/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")
2023-09-28 16:05:30 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_demuc_vocal {'model_config': None, 'refresh': False}
Loading model from Local mert_test_demuc_vocal
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:  13%|█▎        | 464/3515 [00:00<00:01, 2346.40it/s]

word -> phonemes:  21%|██▏       | 748/3515 [00:00<00:01, 2569.57it/s]

word -> phonemes:  29%|██▉       | 1027/3515 [00:00<00:00, 2656.20it/s]

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word -> phonemes:  75%|███████▍  | 2623/3515 [00:01<00:00, 2503.36it/s]

word -> phonemes:  82%|████████▏ | 2897/3515 [00:01<00:00, 2571.45it/s]

word -> phonemes:  90%|█████████ | 3169/3515 [00:01<00:00, 2614.94it/s]

word -> phonemes:  98%|█████████▊| 3432/3515 [00:01<00:00, 2463.54it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2507.81it/s]


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train:   4%|▍         | 138/3515 [00:29<11:04,  5.08it/s]
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train:   4%|▍         | 148/3515 [00:31<11:17,  4.97it/s]
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train:   4%|▍         | 152/3515 [00:32<10:11,  5.50it/s]
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train:   4%|▍         | 153/3515 [00:32<12:26,  4.50it/s]
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train:   4%|▍         | 154/3515 [00:32<12:17,  4.56it/s]
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train:   4%|▍         | 155/3515 [00:33<12:08,  4.61it/s]
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train:   4%|▍         | 156/3515 [00:33<10:16,  5.44it/s]
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train:   4%|▍         | 157/3515 [00:33<11:07,  5.03it/s]
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train:   4%|▍         | 158/3515 [00:33<11:16,  4.97it/s]
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train:   5%|▍         | 159/3515 [00:33<11:48,  4.74it/s]
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train:   5%|▍         | 160/3515 [00:34<11:49,  4.73it/s]
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train:   5%|▍         | 161/3515 [00:34<11:47,  4.74it/s]
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train:   5%|▍         | 162/3515 [00:34<11:33,  4.83it/s]
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train:   5%|▍         | 163/3515 [00:34<11:40,  4.79it/s]
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train:   5%|▍         | 164/3515 [00:34<11:39,  4.79it/s]
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train:   5%|▍         | 165/3515 [00:35<11:28,  4.87it/s]
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train:   5%|▍         | 166/3515 [00:35<11:33,  4.83it/s]
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train:   5%|▍         | 167/3515 [00:35<11:38,  4.79it/s]
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train:   5%|▍         | 168/3515 [00:35<15:52,  3.51it/s]
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train:   5%|▍         | 169/3515 [00:36<14:50,  3.76it/s]
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train:   5%|▍         | 170/3515 [00:36<13:52,  4.02it/s]
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train:   5%|▍         | 171/3515 [00:36<12:55,  4.31it/s]
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train:   5%|▍         | 173/3515 [00:36<09:31,  5.84it/s]
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train:   5%|▍         | 174/3515 [00:36<10:02,  5.54it/s]
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train:   5%|▍         | 175/3515 [00:37<10:37,  5.24it/s]
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train:   5%|▌         | 176/3515 [00:37<11:01,  5.05it/s]
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train:   5%|▌         | 177/3515 [00:37<11:47,  4.72it/s]
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train:   5%|▌         | 178/3515 [00:37<12:11,  4.56it/s]
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train:   5%|▌         | 179/3515 [00:38<12:08,  4.58it/s]
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train:   5%|▌         | 180/3515 [00:38<11:50,  4.69it/s]
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train:   5%|▌         | 181/3515 [00:38<12:32,  4.43it/s]
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train:   5%|▌         | 182/3515 [00:38<12:09,  4.57it/s]
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train:   5%|▌         | 183/3515 [00:38<12:09,  4.57it/s]
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train:   5%|▌         | 184/3515 [00:39<10:45,  5.16it/s]
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train:   5%|▌         | 185/3515 [00:39<10:49,  5.13it/s]
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train:   5%|▌         | 186/3515 [00:39<11:10,  4.97it/s]
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train:   5%|▌         | 187/3515 [00:39<11:14,  4.94it/s]
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train:   5%|▌         | 188/3515 [00:39<11:10,  4.96it/s]
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train:   5%|▌         | 189/3515 [00:40<11:22,  4.87it/s]
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train:   5%|▌         | 190/3515 [00:40<11:32,  4.80it/s]
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train:   5%|▌         | 191/3515 [00:40<11:29,  4.82it/s]
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train:   5%|▌         | 192/3515 [00:41<15:20,  3.61it/s]
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train:   6%|▌         | 194/3515 [00:41<13:57,  3.97it/s]
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train:   6%|▌         | 195/3515 [00:41<12:38,  4.37it/s]
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train:   6%|▌         | 197/3515 [00:41<10:07,  5.46it/s]
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overall:   9%|▉         | 374/4000 [01:22<12:03,  5.01it/s]

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overall:   9%|▉         | 375/4000 [01:22<10:32,  5.73it/s]

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overall:   9%|▉         | 377/4000 [01:22<09:10,  6.58it/s]

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overall:   9%|▉         | 378/4000 [01:23<10:02,  6.01it/s]

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overall:   9%|▉         | 379/4000 [01:23<10:48,  5.59it/s]

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overall:  10%|▉         | 380/4000 [01:23<11:29,  5.25it/s]

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overall:  10%|▉         | 381/4000 [01:23<11:44,  5.14it/s]

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overall:  10%|▉         | 382/4000 [01:23<11:43,  5.14it/s]

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overall:  10%|▉         | 383/4000 [01:24<11:46,  5.12it/s]

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overall:  10%|▉         | 384/4000 [01:24<17:30,  3.44it/s]

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overall:  10%|▉         | 385/4000 [01:24<15:57,  3.78it/s]

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overall:  10%|▉         | 386/4000 [01:25<16:23,  3.67it/s]

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overall:  10%|▉         | 387/4000 [01:25<14:45,  4.08it/s]

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overall:  10%|▉         | 388/4000 [01:25<13:58,  4.31it/s]

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overall:  10%|▉         | 389/4000 [01:25<13:37,  4.42it/s]

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overall:  10%|▉         | 396/4000 [01:27<12:22,  4.86it/s]

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overall:  10%|▉         | 397/4000 [01:27<12:33,  4.78it/s]

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overall:  10%|▉         | 398/4000 [01:27<12:47,  4.69it/s]

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overall:  10%|█         | 404/4000 [01:28<11:59,  5.00it/s]

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overall:  10%|█         | 405/4000 [01:28<12:14,  4.89it/s]

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overall:  10%|█         | 406/4000 [01:29<12:23,  4.84it/s]

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overall:  10%|█         | 407/4000 [01:29<12:27,  4.80it/s]

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overall:  10%|█         | 408/4000 [01:29<18:07,  3.30it/s]

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overall:  10%|█         | 409/4000 [01:30<16:19,  3.67it/s]

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overall:  10%|█         | 410/4000 [01:30<17:10,  3.48it/s]

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overall:  10%|█         | 411/4000 [01:30<15:14,  3.92it/s]

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overall:  10%|█         | 412/4000 [01:30<14:33,  4.11it/s]

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overall:  10%|█         | 413/4000 [01:31<13:46,  4.34it/s]

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overall:  10%|█         | 414/4000 [01:31<13:20,  4.48it/s]

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overall:  10%|█         | 415/4000 [01:31<12:28,  4.79it/s]

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overall:  10%|█         | 417/4000 [01:31<11:06,  5.38it/s]

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overall:  10%|█         | 418/4000 [01:31<11:21,  5.25it/s]

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overall:  10%|█         | 419/4000 [01:32<11:37,  5.13it/s]

train:  12%|█▏        | 419/3515 [01:29<10:03,  5.13it/s]
overall:  10%|█         | 420/4000 [01:32<12:07,  4.92it/s]

train:  12%|█▏        | 420/3515 [01:29<10:28,  4.92it/s]
overall:  11%|█         | 421/4000 [01:32<12:13,  4.88it/s]

train:  12%|█▏        | 421/3515 [01:29<10:34,  4.88it/s]
overall:  11%|█         | 422/4000 [01:32<12:29,  4.77it/s]

train:  12%|█▏        | 422/3515 [01:30<10:47,  4.78it/s]
overall:  11%|█         | 423/4000 [01:33<12:43,  4.69it/s]

train:  12%|█▏        | 423/3515 [01:30<10:59,  4.69it/s]
overall:  11%|█         | 424/4000 [01:33<11:28,  5.19it/s]

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overall:  11%|█         | 425/4000 [01:33<11:48,  5.05it/s]

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overall:  11%|█         | 426/4000 [01:33<11:46,  5.06it/s]

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overall:  11%|█         | 428/4000 [01:33<10:26,  5.70it/s]

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overall:  11%|█         | 429/4000 [01:34<10:50,  5.49it/s]

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overall:  11%|█         | 430/4000 [01:34<11:12,  5.31it/s]

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overall:  11%|█         | 431/4000 [01:34<11:49,  5.03it/s]

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overall:  11%|█         | 432/4000 [01:35<17:06,  3.48it/s]

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overall:  11%|█         | 433/4000 [01:35<15:44,  3.78it/s]

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overall:  11%|█         | 434/4000 [01:35<16:34,  3.59it/s]

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overall:  11%|█         | 435/4000 [01:35<15:17,  3.88it/s]

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overall:  11%|█         | 436/4000 [01:35<14:13,  4.18it/s]

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overall:  11%|█         | 437/4000 [01:36<13:42,  4.33it/s]

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overall:  11%|█         | 438/4000 [01:36<13:17,  4.47it/s]

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overall:  11%|█         | 439/4000 [01:36<13:04,  4.54it/s]

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overall:  11%|█         | 440/4000 [01:36<11:49,  5.02it/s]

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overall:  11%|█         | 441/4000 [01:36<11:59,  4.95it/s]

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overall:  11%|█         | 442/4000 [01:37<11:43,  5.06it/s]

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overall:  11%|█         | 443/4000 [01:37<11:37,  5.10it/s]

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overall:  11%|█         | 444/4000 [01:37<11:59,  4.94it/s]

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overall:  11%|█         | 445/4000 [01:37<12:25,  4.77it/s]

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overall:  11%|█         | 446/4000 [01:37<12:38,  4.69it/s]

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overall:  11%|█         | 447/4000 [01:38<12:40,  4.67it/s]

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overall:  11%|█         | 448/4000 [01:38<12:48,  4.62it/s]

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overall:  11%|█         | 449/4000 [01:38<12:54,  4.59it/s]

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overall:  11%|█▏        | 450/4000 [01:38<12:24,  4.77it/s]

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overall:  11%|█▏        | 451/4000 [01:39<12:12,  4.84it/s]

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overall:  11%|█▏        | 452/4000 [01:39<12:13,  4.84it/s]

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overall:  11%|█▏        | 453/4000 [01:39<12:11,  4.85it/s]

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overall:  11%|█▏        | 454/4000 [01:39<12:19,  4.79it/s]

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overall:  11%|█▏        | 456/4000 [01:40<17:44,  3.33it/s]

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overall:  11%|█▏        | 457/4000 [01:40<16:01,  3.69it/s]

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overall:  11%|█▏        | 458/4000 [01:40<17:01,  3.47it/s]

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overall:  11%|█▏        | 459/4000 [01:41<15:25,  3.83it/s]

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overall:  12%|█▏        | 460/4000 [01:41<14:52,  3.97it/s]

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overall:  12%|█▏        | 463/4000 [01:41<12:57,  4.55it/s]

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overall:  12%|█▏        | 477/4000 [01:44<12:31,  4.69it/s]

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overall:  25%|██▍       | 991/4000 [03:34<10:33,  4.75it/s]

train:  28%|██▊       | 991/3515 [03:31<08:51,  4.75it/s]
overall:  25%|██▍       | 992/4000 [03:34<10:28,  4.78it/s]

train:  28%|██▊       | 992/3515 [03:31<08:47,  4.78it/s]
overall:  25%|██▍       | 993/4000 [03:34<10:35,  4.73it/s]

train:  28%|██▊       | 993/3515 [03:31<08:52,  4.73it/s]
overall:  25%|██▍       | 994/4000 [03:34<10:25,  4.81it/s]

train:  28%|██▊       | 994/3515 [03:32<08:44,  4.81it/s]
overall:  25%|██▍       | 995/4000 [03:35<10:37,  4.71it/s]

train:  28%|██▊       | 995/3515 [03:32<08:54,  4.71it/s]
overall:  25%|██▍       | 996/4000 [03:35<10:12,  4.90it/s]

train:  28%|██▊       | 996/3515 [03:32<08:33,  4.90it/s]
overall:  25%|██▍       | 997/4000 [03:35<10:20,  4.84it/s]

train:  28%|██▊       | 997/3515 [03:32<08:40,  4.84it/s]
overall:  25%|██▍       | 998/4000 [03:35<10:27,  4.78it/s]

train:  28%|██▊       | 998/3515 [03:32<08:46,  4.78it/s]
overall:  25%|██▍       | 999/4000 [03:35<10:12,  4.90it/s]

train:  28%|██▊       | 999/3515 [03:33<08:33,  4.90it/s]train loss: 11.693398475646973
train per: 0.944791192306662
train loss: 4.94442081451416
train per: 0.8636352011457508
train loss: 3.264618396759033
train per: 0.7767048256885497
train loss: 2.793843984603882
train per: 0.713259823270264
train loss: 2.6567444801330566
train per: 0.6851000603612388
train loss: 2.6794962882995605
train per: 0.6908308685130411
train loss: 2.5721447467803955
train per: 0.6751878232022637
train loss: 2.601897716522217
train per: 0.6723184862336558
train loss: 2.472951650619507
train per: 0.6495304364751107
train loss: 2.4888501167297363
train per: 0.6546999177856947
train loss: 2.4607691764831543
train per: 0.6473236618309155
train loss: 2.4531846046447754
train per: 0.6469130908730552
train loss: 2.5066463947296143
train per: 0.6565575700494467
train loss: 2.455360174179077
train per: 0.6442632863765649
train loss: 2.403378963470459
train per: 0.637517364790092
train loss: 2.4293694496154785
train per: 0.6398557468590041
train loss: 2.407042980194092
train per: 0.639203386372909
train loss: 2.4286293983459473
train per: 0.640062641572751
train loss: 2.4130587577819824
train per: 0.6360280953036772
train loss: 2.3548786640167236
train per: 0.6267811288454761
train loss: 2.363917589187622
train per: 0.6291647142962835
train loss: 2.4070162773132324
train per: 0.632487003691705
train loss: 2.4140400886535645
train per: 0.630264833765207
train loss: 2.456308364868164
train per: 0.647147832352588
train loss: 2.373718500137329
train per: 0.6253956930759285
train loss: 2.3374884128570557
train per: 0.6235248547449967
train loss: 2.3928604125976562
train per: 0.6300029574132492
train loss: 2.342395067214966
train per: 0.6219898389264803
train loss: 2.3633737564086914
train per: 0.6242026560702708
train loss: 2.3556530475616455
train per: 0.6240340490286992
train loss: 2.409780979156494
train per: 0.6342195643298029
train loss: 2.3469250202178955
train per: 0.6265615049233332
train loss: 2.3769173622131348
train per: 0.6297434738388519
train loss: 2.3865249156951904
train per: 0.6356998077023024
train loss: 2.349647283554077
train per: 0.6255792400370713
train loss: 2.344921112060547
train per: 0.622968549047118
train loss: 2.4072580337524414
train per: 0.6321418519560934
train loss: 2.3717455863952637
train per: 0.6232586165341046
train loss: 2.3703484535217285
train per: 0.6265297095394898
train loss: 2.3497066497802734
train per: 0.6232977505781224
train loss: 2.339127540588379
train per: 0.6208366428382314
train loss: 2.349466323852539
train per: 0.6207056638811513
train loss: 2.348386526107788
train per: 0.6188838999358564
train loss: 2.3854551315307617
train per: 0.626411662161138
train loss: 2.352768898010254
train per: 0.6217232244228585
train loss: 2.335151195526123
train per: 0.6200502972107911
train loss: 2.3718223571777344
train per: 0.6271199586349535
train loss: 2.3482582569122314
train per: 0.6230123376798683
train loss: 2.3428151607513428
train per: 0.6227021737610959
train loss: 2.307790517807007
train per: 0.6178076438471231
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 315/2703 [00:00<00:00, 3146.36it/s]


word -> phonemes:  23%|██▎       | 630/2703 [00:00<00:00, 3104.23it/s]


word -> phonemes:  35%|███▍      | 941/2703 [00:00<00:00, 2981.79it/s]


word -> phonemes:  46%|████▌     | 1240/2703 [00:00<00:00, 2807.61it/s]


word -> phonemes:  56%|█████▋    | 1523/2703 [00:00<00:00, 2552.72it/s]


word -> phonemes:  66%|██████▌   | 1782/2703 [00:00<00:00, 2423.47it/s]


word -> phonemes:  75%|███████▍  | 2027/2703 [00:00<00:00, 2335.72it/s]


word -> phonemes:  84%|████████▎ | 2263/2703 [00:00<00:00, 2316.11it/s]


word -> phonemes:  92%|█████████▏| 2496/2703 [00:01<00:00, 2104.23it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2411.50it/s]



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overall:  47%|████▋     | 1883/4000 [08:26<08:15,  4.28it/s]

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overall:  48%|████▊     | 1907/4000 [08:31<06:26,  5.41it/s]

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overall:  48%|████▊     | 1908/4000 [08:31<06:38,  5.25it/s]

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overall:  48%|████▊     | 1909/4000 [08:31<06:48,  5.12it/s]

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overall:  48%|████▊     | 1910/4000 [08:31<07:03,  4.93it/s]

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overall:  48%|████▊     | 1913/4000 [08:32<05:55,  5.87it/s]

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overall:  48%|████▊     | 1914/4000 [08:32<06:40,  5.21it/s]

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overall:  48%|████▊     | 1917/4000 [08:33<07:05,  4.90it/s]

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overall:  48%|████▊     | 1922/4000 [08:34<08:10,  4.23it/s]

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overall:  48%|████▊     | 1923/4000 [08:34<07:50,  4.42it/s]

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overall:  48%|████▊     | 1925/4000 [08:35<07:10,  4.82it/s]

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overall:  48%|████▊     | 1926/4000 [08:35<07:28,  4.63it/s]

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overall:  48%|████▊     | 1927/4000 [08:35<07:20,  4.71it/s]

train:  55%|█████▍    | 1927/3515 [08:32<05:37,  4.71it/s]
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overall:  48%|████▊     | 1930/4000 [08:36<06:59,  4.93it/s]

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overall:  48%|████▊     | 1931/4000 [08:36<07:25,  4.65it/s]

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overall:  48%|████▊     | 1932/4000 [08:36<07:24,  4.65it/s]

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overall:  48%|████▊     | 1933/4000 [08:36<07:24,  4.66it/s]

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overall:  48%|████▊     | 1934/4000 [08:37<07:28,  4.61it/s]

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overall:  48%|████▊     | 1935/4000 [08:37<07:33,  4.55it/s]

train:  55%|█████▌    | 1935/3515 [08:34<05:47,  4.55it/s]
overall:  48%|████▊     | 1936/4000 [08:37<06:28,  5.32it/s]

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overall:  48%|████▊     | 1937/4000 [08:37<06:36,  5.20it/s]

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overall:  48%|████▊     | 1938/4000 [08:37<07:22,  4.66it/s]

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overall:  48%|████▊     | 1939/4000 [08:38<07:24,  4.64it/s]

train:  55%|█████▌    | 1939/3515 [08:35<05:39,  4.64it/s]
overall:  48%|████▊     | 1940/4000 [08:38<07:42,  4.45it/s]

train:  55%|█████▌    | 1940/3515 [08:35<05:53,  4.45it/s]
overall:  49%|████▊     | 1941/4000 [08:38<07:18,  4.69it/s]

train:  55%|█████▌    | 1941/3515 [08:35<05:35,  4.69it/s]
overall:  49%|████▊     | 1942/4000 [08:38<07:49,  4.38it/s]

train:  55%|█████▌    | 1942/3515 [08:36<05:58,  4.38it/s]
overall:  49%|████▊     | 1943/4000 [08:38<07:41,  4.46it/s]

train:  55%|█████▌    | 1943/3515 [08:36<05:52,  4.46it/s]
overall:  49%|████▊     | 1945/4000 [08:39<06:48,  5.03it/s]

train:  55%|█████▌    | 1945/3515 [08:36<05:12,  5.03it/s]
overall:  49%|████▊     | 1946/4000 [08:39<07:12,  4.75it/s]

train:  55%|█████▌    | 1946/3515 [08:36<05:30,  4.75it/s]
overall:  49%|████▊     | 1948/4000 [08:39<06:19,  5.40it/s]

train:  55%|█████▌    | 1948/3515 [08:37<04:49,  5.40it/s]
overall:  49%|████▊     | 1949/4000 [08:40<06:33,  5.22it/s]

train:  55%|█████▌    | 1949/3515 [08:37<05:00,  5.22it/s]
overall:  49%|████▉     | 1950/4000 [08:40<07:10,  4.77it/s]

train:  55%|█████▌    | 1950/3515 [08:37<05:28,  4.77it/s]
overall:  49%|████▉     | 1951/4000 [08:40<07:11,  4.74it/s]

train:  56%|█████▌    | 1951/3515 [08:37<05:29,  4.74it/s]
overall:  49%|████▉     | 1952/4000 [08:40<07:10,  4.76it/s]

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overall:  49%|████▉     | 1953/4000 [08:40<07:12,  4.73it/s]

train:  56%|█████▌    | 1953/3515 [08:38<05:30,  4.73it/s]
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train:  56%|█████▌    | 1956/3515 [08:38<05:40,  4.58it/s]
overall:  49%|████▉     | 1957/4000 [08:41<07:24,  4.59it/s]

train:  56%|█████▌    | 1957/3515 [08:39<05:39,  4.59it/s]
overall:  49%|████▉     | 1958/4000 [08:42<07:20,  4.63it/s]

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overall:  49%|████▉     | 1959/4000 [08:42<07:13,  4.70it/s]

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overall:  49%|████▉     | 1960/4000 [08:42<07:20,  4.64it/s]

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overall:  49%|████▉     | 1961/4000 [08:42<07:17,  4.66it/s]

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overall:  49%|████▉     | 1962/4000 [08:42<07:59,  4.25it/s]

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overall:  49%|████▉     | 1963/4000 [08:43<07:51,  4.32it/s]

train:  56%|█████▌    | 1963/3515 [08:40<05:59,  4.32it/s]
overall:  49%|████▉     | 1964/4000 [08:43<07:54,  4.29it/s]

train:  56%|█████▌    | 1964/3515 [08:40<06:01,  4.29it/s]
overall:  49%|████▉     | 1965/4000 [08:43<07:44,  4.38it/s]

train:  56%|█████▌    | 1965/3515 [08:40<05:53,  4.38it/s]
overall:  49%|████▉     | 1966/4000 [08:43<07:58,  4.25it/s]

train:  56%|█████▌    | 1966/3515 [08:41<06:04,  4.25it/s]
overall:  49%|████▉     | 1967/4000 [08:44<07:28,  4.53it/s]

train:  56%|█████▌    | 1967/3515 [08:41<05:41,  4.53it/s]
overall:  49%|████▉     | 1968/4000 [08:44<07:03,  4.79it/s]

train:  56%|█████▌    | 1968/3515 [08:41<05:22,  4.79it/s]
overall:  49%|████▉     | 1969/4000 [08:44<07:37,  4.44it/s]

train:  56%|█████▌    | 1969/3515 [08:41<05:48,  4.44it/s]
overall:  49%|████▉     | 1970/4000 [08:44<07:48,  4.33it/s]

train:  56%|█████▌    | 1970/3515 [08:42<05:56,  4.33it/s]
overall:  49%|████▉     | 1971/4000 [08:45<07:41,  4.40it/s]

train:  56%|█████▌    | 1971/3515 [08:42<05:50,  4.40it/s]
overall:  49%|████▉     | 1972/4000 [08:45<07:32,  4.48it/s]

train:  56%|█████▌    | 1972/3515 [08:42<05:44,  4.48it/s]
overall:  49%|████▉     | 1973/4000 [08:45<07:25,  4.55it/s]

train:  56%|█████▌    | 1973/3515 [08:42<05:38,  4.55it/s]
overall:  49%|████▉     | 1974/4000 [08:45<07:48,  4.32it/s]

train:  56%|█████▌    | 1974/3515 [08:42<05:56,  4.32it/s]
overall:  49%|████▉     | 1975/4000 [08:45<07:44,  4.36it/s]

train:  56%|█████▌    | 1975/3515 [08:43<05:52,  4.36it/s]
overall:  49%|████▉     | 1976/4000 [08:46<07:27,  4.52it/s]

train:  56%|█████▌    | 1976/3515 [08:43<05:40,  4.53it/s]
overall:  49%|████▉     | 1977/4000 [08:46<07:26,  4.53it/s]

train:  56%|█████▌    | 1977/3515 [08:43<05:39,  4.53it/s]
overall:  49%|████▉     | 1978/4000 [08:46<07:42,  4.37it/s]

train:  56%|█████▋    | 1978/3515 [08:43<05:51,  4.37it/s]
overall:  49%|████▉     | 1979/4000 [08:46<07:15,  4.64it/s]

train:  56%|█████▋    | 1979/3515 [08:44<05:31,  4.64it/s]
overall:  50%|████▉     | 1980/4000 [08:46<07:20,  4.59it/s]

train:  56%|█████▋    | 1980/3515 [08:44<05:34,  4.59it/s]
overall:  50%|████▉     | 1981/4000 [08:47<06:36,  5.10it/s]

train:  56%|█████▋    | 1981/3515 [08:44<05:01,  5.10it/s]
overall:  50%|████▉     | 1982/4000 [08:47<06:34,  5.12it/s]

train:  56%|█████▋    | 1982/3515 [08:44<04:59,  5.12it/s]
overall:  50%|████▉     | 1984/4000 [08:47<05:53,  5.70it/s]

train:  56%|█████▋    | 1984/3515 [08:44<04:28,  5.70it/s]
overall:  50%|████▉     | 1985/4000 [08:47<06:11,  5.43it/s]

train:  56%|█████▋    | 1985/3515 [08:45<04:41,  5.43it/s]
overall:  50%|████▉     | 1986/4000 [08:47<05:56,  5.65it/s]

train:  57%|█████▋    | 1986/3515 [08:45<04:30,  5.65it/s]
overall:  50%|████▉     | 1987/4000 [08:48<06:11,  5.42it/s]

train:  57%|█████▋    | 1987/3515 [08:45<04:41,  5.42it/s]
overall:  50%|████▉     | 1988/4000 [08:48<06:56,  4.84it/s]

train:  57%|█████▋    | 1988/3515 [08:45<05:15,  4.84it/s]
overall:  50%|████▉     | 1989/4000 [08:48<07:07,  4.71it/s]

train:  57%|█████▋    | 1989/3515 [08:45<05:24,  4.71it/s]
overall:  50%|████▉     | 1990/4000 [08:48<07:53,  4.25it/s]

train:  57%|█████▋    | 1990/3515 [08:46<05:59,  4.25it/s]
overall:  50%|████▉     | 1991/4000 [08:49<07:43,  4.33it/s]

train:  57%|█████▋    | 1991/3515 [08:46<05:51,  4.33it/s]
overall:  50%|████▉     | 1992/4000 [08:49<06:43,  4.98it/s]

train:  57%|█████▋    | 1992/3515 [08:46<05:05,  4.98it/s]
overall:  50%|████▉     | 1993/4000 [08:49<07:04,  4.73it/s]

train:  57%|█████▋    | 1993/3515 [08:46<05:21,  4.73it/s]
overall:  50%|████▉     | 1994/4000 [08:49<07:14,  4.62it/s]

train:  57%|█████▋    | 1994/3515 [08:47<05:29,  4.62it/s]
overall:  50%|████▉     | 1995/4000 [08:50<07:18,  4.57it/s]

train:  57%|█████▋    | 1995/3515 [08:47<05:32,  4.57it/s]
overall:  50%|████▉     | 1996/4000 [08:50<07:10,  4.65it/s]

train:  57%|█████▋    | 1996/3515 [08:47<05:26,  4.65it/s]
overall:  50%|████▉     | 1997/4000 [08:50<07:14,  4.61it/s]

train:  57%|█████▋    | 1997/3515 [08:47<05:28,  4.61it/s]
overall:  50%|████▉     | 1998/4000 [08:50<07:31,  4.44it/s]

train:  57%|█████▋    | 1998/3515 [08:47<05:41,  4.44it/s]
overall:  50%|████▉     | 1999/4000 [08:50<07:15,  4.59it/s]

train:  57%|█████▋    | 1999/3515 [08:48<05:30,  4.59it/s]dev loss: 2.6084091663360596
dev per: 0.6589490114464099
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.338679075241089
train per: 0.621087730820724
train loss: 2.3340647220611572
train per: 0.6244500314267756
train loss: 2.3732736110687256
train per: 0.6204860477840598
train loss: 2.31988263130188
train per: 0.6236133563743799
train loss: 2.37286376953125
train per: 0.6216378316032295
train loss: 2.3327460289001465
train per: 0.6165917181937418
train loss: 2.3291428089141846
train per: 0.6210158072039389
train loss: 2.319068431854248
train per: 0.6130758024815391
train loss: 2.3271968364715576
train per: 0.6149134931604785
train loss: 2.343554973602295
train per: 0.621928955192739
train loss: 2.3673040866851807
train per: 0.6230135848882533
train loss: 2.3120625019073486
train per: 0.6144630694169364
train loss: 2.3636624813079834
train per: 0.6292077954948114
train loss: 2.323948621749878
train per: 0.6213382157123835
train loss: 2.3228251934051514
train per: 0.6160036513884886
train loss: 2.3744029998779297
train per: 0.6228510203087713
train loss: 2.3458380699157715
train per: 0.6265271300193379
train loss: 2.317957878112793
train per: 0.6235790296902495
train loss: 2.3324732780456543
train per: 0.6187796592588751
train loss: 2.331737756729126
train per: 0.615288827395365
train loss: 2.2887637615203857
train per: 0.6113441770319669
train loss: 2.3020918369293213
train per: 0.6122603492489925
train loss: 2.301520347595215
train per: 0.6194676201827573
train loss: 2.34659481048584
train per: 0.6164734942048261
train loss: 2.3672268390655518
train per: 0.6258837248852068
train loss: 2.337240695953369
train per: 0.6184011026878015
train loss: 2.346564531326294
train per: 0.6185895703863821
train loss: 2.377251148223877
train per: 0.6257186797586656
train loss: 2.3281893730163574
train per: 0.6141778307731874
train loss: 2.3429698944091797
train per: 0.6189397483564376
train loss: 2.34087872505188
train per: 0.621110683596255
train loss: 2.361150026321411
train per: 0.6249848009532842
train loss: 2.324903964996338
train per: 0.6209870848708487
train loss: 2.342231273651123
train per: 0.621191985279084
train loss: 2.2989444732666016
train per: 0.6155777075136974
train loss: 2.2946438789367676
train per: 0.6208862477753311
train loss: 2.3300154209136963
train per: 0.6206731790189
train loss: 2.3232643604278564
train per: 0.6188798173561307
train loss: 2.3060765266418457
train per: 0.6184045739177784
train loss: 2.3781185150146484
train per: 0.6213486781290442
train loss: 2.3466174602508545
train per: 0.6181270512071213
train loss: 2.367337465286255
train per: 0.6245435375199301
train loss: 2.3062541484832764
train per: 0.6096146186018722
train loss: 2.2985949516296387
train per: 0.6142180572349859
train loss: 2.314927101135254
train per: 0.6172667548807949
train loss: 2.317690134048462
train per: 0.6164823690058636
train loss: 2.313786506652832
train per: 0.6189697870232789
train loss: 2.366964340209961
train per: 0.6246929031659946
train loss: 2.2729663848876953
train per: 0.603951193937372
train loss: 2.3293280601501465
train per: 0.6187099116543628
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 222/2703 [00:00<00:01, 2218.02it/s]


word -> phonemes:  17%|█▋        | 450/2703 [00:00<00:01, 2249.48it/s]


word -> phonemes:  25%|██▍       | 675/2703 [00:00<00:00, 2197.28it/s]


word -> phonemes:  36%|███▌      | 968/2703 [00:00<00:00, 2482.13it/s]


word -> phonemes:  47%|████▋     | 1270/2703 [00:00<00:00, 2673.44it/s]


word -> phonemes:  59%|█████▊    | 1587/2703 [00:00<00:00, 2840.91it/s]


word -> phonemes:  71%|███████   | 1906/2703 [00:00<00:00, 2954.34it/s]


word -> phonemes:  82%|████████▏ | 2219/2703 [00:00<00:00, 3007.65it/s]


word -> phonemes:  93%|█████████▎| 2521/2703 [00:00<00:00, 2809.91it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2670.16it/s]



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


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dev:   2%|▏         | 65/2703 [00:04<02:19, 18.97it/s]


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overall:  75%|███████▍  | 2993/4000 [14:12<03:46,  4.45it/s]

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overall:  75%|███████▍  | 2994/4000 [14:12<03:41,  4.55it/s]

train:  85%|████████▌ | 2994/3515 [14:10<01:54,  4.55it/s]
overall:  75%|███████▍  | 2995/4000 [14:13<03:40,  4.56it/s]

train:  85%|████████▌ | 2995/3515 [14:10<01:54,  4.56it/s]
overall:  75%|███████▍  | 2996/4000 [14:13<03:41,  4.54it/s]

train:  85%|████████▌ | 2996/3515 [14:10<01:54,  4.54it/s]
overall:  75%|███████▍  | 2997/4000 [14:13<03:51,  4.34it/s]

train:  85%|████████▌ | 2997/3515 [14:10<01:59,  4.34it/s]
overall:  75%|███████▍  | 2998/4000 [14:13<03:39,  4.57it/s]

train:  85%|████████▌ | 2998/3515 [14:11<01:53,  4.57it/s]
overall:  75%|███████▍  | 2999/4000 [14:14<03:44,  4.46it/s]

train:  85%|████████▌ | 2999/3515 [14:11<01:55,  4.46it/s]dev loss: 2.571802854537964
dev per: 0.6527939646201874
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.2820231914520264
train per: 0.6112382542204033
train loss: 2.293489694595337
train per: 0.6167529463597312
train loss: 2.3239552974700928
train per: 0.6198365202160269
train loss: 2.325237989425659
train per: 0.6179926387315968
train loss: 2.2911696434020996
train per: 0.6123528237876671
train loss: 2.3071773052215576
train per: 0.6137995915651316
train loss: 2.33463978767395
train per: 0.6149534463753841
train loss: 2.3477325439453125
train per: 0.6198088410991637
train loss: 2.271942615509033
train per: 0.6087475052329261
train loss: 2.295396327972412
train per: 0.611075399376235
train loss: 2.302471160888672
train per: 0.6127041981380643
train loss: 2.3153903484344482
train per: 0.6164338160310014
train loss: 2.3569726943969727
train per: 0.6248930710008554
train loss: 2.309321165084839
train per: 0.6120101904646367
train loss: 2.2835373878479004
train per: 0.6166241134751773
train loss: 2.3309178352355957
train per: 0.6133878727071596
train loss: 2.3371806144714355
train per: 0.6201589678608456
train loss: 2.3147056102752686
train per: 0.6118498440137063
train loss: 2.29351806640625
train per: 0.6088476632179808
train loss: 2.3097143173217773
train per: 0.6095252829994069
train loss: 2.315891742706299
train per: 0.6190095420864652
train loss: 2.3649234771728516
train per: 0.6217758287357947
train loss: 2.376070737838745
train per: 0.6227780541860781
train loss: 2.2919209003448486
train per: 0.6114608103697486
train loss: 2.290968418121338
train per: 0.6109830617495712
train loss: 2.294419288635254
train per: 0.6121807091117042
train loss: 2.26021146774292
train per: 0.6010436096616533
train loss: 2.272123336791992
train per: 0.6100532399635474
train loss: 2.270812749862671
train per: 0.6061852604450612
train loss: 2.341383218765259
train per: 0.6135386575074494
train loss: 2.2736706733703613
train per: 0.611420302760463
train loss: 2.265653371810913
train per: 0.6102605148330794
train loss: 2.283123731613159
train per: 0.6115357725471918
train loss: 2.298973560333252
train per: 0.6147271861450162
train loss: 2.3134965896606445
train per: 0.6128205128205129
train loss: 2.296243190765381
train per: 0.6132189929961948
train loss: 2.3542656898498535
train per: 0.627444211564542
train loss: 2.279879331588745
train per: 0.6116718794427068
train loss: 2.2990407943725586
train per: 0.6131204921510395
train loss: 2.285386323928833
train per: 0.6074831803516495
train loss: 2.284853935241699
train per: 0.6109481429920947
train loss: 2.313047409057617
train per: 0.6165066372842227
train loss: 2.3008017539978027
train per: 0.6209309156941811
train loss: 2.3365719318389893
train per: 0.6146220287609107
train loss: 2.305586338043213
train per: 0.6176561933847508
train loss: 2.3140578269958496
train per: 0.6097737782777153
train loss: 2.3194756507873535
train per: 0.6173953139859938
train loss: 2.345364570617676
train per: 0.6164746361228693
train loss: 2.316279411315918
train per: 0.6218222211001995
train loss: 2.338549852371216
train per: 0.6224726304369267
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 196/2703 [00:00<00:01, 1958.29it/s]


word -> phonemes:  17%|█▋        | 469/2703 [00:00<00:00, 2409.76it/s]


word -> phonemes:  28%|██▊       | 763/2703 [00:00<00:00, 2649.61it/s]


word -> phonemes:  39%|███▉      | 1062/2703 [00:00<00:00, 2780.45it/s]


word -> phonemes:  50%|████▉     | 1341/2703 [00:00<00:00, 2680.15it/s]


word -> phonemes:  61%|██████    | 1643/2703 [00:00<00:00, 2789.76it/s]


word -> phonemes:  72%|███████▏  | 1946/2703 [00:00<00:00, 2866.12it/s]


word -> phonemes:  83%|████████▎ | 2240/2703 [00:00<00:00, 2889.11it/s]


word -> phonemes:  94%|█████████▎| 2530/2703 [00:00<00:00, 2890.30it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2779.41it/s]



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


dev:   0%|          | 1/2703 [00:01<50:21,  1.12s/it]


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dev:   2%|▏         | 66/2703 [00:04<02:23, 18.33it/s]


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dev:   7%|▋         | 187/2703 [00:11<02:13, 18.85it/s]


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train: 100%|██████████| 3515/3515 [17:52<00:00,  5.09it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [17:52<00:00,  3.28it/s]
dev loss: 2.5651674270629883
dev per: 0.6522476586888658
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.253371238708496
train per: 0.6073100513205658
train loss: 2.310802936553955
train per: 0.6162600294743736
train loss: 2.278257369995117
train per: 0.6122468847352025
train loss: 2.273808240890503
train per: 0.6054236604667574
train loss: 2.3202028274536133
train per: 0.6132506450162142
train loss: 2.287612199783325
train per: 0.6116075962221996
train loss: 2.2885494232177734
train per: 0.6135848486374855
train loss: 2.3305811882019043
train per: 0.6183569078552388
train loss: 2.3336708545684814
train per: 0.6162139282424122
train loss: 2.292156219482422
train per: 0.6145451951880557
train loss: 2.3150525093078613
train per: 0.6144038688758827
train loss: 2.345895290374756
train per: 0.6192551412216438
train loss: 2.2536463737487793
train per: 0.6065920241539816
train loss: 2.2765965461730957
train per: 0.6079108973311229
train loss: 2.3120265007019043
train per: 0.6171867333922089
train loss: 2.302443027496338
train per: 0.6099245515260651
train loss: 2.3137691020965576
train per: 0.6133305875892366
train loss: 2.3064568042755127
train per: 0.6149596816420567
train loss: 2.33161997795105
train per: 0.6219949388443695
train loss: 2.3057568073272705
train per: 0.6115035592023039
train loss: 2.2974188327789307
train per: 0.6156660980575579
train loss: 2.346696138381958
train per: 0.616224487149563
train loss: 2.354179859161377
train per: 0.6165564337050213
train loss: 2.33189058303833
train per: 0.6230948139350753
train loss: 2.3496556282043457
train per: 0.6230189659651858
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 261/3515 [00:00<00:01, 2609.60it/s]

word -> phonemes:  15%|█▍        | 522/3515 [00:00<00:01, 2598.43it/s]

word -> phonemes:  23%|██▎       | 795/3515 [00:00<00:01, 2653.78it/s]

word -> phonemes:  30%|███       | 1061/3515 [00:00<00:00, 2603.66it/s]

word -> phonemes:  38%|███▊      | 1322/3515 [00:00<00:00, 2337.34it/s]

word -> phonemes:  44%|████▍     | 1560/3515 [00:00<00:00, 2107.92it/s]

word -> phonemes:  51%|█████     | 1777/3515 [00:00<00:00, 1962.55it/s]

word -> phonemes:  56%|█████▋    | 1978/3515 [00:00<00:00, 1879.19it/s]

word -> phonemes:  64%|██████▍   | 2248/3515 [00:01<00:00, 2099.79it/s]

word -> phonemes:  70%|███████   | 2464/3515 [00:01<00:00, 2029.92it/s]

word -> phonemes:  76%|███████▌  | 2671/3515 [00:01<00:00, 2013.32it/s]

word -> phonemes:  83%|████████▎ | 2933/3515 [00:01<00:00, 2183.34it/s]

word -> phonemes:  91%|█████████ | 3190/3515 [00:01<00:00, 2292.29it/s]

word -> phonemes:  98%|█████████▊| 3446/3515 [00:01<00:00, 2367.66it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2238.45it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3528/4000 [18:02<01:49,  4.31it/s]

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overall:  88%|████████▊ | 3529/4000 [18:02<01:47,  4.37it/s]

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overall:  88%|████████▊ | 3530/4000 [18:02<01:41,  4.61it/s]

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overall:  88%|████████▊ | 3534/4000 [18:03<01:37,  4.77it/s]

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overall:  88%|████████▊ | 3535/4000 [18:03<01:37,  4.75it/s]

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overall:  88%|████████▊ | 3536/4000 [18:03<01:37,  4.76it/s]

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overall:  90%|█████████ | 3604/4000 [18:18<01:27,  4.53it/s]

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overall:  91%|█████████ | 3625/4000 [18:23<01:40,  3.73it/s]

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overall:  91%|█████████ | 3627/4000 [18:23<01:28,  4.21it/s]

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overall:  91%|█████████ | 3629/4000 [18:23<01:13,  5.04it/s]

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overall:  91%|█████████ | 3631/4000 [18:24<01:13,  5.02it/s]

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overall:  91%|█████████ | 3633/4000 [18:24<01:16,  4.79it/s]

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overall:  91%|█████████ | 3634/4000 [18:24<01:17,  4.75it/s]

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overall:  91%|█████████ | 3645/4000 [18:27<01:17,  4.59it/s]

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overall:  91%|█████████ | 3648/4000 [18:28<01:23,  4.20it/s]

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overall:  91%|█████████▏| 3650/4000 [18:28<01:13,  4.75it/s]

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overall:  92%|█████████▏| 3661/4000 [18:30<01:19,  4.28it/s]

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overall: 100%|█████████▉| 3993/4000 [19:41<00:01,  5.36it/s]

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overall: 100%|█████████▉| 3994/4000 [19:41<00:01,  5.51it/s]

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overall: 100%|█████████▉| 3996/4000 [19:42<00:00,  4.87it/s]

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overall: 100%|█████████▉| 3997/4000 [19:42<00:00,  4.81it/s]

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overall: 100%|█████████▉| 3998/4000 [19:42<00:00,  4.71it/s]

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overall: 100%|█████████▉| 3999/4000 [19:42<00:00,  4.80it/s]

train:  14%|█▍        | 484/3515 [01:44<10:31,  4.80it/s]train loss: 2.330667495727539
train per: 0.6128721895888192
train loss: 2.311068058013916
train per: 0.6178037913863894
train loss: 2.268605947494507
train per: 0.6050199831988392
train loss: 2.345552921295166
train per: 0.6176359338061466
train loss: 2.3499014377593994
train per: 0.6240079113522834
train loss: 2.30560040473938
train per: 0.6104495385531408
train loss: 2.3008084297180176
train per: 0.6102581755593803
train loss: 2.323275327682495
train per: 0.6182806677216806
train loss: 2.3369834423065186
train per: 0.6235479926635419
train loss: 2.3020987510681152
train per: 0.6172233982136404
train loss: 2.329904556274414
train per: 0.6195309856588844
train loss: 2.3436801433563232
train per: 0.6181392235609103
train loss: 2.285356044769287
train per: 0.6111153119092627
train loss: 2.3180153369903564
train per: 0.6165130909185831
train loss: 2.3502306938171387
train per: 0.6232226878872805
train loss: 2.2866268157958984
train per: 0.6104298372559473
train loss: 2.282160520553589
train per: 0.6135904635239643
train loss: 2.3000099658966064
train per: 0.6113989637305699
train loss: 2.302581310272217
train per: 0.6108205457147087
train loss: 2.297616481781006
train per: 0.6109124897768431
train loss: 2.3272311687469482
train per: 0.6191493691493691
train loss: 2.3052916526794434
train per: 0.6154202514890801
train loss: 2.3208746910095215
train per: 0.6128309620838398
train loss: 2.2944014072418213
train per: 0.6101196265318032
train loss: 2.2891781330108643
train per: 0.6062317332937038
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   6%|▌         | 167/2703 [00:00<00:01, 1662.79it/s]


word -> phonemes:  14%|█▎        | 369/2703 [00:00<00:01, 1871.60it/s]


word -> phonemes:  21%|██        | 570/2703 [00:00<00:01, 1930.79it/s]


word -> phonemes:  29%|██▉       | 786/2703 [00:00<00:00, 2019.64it/s]


word -> phonemes:  37%|███▋      | 1003/2703 [00:00<00:00, 2071.65it/s]


word -> phonemes:  45%|████▍     | 1213/2703 [00:00<00:00, 2080.15it/s]


word -> phonemes:  53%|█████▎    | 1422/2703 [00:00<00:00, 2075.27it/s]


word -> phonemes:  63%|██████▎   | 1701/2703 [00:00<00:00, 2300.21it/s]


word -> phonemes:  74%|███████▍  | 2009/2703 [00:00<00:00, 2540.99it/s]


word -> phonemes:  86%|████████▌ | 2321/2703 [00:01<00:00, 2716.76it/s]


word -> phonemes:  97%|█████████▋| 2625/2703 [00:01<00:00, 2814.14it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2391.01it/s]



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


dev:   0%|          | 1/2703 [00:01<59:55,  1.33s/it]


dev:   0%|          | 3/2703 [00:01<17:48,  2.53it/s]


dev:   0%|          | 5/2703 [00:01<10:13,  4.40it/s]


dev:   0%|          | 7/2703 [00:01<07:07,  6.30it/s]


dev:   0%|          | 9/2703 [00:01<05:33,  8.07it/s]


dev:   0%|          | 11/2703 [00:01<04:34,  9.79it/s]


dev:   0%|          | 13/2703 [00:02<03:55, 11.40it/s]


dev:   1%|          | 15/2703 [00:02<03:46, 11.86it/s]


dev:   1%|          | 17/2703 [00:02<03:26, 13.00it/s]


dev:   1%|          | 19/2703 [00:02<03:09, 14.17it/s]


dev:   1%|          | 21/2703 [00:02<03:00, 14.87it/s]


dev:   1%|          | 23/2703 [00:02<02:56, 15.16it/s]


dev:   1%|          | 25/2703 [00:02<03:01, 14.76it/s]


dev:   1%|          | 27/2703 [00:03<03:04, 14.50it/s]


dev:   1%|          | 29/2703 [00:03<03:00, 14.83it/s]


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overall: 100%|█████████▉| 3999/4000 [21:37<00:00,  4.80it/s]

train:  14%|█▍        | 484/3515 [03:39<10:31,  4.80it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:37<00:00,  4.80it/s]

train:  14%|█▍        | 484/3515 [03:39<10:31,  4.80it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:37<00:00,  4.80it/s]

train:  14%|█▍        | 484/3515 [03:39<10:31,  4.80it/s]
overall: 100%|██████████| 4000/4000 [21:37<00:00, 31.29s/it]

train:  14%|█▍        | 485/3515 [03:39<26:20:00, 31.29s/it]403-128339-0009 Failed!!!

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

overall: 100%|██████████| 4000/4000 [21:38<00:00,  3.08it/s]
dev loss: 2.603428363800049
dev per: 0.6511862643080125
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
2. result/downstream/grid/states-4000.ckpt