/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k {'model_config': None, 'refresh': False}
Loading model from Local mert_test_8x_400k
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:  10%|█         | 367/3515 [00:00<00:00, 3660.69it/s]

word -> phonemes:  21%|██        | 734/3515 [00:00<00:00, 3451.71it/s]

word -> phonemes:  32%|███▏      | 1140/3515 [00:00<00:00, 3719.49it/s]

word -> phonemes:  44%|████▍     | 1545/3515 [00:00<00:00, 3846.12it/s]

word -> phonemes:  55%|█████▍    | 1931/3515 [00:00<00:00, 3735.37it/s]

word -> phonemes:  66%|██████▋   | 2330/3515 [00:00<00:00, 3817.44it/s]

word -> phonemes:  78%|███████▊  | 2755/3515 [00:00<00:00, 3953.89it/s]

word -> phonemes:  90%|████████▉ | 3152/3515 [00:00<00:00, 3952.38it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3868.81it/s]


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overall:   3%|▎         | 124/4000 [00:29<15:25,  4.19it/s]

train:   4%|▎         | 124/3515 [00:26<13:29,  4.19it/s]
overall:   3%|▎         | 125/4000 [00:29<17:09,  3.76it/s]

train:   4%|▎         | 125/3515 [00:27<15:00,  3.76it/s]
overall:   3%|▎         | 126/4000 [00:29<15:59,  4.04it/s]

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overall:   3%|▎         | 127/4000 [00:29<14:44,  4.38it/s]

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overall:   3%|▎         | 128/4000 [00:29<14:18,  4.51it/s]

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overall:   3%|▎         | 129/4000 [00:30<13:46,  4.68it/s]

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overall:   3%|▎         | 130/4000 [00:30<12:40,  5.09it/s]

train:   4%|▎         | 130/3515 [00:28<11:05,  5.09it/s]
overall:   3%|▎         | 131/4000 [00:30<12:52,  5.01it/s]

train:   4%|▎         | 131/3515 [00:28<11:15,  5.01it/s]
overall:   3%|▎         | 132/4000 [00:30<12:09,  5.30it/s]

train:   4%|▍         | 132/3515 [00:28<10:38,  5.30it/s]
overall:   3%|▎         | 133/4000 [00:30<12:26,  5.18it/s]

train:   4%|▍         | 133/3515 [00:28<10:52,  5.18it/s]
overall:   3%|▎         | 134/4000 [00:31<12:37,  5.10it/s]

train:   4%|▍         | 134/3515 [00:28<11:02,  5.10it/s]
overall:   3%|▎         | 135/4000 [00:31<12:44,  5.06it/s]

train:   4%|▍         | 135/3515 [00:29<11:08,  5.06it/s]
overall:   3%|▎         | 136/4000 [00:31<12:47,  5.03it/s]

train:   4%|▍         | 136/3515 [00:29<11:11,  5.03it/s]
overall:   3%|▎         | 137/4000 [00:31<12:43,  5.06it/s]

train:   4%|▍         | 137/3515 [00:29<11:07,  5.06it/s]
overall:   3%|▎         | 138/4000 [00:31<12:15,  5.25it/s]

train:   4%|▍         | 138/3515 [00:29<10:42,  5.25it/s]
overall:   3%|▎         | 139/4000 [00:32<11:52,  5.42it/s]

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overall:   4%|▎         | 140/4000 [00:32<12:10,  5.28it/s]

train:   4%|▍         | 140/3515 [00:30<10:38,  5.28it/s]
overall:   4%|▎         | 141/4000 [00:32<10:32,  6.10it/s]

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overall:   4%|▎         | 142/4000 [00:32<11:21,  5.66it/s]

train:   4%|▍         | 142/3515 [00:30<09:55,  5.66it/s]
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train:   4%|▍         | 143/3515 [00:30<10:28,  5.36it/s]
overall:   4%|▎         | 144/4000 [00:32<12:15,  5.24it/s]

train:   4%|▍         | 144/3515 [00:30<10:42,  5.24it/s]
overall:   4%|▎         | 146/4000 [00:33<13:23,  4.79it/s]

train:   4%|▍         | 146/3515 [00:31<11:42,  4.79it/s]
overall:   4%|▎         | 147/4000 [00:33<12:43,  5.05it/s]

train:   4%|▍         | 147/3515 [00:31<11:06,  5.05it/s]
overall:   4%|▎         | 148/4000 [00:33<12:16,  5.23it/s]

train:   4%|▍         | 148/3515 [00:31<10:43,  5.23it/s]
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train:   4%|▍         | 149/3515 [00:31<13:31,  4.15it/s]
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train:   4%|▍         | 151/3515 [00:32<10:58,  5.11it/s]
overall:   4%|▍         | 152/4000 [00:34<12:19,  5.20it/s]

train:   4%|▍         | 152/3515 [00:32<10:46,  5.20it/s]
overall:   4%|▍         | 153/4000 [00:34<12:29,  5.13it/s]

train:   4%|▍         | 153/3515 [00:32<10:55,  5.13it/s]
overall:   4%|▍         | 154/4000 [00:34<12:28,  5.14it/s]

train:   4%|▍         | 154/3515 [00:32<10:54,  5.14it/s]
overall:   4%|▍         | 155/4000 [00:35<12:32,  5.11it/s]

train:   4%|▍         | 155/3515 [00:33<10:58,  5.11it/s]
overall:   4%|▍         | 157/4000 [00:35<11:03,  5.80it/s]

train:   4%|▍         | 157/3515 [00:33<09:39,  5.79it/s]
overall:   4%|▍         | 158/4000 [00:35<11:26,  5.60it/s]

train:   4%|▍         | 158/3515 [00:33<09:59,  5.60it/s]
overall:   4%|▍         | 159/4000 [00:35<11:57,  5.36it/s]

train:   5%|▍         | 159/3515 [00:33<10:26,  5.36it/s]
overall:   4%|▍         | 160/4000 [00:36<12:11,  5.25it/s]

train:   5%|▍         | 160/3515 [00:33<10:39,  5.25it/s]
overall:   4%|▍         | 161/4000 [00:36<12:21,  5.18it/s]

train:   5%|▍         | 161/3515 [00:34<10:47,  5.18it/s]
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train:   5%|▍         | 162/3515 [00:34<10:47,  5.18it/s]
overall:   4%|▍         | 163/4000 [00:36<12:31,  5.11it/s]

train:   5%|▍         | 163/3515 [00:34<10:56,  5.11it/s]
overall:   4%|▍         | 164/4000 [00:36<12:35,  5.08it/s]

train:   5%|▍         | 164/3515 [00:34<10:59,  5.08it/s]
overall:   4%|▍         | 165/4000 [00:37<12:31,  5.10it/s]

train:   5%|▍         | 165/3515 [00:34<10:56,  5.10it/s]
overall:   4%|▍         | 166/4000 [00:37<12:28,  5.12it/s]

train:   5%|▍         | 166/3515 [00:35<10:53,  5.12it/s]
overall:   4%|▍         | 167/4000 [00:37<12:38,  5.05it/s]

train:   5%|▍         | 167/3515 [00:35<11:02,  5.05it/s]
overall:   4%|▍         | 168/4000 [00:37<12:44,  5.01it/s]

train:   5%|▍         | 168/3515 [00:35<11:07,  5.01it/s]
overall:   4%|▍         | 169/4000 [00:37<12:56,  4.93it/s]

train:   5%|▍         | 169/3515 [00:35<11:18,  4.93it/s]
overall:   4%|▍         | 170/4000 [00:38<16:32,  3.86it/s]

train:   5%|▍         | 170/3515 [00:36<14:26,  3.86it/s]
overall:   4%|▍         | 171/4000 [00:38<15:03,  4.24it/s]

train:   5%|▍         | 171/3515 [00:36<13:09,  4.24it/s]
overall:   4%|▍         | 173/4000 [00:38<13:21,  4.78it/s]

train:   5%|▍         | 173/3515 [00:36<11:39,  4.78it/s]
overall:   4%|▍         | 174/4000 [00:39<13:11,  4.83it/s]

train:   5%|▍         | 174/3515 [00:36<11:31,  4.83it/s]
overall:   4%|▍         | 175/4000 [00:39<13:09,  4.84it/s]

train:   5%|▍         | 175/3515 [00:37<11:29,  4.84it/s]
overall:   4%|▍         | 176/4000 [00:39<13:03,  4.88it/s]

train:   5%|▌         | 176/3515 [00:37<11:23,  4.88it/s]
overall:   4%|▍         | 177/4000 [00:39<13:04,  4.88it/s]

train:   5%|▌         | 177/3515 [00:37<11:24,  4.88it/s]
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train:   5%|▌         | 178/3515 [00:37<11:24,  4.87it/s]
overall:   4%|▍         | 179/4000 [00:40<12:59,  4.90it/s]

train:   5%|▌         | 179/3515 [00:37<11:20,  4.90it/s]
overall:   4%|▍         | 180/4000 [00:40<12:44,  4.99it/s]

train:   5%|▌         | 180/3515 [00:38<11:07,  4.99it/s]
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train:   5%|▌         | 181/3515 [00:38<11:08,  4.98it/s]
overall:   5%|▍         | 182/4000 [00:40<12:37,  5.04it/s]

train:   5%|▌         | 182/3515 [00:38<11:01,  5.04it/s]
overall:   5%|▍         | 183/4000 [00:40<12:42,  5.01it/s]

train:   5%|▌         | 183/3515 [00:38<11:05,  5.01it/s]
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train:   5%|▌         | 184/3515 [00:38<09:47,  5.67it/s]
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train:   5%|▌         | 185/3515 [00:38<09:57,  5.57it/s]
overall:   5%|▍         | 186/4000 [00:41<11:57,  5.32it/s]

train:   5%|▌         | 186/3515 [00:39<10:25,  5.32it/s]
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train:   5%|▌         | 187/3515 [00:39<10:31,  5.27it/s]
overall:   5%|▍         | 188/4000 [00:41<12:04,  5.26it/s]

train:   5%|▌         | 188/3515 [00:39<10:32,  5.26it/s]
overall:   5%|▍         | 189/4000 [00:41<12:16,  5.18it/s]

train:   5%|▌         | 189/3515 [00:39<10:42,  5.18it/s]
overall:   5%|▍         | 190/4000 [00:42<12:25,  5.11it/s]

train:   5%|▌         | 190/3515 [00:39<10:50,  5.11it/s]
overall:   5%|▍         | 191/4000 [00:42<12:29,  5.08it/s]

train:   5%|▌         | 191/3515 [00:40<10:53,  5.08it/s]
overall:   5%|▍         | 192/4000 [00:42<12:30,  5.08it/s]

train:   5%|▌         | 192/3515 [00:40<10:54,  5.08it/s]
overall:   5%|▍         | 193/4000 [00:42<12:34,  5.05it/s]

train:   5%|▌         | 193/3515 [00:40<10:58,  5.05it/s]
overall:   5%|▍         | 194/4000 [00:43<16:47,  3.78it/s]

train:   6%|▌         | 194/3515 [00:40<14:38,  3.78it/s]
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train:   6%|▌         | 195/3515 [00:41<12:57,  4.27it/s]
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train:   6%|▌         | 196/3515 [00:41<10:49,  5.11it/s]
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train:   6%|▌         | 197/3515 [00:41<12:57,  4.27it/s]
overall:   5%|▍         | 198/4000 [00:43<14:16,  4.44it/s]

train:   6%|▌         | 198/3515 [00:41<12:27,  4.44it/s]
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train:   6%|▌         | 200/3515 [00:42<10:26,  5.29it/s]
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train:   6%|▌         | 201/3515 [00:42<10:42,  5.16it/s]
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train:   6%|▌         | 202/3515 [00:42<10:55,  5.06it/s]
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train:   6%|▌         | 203/3515 [00:42<10:59,  5.02it/s]
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train:   6%|▌         | 206/3515 [00:43<09:42,  5.68it/s]
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train:   6%|▌         | 207/3515 [00:43<09:56,  5.55it/s]
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train:   6%|▌         | 208/3515 [00:43<10:20,  5.33it/s]
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train:   6%|▌         | 209/3515 [00:43<10:49,  5.09it/s]
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train:   6%|▌         | 210/3515 [00:43<10:55,  5.04it/s]
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train:   6%|▋         | 223/3515 [00:46<11:21,  4.83it/s]
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train:   6%|▋         | 224/3515 [00:46<11:25,  4.80it/s]
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train:   6%|▋         | 225/3515 [00:47<11:37,  4.72it/s]
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train:   6%|▋         | 226/3515 [00:47<11:38,  4.71it/s]
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train:   6%|▋         | 227/3515 [00:47<11:27,  4.78it/s]
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train:   6%|▋         | 228/3515 [00:47<11:19,  4.84it/s]
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train:   7%|▋         | 229/3515 [00:47<11:14,  4.87it/s]
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overall:  11%|█         | 422/4000 [01:30<12:19,  4.84it/s]

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overall:  11%|█         | 423/4000 [01:30<12:14,  4.87it/s]

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overall:  11%|█         | 448/4000 [01:36<12:15,  4.83it/s]

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overall:  13%|█▎        | 510/4000 [01:49<12:50,  4.53it/s]

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overall:  13%|█▎        | 511/4000 [01:49<12:24,  4.69it/s]

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overall:  13%|█▎        | 512/4000 [01:49<12:12,  4.76it/s]

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overall:  13%|█▎        | 513/4000 [01:49<11:57,  4.86it/s]

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overall:  13%|█▎        | 514/4000 [01:50<11:53,  4.88it/s]

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overall:  13%|█▎        | 515/4000 [01:50<11:53,  4.89it/s]

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overall:  13%|█▎        | 516/4000 [01:50<11:55,  4.87it/s]

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overall:  13%|█▎        | 517/4000 [01:50<10:55,  5.32it/s]

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overall:  13%|█▎        | 518/4000 [01:50<11:15,  5.15it/s]

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overall:  13%|█▎        | 519/4000 [01:50<11:26,  5.07it/s]

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overall:  13%|█▎        | 520/4000 [01:51<11:58,  4.84it/s]

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overall:  13%|█▎        | 521/4000 [01:51<15:38,  3.71it/s]

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overall:  13%|█▎        | 522/4000 [01:51<14:36,  3.97it/s]

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overall:  13%|█▎        | 523/4000 [01:52<13:01,  4.45it/s]

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overall:  13%|█▎        | 524/4000 [01:52<12:39,  4.58it/s]

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overall:  13%|█▎        | 526/4000 [01:52<12:24,  4.67it/s]

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overall:  13%|█▎        | 527/4000 [01:52<12:06,  4.78it/s]

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overall:  13%|█▎        | 528/4000 [01:53<11:48,  4.90it/s]

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overall:  13%|█▎        | 529/4000 [01:53<11:45,  4.92it/s]

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overall:  13%|█▎        | 530/4000 [01:53<11:49,  4.89it/s]

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overall:  13%|█▎        | 531/4000 [01:53<11:38,  4.96it/s]

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overall:  13%|█▎        | 532/4000 [01:53<11:42,  4.93it/s]

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overall:  13%|█▎        | 533/4000 [01:54<14:25,  4.01it/s]

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overall:  13%|█▎        | 534/4000 [01:54<12:13,  4.73it/s]

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overall:  13%|█▎        | 535/4000 [01:54<12:03,  4.79it/s]

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overall:  13%|█▎        | 536/4000 [01:54<11:24,  5.06it/s]

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overall:  13%|█▎        | 537/4000 [01:54<11:32,  5.00it/s]

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overall:  13%|█▎        | 538/4000 [01:55<10:37,  5.43it/s]

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overall:  13%|█▎        | 539/4000 [01:55<10:56,  5.27it/s]

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overall:  14%|█▎        | 540/4000 [01:55<12:52,  4.48it/s]

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overall:  14%|█▎        | 541/4000 [01:55<12:43,  4.53it/s]

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overall:  14%|█▎        | 542/4000 [01:55<12:57,  4.45it/s]

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overall:  14%|█▎        | 543/4000 [01:56<12:35,  4.58it/s]

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overall:  14%|█▎        | 544/4000 [01:56<12:38,  4.56it/s]

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overall:  14%|█▎        | 545/4000 [01:56<14:22,  4.00it/s]

train:  16%|█▌        | 545/3515 [01:54<12:21,  4.00it/s]
overall:  14%|█▎        | 546/4000 [01:56<13:43,  4.20it/s]

train:  16%|█▌        | 546/3515 [01:54<11:47,  4.20it/s]
overall:  14%|█▎        | 547/4000 [01:57<13:00,  4.42it/s]

train:  16%|█▌        | 547/3515 [01:54<11:11,  4.42it/s]
overall:  14%|█▎        | 548/4000 [01:57<12:39,  4.55it/s]

train:  16%|█▌        | 548/3515 [01:55<10:52,  4.55it/s]
overall:  14%|█▎        | 549/4000 [01:57<12:23,  4.64it/s]

train:  16%|█▌        | 549/3515 [01:55<10:39,  4.64it/s]
overall:  14%|█▍        | 550/4000 [01:57<11:53,  4.83it/s]

train:  16%|█▌        | 550/3515 [01:55<10:13,  4.83it/s]
overall:  14%|█▍        | 551/4000 [01:57<11:56,  4.82it/s]

train:  16%|█▌        | 551/3515 [01:55<10:15,  4.82it/s]
overall:  14%|█▍        | 552/4000 [01:58<11:50,  4.86it/s]

train:  16%|█▌        | 552/3515 [01:55<10:10,  4.86it/s]
overall:  14%|█▍        | 553/4000 [01:58<11:45,  4.88it/s]

train:  16%|█▌        | 553/3515 [01:56<10:06,  4.88it/s]
overall:  14%|█▍        | 554/4000 [01:58<11:47,  4.87it/s]

train:  16%|█▌        | 554/3515 [01:56<10:07,  4.87it/s]
overall:  14%|█▍        | 555/4000 [01:58<11:52,  4.84it/s]

train:  16%|█▌        | 555/3515 [01:56<10:12,  4.84it/s]
overall:  14%|█▍        | 556/4000 [01:58<11:50,  4.85it/s]

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overall:  14%|█▍        | 557/4000 [01:59<13:26,  4.27it/s]

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overall:  14%|█▍        | 558/4000 [01:59<13:30,  4.24it/s]

train:  16%|█▌        | 558/3515 [01:57<11:36,  4.24it/s]
overall:  14%|█▍        | 559/4000 [01:59<13:06,  4.37it/s]

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overall:  14%|█▍        | 560/4000 [01:59<12:50,  4.47it/s]

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overall:  14%|█▍        | 561/4000 [02:00<12:24,  4.62it/s]

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overall:  14%|█▍        | 562/4000 [02:00<12:03,  4.76it/s]

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overall:  14%|█▍        | 563/4000 [02:00<12:08,  4.72it/s]

train:  16%|█▌        | 563/3515 [01:58<10:25,  4.72it/s]
overall:  14%|█▍        | 564/4000 [02:00<13:28,  4.25it/s]

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overall:  14%|█▍        | 565/4000 [02:01<12:51,  4.45it/s]

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overall:  14%|█▍        | 566/4000 [02:01<12:32,  4.57it/s]

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overall:  14%|█▍        | 567/4000 [02:01<11:04,  5.17it/s]

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overall:  14%|█▍        | 568/4000 [02:01<11:28,  4.98it/s]

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overall:  14%|█▍        | 569/4000 [02:01<14:06,  4.05it/s]

train:  16%|█▌        | 569/3515 [01:59<12:06,  4.05it/s]
overall:  14%|█▍        | 571/4000 [02:02<10:31,  5.43it/s]

train:  16%|█▌        | 571/3515 [01:59<09:01,  5.43it/s]
overall:  14%|█▍        | 572/4000 [02:02<10:59,  5.19it/s]

train:  16%|█▋        | 572/3515 [02:00<09:26,  5.19it/s]
overall:  14%|█▍        | 573/4000 [02:02<10:56,  5.22it/s]

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overall:  14%|█▍        | 574/4000 [02:02<11:03,  5.16it/s]

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overall:  14%|█▍        | 575/4000 [02:02<10:10,  5.61it/s]

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overall:  14%|█▍        | 576/4000 [02:03<10:50,  5.27it/s]

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overall:  14%|█▍        | 577/4000 [02:03<09:42,  5.88it/s]

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overall:  14%|█▍        | 578/4000 [02:03<10:26,  5.46it/s]

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overall:  14%|█▍        | 579/4000 [02:03<10:58,  5.20it/s]

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overall:  14%|█▍        | 580/4000 [02:03<10:58,  5.19it/s]

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overall:  15%|█▍        | 581/4000 [02:04<13:37,  4.18it/s]

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overall:  15%|█▍        | 586/4000 [02:05<12:09,  4.68it/s]

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overall:  15%|█▍        | 588/4000 [02:05<13:56,  4.08it/s]

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overall:  15%|█▍        | 589/4000 [02:05<13:16,  4.28it/s]

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overall:  15%|█▍        | 590/4000 [02:06<13:08,  4.32it/s]

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overall:  15%|█▍        | 597/4000 [02:07<11:59,  4.73it/s]

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overall:  15%|█▌        | 601/4000 [02:08<11:26,  4.95it/s]

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overall:  15%|█▌        | 602/4000 [02:08<11:57,  4.73it/s]

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overall:  15%|█▌        | 603/4000 [02:08<11:10,  5.07it/s]

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overall:  15%|█▌        | 605/4000 [02:09<14:32,  3.89it/s]

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train:  28%|██▊       | 994/3515 [03:28<08:34,  4.90it/s]
overall:  25%|██▍       | 995/4000 [03:30<10:17,  4.87it/s]

train:  28%|██▊       | 995/3515 [03:28<08:37,  4.87it/s]
overall:  25%|██▍       | 996/4000 [03:30<11:09,  4.49it/s]

train:  28%|██▊       | 996/3515 [03:28<09:21,  4.49it/s]
overall:  25%|██▍       | 997/4000 [03:31<11:00,  4.54it/s]

train:  28%|██▊       | 997/3515 [03:28<09:14,  4.54it/s]
overall:  25%|██▍       | 998/4000 [03:31<10:46,  4.64it/s]

train:  28%|██▊       | 998/3515 [03:29<09:02,  4.64it/s]
overall:  25%|██▍       | 999/4000 [03:31<10:29,  4.77it/s]

train:  28%|██▊       | 999/3515 [03:29<08:47,  4.77it/s]train loss: 4.202077865600586
train per: 0.8707776378880823
train loss: 2.7540090084075928
train per: 0.692232935219048
train loss: 2.508455753326416
train per: 0.6549593749188797
train loss: 2.4265084266662598
train per: 0.6290967429779215
train loss: 2.4131577014923096
train per: 0.6250174118958072
train loss: 2.334866762161255
train per: 0.6126378058617908
train loss: 2.2964680194854736
train per: 0.60210752268514
train loss: 2.378148078918457
train per: 0.6166684383969384
train loss: 2.278502941131592
train per: 0.5982190647657049
train loss: 2.2488832473754883
train per: 0.592052617155385
train loss: 2.2648160457611084
train per: 0.6036175982728206
train loss: 2.2787108421325684
train per: 0.601005846794173
train loss: 2.32387638092041
train per: 0.6087120320226042
train loss: 2.267881393432617
train per: 0.5925063268459833
train loss: 2.204956531524658
train per: 0.5828683101410375
train loss: 2.2351973056793213
train per: 0.5933690088413216
train loss: 2.19079852104187
train per: 0.5852713178294574
train loss: 2.213222026824951
train per: 0.5887189239072681
train loss: 2.234506368637085
train per: 0.5862277923151081
train loss: 2.201322317123413
train per: 0.5836312370978299
train loss: 2.179811477661133
train per: 0.5783619817997978
train loss: 2.229936361312866
train per: 0.5895175669906326
train loss: 2.2291290760040283
train per: 0.5787254600553384
train loss: 2.2278683185577393
train per: 0.5849405548216645
train loss: 2.1972618103027344
train per: 0.5763520442284542
train loss: 2.151395797729492
train per: 0.571078114912847
train loss: 2.1992924213409424
train per: 0.575808359621451
train loss: 2.158348321914673
train per: 0.5714122980885334
train loss: 2.157862424850464
train per: 0.5644410749764718
train loss: 2.1844656467437744
train per: 0.5794754737617994
train loss: 2.203697919845581
train per: 0.5748012584960492
train loss: 2.1457436084747314
train per: 0.5663057855288297
train loss: 2.196652889251709
train per: 0.5776471917730817
train loss: 2.1769347190856934
train per: 0.5768151343485266
train loss: 2.15328311920166
train per: 0.5738973995529629
train loss: 2.1641018390655518
train per: 0.5777504969016719
train loss: 2.21071195602417
train per: 0.5758044844732151
train loss: 2.198082685470581
train per: 0.5736804049168475
train loss: 2.1872613430023193
train per: 0.5745072983732246
train loss: 2.2065815925598145
train per: 0.5791502184018126
train loss: 2.1760928630828857
train per: 0.5782896478686789
train loss: 2.160698890686035
train per: 0.5729695778032662
train loss: 2.170546531677246
train per: 0.5676972418216806
train loss: 2.1989665031433105
train per: 0.578560420403729
train loss: 2.1399800777435303
train per: 0.5630124889617762
train loss: 2.1477832794189453
train per: 0.5662551440329218
train loss: 2.187592029571533
train per: 0.5782574974146846
train loss: 2.173109292984009
train per: 0.5738505979860155
train loss: 2.149418354034424
train per: 0.5668786840940332
train loss: 2.122736930847168
train per: 0.5623440472367023
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 347/2703 [00:00<00:00, 3467.23it/s]


word -> phonemes:  26%|██▌       | 694/2703 [00:00<00:00, 3361.62it/s]


word -> phonemes:  39%|███▉      | 1055/2703 [00:00<00:00, 3435.51it/s]


word -> phonemes:  52%|█████▏    | 1399/2703 [00:00<00:00, 3258.38it/s]


word -> phonemes:  64%|██████▍   | 1726/2703 [00:00<00:00, 3092.55it/s]


word -> phonemes:  77%|███████▋  | 2086/2703 [00:00<00:00, 3232.69it/s]


word -> phonemes:  90%|████████▉ | 2422/2703 [00:00<00:00, 3242.45it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3080.56it/s]



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overall:  46%|████▋     | 1853/4000 [09:28<08:45,  4.09it/s]

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overall:  46%|████▋     | 1854/4000 [09:28<08:27,  4.23it/s]

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overall:  46%|████▋     | 1855/4000 [09:28<07:58,  4.48it/s]

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overall:  46%|████▋     | 1856/4000 [09:28<08:21,  4.27it/s]

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overall:  46%|████▋     | 1857/4000 [09:28<08:11,  4.36it/s]

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overall:  46%|████▋     | 1858/4000 [09:29<07:53,  4.53it/s]

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overall:  47%|████▋     | 1866/4000 [09:30<07:08,  4.98it/s]

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overall:  47%|████▋     | 1872/4000 [09:32<07:23,  4.80it/s]

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overall:  47%|████▋     | 1873/4000 [09:32<07:17,  4.87it/s]

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overall:  47%|████▋     | 1874/4000 [09:32<07:23,  4.80it/s]

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overall:  47%|████▋     | 1875/4000 [09:32<07:31,  4.71it/s]

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overall:  47%|████▋     | 1876/4000 [09:32<07:36,  4.66it/s]

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overall:  47%|████▋     | 1877/4000 [09:33<08:44,  4.05it/s]

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overall:  47%|████▋     | 1878/4000 [09:33<08:27,  4.18it/s]

train:  53%|█████▎    | 1878/3515 [09:31<06:31,  4.18it/s]
overall:  47%|████▋     | 1879/4000 [09:33<08:00,  4.41it/s]

train:  53%|█████▎    | 1879/3515 [09:31<06:10,  4.41it/s]
overall:  47%|████▋     | 1880/4000 [09:33<08:19,  4.24it/s]

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overall:  47%|████▋     | 1881/4000 [09:34<07:52,  4.48it/s]

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overall:  47%|████▋     | 1882/4000 [09:34<07:49,  4.51it/s]

train:  54%|█████▎    | 1882/3515 [09:32<06:01,  4.52it/s]
overall:  47%|████▋     | 1883/4000 [09:34<07:43,  4.57it/s]

train:  54%|█████▎    | 1883/3515 [09:32<05:57,  4.57it/s]
overall:  47%|████▋     | 1884/4000 [09:34<07:56,  4.44it/s]

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overall:  47%|████▋     | 1885/4000 [09:35<08:00,  4.40it/s]

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overall:  47%|████▋     | 1886/4000 [09:35<07:58,  4.42it/s]

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overall:  47%|████▋     | 1887/4000 [09:35<07:53,  4.46it/s]

train:  54%|█████▎    | 1887/3515 [09:33<06:04,  4.46it/s]
overall:  47%|████▋     | 1888/4000 [09:35<07:55,  4.44it/s]

train:  54%|█████▎    | 1888/3515 [09:33<06:06,  4.44it/s]
overall:  47%|████▋     | 1889/4000 [09:35<07:40,  4.58it/s]

train:  54%|█████▎    | 1889/3515 [09:33<05:54,  4.58it/s]
overall:  47%|████▋     | 1890/4000 [09:36<07:05,  4.96it/s]

train:  54%|█████▍    | 1890/3515 [09:33<05:27,  4.96it/s]
overall:  47%|████▋     | 1891/4000 [09:36<07:16,  4.83it/s]

train:  54%|█████▍    | 1891/3515 [09:34<05:35,  4.83it/s]
overall:  47%|████▋     | 1892/4000 [09:36<07:18,  4.80it/s]

train:  54%|█████▍    | 1892/3515 [09:34<05:37,  4.80it/s]
overall:  47%|████▋     | 1893/4000 [09:36<07:24,  4.74it/s]

train:  54%|█████▍    | 1893/3515 [09:34<05:42,  4.74it/s]
overall:  47%|████▋     | 1894/4000 [09:37<08:15,  4.25it/s]

train:  54%|█████▍    | 1894/3515 [09:34<06:21,  4.25it/s]
overall:  47%|████▋     | 1895/4000 [09:37<07:44,  4.53it/s]

train:  54%|█████▍    | 1895/3515 [09:35<05:57,  4.53it/s]
overall:  47%|████▋     | 1897/4000 [09:37<06:37,  5.28it/s]

train:  54%|█████▍    | 1897/3515 [09:35<05:06,  5.28it/s]
overall:  47%|████▋     | 1898/4000 [09:37<06:52,  5.10it/s]

train:  54%|█████▍    | 1898/3515 [09:35<05:17,  5.10it/s]
overall:  47%|████▋     | 1899/4000 [09:37<07:00,  5.00it/s]

train:  54%|█████▍    | 1899/3515 [09:35<05:23,  5.00it/s]
overall:  48%|████▊     | 1900/4000 [09:38<07:59,  4.38it/s]

train:  54%|█████▍    | 1900/3515 [09:36<06:08,  4.38it/s]
overall:  48%|████▊     | 1901/4000 [09:38<08:48,  3.97it/s]

train:  54%|█████▍    | 1901/3515 [09:36<06:46,  3.97it/s]
overall:  48%|████▊     | 1902/4000 [09:38<07:36,  4.60it/s]

train:  54%|█████▍    | 1902/3515 [09:36<05:50,  4.60it/s]
overall:  48%|████▊     | 1903/4000 [09:38<07:42,  4.54it/s]

train:  54%|█████▍    | 1903/3515 [09:36<05:55,  4.54it/s]
overall:  48%|████▊     | 1904/4000 [09:39<07:58,  4.38it/s]

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overall:  48%|████▊     | 1905/4000 [09:39<06:44,  5.18it/s]

train:  54%|█████▍    | 1905/3515 [09:37<05:10,  5.18it/s]
overall:  48%|████▊     | 1906/4000 [09:39<06:58,  5.00it/s]

train:  54%|█████▍    | 1906/3515 [09:37<05:21,  5.00it/s]
overall:  48%|████▊     | 1907/4000 [09:39<06:23,  5.45it/s]

train:  54%|█████▍    | 1907/3515 [09:37<04:54,  5.45it/s]
overall:  48%|████▊     | 1908/4000 [09:39<07:06,  4.90it/s]

train:  54%|█████▍    | 1908/3515 [09:37<05:27,  4.90it/s]
overall:  48%|████▊     | 1909/4000 [09:40<07:13,  4.83it/s]

train:  54%|█████▍    | 1909/3515 [09:37<05:32,  4.83it/s]
overall:  48%|████▊     | 1910/4000 [09:40<07:27,  4.67it/s]

train:  54%|█████▍    | 1910/3515 [09:38<05:43,  4.67it/s]
overall:  48%|████▊     | 1911/4000 [09:40<06:39,  5.23it/s]

train:  54%|█████▍    | 1911/3515 [09:38<05:06,  5.23it/s]
overall:  48%|████▊     | 1912/4000 [09:40<05:44,  6.06it/s]

train:  54%|█████▍    | 1912/3515 [09:38<04:24,  6.06it/s]
overall:  48%|████▊     | 1913/4000 [09:40<06:20,  5.48it/s]

train:  54%|█████▍    | 1913/3515 [09:38<04:52,  5.48it/s]
overall:  48%|████▊     | 1914/4000 [09:40<06:19,  5.50it/s]

train:  54%|█████▍    | 1914/3515 [09:38<04:51,  5.50it/s]
overall:  48%|████▊     | 1915/4000 [09:41<06:40,  5.20it/s]

train:  54%|█████▍    | 1915/3515 [09:38<05:07,  5.20it/s]
overall:  48%|████▊     | 1916/4000 [09:41<06:08,  5.66it/s]

train:  55%|█████▍    | 1916/3515 [09:39<04:42,  5.66it/s]
overall:  48%|████▊     | 1917/4000 [09:41<06:38,  5.22it/s]

train:  55%|█████▍    | 1917/3515 [09:39<05:05,  5.22it/s]
overall:  48%|████▊     | 1918/4000 [09:41<07:36,  4.56it/s]

train:  55%|█████▍    | 1918/3515 [09:39<05:50,  4.56it/s]
overall:  48%|████▊     | 1919/4000 [09:42<07:31,  4.61it/s]

train:  55%|█████▍    | 1919/3515 [09:39<05:46,  4.61it/s]
overall:  48%|████▊     | 1920/4000 [09:42<07:29,  4.63it/s]

train:  55%|█████▍    | 1920/3515 [09:40<05:44,  4.63it/s]
overall:  48%|████▊     | 1921/4000 [09:42<07:30,  4.61it/s]

train:  55%|█████▍    | 1921/3515 [09:40<05:45,  4.61it/s]
overall:  48%|████▊     | 1922/4000 [09:42<07:33,  4.58it/s]

train:  55%|█████▍    | 1922/3515 [09:40<05:47,  4.58it/s]
overall:  48%|████▊     | 1923/4000 [09:42<07:17,  4.75it/s]

train:  55%|█████▍    | 1923/3515 [09:40<05:34,  4.75it/s]
overall:  48%|████▊     | 1924/4000 [09:43<08:02,  4.30it/s]

train:  55%|█████▍    | 1924/3515 [09:40<06:09,  4.30it/s]
overall:  48%|████▊     | 1925/4000 [09:43<08:26,  4.10it/s]

train:  55%|█████▍    | 1925/3515 [09:41<06:28,  4.10it/s]
overall:  48%|████▊     | 1926/4000 [09:43<07:59,  4.33it/s]

train:  55%|█████▍    | 1926/3515 [09:41<06:07,  4.33it/s]
overall:  48%|████▊     | 1927/4000 [09:43<07:45,  4.45it/s]

train:  55%|█████▍    | 1927/3515 [09:41<05:56,  4.45it/s]
overall:  48%|████▊     | 1928/4000 [09:43<06:41,  5.17it/s]

train:  55%|█████▍    | 1928/3515 [09:41<05:07,  5.17it/s]
overall:  48%|████▊     | 1929/4000 [09:44<06:56,  4.97it/s]

train:  55%|█████▍    | 1929/3515 [09:42<05:18,  4.97it/s]
overall:  48%|████▊     | 1930/4000 [09:44<07:02,  4.90it/s]

train:  55%|█████▍    | 1930/3515 [09:42<05:23,  4.90it/s]
overall:  48%|████▊     | 1931/4000 [09:44<07:06,  4.85it/s]

train:  55%|█████▍    | 1931/3515 [09:42<05:26,  4.85it/s]
overall:  48%|████▊     | 1932/4000 [09:44<07:38,  4.51it/s]

train:  55%|█████▍    | 1932/3515 [09:42<05:51,  4.51it/s]
overall:  48%|████▊     | 1933/4000 [09:45<07:34,  4.54it/s]

train:  55%|█████▍    | 1933/3515 [09:42<05:48,  4.54it/s]
overall:  48%|████▊     | 1934/4000 [09:45<07:28,  4.61it/s]

train:  55%|█████▌    | 1934/3515 [09:43<05:43,  4.61it/s]
overall:  48%|████▊     | 1935/4000 [09:45<07:28,  4.61it/s]

train:  55%|█████▌    | 1935/3515 [09:43<05:42,  4.61it/s]
overall:  48%|████▊     | 1936/4000 [09:45<06:20,  5.42it/s]

train:  55%|█████▌    | 1936/3515 [09:43<04:51,  5.42it/s]
overall:  48%|████▊     | 1937/4000 [09:45<06:24,  5.37it/s]

train:  55%|█████▌    | 1937/3515 [09:43<04:53,  5.37it/s]
overall:  48%|████▊     | 1938/4000 [09:46<06:28,  5.31it/s]

train:  55%|█████▌    | 1938/3515 [09:43<04:56,  5.31it/s]
overall:  48%|████▊     | 1939/4000 [09:46<06:44,  5.09it/s]

train:  55%|█████▌    | 1939/3515 [09:44<05:09,  5.09it/s]
overall:  48%|████▊     | 1940/4000 [09:46<06:45,  5.08it/s]

train:  55%|█████▌    | 1940/3515 [09:44<05:10,  5.08it/s]
overall:  49%|████▊     | 1941/4000 [09:46<06:36,  5.19it/s]

train:  55%|█████▌    | 1941/3515 [09:44<05:03,  5.19it/s]
overall:  49%|████▊     | 1942/4000 [09:46<08:03,  4.26it/s]

train:  55%|█████▌    | 1942/3515 [09:44<06:09,  4.26it/s]
overall:  49%|████▊     | 1943/4000 [09:47<07:51,  4.36it/s]

train:  55%|█████▌    | 1943/3515 [09:44<06:00,  4.36it/s]
overall:  49%|████▊     | 1945/4000 [09:47<06:38,  5.16it/s]

train:  55%|█████▌    | 1945/3515 [09:45<05:04,  5.16it/s]
overall:  49%|████▊     | 1946/4000 [09:47<06:46,  5.06it/s]

train:  55%|█████▌    | 1946/3515 [09:45<05:10,  5.06it/s]
overall:  49%|████▊     | 1948/4000 [09:48<06:43,  5.09it/s]

train:  55%|█████▌    | 1948/3515 [09:45<05:07,  5.09it/s]
overall:  49%|████▊     | 1949/4000 [09:48<07:49,  4.37it/s]

train:  55%|█████▌    | 1949/3515 [09:46<05:58,  4.37it/s]
overall:  49%|████▉     | 1950/4000 [09:48<07:43,  4.43it/s]

train:  55%|█████▌    | 1950/3515 [09:46<05:53,  4.43it/s]
overall:  49%|████▉     | 1951/4000 [09:48<07:38,  4.47it/s]

train:  56%|█████▌    | 1951/3515 [09:46<05:50,  4.47it/s]
overall:  49%|████▉     | 1952/4000 [09:49<07:53,  4.33it/s]

train:  56%|█████▌    | 1952/3515 [09:46<06:01,  4.33it/s]
overall:  49%|████▉     | 1953/4000 [09:49<07:41,  4.44it/s]

train:  56%|█████▌    | 1953/3515 [09:47<05:51,  4.44it/s]
overall:  49%|████▉     | 1954/4000 [09:49<07:33,  4.51it/s]

train:  56%|█████▌    | 1954/3515 [09:47<05:45,  4.51it/s]
overall:  49%|████▉     | 1955/4000 [09:49<07:14,  4.71it/s]

train:  56%|█████▌    | 1955/3515 [09:47<05:31,  4.71it/s]
overall:  49%|████▉     | 1956/4000 [09:49<07:23,  4.61it/s]

train:  56%|█████▌    | 1956/3515 [09:47<05:38,  4.61it/s]
overall:  49%|████▉     | 1957/4000 [09:50<07:18,  4.66it/s]

train:  56%|█████▌    | 1957/3515 [09:47<05:34,  4.66it/s]
overall:  49%|████▉     | 1958/4000 [09:50<07:17,  4.67it/s]

train:  56%|█████▌    | 1958/3515 [09:48<05:33,  4.67it/s]
overall:  49%|████▉     | 1959/4000 [09:50<07:10,  4.74it/s]

train:  56%|█████▌    | 1959/3515 [09:48<05:28,  4.74it/s]
overall:  49%|████▉     | 1960/4000 [09:50<07:11,  4.73it/s]

train:  56%|█████▌    | 1960/3515 [09:48<05:28,  4.73it/s]
overall:  49%|████▉     | 1961/4000 [09:50<07:11,  4.73it/s]

train:  56%|█████▌    | 1961/3515 [09:48<05:28,  4.73it/s]
overall:  49%|████▉     | 1962/4000 [09:51<07:14,  4.69it/s]

train:  56%|█████▌    | 1962/3515 [09:49<05:30,  4.69it/s]
overall:  49%|████▉     | 1963/4000 [09:51<07:16,  4.67it/s]

train:  56%|█████▌    | 1963/3515 [09:49<05:32,  4.67it/s]
overall:  49%|████▉     | 1964/4000 [09:51<07:01,  4.83it/s]

train:  56%|█████▌    | 1964/3515 [09:49<05:21,  4.83it/s]
overall:  49%|████▉     | 1965/4000 [09:51<07:07,  4.76it/s]

train:  56%|█████▌    | 1965/3515 [09:49<05:25,  4.76it/s]
overall:  49%|████▉     | 1966/4000 [09:52<08:09,  4.15it/s]

train:  56%|█████▌    | 1966/3515 [09:49<06:12,  4.15it/s]
overall:  49%|████▉     | 1967/4000 [09:52<07:36,  4.45it/s]

train:  56%|█████▌    | 1967/3515 [09:50<05:47,  4.45it/s]
overall:  49%|████▉     | 1968/4000 [09:52<07:07,  4.76it/s]

train:  56%|█████▌    | 1968/3515 [09:50<05:25,  4.76it/s]
overall:  49%|████▉     | 1969/4000 [09:52<07:14,  4.68it/s]

train:  56%|█████▌    | 1969/3515 [09:50<05:30,  4.68it/s]
overall:  49%|████▉     | 1970/4000 [09:52<07:19,  4.62it/s]

train:  56%|█████▌    | 1970/3515 [09:50<05:34,  4.62it/s]
overall:  49%|████▉     | 1971/4000 [09:53<07:16,  4.65it/s]

train:  56%|█████▌    | 1971/3515 [09:50<05:32,  4.65it/s]
overall:  49%|████▉     | 1972/4000 [09:53<07:46,  4.34it/s]

train:  56%|█████▌    | 1972/3515 [09:51<05:55,  4.34it/s]
overall:  49%|████▉     | 1973/4000 [09:53<08:45,  3.86it/s]

train:  56%|█████▌    | 1973/3515 [09:51<06:39,  3.86it/s]
overall:  49%|████▉     | 1974/4000 [09:53<08:16,  4.08it/s]

train:  56%|█████▌    | 1974/3515 [09:51<06:17,  4.08it/s]
overall:  49%|████▉     | 1975/4000 [09:54<08:03,  4.19it/s]

train:  56%|█████▌    | 1975/3515 [09:51<06:07,  4.19it/s]
overall:  49%|████▉     | 1976/4000 [09:54<08:10,  4.12it/s]

train:  56%|█████▌    | 1976/3515 [09:52<06:13,  4.12it/s]
overall:  49%|████▉     | 1977/4000 [09:54<07:55,  4.25it/s]

train:  56%|█████▌    | 1977/3515 [09:52<06:01,  4.25it/s]
overall:  49%|████▉     | 1978/4000 [09:54<07:32,  4.47it/s]

train:  56%|█████▋    | 1978/3515 [09:52<05:44,  4.47it/s]
overall:  49%|████▉     | 1979/4000 [09:55<06:53,  4.89it/s]

train:  56%|█████▋    | 1979/3515 [09:52<05:14,  4.89it/s]
overall:  50%|████▉     | 1980/4000 [09:55<07:32,  4.47it/s]

train:  56%|█████▋    | 1980/3515 [09:53<05:43,  4.47it/s]
overall:  50%|████▉     | 1981/4000 [09:55<06:44,  4.99it/s]

train:  56%|█████▋    | 1981/3515 [09:53<05:07,  4.99it/s]
overall:  50%|████▉     | 1982/4000 [09:55<06:41,  5.02it/s]

train:  56%|█████▋    | 1982/3515 [09:53<05:05,  5.02it/s]
overall:  50%|████▉     | 1984/4000 [09:55<05:58,  5.62it/s]

train:  56%|█████▋    | 1984/3515 [09:53<04:32,  5.62it/s]
overall:  50%|████▉     | 1985/4000 [09:56<06:15,  5.37it/s]

train:  56%|█████▋    | 1985/3515 [09:53<04:44,  5.37it/s]
overall:  50%|████▉     | 1986/4000 [09:56<05:38,  5.95it/s]

train:  57%|█████▋    | 1986/3515 [09:54<04:17,  5.95it/s]
overall:  50%|████▉     | 1987/4000 [09:56<05:56,  5.64it/s]

train:  57%|█████▋    | 1987/3515 [09:54<04:30,  5.64it/s]
overall:  50%|████▉     | 1988/4000 [09:56<06:28,  5.18it/s]

train:  57%|█████▋    | 1988/3515 [09:54<04:54,  5.18it/s]
overall:  50%|████▉     | 1989/4000 [09:56<06:40,  5.02it/s]

train:  57%|█████▋    | 1989/3515 [09:54<05:03,  5.02it/s]
overall:  50%|████▉     | 1990/4000 [09:57<08:06,  4.13it/s]

train:  57%|█████▋    | 1990/3515 [09:55<06:09,  4.13it/s]
overall:  50%|████▉     | 1991/4000 [09:57<07:49,  4.28it/s]

train:  57%|█████▋    | 1991/3515 [09:55<05:55,  4.28it/s]
overall:  50%|████▉     | 1992/4000 [09:57<06:40,  5.01it/s]

train:  57%|█████▋    | 1992/3515 [09:55<05:03,  5.01it/s]
overall:  50%|████▉     | 1993/4000 [09:57<06:51,  4.88it/s]

train:  57%|█████▋    | 1993/3515 [09:55<05:11,  4.88it/s]
overall:  50%|████▉     | 1994/4000 [09:57<06:49,  4.90it/s]

train:  57%|█████▋    | 1994/3515 [09:55<05:10,  4.90it/s]
overall:  50%|████▉     | 1995/4000 [09:58<06:55,  4.82it/s]

train:  57%|█████▋    | 1995/3515 [09:56<05:15,  4.82it/s]
overall:  50%|████▉     | 1996/4000 [09:58<07:30,  4.45it/s]

train:  57%|█████▋    | 1996/3515 [09:56<05:41,  4.45it/s]
overall:  50%|████▉     | 1997/4000 [09:58<08:26,  3.95it/s]

train:  57%|█████▋    | 1997/3515 [09:56<06:24,  3.95it/s]
overall:  50%|████▉     | 1998/4000 [09:59<07:58,  4.18it/s]

train:  57%|█████▋    | 1998/3515 [09:56<06:02,  4.18it/s]
overall:  50%|████▉     | 1999/4000 [09:59<07:38,  4.36it/s]

train:  57%|█████▋    | 1999/3515 [09:57<05:47,  4.36it/s]dev loss: 2.4043052196502686
dev per: 0.6048178980228929
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.15234637260437
train per: 0.5712986586505671
train loss: 2.1368517875671387
train per: 0.5772470144563168
train loss: 2.190791368484497
train per: 0.5716304942549699
train loss: 2.143144130706787
train per: 0.5734433357489269
train loss: 2.2045953273773193
train per: 0.5726182237600923
train loss: 2.164396286010742
train per: 0.5667744050964961
train loss: 2.1443793773651123
train per: 0.5668826120756673
train loss: 2.148939371109009
train per: 0.5632943185814036
train loss: 2.1474313735961914
train per: 0.5662265859587245
train loss: 2.146038770675659
train per: 0.5657242710343748
train loss: 2.171708822250366
train per: 0.5691583827294324
train loss: 2.1324305534362793
train per: 0.5656006956185692
train loss: 2.153264284133911
train per: 0.563983801569223
train loss: 2.116917133331299
train per: 0.5602807367953839
train loss: 2.132174015045166
train per: 0.562193715768233
train loss: 2.1884500980377197
train per: 0.573686261140603
train loss: 2.157072067260742
train per: 0.5678307359799796
train loss: 2.1052470207214355
train per: 0.5641706002290311
train loss: 2.162998676300049
train per: 0.5692762492544667
train loss: 2.1452841758728027
train per: 0.5633806064798801
train loss: 2.108954429626465
train per: 0.5621304678491695
train loss: 2.1229500770568848
train per: 0.5592624252045427
train loss: 2.0927698612213135
train per: 0.5632101708382996
train loss: 2.1575074195861816
train per: 0.5652907087212616
train loss: 2.182756185531616
train per: 0.5783873083744321
train loss: 2.1589372158050537
train per: 0.5672180105674247
train loss: 2.139346122741699
train per: 0.5636854904079979
train loss: 2.1911792755126953
train per: 0.574659884064829
train loss: 2.1693055629730225
train per: 0.5702929555072362
train loss: 2.164978504180908
train per: 0.571713490754192
train loss: 2.133838415145874
train per: 0.5622162370142363
train loss: 2.179779529571533
train per: 0.5754237494224362
train loss: 2.169389247894287
train per: 0.5722555350553505
train loss: 2.1619327068328857
train per: 0.57202003680229
train loss: 2.098599433898926
train per: 0.5581327991117762
train loss: 2.1238887310028076
train per: 0.5761515489728817
train loss: 2.1810052394866943
train per: 0.5797940114674028
train loss: 2.124422550201416
train per: 0.5669652827753927
train loss: 2.1142308712005615
train per: 0.5628641437517016
train loss: 2.2003891468048096
train per: 0.5708541320022186
train loss: 2.1602795124053955
train per: 0.5637953513464911
train loss: 2.153599739074707
train per: 0.5701280666563802
train loss: 2.1154885292053223
train per: 0.5543467436765585
train loss: 2.0858232975006104
train per: 0.5560257960499798
train loss: 2.1320343017578125
train per: 0.559765071848086
train loss: 2.1303138732910156
train per: 0.5643792337144234
train loss: 2.1250815391540527
train per: 0.562109955423477
train loss: 2.16902232170105
train per: 0.5704816205441988
train loss: 2.074169874191284
train per: 0.548496258519613
train loss: 2.12178373336792
train per: 0.5536245915527048
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 447/2703 [00:00<00:00, 4468.10it/s]


word -> phonemes:  37%|███▋      | 990/2703 [00:00<00:00, 5032.24it/s]


word -> phonemes:  55%|█████▌    | 1494/2703 [00:00<00:00, 4420.83it/s]


word -> phonemes:  72%|███████▏  | 1944/2703 [00:00<00:00, 4392.21it/s]


word -> phonemes:  88%|████████▊ | 2388/2703 [00:00<00:00, 4214.41it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4079.41it/s]



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


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train:  85%|████████▌ | 2999/3515 [16:28<02:00,  4.28it/s]dev loss: 2.3856115341186523
dev per: 0.602117585848075
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.089550018310547
train per: 0.5572817102393581
train loss: 2.089085817337036
train per: 0.5684822116973235
train loss: 2.11989164352417
train per: 0.561329246338734
train loss: 2.149127721786499
train per: 0.5636560966402416
train loss: 2.1100776195526123
train per: 0.5597435641588505
train loss: 2.1007769107818604
train per: 0.5573759206993874
train loss: 2.1388068199157715
train per: 0.5642721452191656
train loss: 2.150028705596924
train per: 0.562652329749104
train loss: 2.0753910541534424
train per: 0.5527430268217884
train loss: 2.1009063720703125
train per: 0.5574125657691117
train loss: 2.120047092437744
train per: 0.5596346390303882
train loss: 2.1188743114471436
train per: 0.5633540689373853
train loss: 2.197953939437866
train per: 0.5754651411462789
train loss: 2.146749496459961
train per: 0.5660075215334223
train loss: 2.0894675254821777
train per: 0.5625248226950355
train loss: 2.1376309394836426
train per: 0.5632219392349052
train loss: 2.1520681381225586
train per: 0.5650501094343969
train loss: 2.1360154151916504
train per: 0.5646192400143201
train loss: 2.1180195808410645
train per: 0.5576644071827803
train loss: 2.1244139671325684
train per: 0.5640390913075991
train loss: 2.1160764694213867
train per: 0.5589050589050589
train loss: 2.1779816150665283
train per: 0.573206959966049
train loss: 2.1734771728515625
train per: 0.5662626079876973
train loss: 2.1289725303649902
train per: 0.5659999067468644
train loss: 2.112680673599243
train per: 0.5577294168096055
train loss: 2.0851190090179443
train per: 0.554613038505528
train loss: 2.0701065063476562
train per: 0.550090902651524
train loss: 2.087447166442871
train per: 0.5512734423713368
train loss: 2.083397388458252
train per: 0.551890766714576
train loss: 2.1603081226348877
train per: 0.5598571526056002
train loss: 2.083170175552368
train per: 0.5559884238646483
train loss: 2.085287570953369
train per: 0.5610751077947898
train loss: 2.0982601642608643
train per: 0.559100442787229
train loss: 2.1037814617156982
train per: 0.5593373267500439
train loss: 2.1426539421081543
train per: 0.5621925693354265
train loss: 2.1110689640045166
train per: 0.5670876302873215
train loss: 2.156312942504883
train per: 0.5690543706078165
train loss: 2.081188201904297
train per: 0.5561795090512748
train loss: 2.1099658012390137
train per: 0.5561890114552397
train loss: 2.0961530208587646
train per: 0.5577370382412525
train loss: 2.079754114151001
train per: 0.5510117834236563
train loss: 2.101733922958374
train per: 0.5594207461042028
train loss: 2.101663589477539
train per: 0.5678425508051379
train loss: 2.163992404937744
train per: 0.5643701998678183
train loss: 2.081943988800049
train per: 0.5591127905171075
train loss: 2.1231722831726074
train per: 0.5571303587051618
train loss: 2.1276731491088867
train per: 0.5654918009164529
train loss: 2.149104595184326
train per: 0.5658600629286733
train loss: 2.1108462810516357
train per: 0.5634545959455707
train loss: 2.162681818008423
train per: 0.5739224775618897
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 408/2703 [00:00<00:00, 3916.07it/s]


word -> phonemes:  30%|██▉       | 800/2703 [00:00<00:00, 3882.41it/s]


word -> phonemes:  44%|████▍     | 1189/2703 [00:00<00:00, 3370.69it/s]


word -> phonemes:  62%|██████▏   | 1676/2703 [00:00<00:00, 3907.08it/s]


word -> phonemes:  77%|███████▋  | 2077/2703 [00:00<00:00, 3714.39it/s]


word -> phonemes:  94%|█████████▍| 2541/2703 [00:00<00:00, 3977.68it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3894.38it/s]



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train: 100%|██████████| 3515/3515 [21:18<00:00,  4.95it/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 [21:18<00:00,  2.75it/s]
dev loss: 2.379089832305908
dev per: 0.6012955254942768
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.065703868865967
train per: 0.5509575666541494
train loss: 2.102959156036377
train per: 0.5582664701708422
train loss: 2.080981969833374
train per: 0.5573160046728972
train loss: 2.082733154296875
train per: 0.5496496799233832
train loss: 2.1092562675476074
train per: 0.5539801642720193
train loss: 2.1058287620544434
train per: 0.5601452218949934
train loss: 2.0654406547546387
train per: 0.5528131768498463
train loss: 2.122528553009033
train per: 0.5583679546600706
train loss: 2.1539978981018066
train per: 0.567960560715086
train loss: 2.0851969718933105
train per: 0.5570348533117778
train loss: 2.124330520629883
train per: 0.5647239853818042
train loss: 2.160918712615967
train per: 0.5678311464983157
train loss: 2.067067861557007
train per: 0.5546609636432256
train loss: 2.0846738815307617
train per: 0.5552104980502953
train loss: 2.1162118911743164
train per: 0.5627514473555097
train loss: 2.135100841522217
train per: 0.56043855850106
train loss: 2.128298282623291
train per: 0.5583012996522058
train loss: 2.1085028648376465
train per: 0.5586187035291653
train loss: 2.1263835430145264
train per: 0.5679301982285956
train loss: 2.1201605796813965
train per: 0.5615388795305113
train loss: 2.134495258331299
train per: 0.5713421009189457
train loss: 2.15356183052063
train per: 0.56671594180347
train loss: 2.168015956878662
train per: 0.5661039612234665
train loss: 2.113192319869995
train per: 0.5642072446555819
train loss: 2.1382107734680176
train per: 0.557901698197879
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 374/3515 [00:00<00:00, 3739.85it/s]

word -> phonemes:  22%|██▏       | 768/3515 [00:00<00:00, 3856.16it/s]

word -> phonemes:  33%|███▎      | 1154/3515 [00:00<00:00, 3815.75it/s]

word -> phonemes:  46%|████▌     | 1615/3515 [00:00<00:00, 4123.95it/s]

word -> phonemes:  58%|█████▊    | 2036/3515 [00:00<00:00, 4151.62it/s]

word -> phonemes:  70%|██████▉   | 2452/3515 [00:00<00:00, 4138.46it/s]

word -> phonemes:  82%|████████▏ | 2866/3515 [00:00<00:00, 4133.35it/s]

word -> phonemes:  93%|█████████▎| 3280/3515 [00:00<00:00, 4027.61it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4046.84it/s]


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overall:  88%|████████▊ | 3530/4000 [21:27<01:42,  4.60it/s]

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overall:  88%|████████▊ | 3531/4000 [21:27<01:40,  4.66it/s]

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overall:  88%|████████▊ | 3532/4000 [21:27<01:40,  4.67it/s]

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overall:  88%|████████▊ | 3533/4000 [21:27<01:34,  4.93it/s]

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overall:  88%|████████▊ | 3534/4000 [21:27<01:37,  4.79it/s]

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overall:  88%|████████▊ | 3535/4000 [21:28<01:37,  4.78it/s]

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overall:  88%|████████▊ | 3536/4000 [21:28<01:58,  3.91it/s]

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overall:  88%|████████▊ | 3538/4000 [21:28<01:35,  4.84it/s]

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overall:  88%|████████▊ | 3539/4000 [21:29<01:36,  4.77it/s]

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overall:  88%|████████▊ | 3540/4000 [21:29<01:38,  4.66it/s]

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overall:  89%|████████▊ | 3541/4000 [21:29<01:38,  4.67it/s]

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overall:  89%|████████▊ | 3543/4000 [21:29<01:21,  5.57it/s]

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overall:  89%|████████▊ | 3544/4000 [21:29<01:25,  5.35it/s]

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overall:  89%|████████▊ | 3546/4000 [21:30<01:19,  5.74it/s]

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overall:  89%|████████▊ | 3547/4000 [21:30<01:24,  5.34it/s]

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overall:  89%|████████▊ | 3548/4000 [21:30<01:41,  4.44it/s]

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overall:  89%|████████▊ | 3549/4000 [21:31<01:39,  4.53it/s]

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overall:  89%|████████▉ | 3550/4000 [21:31<01:34,  4.76it/s]

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overall:  89%|████████▉ | 3551/4000 [21:31<01:37,  4.61it/s]

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overall:  89%|████████▉ | 3552/4000 [21:31<01:43,  4.34it/s]

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overall:  89%|████████▉ | 3554/4000 [21:32<01:39,  4.48it/s]

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overall:  89%|████████▉ | 3556/4000 [21:32<01:23,  5.30it/s]

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overall:  89%|████████▉ | 3557/4000 [21:32<01:24,  5.21it/s]

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overall:  89%|████████▉ | 3558/4000 [21:32<01:26,  5.09it/s]

train:   1%|          | 43/3515 [00:09<11:22,  5.09it/s]
overall:  89%|████████▉ | 3559/4000 [21:33<01:17,  5.67it/s]

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overall:  89%|████████▉ | 3560/4000 [21:33<01:36,  4.56it/s]

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overall:  89%|████████▉ | 3561/4000 [21:33<01:35,  4.59it/s]

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overall:  89%|████████▉ | 3562/4000 [21:33<01:34,  4.63it/s]

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overall:  89%|████████▉ | 3563/4000 [21:33<01:24,  5.19it/s]

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overall:  89%|████████▉ | 3564/4000 [21:34<01:35,  4.56it/s]

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overall:  89%|████████▉ | 3565/4000 [21:34<01:21,  5.32it/s]

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overall:  89%|████████▉ | 3566/4000 [21:34<01:25,  5.08it/s]

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overall:  89%|████████▉ | 3567/4000 [21:34<01:27,  4.93it/s]

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overall:  89%|████████▉ | 3569/4000 [21:35<01:16,  5.64it/s]

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overall:  89%|████████▉ | 3570/4000 [21:35<01:19,  5.42it/s]

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overall:  89%|████████▉ | 3573/4000 [21:35<01:35,  4.45it/s]

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overall:  89%|████████▉ | 3574/4000 [21:36<01:35,  4.48it/s]

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overall:  89%|████████▉ | 3575/4000 [21:36<01:34,  4.52it/s]

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overall:  89%|████████▉ | 3576/4000 [21:36<01:37,  4.33it/s]

train:   2%|▏         | 61/3515 [00:13<13:17,  4.33it/s]
overall:  89%|████████▉ | 3577/4000 [21:36<01:32,  4.57it/s]

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overall:  89%|████████▉ | 3578/4000 [21:37<01:31,  4.64it/s]

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overall:  90%|████████▉ | 3580/4000 [21:37<01:31,  4.59it/s]

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overall:  90%|████████▉ | 3581/4000 [21:37<01:30,  4.62it/s]

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overall:  90%|████████▉ | 3583/4000 [21:38<01:29,  4.64it/s]

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overall:  90%|████████▉ | 3584/4000 [21:38<01:30,  4.59it/s]

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overall:  90%|████████▉ | 3586/4000 [21:38<01:16,  5.42it/s]

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overall:  90%|████████▉ | 3587/4000 [21:38<01:19,  5.21it/s]

train:   2%|▏         | 72/3515 [00:15<11:00,  5.21it/s]
overall:  90%|████████▉ | 3588/4000 [21:39<01:27,  4.73it/s]

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train:   3%|▎         | 105/3515 [00:23<14:13,  3.99it/s]
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train:   3%|▎         | 108/3515 [00:23<12:46,  4.44it/s]
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train:   3%|▎         | 109/3515 [00:24<13:36,  4.17it/s]
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train:   3%|▎         | 111/3515 [00:24<12:19,  4.60it/s]
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train:   3%|▎         | 112/3515 [00:24<12:15,  4.63it/s]
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train:   3%|▎         | 113/3515 [00:24<10:20,  5.49it/s]
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train:   3%|▎         | 114/3515 [00:24<11:04,  5.12it/s]
overall:  91%|█████████ | 3630/4000 [21:48<01:13,  5.00it/s]

train:   3%|▎         | 115/3515 [00:25<11:19,  5.00it/s]
overall:  91%|█████████ | 3631/4000 [21:48<01:12,  5.11it/s]

train:   3%|▎         | 116/3515 [00:25<11:05,  5.11it/s]
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overall:  91%|█████████▏| 3651/4000 [21:52<01:02,  5.60it/s]

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overall:  99%|█████████▉| 3951/4000 [22:56<00:10,  4.68it/s]

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overall:  99%|█████████▉| 3955/4000 [22:56<00:08,  5.40it/s]

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overall: 100%|█████████▉| 3997/4000 [23:05<00:00,  5.26it/s]

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overall: 100%|█████████▉| 3998/4000 [23:05<00:00,  5.07it/s]

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overall: 100%|█████████▉| 3999/4000 [23:06<00:00,  5.08it/s]

train:  14%|█▍        | 484/3515 [01:43<09:56,  5.08it/s]train loss: 2.10276460647583
train per: 0.5531193032205793
train loss: 2.0940699577331543
train per: 0.5611950729448764
train loss: 2.0896201133728027
train per: 0.5580276455464196
train loss: 2.158686876296997
train per: 0.5643971631205674
train loss: 2.1399128437042236
train per: 0.5652306209904404
train loss: 2.117525815963745
train per: 0.5579041381363501
train loss: 2.1257081031799316
train per: 0.5575444635685599
train loss: 2.1089794635772705
train per: 0.5587064168666088
train loss: 2.1468911170959473
train per: 0.5809048298349296
train loss: 2.115401029586792
train per: 0.5627291032061542
train loss: 2.1354193687438965
train per: 0.5628692642044715
train loss: 2.163053512573242
train per: 0.567759928603302
train loss: 2.0803334712982178
train per: 0.5518084436042848
train loss: 2.1249425411224365
train per: 0.5641233130595944
train loss: 2.164161205291748
train per: 0.5728280153240943
train loss: 2.106555461883545
train per: 0.5598801635057252
train loss: 2.0884108543395996
train per: 0.5598492685089405
train loss: 2.1115176677703857
train per: 0.559466653990588
train loss: 2.1178393363952637
train per: 0.5584200917748063
train loss: 2.078908681869507
train per: 0.5475873349690384
train loss: 2.1148836612701416
train per: 0.556496743996744
train loss: 2.111938953399658
train per: 0.557776307081403
train loss: 2.1279733180999756
train per: 0.5639522413669836
train loss: 2.0919289588928223
train per: 0.5539291966543474
train loss: 2.0977511405944824
train per: 0.5522613563184228
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▎        | 366/2703 [00:00<00:00, 3658.06it/s]


word -> phonemes:  27%|██▋       | 732/2703 [00:00<00:00, 3232.17it/s]


word -> phonemes:  39%|███▉      | 1066/2703 [00:00<00:00, 3276.45it/s]


word -> phonemes:  52%|█████▏    | 1396/2703 [00:00<00:00, 3124.20it/s]


word -> phonemes:  63%|██████▎   | 1714/2703 [00:00<00:00, 3142.54it/s]


word -> phonemes:  75%|███████▌  | 2030/2703 [00:00<00:00, 2928.80it/s]


word -> phonemes:  87%|████████▋ | 2339/2703 [00:00<00:00, 2962.66it/s]


word -> phonemes:  98%|█████████▊| 2638/2703 [00:00<00:00, 2840.32it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2996.87it/s]



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dev: 100%|██████████| 2703/2703 [02:59<00:00, 15.05it/s]

                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:07<00:00,  5.08it/s]

train:  14%|█▍        | 484/3515 [04:44<09:56,  5.08it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:07<00:00,  5.08it/s]

train:  14%|█▍        | 484/3515 [04:44<09:56,  5.08it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [26:07<00:00,  5.08it/s]

train:  14%|█▍        | 484/3515 [04:44<09:56,  5.08it/s]
overall: 100%|██████████| 4000/4000 [26:07<00:00, 51.03s/it]

train:  14%|█▍        | 485/3515 [04:45<42:57:04, 51.03s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:45<29:42,  1.70it/s]   

overall: 100%|██████████| 4000/4000 [26:08<00:00,  2.55it/s]
dev loss: 2.3894269466400146
dev per: 0.6007284079084287
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
2. result/downstream/grid/states-4000.ckpt