/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-10-05 17:09:49 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_25hz_2nd_iter_1x {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_2nd_iter_1x
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:  23%|██▎       | 807/3515 [00:00<00:01, 1845.58it/s]

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word -> phonemes:  61%|██████    | 2144/3515 [00:01<00:00, 1967.61it/s]

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word -> phonemes:  72%|███████▏  | 2530/3515 [00:01<00:00, 1791.05it/s]

word -> phonemes:  78%|███████▊  | 2746/3515 [00:01<00:00, 1891.12it/s]

word -> phonemes:  85%|████████▍ | 2973/3515 [00:01<00:00, 1997.30it/s]

word -> phonemes:  91%|█████████ | 3188/3515 [00:01<00:00, 2040.94it/s]

word -> phonemes:  97%|█████████▋| 3395/3515 [00:01<00:00, 1995.17it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 1967.63it/s]


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train:   4%|▍         | 145/3515 [00:31<10:54,  5.15it/s]
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train:   4%|▍         | 146/3515 [00:31<13:17,  4.23it/s]
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train:   4%|▍         | 147/3515 [00:32<12:21,  4.54it/s]
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train:   4%|▍         | 152/3515 [00:32<10:23,  5.39it/s]
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train:   4%|▍         | 153/3515 [00:33<10:43,  5.22it/s]
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train:   4%|▍         | 154/3515 [00:33<11:39,  4.80it/s]
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train:   4%|▍         | 155/3515 [00:33<11:38,  4.81it/s]
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train:   4%|▍         | 157/3515 [00:33<10:59,  5.09it/s]
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train:   4%|▍         | 158/3515 [00:34<11:09,  5.01it/s]
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train:   5%|▍         | 159/3515 [00:34<11:30,  4.86it/s]
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train:   5%|▍         | 160/3515 [00:34<11:35,  4.83it/s]
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train:   5%|▍         | 161/3515 [00:34<11:39,  4.79it/s]
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train:   5%|▍         | 162/3515 [00:35<11:41,  4.78it/s]
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train:   5%|▍         | 163/3515 [00:35<11:44,  4.75it/s]
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train:   5%|▍         | 164/3515 [00:35<11:43,  4.76it/s]
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train:   5%|▍         | 165/3515 [00:35<11:37,  4.80it/s]
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train:   5%|▍         | 166/3515 [00:35<11:34,  4.82it/s]
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train:   5%|▍         | 168/3515 [00:36<11:55,  4.68it/s]
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train:   5%|▍         | 169/3515 [00:36<14:11,  3.93it/s]
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train:   5%|▍         | 170/3515 [00:36<15:19,  3.64it/s]
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train:   5%|▍         | 171/3515 [00:37<13:55,  4.00it/s]
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train:   5%|▍         | 173/3515 [00:37<10:08,  5.49it/s]
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train:   5%|▍         | 174/3515 [00:37<10:30,  5.30it/s]
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train:   5%|▍         | 175/3515 [00:37<10:48,  5.15it/s]
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train:   5%|▌         | 176/3515 [00:38<11:13,  4.96it/s]
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train:   5%|▌         | 177/3515 [00:38<11:30,  4.84it/s]
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train:   5%|▌         | 178/3515 [00:38<12:04,  4.61it/s]
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train:   5%|▌         | 179/3515 [00:38<11:58,  4.65it/s]
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train:   5%|▌         | 180/3515 [00:38<11:39,  4.77it/s]
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train:   5%|▌         | 181/3515 [00:39<12:54,  4.30it/s]
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train:   5%|▌         | 182/3515 [00:39<12:47,  4.34it/s]
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train:   5%|▌         | 183/3515 [00:39<12:47,  4.34it/s]
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train:   5%|▌         | 184/3515 [00:39<11:15,  4.93it/s]
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train:   5%|▌         | 185/3515 [00:39<11:14,  4.94it/s]
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train:   5%|▌         | 186/3515 [00:40<11:25,  4.85it/s]
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train:   5%|▌         | 187/3515 [00:40<11:40,  4.75it/s]
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train:   5%|▌         | 188/3515 [00:40<11:25,  4.86it/s]
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train:   5%|▌         | 189/3515 [00:40<11:32,  4.80it/s]
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train:   5%|▌         | 190/3515 [00:41<11:40,  4.75it/s]
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train:   5%|▌         | 191/3515 [00:41<11:30,  4.81it/s]
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train:   5%|▌         | 192/3515 [00:41<11:33,  4.79it/s]
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train:   6%|▌         | 195/3515 [00:42<13:27,  4.11it/s]
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overall:   9%|▉         | 373/4000 [01:24<14:11,  4.26it/s]

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overall:   9%|▉         | 374/4000 [01:24<13:02,  4.63it/s]

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overall:   9%|▉         | 375/4000 [01:24<11:14,  5.37it/s]

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overall:   9%|▉         | 377/4000 [01:24<09:49,  6.14it/s]

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overall:   9%|▉         | 378/4000 [01:25<10:37,  5.68it/s]

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overall:   9%|▉         | 379/4000 [01:25<11:18,  5.34it/s]

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overall:  10%|▉         | 381/4000 [01:25<14:18,  4.21it/s]

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overall:  10%|▉         | 383/4000 [01:26<13:14,  4.55it/s]

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overall:  10%|▉         | 384/4000 [01:26<13:22,  4.51it/s]

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overall:  10%|▉         | 385/4000 [01:26<13:11,  4.57it/s]

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overall:  10%|▉         | 386/4000 [01:27<14:41,  4.10it/s]

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overall:  10%|▉         | 388/4000 [01:27<13:26,  4.48it/s]

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overall:  10%|█         | 405/4000 [01:31<14:03,  4.26it/s]

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overall:  10%|█         | 406/4000 [01:31<13:43,  4.37it/s]

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overall:  10%|█         | 407/4000 [01:31<13:17,  4.50it/s]

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overall:  10%|█         | 408/4000 [01:31<13:17,  4.50it/s]

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overall:  10%|█         | 409/4000 [01:32<12:59,  4.61it/s]

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overall:  10%|█         | 410/4000 [01:32<14:57,  4.00it/s]

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overall:  10%|█         | 411/4000 [01:32<13:45,  4.35it/s]

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overall:  10%|█         | 412/4000 [01:32<13:52,  4.31it/s]

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overall:  10%|█         | 413/4000 [01:32<13:06,  4.56it/s]

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overall:  10%|█         | 414/4000 [01:33<12:53,  4.64it/s]

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overall:  10%|█         | 415/4000 [01:33<12:09,  4.92it/s]

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overall:  10%|█         | 418/4000 [01:33<11:36,  5.14it/s]

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overall:  10%|█         | 419/4000 [01:34<11:50,  5.04it/s]

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overall:  10%|█         | 420/4000 [01:34<12:12,  4.89it/s]

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overall:  11%|█         | 421/4000 [01:34<13:51,  4.31it/s]

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overall:  11%|█         | 422/4000 [01:34<13:50,  4.31it/s]

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overall:  11%|█         | 423/4000 [01:35<13:27,  4.43it/s]

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overall:  11%|█         | 424/4000 [01:35<12:00,  4.96it/s]

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overall:  11%|█         | 426/4000 [01:35<12:22,  4.81it/s]

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overall:  11%|█         | 428/4000 [01:36<12:36,  4.72it/s]

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overall:  11%|█         | 431/4000 [01:36<12:40,  4.69it/s]

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overall:  11%|█         | 432/4000 [01:36<12:50,  4.63it/s]

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overall:  11%|█         | 433/4000 [01:37<12:43,  4.67it/s]

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overall:  11%|█         | 434/4000 [01:37<14:47,  4.02it/s]

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overall:  11%|█         | 435/4000 [01:37<14:08,  4.20it/s]

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overall:  11%|█         | 436/4000 [01:37<13:19,  4.46it/s]

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overall:  11%|█         | 437/4000 [01:38<13:16,  4.47it/s]

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overall:  11%|█         | 438/4000 [01:38<12:55,  4.59it/s]

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overall:  11%|█         | 439/4000 [01:38<12:53,  4.61it/s]

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overall:  11%|█         | 440/4000 [01:38<11:46,  5.04it/s]

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overall:  11%|█         | 441/4000 [01:38<12:04,  4.91it/s]

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overall:  11%|█         | 442/4000 [01:39<12:21,  4.80it/s]

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overall:  11%|█         | 443/4000 [01:39<12:20,  4.80it/s]

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overall:  11%|█         | 444/4000 [01:39<12:48,  4.63it/s]

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overall:  11%|█         | 445/4000 [01:39<14:10,  4.18it/s]

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overall:  11%|█         | 446/4000 [01:40<14:02,  4.22it/s]

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overall:  11%|█         | 447/4000 [01:40<13:40,  4.33it/s]

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overall:  11%|█         | 448/4000 [01:40<13:32,  4.37it/s]

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overall:  11%|█         | 449/4000 [01:40<13:44,  4.31it/s]

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overall:  11%|█▏        | 450/4000 [01:40<13:13,  4.47it/s]

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overall:  11%|█▏        | 456/4000 [01:42<13:58,  4.23it/s]

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overall:  11%|█▏        | 457/4000 [01:42<13:24,  4.40it/s]

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overall:  11%|█▏        | 458/4000 [01:42<15:30,  3.81it/s]

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overall:  12%|█▏        | 460/4000 [01:43<14:06,  4.18it/s]

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overall:  13%|█▎        | 536/4000 [01:59<11:06,  5.20it/s]

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overall:  13%|█▎        | 537/4000 [02:00<11:27,  5.03it/s]

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overall:  13%|█▎        | 538/4000 [02:00<10:35,  5.45it/s]

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overall:  25%|██▍       | 983/4000 [03:35<11:15,  4.47it/s]

train:  28%|██▊       | 983/3515 [03:32<09:27,  4.47it/s]
overall:  25%|██▍       | 984/4000 [03:36<11:13,  4.48it/s]

train:  28%|██▊       | 984/3515 [03:32<09:24,  4.48it/s]
overall:  25%|██▍       | 985/4000 [03:36<11:04,  4.53it/s]

train:  28%|██▊       | 985/3515 [03:32<09:18,  4.53it/s]
overall:  25%|██▍       | 986/4000 [03:36<12:02,  4.17it/s]

train:  28%|██▊       | 986/3515 [03:32<10:05,  4.17it/s]
overall:  25%|██▍       | 987/4000 [03:36<11:19,  4.43it/s]

train:  28%|██▊       | 987/3515 [03:33<09:30,  4.43it/s]
overall:  25%|██▍       | 988/4000 [03:37<11:08,  4.51it/s]

train:  28%|██▊       | 988/3515 [03:33<09:20,  4.51it/s]
overall:  25%|██▍       | 989/4000 [03:37<10:39,  4.71it/s]

train:  28%|██▊       | 989/3515 [03:33<08:56,  4.71it/s]
overall:  25%|██▍       | 990/4000 [03:37<10:25,  4.81it/s]

train:  28%|██▊       | 990/3515 [03:33<08:45,  4.81it/s]
overall:  25%|██▍       | 991/4000 [03:37<10:32,  4.76it/s]

train:  28%|██▊       | 991/3515 [03:33<08:50,  4.76it/s]
overall:  25%|██▍       | 992/4000 [03:37<10:30,  4.77it/s]

train:  28%|██▊       | 992/3515 [03:34<08:48,  4.77it/s]
overall:  25%|██▍       | 993/4000 [03:38<10:32,  4.76it/s]

train:  28%|██▊       | 993/3515 [03:34<08:50,  4.76it/s]
overall:  25%|██▍       | 994/4000 [03:38<11:16,  4.44it/s]

train:  28%|██▊       | 994/3515 [03:34<09:27,  4.44it/s]
overall:  25%|██▍       | 995/4000 [03:38<11:09,  4.49it/s]

train:  28%|██▊       | 995/3515 [03:34<09:21,  4.49it/s]
overall:  25%|██▍       | 996/4000 [03:38<10:23,  4.82it/s]

train:  28%|██▊       | 996/3515 [03:35<08:42,  4.82it/s]
overall:  25%|██▍       | 997/4000 [03:39<11:28,  4.36it/s]

train:  28%|██▊       | 997/3515 [03:35<09:37,  4.36it/s]
overall:  25%|██▍       | 998/4000 [03:39<11:11,  4.47it/s]

train:  28%|██▊       | 998/3515 [03:35<09:22,  4.47it/s]
overall:  25%|██▍       | 999/4000 [03:39<10:41,  4.68it/s]

train:  28%|██▊       | 999/3515 [03:35<08:57,  4.68it/s]train loss: 3.961526393890381
train per: 0.8920736117435911
train loss: 2.487006425857544
train per: 0.6370425308815632
train loss: 2.2525887489318848
train per: 0.5936713132414402
train loss: 2.190255880355835
train per: 0.5760268914410859
train loss: 2.1494412422180176
train per: 0.5635418117657984
train loss: 2.10908579826355
train per: 0.5590212422694273
train loss: 2.038581132888794
train per: 0.5445897160698605
train loss: 2.1148688793182373
train per: 0.5564207505049431
train loss: 2.002192735671997
train per: 0.5334776896501386
train loss: 1.985131859779358
train per: 0.5310496026308578
train loss: 1.9969552755355835
train per: 0.539401279587162
train loss: 2.0032145977020264
train per: 0.5342879793875731
train loss: 2.058046579360962
train per: 0.5433011537555922
train loss: 2.0094735622406006
train per: 0.5286779691384291
train loss: 1.93894362449646
train per: 0.5209672482399755
train loss: 1.9597047567367554
train per: 0.5261749651000466
train loss: 1.927868127822876
train per: 0.5177988576091391
train loss: 1.9563891887664795
train per: 0.52702816074275
train loss: 1.9919780492782593
train per: 0.5270899325161823
train loss: 1.9353656768798828
train per: 0.526635114042596
train loss: 1.9181115627288818
train per: 0.515499765715554
train loss: 1.9738070964813232
train per: 0.5285165373314247
train loss: 1.9716918468475342
train per: 0.5169528745223769
train loss: 1.9673560857772827
train per: 0.5214843280893479
train loss: 1.9346469640731812
train per: 0.5106335547728388
train loss: 1.889550805091858
train per: 0.5076823757262751
train loss: 1.940281867980957
train per: 0.5146884858044164
train loss: 1.900855302810669
train per: 0.5093522885198095
train loss: 1.8905080556869507
train per: 0.5029802363275123
train loss: 1.911158561706543
train per: 0.5154195496587964
train loss: 1.9380611181259155
train per: 0.5145903883565098
train loss: 1.8840583562850952
train per: 0.5006368490667712
train loss: 1.9356769323349
train per: 0.5155384789241723
train loss: 1.917398452758789
train per: 0.5147081752507666
train loss: 1.8991447687149048
train per: 0.5127296516382271
train loss: 1.914009690284729
train per: 0.5177423126388402
train loss: 1.9620826244354248
train per: 0.5147293367107608
train loss: 1.951882004737854
train per: 0.5204386599180525
train loss: 1.929140329360962
train per: 0.5162186071656756
train loss: 1.9345096349716187
train per: 0.5198430309967065
train loss: 1.8932279348373413
train per: 0.5095578501456182
train loss: 1.8958250284194946
train per: 0.5120432574143864
train loss: 1.906585693359375
train per: 0.5099679281590763
train loss: 1.9481700658798218
train per: 0.5210833480710442
train loss: 1.8893489837646484
train per: 0.5040242210167781
train loss: 1.9062799215316772
train per: 0.5104252400548697
train loss: 1.9232609272003174
train per: 0.5179162357807653
train loss: 1.9295707941055298
train per: 0.5196403984773629
train loss: 1.8839528560638428
train per: 0.5039957130542159
train loss: 1.856797456741333
train per: 0.49808533241099884
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 210/2703 [00:00<00:01, 2097.74it/s]


word -> phonemes:  16%|█▌        | 420/2703 [00:00<00:01, 1697.25it/s]


word -> phonemes:  25%|██▍       | 667/2703 [00:00<00:01, 2009.24it/s]


word -> phonemes:  32%|███▏      | 875/2703 [00:00<00:01, 1523.87it/s]


word -> phonemes:  39%|███▊      | 1044/2703 [00:00<00:01, 1532.33it/s]


word -> phonemes:  48%|████▊     | 1284/2703 [00:00<00:00, 1771.23it/s]


word -> phonemes:  54%|█████▍    | 1473/2703 [00:00<00:00, 1690.20it/s]


word -> phonemes:  64%|██████▍   | 1725/2703 [00:00<00:00, 1919.29it/s]


word -> phonemes:  72%|███████▏  | 1943/2703 [00:01<00:00, 1993.12it/s]


word -> phonemes:  80%|███████▉  | 2160/2703 [00:01<00:00, 2043.16it/s]


word -> phonemes:  88%|████████▊ | 2370/2703 [00:01<00:00, 2058.66it/s]


word -> phonemes:  96%|█████████▌| 2595/2703 [00:01<00:00, 2114.64it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1891.85it/s]



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overall:  47%|████▋     | 1872/4000 [09:11<07:41,  4.61it/s]

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overall:  47%|████▋     | 1878/4000 [09:13<07:45,  4.56it/s]

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overall:  47%|████▋     | 1883/4000 [09:14<08:54,  3.96it/s]

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overall:  47%|████▋     | 1886/4000 [09:15<08:20,  4.22it/s]

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overall:  47%|████▋     | 1887/4000 [09:15<08:43,  4.03it/s]

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overall:  47%|████▋     | 1888/4000 [09:15<08:40,  4.06it/s]

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overall:  47%|████▋     | 1889/4000 [09:15<08:29,  4.15it/s]

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overall:  47%|████▋     | 1890/4000 [09:16<07:43,  4.55it/s]

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overall:  47%|████▋     | 1891/4000 [09:16<07:53,  4.46it/s]

train:  54%|█████▍    | 1891/3515 [09:12<06:04,  4.46it/s]
overall:  47%|████▋     | 1892/4000 [09:16<08:30,  4.13it/s]

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overall:  47%|████▋     | 1893/4000 [09:16<08:17,  4.24it/s]

train:  54%|█████▍    | 1893/3515 [09:13<06:22,  4.24it/s]
overall:  47%|████▋     | 1894/4000 [09:17<08:08,  4.31it/s]

train:  54%|█████▍    | 1894/3515 [09:13<06:16,  4.31it/s]
overall:  47%|████▋     | 1895/4000 [09:17<07:37,  4.60it/s]

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overall:  47%|████▋     | 1896/4000 [09:17<06:46,  5.18it/s]

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overall:  47%|████▋     | 1897/4000 [09:17<07:07,  4.91it/s]

train:  54%|█████▍    | 1897/3515 [09:13<05:29,  4.91it/s]
overall:  47%|████▋     | 1898/4000 [09:17<07:22,  4.75it/s]

train:  54%|█████▍    | 1898/3515 [09:14<05:40,  4.75it/s]
overall:  47%|████▋     | 1899/4000 [09:18<07:25,  4.71it/s]

train:  54%|█████▍    | 1899/3515 [09:14<05:42,  4.71it/s]
overall:  48%|████▊     | 1900/4000 [09:18<07:47,  4.49it/s]

train:  54%|█████▍    | 1900/3515 [09:14<05:59,  4.49it/s]
overall:  48%|████▊     | 1901/4000 [09:18<07:32,  4.63it/s]

train:  54%|█████▍    | 1901/3515 [09:14<05:48,  4.63it/s]
overall:  48%|████▊     | 1902/4000 [09:18<06:40,  5.24it/s]

train:  54%|█████▍    | 1902/3515 [09:14<05:07,  5.24it/s]
overall:  48%|████▊     | 1903/4000 [09:18<07:02,  4.96it/s]

train:  54%|█████▍    | 1903/3515 [09:15<05:24,  4.96it/s]
overall:  48%|████▊     | 1904/4000 [09:19<07:25,  4.71it/s]

train:  54%|█████▍    | 1904/3515 [09:15<05:42,  4.71it/s]
overall:  48%|████▊     | 1905/4000 [09:19<08:56,  3.91it/s]

train:  54%|█████▍    | 1905/3515 [09:15<06:52,  3.91it/s]
overall:  48%|████▊     | 1906/4000 [09:19<08:38,  4.04it/s]

train:  54%|█████▍    | 1906/3515 [09:16<06:38,  4.04it/s]
overall:  48%|████▊     | 1907/4000 [09:19<07:35,  4.60it/s]

train:  54%|█████▍    | 1907/3515 [09:16<05:49,  4.60it/s]
overall:  48%|████▊     | 1908/4000 [09:20<07:58,  4.37it/s]

train:  54%|█████▍    | 1908/3515 [09:16<06:07,  4.37it/s]
overall:  48%|████▊     | 1909/4000 [09:20<07:52,  4.43it/s]

train:  54%|█████▍    | 1909/3515 [09:16<06:02,  4.43it/s]
overall:  48%|████▊     | 1910/4000 [09:20<07:53,  4.41it/s]

train:  54%|█████▍    | 1910/3515 [09:16<06:03,  4.41it/s]
overall:  48%|████▊     | 1911/4000 [09:20<07:16,  4.79it/s]

train:  54%|█████▍    | 1911/3515 [09:17<05:34,  4.79it/s]
overall:  48%|████▊     | 1912/4000 [09:20<06:10,  5.64it/s]

train:  54%|█████▍    | 1912/3515 [09:17<04:44,  5.64it/s]
overall:  48%|████▊     | 1913/4000 [09:21<06:37,  5.25it/s]

train:  54%|█████▍    | 1913/3515 [09:17<05:05,  5.25it/s]
overall:  48%|████▊     | 1914/4000 [09:21<06:38,  5.24it/s]

train:  54%|█████▍    | 1914/3515 [09:17<05:05,  5.24it/s]
overall:  48%|████▊     | 1915/4000 [09:21<07:06,  4.89it/s]

train:  54%|█████▍    | 1915/3515 [09:17<05:27,  4.89it/s]
overall:  48%|████▊     | 1916/4000 [09:21<06:52,  5.05it/s]

train:  55%|█████▍    | 1916/3515 [09:17<05:16,  5.05it/s]
overall:  48%|████▊     | 1917/4000 [09:21<07:15,  4.79it/s]

train:  55%|█████▍    | 1917/3515 [09:18<05:33,  4.79it/s]
overall:  48%|████▊     | 1918/4000 [09:22<07:19,  4.73it/s]

train:  55%|█████▍    | 1918/3515 [09:18<05:37,  4.73it/s]
overall:  48%|████▊     | 1919/4000 [09:22<07:25,  4.67it/s]

train:  55%|█████▍    | 1919/3515 [09:18<05:41,  4.67it/s]
overall:  48%|████▊     | 1920/4000 [09:22<07:59,  4.34it/s]

train:  55%|█████▍    | 1920/3515 [09:18<06:07,  4.34it/s]
overall:  48%|████▊     | 1921/4000 [09:22<07:52,  4.40it/s]

train:  55%|█████▍    | 1921/3515 [09:19<06:02,  4.40it/s]
overall:  48%|████▊     | 1922/4000 [09:23<07:48,  4.43it/s]

train:  55%|█████▍    | 1922/3515 [09:19<05:59,  4.43it/s]
overall:  48%|████▊     | 1923/4000 [09:23<07:45,  4.46it/s]

train:  55%|█████▍    | 1923/3515 [09:19<05:56,  4.46it/s]
overall:  48%|████▊     | 1924/4000 [09:23<07:53,  4.38it/s]

train:  55%|█████▍    | 1924/3515 [09:19<06:03,  4.38it/s]
overall:  48%|████▊     | 1925/4000 [09:23<07:22,  4.69it/s]

train:  55%|█████▍    | 1925/3515 [09:19<05:38,  4.69it/s]
overall:  48%|████▊     | 1926/4000 [09:23<07:22,  4.68it/s]

train:  55%|█████▍    | 1926/3515 [09:20<05:39,  4.68it/s]
overall:  48%|████▊     | 1927/4000 [09:24<07:19,  4.71it/s]

train:  55%|█████▍    | 1927/3515 [09:20<05:36,  4.71it/s]
overall:  48%|████▊     | 1929/4000 [09:24<08:26,  4.09it/s]

train:  55%|█████▍    | 1929/3515 [09:20<06:27,  4.09it/s]
overall:  48%|████▊     | 1930/4000 [09:24<08:15,  4.18it/s]

train:  55%|█████▍    | 1930/3515 [09:21<06:19,  4.18it/s]
overall:  48%|████▊     | 1931/4000 [09:25<08:04,  4.27it/s]

train:  55%|█████▍    | 1931/3515 [09:21<06:10,  4.27it/s]
overall:  48%|████▊     | 1932/4000 [09:25<08:13,  4.19it/s]

train:  55%|█████▍    | 1932/3515 [09:21<06:17,  4.19it/s]
overall:  48%|████▊     | 1933/4000 [09:25<08:01,  4.29it/s]

train:  55%|█████▍    | 1933/3515 [09:21<06:08,  4.29it/s]
overall:  48%|████▊     | 1934/4000 [09:25<07:54,  4.36it/s]

train:  55%|█████▌    | 1934/3515 [09:22<06:02,  4.36it/s]
overall:  48%|████▊     | 1935/4000 [09:26<08:24,  4.10it/s]

train:  55%|█████▌    | 1935/3515 [09:22<06:25,  4.10it/s]
overall:  48%|████▊     | 1936/4000 [09:26<07:04,  4.86it/s]

train:  55%|█████▌    | 1936/3515 [09:22<05:25,  4.86it/s]
overall:  48%|████▊     | 1937/4000 [09:26<07:07,  4.82it/s]

train:  55%|█████▌    | 1937/3515 [09:22<05:27,  4.82it/s]
overall:  48%|████▊     | 1938/4000 [09:26<07:03,  4.87it/s]

train:  55%|█████▌    | 1938/3515 [09:22<05:23,  4.87it/s]
overall:  48%|████▊     | 1939/4000 [09:26<07:13,  4.75it/s]

train:  55%|█████▌    | 1939/3515 [09:23<05:31,  4.75it/s]
overall:  48%|████▊     | 1940/4000 [09:27<07:41,  4.46it/s]

train:  55%|█████▌    | 1940/3515 [09:23<05:53,  4.45it/s]
overall:  49%|████▊     | 1941/4000 [09:27<07:34,  4.53it/s]

train:  55%|█████▌    | 1941/3515 [09:23<05:47,  4.53it/s]
overall:  49%|████▊     | 1942/4000 [09:27<07:36,  4.51it/s]

train:  55%|█████▌    | 1942/3515 [09:23<05:48,  4.52it/s]
overall:  49%|████▊     | 1943/4000 [09:27<07:35,  4.51it/s]

train:  55%|█████▌    | 1943/3515 [09:24<05:48,  4.52it/s]
overall:  49%|████▊     | 1944/4000 [09:27<06:49,  5.02it/s]

train:  55%|█████▌    | 1944/3515 [09:24<05:12,  5.02it/s]
overall:  49%|████▊     | 1945/4000 [09:28<07:01,  4.88it/s]

train:  55%|█████▌    | 1945/3515 [09:24<05:21,  4.88it/s]
overall:  49%|████▊     | 1946/4000 [09:28<07:10,  4.77it/s]

train:  55%|█████▌    | 1946/3515 [09:24<05:29,  4.77it/s]
overall:  49%|████▊     | 1948/4000 [09:28<06:14,  5.49it/s]

train:  55%|█████▌    | 1948/3515 [09:24<04:45,  5.49it/s]
overall:  49%|████▊     | 1949/4000 [09:28<06:33,  5.22it/s]

train:  55%|█████▌    | 1949/3515 [09:25<05:00,  5.22it/s]
overall:  49%|████▉     | 1950/4000 [09:29<06:53,  4.96it/s]

train:  55%|█████▌    | 1950/3515 [09:25<05:15,  4.96it/s]
overall:  49%|████▉     | 1951/4000 [09:29<07:01,  4.86it/s]

train:  56%|█████▌    | 1951/3515 [09:25<05:21,  4.86it/s]
overall:  49%|████▉     | 1952/4000 [09:29<07:06,  4.80it/s]

train:  56%|█████▌    | 1952/3515 [09:25<05:25,  4.80it/s]
overall:  49%|████▉     | 1953/4000 [09:30<09:50,  3.47it/s]

train:  56%|█████▌    | 1953/3515 [09:26<07:30,  3.47it/s]
overall:  49%|████▉     | 1954/4000 [09:30<09:18,  3.67it/s]

train:  56%|█████▌    | 1954/3515 [09:26<07:05,  3.67it/s]
overall:  49%|████▉     | 1955/4000 [09:30<08:34,  3.98it/s]

train:  56%|█████▌    | 1955/3515 [09:26<06:32,  3.98it/s]
overall:  49%|████▉     | 1956/4000 [09:30<08:19,  4.09it/s]

train:  56%|█████▌    | 1956/3515 [09:26<06:20,  4.09it/s]
overall:  49%|████▉     | 1957/4000 [09:30<08:10,  4.16it/s]

train:  56%|█████▌    | 1957/3515 [09:27<06:14,  4.16it/s]
overall:  49%|████▉     | 1958/4000 [09:31<08:00,  4.25it/s]

train:  56%|█████▌    | 1958/3515 [09:27<06:06,  4.25it/s]
overall:  49%|████▉     | 1959/4000 [09:31<08:14,  4.13it/s]

train:  56%|█████▌    | 1959/3515 [09:27<06:16,  4.13it/s]
overall:  49%|████▉     | 1960/4000 [09:31<08:11,  4.15it/s]

train:  56%|█████▌    | 1960/3515 [09:27<06:14,  4.15it/s]
overall:  49%|████▉     | 1961/4000 [09:31<08:02,  4.23it/s]

train:  56%|█████▌    | 1961/3515 [09:28<06:07,  4.23it/s]
overall:  49%|████▉     | 1962/4000 [09:32<07:53,  4.30it/s]

train:  56%|█████▌    | 1962/3515 [09:28<06:00,  4.30it/s]
overall:  49%|████▉     | 1963/4000 [09:32<07:47,  4.35it/s]

train:  56%|█████▌    | 1963/3515 [09:28<05:56,  4.35it/s]
overall:  49%|████▉     | 1964/4000 [09:32<07:52,  4.31it/s]

train:  56%|█████▌    | 1964/3515 [09:28<05:59,  4.31it/s]
overall:  49%|████▉     | 1965/4000 [09:32<07:45,  4.37it/s]

train:  56%|█████▌    | 1965/3515 [09:29<05:54,  4.37it/s]
overall:  49%|████▉     | 1966/4000 [09:32<07:27,  4.55it/s]

train:  56%|█████▌    | 1966/3515 [09:29<05:40,  4.55it/s]
overall:  49%|████▉     | 1967/4000 [09:33<07:06,  4.76it/s]

train:  56%|█████▌    | 1967/3515 [09:29<05:25,  4.76it/s]
overall:  49%|████▉     | 1968/4000 [09:33<07:20,  4.61it/s]

train:  56%|█████▌    | 1968/3515 [09:29<05:35,  4.61it/s]
overall:  49%|████▉     | 1969/4000 [09:33<07:24,  4.57it/s]

train:  56%|█████▌    | 1969/3515 [09:29<05:38,  4.57it/s]
overall:  49%|████▉     | 1970/4000 [09:33<07:27,  4.54it/s]

train:  56%|█████▌    | 1970/3515 [09:30<05:40,  4.54it/s]
overall:  49%|████▉     | 1971/4000 [09:34<07:36,  4.44it/s]

train:  56%|█████▌    | 1971/3515 [09:30<05:47,  4.44it/s]
overall:  49%|████▉     | 1972/4000 [09:34<07:33,  4.47it/s]

train:  56%|█████▌    | 1972/3515 [09:30<05:45,  4.47it/s]
overall:  49%|████▉     | 1973/4000 [09:34<07:36,  4.44it/s]

train:  56%|█████▌    | 1973/3515 [09:30<05:47,  4.44it/s]
overall:  49%|████▉     | 1974/4000 [09:34<07:35,  4.44it/s]

train:  56%|█████▌    | 1974/3515 [09:31<05:46,  4.44it/s]
overall:  49%|████▉     | 1975/4000 [09:34<07:41,  4.38it/s]

train:  56%|█████▌    | 1975/3515 [09:31<05:51,  4.38it/s]
overall:  49%|████▉     | 1976/4000 [09:35<07:32,  4.47it/s]

train:  56%|█████▌    | 1976/3515 [09:31<05:44,  4.47it/s]
overall:  49%|████▉     | 1977/4000 [09:35<10:08,  3.33it/s]

train:  56%|█████▌    | 1977/3515 [09:31<07:42,  3.33it/s]
overall:  49%|████▉     | 1978/4000 [09:35<09:05,  3.71it/s]

train:  56%|█████▋    | 1978/3515 [09:32<06:54,  3.71it/s]
overall:  49%|████▉     | 1979/4000 [09:36<08:00,  4.20it/s]

train:  56%|█████▋    | 1979/3515 [09:32<06:05,  4.20it/s]
overall:  50%|████▉     | 1980/4000 [09:36<08:11,  4.11it/s]

train:  56%|█████▋    | 1980/3515 [09:32<06:13,  4.11it/s]
overall:  50%|████▉     | 1981/4000 [09:36<07:15,  4.64it/s]

train:  56%|█████▋    | 1981/3515 [09:32<05:30,  4.64it/s]
overall:  50%|████▉     | 1982/4000 [09:36<07:03,  4.77it/s]

train:  56%|█████▋    | 1982/3515 [09:32<05:21,  4.77it/s]
overall:  50%|████▉     | 1983/4000 [09:36<06:14,  5.38it/s]

train:  56%|█████▋    | 1983/3515 [09:33<04:44,  5.38it/s]
overall:  50%|████▉     | 1984/4000 [09:37<06:53,  4.87it/s]

train:  56%|█████▋    | 1984/3515 [09:33<05:14,  4.87it/s]
overall:  50%|████▉     | 1985/4000 [09:37<07:01,  4.78it/s]

train:  56%|█████▋    | 1985/3515 [09:33<05:19,  4.78it/s]
overall:  50%|████▉     | 1986/4000 [09:37<06:01,  5.57it/s]

train:  57%|█████▋    | 1986/3515 [09:33<04:34,  5.57it/s]
overall:  50%|████▉     | 1987/4000 [09:37<06:17,  5.33it/s]

train:  57%|█████▋    | 1987/3515 [09:33<04:46,  5.33it/s]
overall:  50%|████▉     | 1988/4000 [09:37<07:01,  4.77it/s]

train:  57%|█████▋    | 1988/3515 [09:34<05:19,  4.77it/s]
overall:  50%|████▉     | 1989/4000 [09:38<07:13,  4.64it/s]

train:  57%|█████▋    | 1989/3515 [09:34<05:28,  4.64it/s]
overall:  50%|████▉     | 1990/4000 [09:38<07:21,  4.55it/s]

train:  57%|█████▋    | 1990/3515 [09:34<05:35,  4.55it/s]
overall:  50%|████▉     | 1991/4000 [09:38<07:26,  4.50it/s]

train:  57%|█████▋    | 1991/3515 [09:34<05:38,  4.50it/s]
overall:  50%|████▉     | 1992/4000 [09:38<07:02,  4.75it/s]

train:  57%|█████▋    | 1992/3515 [09:34<05:20,  4.75it/s]
overall:  50%|████▉     | 1993/4000 [09:38<07:14,  4.62it/s]

train:  57%|█████▋    | 1993/3515 [09:35<05:29,  4.62it/s]
overall:  50%|████▉     | 1994/4000 [09:39<07:11,  4.65it/s]

train:  57%|█████▋    | 1994/3515 [09:35<05:27,  4.65it/s]
overall:  50%|████▉     | 1995/4000 [09:39<07:21,  4.54it/s]

train:  57%|█████▋    | 1995/3515 [09:35<05:34,  4.55it/s]
overall:  50%|████▉     | 1996/4000 [09:39<07:18,  4.57it/s]

train:  57%|█████▋    | 1996/3515 [09:35<05:32,  4.57it/s]
overall:  50%|████▉     | 1997/4000 [09:39<07:21,  4.54it/s]

train:  57%|█████▋    | 1997/3515 [09:36<05:34,  4.54it/s]
overall:  50%|████▉     | 1998/4000 [09:39<07:14,  4.61it/s]

train:  57%|█████▋    | 1998/3515 [09:36<05:28,  4.61it/s]
overall:  50%|████▉     | 1999/4000 [09:40<07:09,  4.66it/s]

train:  57%|█████▋    | 1999/3515 [09:36<05:25,  4.66it/s]dev loss: 2.1970410346984863
dev per: 0.5484391259105099
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.8927942514419556
train per: 0.5077677015181752
train loss: 1.8778148889541626
train per: 0.5132620993086109
train loss: 1.9543864727020264
train per: 0.5179646179099033
train loss: 1.8961461782455444
train per: 0.512876971960533
train loss: 1.9414937496185303
train per: 0.5097808535178777
train loss: 1.9129486083984375
train per: 0.5083145962151021
train loss: 1.8842756748199463
train per: 0.5081368230111428
train loss: 1.892940878868103
train per: 0.5041191540664088
train loss: 1.8875879049301147
train per: 0.5040751155807636
train loss: 1.8867213726043701
train per: 0.5024777006937562
train loss: 1.9252315759658813
train per: 0.5123048181377863
train loss: 1.855304479598999
train per: 0.4985024878025216
train loss: 1.9000221490859985
train per: 0.5037458871171855
train loss: 1.850525140762329
train per: 0.5018308921438083
train loss: 1.874542236328125
train per: 0.5059094840011531
train loss: 1.9254531860351562
train per: 0.5106414065163396
train loss: 1.895928144454956
train per: 0.5083835741098851
train loss: 1.8491437435150146
train per: 0.5021366924559394
train loss: 1.8950048685073853
train per: 0.50657365868838
train loss: 1.8961007595062256
train per: 0.506975671624582
train loss: 1.8531913757324219
train per: 0.5000613331370672
train loss: 1.8639600276947021
train per: 0.5003052875809012
train loss: 1.8348506689071655
train per: 0.5001191895113231
train loss: 1.9138238430023193
train per: 0.5041563746912407
train loss: 1.939906358718872
train per: 0.5200310973980224
train loss: 1.8989248275756836
train per: 0.5054445210199863
train loss: 1.8732101917266846
train per: 0.50386382058903
train loss: 1.9404853582382202
train per: 0.5146101975629954
train loss: 1.9093719720840454
train per: 0.5095274835753197
train loss: 1.9118973016738892
train per: 0.5116588284539433
train loss: 1.8778941631317139
train per: 0.503347441323586
train loss: 1.9077870845794678
train per: 0.5121713966100047
train loss: 1.8854862451553345
train per: 0.5008994464944649
train loss: 1.8955185413360596
train per: 0.5073093436924965
train loss: 1.854503870010376
train per: 0.4975018705800005
train loss: 1.8472713232040405
train per: 0.5112666284576635
train loss: 1.9213920831680298
train per: 0.5222446379273731
train loss: 1.8803411722183228
train per: 0.5098642578852024
train loss: 1.8627723455429077
train per: 0.504410563572012
train loss: 1.9416706562042236
train per: 0.5114392678868552
train loss: 1.9094314575195312
train per: 0.5044283594838825
train loss: 1.9034103155136108
train per: 0.5073805482693
train loss: 1.8731777667999268
train per: 0.5035351523600876
train loss: 1.8320735692977905
train per: 0.4928708182184603
train loss: 1.8785841464996338
train per: 0.5012419620679249
train loss: 1.8838660717010498
train per: 0.5001472596321187
train loss: 1.8632752895355225
train per: 0.5018821198613175
train loss: 1.9207484722137451
train per: 0.5083437630371297
train loss: 1.8468011617660522
train per: 0.49573423573709546
train loss: 1.881507158279419
train per: 0.4984146193876316
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|▉         | 259/2703 [00:00<00:00, 2585.21it/s]


word -> phonemes:  19%|█▉        | 518/2703 [00:00<00:00, 2572.60it/s]


word -> phonemes:  29%|██▊       | 776/2703 [00:00<00:00, 2559.44it/s]


word -> phonemes:  38%|███▊      | 1034/2703 [00:00<00:00, 2566.11it/s]


word -> phonemes:  48%|████▊     | 1291/2703 [00:00<00:00, 2542.25it/s]


word -> phonemes:  57%|█████▋    | 1548/2703 [00:00<00:00, 2549.85it/s]


word -> phonemes:  67%|██████▋   | 1804/2703 [00:00<00:00, 2487.22it/s]


word -> phonemes:  77%|███████▋  | 2084/2703 [00:00<00:00, 2584.42it/s]


word -> phonemes:  87%|████████▋ | 2343/2703 [00:00<00:00, 2458.04it/s]


word -> phonemes:  96%|█████████▌| 2591/2703 [00:01<00:00, 2365.93it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2466.75it/s]



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


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overall:  50%|████▉     | 1999/4000 [12:05<07:09,  4.66it/s]

train:  57%|█████▋    | 1999/3515 [12:02<05:25,  4.66it/s]
                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [12:05<07:09,  4.66it/s]

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overall:  50%|█████     | 2000/4000 [12:05<24:22:37, 43.88s/it]

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train:  85%|████████▌ | 2995/3515 [15:43<02:05,  4.16it/s]
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train:  85%|████████▌ | 2997/3515 [15:44<02:00,  4.29it/s]
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overall:  75%|███████▍  | 2999/4000 [15:48<03:42,  4.49it/s]

train:  85%|████████▌ | 2999/3515 [15:44<01:54,  4.49it/s]dev loss: 2.196899175643921
dev per: 0.5476014568158168
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.8253543376922607
train per: 0.4996903691338413
train loss: 1.827880859375
train per: 0.512088335719793
train loss: 1.8694512844085693
train per: 0.5032841920887462
train loss: 1.88779616355896
train per: 0.5038221970554927
train loss: 1.8541812896728516
train per: 0.4971562562362802
train loss: 1.8436212539672852
train per: 0.49445859434157086
train loss: 1.8818727731704712
train per: 0.5032012945894604
train loss: 1.9006145000457764
train per: 0.5075985663082437
train loss: 1.8125568628311157
train per: 0.49150562235311296
train loss: 1.8466217517852783
train per: 0.4968692712425303
train loss: 1.8689082860946655
train per: 0.5012076233971544
train loss: 1.8665632009506226
train per: 0.50476748929227
train loss: 1.927893042564392
train per: 0.5149165953806673
train loss: 1.895024299621582
train per: 0.5051073638238506
train loss: 1.8273489475250244
train per: 0.5029503546099291
train loss: 1.8995662927627563
train per: 0.5067788325486867
train loss: 1.8944534063339233
train per: 0.5058864186153669
train loss: 1.868805170059204
train per: 0.5076203140183092
train loss: 1.8538129329681396
train per: 0.4971815911523368
train loss: 1.8639538288116455
train per: 0.5002707511410227
train loss: 1.8478214740753174
train per: 0.49893384508769123
train loss: 1.918287992477417
train per: 0.5114349035695761
train loss: 1.924199104309082
train per: 0.5104482337509612
train loss: 1.8575912714004517
train per: 0.4995803608896349
train loss: 1.846136450767517
train per: 0.4991959691252144
train loss: 1.8304147720336914
train per: 0.4947340831109417
train loss: 1.8279550075531006
train per: 0.491134040091611
train loss: 1.8459879159927368
train per: 0.4999040721377524
train loss: 1.8425817489624023
train per: 0.4970263170937206
train loss: 1.908182144165039
train per: 0.5042649500716512
train loss: 1.8313932418823242
train per: 0.498803428317008
train loss: 1.8395249843597412
train per: 0.4963207766388681
train loss: 1.8576714992523193
train per: 0.5033325565136332
train loss: 1.8434886932373047
train per: 0.49961151908569135
train loss: 1.8806877136230469
train per: 0.5014390371533228
train loss: 1.8444350957870483
train per: 0.49906248276622733
train loss: 1.8971803188323975
train per: 0.5121193441006041
train loss: 1.8308748006820679
train per: 0.49836508387830536
train loss: 1.8498748540878296
train per: 0.5010341535850658
train loss: 1.820673942565918
train per: 0.4905084660980917
train loss: 1.8096129894256592
train per: 0.4954258439815045
train loss: 1.8691539764404297
train per: 0.5085523899470067
train loss: 1.833325982093811
train per: 0.499986647795551
train loss: 1.9086055755615234
train per: 0.5028829280521434
train loss: 1.8442237377166748
train per: 0.49567783011543043
train loss: 1.8816038370132446
train per: 0.5028621422322209
train loss: 1.872694730758667
train per: 0.500129686734488
train loss: 1.8998571634292603
train per: 0.509156348326052
train loss: 1.841314673423767
train per: 0.4992805028906112
train loss: 1.8957656621932983
train per: 0.5145724430417201
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 192/2703 [00:00<00:01, 1917.77it/s]


word -> phonemes:  17%|█▋        | 454/2703 [00:00<00:00, 2325.60it/s]


word -> phonemes:  25%|██▌       | 687/2703 [00:00<00:00, 2089.77it/s]


word -> phonemes:  35%|███▍      | 938/2703 [00:00<00:00, 2242.71it/s]


word -> phonemes:  43%|████▎     | 1165/2703 [00:00<00:00, 2006.92it/s]


word -> phonemes:  51%|█████     | 1371/2703 [00:00<00:00, 2020.70it/s]


word -> phonemes:  60%|██████    | 1634/2703 [00:00<00:00, 2194.39it/s]


word -> phonemes:  71%|███████   | 1921/2703 [00:00<00:00, 2395.83it/s]


word -> phonemes:  80%|████████  | 2168/2703 [00:00<00:00, 2417.32it/s]


word -> phonemes:  89%|████████▉ | 2413/2703 [00:01<00:00, 2225.47it/s]


word -> phonemes:  98%|█████████▊| 2640/2703 [00:01<00:00, 2169.84it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2132.52it/s]



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train:  99%|█████████▉| 3483/3515 [19:59<00:07,  4.26it/s]
overall:  87%|████████▋ | 3484/4000 [20:02<01:59,  4.33it/s]

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overall:  87%|████████▋ | 3486/4000 [20:03<01:40,  5.13it/s]

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overall:  87%|████████▋ | 3487/4000 [20:03<01:42,  5.00it/s]

train:  99%|█████████▉| 3487/3515 [19:59<00:05,  5.00it/s]
overall:  87%|████████▋ | 3488/4000 [20:03<01:44,  4.90it/s]

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overall:  87%|████████▋ | 3489/4000 [20:04<02:06,  4.06it/s]

train:  99%|█████████▉| 3489/3515 [20:00<00:06,  4.06it/s]
overall:  87%|████████▋ | 3490/4000 [20:04<02:00,  4.23it/s]

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overall:  87%|████████▋ | 3491/4000 [20:04<01:57,  4.31it/s]

train:  99%|█████████▉| 3491/3515 [20:00<00:05,  4.31it/s]
overall:  87%|████████▋ | 3492/4000 [20:04<01:57,  4.33it/s]

train:  99%|█████████▉| 3492/3515 [20:00<00:05,  4.33it/s]
overall:  87%|████████▋ | 3493/4000 [20:04<01:57,  4.30it/s]

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overall:  87%|████████▋ | 3495/4000 [20:05<02:01,  4.14it/s]

train:  99%|█████████▉| 3495/3515 [20:01<00:04,  4.14it/s]
overall:  87%|████████▋ | 3496/4000 [20:05<01:57,  4.31it/s]

train:  99%|█████████▉| 3496/3515 [20:01<00:04,  4.31it/s]
overall:  87%|████████▋ | 3497/4000 [20:05<01:41,  4.93it/s]

train:  99%|█████████▉| 3497/3515 [20:02<00:03,  4.93it/s]
overall:  87%|████████▋ | 3498/4000 [20:05<01:44,  4.78it/s]

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overall:  88%|████████▊ | 3511/4000 [20:08<01:43,  4.71it/s]

train: 100%|█████████▉| 3511/3515 [20:05<00:00,  4.71it/s]
overall:  88%|████████▊ | 3512/4000 [20:08<01:45,  4.62it/s]

train: 100%|█████████▉| 3512/3515 [20:05<00:00,  4.62it/s]
overall:  88%|████████▊ | 3513/4000 [20:09<01:42,  4.77it/s]

train: 100%|█████████▉| 3513/3515 [20:05<00:00,  4.77it/s]
overall:  88%|████████▊ | 3514/4000 [20:09<01:37,  5.00it/s]

train: 100%|█████████▉| 3514/3515 [20:05<00:00,  5.00it/s]
overall:  88%|████████▊ | 3515/4000 [20:09<01:38,  4.91it/s]

train: 100%|██████████| 3515/3515 [20:05<00:00,  4.91it/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 [20:05<00:00,  2.91it/s]
dev loss: 2.201695203781128
dev per: 0.5492507804370448
train loss: 1.8030773401260376
train per: 0.48994867943422205
train loss: 1.84390127658844
train per: 0.4988537743572949
train loss: 1.8229659795761108
train per: 0.4955461448598131
train loss: 1.819239616394043
train per: 0.48888552850446093
train loss: 1.8484218120574951
train per: 0.4932657940208772
train loss: 1.8493444919586182
train per: 0.4979181476591855
train loss: 1.8105157613754272
train per: 0.4929985392635874
train loss: 1.8807642459869385
train per: 0.5004202588794697
train loss: 1.8895108699798584
train per: 0.5044941861912706
train loss: 1.8314533233642578
train per: 0.49745613617992485
train loss: 1.8708055019378662
train per: 0.5057566015442531
train loss: 1.9074500799179077
train per: 0.507832559892582
train loss: 1.8112170696258545
train per: 0.4945527739338281
train loss: 1.8374265432357788
train per: 0.49669600952670045
train loss: 1.8654859066009521
train per: 0.502894711019527
train loss: 1.8806397914886475
train per: 0.5049805110437419
train loss: 1.8813903331756592
train per: 0.5020821892732931
train loss: 1.850319266319275
train per: 0.5006806995496911
train loss: 1.8762630224227905
train per: 0.5081189371573176
train loss: 1.8719180822372437
train per: 0.504374286801065
train loss: 1.8850761651992798
train per: 0.5133439718263357
train loss: 1.898048758506775
train per: 0.5090899660260899
train loss: 1.911665678024292
train per: 0.5100164752513072
train loss: 1.8753156661987305
train per: 0.5067052652414885
train loss: 1.8998504877090454
train per: 0.5057984364297693
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 256/3515 [00:00<00:01, 2553.31it/s]

word -> phonemes:  15%|█▍        | 512/3515 [00:00<00:01, 1911.24it/s]

word -> phonemes:  20%|██        | 713/3515 [00:00<00:01, 1782.01it/s]

word -> phonemes:  25%|██▌       | 896/3515 [00:00<00:01, 1717.43it/s]

word -> phonemes:  31%|███       | 1097/3515 [00:00<00:01, 1763.43it/s]

word -> phonemes:  36%|███▋      | 1276/3515 [00:00<00:01, 1651.07it/s]

word -> phonemes:  43%|████▎     | 1496/3515 [00:00<00:01, 1808.06it/s]

word -> phonemes:  48%|████▊     | 1680/3515 [00:00<00:01, 1671.58it/s]

word -> phonemes:  53%|█████▎    | 1858/3515 [00:01<00:00, 1701.37it/s]

word -> phonemes:  58%|█████▊    | 2031/3515 [00:01<00:00, 1653.88it/s]

word -> phonemes:  63%|██████▎   | 2208/3515 [00:01<00:00, 1683.65it/s]

word -> phonemes:  68%|██████▊   | 2378/3515 [00:01<00:00, 1497.71it/s]

word -> phonemes:  72%|███████▏  | 2547/3515 [00:01<00:00, 1548.46it/s]

word -> phonemes:  77%|███████▋  | 2722/3515 [00:01<00:00, 1602.45it/s]

word -> phonemes:  83%|████████▎ | 2915/3515 [00:01<00:00, 1689.21it/s]

word -> phonemes:  88%|████████▊ | 3087/3515 [00:01<00:00, 1653.07it/s]

word -> phonemes:  93%|█████████▎| 3284/3515 [00:01<00:00, 1742.95it/s]

word -> phonemes:  98%|█████████▊| 3461/3515 [00:02<00:00, 1655.95it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:02<00:00, 1698.93it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [20:14<13:46,  1.71s/it]

train:   0%|          | 1/3515 [00:01<1:45:20,  1.80s/it]
overall:  88%|████████▊ | 3517/4000 [20:14<09:54,  1.23s/it]

train:   0%|          | 2/3515 [00:01<47:29,  1.23it/s]  
overall:  88%|████████▊ | 3518/4000 [20:15<07:29,  1.07it/s]

train:   0%|          | 3/3515 [00:02<32:05,  1.82it/s]
overall:  88%|████████▊ | 3519/4000 [20:15<05:48,  1.38it/s]

train:   0%|          | 4/3515 [00:02<24:59,  2.34it/s]
overall:  88%|████████▊ | 3520/4000 [20:15<04:32,  1.76it/s]

train:   0%|          | 5/3515 [00:02<20:08,  2.90it/s]
overall:  88%|████████▊ | 3521/4000 [20:15<03:34,  2.23it/s]

train:   0%|          | 6/3515 [00:02<16:41,  3.50it/s]
overall:  88%|████████▊ | 3523/4000 [20:16<02:31,  3.14it/s]

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overall:  88%|████████▊ | 3524/4000 [20:16<02:21,  3.36it/s]

train:   0%|          | 9/3515 [00:03<13:22,  4.37it/s]
overall:  88%|████████▊ | 3525/4000 [20:16<02:06,  3.76it/s]

train:   0%|          | 10/3515 [00:03<12:34,  4.65it/s]
overall:  88%|████████▊ | 3527/4000 [20:16<01:46,  4.44it/s]

train:   0%|          | 12/3515 [00:03<11:24,  5.12it/s]
overall:  88%|████████▊ | 3528/4000 [20:17<01:56,  4.04it/s]

train:   0%|          | 13/3515 [00:04<13:09,  4.44it/s]
overall:  88%|████████▊ | 3529/4000 [20:17<01:54,  4.13it/s]

train:   0%|          | 14/3515 [00:04<13:09,  4.43it/s]
overall:  88%|████████▊ | 3530/4000 [20:17<01:49,  4.31it/s]

train:   0%|          | 15/3515 [00:04<12:49,  4.55it/s]
overall:  88%|████████▊ | 3531/4000 [20:17<01:52,  4.18it/s]

train:   0%|          | 16/3515 [00:04<13:25,  4.34it/s]
overall:  88%|████████▊ | 3532/4000 [20:18<01:50,  4.23it/s]

train:   0%|          | 17/3515 [00:05<13:23,  4.35it/s]
overall:  88%|████████▊ | 3533/4000 [20:18<01:43,  4.52it/s]

train:   1%|          | 18/3515 [00:05<12:38,  4.61it/s]
overall:  88%|████████▊ | 3534/4000 [20:18<01:43,  4.50it/s]

train:   1%|          | 19/3515 [00:05<12:44,  4.57it/s]
overall:  88%|████████▊ | 3535/4000 [20:18<01:43,  4.48it/s]

train:   1%|          | 20/3515 [00:05<12:51,  4.53it/s]
overall:  88%|████████▊ | 3536/4000 [20:18<01:43,  4.47it/s]

train:   1%|          | 21/3515 [00:05<12:55,  4.51it/s]
overall:  88%|████████▊ | 3538/4000 [20:19<01:29,  5.17it/s]

train:   1%|          | 23/3515 [00:06<11:11,  5.20it/s]
overall:  88%|████████▊ | 3539/4000 [20:19<01:35,  4.84it/s]

train:   1%|          | 24/3515 [00:06<11:59,  4.85it/s]
overall:  88%|████████▊ | 3540/4000 [20:19<01:55,  3.98it/s]

train:   1%|          | 25/3515 [00:06<14:34,  3.99it/s]
overall:  89%|████████▊ | 3541/4000 [20:20<01:52,  4.09it/s]

train:   1%|          | 26/3515 [00:07<14:12,  4.09it/s]
overall:  89%|████████▊ | 3542/4000 [20:20<01:47,  4.25it/s]

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overall:  89%|████████▊ | 3544/4000 [20:20<01:31,  5.00it/s]

train:   1%|          | 29/3515 [00:07<11:35,  5.02it/s]
overall:  89%|████████▊ | 3546/4000 [20:20<01:23,  5.42it/s]

train:   1%|          | 31/3515 [00:07<10:41,  5.43it/s]
overall:  89%|████████▊ | 3547/4000 [20:21<01:28,  5.12it/s]

train:   1%|          | 32/3515 [00:08<11:19,  5.13it/s]
overall:  89%|████████▊ | 3548/4000 [20:21<01:30,  4.98it/s]

train:   1%|          | 33/3515 [00:08<11:38,  4.99it/s]
overall:  89%|████████▊ | 3549/4000 [20:21<01:32,  4.87it/s]

train:   1%|          | 34/3515 [00:08<11:53,  4.88it/s]
overall:  89%|████████▉ | 3550/4000 [20:21<01:29,  5.00it/s]

train:   1%|          | 35/3515 [00:08<11:35,  5.01it/s]
overall:  89%|████████▉ | 3551/4000 [20:22<01:34,  4.75it/s]

train:   1%|          | 36/3515 [00:09<12:11,  4.75it/s]
overall:  89%|████████▉ | 3552/4000 [20:22<01:55,  3.87it/s]

train:   1%|          | 37/3515 [00:09<14:58,  3.87it/s]
overall:  89%|████████▉ | 3553/4000 [20:22<01:51,  4.01it/s]

train:   1%|          | 38/3515 [00:09<14:27,  4.01it/s]
overall:  89%|████████▉ | 3554/4000 [20:22<01:48,  4.12it/s]

train:   1%|          | 39/3515 [00:09<14:04,  4.12it/s]
overall:  89%|████████▉ | 3555/4000 [20:22<01:30,  4.91it/s]

train:   1%|          | 40/3515 [00:09<11:47,  4.91it/s]
overall:  89%|████████▉ | 3556/4000 [20:23<01:33,  4.74it/s]

train:   1%|          | 41/3515 [00:10<12:13,  4.74it/s]
overall:  89%|████████▉ | 3557/4000 [20:23<01:35,  4.64it/s]

train:   1%|          | 42/3515 [00:10<12:28,  4.64it/s]
overall:  89%|████████▉ | 3558/4000 [20:23<01:35,  4.63it/s]

train:   1%|          | 43/3515 [00:10<12:29,  4.63it/s]
overall:  89%|████████▉ | 3559/4000 [20:23<01:23,  5.31it/s]

train:   1%|▏         | 44/3515 [00:10<10:53,  5.31it/s]
overall:  89%|████████▉ | 3560/4000 [20:23<01:28,  4.96it/s]

train:   1%|▏         | 45/3515 [00:11<11:40,  4.96it/s]
overall:  89%|████████▉ | 3561/4000 [20:24<01:32,  4.77it/s]

train:   1%|▏         | 46/3515 [00:11<12:06,  4.77it/s]
overall:  89%|████████▉ | 3562/4000 [20:24<01:35,  4.59it/s]

train:   1%|▏         | 47/3515 [00:11<12:36,  4.59it/s]
overall:  89%|████████▉ | 3563/4000 [20:24<01:25,  5.09it/s]

train:   1%|▏         | 48/3515 [00:11<11:20,  5.09it/s]
overall:  89%|████████▉ | 3564/4000 [20:25<01:53,  3.83it/s]

train:   1%|▏         | 49/3515 [00:12<15:03,  3.83it/s]
overall:  89%|████████▉ | 3565/4000 [20:25<01:38,  4.41it/s]

train:   1%|▏         | 50/3515 [00:12<13:06,  4.41it/s]
overall:  89%|████████▉ | 3566/4000 [20:25<01:39,  4.35it/s]

train:   1%|▏         | 51/3515 [00:12<13:16,  4.35it/s]
overall:  89%|████████▉ | 3567/4000 [20:25<01:35,  4.52it/s]

train:   1%|▏         | 52/3515 [00:12<12:45,  4.52it/s]
overall:  89%|████████▉ | 3568/4000 [20:25<01:23,  5.20it/s]

train:   2%|▏         | 53/3515 [00:12<11:05,  5.20it/s]
overall:  89%|████████▉ | 3569/4000 [20:25<01:25,  5.06it/s]

train:   2%|▏         | 54/3515 [00:12<11:24,  5.06it/s]
overall:  89%|████████▉ | 3570/4000 [20:26<01:27,  4.89it/s]

train:   2%|▏         | 55/3515 [00:13<11:47,  4.89it/s]
overall:  89%|████████▉ | 3571/4000 [20:26<01:29,  4.81it/s]

train:   2%|▏         | 56/3515 [00:13<11:59,  4.81it/s]
overall:  89%|████████▉ | 3572/4000 [20:26<01:31,  4.68it/s]

train:   2%|▏         | 57/3515 [00:13<12:19,  4.68it/s]
overall:  89%|████████▉ | 3573/4000 [20:26<01:33,  4.56it/s]

train:   2%|▏         | 58/3515 [00:13<12:37,  4.56it/s]
overall:  89%|████████▉ | 3574/4000 [20:27<01:34,  4.50it/s]

train:   2%|▏         | 59/3515 [00:14<12:47,  4.50it/s]
overall:  89%|████████▉ | 3575/4000 [20:27<01:35,  4.43it/s]

train:   2%|▏         | 60/3515 [00:14<12:59,  4.43it/s]
overall:  89%|████████▉ | 3576/4000 [20:27<01:55,  3.67it/s]

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overall:  89%|████████▉ | 3577/4000 [20:27<01:52,  3.76it/s]

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overall:  90%|█████████ | 3604/4000 [20:33<01:30,  4.37it/s]

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overall:  90%|█████████ | 3606/4000 [20:34<01:10,  5.60it/s]

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overall:  90%|█████████ | 3607/4000 [20:34<01:14,  5.29it/s]

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overall:  90%|█████████ | 3608/4000 [20:34<01:12,  5.39it/s]

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overall:  90%|█████████ | 3609/4000 [20:34<01:15,  5.16it/s]

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overall:  90%|█████████ | 3610/4000 [20:35<01:27,  4.43it/s]

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overall:  90%|█████████ | 3611/4000 [20:35<01:28,  4.40it/s]

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overall:  90%|█████████ | 3612/4000 [20:35<01:55,  3.35it/s]

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overall:  90%|█████████ | 3613/4000 [20:35<01:47,  3.60it/s]

train:   3%|▎         | 98/3515 [00:23<15:48,  3.60it/s]
overall:  90%|█████████ | 3614/4000 [20:36<01:39,  3.88it/s]

train:   3%|▎         | 99/3515 [00:23<14:40,  3.88it/s]
overall:  90%|█████████ | 3615/4000 [20:36<01:35,  4.03it/s]

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overall:  90%|█████████ | 3616/4000 [20:36<01:33,  4.11it/s]

train:   3%|▎         | 101/3515 [00:23<13:50,  4.11it/s]
overall:  90%|█████████ | 3617/4000 [20:36<01:30,  4.25it/s]

train:   3%|▎         | 102/3515 [00:23<13:22,  4.25it/s]
overall:  90%|█████████ | 3618/4000 [20:37<01:29,  4.27it/s]

train:   3%|▎         | 103/3515 [00:24<13:18,  4.27it/s]
overall:  90%|█████████ | 3619/4000 [20:37<01:29,  4.26it/s]

train:   3%|▎         | 104/3515 [00:24<13:21,  4.26it/s]
overall:  90%|█████████ | 3620/4000 [20:37<01:29,  4.23it/s]

train:   3%|▎         | 105/3515 [00:24<13:25,  4.23it/s]
overall:  91%|█████████ | 3621/4000 [20:37<01:29,  4.24it/s]

train:   3%|▎         | 106/3515 [00:24<13:24,  4.24it/s]
overall:  91%|█████████ | 3622/4000 [20:38<01:27,  4.31it/s]

train:   3%|▎         | 107/3515 [00:25<13:10,  4.31it/s]
overall:  91%|█████████ | 3623/4000 [20:38<01:26,  4.34it/s]

train:   3%|▎         | 108/3515 [00:25<13:04,  4.34it/s]
overall:  91%|█████████ | 3624/4000 [20:38<01:36,  3.91it/s]

train:   3%|▎         | 109/3515 [00:25<14:31,  3.91it/s]
overall:  91%|█████████ | 3625/4000 [20:38<01:32,  4.05it/s]

train:   3%|▎         | 110/3515 [00:25<14:00,  4.05it/s]
overall:  91%|█████████ | 3626/4000 [20:39<01:27,  4.27it/s]

train:   3%|▎         | 111/3515 [00:26<13:16,  4.27it/s]
overall:  91%|█████████ | 3627/4000 [20:39<01:25,  4.34it/s]

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overall:  91%|█████████ | 3629/4000 [20:39<01:14,  5.00it/s]

train:   3%|▎         | 114/3515 [00:26<11:19,  5.00it/s]
overall:  91%|█████████ | 3630/4000 [20:39<01:17,  4.77it/s]

train:   3%|▎         | 115/3515 [00:26<11:52,  4.77it/s]
overall:  91%|█████████ | 3631/4000 [20:39<01:16,  4.81it/s]

train:   3%|▎         | 116/3515 [00:27<11:46,  4.81it/s]
overall:  91%|█████████ | 3632/4000 [20:40<01:18,  4.69it/s]

train:   3%|▎         | 117/3515 [00:27<12:04,  4.69it/s]
overall:  91%|█████████ | 3633/4000 [20:40<01:19,  4.64it/s]

train:   3%|▎         | 118/3515 [00:27<12:12,  4.64it/s]
overall:  91%|█████████ | 3634/4000 [20:40<01:20,  4.54it/s]

train:   3%|▎         | 119/3515 [00:27<12:27,  4.54it/s]
overall:  91%|█████████ | 3635/4000 [20:40<01:19,  4.58it/s]

train:   3%|▎         | 120/3515 [00:27<12:20,  4.58it/s]
overall:  91%|█████████ | 3636/4000 [20:41<01:43,  3.53it/s]

train:   3%|▎         | 121/3515 [00:28<16:00,  3.53it/s]
overall:  91%|█████████ | 3637/4000 [20:41<01:37,  3.73it/s]

train:   3%|▎         | 122/3515 [00:28<15:09,  3.73it/s]
overall:  91%|█████████ | 3638/4000 [20:41<01:31,  3.95it/s]

train:   3%|▎         | 123/3515 [00:28<14:18,  3.95it/s]
overall:  91%|█████████ | 3639/4000 [20:42<01:28,  4.09it/s]

train:   4%|▎         | 124/3515 [00:29<13:49,  4.09it/s]
overall:  91%|█████████ | 3640/4000 [20:42<01:26,  4.16it/s]

train:   4%|▎         | 125/3515 [00:29<13:35,  4.16it/s]
overall:  91%|█████████ | 3641/4000 [20:42<01:30,  3.96it/s]

train:   4%|▎         | 126/3515 [00:29<14:16,  3.96it/s]
overall:  91%|█████████ | 3642/4000 [20:42<01:29,  4.01it/s]

train:   4%|▎         | 127/3515 [00:29<14:04,  4.01it/s]
overall:  91%|█████████ | 3643/4000 [20:42<01:26,  4.13it/s]

train:   4%|▎         | 128/3515 [00:30<13:40,  4.13it/s]
overall:  91%|█████████ | 3644/4000 [20:43<01:23,  4.27it/s]

train:   4%|▎         | 129/3515 [00:30<13:12,  4.27it/s]
overall:  91%|█████████ | 3645/4000 [20:43<01:22,  4.32it/s]

train:   4%|▎         | 130/3515 [00:30<13:02,  4.32it/s]
overall:  91%|█████████ | 3646/4000 [20:43<01:32,  3.84it/s]

train:   4%|▎         | 131/3515 [00:30<14:40,  3.84it/s]
overall:  91%|█████████ | 3647/4000 [20:43<01:20,  4.41it/s]

train:   4%|▍         | 132/3515 [00:30<12:47,  4.41it/s]
overall:  91%|█████████ | 3648/4000 [20:44<01:13,  4.78it/s]

train:   4%|▍         | 133/3515 [00:31<11:48,  4.78it/s]
overall:  91%|█████████ | 3649/4000 [20:44<01:13,  4.75it/s]

train:   4%|▍         | 134/3515 [00:31<11:52,  4.75it/s]
overall:  91%|█████████▏| 3650/4000 [20:44<01:09,  5.01it/s]

train:   4%|▍         | 135/3515 [00:31<11:14,  5.01it/s]
overall:  91%|█████████▏| 3651/4000 [20:44<01:03,  5.50it/s]

train:   4%|▍         | 136/3515 [00:31<10:14,  5.50it/s]
overall:  91%|█████████▏| 3652/4000 [20:44<01:06,  5.23it/s]

train:   4%|▍         | 137/3515 [00:31<10:45,  5.23it/s]
overall:  91%|█████████▏| 3653/4000 [20:45<01:16,  4.52it/s]

train:   4%|▍         | 138/3515 [00:32<12:27,  4.52it/s]
overall:  91%|█████████▏| 3655/4000 [20:45<01:04,  5.35it/s]

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overall:  91%|█████████▏| 3656/4000 [20:45<01:07,  5.10it/s]

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overall:  91%|█████████▏| 3657/4000 [20:45<01:10,  4.88it/s]

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overall:  91%|█████████▏| 3658/4000 [20:46<01:17,  4.44it/s]

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overall:  91%|█████████▏| 3659/4000 [20:46<01:15,  4.53it/s]

train:   4%|▍         | 144/3515 [00:33<12:24,  4.53it/s]
overall:  92%|█████████▏| 3660/4000 [20:46<01:18,  4.33it/s]

train:   4%|▍         | 145/3515 [00:33<12:58,  4.33it/s]
overall:  92%|█████████▏| 3661/4000 [20:46<01:16,  4.42it/s]

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overall:  92%|█████████▏| 3662/4000 [20:47<01:16,  4.44it/s]

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overall:  92%|█████████▏| 3663/4000 [20:47<01:03,  5.29it/s]

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overall:  92%|█████████▏| 3664/4000 [20:47<01:08,  4.88it/s]

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overall:  92%|█████████▏| 3665/4000 [20:47<01:17,  4.30it/s]

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overall:  92%|█████████▏| 3666/4000 [20:47<01:16,  4.37it/s]

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overall:  92%|█████████▏| 3667/4000 [20:48<01:05,  5.11it/s]

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overall:  92%|█████████▏| 3669/4000 [20:48<00:56,  5.81it/s]

train:   4%|▍         | 154/3515 [00:35<09:38,  5.81it/s]
overall:  92%|█████████▏| 3670/4000 [20:48<01:10,  4.71it/s]

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overall:  92%|█████████▏| 3671/4000 [20:48<01:10,  4.67it/s]

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overall:  92%|█████████▏| 3672/4000 [20:49<01:14,  4.39it/s]

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overall:  92%|█████████▏| 3674/4000 [20:49<01:03,  5.11it/s]

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overall:  92%|█████████▏| 3675/4000 [20:49<01:05,  4.96it/s]

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overall:  92%|█████████▏| 3677/4000 [20:50<01:11,  4.51it/s]

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overall:  92%|█████████▏| 3678/4000 [20:50<01:11,  4.47it/s]

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overall:  92%|█████████▏| 3679/4000 [20:50<01:13,  4.38it/s]

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overall:  92%|█████████▏| 3680/4000 [20:50<01:12,  4.42it/s]

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overall:  92%|█████████▏| 3681/4000 [20:51<01:12,  4.41it/s]

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overall:  92%|█████████▏| 3682/4000 [20:51<01:08,  4.61it/s]

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overall:  92%|█████████▏| 3683/4000 [20:51<01:08,  4.64it/s]

train:   5%|▍         | 168/3515 [00:38<12:01,  4.64it/s]
overall:  92%|█████████▏| 3684/4000 [20:51<01:23,  3.81it/s]

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overall:  92%|█████████▏| 3685/4000 [20:52<01:19,  3.98it/s]

train:   5%|▍         | 170/3515 [00:39<13:59,  3.98it/s]
overall:  92%|█████████▏| 3686/4000 [20:52<01:16,  4.09it/s]

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overall:  92%|█████████▏| 3688/4000 [20:52<01:07,  4.62it/s]

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overall:  92%|█████████▏| 3691/4000 [20:53<01:11,  4.34it/s]

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overall:  92%|█████████▏| 3694/4000 [20:54<01:11,  4.28it/s]

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overall:  92%|█████████▏| 3695/4000 [20:54<01:03,  4.83it/s]

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overall:  92%|█████████▏| 3696/4000 [20:54<01:04,  4.72it/s]

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overall:  92%|█████████▏| 3699/4000 [20:54<00:57,  5.26it/s]

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overall: 100%|█████████▉| 3998/4000 [22:01<00:00,  4.51it/s]

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overall: 100%|█████████▉| 3999/4000 [22:01<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [01:48<10:51,  4.65it/s]train loss: 1.8682966232299805
train per: 0.49941766254810616
train loss: 1.831472635269165
train per: 0.5055764246818671
train loss: 1.857134461402893
train per: 0.5029911157498155
train loss: 1.9065402746200562
train per: 0.5070449172576832
train loss: 1.8716274499893188
train per: 0.5096990136166544
train loss: 1.8618587255477905
train per: 0.5011908306043465
train loss: 1.8772989511489868
train per: 0.49863453815261044
train loss: 1.8462804555892944
train per: 0.5013528000408393
train loss: 1.923606276512146
train per: 0.5250917057265131
train loss: 1.8920505046844482
train per: 0.510790438329289
train loss: 1.8816783428192139
train per: 0.5077431612920018
train loss: 1.9054991006851196
train per: 0.5032574743418117
train loss: 1.8320392370224
train per: 0.49582860743541274
train loss: 1.871817946434021
train per: 0.5064084157769715
train loss: 1.9067039489746094
train per: 0.5132028899802021
train loss: 1.8428102731704712
train per: 0.5019676543021809
train loss: 1.8331438302993774
train per: 0.4987192749125659
train loss: 1.8592630624771118
train per: 0.4988829205685221
train loss: 1.8644195795059204
train per: 0.5013568855775399
train loss: 1.84767746925354
train per: 0.49966117537095456
train loss: 1.8542232513427734
train per: 0.5018569393569393
train loss: 1.8640673160552979
train per: 0.4976174718729318
train loss: 1.8679656982421875
train per: 0.5031338623960344
train loss: 1.845306634902954
train per: 0.4941888737599689
train loss: 1.8463846445083618
train per: 0.4940555803239709
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 207/2703 [00:00<00:01, 2066.59it/s]


word -> phonemes:  16%|█▌        | 436/2703 [00:00<00:01, 2196.22it/s]


word -> phonemes:  24%|██▍       | 656/2703 [00:00<00:00, 2157.02it/s]


word -> phonemes:  33%|███▎      | 898/2703 [00:00<00:00, 2247.61it/s]


word -> phonemes:  42%|████▏     | 1123/2703 [00:00<00:00, 2193.98it/s]


word -> phonemes:  50%|████▉     | 1343/2703 [00:00<00:00, 2146.27it/s]


word -> phonemes:  58%|█████▊    | 1558/2703 [00:00<00:00, 2130.48it/s]


word -> phonemes:  66%|██████▌   | 1790/2703 [00:00<00:00, 2188.36it/s]


word -> phonemes:  75%|███████▌  | 2037/2703 [00:00<00:00, 2274.51it/s]


word -> phonemes:  85%|████████▍ | 2290/2703 [00:01<00:00, 2351.94it/s]


word -> phonemes:  94%|█████████▍| 2542/2703 [00:01<00:00, 2401.66it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2287.01it/s]



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


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dev:   6%|▌         | 150/2703 [00:11<02:36, 16.34it/s]


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overall: 100%|█████████▉| 3999/4000 [24:31<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [04:18<10:51,  4.65it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [24:31<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [04:18<10:51,  4.65it/s]
overall: 100%|██████████| 4000/4000 [24:31<00:00, 42.11s/it]

train:  14%|█▍        | 485/3515 [04:18<35:26:20, 42.11s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:18<26:56,  1.87it/s]   

overall: 100%|██████████| 4000/4000 [24:31<00:00,  2.72it/s]
dev loss: 2.2218589782714844
dev per: 0.5531633714880333
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt