/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")
2023-10-11 20:56:50 | 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] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k_encode {'model_config': None, 'refresh': False}
Loading model from Local mert_test_8x_400k_encode
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
}

using suno's k-means clusters: mert_test_8x_400k_encode

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


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

word -> phonemes:  10%|▉         | 339/3515 [00:00<00:00, 3368.22it/s]

word -> phonemes:  20%|██        | 720/3515 [00:00<00:00, 3623.56it/s]

word -> phonemes:  31%|███       | 1083/3515 [00:00<00:00, 3456.77it/s]

word -> phonemes:  42%|████▏     | 1463/3515 [00:00<00:00, 3587.56it/s]

word -> phonemes:  52%|█████▏    | 1823/3515 [00:00<00:00, 3417.21it/s]

word -> phonemes:  63%|██████▎   | 2209/3515 [00:00<00:00, 3560.56it/s]

word -> phonemes:  73%|███████▎  | 2571/3515 [00:00<00:00, 3577.88it/s]

word -> phonemes:  83%|████████▎ | 2931/3515 [00:00<00:00, 3542.67it/s]

word -> phonemes:  95%|█████████▍| 3327/3515 [00:00<00:00, 3669.00it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3570.72it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<4:02:22,  3.64s/it]

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overall:   3%|▎         | 130/4000 [00:29<13:23,  4.82it/s]

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train:   4%|▍         | 138/3515 [00:29<10:51,  5.18it/s]
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train:   4%|▍         | 140/3515 [00:29<10:58,  5.12it/s]
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train:   4%|▍         | 147/3515 [00:30<11:16,  4.98it/s]
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train:   4%|▍         | 148/3515 [00:31<10:52,  5.16it/s]
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train:   4%|▍         | 149/3515 [00:31<11:13,  5.00it/s]
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train:   4%|▍         | 151/3515 [00:31<09:39,  5.81it/s]
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train:   4%|▍         | 152/3515 [00:31<09:56,  5.64it/s]
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train:   4%|▍         | 153/3515 [00:32<11:06,  5.05it/s]
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train:   4%|▍         | 154/3515 [00:32<11:20,  4.94it/s]
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train:   4%|▍         | 155/3515 [00:32<11:39,  4.81it/s]
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train:   4%|▍         | 157/3515 [00:32<10:58,  5.10it/s]
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train:   4%|▍         | 158/3515 [00:33<11:03,  5.06it/s]
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train:   5%|▍         | 159/3515 [00:33<11:22,  4.92it/s]
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train:   5%|▍         | 160/3515 [00:33<11:22,  4.92it/s]
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train:   5%|▍         | 161/3515 [00:33<11:31,  4.85it/s]
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train:   5%|▍         | 162/3515 [00:33<11:25,  4.89it/s]
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train:   5%|▍         | 163/3515 [00:34<11:37,  4.81it/s]
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train:   5%|▍         | 164/3515 [00:34<11:37,  4.80it/s]
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train:   5%|▍         | 165/3515 [00:34<11:34,  4.82it/s]
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train:   5%|▍         | 166/3515 [00:34<11:42,  4.77it/s]
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train:   5%|▍         | 167/3515 [00:34<11:44,  4.75it/s]
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train:   5%|▍         | 168/3515 [00:35<11:41,  4.77it/s]
overall:   4%|▍         | 169/4000 [00:37<14:46,  4.32it/s]

train:   5%|▍         | 169/3515 [00:35<12:54,  4.32it/s]
overall:   4%|▍         | 170/4000 [00:38<16:16,  3.92it/s]

train:   5%|▍         | 170/3515 [00:35<14:13,  3.92it/s]
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train:   5%|▍         | 171/3515 [00:35<13:06,  4.25it/s]
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train:   5%|▍         | 173/3515 [00:36<09:37,  5.79it/s]
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train:   5%|▍         | 174/3515 [00:36<10:05,  5.52it/s]
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train:   5%|▍         | 175/3515 [00:36<10:28,  5.32it/s]
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train:   5%|▌         | 176/3515 [00:36<10:50,  5.13it/s]
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train:   5%|▌         | 177/3515 [00:36<11:48,  4.71it/s]
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train:   5%|▌         | 178/3515 [00:37<12:03,  4.61it/s]
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train:   5%|▌         | 179/3515 [00:37<11:51,  4.69it/s]
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train:   5%|▌         | 180/3515 [00:37<11:31,  4.82it/s]
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train:   5%|▌         | 181/3515 [00:37<12:39,  4.39it/s]
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train:   5%|▌         | 182/3515 [00:38<12:13,  4.55it/s]
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train:   5%|▌         | 183/3515 [00:38<12:14,  4.54it/s]
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train:   5%|▌         | 184/3515 [00:38<10:38,  5.22it/s]
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train:   5%|▌         | 185/3515 [00:38<10:38,  5.22it/s]
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train:   5%|▌         | 186/3515 [00:38<11:18,  4.91it/s]
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train:   5%|▌         | 187/3515 [00:39<11:16,  4.92it/s]
overall:   5%|▍         | 188/4000 [00:41<12:44,  4.99it/s]

train:   5%|▌         | 188/3515 [00:39<11:07,  4.99it/s]
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train:   5%|▌         | 189/3515 [00:39<11:19,  4.90it/s]
overall:   5%|▍         | 190/4000 [00:42<13:26,  4.72it/s]

train:   5%|▌         | 190/3515 [00:39<11:44,  4.72it/s]
overall:   5%|▍         | 191/4000 [00:42<13:15,  4.79it/s]

train:   5%|▌         | 191/3515 [00:39<11:34,  4.79it/s]
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train:   5%|▌         | 192/3515 [00:40<11:36,  4.77it/s]
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train:   5%|▌         | 193/3515 [00:40<12:41,  4.36it/s]
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train:   6%|▌         | 194/3515 [00:40<13:51,  4.00it/s]
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train:   6%|▌         | 195/3515 [00:40<12:29,  4.43it/s]
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train:   6%|▌         | 197/3515 [00:41<09:58,  5.55it/s]
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train:   6%|▌         | 198/3515 [00:41<10:17,  5.37it/s]
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train:   6%|▌         | 200/3515 [00:41<09:07,  6.05it/s]
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overall:   7%|▋         | 280/4000 [01:00<13:15,  4.68it/s]

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overall:   9%|▉         | 377/4000 [01:21<09:25,  6.40it/s]

train:  11%|█         | 377/3515 [01:18<08:10,  6.40it/s]
overall:   9%|▉         | 378/4000 [01:21<10:13,  5.90it/s]

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overall:   9%|▉         | 379/4000 [01:21<10:56,  5.52it/s]

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overall:  10%|▉         | 380/4000 [01:21<11:35,  5.21it/s]

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overall:  10%|▉         | 381/4000 [01:21<11:47,  5.12it/s]

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overall:  10%|▉         | 382/4000 [01:22<12:00,  5.02it/s]

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overall:  10%|▉         | 383/4000 [01:22<11:54,  5.06it/s]

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overall:  10%|▉         | 384/4000 [01:22<12:14,  4.93it/s]

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overall:  10%|▉         | 385/4000 [01:22<13:40,  4.41it/s]

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overall:  10%|▉         | 386/4000 [01:23<15:05,  3.99it/s]

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overall:  10%|▉         | 387/4000 [01:23<13:49,  4.35it/s]

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overall:  10%|▉         | 388/4000 [01:23<13:23,  4.49it/s]

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overall:  10%|▉         | 389/4000 [01:23<13:10,  4.57it/s]

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overall:  10%|▉         | 390/4000 [01:23<12:28,  4.82it/s]

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overall:  10%|▉         | 391/4000 [01:24<12:37,  4.77it/s]

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overall:  10%|▉         | 392/4000 [01:24<12:41,  4.74it/s]

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

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overall:  10%|▉         | 394/4000 [01:24<13:07,  4.58it/s]

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overall:  10%|▉         | 395/4000 [01:24<12:48,  4.69it/s]

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overall:  10%|▉         | 396/4000 [01:25<12:34,  4.78it/s]

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overall:  10%|▉         | 397/4000 [01:25<13:37,  4.41it/s]

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overall:  10%|▉         | 398/4000 [01:25<13:29,  4.45it/s]

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overall:  10%|█         | 400/4000 [01:25<10:54,  5.50it/s]

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overall:  10%|█         | 403/4000 [01:26<11:42,  5.12it/s]

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overall:  10%|█         | 404/4000 [01:26<12:03,  4.97it/s]

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overall:  10%|█         | 405/4000 [01:26<12:04,  4.96it/s]

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overall:  10%|█         | 406/4000 [01:27<12:34,  4.77it/s]

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overall:  10%|█         | 407/4000 [01:27<12:33,  4.77it/s]

train:  12%|█▏        | 407/3515 [01:24<10:51,  4.77it/s]
overall:  10%|█         | 408/4000 [01:27<12:27,  4.81it/s]

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overall:  10%|█         | 409/4000 [01:27<13:29,  4.44it/s]

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overall:  10%|█         | 410/4000 [01:28<14:51,  4.03it/s]

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overall:  10%|█         | 411/4000 [01:28<13:34,  4.41it/s]

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overall:  10%|█         | 412/4000 [01:28<13:21,  4.48it/s]

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overall:  10%|█         | 413/4000 [01:28<12:43,  4.70it/s]

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overall:  10%|█         | 414/4000 [01:28<12:32,  4.77it/s]

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overall:  10%|█         | 415/4000 [01:29<11:51,  5.04it/s]

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overall:  10%|█         | 417/4000 [01:29<11:08,  5.36it/s]

train:  12%|█▏        | 417/3515 [01:26<09:38,  5.36it/s]
overall:  10%|█         | 418/4000 [01:29<11:32,  5.17it/s]

train:  12%|█▏        | 418/3515 [01:27<09:58,  5.17it/s]
overall:  10%|█         | 419/4000 [01:29<11:40,  5.11it/s]

train:  12%|█▏        | 419/3515 [01:27<10:05,  5.11it/s]
overall:  10%|█         | 420/4000 [01:30<11:56,  5.00it/s]

train:  12%|█▏        | 420/3515 [01:27<10:19,  5.00it/s]
overall:  11%|█         | 421/4000 [01:30<13:06,  4.55it/s]

train:  12%|█▏        | 421/3515 [01:27<11:20,  4.55it/s]
overall:  11%|█         | 422/4000 [01:30<13:03,  4.57it/s]

train:  12%|█▏        | 422/3515 [01:28<11:17,  4.57it/s]
overall:  11%|█         | 423/4000 [01:30<12:51,  4.64it/s]

train:  12%|█▏        | 423/3515 [01:28<11:06,  4.64it/s]
overall:  11%|█         | 424/4000 [01:30<11:33,  5.16it/s]

train:  12%|█▏        | 424/3515 [01:28<09:59,  5.16it/s]
overall:  11%|█         | 425/4000 [01:31<11:52,  5.02it/s]

train:  12%|█▏        | 425/3515 [01:28<10:15,  5.02it/s]
overall:  11%|█         | 426/4000 [01:31<11:48,  5.04it/s]

train:  12%|█▏        | 426/3515 [01:28<10:12,  5.04it/s]
overall:  11%|█         | 428/4000 [01:31<10:23,  5.73it/s]

train:  12%|█▏        | 428/3515 [01:29<08:59,  5.73it/s]
overall:  11%|█         | 429/4000 [01:31<10:48,  5.51it/s]

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overall:  11%|█         | 430/4000 [01:32<11:29,  5.18it/s]

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overall:  11%|█         | 431/4000 [01:32<11:50,  5.02it/s]

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overall:  11%|█         | 432/4000 [01:32<12:08,  4.89it/s]

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overall:  11%|█         | 433/4000 [01:32<13:29,  4.41it/s]

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overall:  11%|█         | 434/4000 [01:33<15:16,  3.89it/s]

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overall:  11%|█         | 435/4000 [01:33<14:16,  4.16it/s]

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overall:  11%|█         | 436/4000 [01:33<13:34,  4.37it/s]

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overall:  11%|█         | 437/4000 [01:33<13:13,  4.49it/s]

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overall:  11%|█         | 438/4000 [01:33<12:51,  4.62it/s]

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overall:  11%|█         | 439/4000 [01:34<12:41,  4.67it/s]

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overall:  11%|█         | 440/4000 [01:34<11:33,  5.13it/s]

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overall:  11%|█         | 441/4000 [01:34<12:43,  4.66it/s]

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overall:  11%|█         | 442/4000 [01:34<12:25,  4.78it/s]

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overall:  11%|█         | 443/4000 [01:34<12:09,  4.88it/s]

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overall:  11%|█         | 444/4000 [01:35<12:20,  4.80it/s]

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overall:  11%|█         | 445/4000 [01:35<13:26,  4.41it/s]

train:  13%|█▎        | 445/3515 [01:32<11:36,  4.41it/s]
overall:  11%|█         | 446/4000 [01:35<13:32,  4.37it/s]

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overall:  11%|█         | 447/4000 [01:35<13:16,  4.46it/s]

train:  13%|█▎        | 447/3515 [01:33<11:28,  4.46it/s]
overall:  11%|█         | 448/4000 [01:36<13:12,  4.48it/s]

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overall:  11%|█         | 449/4000 [01:36<13:08,  4.50it/s]

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overall:  11%|█▏        | 450/4000 [01:36<12:35,  4.70it/s]

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overall:  11%|█▏        | 451/4000 [01:36<12:17,  4.81it/s]

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overall:  11%|█▏        | 452/4000 [01:36<12:16,  4.82it/s]

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overall:  11%|█▏        | 453/4000 [01:37<12:10,  4.86it/s]

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overall:  11%|█▏        | 454/4000 [01:37<12:31,  4.72it/s]

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overall:  11%|█▏        | 455/4000 [01:37<12:37,  4.68it/s]

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overall:  11%|█▏        | 456/4000 [01:37<12:43,  4.64it/s]

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overall:  11%|█▏        | 457/4000 [01:37<13:33,  4.36it/s]

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overall:  11%|█▏        | 458/4000 [01:38<15:10,  3.89it/s]

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overall:  11%|█▏        | 459/4000 [01:38<13:56,  4.23it/s]

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overall:  12%|█▏        | 460/4000 [01:38<13:36,  4.34it/s]

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overall:  12%|█▏        | 461/4000 [01:38<13:12,  4.46it/s]

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overall:  12%|█▏        | 462/4000 [01:39<12:37,  4.67it/s]

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overall:  12%|█▏        | 463/4000 [01:39<12:15,  4.81it/s]

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overall:  12%|█▏        | 465/4000 [01:39<11:07,  5.30it/s]

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overall:  12%|█▏        | 467/4000 [01:39<10:00,  5.89it/s]

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overall:  12%|█▏        | 468/4000 [01:40<10:41,  5.50it/s]

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overall:  12%|█▏        | 469/4000 [01:40<12:16,  4.79it/s]

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overall:  12%|█▏        | 470/4000 [01:40<12:28,  4.72it/s]

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overall:  12%|█▏        | 471/4000 [01:40<12:06,  4.86it/s]

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overall:  12%|█▏        | 472/4000 [01:41<12:21,  4.76it/s]

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overall:  12%|█▏        | 473/4000 [01:41<12:27,  4.72it/s]

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overall:  12%|█▏        | 474/4000 [01:41<12:32,  4.69it/s]

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overall:  12%|█▏        | 475/4000 [01:41<12:38,  4.65it/s]

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overall:  12%|█▏        | 476/4000 [01:41<12:25,  4.72it/s]

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overall:  12%|█▏        | 477/4000 [01:42<12:52,  4.56it/s]

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overall:  12%|█▏        | 478/4000 [01:42<13:00,  4.51it/s]

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overall:  12%|█▏        | 479/4000 [01:42<12:38,  4.64it/s]

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overall:  14%|█▎        | 542/4000 [01:55<12:32,  4.60it/s]

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overall:  14%|█▎        | 547/4000 [01:56<12:01,  4.79it/s]

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overall:  14%|█▎        | 549/4000 [01:57<11:56,  4.81it/s]

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overall:  14%|█▍        | 568/4000 [02:01<11:36,  4.93it/s]

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overall:  25%|██▍       | 993/4000 [03:29<11:19,  4.43it/s]

train:  28%|██▊       | 993/3515 [03:27<09:29,  4.43it/s]
overall:  25%|██▍       | 994/4000 [03:30<11:09,  4.49it/s]

train:  28%|██▊       | 994/3515 [03:27<09:21,  4.49it/s]
overall:  25%|██▍       | 995/4000 [03:30<11:02,  4.54it/s]

train:  28%|██▊       | 995/3515 [03:27<09:15,  4.54it/s]
overall:  25%|██▍       | 996/4000 [03:30<10:16,  4.88it/s]

train:  28%|██▊       | 996/3515 [03:28<08:36,  4.88it/s]
overall:  25%|██▍       | 997/4000 [03:30<11:29,  4.36it/s]

train:  28%|██▊       | 997/3515 [03:28<09:37,  4.36it/s]
overall:  25%|██▍       | 998/4000 [03:31<11:16,  4.44it/s]

train:  28%|██▊       | 998/3515 [03:28<09:27,  4.44it/s]
overall:  25%|██▍       | 999/4000 [03:31<10:42,  4.67it/s]

train:  28%|██▊       | 999/3515 [03:28<08:58,  4.67it/s]train loss: 4.091748237609863
train per: 0.9818113632102007
train loss: 3.467233180999756
train per: 0.8530983862305311
train loss: 3.300565004348755
train per: 0.8147080964618539
train loss: 3.2527942657470703
train per: 0.8137207466449362
train loss: 3.257920503616333
train per: 0.8136462831406417
train loss: 3.2831172943115234
train per: 0.8159451465447701
train loss: 3.2298054695129395
train per: 0.8228851595277588
train loss: 3.2735486030578613
train per: 0.8160412458807271
train loss: 3.2016079425811768
train per: 0.8081845165685368
train loss: 3.2130444049835205
train per: 0.8244450534392984
train loss: 3.2297606468200684
train per: 0.8193307179905742
train loss: 3.2375175952911377
train per: 0.815033197899118
train loss: 3.254237651824951
train per: 0.8148810925359077
train loss: 3.222362518310547
train per: 0.8105529551409822
train loss: 3.1798558235168457
train per: 0.812295448659085
train loss: 3.2068989276885986
train per: 0.8151698464402047
train loss: 3.1997296810150146
train per: 0.8192574459404325
train loss: 3.226233959197998
train per: 0.8162420649347017
train loss: 3.243718385696411
train per: 0.8156727723454069
train loss: 3.1997406482696533
train per: 0.8146870751724485
train loss: 3.1744959354400635
train per: 0.8119559052011147
train loss: 3.210507869720459
train per: 0.812878274190713
train loss: 3.191349506378174
train per: 0.8070841934208792
train loss: 3.196608066558838
train per: 0.8107121412273328
train loss: 3.1905391216278076
train per: 0.8074813857060056
train loss: 3.193598985671997
train per: 0.8183085861846352
train loss: 3.192683696746826
train per: 0.8124507097791798
train loss: 3.1639904975891113
train per: 0.8097190896042649
train loss: 3.1708929538726807
train per: 0.8025462720903482
train loss: 3.1683876514434814
train per: 0.8145611907649143
train loss: 3.191541910171509
train per: 0.812426447630713
train loss: 3.18515682220459
train per: 0.8139910841130652
train loss: 3.20698618888855
train per: 0.8170414736128376
train loss: 3.187502861022949
train per: 0.8160438646639988
train loss: 3.177609920501709
train per: 0.8139344709153356
train loss: 3.1976635456085205
train per: 0.8181632175844733
train loss: 3.210322141647339
train per: 0.8069002720705507
train loss: 3.194542646408081
train per: 0.810412147505423
train loss: 3.178306818008423
train per: 0.8127733818253305
train loss: 3.2135047912597656
train per: 0.8066151222816565
train loss: 3.192481279373169
train per: 0.8158856235107228
train loss: 3.1891837120056152
train per: 0.8151728658037031
train loss: 3.1804566383361816
train per: 0.8107761385503528
train loss: 3.204432249069214
train per: 0.8135469038174882
train loss: 3.189305305480957
train per: 0.8085278163239561
train loss: 3.169715642929077
train per: 0.8078417924096937
train loss: 3.2252795696258545
train per: 0.818071354705274
train loss: 3.202913284301758
train per: 0.8161226748737885
train loss: 3.176846504211426
train per: 0.8171524428601384
train loss: 3.1669583320617676
train per: 0.8178471724683153
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 412/2703 [00:00<00:00, 4116.05it/s]


word -> phonemes:  31%|███       | 838/2703 [00:00<00:00, 4199.05it/s]


word -> phonemes:  47%|████▋     | 1258/2703 [00:00<00:00, 3997.93it/s]


word -> phonemes:  62%|██████▏   | 1666/2703 [00:00<00:00, 4028.23it/s]


word -> phonemes:  78%|███████▊  | 2097/2703 [00:00<00:00, 4119.65it/s]


word -> phonemes:  93%|█████████▎| 2510/2703 [00:00<00:00, 4053.55it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4069.45it/s]



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overall:  47%|████▋     | 1870/4000 [08:15<07:00,  5.07it/s]

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overall:  47%|████▋     | 1872/4000 [08:15<06:41,  5.29it/s]

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overall:  47%|████▋     | 1875/4000 [08:16<08:51,  4.00it/s]

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overall:  47%|████▋     | 1885/4000 [08:18<07:31,  4.68it/s]

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overall:  47%|████▋     | 1887/4000 [08:19<07:27,  4.72it/s]

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overall:  47%|████▋     | 1888/4000 [08:19<07:29,  4.70it/s]

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overall:  47%|████▋     | 1889/4000 [08:19<07:22,  4.77it/s]

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overall:  47%|████▋     | 1890/4000 [08:19<06:56,  5.07it/s]

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overall:  47%|████▋     | 1891/4000 [08:19<07:08,  4.92it/s]

train:  54%|█████▍    | 1891/3515 [08:17<05:30,  4.92it/s]
overall:  47%|████▋     | 1892/4000 [08:20<07:13,  4.86it/s]

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overall:  47%|████▋     | 1893/4000 [08:20<07:28,  4.70it/s]

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overall:  47%|████▋     | 1894/4000 [08:20<07:26,  4.72it/s]

train:  54%|█████▍    | 1894/3515 [08:18<05:43,  4.72it/s]
overall:  47%|████▋     | 1895/4000 [08:20<07:03,  4.97it/s]

train:  54%|█████▍    | 1895/3515 [08:18<05:26,  4.97it/s]
overall:  47%|████▋     | 1897/4000 [08:21<06:47,  5.17it/s]

train:  54%|█████▍    | 1897/3515 [08:18<05:13,  5.17it/s]
overall:  47%|████▋     | 1898/4000 [08:21<08:08,  4.30it/s]

train:  54%|█████▍    | 1898/3515 [08:18<06:15,  4.30it/s]
overall:  47%|████▋     | 1899/4000 [08:21<07:55,  4.42it/s]

train:  54%|█████▍    | 1899/3515 [08:19<06:05,  4.42it/s]
overall:  48%|████▊     | 1900/4000 [08:21<09:23,  3.73it/s]

train:  54%|█████▍    | 1900/3515 [08:19<07:13,  3.73it/s]
overall:  48%|████▊     | 1901/4000 [08:22<08:38,  4.05it/s]

train:  54%|█████▍    | 1901/3515 [08:19<06:38,  4.05it/s]
overall:  48%|████▊     | 1902/4000 [08:22<07:26,  4.70it/s]

train:  54%|█████▍    | 1902/3515 [08:19<05:43,  4.70it/s]
overall:  48%|████▊     | 1903/4000 [08:22<07:26,  4.69it/s]

train:  54%|█████▍    | 1903/3515 [08:20<05:43,  4.69it/s]
overall:  48%|████▊     | 1904/4000 [08:22<07:21,  4.74it/s]

train:  54%|█████▍    | 1904/3515 [08:20<05:39,  4.74it/s]
overall:  48%|████▊     | 1905/4000 [08:22<06:19,  5.52it/s]

train:  54%|█████▍    | 1905/3515 [08:20<04:51,  5.52it/s]
overall:  48%|████▊     | 1906/4000 [08:23<06:41,  5.21it/s]

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overall:  48%|████▊     | 1907/4000 [08:23<06:05,  5.73it/s]

train:  54%|█████▍    | 1907/3515 [08:20<04:40,  5.73it/s]
overall:  48%|████▊     | 1908/4000 [08:23<06:28,  5.39it/s]

train:  54%|█████▍    | 1908/3515 [08:20<04:58,  5.39it/s]
overall:  48%|████▊     | 1909/4000 [08:23<06:39,  5.23it/s]

train:  54%|█████▍    | 1909/3515 [08:21<05:07,  5.23it/s]
overall:  48%|████▊     | 1910/4000 [08:23<06:59,  4.98it/s]

train:  54%|█████▍    | 1910/3515 [08:21<05:22,  4.98it/s]
overall:  48%|████▊     | 1911/4000 [08:23<06:11,  5.62it/s]

train:  54%|█████▍    | 1911/3515 [08:21<04:45,  5.62it/s]
overall:  48%|████▊     | 1913/4000 [08:24<05:46,  6.02it/s]

train:  54%|█████▍    | 1913/3515 [08:21<04:25,  6.02it/s]
overall:  48%|████▊     | 1914/4000 [08:24<05:58,  5.81it/s]

train:  54%|█████▍    | 1914/3515 [08:21<04:35,  5.81it/s]
overall:  48%|████▊     | 1915/4000 [08:24<06:28,  5.37it/s]

train:  54%|█████▍    | 1915/3515 [08:22<04:57,  5.37it/s]
overall:  48%|████▊     | 1916/4000 [08:24<06:06,  5.68it/s]

train:  55%|█████▍    | 1916/3515 [08:22<04:41,  5.68it/s]
overall:  48%|████▊     | 1917/4000 [08:25<06:30,  5.33it/s]

train:  55%|█████▍    | 1917/3515 [08:22<04:59,  5.33it/s]
overall:  48%|████▊     | 1918/4000 [08:25<06:33,  5.29it/s]

train:  55%|█████▍    | 1918/3515 [08:22<05:02,  5.29it/s]
overall:  48%|████▊     | 1919/4000 [08:25<06:49,  5.09it/s]

train:  55%|█████▍    | 1919/3515 [08:22<05:13,  5.09it/s]
overall:  48%|████▊     | 1920/4000 [08:25<06:57,  4.99it/s]

train:  55%|█████▍    | 1920/3515 [08:23<05:20,  4.98it/s]
overall:  48%|████▊     | 1921/4000 [08:25<07:35,  4.57it/s]

train:  55%|█████▍    | 1921/3515 [08:23<05:49,  4.57it/s]
overall:  48%|████▊     | 1922/4000 [08:26<09:12,  3.76it/s]

train:  55%|█████▍    | 1922/3515 [08:23<07:03,  3.76it/s]
overall:  48%|████▊     | 1923/4000 [08:26<08:33,  4.04it/s]

train:  55%|█████▍    | 1923/3515 [08:24<06:33,  4.04it/s]
overall:  48%|████▊     | 1924/4000 [08:26<10:01,  3.45it/s]

train:  55%|█████▍    | 1924/3515 [08:24<07:41,  3.45it/s]
overall:  48%|████▊     | 1925/4000 [08:27<08:45,  3.95it/s]

train:  55%|█████▍    | 1925/3515 [08:24<06:42,  3.95it/s]
overall:  48%|████▊     | 1926/4000 [08:27<08:16,  4.18it/s]

train:  55%|█████▍    | 1926/3515 [08:24<06:20,  4.18it/s]
overall:  48%|████▊     | 1927/4000 [08:27<07:52,  4.38it/s]

train:  55%|█████▍    | 1927/3515 [08:24<06:02,  4.39it/s]
overall:  48%|████▊     | 1929/4000 [08:27<06:31,  5.29it/s]

train:  55%|█████▍    | 1929/3515 [08:25<04:59,  5.29it/s]
overall:  48%|████▊     | 1930/4000 [08:27<06:46,  5.09it/s]

train:  55%|█████▍    | 1930/3515 [08:25<05:11,  5.09it/s]
overall:  48%|████▊     | 1931/4000 [08:28<06:57,  4.96it/s]

train:  55%|█████▍    | 1931/3515 [08:25<05:19,  4.96it/s]
overall:  48%|████▊     | 1932/4000 [08:28<07:04,  4.87it/s]

train:  55%|█████▍    | 1932/3515 [08:25<05:24,  4.87it/s]
overall:  48%|████▊     | 1933/4000 [08:28<07:07,  4.84it/s]

train:  55%|█████▍    | 1933/3515 [08:26<05:27,  4.84it/s]
overall:  48%|████▊     | 1934/4000 [08:28<07:12,  4.78it/s]

train:  55%|█████▌    | 1934/3515 [08:26<05:30,  4.78it/s]
overall:  48%|████▊     | 1935/4000 [08:29<07:18,  4.71it/s]

train:  55%|█████▌    | 1935/3515 [08:26<05:35,  4.71it/s]
overall:  48%|████▊     | 1936/4000 [08:29<06:15,  5.49it/s]

train:  55%|█████▌    | 1936/3515 [08:26<04:47,  5.49it/s]
overall:  48%|████▊     | 1937/4000 [08:29<06:22,  5.39it/s]

train:  55%|█████▌    | 1937/3515 [08:26<04:52,  5.39it/s]
overall:  48%|████▊     | 1938/4000 [08:29<06:28,  5.31it/s]

train:  55%|█████▌    | 1938/3515 [08:27<04:57,  5.31it/s]
overall:  48%|████▊     | 1939/4000 [08:29<06:47,  5.06it/s]

train:  55%|█████▌    | 1939/3515 [08:27<05:11,  5.06it/s]
overall:  48%|████▊     | 1940/4000 [08:29<06:51,  5.01it/s]

train:  55%|█████▌    | 1940/3515 [08:27<05:14,  5.01it/s]
overall:  49%|████▊     | 1941/4000 [08:30<06:40,  5.14it/s]

train:  55%|█████▌    | 1941/3515 [08:27<05:06,  5.14it/s]
overall:  49%|████▊     | 1942/4000 [08:30<06:53,  4.98it/s]

train:  55%|█████▌    | 1942/3515 [08:27<05:16,  4.98it/s]
overall:  49%|████▊     | 1943/4000 [08:30<07:02,  4.87it/s]

train:  55%|█████▌    | 1943/3515 [08:28<05:23,  4.87it/s]
overall:  49%|████▊     | 1945/4000 [08:30<06:41,  5.12it/s]

train:  55%|█████▌    | 1945/3515 [08:28<05:06,  5.12it/s]
overall:  49%|████▊     | 1946/4000 [08:31<08:13,  4.16it/s]

train:  55%|█████▌    | 1946/3515 [08:28<06:17,  4.16it/s]
overall:  49%|████▊     | 1948/4000 [08:31<08:00,  4.27it/s]

train:  55%|█████▌    | 1948/3515 [08:29<06:06,  4.27it/s]
overall:  49%|████▊     | 1949/4000 [08:31<07:54,  4.33it/s]

train:  55%|█████▌    | 1949/3515 [08:29<06:01,  4.33it/s]
overall:  49%|████▉     | 1950/4000 [08:32<07:47,  4.38it/s]

train:  55%|█████▌    | 1950/3515 [08:29<05:57,  4.38it/s]
overall:  49%|████▉     | 1951/4000 [08:32<07:37,  4.48it/s]

train:  56%|█████▌    | 1951/3515 [08:29<05:49,  4.48it/s]
overall:  49%|████▉     | 1952/4000 [08:32<07:30,  4.55it/s]

train:  56%|█████▌    | 1952/3515 [08:30<05:43,  4.55it/s]
overall:  49%|████▉     | 1953/4000 [08:32<07:24,  4.60it/s]

train:  56%|█████▌    | 1953/3515 [08:30<05:39,  4.60it/s]
overall:  49%|████▉     | 1954/4000 [08:33<07:24,  4.60it/s]

train:  56%|█████▌    | 1954/3515 [08:30<05:39,  4.60it/s]
overall:  49%|████▉     | 1955/4000 [08:33<07:09,  4.77it/s]

train:  56%|█████▌    | 1955/3515 [08:30<05:27,  4.77it/s]
overall:  49%|████▉     | 1956/4000 [08:33<07:00,  4.86it/s]

train:  56%|█████▌    | 1956/3515 [08:30<05:20,  4.86it/s]
overall:  49%|████▉     | 1957/4000 [08:33<07:05,  4.80it/s]

train:  56%|█████▌    | 1957/3515 [08:31<05:24,  4.80it/s]
overall:  49%|████▉     | 1958/4000 [08:33<07:09,  4.76it/s]

train:  56%|█████▌    | 1958/3515 [08:31<05:27,  4.76it/s]
overall:  49%|████▉     | 1959/4000 [08:34<07:04,  4.80it/s]

train:  56%|█████▌    | 1959/3515 [08:31<05:23,  4.80it/s]
overall:  49%|████▉     | 1960/4000 [08:34<07:07,  4.77it/s]

train:  56%|█████▌    | 1960/3515 [08:31<05:25,  4.77it/s]
overall:  49%|████▉     | 1961/4000 [08:34<07:07,  4.77it/s]

train:  56%|█████▌    | 1961/3515 [08:32<05:25,  4.77it/s]
overall:  49%|████▉     | 1962/4000 [08:34<07:11,  4.72it/s]

train:  56%|█████▌    | 1962/3515 [08:32<05:28,  4.72it/s]
overall:  49%|████▉     | 1963/4000 [08:34<07:17,  4.66it/s]

train:  56%|█████▌    | 1963/3515 [08:32<05:33,  4.66it/s]
overall:  49%|████▉     | 1964/4000 [08:35<07:02,  4.82it/s]

train:  56%|█████▌    | 1964/3515 [08:32<05:21,  4.82it/s]
overall:  49%|████▉     | 1965/4000 [08:35<07:05,  4.78it/s]

train:  56%|█████▌    | 1965/3515 [08:32<05:23,  4.78it/s]
overall:  49%|████▉     | 1966/4000 [08:35<06:55,  4.90it/s]

train:  56%|█████▌    | 1966/3515 [08:33<05:16,  4.90it/s]
overall:  49%|████▉     | 1967/4000 [08:35<06:41,  5.06it/s]

train:  56%|█████▌    | 1967/3515 [08:33<05:06,  5.06it/s]
overall:  49%|████▉     | 1968/4000 [08:35<06:28,  5.24it/s]

train:  56%|█████▌    | 1968/3515 [08:33<04:55,  5.24it/s]
overall:  49%|████▉     | 1969/4000 [08:36<07:19,  4.62it/s]

train:  56%|█████▌    | 1969/3515 [08:33<05:34,  4.62it/s]
overall:  49%|████▉     | 1970/4000 [08:36<08:58,  3.77it/s]

train:  56%|█████▌    | 1970/3515 [08:34<06:50,  3.77it/s]
overall:  49%|████▉     | 1971/4000 [08:36<08:26,  4.01it/s]

train:  56%|█████▌    | 1971/3515 [08:34<06:25,  4.01it/s]
overall:  49%|████▉     | 1972/4000 [08:37<09:22,  3.61it/s]

train:  56%|█████▌    | 1972/3515 [08:34<07:07,  3.61it/s]
overall:  49%|████▉     | 1973/4000 [08:37<08:42,  3.88it/s]

train:  56%|█████▌    | 1973/3515 [08:34<06:37,  3.88it/s]
overall:  49%|████▉     | 1974/4000 [08:37<08:17,  4.07it/s]

train:  56%|█████▌    | 1974/3515 [08:35<06:18,  4.07it/s]
overall:  49%|████▉     | 1975/4000 [08:37<08:07,  4.16it/s]

train:  56%|█████▌    | 1975/3515 [08:35<06:10,  4.16it/s]
overall:  49%|████▉     | 1976/4000 [08:37<07:46,  4.34it/s]

train:  56%|█████▌    | 1976/3515 [08:35<05:54,  4.34it/s]
overall:  49%|████▉     | 1977/4000 [08:38<07:44,  4.36it/s]

train:  56%|█████▌    | 1977/3515 [08:35<05:52,  4.36it/s]
overall:  49%|████▉     | 1978/4000 [08:38<07:22,  4.57it/s]

train:  56%|█████▋    | 1978/3515 [08:35<05:36,  4.57it/s]
overall:  49%|████▉     | 1979/4000 [08:38<06:45,  4.98it/s]

train:  56%|█████▋    | 1979/3515 [08:36<05:08,  4.98it/s]
overall:  50%|████▉     | 1980/4000 [08:38<06:56,  4.85it/s]

train:  56%|█████▋    | 1980/3515 [08:36<05:16,  4.85it/s]
overall:  50%|████▉     | 1981/4000 [08:38<06:23,  5.27it/s]

train:  56%|█████▋    | 1981/3515 [08:36<04:51,  5.27it/s]
overall:  50%|████▉     | 1982/4000 [08:39<06:22,  5.28it/s]

train:  56%|█████▋    | 1982/3515 [08:36<04:50,  5.28it/s]
overall:  50%|████▉     | 1984/4000 [08:39<05:45,  5.84it/s]

train:  56%|█████▋    | 1984/3515 [08:36<04:22,  5.84it/s]
overall:  50%|████▉     | 1985/4000 [08:39<06:04,  5.53it/s]

train:  56%|█████▋    | 1985/3515 [08:37<04:36,  5.53it/s]
overall:  50%|████▉     | 1986/4000 [08:39<05:23,  6.23it/s]

train:  57%|█████▋    | 1986/3515 [08:37<04:05,  6.23it/s]
overall:  50%|████▉     | 1987/4000 [08:39<05:46,  5.81it/s]

train:  57%|█████▋    | 1987/3515 [08:37<04:22,  5.81it/s]
overall:  50%|████▉     | 1988/4000 [08:40<06:14,  5.37it/s]

train:  57%|█████▋    | 1988/3515 [08:37<04:44,  5.37it/s]
overall:  50%|████▉     | 1989/4000 [08:40<06:30,  5.15it/s]

train:  57%|█████▋    | 1989/3515 [08:37<04:56,  5.15it/s]
overall:  50%|████▉     | 1990/4000 [08:40<06:45,  4.96it/s]

train:  57%|█████▋    | 1990/3515 [08:38<05:07,  4.96it/s]
overall:  50%|████▉     | 1991/4000 [08:40<06:53,  4.86it/s]

train:  57%|█████▋    | 1991/3515 [08:38<05:13,  4.86it/s]
overall:  50%|████▉     | 1992/4000 [08:40<06:01,  5.55it/s]

train:  57%|█████▋    | 1992/3515 [08:38<04:34,  5.55it/s]
overall:  50%|████▉     | 1993/4000 [08:41<06:58,  4.80it/s]

train:  57%|█████▋    | 1993/3515 [08:38<05:17,  4.80it/s]
overall:  50%|████▉     | 1994/4000 [08:41<08:19,  4.02it/s]

train:  57%|█████▋    | 1994/3515 [08:39<06:18,  4.02it/s]
overall:  50%|████▉     | 1995/4000 [08:41<07:55,  4.22it/s]

train:  57%|█████▋    | 1995/3515 [08:39<06:00,  4.22it/s]
overall:  50%|████▉     | 1996/4000 [08:42<09:12,  3.63it/s]

train:  57%|█████▋    | 1996/3515 [08:39<06:58,  3.63it/s]
overall:  50%|████▉     | 1997/4000 [08:42<08:35,  3.88it/s]

train:  57%|█████▋    | 1997/3515 [08:39<06:30,  3.88it/s]
overall:  50%|████▉     | 1998/4000 [08:42<08:04,  4.14it/s]

train:  57%|█████▋    | 1998/3515 [08:40<06:06,  4.14it/s]
overall:  50%|████▉     | 1999/4000 [08:42<07:40,  4.35it/s]

train:  57%|█████▋    | 1999/3515 [08:40<05:48,  4.35it/s]dev loss: 3.2791144847869873
dev per: 0.8243132154006243
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1752498149871826
train per: 0.8163538535377776
train loss: 3.1898133754730225
train per: 0.8194846008799497
train loss: 3.187483310699463
train per: 0.8126709830384826
train loss: 3.173987865447998
train per: 0.8199174981883048
train loss: 3.2032711505889893
train per: 0.8147174163783161
train loss: 3.1810402870178223
train per: 0.8066563612516395
train loss: 3.1732254028320312
train per: 0.8214822492873801
train loss: 3.16475248336792
train per: 0.8079570000502336
train loss: 3.1845338344573975
train per: 0.8128544873933559
train loss: 3.189845323562622
train per: 0.8143550153878254
train loss: 3.1925902366638184
train per: 0.8052448278248033
train loss: 3.1656675338745117
train per: 0.8124486739771025
train loss: 3.185839891433716
train per: 0.8095418881295875
train loss: 3.1681346893310547
train per: 0.8218763870395028
train loss: 3.1629209518432617
train per: 0.8146439896223696
train loss: 3.1829209327697754
train per: 0.810183606876735
train loss: 3.1740612983703613
train per: 0.8102832442270504
train loss: 3.173496723175049
train per: 0.8220540178197357
train loss: 3.1717631816864014
train per: 0.8181936052692996
train loss: 3.1757664680480957
train per: 0.8087858872362504
train loss: 3.163827419281006
train per: 0.8119771350065013
train loss: 3.1723389625549316
train per: 0.8174624496275491
train loss: 3.1610913276672363
train per: 0.810515163554496
train loss: 3.171353340148926
train per: 0.8063129393881816
train loss: 3.1945714950561523
train per: 0.814022982920726
train loss: 3.1831562519073486
train per: 0.8219848380427291
train loss: 3.2014002799987793
train per: 0.8169413671980545
train loss: 3.1787405014038086
train per: 0.8112859339879332
train loss: 3.181924343109131
train per: 0.8041196137569848
train loss: 3.1668944358825684
train per: 0.8106025164356241
train loss: 3.1732351779937744
train per: 0.8155957419520329
train loss: 3.2147316932678223
train per: 0.8161036939763138
train loss: 3.1997203826904297
train per: 0.8112776752767528
train loss: 3.198716402053833
train per: 0.8139695358822326
train loss: 3.180306911468506
train per: 0.8106973039511477
train loss: 3.2075912952423096
train per: 0.815812494344062
train loss: 3.205925703048706
train per: 0.8217509025270758
train loss: 3.181830644607544
train per: 0.817256867756905
train loss: 3.1770477294921875
train per: 0.8166076776476995
train loss: 3.2024192810058594
train per: 0.81267332224071
train loss: 3.1690409183502197
train per: 0.8078946185316729
train loss: 3.189328670501709
train per: 0.8125289307205679
train loss: 3.1791348457336426
train per: 0.8102718581955786
train loss: 3.1601765155792236
train per: 0.8155481660620717
train loss: 3.1627697944641113
train per: 0.8160967569700769
train loss: 3.169159412384033
train per: 0.812926718252162
train loss: 3.168018102645874
train per: 0.8103764239722635
train loss: 3.17206072807312
train per: 0.8138413757938163
train loss: 3.1427664756774902
train per: 0.8088270339831276
train loss: 3.152298927307129
train per: 0.8108919278712332
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 494/2703 [00:00<00:00, 4937.39it/s]


word -> phonemes:  37%|███▋      | 988/2703 [00:00<00:00, 2032.44it/s]


word -> phonemes:  59%|█████▉    | 1592/2703 [00:00<00:00, 3061.73it/s]


word -> phonemes:  81%|████████  | 2192/2703 [00:00<00:00, 3850.27it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3688.52it/s]



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


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overall:  75%|███████▍  | 2995/4000 [14:00<03:28,  4.83it/s]

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train:  85%|████████▌ | 2999/3515 [13:59<01:48,  4.77it/s]dev loss: 3.297302007675171
dev per: 0.8339594172736733
train loss: 3.1794774532318115
train per: 0.820952586090843
train loss: 3.1506800651550293
train per: 0.8170227998678269
train loss: 3.1668171882629395
train per: 0.8155743687052985
train loss: 3.157782793045044
train per: 0.8087013967534918
train loss: 3.1530869007110596
train per: 0.809319497106366
train loss: 3.1642074584960938
train per: 0.8133360868268282
train loss: 3.1690139770507812
train per: 0.8149815896245222
train loss: 3.1725900173187256
train per: 0.8117323775388291
train loss: 3.129215955734253
train per: 0.8106410942900258
train loss: 3.1628870964050293
train per: 0.817751113015737
train loss: 3.1559109687805176
train per: 0.8099420340769365
train loss: 3.1851413249969482
train per: 0.8121813175606771
train loss: 3.21168851852417
train per: 0.8125534644995723
train loss: 3.1930997371673584
train per: 0.8033725585345142
train loss: 3.163118839263916
train per: 0.8201985815602837
train loss: 3.191175937652588
train per: 0.8129711095675439
train loss: 3.178495407104492
train per: 0.8130399723534155
train loss: 3.1878044605255127
train per: 0.8076509998465708
train loss: 3.1630778312683105
train per: 0.8055416815316923
train loss: 3.164608955383301
train per: 0.8151156494159512
train loss: 3.1754202842712402
train per: 0.8142491604030065
train loss: 3.184711217880249
train per: 0.8106757202810393
train loss: 3.1836068630218506
train per: 0.8131303993848659
train loss: 3.1930689811706543
train per: 0.8118151722851681
train loss: 3.2052948474884033
train per: 0.8071129931389366
train loss: 3.158679246902466
train per: 0.8140964544414793
train loss: 3.1417458057403564
train per: 0.8138266474629896
train loss: 3.156853675842285
train per: 0.8104705261643245
train loss: 3.158562660217285
train per: 0.8135748624671656
train loss: 3.1842398643493652
train per: 0.810067556809135
train loss: 3.1641030311584473
train per: 0.816006233303651
train loss: 3.174917221069336
train per: 0.8156515452738117
train loss: 3.1596951484680176
train per: 0.8163365182941039
train loss: 3.155712366104126
train per: 0.8177648562620617
train loss: 3.171403408050537
train per: 0.8124803767660911
train loss: 3.171722650527954
train per: 0.8140131252412728
train loss: 3.1832187175750732
train per: 0.8081617556404882
train loss: 3.151381254196167
train per: 0.8106577575585252
train loss: 3.1783032417297363
train per: 0.8135341535850658
train loss: 3.16586971282959
train per: 0.8146462246454743
train loss: 3.1728200912475586
train per: 0.809575896186546
train loss: 3.173811912536621
train per: 0.8137362925651923
train loss: 3.159498929977417
train per: 0.8081822308863194
train loss: 3.199489116668701
train per: 0.8045762209713074
train loss: 3.163667678833008
train per: 0.8120244319064134
train loss: 3.1746342182159424
train per: 0.811148606424197
train loss: 3.1815428733825684
train per: 0.8139139456468486
train loss: 3.1746325492858887
train per: 0.8071168254974308
train loss: 3.200566530227661
train per: 0.8146979374416198
train loss: 3.201993465423584
train per: 0.820495117861722
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 588/2703 [00:00<00:00, 5876.12it/s]


word -> phonemes:  44%|████▍     | 1190/2703 [00:00<00:00, 5958.31it/s]


word -> phonemes:  67%|██████▋   | 1809/2703 [00:00<00:00, 6063.91it/s]


word -> phonemes:  89%|████████▉ | 2416/2703 [00:00<00:00, 6000.49it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5961.35it/s]



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train: 100%|██████████| 3515/3515 [17:36<00:00,  5.08it/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 [17:36<00:00,  3.33it/s]
dev loss: 3.3279869556427
dev per: 0.7881841831425598
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.143716812133789
train per: 0.807710602077857
train loss: 3.163508892059326
train per: 0.8174226297691174
train loss: 3.1331331729888916
train per: 0.8080218068535826
train loss: 3.141875743865967
train per: 0.8142547507434851
train loss: 3.1512093544006348
train per: 0.8057613558359173
train loss: 3.1578567028045654
train per: 0.813268000406215
train loss: 3.1551153659820557
train per: 0.8126227774139928
train loss: 3.1656951904296875
train per: 0.8111476669628491
train loss: 3.1803414821624756
train per: 0.8143315987351543
train loss: 3.1543803215026855
train per: 0.8059768912557653
train loss: 3.1665358543395996
train per: 0.8159261396422389
train loss: 3.1918575763702393
train per: 0.8077548232079339
train loss: 3.163670301437378
train per: 0.8172348723109825
train loss: 3.151735305786133
train per: 0.8090223457164872
train loss: 3.1737093925476074
train per: 0.8103718967716612
train loss: 3.16856050491333
train per: 0.8066148480773175
train loss: 3.161135673522949
train per: 0.8078894380377082
train loss: 3.1727774143218994
train per: 0.8131479736098021
train loss: 3.1769070625305176
train per: 0.8081505693800084
train loss: 3.178964376449585
train per: 0.8159810900396675
train loss: 3.181140899658203
train per: 0.8090298794915534
train loss: 3.1778597831726074
train per: 0.8096423662439378
train loss: 3.212555408477783
train per: 0.8066187531338793
train loss: 3.178781032562256
train per: 0.8135886777513855
train loss: 3.1995158195495605
train per: 0.8049316233260114
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 413/3515 [00:00<00:00, 4123.98it/s]

word -> phonemes:  23%|██▎       | 826/3515 [00:00<00:00, 3960.58it/s]

word -> phonemes:  35%|███▍      | 1223/3515 [00:00<00:01, 2145.90it/s]

word -> phonemes:  49%|████▊     | 1706/3515 [00:00<00:00, 2832.88it/s]

word -> phonemes:  63%|██████▎   | 2202/3515 [00:00<00:00, 3401.92it/s]

word -> phonemes:  76%|███████▌  | 2658/3515 [00:00<00:00, 3722.47it/s]

word -> phonemes:  89%|████████▉ | 3121/3515 [00:00<00:00, 3979.03it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3567.65it/s]


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overall:  88%|████████▊ | 3539/4000 [17:46<01:29,  5.12it/s]

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overall:  89%|████████▊ | 3544/4000 [17:47<01:32,  4.95it/s]

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overall:  89%|████████▊ | 3546/4000 [17:48<01:21,  5.55it/s]

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overall:  89%|████████▊ | 3547/4000 [17:48<01:26,  5.25it/s]

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overall:  89%|████████▊ | 3548/4000 [17:48<01:28,  5.09it/s]

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overall:  89%|████████▊ | 3549/4000 [17:48<01:30,  4.99it/s]

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overall:  89%|████████▉ | 3551/4000 [17:49<01:34,  4.74it/s]

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overall:  89%|████████▉ | 3557/4000 [17:50<01:28,  5.01it/s]

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overall:  89%|████████▉ | 3559/4000 [17:50<01:19,  5.56it/s]

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overall:  89%|████████▉ | 3560/4000 [17:51<01:23,  5.25it/s]

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overall:  89%|████████▉ | 3561/4000 [17:51<01:26,  5.07it/s]

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overall:  89%|████████▉ | 3562/4000 [17:51<01:28,  4.93it/s]

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overall:  89%|████████▉ | 3564/4000 [17:52<01:50,  3.95it/s]

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overall:  89%|████████▉ | 3565/4000 [17:52<01:32,  4.71it/s]

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overall:  89%|████████▉ | 3569/4000 [17:53<01:16,  5.65it/s]

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overall:  89%|████████▉ | 3574/4000 [17:54<01:26,  4.92it/s]

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overall:  89%|████████▉ | 3575/4000 [17:54<01:28,  4.80it/s]

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overall:  89%|████████▉ | 3576/4000 [17:54<01:51,  3.79it/s]

train:   2%|▏         | 61/3515 [00:13<15:10,  3.79it/s]
overall:  89%|████████▉ | 3577/4000 [17:54<01:42,  4.11it/s]

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overall:  90%|████████▉ | 3586/4000 [17:56<01:07,  6.11it/s]

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train:   3%|▎         | 109/3515 [00:24<16:05,  3.53it/s]
overall:  91%|█████████ | 3625/4000 [18:05<01:38,  3.82it/s]

train:   3%|▎         | 110/3515 [00:24<14:51,  3.82it/s]
overall:  91%|█████████ | 3626/4000 [18:05<01:29,  4.17it/s]

train:   3%|▎         | 111/3515 [00:24<13:36,  4.17it/s]
overall:  91%|█████████ | 3627/4000 [18:05<01:26,  4.31it/s]

train:   3%|▎         | 112/3515 [00:24<13:09,  4.31it/s]
overall:  91%|█████████ | 3628/4000 [18:05<01:11,  5.19it/s]

train:   3%|▎         | 113/3515 [00:24<10:55,  5.19it/s]
overall:  91%|█████████ | 3629/4000 [18:05<01:13,  5.05it/s]

train:   3%|▎         | 114/3515 [00:25<11:14,  5.05it/s]
overall:  91%|█████████ | 3630/4000 [18:06<01:14,  4.97it/s]

train:   3%|▎         | 115/3515 [00:25<11:24,  4.97it/s]
overall:  91%|█████████ | 3631/4000 [18:06<01:12,  5.06it/s]

train:   3%|▎         | 116/3515 [00:25<11:11,  5.06it/s]
overall:  91%|█████████ | 3632/4000 [18:06<01:13,  5.01it/s]

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overall:  91%|█████████ | 3633/4000 [18:06<01:14,  4.90it/s]

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overall:  91%|█████████ | 3634/4000 [18:06<01:15,  4.82it/s]

train:   3%|▎         | 119/3515 [00:26<11:44,  4.82it/s]
overall:  91%|█████████ | 3635/4000 [18:07<01:17,  4.69it/s]

train:   3%|▎         | 120/3515 [00:26<12:04,  4.69it/s]
overall:  91%|█████████ | 3636/4000 [18:07<01:37,  3.72it/s]

train:   3%|▎         | 121/3515 [00:26<15:11,  3.72it/s]
overall:  91%|█████████ | 3637/4000 [18:07<01:31,  3.95it/s]

train:   3%|▎         | 122/3515 [00:27<14:19,  3.95it/s]
overall:  91%|█████████ | 3638/4000 [18:08<01:26,  4.21it/s]

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overall:  91%|█████████ | 3639/4000 [18:08<01:22,  4.35it/s]

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overall:  91%|█████████ | 3640/4000 [18:08<01:21,  4.42it/s]

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overall:  91%|█████████ | 3641/4000 [18:08<01:20,  4.47it/s]

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overall:  91%|█████████ | 3642/4000 [18:08<01:18,  4.55it/s]

train:   4%|▎         | 127/3515 [00:28<12:24,  4.55it/s]
overall:  91%|█████████ | 3643/4000 [18:09<01:17,  4.63it/s]

train:   4%|▎         | 128/3515 [00:28<12:10,  4.63it/s]
overall:  91%|█████████ | 3644/4000 [18:09<01:15,  4.74it/s]

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overall:  91%|█████████ | 3645/4000 [18:09<01:14,  4.75it/s]

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overall:  91%|█████████ | 3646/4000 [18:09<01:15,  4.68it/s]

train:   4%|▎         | 131/3515 [00:28<12:03,  4.68it/s]
overall:  91%|█████████ | 3647/4000 [18:09<01:09,  5.11it/s]

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overall:  91%|█████████ | 3648/4000 [18:10<01:22,  4.26it/s]

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overall:  91%|█████████ | 3649/4000 [18:10<01:19,  4.44it/s]

train:   4%|▍         | 134/3515 [00:29<12:41,  4.44it/s]
overall:  91%|█████████▏| 3650/4000 [18:10<01:12,  4.84it/s]

train:   4%|▍         | 135/3515 [00:29<11:38,  4.84it/s]
overall:  91%|█████████▏| 3651/4000 [18:10<01:04,  5.43it/s]

train:   4%|▍         | 136/3515 [00:29<10:22,  5.43it/s]
overall:  91%|█████████▏| 3652/4000 [18:10<01:06,  5.21it/s]

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overall:  91%|█████████▏| 3653/4000 [18:11<01:09,  4.99it/s]

train:   4%|▍         | 138/3515 [00:30<11:16,  4.99it/s]
overall:  91%|█████████▏| 3655/4000 [18:11<00:58,  5.87it/s]

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overall:  91%|█████████▏| 3656/4000 [18:11<01:02,  5.50it/s]

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overall:  91%|█████████▏| 3657/4000 [18:11<01:05,  5.22it/s]

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overall:  91%|█████████▏| 3658/4000 [18:12<01:06,  5.11it/s]

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overall:  91%|█████████▏| 3659/4000 [18:12<01:09,  4.94it/s]

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overall:  92%|█████████▏| 3660/4000 [18:12<01:26,  3.94it/s]

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overall:  92%|█████████▏| 3661/4000 [18:12<01:20,  4.20it/s]

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overall:  92%|█████████▏| 3662/4000 [18:13<01:17,  4.35it/s]

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overall:  92%|█████████▏| 3664/4000 [18:13<01:05,  5.17it/s]

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overall:  92%|█████████▏| 3665/4000 [18:13<01:06,  5.03it/s]

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overall:  92%|█████████▏| 3666/4000 [18:13<01:07,  4.96it/s]

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overall:  92%|█████████▏| 3668/4000 [18:13<00:48,  6.85it/s]

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train:  14%|█▍        | 484/3515 [01:43<10:28,  4.82it/s]train loss: 3.1682562828063965
train per: 0.8096769293092971
train loss: 3.1631200313568115
train per: 0.8134300107742931
train loss: 3.147657632827759
train per: 0.8081103785352443
train loss: 3.1716856956481934
train per: 0.8066430260047281
train loss: 3.2038731575012207
train per: 0.8133732281867282
train loss: 3.167264223098755
train per: 0.8121464721643347
train loss: 3.159183979034424
train per: 0.8103270223752151
train loss: 3.1757209300994873
train per: 0.8077492470263924
train loss: 3.241680145263672
train per: 0.8252751171795394
train loss: 3.189427614212036
train per: 0.8137487738138263
train loss: 3.192505121231079
train per: 0.8108846724447568
train loss: 3.1858842372894287
train per: 0.8087460954930834
train loss: 3.17378306388855
train per: 0.8152741020793951
train loss: 3.1933436393737793
train per: 0.8126288861625206
train loss: 3.207920789718628
train per: 0.8164965417941532
train loss: 3.15584659576416
train per: 0.808312387335923
train loss: 3.1643998622894287
train per: 0.8101325057878922
train loss: 3.163536548614502
train per: 0.808337690735371
train loss: 3.166116952896118
train per: 0.8081363793358662
train loss: 3.145888090133667
train per: 0.8071503680336488
train loss: 3.191563367843628
train per: 0.8068783068783069
train loss: 3.144289970397949
train per: 0.8064195896757115
train loss: 3.159099578857422
train per: 0.8077738852744215
train loss: 3.1557776927948
train per: 0.8047558840692473
train loss: 3.1583569049835205
train per: 0.8135186010799029
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 555/2703 [00:00<00:00, 5546.29it/s]


word -> phonemes:  43%|████▎     | 1158/2703 [00:00<00:00, 5830.67it/s]


word -> phonemes:  65%|██████▌   | 1760/2703 [00:00<00:00, 5915.72it/s]


word -> phonemes:  87%|████████▋ | 2352/2703 [00:00<00:00, 5907.13it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5835.76it/s]



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overall: 100%|█████████▉| 3999/4000 [21:15<00:00,  4.82it/s]

train:  14%|█▍        | 484/3515 [03:34<10:28,  4.82it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:15<00:00,  4.82it/s]

train:  14%|█▍        | 484/3515 [03:34<10:28,  4.82it/s]
overall: 100%|██████████| 4000/4000 [21:15<00:00, 30.30s/it]

train:  14%|█▍        | 485/3515 [03:34<25:30:21, 30.30s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:35<22:24,  2.25it/s]   

overall: 100%|██████████| 4000/4000 [21:15<00:00,  3.13it/s]
dev loss: 3.2881834506988525
dev per: 0.8170915712799167
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt