/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k {'model_config': None, 'refresh': False}
Loading model from Local mert_test_8x_400k
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


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


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

word -> phonemes:  13%|█▎        | 457/3515 [00:00<00:00, 4563.87it/s]

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word -> phonemes:  40%|███▉      | 1404/3515 [00:00<00:00, 4702.49it/s]

word -> phonemes:  53%|█████▎    | 1875/3515 [00:00<00:00, 4615.76it/s]

word -> phonemes:  66%|██████▋   | 2337/3515 [00:00<00:00, 4585.45it/s]

word -> phonemes:  80%|███████▉  | 2802/3515 [00:00<00:00, 4605.63it/s]

word -> phonemes:  93%|█████████▎| 3263/3515 [00:00<00:00, 4377.58it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4494.50it/s]


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train:   5%|▌         | 185/3515 [00:38<10:52,  5.11it/s]
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train:   5%|▌         | 186/3515 [00:38<11:06,  5.00it/s]
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train:   5%|▌         | 187/3515 [00:38<11:02,  5.02it/s]
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train:   5%|▌         | 188/3515 [00:38<10:55,  5.07it/s]
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train:   5%|▌         | 189/3515 [00:39<11:11,  4.95it/s]
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train:   5%|▌         | 190/3515 [00:39<11:25,  4.85it/s]
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train:   5%|▌         | 191/3515 [00:39<11:14,  4.93it/s]
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train:   6%|▌         | 195/3515 [00:40<10:33,  5.24it/s]
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overall:  10%|▉         | 380/4000 [01:20<11:33,  5.22it/s]

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overall:  10%|▉         | 381/4000 [01:20<13:23,  4.50it/s]

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overall:  10%|▉         | 382/4000 [01:20<12:47,  4.71it/s]

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overall:  10%|▉         | 383/4000 [01:20<12:26,  4.85it/s]

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overall:  10%|▉         | 384/4000 [01:21<12:33,  4.80it/s]

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overall:  10%|▉         | 385/4000 [01:21<12:18,  4.89it/s]

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overall:  10%|▉         | 386/4000 [01:21<12:04,  4.99it/s]

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overall:  10%|▉         | 387/4000 [01:21<12:15,  4.91it/s]

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overall:  10%|▉         | 388/4000 [01:21<12:00,  5.01it/s]

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overall:  10%|▉         | 389/4000 [01:22<12:06,  4.97it/s]

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overall:  10%|▉         | 390/4000 [01:22<11:37,  5.17it/s]

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overall:  10%|▉         | 391/4000 [01:22<11:36,  5.19it/s]

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overall:  10%|▉         | 392/4000 [01:22<11:52,  5.07it/s]

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overall:  10%|▉         | 393/4000 [01:22<11:43,  5.13it/s]

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overall:  10%|▉         | 394/4000 [01:23<11:52,  5.06it/s]

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overall:  10%|▉         | 395/4000 [01:23<14:54,  4.03it/s]

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overall:  10%|▉         | 396/4000 [01:23<13:55,  4.31it/s]

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overall:  10%|▉         | 397/4000 [01:23<13:28,  4.46it/s]

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overall:  10%|▉         | 398/4000 [01:23<13:13,  4.54it/s]

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overall:  10%|█         | 402/4000 [01:24<11:22,  5.27it/s]

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overall:  10%|█         | 406/4000 [01:25<13:10,  4.54it/s]

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overall:  10%|█         | 407/4000 [01:25<12:48,  4.68it/s]

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overall:  10%|█         | 408/4000 [01:25<12:30,  4.79it/s]

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overall:  10%|█         | 409/4000 [01:26<12:14,  4.89it/s]

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overall:  10%|█         | 410/4000 [01:26<12:15,  4.88it/s]

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overall:  10%|█         | 411/4000 [01:26<12:16,  4.87it/s]

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overall:  10%|█         | 412/4000 [01:26<12:23,  4.83it/s]

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overall:  10%|█         | 413/4000 [01:26<11:55,  5.01it/s]

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overall:  10%|█         | 414/4000 [01:27<11:58,  4.99it/s]

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overall:  10%|█         | 415/4000 [01:27<11:22,  5.25it/s]

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overall:  10%|█         | 417/4000 [01:27<10:03,  5.94it/s]

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overall:  10%|█         | 418/4000 [01:27<10:35,  5.63it/s]

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overall:  10%|█         | 419/4000 [01:28<13:34,  4.40it/s]

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overall:  10%|█         | 420/4000 [01:28<13:18,  4.48it/s]

train:  12%|█▏        | 420/3515 [01:26<11:30,  4.48it/s]
overall:  11%|█         | 421/4000 [01:28<12:56,  4.61it/s]

train:  12%|█▏        | 421/3515 [01:26<11:11,  4.61it/s]
overall:  11%|█         | 422/4000 [01:28<12:48,  4.66it/s]

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overall:  11%|█         | 423/4000 [01:29<12:35,  4.74it/s]

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overall:  11%|█         | 424/4000 [01:29<11:18,  5.27it/s]

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overall:  11%|█         | 425/4000 [01:29<11:52,  5.02it/s]

train:  12%|█▏        | 425/3515 [01:27<10:15,  5.02it/s]
overall:  11%|█         | 426/4000 [01:29<11:54,  5.00it/s]

train:  12%|█▏        | 426/3515 [01:27<10:17,  5.00it/s]
overall:  11%|█         | 428/4000 [01:29<10:24,  5.72it/s]

train:  12%|█▏        | 428/3515 [01:27<09:00,  5.72it/s]
overall:  11%|█         | 429/4000 [01:30<12:26,  4.78it/s]

train:  12%|█▏        | 429/3515 [01:28<10:45,  4.78it/s]
overall:  11%|█         | 430/4000 [01:30<12:25,  4.79it/s]

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overall:  11%|█         | 431/4000 [01:30<12:25,  4.79it/s]

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overall:  11%|█         | 432/4000 [01:30<12:25,  4.79it/s]

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overall:  11%|█         | 433/4000 [01:31<12:16,  4.84it/s]

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overall:  11%|█         | 434/4000 [01:31<12:19,  4.82it/s]

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overall:  11%|█         | 435/4000 [01:31<12:45,  4.65it/s]

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overall:  11%|█         | 436/4000 [01:31<12:16,  4.84it/s]

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overall:  11%|█         | 437/4000 [01:31<12:09,  4.88it/s]

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overall:  11%|█         | 438/4000 [01:32<11:59,  4.95it/s]

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overall:  11%|█         | 439/4000 [01:32<11:59,  4.95it/s]

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overall:  11%|█         | 440/4000 [01:32<11:08,  5.32it/s]

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overall:  11%|█         | 441/4000 [01:32<11:42,  5.06it/s]

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overall:  11%|█         | 442/4000 [01:32<11:38,  5.09it/s]

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overall:  11%|█         | 443/4000 [01:33<14:25,  4.11it/s]

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overall:  11%|█         | 444/4000 [01:33<13:49,  4.29it/s]

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overall:  11%|█         | 445/4000 [01:33<13:24,  4.42it/s]

train:  13%|█▎        | 445/3515 [01:31<11:34,  4.42it/s]
overall:  11%|█         | 446/4000 [01:33<13:16,  4.46it/s]

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overall:  11%|█         | 447/4000 [01:34<13:04,  4.53it/s]

train:  13%|█▎        | 447/3515 [01:31<11:17,  4.53it/s]
overall:  11%|█         | 448/4000 [01:34<12:59,  4.56it/s]

train:  13%|█▎        | 448/3515 [01:32<11:13,  4.56it/s]
overall:  11%|█         | 449/4000 [01:34<12:56,  4.58it/s]

train:  13%|█▎        | 449/3515 [01:32<11:10,  4.58it/s]
overall:  11%|█▏        | 450/4000 [01:34<12:22,  4.78it/s]

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overall:  11%|█▏        | 451/4000 [01:34<12:03,  4.91it/s]

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overall:  11%|█▏        | 452/4000 [01:35<12:08,  4.87it/s]

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overall:  11%|█▏        | 453/4000 [01:35<14:22,  4.11it/s]

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overall:  11%|█▏        | 454/4000 [01:35<13:42,  4.31it/s]

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overall:  11%|█▏        | 455/4000 [01:35<13:13,  4.47it/s]

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overall:  11%|█▏        | 456/4000 [01:35<12:55,  4.57it/s]

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overall:  11%|█▏        | 457/4000 [01:36<12:24,  4.76it/s]

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overall:  11%|█▏        | 458/4000 [01:36<12:18,  4.80it/s]

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overall:  11%|█▏        | 459/4000 [01:36<12:38,  4.67it/s]

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overall:  12%|█▏        | 460/4000 [01:36<12:35,  4.69it/s]

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overall:  12%|█▏        | 461/4000 [01:37<12:25,  4.75it/s]

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overall:  12%|█▏        | 462/4000 [01:37<12:06,  4.87it/s]

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overall:  12%|█▏        | 463/4000 [01:37<11:56,  4.94it/s]

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overall:  12%|█▏        | 465/4000 [01:37<10:16,  5.73it/s]

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overall:  12%|█▏        | 468/4000 [01:38<11:55,  4.94it/s]

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overall:  12%|█▏        | 470/4000 [01:38<12:10,  4.83it/s]

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overall:  12%|█▏        | 472/4000 [01:39<11:55,  4.93it/s]

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overall:  12%|█▏        | 473/4000 [01:39<11:58,  4.91it/s]

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overall:  12%|█▏        | 474/4000 [01:39<12:03,  4.88it/s]

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overall:  12%|█▏        | 477/4000 [01:40<13:50,  4.24it/s]

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overall:  12%|█▏        | 478/4000 [01:40<13:10,  4.46it/s]

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overall:  12%|█▏        | 479/4000 [01:40<12:39,  4.64it/s]

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overall:  13%|█▎        | 535/4000 [01:52<11:06,  5.20it/s]

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overall:  13%|█▎        | 537/4000 [01:52<11:02,  5.23it/s]

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overall:  13%|█▎        | 538/4000 [01:52<09:48,  5.89it/s]

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overall:  13%|█▎        | 539/4000 [01:53<13:41,  4.21it/s]

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overall:  14%|█▎        | 541/4000 [01:53<12:34,  4.59it/s]

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overall:  14%|█▎        | 542/4000 [01:53<12:23,  4.65it/s]

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overall:  14%|█▎        | 543/4000 [01:54<11:59,  4.80it/s]

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overall:  14%|█▎        | 544/4000 [01:54<11:56,  4.82it/s]

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overall:  14%|█▎        | 545/4000 [01:54<11:54,  4.83it/s]

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overall:  14%|█▎        | 546/4000 [01:54<11:57,  4.81it/s]

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overall:  14%|█▎        | 547/4000 [01:54<11:35,  4.96it/s]

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overall:  14%|█▎        | 548/4000 [01:55<11:28,  5.01it/s]

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overall:  14%|█▎        | 549/4000 [01:55<13:08,  4.38it/s]

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overall:  14%|█▍        | 550/4000 [01:55<12:28,  4.61it/s]

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overall:  14%|█▍        | 551/4000 [01:55<12:21,  4.65it/s]

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overall:  14%|█▍        | 552/4000 [01:55<12:13,  4.70it/s]

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overall:  14%|█▍        | 553/4000 [01:56<12:02,  4.77it/s]

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overall:  14%|█▍        | 554/4000 [01:56<12:06,  4.75it/s]

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overall:  14%|█▍        | 555/4000 [01:56<12:39,  4.53it/s]

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overall:  14%|█▍        | 557/4000 [01:57<11:43,  4.89it/s]

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overall:  14%|█▍        | 558/4000 [01:57<11:44,  4.89it/s]

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overall:  14%|█▍        | 561/4000 [01:57<11:31,  4.98it/s]

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overall:  14%|█▍        | 562/4000 [01:58<11:24,  5.03it/s]

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overall:  14%|█▍        | 566/4000 [01:59<12:38,  4.53it/s]

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overall:  14%|█▍        | 568/4000 [01:59<11:16,  5.07it/s]

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overall:  14%|█▍        | 569/4000 [01:59<11:26,  5.00it/s]

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overall:  14%|█▍        | 571/4000 [01:59<08:46,  6.51it/s]

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overall:  14%|█▍        | 572/4000 [01:59<09:27,  6.04it/s]

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overall:  14%|█▍        | 574/4000 [02:00<11:40,  4.89it/s]

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overall:  14%|█▍        | 576/4000 [02:00<10:53,  5.24it/s]

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overall:  14%|█▍        | 577/4000 [02:00<09:32,  5.98it/s]

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overall:  14%|█▍        | 578/4000 [02:01<10:07,  5.63it/s]

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overall:  14%|█▍        | 579/4000 [02:01<11:12,  5.09it/s]

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overall:  25%|██▍       | 989/4000 [03:25<10:07,  4.95it/s]

train:  28%|██▊       | 989/3515 [03:23<08:29,  4.95it/s]
overall:  25%|██▍       | 990/4000 [03:25<09:52,  5.08it/s]

train:  28%|██▊       | 990/3515 [03:23<08:16,  5.08it/s]
overall:  25%|██▍       | 991/4000 [03:26<10:02,  5.00it/s]

train:  28%|██▊       | 991/3515 [03:24<08:25,  5.00it/s]
overall:  25%|██▍       | 992/4000 [03:26<10:04,  4.98it/s]

train:  28%|██▊       | 992/3515 [03:24<08:26,  4.98it/s]
overall:  25%|██▍       | 993/4000 [03:26<10:12,  4.91it/s]

train:  28%|██▊       | 993/3515 [03:24<08:33,  4.91it/s]
overall:  25%|██▍       | 994/4000 [03:26<10:08,  4.94it/s]

train:  28%|██▊       | 994/3515 [03:24<08:30,  4.94it/s]
overall:  25%|██▍       | 995/4000 [03:27<13:45,  3.64it/s]

train:  28%|██▊       | 995/3515 [03:25<11:32,  3.64it/s]
overall:  25%|██▍       | 996/4000 [03:27<12:10,  4.11it/s]

train:  28%|██▊       | 996/3515 [03:25<10:12,  4.11it/s]
overall:  25%|██▍       | 997/4000 [03:27<11:37,  4.31it/s]

train:  28%|██▊       | 997/3515 [03:25<09:44,  4.31it/s]
overall:  25%|██▍       | 998/4000 [03:27<11:16,  4.43it/s]

train:  28%|██▊       | 998/3515 [03:25<09:27,  4.43it/s]
overall:  25%|██▍       | 999/4000 [03:27<10:49,  4.62it/s]

train:  28%|██▊       | 999/3515 [03:25<09:04,  4.62it/s]train loss: 3.858144760131836
train per: 0.9008598751707696
train loss: 2.644392490386963
train per: 0.6746119025088873
train loss: 2.388324022293091
train per: 0.6207979648521662
train loss: 2.3073387145996094
train per: 0.5969594336499529
train loss: 2.2549586296081543
train per: 0.5840878488183127
train loss: 2.2292847633361816
train per: 0.582333960742135
train loss: 2.1391208171844482
train per: 0.5665186847497317
train loss: 2.2490251064300537
train per: 0.5826777931327735
train loss: 2.1160144805908203
train per: 0.5629653058245341
train loss: 2.124336004257202
train per: 0.5599616333241985
train loss: 2.1122238636016846
train per: 0.5662568126168347
train loss: 2.1137828826904297
train per: 0.5591864037260925
train loss: 2.1839027404785156
train per: 0.5744525547445255
train loss: 2.1126060485839844
train per: 0.5535150388569124
train loss: 2.041731357574463
train per: 0.5416401780038144
train loss: 2.0667455196380615
train per: 0.549185667752443
train loss: 2.0390584468841553
train per: 0.5431456548347613
train loss: 2.0655579566955566
train per: 0.5457647025923543
train loss: 2.115294933319092
train per: 0.5581049442225589
train loss: 2.044987201690674
train per: 0.5505261567896883
train loss: 2.0265450477600098
train per: 0.5392981331228883
train loss: 2.0705482959747314
train per: 0.5466736984856475
train loss: 2.078305721282959
train per: 0.5426017831261803
train loss: 2.0698211193084717
train per: 0.5465834033865737
train loss: 2.05027174949646
train per: 0.5398814035400598
train loss: 1.998682975769043
train per: 0.5297094899935442
train loss: 2.036263942718506
train per: 0.5384710173501577
train loss: 2.0023093223571777
train per: 0.5365775864032989
train loss: 1.9994490146636963
train per: 0.5324427480916031
train loss: 2.016282081604004
train per: 0.54038566707088
train loss: 2.047645330429077
train per: 0.5412974037514711
train loss: 1.9967529773712158
train per: 0.5303238132562582
train loss: 2.0308289527893066
train per: 0.539382981127811
train loss: 2.0414624214172363
train per: 0.5454758068707448
train loss: 2.01542592048645
train per: 0.5385433135255956
train loss: 2.0393738746643066
train per: 0.5439611832105694
train loss: 2.0733237266540527
train per: 0.5394267754948869
train loss: 2.0583701133728027
train per: 0.5419860207278863
train loss: 2.0520541667938232
train per: 0.5446994642944906
train loss: 2.031203508377075
train per: 0.5363808367008479
train loss: 2.014685869216919
train per: 0.5413290971670638
train loss: 2.0048704147338867
train per: 0.5363209350592605
train loss: 2.0171408653259277
train per: 0.53228992944195
train loss: 2.059403657913208
train per: 0.5452110861271823
train loss: 2.0024592876434326
train per: 0.5293553677305411
train loss: 2.000152111053467
train per: 0.5315272062185642
train loss: 2.030238628387451
train per: 0.5428903826266804
train loss: 2.0485787391662598
train per: 0.5450176831079074
train loss: 1.9975249767303467
train per: 0.5309056172968943
train loss: 1.9847694635391235
train per: 0.529362353929392
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  16%|█▌        | 424/2703 [00:00<00:00, 4236.66it/s]


word -> phonemes:  31%|███▏      | 850/2703 [00:00<00:00, 4164.09it/s]


word -> phonemes:  51%|█████     | 1370/2703 [00:00<00:00, 4627.99it/s]


word -> phonemes:  68%|██████▊   | 1834/2703 [00:00<00:00, 4398.80it/s]


word -> phonemes:  85%|████████▌ | 2310/2703 [00:00<00:00, 4520.83it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4218.98it/s]



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overall:  47%|████▋     | 1879/4000 [08:48<07:17,  4.85it/s]

train:  53%|█████▎    | 1879/3515 [08:46<05:37,  4.85it/s]
overall:  47%|████▋     | 1880/4000 [08:48<07:25,  4.76it/s]

train:  53%|█████▎    | 1880/3515 [08:46<05:43,  4.76it/s]
overall:  47%|████▋     | 1881/4000 [08:48<07:16,  4.85it/s]

train:  54%|█████▎    | 1881/3515 [08:46<05:36,  4.85it/s]
overall:  47%|████▋     | 1882/4000 [08:49<07:25,  4.75it/s]

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overall:  47%|████▋     | 1883/4000 [08:49<09:29,  3.72it/s]

train:  54%|█████▎    | 1883/3515 [08:47<07:18,  3.72it/s]
overall:  47%|████▋     | 1884/4000 [08:49<08:47,  4.01it/s]

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overall:  47%|████▋     | 1885/4000 [08:49<08:24,  4.19it/s]

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overall:  47%|████▋     | 1886/4000 [08:50<08:09,  4.32it/s]

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overall:  47%|████▋     | 1887/4000 [08:50<08:04,  4.36it/s]

train:  54%|█████▎    | 1887/3515 [08:48<06:13,  4.36it/s]
overall:  47%|████▋     | 1888/4000 [08:50<07:54,  4.45it/s]

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overall:  47%|████▋     | 1889/4000 [08:50<07:42,  4.56it/s]

train:  54%|█████▎    | 1889/3515 [08:48<05:56,  4.56it/s]
overall:  47%|████▋     | 1890/4000 [08:50<07:43,  4.55it/s]

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overall:  47%|████▋     | 1891/4000 [08:51<07:37,  4.61it/s]

train:  54%|█████▍    | 1891/3515 [08:48<05:52,  4.61it/s]
overall:  47%|████▋     | 1892/4000 [08:51<07:32,  4.66it/s]

train:  54%|█████▍    | 1892/3515 [08:49<05:48,  4.66it/s]
overall:  47%|████▋     | 1893/4000 [08:51<07:50,  4.48it/s]

train:  54%|█████▍    | 1893/3515 [08:49<06:02,  4.48it/s]
overall:  47%|████▋     | 1894/4000 [08:51<07:37,  4.60it/s]

train:  54%|█████▍    | 1894/3515 [08:49<05:52,  4.60it/s]
overall:  47%|████▋     | 1895/4000 [08:51<07:10,  4.89it/s]

train:  54%|█████▍    | 1895/3515 [08:49<05:31,  4.89it/s]
overall:  47%|████▋     | 1897/4000 [08:52<06:17,  5.57it/s]

train:  54%|█████▍    | 1897/3515 [08:50<04:50,  5.57it/s]
overall:  47%|████▋     | 1898/4000 [08:52<06:35,  5.32it/s]

train:  54%|█████▍    | 1898/3515 [08:50<05:04,  5.32it/s]
overall:  47%|████▋     | 1899/4000 [08:52<07:14,  4.83it/s]

train:  54%|█████▍    | 1899/3515 [08:50<05:34,  4.83it/s]
overall:  48%|████▊     | 1900/4000 [08:52<07:21,  4.75it/s]

train:  54%|█████▍    | 1900/3515 [08:50<05:39,  4.75it/s]
overall:  48%|████▊     | 1901/4000 [08:53<07:09,  4.89it/s]

train:  54%|█████▍    | 1901/3515 [08:51<05:30,  4.89it/s]
overall:  48%|████▊     | 1902/4000 [08:53<06:20,  5.51it/s]

train:  54%|█████▍    | 1902/3515 [08:51<04:52,  5.51it/s]
overall:  48%|████▊     | 1903/4000 [08:53<06:43,  5.19it/s]

train:  54%|█████▍    | 1903/3515 [08:51<05:10,  5.19it/s]
overall:  48%|████▊     | 1904/4000 [08:53<06:53,  5.07it/s]

train:  54%|█████▍    | 1904/3515 [08:51<05:17,  5.07it/s]
overall:  48%|████▊     | 1905/4000 [08:53<05:57,  5.85it/s]

train:  54%|█████▍    | 1905/3515 [08:51<04:34,  5.85it/s]
overall:  48%|████▊     | 1906/4000 [08:54<06:26,  5.42it/s]

train:  54%|█████▍    | 1906/3515 [08:51<04:56,  5.42it/s]
overall:  48%|████▊     | 1907/4000 [08:54<07:54,  4.41it/s]

train:  54%|█████▍    | 1907/3515 [08:52<06:04,  4.41it/s]
overall:  48%|████▊     | 1908/4000 [08:54<07:35,  4.59it/s]

train:  54%|█████▍    | 1908/3515 [08:52<05:49,  4.59it/s]
overall:  48%|████▊     | 1909/4000 [08:54<07:28,  4.67it/s]

train:  54%|█████▍    | 1909/3515 [08:52<05:44,  4.67it/s]
overall:  48%|████▊     | 1910/4000 [08:54<07:29,  4.65it/s]

train:  54%|█████▍    | 1910/3515 [08:52<05:45,  4.65it/s]
overall:  48%|████▊     | 1911/4000 [08:55<06:35,  5.29it/s]

train:  54%|█████▍    | 1911/3515 [08:52<05:03,  5.29it/s]
overall:  48%|████▊     | 1913/4000 [08:55<05:56,  5.85it/s]

train:  54%|█████▍    | 1913/3515 [08:53<04:33,  5.85it/s]
overall:  48%|████▊     | 1914/4000 [08:55<06:31,  5.33it/s]

train:  54%|█████▍    | 1914/3515 [08:53<05:00,  5.33it/s]
overall:  48%|████▊     | 1915/4000 [08:55<06:53,  5.04it/s]

train:  54%|█████▍    | 1915/3515 [08:53<05:17,  5.04it/s]
overall:  48%|████▊     | 1916/4000 [08:55<06:21,  5.46it/s]

train:  55%|█████▍    | 1916/3515 [08:53<04:52,  5.46it/s]
overall:  48%|████▊     | 1917/4000 [08:56<06:58,  4.97it/s]

train:  55%|█████▍    | 1917/3515 [08:54<05:21,  4.97it/s]
overall:  48%|████▊     | 1918/4000 [08:56<06:53,  5.03it/s]

train:  55%|█████▍    | 1918/3515 [08:54<05:17,  5.03it/s]
overall:  48%|████▊     | 1919/4000 [08:56<07:13,  4.80it/s]

train:  55%|█████▍    | 1919/3515 [08:54<05:32,  4.80it/s]
overall:  48%|████▊     | 1920/4000 [08:56<07:14,  4.78it/s]

train:  55%|█████▍    | 1920/3515 [08:54<05:33,  4.78it/s]
overall:  48%|████▊     | 1921/4000 [08:57<07:18,  4.75it/s]

train:  55%|█████▍    | 1921/3515 [08:54<05:35,  4.75it/s]
overall:  48%|████▊     | 1922/4000 [08:57<07:20,  4.71it/s]

train:  55%|█████▍    | 1922/3515 [08:55<05:37,  4.71it/s]
overall:  48%|████▊     | 1923/4000 [08:57<07:37,  4.54it/s]

train:  55%|█████▍    | 1923/3515 [08:55<05:50,  4.54it/s]
overall:  48%|████▊     | 1924/4000 [08:57<07:30,  4.61it/s]

train:  55%|█████▍    | 1924/3515 [08:55<05:45,  4.61it/s]
overall:  48%|████▊     | 1925/4000 [08:57<06:59,  4.95it/s]

train:  55%|█████▍    | 1925/3515 [08:55<05:21,  4.95it/s]
overall:  48%|████▊     | 1926/4000 [08:58<07:00,  4.94it/s]

train:  55%|█████▍    | 1926/3515 [08:56<05:21,  4.94it/s]
overall:  48%|████▊     | 1927/4000 [08:58<06:58,  4.96it/s]

train:  55%|█████▍    | 1927/3515 [08:56<05:20,  4.96it/s]
overall:  48%|████▊     | 1929/4000 [08:58<06:09,  5.60it/s]

train:  55%|█████▍    | 1929/3515 [08:56<04:42,  5.60it/s]
overall:  48%|████▊     | 1930/4000 [08:58<06:27,  5.34it/s]

train:  55%|█████▍    | 1930/3515 [08:56<04:56,  5.34it/s]
overall:  48%|████▊     | 1931/4000 [08:59<08:32,  4.04it/s]

train:  55%|█████▍    | 1931/3515 [08:57<06:32,  4.04it/s]
overall:  48%|████▊     | 1932/4000 [08:59<08:14,  4.19it/s]

train:  55%|█████▍    | 1932/3515 [08:57<06:18,  4.19it/s]
overall:  48%|████▊     | 1933/4000 [08:59<07:56,  4.34it/s]

train:  55%|█████▍    | 1933/3515 [08:57<06:04,  4.34it/s]
overall:  48%|████▊     | 1934/4000 [08:59<07:47,  4.42it/s]

train:  55%|█████▌    | 1934/3515 [08:57<05:58,  4.42it/s]
overall:  48%|████▊     | 1935/4000 [09:00<07:53,  4.36it/s]

train:  55%|█████▌    | 1935/3515 [08:58<06:02,  4.36it/s]
overall:  48%|████▊     | 1936/4000 [09:00<06:42,  5.12it/s]

train:  55%|█████▌    | 1936/3515 [08:58<05:08,  5.12it/s]
overall:  48%|████▊     | 1937/4000 [09:00<06:38,  5.17it/s]

train:  55%|█████▌    | 1937/3515 [08:58<05:05,  5.17it/s]
overall:  48%|████▊     | 1938/4000 [09:00<07:21,  4.67it/s]

train:  55%|█████▌    | 1938/3515 [08:58<05:37,  4.67it/s]
overall:  48%|████▊     | 1939/4000 [09:00<07:21,  4.67it/s]

train:  55%|█████▌    | 1939/3515 [08:58<05:37,  4.67it/s]
overall:  48%|████▊     | 1940/4000 [09:01<07:09,  4.79it/s]

train:  55%|█████▌    | 1940/3515 [08:58<05:29,  4.78it/s]
overall:  49%|████▊     | 1941/4000 [09:01<07:08,  4.81it/s]

train:  55%|█████▌    | 1941/3515 [08:59<05:27,  4.81it/s]
overall:  49%|████▊     | 1942/4000 [09:01<07:09,  4.79it/s]

train:  55%|█████▌    | 1942/3515 [08:59<05:28,  4.79it/s]
overall:  49%|████▊     | 1943/4000 [09:01<07:09,  4.79it/s]

train:  55%|█████▌    | 1943/3515 [08:59<05:28,  4.79it/s]
overall:  49%|████▊     | 1945/4000 [09:02<06:25,  5.32it/s]

train:  55%|█████▌    | 1945/3515 [08:59<04:54,  5.33it/s]
overall:  49%|████▊     | 1946/4000 [09:02<06:41,  5.11it/s]

train:  55%|█████▌    | 1946/3515 [09:00<05:07,  5.11it/s]
overall:  49%|████▊     | 1948/4000 [09:02<06:07,  5.59it/s]

train:  55%|█████▌    | 1948/3515 [09:00<04:40,  5.59it/s]
overall:  49%|████▊     | 1949/4000 [09:02<06:22,  5.36it/s]

train:  55%|█████▌    | 1949/3515 [09:00<04:51,  5.36it/s]
overall:  49%|████▉     | 1950/4000 [09:03<06:40,  5.12it/s]

train:  55%|█████▌    | 1950/3515 [09:00<05:05,  5.12it/s]
overall:  49%|████▉     | 1951/4000 [09:03<06:50,  4.99it/s]

train:  56%|█████▌    | 1951/3515 [09:01<05:13,  4.99it/s]
overall:  49%|████▉     | 1952/4000 [09:03<06:57,  4.90it/s]

train:  56%|█████▌    | 1952/3515 [09:01<05:18,  4.90it/s]
overall:  49%|████▉     | 1953/4000 [09:03<07:04,  4.82it/s]

train:  56%|█████▌    | 1953/3515 [09:01<05:23,  4.82it/s]
overall:  49%|████▉     | 1954/4000 [09:03<07:11,  4.74it/s]

train:  56%|█████▌    | 1954/3515 [09:01<05:29,  4.74it/s]
overall:  49%|████▉     | 1955/4000 [09:04<08:44,  3.90it/s]

train:  56%|█████▌    | 1955/3515 [09:02<06:40,  3.90it/s]
overall:  49%|████▉     | 1956/4000 [09:04<08:06,  4.21it/s]

train:  56%|█████▌    | 1956/3515 [09:02<06:10,  4.21it/s]
overall:  49%|████▉     | 1957/4000 [09:04<07:53,  4.32it/s]

train:  56%|█████▌    | 1957/3515 [09:02<06:00,  4.32it/s]
overall:  49%|████▉     | 1958/4000 [09:04<07:38,  4.45it/s]

train:  56%|█████▌    | 1958/3515 [09:02<05:49,  4.45it/s]
overall:  49%|████▉     | 1959/4000 [09:05<07:34,  4.49it/s]

train:  56%|█████▌    | 1959/3515 [09:02<05:46,  4.49it/s]
overall:  49%|████▉     | 1960/4000 [09:05<07:28,  4.55it/s]

train:  56%|█████▌    | 1960/3515 [09:03<05:42,  4.55it/s]
overall:  49%|████▉     | 1961/4000 [09:05<07:22,  4.61it/s]

train:  56%|█████▌    | 1961/3515 [09:03<05:36,  4.61it/s]
overall:  49%|████▉     | 1962/4000 [09:05<08:02,  4.23it/s]

train:  56%|█████▌    | 1962/3515 [09:03<06:07,  4.23it/s]
overall:  49%|████▉     | 1963/4000 [09:06<07:49,  4.34it/s]

train:  56%|█████▌    | 1963/3515 [09:03<05:57,  4.34it/s]
overall:  49%|████▉     | 1964/4000 [09:06<07:23,  4.59it/s]

train:  56%|█████▌    | 1964/3515 [09:04<05:37,  4.59it/s]
overall:  49%|████▉     | 1965/4000 [09:06<07:38,  4.44it/s]

train:  56%|█████▌    | 1965/3515 [09:04<05:49,  4.44it/s]
overall:  49%|████▉     | 1966/4000 [09:06<07:15,  4.67it/s]

train:  56%|█████▌    | 1966/3515 [09:04<05:31,  4.67it/s]
overall:  49%|████▉     | 1967/4000 [09:06<06:55,  4.89it/s]

train:  56%|█████▌    | 1967/3515 [09:04<05:16,  4.89it/s]
overall:  49%|████▉     | 1968/4000 [09:06<06:35,  5.14it/s]

train:  56%|█████▌    | 1968/3515 [09:04<05:01,  5.14it/s]
overall:  49%|████▉     | 1969/4000 [09:07<06:50,  4.95it/s]

train:  56%|█████▌    | 1969/3515 [09:05<05:12,  4.95it/s]
overall:  49%|████▉     | 1970/4000 [09:07<07:00,  4.82it/s]

train:  56%|█████▌    | 1970/3515 [09:05<05:20,  4.82it/s]
overall:  49%|████▉     | 1971/4000 [09:07<07:28,  4.53it/s]

train:  56%|█████▌    | 1971/3515 [09:05<05:41,  4.53it/s]
overall:  49%|████▉     | 1972/4000 [09:07<07:24,  4.56it/s]

train:  56%|█████▌    | 1972/3515 [09:05<05:38,  4.56it/s]
overall:  49%|████▉     | 1973/4000 [09:08<07:24,  4.56it/s]

train:  56%|█████▌    | 1973/3515 [09:05<05:38,  4.56it/s]
overall:  49%|████▉     | 1974/4000 [09:08<07:24,  4.56it/s]

train:  56%|█████▌    | 1974/3515 [09:06<05:37,  4.56it/s]
overall:  49%|████▉     | 1975/4000 [09:08<07:22,  4.58it/s]

train:  56%|█████▌    | 1975/3515 [09:06<05:36,  4.58it/s]
overall:  49%|████▉     | 1976/4000 [09:08<07:19,  4.61it/s]

train:  56%|█████▌    | 1976/3515 [09:06<05:34,  4.61it/s]
overall:  49%|████▉     | 1977/4000 [09:08<07:18,  4.61it/s]

train:  56%|█████▌    | 1977/3515 [09:06<05:33,  4.61it/s]
overall:  49%|████▉     | 1978/4000 [09:09<07:03,  4.78it/s]

train:  56%|█████▋    | 1978/3515 [09:07<05:21,  4.78it/s]
overall:  49%|████▉     | 1979/4000 [09:09<08:35,  3.92it/s]

train:  56%|█████▋    | 1979/3515 [09:07<06:31,  3.92it/s]
overall:  50%|████▉     | 1980/4000 [09:09<08:14,  4.09it/s]

train:  56%|█████▋    | 1980/3515 [09:07<06:15,  4.09it/s]
overall:  50%|████▉     | 1981/4000 [09:09<07:14,  4.64it/s]

train:  56%|█████▋    | 1981/3515 [09:07<05:30,  4.64it/s]
overall:  50%|████▉     | 1982/4000 [09:10<06:59,  4.81it/s]

train:  56%|█████▋    | 1982/3515 [09:07<05:18,  4.82it/s]
overall:  50%|████▉     | 1984/4000 [09:10<06:13,  5.39it/s]

train:  56%|█████▋    | 1984/3515 [09:08<04:43,  5.39it/s]
overall:  50%|████▉     | 1985/4000 [09:10<06:34,  5.11it/s]

train:  56%|█████▋    | 1985/3515 [09:08<04:59,  5.11it/s]
overall:  50%|████▉     | 1986/4000 [09:10<06:18,  5.32it/s]

train:  57%|█████▋    | 1986/3515 [09:08<04:47,  5.32it/s]
overall:  50%|████▉     | 1987/4000 [09:11<06:24,  5.24it/s]

train:  57%|█████▋    | 1987/3515 [09:08<04:51,  5.24it/s]
overall:  50%|████▉     | 1988/4000 [09:11<06:43,  4.99it/s]

train:  57%|█████▋    | 1988/3515 [09:09<05:06,  4.99it/s]
overall:  50%|████▉     | 1989/4000 [09:11<07:10,  4.67it/s]

train:  57%|█████▋    | 1989/3515 [09:09<05:26,  4.67it/s]
overall:  50%|████▉     | 1990/4000 [09:11<07:11,  4.66it/s]

train:  57%|█████▋    | 1990/3515 [09:09<05:27,  4.66it/s]
overall:  50%|████▉     | 1991/4000 [09:11<07:13,  4.63it/s]

train:  57%|█████▋    | 1991/3515 [09:09<05:29,  4.63it/s]
overall:  50%|████▉     | 1992/4000 [09:12<06:17,  5.32it/s]

train:  57%|█████▋    | 1992/3515 [09:09<04:46,  5.32it/s]
overall:  50%|████▉     | 1993/4000 [09:12<06:32,  5.12it/s]

train:  57%|█████▋    | 1993/3515 [09:10<04:57,  5.12it/s]
overall:  50%|████▉     | 1994/4000 [09:12<06:37,  5.05it/s]

train:  57%|█████▋    | 1994/3515 [09:10<05:01,  5.05it/s]
overall:  50%|████▉     | 1995/4000 [09:12<07:23,  4.52it/s]

train:  57%|█████▋    | 1995/3515 [09:10<05:36,  4.52it/s]
overall:  50%|████▉     | 1996/4000 [09:12<07:21,  4.54it/s]

train:  57%|█████▋    | 1996/3515 [09:10<05:34,  4.54it/s]
overall:  50%|████▉     | 1997/4000 [09:13<07:30,  4.45it/s]

train:  57%|█████▋    | 1997/3515 [09:11<05:41,  4.45it/s]
overall:  50%|████▉     | 1998/4000 [09:13<07:16,  4.59it/s]

train:  57%|█████▋    | 1998/3515 [09:11<05:30,  4.59it/s]
overall:  50%|████▉     | 1999/4000 [09:13<07:07,  4.68it/s]

train:  57%|█████▋    | 1999/3515 [09:11<05:23,  4.68it/s]dev loss: 2.3721213340759277
dev per: 0.5830176899063475
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.011777639389038
train per: 0.5356051228938793
train loss: 2.0130434036254883
train per: 0.5408862350722816
train loss: 2.0588009357452393
train per: 0.5408079518511764
train loss: 2.0059804916381836
train per: 0.5374881543006856
train loss: 2.050398588180542
train per: 0.5343944636678201
train loss: 2.0166373252868652
train per: 0.532672849915683
train loss: 2.0026211738586426
train per: 0.5332987820678933
train loss: 2.0095808506011963
train per: 0.5312201738082082
train loss: 2.006432294845581
train per: 0.5304322958867547
train loss: 1.996437668800354
train per: 0.5305670022429712
train loss: 2.035698652267456
train per: 0.5378139631432064
train loss: 1.98175048828125
train per: 0.52782474276605
train loss: 2.0217385292053223
train per: 0.5305239179954442
train loss: 1.95914626121521
train per: 0.5263537505548158
train loss: 1.9965059757232666
train per: 0.5301719996156433
train loss: 2.0462515354156494
train per: 0.5360395460965275
train loss: 2.021087646484375
train per: 0.5348197019679217
train loss: 1.955437421798706
train per: 0.5258218585034774
train loss: 2.006845712661743
train per: 0.5347353680989549
train loss: 2.0093414783477783
train per: 0.5304969445405281
train loss: 1.9605035781860352
train per: 0.5250361865508697
train loss: 1.97104012966156
train per: 0.5248504090853584
train loss: 1.953067421913147
train per: 0.5257316911667329
train loss: 2.0309293270111084
train per: 0.5317309519285579
train loss: 2.050971269607544
train per: 0.5470712567721873
train loss: 2.0042173862457275
train per: 0.5302549965541006
train loss: 2.0018303394317627
train per: 0.5317751958930019
train loss: 2.054184675216675
train per: 0.5400922749319769
train loss: 2.026865005493164
train per: 0.5364382408641369
train loss: 2.0276875495910645
train per: 0.5324403516115529
train loss: 2.0037574768066406
train per: 0.5333589842247018
train loss: 2.0327885150909424
train per: 0.5443447386979888
train loss: 2.0212602615356445
train per: 0.5367619926199262
train loss: 2.024211883544922
train per: 0.5376456757309344
train loss: 1.9658563137054443
train per: 0.5216383867152615
train loss: 1.9552290439605713
train per: 0.5363639105909324
train loss: 2.026486873626709
train per: 0.5458430664684646
train loss: 1.9894063472747803
train per: 0.5349777899099188
train loss: 1.9742100238800049
train per: 0.5297849169616118
train loss: 2.068387031555176
train per: 0.5382002218524681
train loss: 2.023789405822754
train per: 0.5285707863147957
train loss: 2.002347469329834
train per: 0.5280306537057039
train loss: 1.972683310508728
train per: 0.5236257717586138
train loss: 1.9377212524414062
train per: 0.520304312777106
train loss: 1.9924627542495728
train per: 0.5288436984933955
train loss: 2.0018231868743896
train per: 0.5352486010334949
train loss: 1.991626501083374
train per: 0.5313273897969292
train loss: 2.042771339416504
train per: 0.5350206276363974
train loss: 1.9442695379257202
train per: 0.5183261045708022
train loss: 1.9939994812011719
train per: 0.525668643349873
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▍        | 405/2703 [00:00<00:00, 4047.38it/s]


word -> phonemes:  32%|███▏      | 864/2703 [00:00<00:00, 4364.32it/s]


word -> phonemes:  48%|████▊     | 1301/2703 [00:00<00:00, 4293.00it/s]


word -> phonemes:  64%|██████▍   | 1731/2703 [00:00<00:00, 4201.63it/s]


word -> phonemes:  80%|███████▉  | 2152/2703 [00:00<00:00, 4135.91it/s]


word -> phonemes:  96%|█████████▌| 2590/2703 [00:00<00:00, 4187.90it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4239.15it/s]



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


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overall:  50%|████▉     | 1999/4000 [11:37<07:07,  4.68it/s]

train:  57%|█████▋    | 1999/3515 [11:35<05:23,  4.68it/s]
                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [11:37<07:07,  4.68it/s]

train:  57%|█████▋    | 1999/3515 [11:35<05:23,  4.68it/s]
overall:  50%|█████     | 2000/4000 [11:37<24:07:27, 43.42s/it]

train:  57%|█████▋    | 2000/3515 [11:35<18:16:27, 43.42s/it]
overall:  50%|█████     | 2001/4000 [11:38<16:55:15, 30.47s/it]

train:  57%|█████▋    | 2001/3515 [11:36<12:48:55, 30.47s/it]
overall:  50%|█████     | 2002/4000 [11:38<11:52:28, 21.40s/it]

train:  57%|█████▋    | 2002/3515 [11:36<8:59:31, 21.40s/it] 
overall:  50%|█████     | 2003/4000 [11:38<8:22:11, 15.09s/it] 

train:  57%|█████▋    | 2003/3515 [11:36<6:20:13, 15.09s/it]
overall:  50%|█████     | 2005/4000 [11:39<4:32:34,  8.20s/it]

train:  57%|█████▋    | 2005/3515 [11:36<3:26:18,  8.20s/it]
overall:  50%|█████     | 2006/4000 [11:39<3:26:34,  6.22s/it]

train:  57%|█████▋    | 2006/3515 [11:37<2:36:19,  6.22s/it]
overall:  50%|█████     | 2007/4000 [11:39<2:34:27,  4.65s/it]

train:  57%|█████▋    | 2007/3515 [11:37<1:56:52,  4.65s/it]
overall:  50%|█████     | 2008/4000 [11:39<1:54:18,  3.44s/it]

train:  57%|█████▋    | 2008/3515 [11:37<1:26:28,  3.44s/it]
overall:  50%|█████     | 2009/4000 [11:39<1:24:06,  2.53s/it]

train:  57%|█████▋    | 2009/3515 [11:37<1:03:37,  2.53s/it]
overall:  50%|█████     | 2010/4000 [11:40<1:02:34,  1.89s/it]

train:  57%|█████▋    | 2010/3515 [11:38<47:19,  1.89s/it]  
overall:  50%|█████     | 2011/4000 [11:40<46:36,  1.41s/it]  

train:  57%|█████▋    | 2011/3515 [11:38<35:14,  1.41s/it]
overall:  50%|█████     | 2012/4000 [11:40<34:54,  1.05s/it]

train:  57%|█████▋    | 2012/3515 [11:38<26:23,  1.05s/it]
overall:  50%|█████     | 2013/4000 [11:40<27:06,  1.22it/s]

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overall:  74%|███████▍  | 2961/4000 [14:57<03:16,  5.29it/s]

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overall:  74%|███████▍  | 2962/4000 [14:57<03:27,  5.01it/s]

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overall:  74%|███████▍  | 2963/4000 [14:57<04:01,  4.30it/s]

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overall:  74%|███████▍  | 2964/4000 [14:58<04:07,  4.18it/s]

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overall:  75%|███████▍  | 2994/4000 [15:04<03:36,  4.64it/s]

train:  85%|████████▌ | 2994/3515 [15:02<01:52,  4.64it/s]
overall:  75%|███████▍  | 2995/4000 [15:04<03:36,  4.64it/s]

train:  85%|████████▌ | 2995/3515 [15:02<01:52,  4.64it/s]
overall:  75%|███████▍  | 2996/4000 [15:04<03:36,  4.64it/s]

train:  85%|████████▌ | 2996/3515 [15:02<01:51,  4.64it/s]
overall:  75%|███████▍  | 2997/4000 [15:04<03:36,  4.63it/s]

train:  85%|████████▌ | 2997/3515 [15:02<01:51,  4.63it/s]
overall:  75%|███████▍  | 2998/4000 [15:05<03:29,  4.79it/s]

train:  85%|████████▌ | 2998/3515 [15:03<01:47,  4.79it/s]
overall:  75%|███████▍  | 2999/4000 [15:05<03:53,  4.28it/s]

train:  85%|████████▌ | 2999/3515 [15:03<02:00,  4.28it/s]dev loss: 2.354268789291382
dev per: 0.5812122788761707
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9604718685150146
train per: 0.5292803101693546
train loss: 1.9589407444000244
train per: 0.5356867496420311
train loss: 1.9833385944366455
train per: 0.527319612708607
train loss: 2.0074656009674072
train per: 0.5308371083427709
train loss: 1.9739925861358643
train per: 0.5237976451806027
train loss: 1.9548841714859009
train per: 0.5199743007273812
train loss: 2.000671625137329
train per: 0.5303360773001243
train loss: 2.0181236267089844
train per: 0.5339068100358423
train loss: 1.9266107082366943
train per: 0.5161612228009541
train loss: 1.949599266052246
train per: 0.5194152798609624
train loss: 1.976247787475586
train per: 0.5261285789566134
train loss: 1.972009301185608
train per: 0.5261064654293289
train loss: 2.0731396675109863
train per: 0.5426379384088965
train loss: 2.019249200820923
train per: 0.5311901006914959
train loss: 1.9486316442489624
train per: 0.5318581560283688
train loss: 2.030020236968994
train per: 0.5338941627434334
train loss: 2.023439884185791
train per: 0.5327727220366317
train loss: 1.9935171604156494
train per: 0.5299698256022094
train loss: 1.9710735082626343
train per: 0.5269354263289333
train loss: 1.9904420375823975
train per: 0.5270106495448802
train loss: 1.9829556941986084
train per: 0.5314515699131084
train loss: 2.035715103149414
train per: 0.5390908662234168
train loss: 2.0361313819885254
train per: 0.5329956126464336
train loss: 1.9760863780975342
train per: 0.5286520259243717
train loss: 1.9736477136611938
train per: 0.5259969982847341
train loss: 1.9491840600967407
train per: 0.5195386961494471
train loss: 1.9255142211914062
train per: 0.5146742851746039
train loss: 1.9557965993881226
train per: 0.522447119765936
train loss: 1.9353692531585693
train per: 0.5221539376517818
train loss: 2.022087574005127
train per: 0.5302413393080545
train loss: 1.9533084630966187
train per: 0.5229574799643811
train loss: 1.959263563156128
train per: 0.5247217990756758
train loss: 1.9544721841812134
train per: 0.5246096481006758
train loss: 1.9664270877838135
train per: 0.5310910047870874
train loss: 1.9983673095703125
train per: 0.5277864992150706
train loss: 1.9745426177978516
train per: 0.5287597198477914
train loss: 2.0152201652526855
train per: 0.5395388977931205
train loss: 1.9475791454315186
train per: 0.5241446308406786
train loss: 1.9733097553253174
train per: 0.5260129401781927
train loss: 1.9517261981964111
train per: 0.5229972738413826
train loss: 1.9378862380981445
train per: 0.523716004574156
train loss: 1.979535460472107
train per: 0.5298546618395509
train loss: 1.9664885997772217
train per: 0.533767725051406
train loss: 2.023200750350952
train per: 0.5303676018140796
train loss: 1.9620637893676758
train per: 0.5250012940628397
train loss: 1.9955012798309326
train per: 0.5246594175728034
train loss: 1.9901859760284424
train per: 0.5313985993832675
train loss: 2.019042491912842
train per: 0.5328338275573262
train loss: 1.9744720458984375
train per: 0.5268233571482669
train loss: 2.040754795074463
train per: 0.5431008975244107
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 447/2703 [00:00<00:00, 4465.29it/s]


word -> phonemes:  33%|███▎      | 894/2703 [00:00<00:00, 4194.78it/s]


word -> phonemes:  50%|█████     | 1353/2703 [00:00<00:00, 4366.34it/s]


word -> phonemes:  67%|██████▋   | 1815/2703 [00:00<00:00, 4463.37it/s]


word -> phonemes:  84%|████████▎ | 2263/2703 [00:00<00:00, 4391.56it/s]


word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4214.33it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4294.78it/s]



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


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dev:   2%|▏         | 64/2703 [00:05<02:23, 18.44it/s]


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dev:   3%|▎         | 68/2703 [00:05<02:40, 16.44it/s]


dev:   3%|▎         | 70/2703 [00:05<02:39, 16.53it/s]


dev:   3%|▎         | 72/2703 [00:05<02:45, 15.86it/s]


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train: 100%|█████████▉| 3513/3515 [19:13<00:00,  5.14it/s]
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train: 100%|██████████| 3515/3515 [19:14<00:00,  5.22it/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 [19:14<00:00,  3.04it/s]
dev loss: 2.3790934085845947
dev per: 0.5884911550468263
train loss: 1.9291118383407593
train per: 0.51971460758543
train loss: 1.949998140335083
train per: 0.5269908847770318
train loss: 1.9352691173553467
train per: 0.5212227414330218
train loss: 1.9375795125961304
train per: 0.5191793941226877
train loss: 1.9678547382354736
train per: 0.5193031457854995
train loss: 1.961462378501892
train per: 0.5291713212145831
train loss: 1.934687614440918
train per: 0.5214073439782401
train loss: 1.9901666641235352
train per: 0.5232583271295118
train loss: 2.0100371837615967
train per: 0.5299902895700023
train loss: 1.9497225284576416
train per: 0.5231325186629262
train loss: 1.9978357553482056
train per: 0.5288929189679334
train loss: 2.0319130420684814
train per: 0.5386681114696945
train loss: 1.9375522136688232
train per: 0.5223298528116744
train loss: 1.9598362445831299
train per: 0.525556307936582
train loss: 1.982301115989685
train per: 0.5292414875870867
train loss: 2.0020461082458496
train per: 0.5313988739714162
train loss: 1.9908678531646729
train per: 0.5248261028738789
train loss: 1.9680343866348267
train per: 0.5246622683003456
train loss: 2.0164966583251953
train per: 0.5391185153943484
train loss: 1.9966106414794922
train per: 0.5335543117969896
train loss: 2.0297534465789795
train per: 0.5440488636988939
train loss: 2.0301730632781982
train per: 0.5321196089110195
train loss: 2.0643410682678223
train per: 0.5380244024736754
train loss: 2.007366895675659
train per: 0.5371387569279493
train loss: 2.016420602798462
train per: 0.5297716053756584
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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word -> phonemes:  23%|██▎       | 824/3515 [00:00<00:00, 4194.29it/s]

word -> phonemes:  36%|███▌      | 1255/3515 [00:00<00:00, 4246.47it/s]

word -> phonemes:  48%|████▊     | 1680/3515 [00:00<00:00, 4030.59it/s]

word -> phonemes:  62%|██████▏   | 2169/3515 [00:00<00:00, 4329.79it/s]

word -> phonemes:  74%|███████▍  | 2605/3515 [00:00<00:00, 4050.67it/s]

word -> phonemes:  87%|████████▋ | 3063/3515 [00:00<00:00, 4210.61it/s]

word -> phonemes: 100%|█████████▉| 3501/3515 [00:00<00:00, 4261.49it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4188.87it/s]


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overall:  89%|████████▉ | 3576/4000 [19:31<01:38,  4.29it/s]

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overall:  99%|█████████▉| 3976/4000 [20:55<00:05,  4.29it/s]

train:  13%|█▎        | 461/3515 [01:36<11:52,  4.29it/s]
overall:  99%|█████████▉| 3977/4000 [20:55<00:04,  5.05it/s]

train:  13%|█▎        | 462/3515 [01:37<10:04,  5.05it/s]
overall:  99%|█████████▉| 3978/4000 [20:55<00:04,  4.96it/s]

train:  13%|█▎        | 463/3515 [01:37<10:15,  4.96it/s]
overall:  99%|█████████▉| 3979/4000 [20:56<00:04,  4.98it/s]

train:  13%|█▎        | 464/3515 [01:37<10:13,  4.98it/s]
overall: 100%|█████████▉| 3980/4000 [20:56<00:04,  4.86it/s]

train:  13%|█▎        | 465/3515 [01:37<10:27,  4.86it/s]
overall: 100%|█████████▉| 3981/4000 [20:56<00:03,  4.80it/s]

train:  13%|█▎        | 466/3515 [01:37<10:35,  4.80it/s]
overall: 100%|█████████▉| 3982/4000 [20:56<00:03,  4.94it/s]

train:  13%|█▎        | 467/3515 [01:38<10:17,  4.94it/s]
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train:  13%|█▎        | 468/3515 [01:38<10:27,  4.86it/s]
overall: 100%|█████████▉| 3984/4000 [20:57<00:03,  4.78it/s]

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train:  14%|█▎        | 482/3515 [01:41<08:45,  5.77it/s]
overall: 100%|█████████▉| 3998/4000 [21:00<00:00,  4.44it/s]

train:  14%|█▎        | 483/3515 [01:41<11:22,  4.44it/s]
overall: 100%|█████████▉| 3999/4000 [21:00<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [01:41<10:51,  4.65it/s]train loss: 1.9860732555389404
train per: 0.5267622037674701
train loss: 1.9501047134399414
train per: 0.5329198334352523
train loss: 1.974959373474121
train per: 0.5314512639055062
train loss: 2.0222673416137695
train per: 0.5303782505910165
train loss: 1.9992172718048096
train per: 0.5362476861830261
train loss: 1.9727106094360352
train per: 0.5268184975687209
train loss: 1.9796972274780273
train per: 0.5234193918531268
train loss: 1.9565658569335938
train per: 0.5241717290315994
train loss: 2.034553050994873
train per: 0.5548196454045241
train loss: 2.0006723403930664
train per: 0.5374567608033456
train loss: 1.9820067882537842
train per: 0.5255719528382916
train loss: 2.021300792694092
train per: 0.533578759482374
train loss: 1.946560263633728
train per: 0.5202772526780088
train loss: 2.003337860107422
train per: 0.5300321073377013
train loss: 2.029954195022583
train per: 0.5375003213945955
train loss: 1.9533567428588867
train per: 0.5261126767715236
train loss: 1.9422738552093506
train per: 0.5259839416777499
train loss: 1.9883521795272827
train per: 0.5270951181252079
train loss: 1.9862191677093506
train per: 0.5312577095771451
train loss: 1.943488359451294
train per: 0.5175137282392803
train loss: 1.9750903844833374
train per: 0.5257936507936508
train loss: 1.9685388803482056
train per: 0.5245312155305537
train loss: 1.9924132823944092
train per: 0.5317795095445771
train loss: 1.9621860980987549
train per: 0.523074304609998
train loss: 1.9675090312957764
train per: 0.5190221429632932
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 416/2703 [00:00<00:00, 4151.68it/s]


word -> phonemes:  33%|███▎      | 897/2703 [00:00<00:00, 4537.71it/s]


word -> phonemes:  50%|████▉     | 1351/2703 [00:00<00:00, 4383.26it/s]


word -> phonemes:  70%|██████▉   | 1891/2703 [00:00<00:00, 4772.65it/s]


word -> phonemes:  88%|████████▊ | 2370/2703 [00:00<00:00, 4533.30it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4503.73it/s]



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overall: 100%|█████████▉| 3999/4000 [23:24<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [04:05<10:51,  4.65it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [23:24<00:00,  4.65it/s]

train:  14%|█▍        | 484/3515 [04:05<10:51,  4.65it/s]
overall: 100%|██████████| 4000/4000 [23:24<00:00, 39.18s/it]

train:  14%|█▍        | 485/3515 [04:05<32:58:40, 39.18s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [04:06<25:36,  1.97it/s]   

overall: 100%|██████████| 4000/4000 [23:24<00:00,  2.85it/s]
dev loss: 2.3662734031677246
dev per: 0.5861498439125911
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt