it/s]
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train:   4%|▎         | 124/3515 [00:25<14:46,  3.82it/s]
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train:   4%|▎         | 130/3515 [00:26<10:59,  5.13it/s]
overall:   3%|▎         | 131/4000 [00:29<12:32,  5.14it/s]

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overall:   3%|▎         | 132/4000 [00:29<11:56,  5.40it/s]

train:   4%|▍         | 132/3515 [00:27<10:26,  5.40it/s]
overall:   3%|▎         | 133/4000 [00:29<12:14,  5.27it/s]

train:   4%|▍         | 133/3515 [00:27<10:42,  5.27it/s]
overall:   3%|▎         | 134/4000 [00:29<12:25,  5.19it/s]

train:   4%|▍         | 134/3515 [00:27<10:51,  5.19it/s]
overall:   3%|▎         | 135/4000 [00:29<12:10,  5.29it/s]

train:   4%|▍         | 135/3515 [00:27<10:39,  5.29it/s]
overall:   3%|▎         | 136/4000 [00:30<12:07,  5.31it/s]

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overall:   3%|▎         | 137/4000 [00:30<12:14,  5.26it/s]

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overall:   4%|▎         | 141/4000 [00:30<10:30,  6.12it/s]

train:   4%|▍         | 141/3515 [00:28<09:11,  6.12it/s]
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train:   4%|▍         | 142/3515 [00:29<09:50,  5.71it/s]
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train:   4%|▍         | 143/3515 [00:29<10:20,  5.44it/s]
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train:   4%|▍         | 144/3515 [00:29<10:40,  5.26it/s]
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train:   4%|▍         | 146/3515 [00:30<13:13,  4.25it/s]
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train:   4%|▍         | 147/3515 [00:30<12:11,  4.61it/s]
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train:   4%|▍         | 151/3515 [00:30<09:53,  5.67it/s]
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train:   4%|▍         | 152/3515 [00:31<09:57,  5.63it/s]
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train:   4%|▍         | 153/3515 [00:31<10:15,  5.46it/s]
overall:   4%|▍         | 154/4000 [00:33<11:53,  5.39it/s]

train:   4%|▍         | 154/3515 [00:31<10:23,  5.39it/s]
overall:   4%|▍         | 155/4000 [00:33<12:04,  5.31it/s]

train:   4%|▍         | 155/3515 [00:31<10:32,  5.31it/s]
overall:   4%|▍         | 157/4000 [00:34<10:48,  5.93it/s]

train:   4%|▍         | 157/3515 [00:31<09:26,  5.93it/s]
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train:   4%|▍         | 158/3515 [00:32<09:48,  5.70it/s]
overall:   4%|▍         | 159/4000 [00:34<11:45,  5.44it/s]

train:   5%|▍         | 159/3515 [00:32<10:16,  5.44it/s]
overall:   4%|▍         | 160/4000 [00:34<12:04,  5.30it/s]

train:   5%|▍         | 160/3515 [00:32<10:32,  5.30it/s]
overall:   4%|▍         | 161/4000 [00:34<12:15,  5.22it/s]

train:   5%|▍         | 161/3515 [00:32<10:42,  5.22it/s]
overall:   4%|▍         | 162/4000 [00:35<12:20,  5.18it/s]

train:   5%|▍         | 162/3515 [00:32<10:46,  5.18it/s]
overall:   4%|▍         | 163/4000 [00:35<12:29,  5.12it/s]

train:   5%|▍         | 163/3515 [00:33<10:55,  5.12it/s]
overall:   4%|▍         | 164/4000 [00:35<12:47,  5.00it/s]

train:   5%|▍         | 164/3515 [00:33<11:10,  5.00it/s]
overall:   4%|▍         | 165/4000 [00:35<12:38,  5.06it/s]

train:   5%|▍         | 165/3515 [00:33<11:02,  5.06it/s]
overall:   4%|▍         | 166/4000 [00:35<12:32,  5.10it/s]

train:   5%|▍         | 166/3515 [00:33<10:56,  5.10it/s]
overall:   4%|▍         | 167/4000 [00:36<12:35,  5.07it/s]

train:   5%|▍         | 167/3515 [00:33<11:00,  5.07it/s]
overall:   4%|▍         | 168/4000 [00:36<12:38,  5.05it/s]

train:   5%|▍         | 168/3515 [00:34<11:02,  5.05it/s]
overall:   4%|▍         | 169/4000 [00:36<12:57,  4.93it/s]

train:   5%|▍         | 169/3515 [00:34<11:19,  4.93it/s]
overall:   4%|▍         | 170/4000 [00:36<19:50,  3.22it/s]

train:   5%|▍         | 170/3515 [00:34<17:19,  3.22it/s]
overall:   4%|▍         | 171/4000 [00:37<17:27,  3.65it/s]

train:   5%|▍         | 171/3515 [00:35<15:14,  3.65it/s]
overall:   4%|▍         | 173/4000 [00:37<12:17,  5.19it/s]

train:   5%|▍         | 173/3515 [00:35<10:44,  5.19it/s]
overall:   4%|▍         | 174/4000 [00:37<12:30,  5.10it/s]

train:   5%|▍         | 174/3515 [00:35<10:55,  5.10it/s]
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train:   5%|▍         | 175/3515 [00:35<11:00,  5.06it/s]
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train:   5%|▌         | 176/3515 [00:35<11:07,  5.00it/s]
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train:   5%|▌         | 177/3515 [00:36<11:20,  4.91it/s]
overall:   4%|▍         | 178/4000 [00:38<13:02,  4.88it/s]

train:   5%|▌         | 178/3515 [00:36<11:23,  4.88it/s]
overall:   4%|▍         | 179/4000 [00:38<12:56,  4.92it/s]

train:   5%|▌         | 179/3515 [00:36<11:17,  4.92it/s]
overall:   4%|▍         | 180/4000 [00:38<12:51,  4.95it/s]

train:   5%|▌         | 180/3515 [00:36<11:13,  4.95it/s]
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train:   5%|▌         | 181/3515 [00:36<11:12,  4.96it/s]
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train:   5%|▌         | 182/3515 [00:37<11:03,  5.02it/s]
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train:   5%|▌         | 183/3515 [00:37<11:17,  4.92it/s]
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train:   5%|▌         | 184/3515 [00:37<09:57,  5.58it/s]
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train:   5%|▌         | 185/3515 [00:37<10:11,  5.45it/s]
overall:   5%|▍         | 186/4000 [00:39<12:10,  5.22it/s]

train:   5%|▌         | 186/3515 [00:37<10:37,  5.22it/s]
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train:   5%|▌         | 187/3515 [00:38<10:39,  5.20it/s]
overall:   5%|▍         | 188/4000 [00:40<12:07,  5.24it/s]

train:   5%|▌         | 188/3515 [00:38<10:34,  5.24it/s]
overall:   5%|▍         | 189/4000 [00:40<12:28,  5.09it/s]

train:   5%|▌         | 189/3515 [00:38<10:53,  5.09it/s]
overall:   5%|▍         | 190/4000 [00:40<12:41,  5.00it/s]

train:   5%|▌         | 190/3515 [00:38<11:04,  5.00it/s]
overall:   5%|▍         | 191/4000 [00:40<12:38,  5.02it/s]

train:   5%|▌         | 191/3515 [00:38<11:01,  5.02it/s]
overall:   5%|▍         | 192/4000 [00:41<12:40,  5.00it/s]

train:   5%|▌         | 192/3515 [00:39<11:03,  5.00it/s]
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train:   5%|▌         | 193/3515 [00:39<11:05,  4.99it/s]
overall:   5%|▍         | 194/4000 [00:41<19:08,  3.31it/s]

train:   6%|▌         | 194/3515 [00:39<16:42,  3.31it/s]
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train:   6%|▌         | 195/3515 [00:39<14:34,  3.80it/s]
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train:   6%|▌         | 197/3515 [00:40<11:05,  4.99it/s]
overall:   5%|▍         | 198/4000 [00:42<12:47,  4.95it/s]

train:   6%|▌         | 198/3515 [00:40<11:09,  4.95it/s]
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train:   6%|▌         | 200/3515 [00:40<09:42,  5.69it/s]
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train:   6%|▌         | 201/3515 [00:40<10:04,  5.48it/s]
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train:   6%|▌         | 202/3515 [00:41<10:24,  5.31it/s]
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train:   6%|▌         | 207/3515 [00:41<09:34,  5.75it/s]
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train:   6%|▌         | 209/3515 [00:42<10:16,  5.36it/s]
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train:   6%|▋         | 224/3515 [00:45<11:09,  4.91it/s]
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train:   6%|▋         | 227/3515 [00:46<11:22,  4.82it/s]
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train:   7%|▋         | 229/3515 [00:46<11:13,  4.88it/s]
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overall:   7%|▋         | 285/4000 [01:00<12:13,  5.07it/s]

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overall:  13%|█▎        | 511/4000 [01:47<11:58,  4.86it/s]

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overall:  13%|█▎        | 512/4000 [01:47<11:53,  4.89it/s]

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overall:  13%|█▎        | 513/4000 [01:47<11:38,  4.99it/s]

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overall:  13%|█▎        | 514/4000 [01:47<11:41,  4.97it/s]

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overall:  13%|█▎        | 515/4000 [01:47<11:38,  4.99it/s]

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overall:  13%|█▎        | 516/4000 [01:48<11:42,  4.96it/s]

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overall:  13%|█▎        | 517/4000 [01:48<10:28,  5.54it/s]

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overall:  13%|█▎        | 518/4000 [01:48<11:00,  5.27it/s]

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overall:  13%|█▎        | 519/4000 [01:48<11:14,  5.16it/s]

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overall:  13%|█▎        | 520/4000 [01:48<11:47,  4.92it/s]

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overall:  13%|█▎        | 521/4000 [01:49<11:51,  4.89it/s]

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overall:  13%|█▎        | 522/4000 [01:49<11:57,  4.85it/s]

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overall:  13%|█▎        | 523/4000 [01:49<11:18,  5.12it/s]

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overall:  13%|█▎        | 524/4000 [01:49<11:24,  5.08it/s]

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overall:  13%|█▎        | 525/4000 [01:49<11:30,  5.03it/s]

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overall:  13%|█▎        | 526/4000 [01:50<11:52,  4.88it/s]

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overall:  13%|█▎        | 527/4000 [01:50<11:50,  4.89it/s]

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overall:  13%|█▎        | 528/4000 [01:50<11:37,  4.97it/s]

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overall:  13%|█▎        | 529/4000 [01:50<11:38,  4.97it/s]

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overall:  13%|█▎        | 530/4000 [01:51<17:48,  3.25it/s]

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overall:  13%|█▎        | 531/4000 [01:51<15:49,  3.65it/s]

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overall:  13%|█▎        | 532/4000 [01:51<14:39,  3.94it/s]

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overall:  13%|█▎        | 533/4000 [01:51<13:43,  4.21it/s]

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overall:  13%|█▎        | 534/4000 [01:51<11:45,  4.91it/s]

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overall:  13%|█▎        | 535/4000 [01:52<11:58,  4.83it/s]

train:  15%|█▌        | 535/3515 [01:50<10:17,  4.83it/s]
overall:  13%|█▎        | 536/4000 [01:52<11:13,  5.14it/s]

train:  15%|█▌        | 536/3515 [01:50<09:39,  5.14it/s]
overall:  13%|█▎        | 537/4000 [01:52<11:21,  5.08it/s]

train:  15%|█▌        | 537/3515 [01:50<09:46,  5.08it/s]
overall:  13%|█▎        | 538/4000 [01:52<09:59,  5.78it/s]

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overall:  13%|█▎        | 539/4000 [01:52<10:30,  5.49it/s]

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overall:  14%|█▎        | 540/4000 [01:53<10:55,  5.28it/s]

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overall:  14%|█▎        | 541/4000 [01:53<11:05,  5.19it/s]

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overall:  14%|█▎        | 542/4000 [01:53<11:40,  4.93it/s]

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overall:  14%|█▎        | 543/4000 [01:53<11:40,  4.93it/s]

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overall:  14%|█▎        | 544/4000 [01:53<11:53,  4.84it/s]

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overall:  14%|█▎        | 545/4000 [01:54<11:53,  4.84it/s]

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overall:  14%|█▎        | 546/4000 [01:54<11:56,  4.82it/s]

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overall:  14%|█▎        | 547/4000 [01:54<11:36,  4.96it/s]

train:  16%|█▌        | 547/3515 [01:52<09:58,  4.96it/s]
overall:  14%|█▎        | 548/4000 [01:54<11:39,  4.94it/s]

train:  16%|█▌        | 548/3515 [01:52<10:01,  4.94it/s]
overall:  14%|█▎        | 549/4000 [01:54<11:46,  4.89it/s]

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overall:  14%|█▍        | 550/4000 [01:55<11:31,  4.99it/s]

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overall:  14%|█▍        | 551/4000 [01:55<11:43,  4.90it/s]

train:  16%|█▌        | 551/3515 [01:53<10:04,  4.90it/s]
overall:  14%|█▍        | 552/4000 [01:55<11:45,  4.89it/s]

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overall:  14%|█▍        | 553/4000 [01:55<11:45,  4.89it/s]

train:  16%|█▌        | 553/3515 [01:53<10:05,  4.89it/s]
overall:  14%|█▍        | 554/4000 [01:56<17:40,  3.25it/s]

train:  16%|█▌        | 554/3515 [01:54<15:11,  3.25it/s]
overall:  14%|█▍        | 555/4000 [01:56<15:57,  3.60it/s]

train:  16%|█▌        | 555/3515 [01:54<13:43,  3.60it/s]
overall:  14%|█▍        | 556/4000 [01:56<14:41,  3.91it/s]

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overall:  14%|█▍        | 557/4000 [01:56<13:00,  4.41it/s]

train:  16%|█▌        | 557/3515 [01:54<11:10,  4.41it/s]
overall:  14%|█▍        | 558/4000 [01:57<12:33,  4.57it/s]

train:  16%|█▌        | 558/3515 [01:54<10:47,  4.57it/s]
overall:  14%|█▍        | 559/4000 [01:57<11:56,  4.81it/s]

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overall:  14%|█▍        | 560/4000 [01:57<11:58,  4.79it/s]

train:  16%|█▌        | 560/3515 [01:55<10:17,  4.79it/s]
overall:  14%|█▍        | 561/4000 [01:57<11:52,  4.83it/s]

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overall:  14%|█▍        | 562/4000 [01:57<11:41,  4.90it/s]

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overall:  14%|█▍        | 563/4000 [01:58<11:44,  4.88it/s]

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overall:  14%|█▍        | 564/4000 [01:58<11:37,  4.92it/s]

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overall:  14%|█▍        | 565/4000 [01:58<11:39,  4.91it/s]

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overall:  14%|█▍        | 566/4000 [01:58<11:42,  4.89it/s]

train:  16%|█▌        | 566/3515 [01:56<10:03,  4.89it/s]
overall:  14%|█▍        | 567/4000 [01:58<10:20,  5.53it/s]

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overall:  14%|█▍        | 568/4000 [01:58<10:51,  5.27it/s]

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overall:  14%|█▍        | 569/4000 [01:59<11:07,  5.14it/s]

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overall:  14%|█▍        | 571/4000 [01:59<08:40,  6.58it/s]

train:  16%|█▌        | 571/3515 [01:57<07:27,  6.58it/s]
overall:  14%|█▍        | 572/4000 [01:59<09:27,  6.04it/s]

train:  16%|█▋        | 572/3515 [01:57<08:07,  6.04it/s]
overall:  14%|█▍        | 573/4000 [01:59<09:49,  5.82it/s]

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overall:  14%|█▍        | 574/4000 [01:59<10:15,  5.57it/s]

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overall:  14%|█▍        | 575/4000 [02:00<09:34,  5.97it/s]

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overall:  14%|█▍        | 576/4000 [02:00<10:24,  5.48it/s]

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overall:  14%|█▍        | 577/4000 [02:00<09:13,  6.19it/s]

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overall:  14%|█▍        | 578/4000 [02:01<16:26,  3.47it/s]

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overall:  14%|█▍        | 579/4000 [02:01<15:05,  3.78it/s]

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overall:  14%|█▍        | 580/4000 [02:01<13:46,  4.14it/s]

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overall:  15%|█▍        | 581/4000 [02:01<13:01,  4.38it/s]

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overall:  15%|█▍        | 582/4000 [02:01<12:29,  4.56it/s]

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overall:  15%|█▍        | 583/4000 [02:02<12:17,  4.63it/s]

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overall:  15%|█▍        | 584/4000 [02:02<11:38,  4.89it/s]

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overall:  15%|█▍        | 585/4000 [02:02<11:28,  4.96it/s]

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overall:  15%|█▍        | 586/4000 [02:02<11:25,  4.98it/s]

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overall:  15%|█▍        | 587/4000 [02:02<11:31,  4.93it/s]

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overall:  15%|█▍        | 588/4000 [02:03<11:31,  4.94it/s]

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overall:  15%|█▍        | 589/4000 [02:03<11:32,  4.92it/s]

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overall:  15%|█▍        | 590/4000 [02:03<11:42,  4.86it/s]

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overall:  15%|█▍        | 591/4000 [02:03<11:50,  4.80it/s]

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overall:  15%|█▍        | 595/4000 [02:04<11:22,  4.99it/s]

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overall:  15%|█▍        | 596/4000 [02:04<11:19,  5.01it/s]

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overall:  15%|█▍        | 597/4000 [02:04<11:24,  4.97it/s]

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overall:  15%|█▍        | 598/4000 [02:05<11:10,  5.08it/s]

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overall:  15%|█▌        | 602/4000 [02:06<17:29,  3.24it/s]

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overall:  15%|█▌        | 603/4000 [02:06<15:01,  3.77it/s]

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overall:  15%|█▌        | 604/4000 [02:06<13:52,  4.08it/s]

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overall:  15%|█▌        | 605/4000 [02:06<13:17,  4.26it/s]

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overall:  15%|█▌        | 606/4000 [02:06<12:27,  4.54it/s]

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overall:  15%|█▌        | 607/4000 [02:07<12:12,  4.63it/s]

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overall:  15%|█▌        | 609/4000 [02:07<11:32,  4.90it/s]

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overall:  25%|██▍       | 986/4000 [03:25<15:23,  3.26it/s]

train:  28%|██▊       | 986/3515 [03:23<12:55,  3.26it/s]
overall:  25%|██▍       | 987/4000 [03:25<13:32,  3.71it/s]

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overall:  25%|██▍       | 988/4000 [03:25<12:36,  3.98it/s]

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overall:  25%|██▍       | 991/4000 [03:26<10:48,  4.64it/s]

train:  28%|██▊       | 991/3515 [03:24<09:03,  4.64it/s]
overall:  25%|██▍       | 992/4000 [03:26<10:32,  4.75it/s]

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overall:  25%|██▍       | 993/4000 [03:26<10:26,  4.80it/s]

train:  28%|██▊       | 993/3515 [03:24<08:45,  4.80it/s]
overall:  25%|██▍       | 994/4000 [03:26<10:14,  4.89it/s]

train:  28%|██▊       | 994/3515 [03:24<08:35,  4.89it/s]
overall:  25%|██▍       | 995/4000 [03:26<10:18,  4.86it/s]

train:  28%|██▊       | 995/3515 [03:24<08:38,  4.86it/s]
overall:  25%|██▍       | 996/4000 [03:27<09:42,  5.15it/s]

train:  28%|██▊       | 996/3515 [03:25<08:08,  5.15it/s]
overall:  25%|██▍       | 997/4000 [03:27<09:54,  5.05it/s]

train:  28%|██▊       | 997/3515 [03:25<08:18,  5.05it/s]
overall:  25%|██▍       | 998/4000 [03:27<10:00,  5.00it/s]

train:  28%|██▊       | 998/3515 [03:25<08:23,  5.00it/s]
overall:  25%|██▍       | 999/4000 [03:27<09:48,  5.10it/s]

train:  28%|██▊       | 999/3515 [03:25<08:13,  5.10it/s]train loss: 4.269550323486328
train per: 0.9261471699124052
train loss: 3.572188138961792
train per: 0.8314109613564871
train loss: 3.2398929595947266
train per: 0.7972120551358929
train loss: 3.1139934062957764
train per: 0.7764903613537396
train loss: 3.0518784523010254
train per: 0.7710219622045782
train loss: 2.9923431873321533
train per: 0.7628932508738908
train loss: 2.9453892707824707
train per: 0.7574641428432042
train loss: 2.9733738899230957
train per: 0.7525247156372914
train loss: 2.8918519020080566
train per: 0.7442946815240135
train loss: 2.882740020751953
train per: 0.7468347492463688
train loss: 2.8872385025024414
train per: 0.7508754377188595
train loss: 2.900928020477295
train per: 0.7444752749975225
train loss: 2.924891233444214
train per: 0.7476336237344008
train loss: 2.878275156021118
train per: 0.7416407247318089
train loss: 2.835808038711548
train per: 0.7384568293659203
train loss: 2.849966287612915
train per: 0.7379944160074453
train loss: 2.8324429988861084
train per: 0.7383465932272542
train loss: 2.8521716594696045
train per: 0.7412399675606142
train loss: 2.835106372833252
train per: 0.7367855667263462
train loss: 2.813117504119873
train per: 0.7332208851518051
train loss: 2.7996315956115723
train per: 0.7312880712224715
train loss: 2.826659917831421
train per: 0.7350008789773727
train loss: 2.8205931186676025
train per: 0.7257894505687558
train loss: 2.8121042251586914
train per: 0.7278491653656779
train loss: 2.793203592300415
train per: 0.7252663961835124
train loss: 2.7777554988861084
train per: 0.7241316978695933
train loss: 2.8193466663360596
train per: 0.7324773264984227
train loss: 2.783501148223877
train per: 0.7259244070808557
train loss: 2.7828078269958496
train per: 0.7252954093903586
train loss: 2.794588088989258
train per: 0.7283686425565304
train loss: 2.811119318008423
train per: 0.7280783918149722
train loss: 2.7773373126983643
train per: 0.7287022975554793
train loss: 2.809976577758789
train per: 0.725822126793988
train loss: 2.7992615699768066
train per: 0.7269372693726938
train loss: 2.793325901031494
train per: 0.7290792127787167
train loss: 2.7862038612365723
train per: 0.730416228224015
train loss: 2.8115639686584473
train per: 0.7247396566282015
train loss: 2.8053107261657715
train per: 0.7260062665702579
train loss: 2.7840232849121094
train per: 0.724283678183516
train loss: 2.835052967071533
train per: 0.730723412207143
train loss: 2.7665703296661377
train per: 0.7278527932221339
train loss: 2.779463291168213
train per: 0.726937571686056
train loss: 2.7777137756347656
train per: 0.722386144964721
train loss: 2.788607597351074
train per: 0.7235794952123493
train loss: 2.7742691040039062
train per: 0.7222656742777848
train loss: 2.771822690963745
train per: 0.7210791037951532
train loss: 2.775981903076172
train per: 0.7274043433298862
train loss: 2.777728319168091
train per: 0.7250884155395373
train loss: 2.768843173980713
train per: 0.7188089746278046
train loss: 2.744178533554077
train per: 0.718432690169726
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 483/2703 [00:00<00:00, 4823.70it/s]


word -> phonemes:  36%|███▌      | 966/2703 [00:00<00:00, 4783.70it/s]


word -> phonemes:  54%|█████▍    | 1471/2703 [00:00<00:00, 4900.78it/s]


word -> phonemes:  73%|███████▎  | 1962/2703 [00:00<00:00, 4541.32it/s]


word -> phonemes:  90%|█████████ | 2438/2703 [00:00<00:00, 4614.28it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4654.65it/s]



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overall:  47%|████▋     | 1883/4000 [08:19<07:25,  4.76it/s]

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overall:  47%|████▋     | 1889/4000 [08:20<07:21,  4.79it/s]

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overall:  47%|████▋     | 1890/4000 [08:21<06:57,  5.06it/s]

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overall:  47%|████▋     | 1891/4000 [08:21<07:09,  4.91it/s]

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overall:  47%|████▋     | 1892/4000 [08:21<07:12,  4.87it/s]

train:  54%|█████▍    | 1892/3515 [08:19<05:33,  4.87it/s]
overall:  47%|████▋     | 1893/4000 [08:21<07:16,  4.83it/s]

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overall:  47%|████▋     | 1894/4000 [08:22<10:22,  3.38it/s]

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overall:  47%|████▋     | 1895/4000 [08:22<09:06,  3.85it/s]

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overall:  47%|████▋     | 1898/4000 [08:23<08:12,  4.27it/s]

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overall:  48%|████▊     | 1901/4000 [08:23<07:31,  4.65it/s]

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overall:  48%|████▊     | 1902/4000 [08:23<06:38,  5.26it/s]

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overall:  48%|████▊     | 1903/4000 [08:23<06:54,  5.06it/s]

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overall:  48%|████▊     | 1904/4000 [08:24<06:58,  5.01it/s]

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overall:  48%|████▊     | 1905/4000 [08:24<06:04,  5.75it/s]

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overall:  48%|████▊     | 1907/4000 [08:24<05:56,  5.87it/s]

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overall:  48%|████▊     | 1908/4000 [08:24<06:13,  5.59it/s]

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overall:  48%|████▊     | 1909/4000 [08:25<06:28,  5.38it/s]

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overall:  48%|████▊     | 1910/4000 [08:25<06:49,  5.10it/s]

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overall:  48%|████▊     | 1911/4000 [08:25<06:02,  5.76it/s]

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overall:  48%|████▊     | 1913/4000 [08:25<05:40,  6.12it/s]

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overall:  48%|████▊     | 1914/4000 [08:25<05:50,  5.95it/s]

train:  54%|█████▍    | 1914/3515 [08:23<04:29,  5.95it/s]
overall:  48%|████▊     | 1915/4000 [08:26<06:18,  5.52it/s]

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overall:  48%|████▊     | 1916/4000 [08:26<05:56,  5.84it/s]

train:  55%|█████▍    | 1916/3515 [08:24<04:33,  5.84it/s]
overall:  48%|████▊     | 1917/4000 [08:26<06:22,  5.44it/s]

train:  55%|█████▍    | 1917/3515 [08:24<04:53,  5.44it/s]
overall:  48%|████▊     | 1918/4000 [08:26<09:41,  3.58it/s]

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overall:  48%|████▊     | 1919/4000 [08:27<09:03,  3.83it/s]

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overall:  48%|████▊     | 1920/4000 [08:27<08:31,  4.07it/s]

train:  55%|█████▍    | 1920/3515 [08:25<06:32,  4.07it/s]
overall:  48%|████▊     | 1921/4000 [08:27<08:12,  4.22it/s]

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overall:  48%|████▊     | 1922/4000 [08:27<08:45,  3.96it/s]

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overall:  48%|████▊     | 1923/4000 [08:28<08:08,  4.25it/s]

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overall:  48%|████▊     | 1924/4000 [08:28<07:51,  4.40it/s]

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overall:  48%|████▊     | 1925/4000 [08:28<07:12,  4.80it/s]

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overall:  48%|████▊     | 1926/4000 [08:28<07:08,  4.84it/s]

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overall:  48%|████▊     | 1927/4000 [08:28<07:04,  4.89it/s]

train:  55%|█████▍    | 1927/3515 [08:26<05:25,  4.89it/s]
overall:  48%|████▊     | 1929/4000 [08:29<06:05,  5.66it/s]

train:  55%|█████▍    | 1929/3515 [08:27<04:39,  5.66it/s]
overall:  48%|████▊     | 1930/4000 [08:29<06:25,  5.38it/s]

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overall:  48%|████▊     | 1931/4000 [08:29<06:39,  5.17it/s]

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overall:  48%|████▊     | 1932/4000 [08:29<06:51,  5.03it/s]

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overall:  48%|████▊     | 1933/4000 [08:29<06:56,  4.96it/s]

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overall:  48%|████▊     | 1934/4000 [08:30<07:04,  4.87it/s]

train:  55%|█████▌    | 1934/3515 [08:28<05:24,  4.87it/s]
overall:  48%|████▊     | 1935/4000 [08:30<07:10,  4.80it/s]

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overall:  48%|████▊     | 1937/4000 [08:30<06:10,  5.56it/s]

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overall:  48%|████▊     | 1938/4000 [08:30<06:19,  5.44it/s]

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overall:  48%|████▊     | 1939/4000 [08:31<06:37,  5.18it/s]

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overall:  48%|████▊     | 1940/4000 [08:31<06:41,  5.13it/s]

train:  55%|█████▌    | 1940/3515 [08:29<05:06,  5.13it/s]
overall:  49%|████▊     | 1941/4000 [08:31<06:33,  5.23it/s]

train:  55%|█████▌    | 1941/3515 [08:29<05:00,  5.23it/s]
overall:  49%|████▊     | 1942/4000 [08:32<09:54,  3.46it/s]

train:  55%|█████▌    | 1942/3515 [08:29<07:34,  3.46it/s]
overall:  49%|████▊     | 1943/4000 [08:32<09:08,  3.75it/s]

train:  55%|█████▌    | 1943/3515 [08:30<06:59,  3.75it/s]
overall:  49%|████▊     | 1945/4000 [08:32<07:22,  4.65it/s]

train:  55%|█████▌    | 1945/3515 [08:30<05:37,  4.65it/s]
overall:  49%|████▊     | 1946/4000 [08:32<07:55,  4.32it/s]

train:  55%|█████▌    | 1946/3515 [08:30<06:03,  4.32it/s]
overall:  49%|████▊     | 1948/4000 [08:33<06:39,  5.13it/s]

train:  55%|█████▌    | 1948/3515 [08:31<05:05,  5.13it/s]
overall:  49%|████▊     | 1949/4000 [08:33<06:46,  5.04it/s]

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overall:  49%|████▉     | 1950/4000 [08:33<07:00,  4.88it/s]

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overall:  49%|████▉     | 1951/4000 [08:33<07:01,  4.86it/s]

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overall:  49%|████▉     | 1952/4000 [08:33<07:03,  4.84it/s]

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overall:  49%|████▉     | 1953/4000 [08:34<07:07,  4.79it/s]

train:  56%|█████▌    | 1953/3515 [08:32<05:26,  4.79it/s]
overall:  49%|████▉     | 1954/4000 [08:34<07:12,  4.73it/s]

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overall:  49%|████▉     | 1955/4000 [08:34<07:02,  4.85it/s]

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overall:  49%|████▉     | 1956/4000 [08:34<06:52,  4.96it/s]

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overall:  49%|████▉     | 1957/4000 [08:35<06:57,  4.90it/s]

train:  56%|█████▌    | 1957/3515 [08:32<05:18,  4.90it/s]
overall:  49%|████▉     | 1958/4000 [08:35<06:58,  4.87it/s]

train:  56%|█████▌    | 1958/3515 [08:33<05:19,  4.87it/s]
overall:  49%|████▉     | 1959/4000 [08:35<06:57,  4.89it/s]

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overall:  49%|████▉     | 1960/4000 [08:35<07:04,  4.81it/s]

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overall:  49%|████▉     | 1961/4000 [08:35<07:04,  4.80it/s]

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overall:  49%|████▉     | 1962/4000 [08:36<07:10,  4.74it/s]

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overall:  49%|████▉     | 1963/4000 [08:36<07:17,  4.65it/s]

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overall:  49%|████▉     | 1964/4000 [08:36<07:06,  4.77it/s]

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overall:  49%|████▉     | 1965/4000 [08:36<07:12,  4.70it/s]

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overall:  49%|████▉     | 1966/4000 [08:37<10:03,  3.37it/s]

train:  56%|█████▌    | 1966/3515 [08:35<07:39,  3.37it/s]
overall:  49%|████▉     | 1967/4000 [08:37<08:52,  3.81it/s]

train:  56%|█████▌    | 1967/3515 [08:35<06:45,  3.81it/s]
overall:  49%|████▉     | 1968/4000 [08:37<07:59,  4.24it/s]

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overall:  49%|████▉     | 1969/4000 [08:37<07:46,  4.35it/s]

train:  56%|█████▌    | 1969/3515 [08:35<05:54,  4.36it/s]
overall:  49%|████▉     | 1970/4000 [08:38<08:27,  4.00it/s]

train:  56%|█████▌    | 1970/3515 [08:35<06:26,  4.00it/s]
overall:  49%|████▉     | 1971/4000 [08:38<08:04,  4.19it/s]

train:  56%|█████▌    | 1971/3515 [08:36<06:08,  4.19it/s]
overall:  49%|████▉     | 1972/4000 [08:38<07:40,  4.40it/s]

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overall:  49%|████▉     | 1973/4000 [08:38<07:29,  4.51it/s]

train:  56%|█████▌    | 1973/3515 [08:36<05:41,  4.51it/s]
overall:  49%|████▉     | 1974/4000 [08:38<07:24,  4.56it/s]

train:  56%|█████▌    | 1974/3515 [08:36<05:38,  4.56it/s]
overall:  49%|████▉     | 1975/4000 [08:39<07:21,  4.58it/s]

train:  56%|█████▌    | 1975/3515 [08:37<05:36,  4.58it/s]
overall:  49%|████▉     | 1976/4000 [08:39<07:10,  4.70it/s]

train:  56%|█████▌    | 1976/3515 [08:37<05:27,  4.70it/s]
overall:  49%|████▉     | 1977/4000 [08:39<07:11,  4.68it/s]

train:  56%|█████▌    | 1977/3515 [08:37<05:28,  4.68it/s]
overall:  49%|████▉     | 1978/4000 [08:39<07:01,  4.80it/s]

train:  56%|█████▋    | 1978/3515 [08:37<05:20,  4.80it/s]
overall:  49%|████▉     | 1979/4000 [08:39<06:39,  5.06it/s]

train:  56%|█████▋    | 1979/3515 [08:37<05:03,  5.06it/s]
overall:  50%|████▉     | 1980/4000 [08:40<06:51,  4.91it/s]

train:  56%|█████▋    | 1980/3515 [08:38<05:12,  4.91it/s]
overall:  50%|████▉     | 1981/4000 [08:40<06:15,  5.38it/s]

train:  56%|█████▋    | 1981/3515 [08:38<04:45,  5.38it/s]
overall:  50%|████▉     | 1982/4000 [08:40<06:16,  5.36it/s]

train:  56%|█████▋    | 1982/3515 [08:38<04:45,  5.36it/s]
overall:  50%|████▉     | 1984/4000 [08:40<05:42,  5.89it/s]

train:  56%|█████▋    | 1984/3515 [08:38<04:19,  5.89it/s]
overall:  50%|████▉     | 1985/4000 [08:40<06:02,  5.56it/s]

train:  56%|█████▋    | 1985/3515 [08:38<04:35,  5.56it/s]
overall:  50%|████▉     | 1986/4000 [08:41<05:21,  6.26it/s]

train:  57%|█████▋    | 1986/3515 [08:38<04:04,  6.26it/s]
overall:  50%|████▉     | 1987/4000 [08:41<05:44,  5.85it/s]

train:  57%|█████▋    | 1987/3515 [08:39<04:21,  5.85it/s]
overall:  50%|████▉     | 1988/4000 [08:41<06:10,  5.43it/s]

train:  57%|█████▋    | 1988/3515 [08:39<04:41,  5.43it/s]
overall:  50%|████▉     | 1989/4000 [08:41<06:27,  5.19it/s]

train:  57%|█████▋    | 1989/3515 [08:39<04:53,  5.19it/s]
overall:  50%|████▉     | 1990/4000 [08:42<09:42,  3.45it/s]

train:  57%|█████▋    | 1990/3515 [08:40<07:21,  3.45it/s]
overall:  50%|████▉     | 1991/4000 [08:42<08:56,  3.74it/s]

train:  57%|█████▋    | 1991/3515 [08:40<06:47,  3.74it/s]
overall:  50%|████▉     | 1992/4000 [08:42<07:29,  4.47it/s]

train:  57%|█████▋    | 1992/3515 [08:40<05:40,  4.47it/s]
overall:  50%|████▉     | 1993/4000 [08:42<07:20,  4.56it/s]

train:  57%|█████▋    | 1993/3515 [08:40<05:33,  4.56it/s]
overall:  50%|████▉     | 1994/4000 [08:43<07:46,  4.30it/s]

train:  57%|█████▋    | 1994/3515 [08:40<05:53,  4.30it/s]
overall:  50%|████▉     | 1995/4000 [08:43<07:36,  4.39it/s]

train:  57%|█████▋    | 1995/3515 [08:41<05:46,  4.39it/s]
overall:  50%|████▉     | 1996/4000 [08:43<07:22,  4.53it/s]

train:  57%|█████▋    | 1996/3515 [08:41<05:35,  4.53it/s]
overall:  50%|████▉     | 1997/4000 [08:43<07:20,  4.54it/s]

train:  57%|█████▋    | 1997/3515 [08:41<05:34,  4.54it/s]
overall:  50%|████▉     | 1998/4000 [08:43<07:10,  4.65it/s]

train:  57%|█████▋    | 1998/3515 [08:41<05:26,  4.65it/s]
overall:  50%|████▉     | 1999/4000 [08:44<07:02,  4.74it/s]

train:  57%|█████▋    | 1999/3515 [08:42<05:19,  4.74it/s]dev loss: 2.9584152698516846
dev per: 0.7504058272632674
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.758798122406006
train per: 0.7227625230504964
train loss: 2.764435291290283
train per: 0.7286926461345066
train loss: 2.795877456665039
train per: 0.725104869596936
train loss: 2.7546167373657227
train per: 0.7235910585874352
train loss: 2.792818069458008
train per: 0.72239907727797
train loss: 2.7687277793884277
train per: 0.7162263443882331
train loss: 2.762819766998291
train per: 0.7229334024358642
train loss: 2.759552478790283
train per: 0.7195207715878836
train loss: 2.7484548091888428
train per: 0.7171965111291169
train loss: 2.7494728565216064
train per: 0.7174899587919253
train loss: 2.7757163047790527
train per: 0.7212906797056992
train loss: 2.7452633380889893
train per: 0.7182261726486643
train loss: 2.7418975830078125
train per: 0.7166033915464439
train loss: 2.734431266784668
train per: 0.7203728362183754
train loss: 2.733064889907837
train per: 0.7166810800422793
train loss: 2.790224075317383
train per: 0.7246870890761213
train loss: 2.7672579288482666
train per: 0.7176202934819702
train loss: 2.7422871589660645
train per: 0.7226489400329581
train loss: 2.7716352939605713
train per: 0.722324507948033
train loss: 2.7516136169433594
train per: 0.7179753257235097
train loss: 2.725548267364502
train per: 0.7153161109884448
train loss: 2.739189863204956
train per: 0.7170106240078153
train loss: 2.729639768600464
train per: 0.7221560058270428
train loss: 2.7760868072509766
train per: 0.7177702831084932
train loss: 2.7889320850372314
train per: 0.7300600082602463
train loss: 2.7681403160095215
train per: 0.719434872501723
train loss: 2.7514872550964355
train per: 0.7191569845987571
train loss: 2.780336380004883
train per: 0.7228203004850349
train loss: 2.7644410133361816
train per: 0.7210960697668981
train loss: 2.7600483894348145
train per: 0.7167409450176052
train loss: 2.7514243125915527
train per: 0.7205335385404643
train loss: 2.7608611583709717
train per: 0.7249337321563192
train loss: 2.783200740814209
train per: 0.7205027675276753
train loss: 2.7787466049194336
train per: 0.7254906971989368
train loss: 2.7306253910064697
train per: 0.715671839926625
train loss: 2.7391555309295654
train per: 0.723658411510965
train loss: 2.8019042015075684
train per: 0.7331439796135061
train loss: 2.7692883014678955
train per: 0.7263319850112911
train loss: 2.755504608154297
train per: 0.7214266267356384
train loss: 2.78761887550354
train per: 0.7203965612867443
train loss: 2.763822555541992
train per: 0.7133255406195207
train loss: 2.7647178173065186
train per: 0.7191791390217559
train loss: 2.7294163703918457
train per: 0.7151712806213901
train loss: 2.7189443111419678
train per: 0.7120112857718662
train loss: 2.7362425327301025
train per: 0.7112148014021403
train loss: 2.733280658721924
train per: 0.7148250287825645
train loss: 2.738713264465332
train per: 0.7131005448241704
train loss: 2.754638671875
train per: 0.719788624669726
train loss: 2.7175440788269043
train per: 0.7131928888041561
train loss: 2.722973346710205
train per: 0.7102263100568801
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 602/2703 [00:00<00:00, 6012.45it/s]


word -> phonemes:  45%|████▍     | 1204/2703 [00:00<00:00, 5586.26it/s]


word -> phonemes:  68%|██████▊   | 1840/2703 [00:00<00:00, 5923.09it/s]


word -> phonemes:  90%|█████████ | 2435/2703 [00:00<00:00, 5683.56it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5717.26it/s]



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overall:  75%|███████▍  | 2999/4000 [14:08<03:56,  4.23it/s]

train:  85%|████████▌ | 2999/3515 [14:06<02:02,  4.23it/s]dev loss: 2.9515531063079834
dev per: 0.7527679500520291
train loss: 2.6901557445526123
train per: 0.7129048760130314
train loss: 2.7346529960632324
train per: 0.7241160920806257
train loss: 2.7332639694213867
train per: 0.716610713764414
train loss: 2.7593135833740234
train per: 0.7177236693091733
train loss: 2.734454393386841
train per: 0.7155258431450808
train loss: 2.7443244457244873
train per: 0.7181569950207659
train loss: 2.746516466140747
train per: 0.7145101902014588
train loss: 2.7511088848114014
train per: 0.7150298685782557
train loss: 2.693183183670044
train per: 0.7102175923672297
train loss: 2.7290732860565186
train per: 0.7128538437730638
train loss: 2.7438747882843018
train per: 0.7127393290005269
train loss: 2.750481128692627
train per: 0.7211911074852131
train loss: 2.770555019378662
train per: 0.7215301539777588
train loss: 2.7468085289001465
train per: 0.7132597355331797
train loss: 2.699439525604248
train per: 0.7181843971631205
train loss: 2.7296135425567627
train per: 0.7153919374340768
train loss: 2.760293483734131
train per: 0.720009215528165
train loss: 2.7217063903808594
train per: 0.7139313660307881
train loss: 2.7391977310180664
train per: 0.7151385420382923
train loss: 2.7347328662872314
train per: 0.7145251540702922
train loss: 2.7144548892974854
train per: 0.7122714430406738
train loss: 2.7832913398742676
train per: 0.7218842834913001
train loss: 2.7659754753112793
train per: 0.7208602831426116
train loss: 2.7495646476745605
train per: 0.7196577609922133
train loss: 2.7234418392181396
train per: 0.7143546312178388
train loss: 2.7210259437561035
train per: 0.709778879146016
train loss: 2.718733310699463
train per: 0.7123934550090902
train loss: 2.7060961723327637
train per: 0.7119765936016116
train loss: 2.719158887863159
train per: 0.7133617485255489
train loss: 2.749620199203491
train per: 0.7121670495644065
train loss: 2.7047550678253174
train per: 0.7131288958147818
train loss: 2.716273546218872
train per: 0.7125558338281996
train loss: 2.7393555641174316
train per: 0.7216033558611047
train loss: 2.7294790744781494
train per: 0.7131005789618787
train loss: 2.7486302852630615
train per: 0.7200156985871271
train loss: 2.7281744480133057
train per: 0.7150774830419677
train loss: 2.762902021408081
train per: 0.7230427814079645
train loss: 2.7123970985412598
train per: 0.7157852336271443
train loss: 2.7271485328674316
train per: 0.7144675434874841
train loss: 2.7108094692230225
train per: 0.7117775054398119
train loss: 2.704500198364258
train per: 0.7118281708347834
train loss: 2.7163424491882324
train per: 0.7133637651503227
train loss: 2.712446689605713
train per: 0.7156781584639624
train loss: 2.7429683208465576
train per: 0.7109323366530687
train loss: 2.712573528289795
train per: 0.7133133184947461
train loss: 2.726170063018799
train per: 0.7110361204849394
train loss: 2.7226462364196777
train per: 0.714055160091069
train loss: 2.742671489715576
train per: 0.7144215315661996
train loss: 2.731790065765381
train per: 0.7145742344298301
train loss: 2.7503597736358643
train per: 0.721964690797909
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 531/2703 [00:00<00:00, 5301.71it/s]


word -> phonemes:  40%|████      | 1087/2703 [00:00<00:00, 5452.02it/s]


word -> phonemes:  60%|██████    | 1633/2703 [00:00<00:00, 5408.93it/s]


word -> phonemes:  82%|████████▏ | 2214/2703 [00:00<00:00, 5563.00it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5423.37it/s]



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train: 100%|██████████| 3515/3515 [17:48<00:00,  5.16it/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 [17:48<00:00,  3.29it/s]
dev loss: 2.9354708194732666
dev per: 0.7416077003121748
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.698197603225708
train per: 0.7097509074978094
train loss: 2.7301876544952393
train per: 0.7142896130123901
train loss: 2.7023062705993652
train per: 0.7163648753894081
train loss: 2.6987228393554688
train per: 0.7049498462624124
train loss: 2.7271130084991455
train per: 0.707529528723933
train loss: 2.7187159061431885
train per: 0.7116380623540165
train loss: 2.7085494995117188
train per: 0.7122349267113283
train loss: 2.73661470413208
train per: 0.7126389856151389
train loss: 2.7555360794067383
train per: 0.7149864302965416
train loss: 2.709620714187622
train per: 0.7136845608863107
train loss: 2.7203011512756348
train per: 0.7165938504657489
train loss: 2.75565505027771
train per: 0.7180278438670468
train loss: 2.676907777786255
train per: 0.7094477292741226
train loss: 2.7010927200317383
train per: 0.7111168188292433
train loss: 2.720745086669922
train per: 0.7140368952997743
train loss: 2.7301931381225586
train per: 0.7105149187390304
train loss: 2.7461612224578857
train per: 0.7128180486911954
train loss: 2.7274556159973145
train per: 0.7179285789087863
train loss: 2.726952314376831
train per: 0.718209616195698
train loss: 2.7220075130462646
train per: 0.7117046133782535
train loss: 2.724544048309326
train per: 0.7168051504979915
train loss: 2.7409939765930176
train per: 0.7168495033584896
train loss: 2.7440996170043945
train per: 0.7169838351519783
train loss: 2.751077175140381
train per: 0.7183541171813144
train loss: 2.739377021789551
train per: 0.7122747348780084
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█▏        | 398/3515 [00:00<00:00, 3976.93it/s]

word -> phonemes:  24%|██▎       | 831/3515 [00:00<00:00, 4182.29it/s]

word -> phonemes:  36%|███▌      | 1271/3515 [00:00<00:00, 4278.24it/s]

word -> phonemes:  49%|████▉     | 1725/3515 [00:00<00:00, 4380.77it/s]

word -> phonemes:  62%|██████▏   | 2171/3515 [00:00<00:00, 4408.85it/s]

word -> phonemes:  74%|███████▍  | 2613/3515 [00:00<00:00, 4411.88it/s]

word -> phonemes:  87%|████████▋ | 3062/3515 [00:00<00:00, 4437.14it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4391.50it/s]


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overall:  91%|█████████ | 3626/4000 [18:16<01:28,  4.21it/s]

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overall:  91%|█████████ | 3627/4000 [18:16<01:26,  4.31it/s]

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overall:  91%|█████████ | 3630/4000 [18:17<01:13,  5.06it/s]

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overall:  91%|█████████ | 3635/4000 [18:18<01:16,  4.74it/s]

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overall:  91%|█████████ | 3640/4000 [18:19<01:20,  4.46it/s]

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overall:  91%|█████████▏| 3650/4000 [18:21<01:13,  4.79it/s]

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overall: 100%|█████████▉| 3999/4000 [19:34<00:00,  5.01it/s]

train:  14%|█▍        | 484/3515 [01:42<10:04,  5.01it/s]train loss: 2.7230942249298096
train per: 0.7098440348389711
train loss: 2.716886520385742
train per: 0.7173349640371568
train loss: 2.714808464050293
train per: 0.7137693149708525
train loss: 2.7460875511169434
train per: 0.7146808510638298
train loss: 2.737177848815918
train per: 0.7162816644268073
train loss: 2.7331764698028564
train per: 0.7147464523171578
train loss: 2.7332968711853027
train per: 0.7119678714859438
train loss: 2.7102911472320557
train per: 0.7137168819235286
train loss: 2.744904041290283
train per: 0.7298756877929489
train loss: 2.7503416538238525
train per: 0.7201197790283442
train loss: 2.747488498687744
train per: 0.71890372452565
train loss: 2.763701915740967
train per: 0.7154618473895582
train loss: 2.70880126953125
train per: 0.7096912413358538
train loss: 2.712629795074463
train per: 0.7106946148424652
train loss: 2.76404070854187
train per: 0.7202324325714139
train loss: 2.702244997024536
train per: 0.7109198466499098
train loss: 2.699310064315796
train per: 0.7143244175163785
train loss: 2.7007243633270264
train per: 0.712363930218187
train loss: 2.7323803901672363
train per: 0.7123402575615533
train loss: 2.7042441368103027
train per: 0.7021381002453557
train loss: 2.719439744949341
train per: 0.7162189662189662
train loss: 2.7297863960266113
train per: 0.714074564306199
train loss: 2.7219834327697754
train per: 0.7092538309382522
train loss: 2.7164034843444824
train per: 0.7130422096868314
train loss: 2.7180988788604736
train per: 0.7100361618863625
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 478/2703 [00:00<00:00, 4777.44it/s]


word -> phonemes:  39%|███▉      | 1055/2703 [00:00<00:00, 5357.25it/s]


word -> phonemes:  61%|██████    | 1640/2703 [00:00<00:00, 5580.56it/s]


word -> phonemes:  81%|████████▏ | 2199/2703 [00:00<00:00, 5480.91it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5427.88it/s]



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


dev:   0%|          | 1/2703 [00:01<54:57,  1.22s/it]


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overall: 100%|█████████▉| 3999/4000 [21:31<00:00,  5.01it/s]

train:  14%|█▍        | 484/3515 [03:39<10:04,  5.01it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:31<00:00,  5.01it/s]

train:  14%|█▍        | 484/3515 [03:39<10:04,  5.01it/s]
overall: 100%|██████████| 4000/4000 [21:31<00:00, 31.83s/it]

train:  14%|█▍        | 485/3515 [03:39<26:47:39, 31.83s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:39<22:53,  2.21it/s]   

overall: 100%|██████████| 4000/4000 [21:32<00:00,  3.10it/s]
dev loss: 2.9575979709625244
dev per: 0.7444276795005202
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt