/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] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_25hz_test_only_2codebook {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_test_only_2codebook
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


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


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

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word -> phonemes:  53%|█████▎    | 1870/3515 [00:00<00:00, 4623.01it/s]

word -> phonemes:  67%|██████▋   | 2343/3515 [00:00<00:00, 4656.45it/s]

word -> phonemes:  80%|███████▉  | 2809/3515 [00:00<00:00, 4313.95it/s]

word -> phonemes:  92%|█████████▏| 3251/3515 [00:00<00:00, 4343.97it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4422.69it/s]


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train:   3%|▎         | 122/3515 [00:26<15:00,  3.77it/s]
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overall:   3%|▎         | 132/4000 [00:30<13:16,  4.86it/s]

train:   4%|▍         | 132/3515 [00:28<11:36,  4.86it/s]
overall:   3%|▎         | 133/4000 [00:30<13:52,  4.64it/s]

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overall:   3%|▎         | 134/4000 [00:30<14:36,  4.41it/s]

train:   4%|▍         | 134/3515 [00:28<12:46,  4.41it/s]
overall:   3%|▎         | 135/4000 [00:30<13:48,  4.66it/s]

train:   4%|▍         | 135/3515 [00:28<12:04,  4.66it/s]
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overall:   3%|▎         | 137/4000 [00:31<13:15,  4.86it/s]

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train:   4%|▍         | 138/3515 [00:29<11:04,  5.08it/s]
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overall:   4%|▎         | 140/4000 [00:31<12:48,  5.02it/s]

train:   4%|▍         | 140/3515 [00:29<11:12,  5.02it/s]
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train:   4%|▍         | 143/3515 [00:30<11:00,  5.10it/s]
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train:   4%|▍         | 144/3515 [00:30<11:17,  4.98it/s]
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train:   4%|▍         | 147/3515 [00:31<11:04,  5.07it/s]
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train:   4%|▍         | 148/3515 [00:31<10:54,  5.15it/s]
overall:   4%|▎         | 149/4000 [00:33<13:03,  4.92it/s]

train:   4%|▍         | 149/3515 [00:31<11:24,  4.92it/s]
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train:   4%|▍         | 151/3515 [00:31<10:06,  5.55it/s]
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train:   4%|▍         | 152/3515 [00:32<10:17,  5.45it/s]
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train:   4%|▍         | 153/3515 [00:32<11:27,  4.89it/s]
overall:   4%|▍         | 154/4000 [00:34<13:27,  4.76it/s]

train:   4%|▍         | 154/3515 [00:32<11:45,  4.76it/s]
overall:   4%|▍         | 155/4000 [00:34<13:48,  4.64it/s]

train:   4%|▍         | 155/3515 [00:32<12:03,  4.64it/s]
overall:   4%|▍         | 157/4000 [00:35<12:14,  5.23it/s]

train:   4%|▍         | 157/3515 [00:33<10:41,  5.23it/s]
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train:   4%|▍         | 158/3515 [00:33<11:15,  4.97it/s]
overall:   4%|▍         | 159/4000 [00:35<13:09,  4.87it/s]

train:   5%|▍         | 159/3515 [00:33<11:29,  4.87it/s]
overall:   4%|▍         | 160/4000 [00:35<13:11,  4.85it/s]

train:   5%|▍         | 160/3515 [00:33<11:31,  4.85it/s]
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train:   5%|▍         | 161/3515 [00:34<11:37,  4.81it/s]
overall:   4%|▍         | 162/4000 [00:36<13:08,  4.86it/s]

train:   5%|▍         | 162/3515 [00:34<11:29,  4.86it/s]
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train:   5%|▍         | 163/3515 [00:34<11:31,  4.85it/s]
overall:   4%|▍         | 164/4000 [00:36<13:22,  4.78it/s]

train:   5%|▍         | 164/3515 [00:34<11:41,  4.78it/s]
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train:   5%|▍         | 165/3515 [00:34<11:31,  4.85it/s]
overall:   4%|▍         | 166/4000 [00:37<13:05,  4.88it/s]

train:   5%|▍         | 166/3515 [00:35<11:26,  4.88it/s]
overall:   4%|▍         | 167/4000 [00:37<13:10,  4.85it/s]

train:   5%|▍         | 167/3515 [00:35<11:30,  4.85it/s]
overall:   4%|▍         | 168/4000 [00:37<13:16,  4.81it/s]

train:   5%|▍         | 168/3515 [00:35<11:35,  4.81it/s]
overall:   4%|▍         | 169/4000 [00:37<13:56,  4.58it/s]

train:   5%|▍         | 169/3515 [00:35<12:11,  4.58it/s]
overall:   4%|▍         | 170/4000 [00:38<17:05,  3.74it/s]

train:   5%|▍         | 170/3515 [00:36<14:55,  3.74it/s]
overall:   4%|▍         | 171/4000 [00:38<15:34,  4.10it/s]

train:   5%|▍         | 171/3515 [00:36<13:36,  4.10it/s]
overall:   4%|▍         | 173/4000 [00:38<11:20,  5.62it/s]

train:   5%|▍         | 173/3515 [00:36<09:54,  5.62it/s]
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train:   5%|▍         | 174/3515 [00:36<10:15,  5.43it/s]
overall:   4%|▍         | 175/4000 [00:38<12:08,  5.25it/s]

train:   5%|▍         | 175/3515 [00:36<10:36,  5.25it/s]
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train:   5%|▌         | 176/3515 [00:37<10:58,  5.07it/s]
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train:   5%|▌         | 177/3515 [00:37<12:11,  4.56it/s]
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train:   5%|▌         | 178/3515 [00:37<12:19,  4.51it/s]
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train:   5%|▌         | 179/3515 [00:37<12:37,  4.40it/s]
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train:   5%|▌         | 180/3515 [00:38<12:10,  4.56it/s]
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train:   5%|▌         | 181/3515 [00:38<12:29,  4.45it/s]
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train:   5%|▌         | 182/3515 [00:38<12:34,  4.42it/s]
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train:   5%|▌         | 183/3515 [00:38<12:18,  4.51it/s]
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train:   5%|▌         | 184/3515 [00:38<10:43,  5.17it/s]
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train:   5%|▌         | 185/3515 [00:39<10:44,  5.16it/s]
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train:   5%|▌         | 186/3515 [00:39<11:04,  5.01it/s]
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train:   5%|▌         | 187/3515 [00:39<11:11,  4.96it/s]
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train:   5%|▌         | 188/3515 [00:39<11:04,  5.01it/s]
overall:   5%|▍         | 189/4000 [00:41<12:55,  4.91it/s]

train:   5%|▌         | 189/3515 [00:39<11:17,  4.91it/s]
overall:   5%|▍         | 190/4000 [00:42<13:03,  4.86it/s]

train:   5%|▌         | 190/3515 [00:40<11:23,  4.86it/s]
overall:   5%|▍         | 191/4000 [00:42<13:03,  4.86it/s]

train:   5%|▌         | 191/3515 [00:40<11:23,  4.86it/s]
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train:   5%|▌         | 192/3515 [00:40<11:24,  4.85it/s]
overall:   5%|▍         | 193/4000 [00:42<13:34,  4.68it/s]

train:   5%|▌         | 193/3515 [00:40<11:50,  4.68it/s]
overall:   5%|▍         | 194/4000 [00:43<15:54,  3.99it/s]

train:   6%|▌         | 194/3515 [00:41<13:52,  3.99it/s]
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train:   6%|▌         | 195/3515 [00:41<12:42,  4.35it/s]
overall:   5%|▍         | 197/4000 [00:43<11:34,  5.47it/s]

train:   6%|▌         | 197/3515 [00:41<10:06,  5.47it/s]
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train:   6%|▌         | 198/3515 [00:41<10:23,  5.32it/s]
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train:   6%|▌         | 200/3515 [00:42<09:19,  5.92it/s]
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train:   6%|▌         | 201/3515 [00:42<10:32,  5.24it/s]
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train:   6%|▌         | 202/3515 [00:42<11:00,  5.01it/s]
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train:   6%|▌         | 206/3515 [00:43<10:48,  5.10it/s]
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train:   6%|▋         | 224/3515 [00:46<10:33,  5.20it/s]
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overall:  13%|█▎        | 510/4000 [01:50<11:49,  4.92it/s]

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overall:  13%|█▎        | 511/4000 [01:50<16:59,  3.42it/s]

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overall:  13%|█▎        | 512/4000 [01:50<15:37,  3.72it/s]

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overall:  13%|█▎        | 513/4000 [01:51<14:26,  4.02it/s]

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overall:  13%|█▎        | 514/4000 [01:51<13:43,  4.24it/s]

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overall:  13%|█▎        | 515/4000 [01:51<13:12,  4.40it/s]

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overall:  13%|█▎        | 516/4000 [01:51<13:11,  4.40it/s]

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overall:  13%|█▎        | 517/4000 [01:51<11:32,  5.03it/s]

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overall:  13%|█▎        | 518/4000 [01:52<12:08,  4.78it/s]

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overall:  13%|█▎        | 519/4000 [01:52<12:11,  4.76it/s]

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overall:  13%|█▎        | 520/4000 [01:52<12:46,  4.54it/s]

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overall:  13%|█▎        | 521/4000 [01:52<12:59,  4.46it/s]

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overall:  13%|█▎        | 522/4000 [01:52<12:53,  4.50it/s]

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overall:  13%|█▎        | 523/4000 [01:53<12:17,  4.71it/s]

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overall:  13%|█▎        | 524/4000 [01:53<12:10,  4.76it/s]

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overall:  13%|█▎        | 525/4000 [01:53<12:03,  4.80it/s]

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overall:  13%|█▎        | 526/4000 [01:53<12:07,  4.77it/s]

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overall:  13%|█▎        | 527/4000 [01:53<11:48,  4.90it/s]

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overall:  13%|█▎        | 528/4000 [01:54<11:41,  4.95it/s]

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overall:  13%|█▎        | 529/4000 [01:54<11:45,  4.92it/s]

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overall:  13%|█▎        | 530/4000 [01:54<13:34,  4.26it/s]

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overall:  13%|█▎        | 531/4000 [01:54<12:58,  4.45it/s]

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overall:  13%|█▎        | 532/4000 [01:55<12:50,  4.50it/s]

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overall:  13%|█▎        | 533/4000 [01:55<12:26,  4.65it/s]

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overall:  13%|█▎        | 534/4000 [01:55<10:58,  5.26it/s]

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overall:  13%|█▎        | 535/4000 [01:55<15:43,  3.67it/s]

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overall:  13%|█▎        | 536/4000 [01:56<14:12,  4.06it/s]

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overall:  13%|█▎        | 537/4000 [01:56<13:31,  4.27it/s]

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overall:  13%|█▎        | 538/4000 [01:56<11:35,  4.98it/s]

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overall:  13%|█▎        | 539/4000 [01:56<11:51,  4.86it/s]

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overall:  14%|█▎        | 540/4000 [01:56<12:28,  4.62it/s]

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overall:  14%|█▎        | 541/4000 [01:57<12:12,  4.72it/s]

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overall:  14%|█▎        | 542/4000 [01:57<12:20,  4.67it/s]

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overall:  14%|█▎        | 543/4000 [01:57<12:28,  4.62it/s]

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overall:  14%|█▎        | 544/4000 [01:57<12:21,  4.66it/s]

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overall:  14%|█▎        | 545/4000 [01:57<12:15,  4.69it/s]

train:  16%|█▌        | 545/3515 [01:56<10:32,  4.69it/s]
overall:  14%|█▎        | 546/4000 [01:58<12:31,  4.60it/s]

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overall:  14%|█▎        | 547/4000 [01:58<12:20,  4.66it/s]

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overall:  14%|█▎        | 548/4000 [01:58<12:08,  4.74it/s]

train:  16%|█▌        | 548/3515 [01:56<10:25,  4.74it/s]
overall:  14%|█▎        | 549/4000 [01:58<12:08,  4.74it/s]

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overall:  14%|█▍        | 550/4000 [01:58<11:49,  4.86it/s]

train:  16%|█▌        | 550/3515 [01:57<10:09,  4.86it/s]
overall:  14%|█▍        | 551/4000 [01:59<11:59,  4.79it/s]

train:  16%|█▌        | 551/3515 [01:57<10:18,  4.79it/s]
overall:  14%|█▍        | 552/4000 [01:59<12:01,  4.78it/s]

train:  16%|█▌        | 552/3515 [01:57<10:20,  4.78it/s]
overall:  14%|█▍        | 553/4000 [01:59<12:07,  4.74it/s]

train:  16%|█▌        | 553/3515 [01:57<10:25,  4.74it/s]
overall:  14%|█▍        | 554/4000 [01:59<13:32,  4.24it/s]

train:  16%|█▌        | 554/3515 [01:58<11:38,  4.24it/s]
overall:  14%|█▍        | 555/4000 [02:00<13:18,  4.32it/s]

train:  16%|█▌        | 555/3515 [01:58<11:25,  4.32it/s]
overall:  14%|█▍        | 556/4000 [02:00<13:11,  4.35it/s]

train:  16%|█▌        | 556/3515 [01:58<11:19,  4.35it/s]
overall:  14%|█▍        | 557/4000 [02:00<12:03,  4.76it/s]

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overall:  14%|█▍        | 558/4000 [02:00<12:09,  4.72it/s]

train:  16%|█▌        | 558/3515 [01:58<10:27,  4.72it/s]
overall:  14%|█▍        | 559/4000 [02:01<16:37,  3.45it/s]

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overall:  14%|█▍        | 560/4000 [02:01<15:24,  3.72it/s]

train:  16%|█▌        | 560/3515 [01:59<13:14,  3.72it/s]
overall:  14%|█▍        | 561/4000 [02:01<14:21,  3.99it/s]

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overall:  14%|█▍        | 562/4000 [02:01<13:32,  4.23it/s]

train:  16%|█▌        | 562/3515 [01:59<11:37,  4.23it/s]
overall:  14%|█▍        | 563/4000 [02:02<13:00,  4.40it/s]

train:  16%|█▌        | 563/3515 [02:00<11:10,  4.40it/s]
overall:  14%|█▍        | 564/4000 [02:02<13:00,  4.40it/s]

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overall:  14%|█▍        | 565/4000 [02:02<12:42,  4.50it/s]

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overall:  14%|█▍        | 566/4000 [02:02<12:29,  4.58it/s]

train:  16%|█▌        | 566/3515 [02:00<10:43,  4.58it/s]
overall:  14%|█▍        | 567/4000 [02:02<10:59,  5.21it/s]

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overall:  14%|█▍        | 568/4000 [02:03<11:32,  4.96it/s]

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overall:  14%|█▍        | 569/4000 [02:03<13:51,  4.12it/s]

train:  16%|█▌        | 569/3515 [02:01<11:54,  4.12it/s]
overall:  14%|█▍        | 571/4000 [02:03<10:14,  5.58it/s]

train:  16%|█▌        | 571/3515 [02:01<08:47,  5.58it/s]
overall:  14%|█▍        | 572/4000 [02:03<10:38,  5.37it/s]

train:  16%|█▋        | 572/3515 [02:01<09:08,  5.37it/s]
overall:  14%|█▍        | 573/4000 [02:04<10:43,  5.32it/s]

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overall:  14%|█▍        | 574/4000 [02:04<11:18,  5.05it/s]

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overall:  14%|█▍        | 575/4000 [02:04<10:32,  5.41it/s]

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overall:  14%|█▍        | 576/4000 [02:04<11:04,  5.15it/s]

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overall:  14%|█▍        | 577/4000 [02:04<09:45,  5.85it/s]

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overall:  14%|█▍        | 578/4000 [02:04<10:30,  5.43it/s]

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overall:  14%|█▍        | 579/4000 [02:05<10:59,  5.19it/s]

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overall:  14%|█▍        | 580/4000 [02:05<11:11,  5.09it/s]

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overall:  15%|█▍        | 581/4000 [02:05<11:19,  5.03it/s]

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overall:  15%|█▍        | 582/4000 [02:05<11:23,  5.00it/s]

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overall:  15%|█▍        | 583/4000 [02:06<16:03,  3.55it/s]

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overall:  15%|█▍        | 586/4000 [02:06<12:58,  4.39it/s]

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overall:  15%|█▍        | 587/4000 [02:07<12:50,  4.43it/s]

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overall:  15%|█▍        | 588/4000 [02:07<13:04,  4.35it/s]

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overall:  15%|█▍        | 589/4000 [02:07<12:46,  4.45it/s]

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overall:  15%|█▍        | 590/4000 [02:07<12:41,  4.48it/s]

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overall:  15%|█▍        | 595/4000 [02:08<12:03,  4.70it/s]

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overall:  15%|█▍        | 597/4000 [02:09<11:47,  4.81it/s]

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overall:  15%|█▍        | 598/4000 [02:09<11:42,  4.85it/s]

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overall:  15%|█▌        | 602/4000 [02:10<12:00,  4.71it/s]

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overall:  15%|█▌        | 603/4000 [02:10<14:54,  3.80it/s]

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overall:  15%|█▌        | 604/4000 [02:10<13:50,  4.09it/s]

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overall:  15%|█▌        | 605/4000 [02:11<13:17,  4.26it/s]

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train:  28%|██▊       | 992/3515 [03:31<10:12,  4.12it/s]
overall:  25%|██▍       | 993/4000 [03:33<11:48,  4.24it/s]

train:  28%|██▊       | 993/3515 [03:31<09:54,  4.24it/s]
overall:  25%|██▍       | 994/4000 [03:33<11:34,  4.33it/s]

train:  28%|██▊       | 994/3515 [03:31<09:42,  4.33it/s]
overall:  25%|██▍       | 995/4000 [03:33<11:39,  4.30it/s]

train:  28%|██▊       | 995/3515 [03:32<09:46,  4.30it/s]
overall:  25%|██▍       | 996/4000 [03:34<11:06,  4.51it/s]

train:  28%|██▊       | 996/3515 [03:32<09:18,  4.51it/s]
overall:  25%|██▍       | 997/4000 [03:34<10:53,  4.59it/s]

train:  28%|██▊       | 997/3515 [03:32<09:08,  4.59it/s]
overall:  25%|██▍       | 998/4000 [03:34<10:46,  4.64it/s]

train:  28%|██▊       | 998/3515 [03:32<09:02,  4.64it/s]
overall:  25%|██▍       | 999/4000 [03:34<10:25,  4.79it/s]

train:  28%|██▊       | 999/3515 [03:32<08:44,  4.79it/s]train loss: 4.137679576873779
train per: 0.9493718357397337
train loss: 3.0389041900634766
train per: 0.7405181453159766
train loss: 2.411545991897583
train per: 0.6313890403135789
train loss: 2.2926626205444336
train per: 0.598792940996715
train loss: 2.239097833633423
train per: 0.5850629149835167
train loss: 2.1837499141693115
train per: 0.5809895133100296
train loss: 2.120086908340454
train per: 0.5645184896087423
train loss: 2.185969591140747
train per: 0.5728978420325289
train loss: 2.087656021118164
train per: 0.5554717531993577
train loss: 2.064913272857666
train per: 0.5489175116470266
train loss: 2.0724754333496094
train per: 0.5607014033332456
train loss: 2.0823919773101807
train per: 0.5503914379149737
train loss: 2.133265495300293
train per: 0.5634094655050624
train loss: 2.0862629413604736
train per: 0.5514098228483124
train loss: 2.010154962539673
train per: 0.5386734477643569
train loss: 2.0417721271514893
train per: 0.544253140995812
train loss: 1.9999253749847412
train per: 0.5381986944104448
train loss: 2.003803014755249
train per: 0.53916496546324
train loss: 2.0497851371765137
train per: 0.5421291833080842
train loss: 1.9925791025161743
train per: 0.5399778460299078
train loss: 1.9817686080932617
train per: 0.533009445362401
train loss: 2.0271172523498535
train per: 0.541500288806851
train loss: 2.036182165145874
train per: 0.5353770477403487
train loss: 2.029597759246826
train per: 0.5385613065930107
train loss: 2.0011608600616455
train per: 0.5347541129787329
train loss: 1.9627670049667358
train per: 0.530458360232408
train loss: 2.007678508758545
train per: 0.5309049684542587
train loss: 1.9699935913085938
train per: 0.5283986057002256
train loss: 1.9669606685638428
train per: 0.5222994876084911
train loss: 1.9813048839569092
train per: 0.5341560263451982
train loss: 2.0169177055358887
train per: 0.5342363762999256
train loss: 1.9651902914047241
train per: 0.5251065497477098
train loss: 1.9918909072875977
train per: 0.5326929596564584
train loss: 1.9941507577896118
train per: 0.5325606777194533
train loss: 1.9678661823272705
train per: 0.5306656490214251
train loss: 1.9641313552856445
train per: 0.5344031334034841
train loss: 2.0265109539031982
train per: 0.5322966507177034
train loss: 2.0122814178466797
train per: 0.5355989395034948
train loss: 1.9961588382720947
train per: 0.5327566717452205
train loss: 1.996763825416565
train per: 0.5314521968652917
train loss: 1.9576011896133423
train per: 0.5249669049510193
train loss: 1.9588816165924072
train per: 0.5310503031296084
train loss: 1.9793097972869873
train per: 0.5264656831302117
train loss: 2.0038390159606934
train per: 0.5313913241201587
train loss: 1.9548743963241577
train per: 0.5216853790841428
train loss: 1.9617719650268555
train per: 0.5222450845907636
train loss: 1.9872617721557617
train per: 0.535005170630817
train loss: 1.9864304065704346
train per: 0.531357144785508
train loss: 1.9594802856445312
train per: 0.524102420726451
train loss: 1.9393965005874634
train per: 0.5201966548904317
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 484/2703 [00:00<00:00, 4839.24it/s]


word -> phonemes:  36%|███▋      | 980/2703 [00:00<00:00, 4904.88it/s]


word -> phonemes:  57%|█████▋    | 1548/2703 [00:00<00:00, 5256.19it/s]


word -> phonemes:  77%|███████▋  | 2074/2703 [00:00<00:00, 5246.20it/s]


word -> phonemes:  97%|█████████▋| 2622/2703 [00:00<00:00, 5328.40it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5203.94it/s]



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overall:  48%|████▊     | 1927/4000 [08:54<08:26,  4.09it/s]

train:  55%|█████▍    | 1927/3515 [08:52<06:28,  4.09it/s]
overall:  48%|████▊     | 1929/4000 [08:54<06:53,  5.01it/s]

train:  55%|█████▍    | 1929/3515 [08:52<05:16,  5.01it/s]
overall:  48%|████▊     | 1930/4000 [08:55<07:03,  4.89it/s]

train:  55%|█████▍    | 1930/3515 [08:53<05:24,  4.89it/s]
overall:  48%|████▊     | 1931/4000 [08:55<07:08,  4.82it/s]

train:  55%|█████▍    | 1931/3515 [08:53<05:28,  4.82it/s]
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train:  55%|█████▍    | 1932/3515 [08:53<05:31,  4.78it/s]
overall:  48%|████▊     | 1933/4000 [08:55<07:14,  4.76it/s]

train:  55%|█████▍    | 1933/3515 [08:53<05:32,  4.76it/s]
overall:  48%|████▊     | 1934/4000 [08:55<07:17,  4.72it/s]

train:  55%|█████▌    | 1934/3515 [08:54<05:34,  4.72it/s]
overall:  48%|████▊     | 1935/4000 [08:56<07:22,  4.67it/s]

train:  55%|█████▌    | 1935/3515 [08:54<05:38,  4.67it/s]
overall:  48%|████▊     | 1936/4000 [08:56<06:20,  5.43it/s]

train:  55%|█████▌    | 1936/3515 [08:54<04:50,  5.43it/s]
overall:  48%|████▊     | 1937/4000 [08:56<06:26,  5.34it/s]

train:  55%|█████▌    | 1937/3515 [08:54<04:55,  5.34it/s]
overall:  48%|████▊     | 1938/4000 [08:56<06:32,  5.25it/s]

train:  55%|█████▌    | 1938/3515 [08:54<05:00,  5.25it/s]
overall:  48%|████▊     | 1939/4000 [08:56<06:52,  5.00it/s]

train:  55%|█████▌    | 1939/3515 [08:54<05:15,  5.00it/s]
overall:  48%|████▊     | 1940/4000 [08:57<06:56,  4.95it/s]

train:  55%|█████▌    | 1940/3515 [08:55<05:20,  4.92it/s]
overall:  49%|████▊     | 1941/4000 [08:57<06:46,  5.06it/s]

train:  55%|█████▌    | 1941/3515 [08:55<05:10,  5.07it/s]
overall:  49%|████▊     | 1942/4000 [08:57<07:01,  4.89it/s]

train:  55%|█████▌    | 1942/3515 [08:55<05:21,  4.89it/s]
overall:  49%|████▊     | 1943/4000 [08:57<07:07,  4.81it/s]

train:  55%|█████▌    | 1943/3515 [08:55<05:26,  4.82it/s]
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train:  55%|█████▌    | 1944/3515 [08:55<04:48,  5.45it/s]
overall:  49%|████▊     | 1945/4000 [08:58<06:33,  5.22it/s]

train:  55%|█████▌    | 1945/3515 [08:56<05:00,  5.22it/s]
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train:  55%|█████▌    | 1946/3515 [08:56<05:11,  5.03it/s]
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train:  55%|█████▌    | 1948/3515 [08:56<06:07,  4.26it/s]
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train:  55%|█████▌    | 1949/3515 [08:57<06:48,  3.83it/s]
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train:  55%|█████▌    | 1950/3515 [08:57<06:31,  4.00it/s]
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train:  56%|█████▌    | 1951/3515 [08:57<06:13,  4.19it/s]
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train:  56%|█████▌    | 1952/3515 [08:57<05:59,  4.34it/s]
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train:  56%|█████▌    | 1953/3515 [08:58<05:54,  4.41it/s]
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train:  56%|█████▌    | 1954/3515 [08:58<05:54,  4.40it/s]
overall:  49%|████▉     | 1955/4000 [09:00<07:30,  4.54it/s]

train:  56%|█████▌    | 1955/3515 [08:58<05:43,  4.54it/s]
overall:  49%|████▉     | 1956/4000 [09:00<07:23,  4.61it/s]

train:  56%|█████▌    | 1956/3515 [08:58<05:38,  4.61it/s]
overall:  49%|████▉     | 1957/4000 [09:00<07:20,  4.64it/s]

train:  56%|█████▌    | 1957/3515 [08:58<05:36,  4.64it/s]
overall:  49%|████▉     | 1958/4000 [09:01<07:17,  4.67it/s]

train:  56%|█████▌    | 1958/3515 [08:59<05:33,  4.67it/s]
overall:  49%|████▉     | 1959/4000 [09:01<07:18,  4.65it/s]

train:  56%|█████▌    | 1959/3515 [08:59<05:34,  4.65it/s]
overall:  49%|████▉     | 1960/4000 [09:01<07:20,  4.63it/s]

train:  56%|█████▌    | 1960/3515 [08:59<05:36,  4.62it/s]
overall:  49%|████▉     | 1961/4000 [09:01<07:26,  4.57it/s]

train:  56%|█████▌    | 1961/3515 [08:59<05:40,  4.57it/s]
overall:  49%|████▉     | 1962/4000 [09:01<07:26,  4.57it/s]

train:  56%|█████▌    | 1962/3515 [09:00<05:40,  4.57it/s]
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train:  56%|█████▌    | 1963/3515 [09:00<05:42,  4.53it/s]
overall:  49%|████▉     | 1964/4000 [09:02<07:10,  4.73it/s]

train:  56%|█████▌    | 1964/3515 [09:00<05:28,  4.73it/s]
overall:  49%|████▉     | 1965/4000 [09:02<07:13,  4.70it/s]

train:  56%|█████▌    | 1965/3515 [09:00<05:29,  4.70it/s]
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train:  56%|█████▌    | 1966/3515 [09:00<05:21,  4.81it/s]
overall:  49%|████▉     | 1967/4000 [09:02<06:48,  4.98it/s]

train:  56%|█████▌    | 1967/3515 [09:01<05:11,  4.98it/s]
overall:  49%|████▉     | 1968/4000 [09:03<06:44,  5.02it/s]

train:  56%|█████▌    | 1968/3515 [09:01<05:08,  5.02it/s]
overall:  49%|████▉     | 1969/4000 [09:03<07:07,  4.75it/s]

train:  56%|█████▌    | 1969/3515 [09:01<05:25,  4.75it/s]
overall:  49%|████▉     | 1970/4000 [09:03<07:14,  4.67it/s]

train:  56%|█████▌    | 1970/3515 [09:01<05:30,  4.67it/s]
overall:  49%|████▉     | 1971/4000 [09:03<07:18,  4.63it/s]

train:  56%|█████▌    | 1971/3515 [09:01<05:33,  4.63it/s]
overall:  49%|████▉     | 1972/4000 [09:04<09:38,  3.51it/s]

train:  56%|█████▌    | 1972/3515 [09:02<07:19,  3.51it/s]
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train:  56%|█████▌    | 1973/3515 [09:02<07:59,  3.21it/s]
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train:  56%|█████▌    | 1974/3515 [09:02<07:15,  3.54it/s]
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train:  56%|█████▌    | 1975/3515 [09:03<06:48,  3.77it/s]
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train:  56%|█████▌    | 1976/3515 [09:03<06:20,  4.05it/s]
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train:  56%|█████▌    | 1977/3515 [09:03<06:08,  4.17it/s]
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train:  56%|█████▋    | 1978/3515 [09:03<05:49,  4.40it/s]
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train:  56%|█████▋    | 1979/3515 [09:03<05:24,  4.74it/s]
overall:  50%|████▉     | 1980/4000 [09:06<07:13,  4.66it/s]

train:  56%|█████▋    | 1980/3515 [09:04<05:29,  4.66it/s]
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train:  56%|█████▋    | 1981/3515 [09:04<04:59,  5.12it/s]
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train:  56%|█████▋    | 1982/3515 [09:04<04:57,  5.15it/s]
overall:  50%|████▉     | 1984/4000 [09:06<05:55,  5.67it/s]

train:  56%|█████▋    | 1984/3515 [09:04<04:29,  5.67it/s]
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train:  56%|█████▋    | 1985/3515 [09:05<04:44,  5.38it/s]
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train:  57%|█████▋    | 1986/3515 [09:05<04:14,  6.02it/s]
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train:  57%|█████▋    | 1987/3515 [09:05<04:31,  5.63it/s]
overall:  50%|████▉     | 1988/4000 [09:07<06:21,  5.27it/s]

train:  57%|█████▋    | 1988/3515 [09:05<04:49,  5.28it/s]
overall:  50%|████▉     | 1989/4000 [09:07<06:35,  5.08it/s]

train:  57%|█████▋    | 1989/3515 [09:05<05:00,  5.09it/s]
overall:  50%|████▉     | 1990/4000 [09:07<06:52,  4.87it/s]

train:  57%|█████▋    | 1990/3515 [09:06<05:12,  4.88it/s]
overall:  50%|████▉     | 1991/4000 [09:08<07:00,  4.78it/s]

train:  57%|█████▋    | 1991/3515 [09:06<05:18,  4.78it/s]
overall:  50%|████▉     | 1992/4000 [09:08<06:08,  5.45it/s]

train:  57%|█████▋    | 1992/3515 [09:06<04:39,  5.45it/s]
overall:  50%|████▉     | 1993/4000 [09:08<06:39,  5.02it/s]

train:  57%|█████▋    | 1993/3515 [09:06<05:03,  5.02it/s]
overall:  50%|████▉     | 1994/4000 [09:08<06:50,  4.89it/s]

train:  57%|█████▋    | 1994/3515 [09:06<05:11,  4.89it/s]
overall:  50%|████▉     | 1995/4000 [09:09<07:05,  4.71it/s]

train:  57%|█████▋    | 1995/3515 [09:07<05:22,  4.71it/s]
overall:  50%|████▉     | 1996/4000 [09:09<09:40,  3.45it/s]

train:  57%|█████▋    | 1996/3515 [09:07<07:19,  3.46it/s]
overall:  50%|████▉     | 1997/4000 [09:09<10:05,  3.31it/s]

train:  57%|█████▋    | 1997/3515 [09:07<07:38,  3.31it/s]
overall:  50%|████▉     | 1998/4000 [09:10<09:08,  3.65it/s]

train:  57%|█████▋    | 1998/3515 [09:08<06:55,  3.65it/s]
overall:  50%|████▉     | 1999/4000 [09:10<08:24,  3.97it/s]

train:  57%|█████▋    | 1999/3515 [09:08<06:21,  3.97it/s]dev loss: 2.244966983795166
dev per: 0.5669250780437045
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9566287994384766
train per: 0.5280016166923485
train loss: 1.9417682886123657
train per: 0.5282526712759271
train loss: 2.012195348739624
train per: 0.5329199343425132
train loss: 1.9622548818588257
train per: 0.5292379731311667
train loss: 2.0023608207702637
train per: 0.52719723183391
train loss: 1.9769424200057983
train per: 0.524428517893948
train loss: 1.9477097988128662
train per: 0.5215859030837005
train loss: 1.9652296304702759
train per: 0.5217260260209976
train loss: 1.956817388534546
train per: 0.5210905104618464
train loss: 1.951366662979126
train per: 0.5255333576756559
train loss: 1.9882261753082275
train per: 0.5268122794473787
train loss: 1.9251701831817627
train per: 0.5162069465243225
train loss: 1.9654366970062256
train per: 0.5208301695773222
train loss: 1.9229421615600586
train per: 0.5183089214380826
train loss: 1.9437252283096313
train per: 0.5180167195157106
train loss: 1.9981136322021484
train per: 0.5308284225393269
train loss: 1.9621801376342773
train per: 0.5218973950631327
train loss: 1.915114164352417
train per: 0.517051643717007
train loss: 1.954710602760315
train per: 0.5197987708425175
train loss: 1.9683510065078735
train per: 0.5227026403781851
train loss: 1.9205782413482666
train per: 0.518363141237948
train loss: 1.9348781108856201
train per: 0.5188179264867505
train loss: 1.9120042324066162
train per: 0.5196662693682956
train loss: 1.971552848815918
train per: 0.5226581797453924
train loss: 1.992630958557129
train per: 0.5341706955613323
train loss: 1.9657652378082275
train per: 0.5239834596829772
train loss: 1.9309062957763672
train per: 0.5202107538503107
train loss: 2.0010910034179688
train per: 0.5328522418076422
train loss: 1.9755516052246094
train per: 0.5237193425451825
train loss: 1.97685968875885
train per: 0.5260384605914362
train loss: 1.947446584701538
train per: 0.5210465563678338
train loss: 1.976000189781189
train per: 0.5309452591133484
train loss: 1.9685348272323608
train per: 0.5250461254612546
train loss: 1.9577668905258179
train per: 0.5229503169086076
train loss: 1.9176990985870361
train per: 0.5151456638748763
train loss: 1.8934389352798462
train per: 0.5271032548037766
train loss: 1.9789848327636719
train per: 0.5340305797409216
train loss: 1.950852394104004
train per: 0.5283768022433432
train loss: 1.9273655414581299
train per: 0.5206643071059079
train loss: 2.0138001441955566
train per: 0.5291643557034572
train loss: 1.9740203619003296
train per: 0.5212201591511937
train loss: 1.960466742515564
train per: 0.5226302525330453
train loss: 1.9305442571640015
train per: 0.5177006572395937
train loss: 1.8994777202606201
train per: 0.5134774284562676
train loss: 1.939937949180603
train per: 0.5174919330501195
train loss: 1.951992392539978
train per: 0.5235749283782698
train loss: 1.9321346282958984
train per: 0.520827142149579
train loss: 1.9895970821380615
train per: 0.5274648866638854
train loss: 1.9034678936004639
train per: 0.5155140365092227
train loss: 1.934653878211975
train per: 0.5157206825608133
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 558/2703 [00:00<00:00, 5578.01it/s]


word -> phonemes:  41%|████▏     | 1116/2703 [00:00<00:00, 4884.38it/s]


word -> phonemes:  62%|██████▏   | 1669/2703 [00:00<00:00, 5157.67it/s]


word -> phonemes:  81%|████████▏ | 2202/2703 [00:00<00:00, 5219.50it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5205.33it/s]



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


dev:   0%|          | 1/2703 [00:01<50:47,  1.13s/it]


dev:   0%|          | 3/2703 [00:01<16:06,  2.79it/s]


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dev:   2%|▏         | 58/2703 [00:04<02:19, 18.90it/s]


dev:   2%|▏         | 60/2703 [00:04<02:23, 18.42it/s]


dev:   2%|▏         | 62/2703 [00:04<02:25, 18.15it/s]


dev:   2%|▏         | 64/2703 [00:05<02:28, 17.75it/s]


dev:   2%|▏         | 66/2703 [00:05<02:40, 16.44it/s]


dev:   3%|▎         | 68/2703 [00:05<02:33, 17.19it/s]


dev:   3%|▎         | 70/2703 [00:05<02:36, 16.83it/s]


dev:   3%|▎         | 72/2703 [00:05<02:40, 16.40it/s]


dev:   3%|▎         | 74/2703 [00:05<02:37, 16.69it/s]


dev:   3%|▎         | 76/2703 [00:05<02:32, 17.17it/s]


dev:   3%|▎         | 78/2703 [00:05<02:26, 17.88it/s]


dev:   3%|▎         | 80/2703 [00:05<02:22, 18.37it/s]


dev:   3%|▎         | 82/2703 [00:06<02:27, 17.82it/s]


dev:   3%|▎         | 84/2703 [00:06<02:25, 17.98it/s]


dev:   3%|▎         | 86/2703 [00:06<02:27, 17.77it/s]


dev:   3%|▎         | 88/2703 [00:06<02:26, 17.84it/s]


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overall:  50%|█████     | 2010/4000 [11:21<55:59,  1.69s/it]  

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train:  85%|████████▌ | 2994/3515 [14:49<01:56,  4.48it/s]
overall:  75%|███████▍  | 2995/4000 [14:51<03:48,  4.40it/s]

train:  85%|████████▌ | 2995/3515 [14:49<01:58,  4.40it/s]
overall:  75%|███████▍  | 2996/4000 [14:52<03:45,  4.45it/s]

train:  85%|████████▌ | 2996/3515 [14:50<01:56,  4.45it/s]
overall:  75%|███████▍  | 2997/4000 [14:52<03:47,  4.41it/s]

train:  85%|████████▌ | 2997/3515 [14:50<01:57,  4.41it/s]
overall:  75%|███████▍  | 2998/4000 [14:52<03:40,  4.55it/s]

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overall:  75%|███████▍  | 2999/4000 [14:52<03:40,  4.55it/s]

train:  85%|████████▌ | 2999/3515 [14:50<01:53,  4.55it/s]dev loss: 2.233105421066284
dev per: 0.5641155046826223
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.887751579284668
train per: 0.5131525807059584
train loss: 1.9009917974472046
train per: 0.5231853728384184
train loss: 1.941270112991333
train per: 0.5177832919768404
train loss: 1.9610698223114014
train per: 0.5200547376368441
train loss: 1.9231576919555664
train per: 0.5126222310915984
train loss: 1.9084936380386353
train per: 0.5069181524058649
train loss: 1.9520056247711182
train per: 0.5167804122985998
train loss: 1.966437578201294
train per: 0.5225806451612903
train loss: 1.888628602027893
train per: 0.5081779681643382
train loss: 1.9179662466049194
train per: 0.5128205128205128
train loss: 1.9299780130386353
train per: 0.5163358510451431
train loss: 1.9408767223358154
train per: 0.5211605139710381
train loss: 1.988889455795288
train per: 0.5290846877673225
train loss: 1.9638782739639282
train per: 0.5211452141210724
train loss: 1.8910448551177979
train per: 0.5165673758865248
train loss: 1.9539629220962524
train per: 0.5225489439427851
train loss: 1.9589872360229492
train per: 0.523626310332911
train loss: 1.9336211681365967
train per: 0.5206617910295095
train loss: 1.9203433990478516
train per: 0.5156380068973718
train loss: 1.92804753780365
train per: 0.516438462133519
train loss: 1.9250037670135498
train per: 0.5208966362812517
train loss: 1.9812164306640625
train per: 0.5255340217852595
train loss: 1.9915196895599365
train per: 0.5251481297209282
train loss: 1.9261022806167603
train per: 0.5179279153261528
train loss: 1.9063632488250732
train per: 0.5143653516295026
train loss: 1.9065971374511719
train per: 0.513677087304613
train loss: 1.8920316696166992
train per: 0.5094798479446556
train loss: 1.9064792394638062
train per: 0.5141733416470814
train loss: 1.905561089515686
train per: 0.5133072310056004
train loss: 1.9808613061904907
train per: 0.5224848167777449
train loss: 1.889216661453247
train per: 0.5106578361531612
train loss: 1.8970892429351807
train per: 0.5132839327670342
train loss: 1.9242258071899414
train per: 0.5206944768119319
train loss: 1.9147074222564697
train per: 0.5179829068397704
train loss: 1.9489576816558838
train per: 0.5195185766614338
train loss: 1.9136807918548584
train per: 0.5191639552197651
train loss: 1.9615333080291748
train per: 0.5296264332388115
train loss: 1.8969576358795166
train per: 0.5124158847502607
train loss: 1.93025803565979
train per: 0.5167851081883751
train loss: 1.9027312994003296
train per: 0.513468223995198
train loss: 1.8721907138824463
train per: 0.5119077213742356
train loss: 1.9225410223007202
train per: 0.5194658691431869
train loss: 1.90212881565094
train per: 0.5187064384329853
train loss: 1.9784574508666992
train per: 0.5199070170240889
train loss: 1.9019546508789062
train per: 0.5140017599254619
train loss: 1.938392996788025
train per: 0.5129108861392326
train loss: 1.9440034627914429
train per: 0.5214271304648549
train loss: 1.9647839069366455
train per: 0.521606265703873
train loss: 1.9074792861938477
train per: 0.5195526495165484
train loss: 1.966516137123108
train per: 0.5291202288194102
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  16%|█▋        | 440/2703 [00:00<00:00, 4393.65it/s]


word -> phonemes:  37%|███▋      | 1004/2703 [00:00<00:00, 5120.89it/s]


word -> phonemes:  56%|█████▌    | 1517/2703 [00:00<00:00, 5113.42it/s]


word -> phonemes:  78%|███████▊  | 2095/2703 [00:00<00:00, 5373.80it/s]


word -> phonemes:  97%|█████████▋| 2633/2703 [00:00<00:00, 5188.82it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5128.77it/s]



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


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train: 100%|██████████| 3515/3515 [18:50<00:00,  4.98it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [18:50<00:00,  3.11it/s]
dev loss: 2.230804920196533
dev per: 0.5670551508844953
train loss: 1.8822444677352905
train per: 0.5124546251095256
train loss: 1.911664605140686
train per: 0.5140276185797719
train loss: 1.8933155536651611
train per: 0.5121933411214953
train loss: 1.8952986001968384
train per: 0.5070316044155452
train loss: 1.9178345203399658
train per: 0.5100243804293796
train loss: 1.9247734546661377
train per: 0.5182035137605362
train loss: 1.881555199623108
train per: 0.5120384828489397
train loss: 1.9397073984146118
train per: 0.5195600489901779
train loss: 1.9483150243759155
train per: 0.5172920349575479
train loss: 1.9056031703948975
train per: 0.5138604916551757
train loss: 1.9394327402114868
train per: 0.5199901079877999
train loss: 1.9712966680526733
train per: 0.5235919059621681
train loss: 1.8811925649642944
train per: 0.5152597811045414
train loss: 1.8989061117172241
train per: 0.5104023162957947
train loss: 1.9246046543121338
train per: 0.5202875085860073
train loss: 1.947685956954956
train per: 0.5179503544482688
train loss: 1.9470798969268799
train per: 0.5155820977484898
train loss: 1.9156179428100586
train per: 0.5191119488951723
train loss: 1.943187952041626
train per: 0.5249630957401941
train loss: 1.9354135990142822
train per: 0.5218170950388523
train loss: 1.947243332862854
train per: 0.5289165245143895
train loss: 1.9553924798965454
train per: 0.5215384216395653
train loss: 1.9690195322036743
train per: 0.5250352188343163
train loss: 1.9359357357025146
train per: 0.521229216152019
train loss: 1.9597381353378296
train per: 0.5177495925742224
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   9%|▉         | 331/3515 [00:00<00:00, 3301.86it/s]

word -> phonemes:  21%|██        | 741/3515 [00:00<00:00, 3769.43it/s]

word -> phonemes:  32%|███▏      | 1118/3515 [00:00<00:00, 3631.26it/s]

word -> phonemes:  44%|████▍     | 1545/3515 [00:00<00:00, 3877.20it/s]

word -> phonemes:  56%|█████▌    | 1960/3515 [00:00<00:00, 3973.50it/s]

word -> phonemes:  67%|██████▋   | 2366/3515 [00:00<00:00, 3995.34it/s]

word -> phonemes:  80%|███████▉  | 2808/3515 [00:00<00:00, 4132.99it/s]

word -> phonemes:  92%|█████████▏| 3222/3515 [00:00<00:00, 3855.38it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3885.42it/s]


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overall:  88%|████████▊ | 3531/4000 [18:59<01:39,  4.73it/s]

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overall:  88%|████████▊ | 3532/4000 [18:59<01:39,  4.70it/s]

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overall:  88%|████████▊ | 3533/4000 [18:59<01:36,  4.83it/s]

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overall:  88%|████████▊ | 3534/4000 [18:59<01:38,  4.75it/s]

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overall:  88%|████████▊ | 3535/4000 [18:59<01:39,  4.69it/s]

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overall:  88%|████████▊ | 3536/4000 [19:00<01:38,  4.72it/s]

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overall:  88%|████████▊ | 3538/4000 [19:00<01:24,  5.45it/s]

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overall:  88%|████████▊ | 3539/4000 [19:00<01:28,  5.23it/s]

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overall:  88%|████████▊ | 3540/4000 [19:00<01:50,  4.18it/s]

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overall:  89%|████████▊ | 3541/4000 [19:01<01:47,  4.28it/s]

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overall:  89%|████████▊ | 3544/4000 [19:01<01:30,  5.07it/s]

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overall:  89%|████████▊ | 3546/4000 [19:02<01:21,  5.60it/s]

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overall:  89%|████████▊ | 3548/4000 [19:02<01:42,  4.42it/s]

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overall:  89%|████████▉ | 3550/4000 [19:02<01:36,  4.67it/s]

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overall:  89%|████████▉ | 3551/4000 [19:03<01:36,  4.66it/s]

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overall:  89%|████████▉ | 3552/4000 [19:03<01:35,  4.67it/s]

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overall:  89%|████████▉ | 3553/4000 [19:03<01:37,  4.60it/s]

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overall:  89%|████████▉ | 3554/4000 [19:03<01:35,  4.65it/s]

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overall:  89%|████████▉ | 3556/4000 [19:04<01:21,  5.46it/s]

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overall:  89%|████████▉ | 3557/4000 [19:04<01:23,  5.32it/s]

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overall:  89%|████████▉ | 3558/4000 [19:04<01:25,  5.19it/s]

train:   1%|          | 43/3515 [00:09<11:09,  5.19it/s]
overall:  89%|████████▉ | 3559/4000 [19:04<01:16,  5.76it/s]

train:   1%|▏         | 44/3515 [00:10<10:02,  5.76it/s]
overall:  89%|████████▉ | 3560/4000 [19:04<01:36,  4.55it/s]

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overall:  89%|████████▉ | 3561/4000 [19:05<01:35,  4.59it/s]

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overall:  89%|████████▉ | 3577/4000 [19:08<01:33,  4.54it/s]

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overall:  89%|████████▉ | 3578/4000 [19:08<01:31,  4.60it/s]

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overall:  90%|████████▉ | 3590/4000 [19:11<01:26,  4.72it/s]

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overall:  90%|████████▉ | 3591/4000 [19:11<01:25,  4.79it/s]

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overall:  90%|████████▉ | 3592/4000 [19:11<01:22,  4.95it/s]

train:   2%|▏         | 77/3515 [00:17<11:34,  4.95it/s]
overall:  90%|████████▉ | 3593/4000 [19:11<01:24,  4.81it/s]

train:   2%|▏         | 78/3515 [00:17<11:55,  4.81it/s]
overall:  90%|████████▉ | 3594/4000 [19:12<01:23,  4.89it/s]

train:   2%|▏         | 79/3515 [00:17<11:42,  4.89it/s]
overall:  90%|████████▉ | 3595/4000 [19:12<01:18,  5.18it/s]

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overall:  90%|████████▉ | 3596/4000 [19:12<01:30,  4.47it/s]

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overall:  90%|████████▉ | 3597/4000 [19:12<01:30,  4.45it/s]

train:   2%|▏         | 82/3515 [00:18<12:51,  4.45it/s]
overall:  90%|████████▉ | 3598/4000 [19:12<01:26,  4.64it/s]

train:   2%|▏         | 83/3515 [00:18<12:19,  4.64it/s]
overall:  90%|████████▉ | 3599/4000 [19:13<01:21,  4.90it/s]

train:   2%|▏         | 84/3515 [00:18<11:39,  4.90it/s]
overall:  90%|█████████ | 3600/4000 [19:13<01:31,  4.35it/s]

train:   2%|▏         | 85/3515 [00:18<13:08,  4.35it/s]
overall:  90%|█████████ | 3601/4000 [19:13<01:29,  4.44it/s]

train:   2%|▏         | 86/3515 [00:19<12:52,  4.44it/s]
overall:  90%|█████████ | 3602/4000 [19:13<01:26,  4.61it/s]

train:   2%|▏         | 87/3515 [00:19<12:23,  4.61it/s]
overall:  90%|█████████ | 3603/4000 [19:14<01:25,  4.65it/s]

train:   3%|▎         | 88/3515 [00:19<12:16,  4.65it/s]
overall:  90%|█████████ | 3604/4000 [19:14<01:26,  4.59it/s]

train:   3%|▎         | 89/3515 [00:19<12:26,  4.59it/s]
overall:  90%|█████████ | 3606/4000 [19:14<01:07,  5.84it/s]

train:   3%|▎         | 91/3515 [00:19<09:46,  5.84it/s]
overall:  90%|█████████ | 3607/4000 [19:14<01:10,  5.56it/s]

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overall:  90%|█████████ | 3608/4000 [19:14<01:20,  4.84it/s]

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overall:  90%|█████████ | 3609/4000 [19:15<01:19,  4.89it/s]

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overall:  90%|█████████ | 3610/4000 [19:15<01:19,  4.89it/s]

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overall:  90%|█████████ | 3611/4000 [19:15<01:21,  4.80it/s]

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overall:  90%|█████████ | 3612/4000 [19:15<01:26,  4.47it/s]

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overall:  90%|█████████ | 3613/4000 [19:16<01:23,  4.61it/s]

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overall:  90%|█████████ | 3614/4000 [19:16<01:22,  4.68it/s]

train:   3%|▎         | 99/3515 [00:21<12:09,  4.68it/s]
overall:  90%|█████████ | 3615/4000 [19:16<01:22,  4.67it/s]

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overall:  90%|█████████ | 3616/4000 [19:16<01:23,  4.62it/s]

train:   3%|▎         | 101/3515 [00:22<12:19,  4.62it/s]
overall:  90%|█████████ | 3617/4000 [19:16<01:21,  4.70it/s]

train:   3%|▎         | 102/3515 [00:22<12:06,  4.70it/s]
overall:  90%|█████████ | 3618/4000 [19:17<01:22,  4.66it/s]

train:   3%|▎         | 103/3515 [00:22<12:12,  4.66it/s]
overall:  90%|█████████ | 3619/4000 [19:17<01:22,  4.59it/s]

train:   3%|▎         | 104/3515 [00:22<12:22,  4.59it/s]
overall:  90%|█████████ | 3620/4000 [19:17<01:36,  3.96it/s]

train:   3%|▎         | 105/3515 [00:23<14:21,  3.96it/s]
overall:  91%|█████████ | 3621/4000 [19:17<01:32,  4.10it/s]

train:   3%|▎         | 106/3515 [00:23<13:51,  4.10it/s]
overall:  91%|█████████ | 3622/4000 [19:18<01:27,  4.32it/s]

train:   3%|▎         | 107/3515 [00:23<13:08,  4.32it/s]
overall:  91%|█████████ | 3623/4000 [19:18<01:24,  4.48it/s]

train:   3%|▎         | 108/3515 [00:23<12:40,  4.48it/s]
overall:  91%|█████████ | 3624/4000 [19:18<01:29,  4.18it/s]

train:   3%|▎         | 109/3515 [00:23<13:33,  4.18it/s]
overall:  91%|█████████ | 3625/4000 [19:18<01:27,  4.30it/s]

train:   3%|▎         | 110/3515 [00:24<13:12,  4.30it/s]
overall:  91%|█████████ | 3626/4000 [19:18<01:22,  4.53it/s]

train:   3%|▎         | 111/3515 [00:24<12:30,  4.53it/s]
overall:  91%|█████████ | 3627/4000 [19:19<01:22,  4.55it/s]

train:   3%|▎         | 112/3515 [00:24<12:28,  4.55it/s]
overall:  91%|█████████ | 3629/4000 [19:19<01:10,  5.28it/s]

train:   3%|▎         | 114/3515 [00:24<10:44,  5.28it/s]
overall:  91%|█████████ | 3630/4000 [19:19<01:11,  5.18it/s]

train:   3%|▎         | 115/3515 [00:25<10:56,  5.18it/s]
overall:  91%|█████████ | 3631/4000 [19:19<01:11,  5.18it/s]

train:   3%|▎         | 116/3515 [00:25<10:56,  5.18it/s]
overall:  91%|█████████ | 3632/4000 [19:20<01:24,  4.34it/s]

train:   3%|▎         | 117/3515 [00:25<13:02,  4.34it/s]
overall:  91%|█████████ | 3633/4000 [19:20<01:22,  4.43it/s]

train:   3%|▎         | 118/3515 [00:25<12:47,  4.43it/s]
overall:  91%|█████████ | 3634/4000 [19:20<01:21,  4.50it/s]

train:   3%|▎         | 119/3515 [00:26<12:34,  4.50it/s]
overall:  91%|█████████ | 3635/4000 [19:20<01:19,  4.57it/s]

train:   3%|▎         | 120/3515 [00:26<12:23,  4.57it/s]
overall:  91%|█████████ | 3636/4000 [19:21<01:23,  4.34it/s]

train:   3%|▎         | 121/3515 [00:26<13:02,  4.34it/s]
overall:  91%|█████████ | 3637/4000 [19:21<01:22,  4.42it/s]

train:   3%|▎         | 122/3515 [00:26<12:47,  4.42it/s]
overall:  91%|█████████ | 3638/4000 [19:21<01:19,  4.56it/s]

train:   3%|▎         | 123/3515 [00:26<12:23,  4.56it/s]
overall:  91%|█████████ | 3639/4000 [19:21<01:18,  4.60it/s]

train:   4%|▎         | 124/3515 [00:27<12:17,  4.60it/s]
overall:  91%|█████████ | 3640/4000 [19:21<01:18,  4.60it/s]

train:   4%|▎         | 125/3515 [00:27<12:17,  4.60it/s]
overall:  91%|█████████ | 3641/4000 [19:22<01:17,  4.62it/s]

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overall:  91%|█████████ | 3642/4000 [19:22<01:16,  4.67it/s]

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overall:  91%|█████████ | 3643/4000 [19:22<01:16,  4.70it/s]

train:   4%|▎         | 128/3515 [00:28<12:01,  4.70it/s]
overall:  91%|█████████ | 3644/4000 [19:22<01:25,  4.18it/s]

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overall:  91%|█████████ | 3645/4000 [19:23<01:21,  4.35it/s]

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overall:  91%|█████████ | 3646/4000 [19:23<01:20,  4.41it/s]

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overall:  91%|█████████ | 3647/4000 [19:23<01:11,  4.94it/s]

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overall:  91%|█████████ | 3648/4000 [19:23<01:10,  4.96it/s]

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overall:  91%|█████████ | 3649/4000 [19:23<01:10,  4.95it/s]

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overall:  91%|█████████▏| 3650/4000 [19:24<01:06,  5.27it/s]

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overall:  91%|█████████▏| 3651/4000 [19:24<01:00,  5.81it/s]

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overall:  91%|█████████▏| 3652/4000 [19:24<01:06,  5.23it/s]

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overall:  91%|█████████▏| 3653/4000 [19:24<01:09,  4.96it/s]

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overall:  91%|█████████▏| 3655/4000 [19:24<01:01,  5.57it/s]

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overall:  91%|█████████▏| 3656/4000 [19:25<01:13,  4.71it/s]

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overall:  91%|█████████▏| 3657/4000 [19:25<01:14,  4.62it/s]

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overall:  91%|█████████▏| 3658/4000 [19:25<01:13,  4.68it/s]

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overall:  91%|█████████▏| 3659/4000 [19:25<01:12,  4.69it/s]

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overall:  92%|█████████▏| 3660/4000 [19:26<01:16,  4.43it/s]

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overall:  92%|█████████▏| 3661/4000 [19:26<01:14,  4.54it/s]

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overall:  92%|█████████▏| 3662/4000 [19:26<01:13,  4.59it/s]

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overall:  92%|█████████▏| 3664/4000 [19:26<01:03,  5.33it/s]

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overall:  92%|█████████▏| 3665/4000 [19:27<01:06,  5.05it/s]

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overall:  92%|█████████▏| 3666/4000 [19:27<01:07,  4.95it/s]

train:   4%|▍         | 151/3515 [00:32<11:19,  4.95it/s]
overall:  92%|█████████▏| 3668/4000 [19:27<00:57,  5.79it/s]

train:   4%|▍         | 153/3515 [00:33<09:40,  5.79it/s]
overall:  92%|█████████▏| 3669/4000 [19:27<01:01,  5.41it/s]

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overall:  92%|█████████▏| 3670/4000 [19:28<01:03,  5.19it/s]

train:   4%|▍         | 155/3515 [00:33<10:47,  5.19it/s]
overall:  92%|█████████▏| 3671/4000 [19:28<01:05,  5.05it/s]

train:   4%|▍         | 156/3515 [00:33<11:04,  5.05it/s]
overall:  92%|█████████▏| 3672/4000 [19:28<01:10,  4.64it/s]

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overall:  92%|█████████▏| 3674/4000 [19:28<01:01,  5.28it/s]

train:   5%|▍         | 159/3515 [00:34<10:35,  5.28it/s]
overall:  92%|█████████▏| 3675/4000 [19:29<01:03,  5.08it/s]

train:   5%|▍         | 160/3515 [00:34<11:00,  5.08it/s]
overall:  92%|█████████▏| 3676/4000 [19:29<01:05,  4.92it/s]

train:   5%|▍         | 161/3515 [00:34<11:22,  4.92it/s]
overall:  92%|█████████▏| 3677/4000 [19:29<01:05,  4.89it/s]

train:   5%|▍         | 162/3515 [00:34<11:25,  4.89it/s]
overall:  92%|█████████▏| 3678/4000 [19:29<01:07,  4.79it/s]

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overall:  92%|█████████▏| 3679/4000 [19:29<01:07,  4.77it/s]

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overall:  92%|█████████▏| 3680/4000 [19:30<01:17,  4.15it/s]

train:   5%|▍         | 165/3515 [00:35<13:27,  4.15it/s]
overall:  92%|█████████▏| 3681/4000 [19:30<01:15,  4.23it/s]

train:   5%|▍         | 166/3515 [00:35<13:11,  4.23it/s]
overall:  92%|█████████▏| 3683/4000 [19:30<01:02,  5.11it/s]

train:   5%|▍         | 168/3515 [00:36<10:54,  5.11it/s]
overall:  92%|█████████▏| 3684/4000 [19:30<01:06,  4.78it/s]

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overall:  92%|█████████▏| 3685/4000 [19:31<01:05,  4.80it/s]

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train:  14%|█▍        | 484/3515 [01:43<10:01,  5.04it/s]train loss: 1.9342228174209595
train per: 0.5180271419890622
train loss: 1.8966500759124756
train per: 0.5164671966454093
train loss: 1.9139072895050049
train per: 0.5200213832955731
train loss: 1.9747756719589233
train per: 0.5198817966903073
train loss: 1.937607765197754
train per: 0.5227324593655704
train loss: 1.9237215518951416
train per: 0.5183834474545996
train loss: 1.932011604309082
train per: 0.5125645438898451
train loss: 1.9062716960906982
train per: 0.5157231099086221
train loss: 1.9206669330596924
train per: 0.5240218055838598
train loss: 1.9298757314682007
train per: 0.52434302235531
train loss: 1.932837724685669
train per: 0.5199760547617188
train loss: 1.9706131219863892
train per: 0.5231816153502901
train loss: 1.8993213176727295
train per: 0.510346565847511
train loss: 1.9316059350967407
train per: 0.5175546216293821
train loss: 1.9625200033187866
train per: 0.5257244234180958
train loss: 1.910862922668457
train per: 0.5165917688577449
train loss: 1.8902931213378906
train per: 0.5114526378010935
train loss: 1.9273399114608765
train per: 0.5168750297095593
train loss: 1.9422948360443115
train per: 0.5202546010756403
train loss: 1.9105724096298218
train per: 0.5106671340109826
train loss: 1.9192924499511719
train per: 0.5187728937728938
train loss: 1.9308738708496094
train per: 0.5121773659827928
train loss: 1.9339364767074585
train per: 0.5172660327446915
train loss: 1.9195935726165771
train per: 0.5123273682163003
train loss: 1.9109032154083252
train per: 0.5138950809927181
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|██        | 552/2703 [00:00<00:00, 5511.18it/s]


word -> phonemes:  41%|████      | 1104/2703 [00:00<00:00, 5513.48it/s]


word -> phonemes:  61%|██████▏   | 1656/2703 [00:00<00:00, 5178.81it/s]


word -> phonemes:  81%|████████  | 2177/2703 [00:00<00:00, 4966.64it/s]


word -> phonemes:  99%|█████████▉| 2676/2703 [00:00<00:00, 4940.27it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5031.17it/s]



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overall: 100%|█████████▉| 3999/4000 [22:50<00:00,  5.04it/s]

train:  14%|█▍        | 484/3515 [03:55<10:01,  5.04it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:50<00:00,  5.04it/s]

train:  14%|█▍        | 484/3515 [03:55<10:01,  5.04it/s]
overall: 100%|██████████| 4000/4000 [22:50<00:00, 37.11s/it]

train:  14%|█▍        | 485/3515 [03:55<31:13:59, 37.11s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:56<24:36,  2.05it/s]   

overall: 100%|██████████| 4000/4000 [22:50<00:00,  2.92it/s]
dev loss: 2.2461822032928467
dev per: 0.5649167533818938
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt