/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-10-10 19:23:20 | 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] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k_encode {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_test_8x_400k_encode
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:  26%|██▌       | 915/3515 [00:00<00:01, 2222.62it/s]

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word -> phonemes:  77%|███████▋  | 2706/3515 [00:01<00:00, 1924.39it/s]

word -> phonemes:  83%|████████▎ | 2902/3515 [00:01<00:00, 1828.22it/s]

word -> phonemes:  88%|████████▊ | 3088/3515 [00:01<00:00, 1757.09it/s]

word -> phonemes:  94%|█████████▍| 3316/3515 [00:01<00:00, 1896.04it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2051.67it/s]


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train:   4%|▍         | 155/3515 [00:32<11:00,  5.09it/s]
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train:   4%|▍         | 157/3515 [00:32<10:11,  5.49it/s]
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train:   4%|▍         | 158/3515 [00:32<10:29,  5.33it/s]
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train:   5%|▍         | 159/3515 [00:33<12:58,  4.31it/s]
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train:   5%|▍         | 160/3515 [00:33<12:30,  4.47it/s]
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train:   5%|▍         | 162/3515 [00:33<11:52,  4.71it/s]
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train:   5%|▍         | 163/3515 [00:33<11:55,  4.68it/s]
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train:   5%|▍         | 164/3515 [00:34<12:05,  4.62it/s]
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train:   5%|▍         | 165/3515 [00:34<11:58,  4.66it/s]
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train:   5%|▍         | 166/3515 [00:34<11:38,  4.79it/s]
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train:   5%|▍         | 167/3515 [00:34<13:15,  4.21it/s]
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train:   5%|▍         | 168/3515 [00:35<12:56,  4.31it/s]
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train:   5%|▍         | 169/3515 [00:35<12:34,  4.44it/s]
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train:   5%|▍         | 170/3515 [00:35<12:00,  4.64it/s]
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train:   5%|▍         | 175/3515 [00:36<11:48,  4.71it/s]
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train:   5%|▌         | 179/3515 [00:37<11:48,  4.71it/s]
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train:   5%|▌         | 183/3515 [00:38<12:30,  4.44it/s]
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train:   5%|▌         | 184/3515 [00:38<11:00,  5.04it/s]
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train:   5%|▌         | 185/3515 [00:38<10:46,  5.15it/s]
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train:   5%|▌         | 186/3515 [00:38<11:16,  4.92it/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<11:01,  5.03it/s]
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train:   5%|▌         | 189/3515 [00:39<11:12,  4.95it/s]
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train:   5%|▌         | 190/3515 [00:39<11:22,  4.87it/s]
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train:   5%|▌         | 191/3515 [00:39<13:30,  4.10it/s]
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train:   5%|▌         | 192/3515 [00:40<12:46,  4.34it/s]
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train:   5%|▌         | 193/3515 [00:40<12:20,  4.48it/s]
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train:   6%|▌         | 194/3515 [00:40<12:00,  4.61it/s]
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train:   6%|▌         | 195/3515 [00:40<11:08,  4.97it/s]
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train:   6%|▌         | 197/3515 [00:40<09:16,  5.97it/s]
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overall:   9%|▉         | 378/4000 [01:21<10:41,  5.64it/s]

train:  11%|█         | 378/3515 [01:18<09:15,  5.64it/s]
overall:   9%|▉         | 379/4000 [01:21<11:34,  5.22it/s]

train:  11%|█         | 379/3515 [01:18<10:01,  5.22it/s]
overall:  10%|▉         | 380/4000 [01:21<12:03,  5.01it/s]

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overall:  10%|▉         | 381/4000 [01:22<12:01,  5.01it/s]

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overall:  10%|▉         | 382/4000 [01:22<11:57,  5.04it/s]

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overall:  10%|▉         | 383/4000 [01:22<13:38,  4.42it/s]

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overall:  10%|▉         | 384/4000 [01:22<13:21,  4.51it/s]

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overall:  10%|▉         | 385/4000 [01:23<12:55,  4.66it/s]

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overall:  10%|▉         | 386/4000 [01:23<12:31,  4.81it/s]

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overall:  10%|▉         | 387/4000 [01:23<12:04,  4.99it/s]

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overall:  10%|▉         | 388/4000 [01:23<11:58,  5.03it/s]

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overall:  10%|▉         | 389/4000 [01:23<12:02,  5.00it/s]

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overall:  10%|▉         | 390/4000 [01:24<13:36,  4.42it/s]

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overall:  10%|▉         | 391/4000 [01:24<13:11,  4.56it/s]

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overall:  10%|▉         | 392/4000 [01:24<13:29,  4.46it/s]

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overall:  10%|▉         | 393/4000 [01:24<12:54,  4.66it/s]

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overall:  10%|▉         | 394/4000 [01:24<13:06,  4.59it/s]

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overall:  10%|▉         | 395/4000 [01:25<12:46,  4.70it/s]

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overall:  10%|▉         | 396/4000 [01:25<12:25,  4.83it/s]

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overall:  10%|▉         | 397/4000 [01:25<12:26,  4.82it/s]

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overall:  10%|▉         | 398/4000 [01:25<12:31,  4.79it/s]

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overall:  10%|▉         | 399/4000 [01:25<11:40,  5.14it/s]

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overall:  10%|█         | 400/4000 [01:26<11:33,  5.19it/s]

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overall:  10%|█         | 401/4000 [01:26<11:36,  5.16it/s]

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overall:  10%|█         | 402/4000 [01:26<11:53,  5.04it/s]

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overall:  10%|█         | 403/4000 [01:26<11:46,  5.09it/s]

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overall:  10%|█         | 404/4000 [01:26<12:00,  4.99it/s]

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overall:  10%|█         | 405/4000 [01:27<12:06,  4.95it/s]

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overall:  10%|█         | 406/4000 [01:27<12:11,  4.91it/s]

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overall:  10%|█         | 407/4000 [01:27<13:22,  4.48it/s]

train:  12%|█▏        | 407/3515 [01:24<11:34,  4.48it/s]
overall:  10%|█         | 408/4000 [01:27<12:48,  4.67it/s]

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overall:  10%|█         | 409/4000 [01:28<12:28,  4.80it/s]

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overall:  10%|█         | 410/4000 [01:28<12:21,  4.84it/s]

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overall:  10%|█         | 411/4000 [01:28<11:45,  5.09it/s]

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overall:  10%|█         | 412/4000 [01:28<12:03,  4.96it/s]

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overall:  10%|█         | 413/4000 [01:28<11:42,  5.11it/s]

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overall:  10%|█         | 414/4000 [01:29<14:49,  4.03it/s]

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overall:  10%|█         | 415/4000 [01:29<13:25,  4.45it/s]

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overall:  10%|█         | 417/4000 [01:29<11:33,  5.17it/s]

train:  12%|█▏        | 417/3515 [01:26<09:59,  5.17it/s]
overall:  10%|█         | 418/4000 [01:29<11:50,  5.04it/s]

train:  12%|█▏        | 418/3515 [01:26<10:14,  5.04it/s]
overall:  10%|█         | 419/4000 [01:30<11:52,  5.03it/s]

train:  12%|█▏        | 419/3515 [01:27<10:15,  5.03it/s]
overall:  10%|█         | 420/4000 [01:30<12:13,  4.88it/s]

train:  12%|█▏        | 420/3515 [01:27<10:34,  4.88it/s]
overall:  11%|█         | 421/4000 [01:30<12:19,  4.84it/s]

train:  12%|█▏        | 421/3515 [01:27<10:39,  4.84it/s]
overall:  11%|█         | 422/4000 [01:30<12:48,  4.66it/s]

train:  12%|█▏        | 422/3515 [01:27<11:04,  4.66it/s]
overall:  11%|█         | 423/4000 [01:31<14:36,  4.08it/s]

train:  12%|█▏        | 423/3515 [01:28<12:37,  4.08it/s]
overall:  11%|█         | 424/4000 [01:31<12:43,  4.68it/s]

train:  12%|█▏        | 424/3515 [01:28<11:00,  4.68it/s]
overall:  11%|█         | 425/4000 [01:31<12:34,  4.74it/s]

train:  12%|█▏        | 425/3515 [01:28<10:51,  4.74it/s]
overall:  11%|█         | 426/4000 [01:31<12:11,  4.88it/s]

train:  12%|█▏        | 426/3515 [01:28<10:32,  4.88it/s]
overall:  11%|█         | 428/4000 [01:31<10:29,  5.68it/s]

train:  12%|█▏        | 428/3515 [01:28<09:03,  5.68it/s]
overall:  11%|█         | 429/4000 [01:32<10:46,  5.53it/s]

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overall:  11%|█         | 430/4000 [01:32<11:16,  5.27it/s]

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overall:  11%|█         | 431/4000 [01:32<13:33,  4.39it/s]

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overall:  11%|█         | 432/4000 [01:32<13:13,  4.50it/s]

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overall:  11%|█         | 433/4000 [01:33<12:50,  4.63it/s]

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overall:  11%|█         | 434/4000 [01:33<12:40,  4.69it/s]

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overall:  11%|█         | 435/4000 [01:33<12:25,  4.78it/s]

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overall:  11%|█         | 436/4000 [01:33<12:01,  4.94it/s]

train:  12%|█▏        | 436/3515 [01:30<10:22,  4.94it/s]
overall:  11%|█         | 437/4000 [01:33<12:19,  4.82it/s]

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overall:  11%|█         | 438/4000 [01:34<14:47,  4.01it/s]

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overall:  11%|█         | 439/4000 [01:34<13:53,  4.27it/s]

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overall:  11%|█         | 440/4000 [01:34<12:16,  4.84it/s]

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overall:  11%|█         | 441/4000 [01:34<12:08,  4.88it/s]

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overall:  11%|█         | 442/4000 [01:34<11:58,  4.95it/s]

train:  13%|█▎        | 442/3515 [01:31<10:20,  4.95it/s]
overall:  11%|█         | 443/4000 [01:35<11:41,  5.07it/s]

train:  13%|█▎        | 443/3515 [01:32<10:05,  5.07it/s]
overall:  11%|█         | 444/4000 [01:35<11:52,  4.99it/s]

train:  13%|█▎        | 444/3515 [01:32<10:15,  4.99it/s]
overall:  11%|█         | 445/4000 [01:35<11:57,  4.96it/s]

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overall:  11%|█         | 446/4000 [01:35<12:02,  4.92it/s]

train:  13%|█▎        | 446/3515 [01:32<10:23,  4.92it/s]
overall:  11%|█         | 447/4000 [01:36<13:58,  4.24it/s]

train:  13%|█▎        | 447/3515 [01:33<12:04,  4.24it/s]
overall:  11%|█         | 448/4000 [01:36<13:28,  4.39it/s]

train:  13%|█▎        | 448/3515 [01:33<11:38,  4.39it/s]
overall:  11%|█         | 449/4000 [01:36<13:20,  4.43it/s]

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overall:  11%|█▏        | 450/4000 [01:36<12:35,  4.70it/s]

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overall:  11%|█▏        | 451/4000 [01:36<12:14,  4.83it/s]

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overall:  11%|█▏        | 452/4000 [01:37<12:07,  4.88it/s]

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overall:  11%|█▏        | 453/4000 [01:37<12:11,  4.85it/s]

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overall:  11%|█▏        | 454/4000 [01:37<12:12,  4.84it/s]

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overall:  11%|█▏        | 455/4000 [01:37<14:14,  4.15it/s]

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overall:  11%|█▏        | 456/4000 [01:37<13:52,  4.26it/s]

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overall:  11%|█▏        | 457/4000 [01:38<13:05,  4.51it/s]

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overall:  11%|█▏        | 458/4000 [01:38<12:49,  4.60it/s]

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overall:  11%|█▏        | 459/4000 [01:38<12:24,  4.76it/s]

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overall:  12%|█▏        | 460/4000 [01:38<12:41,  4.65it/s]

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overall:  12%|█▏        | 461/4000 [01:39<12:36,  4.68it/s]

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overall:  12%|█▏        | 462/4000 [01:39<14:54,  3.95it/s]

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overall:  12%|█▏        | 463/4000 [01:39<13:49,  4.26it/s]

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overall:  12%|█▏        | 465/4000 [01:39<11:17,  5.22it/s]

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overall:  12%|█▏        | 467/4000 [01:40<10:04,  5.84it/s]

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overall:  12%|█▏        | 468/4000 [01:40<10:37,  5.54it/s]

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overall:  12%|█▏        | 469/4000 [01:40<11:04,  5.32it/s]

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overall:  12%|█▏        | 470/4000 [01:40<11:23,  5.16it/s]

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overall:  12%|█▏        | 471/4000 [01:41<12:52,  4.57it/s]

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overall:  12%|█▏        | 472/4000 [01:41<13:00,  4.52it/s]

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overall:  12%|█▏        | 473/4000 [01:41<12:48,  4.59it/s]

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overall:  12%|█▏        | 474/4000 [01:41<12:43,  4.62it/s]

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overall:  12%|█▏        | 475/4000 [01:41<12:38,  4.65it/s]

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overall:  12%|█▏        | 476/4000 [01:42<12:15,  4.79it/s]

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overall:  12%|█▏        | 477/4000 [01:42<12:17,  4.78it/s]

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overall:  12%|█▏        | 478/4000 [01:42<12:18,  4.77it/s]

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overall:  12%|█▏        | 479/4000 [01:42<13:40,  4.29it/s]

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overall:  12%|█▏        | 480/4000 [01:43<13:11,  4.45it/s]

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overall:  25%|██▍       | 993/4000 [03:29<11:57,  4.19it/s]

train:  28%|██▊       | 993/3515 [03:26<10:02,  4.19it/s]
overall:  25%|██▍       | 994/4000 [03:29<11:16,  4.44it/s]

train:  28%|██▊       | 994/3515 [03:26<09:27,  4.44it/s]
overall:  25%|██▍       | 995/4000 [03:29<11:00,  4.55it/s]

train:  28%|██▊       | 995/3515 [03:26<09:13,  4.55it/s]
overall:  25%|██▍       | 996/4000 [03:30<10:10,  4.92it/s]

train:  28%|██▊       | 996/3515 [03:26<08:31,  4.92it/s]
overall:  25%|██▍       | 997/4000 [03:30<10:16,  4.87it/s]

train:  28%|██▊       | 997/3515 [03:27<08:36,  4.87it/s]
overall:  25%|██▍       | 998/4000 [03:30<10:15,  4.88it/s]

train:  28%|██▊       | 998/3515 [03:27<08:35,  4.88it/s]
overall:  25%|██▍       | 999/4000 [03:30<09:58,  5.01it/s]

train:  28%|██▊       | 999/3515 [03:27<08:21,  5.01it/s]train loss: 4.123986721038818
train per: 0.9796147973534061
train loss: 3.5514349937438965
train per: 0.8774200148333802
train loss: 3.364367961883545
train per: 0.832437764452405
train loss: 3.330639600753784
train per: 0.8398482263362959
train loss: 3.3295071125030518
train per: 0.8358870780517249
train loss: 3.3594043254852295
train per: 0.8413014251142781
train loss: 3.3051795959472656
train per: 0.8428871109376525
train loss: 3.360164165496826
train per: 0.8409960667587967
train loss: 3.287579298019409
train per: 0.8352878205440124
train loss: 3.3061294555664062
train per: 0.8526445601534667
train loss: 3.3277530670166016
train per: 0.8465021984676548
train loss: 3.3267104625701904
train per: 0.8385690219007036
train loss: 3.34478497505188
train per: 0.8413703790911231
train loss: 3.311936140060425
train per: 0.8366889879286018
train loss: 3.2684340476989746
train per: 0.838878293423748
train loss: 3.301504611968994
train per: 0.8445090739879013
train loss: 3.2858986854553223
train per: 0.843405752753978
train loss: 3.3235511779785156
train per: 0.8435358930618865
train loss: 3.2947113513946533
train per: 0.8463297066519763
train loss: 3.278956174850464
train per: 0.8405165903026031
train loss: 3.2629809379577637
train per: 0.8435966361685862
train loss: 3.2918601036071777
train per: 0.8478866872598508
train loss: 3.2727317810058594
train per: 0.837190917475515
train loss: 3.285007953643799
train per: 0.8387414434970578
train loss: 3.2660040855407715
train per: 0.8344999777074323
train loss: 3.2771639823913574
train per: 0.8402324080051646
train loss: 3.2801730632781982
train per: 0.8417537460567823
train loss: 3.2473254203796387
train per: 0.8325473310095004
train loss: 3.2565810680389404
train per: 0.8343093171598871
train loss: 3.257228136062622
train per: 0.8476829065316118
train loss: 3.2801623344421387
train per: 0.8462185075773951
train loss: 3.2671375274658203
train per: 0.8385342673786312
train loss: 3.2851414680480957
train per: 0.8368855237879986
train loss: 3.277029037475586
train per: 0.844914505483083
train loss: 3.2685446739196777
train per: 0.8454451289320176
train loss: 3.298590898513794
train per: 0.8445282357067696
train loss: 3.300910234451294
train per: 0.8404400037526972
train loss: 3.29289174079895
train per: 0.8403470715835141
train loss: 3.2654757499694824
train per: 0.8395586572959158
train loss: 3.317007064819336
train per: 0.8287823223003433
train loss: 3.2859623432159424
train per: 0.8395287265025152
train loss: 3.2983641624450684
train per: 0.8475339996722923
train loss: 3.2754807472229004
train per: 0.841565105837075
train loss: 3.2912070751190186
train per: 0.8407569288294889
train loss: 3.2817726135253906
train per: 0.8361296833606661
train loss: 3.261664628982544
train per: 0.8424554183813443
train loss: 3.3105170726776123
train per: 0.8452171664943123
train loss: 3.2765719890594482
train per: 0.8384762830377149
train loss: 3.266871929168701
train per: 0.8466018965075371
train loss: 3.2545223236083984
train per: 0.8519406082466586
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 334/2703 [00:00<00:00, 3322.73it/s]


word -> phonemes:  25%|██▍       | 667/2703 [00:00<00:00, 2700.96it/s]


word -> phonemes:  37%|███▋      | 995/2703 [00:00<00:00, 2933.52it/s]


word -> phonemes:  48%|████▊     | 1296/2703 [00:00<00:00, 2761.40it/s]


word -> phonemes:  58%|█████▊    | 1577/2703 [00:00<00:00, 2739.59it/s]


word -> phonemes:  70%|██████▉   | 1889/2703 [00:00<00:00, 2858.24it/s]


word -> phonemes:  81%|████████  | 2178/2703 [00:00<00:00, 2847.36it/s]


word -> phonemes:  91%|█████████ | 2465/2703 [00:00<00:00, 2715.49it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2821.93it/s]



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overall:  48%|████▊     | 1925/4000 [08:47<06:45,  5.11it/s]

train:  55%|█████▍    | 1925/3515 [08:44<05:10,  5.11it/s]
overall:  48%|████▊     | 1926/4000 [08:47<06:46,  5.10it/s]

train:  55%|█████▍    | 1926/3515 [08:44<05:11,  5.10it/s]
overall:  48%|████▊     | 1927/4000 [08:48<06:46,  5.10it/s]

train:  55%|█████▍    | 1927/3515 [08:45<05:11,  5.10it/s]
overall:  48%|████▊     | 1929/4000 [08:48<05:57,  5.80it/s]

train:  55%|█████▍    | 1929/3515 [08:45<04:33,  5.80it/s]
overall:  48%|████▊     | 1930/4000 [08:48<06:19,  5.46it/s]

train:  55%|█████▍    | 1930/3515 [08:45<04:50,  5.46it/s]
overall:  48%|████▊     | 1931/4000 [08:48<06:33,  5.26it/s]

train:  55%|█████▍    | 1931/3515 [08:45<05:01,  5.26it/s]
overall:  48%|████▊     | 1932/4000 [08:49<06:44,  5.12it/s]

train:  55%|█████▍    | 1932/3515 [08:45<05:09,  5.12it/s]
overall:  48%|████▊     | 1933/4000 [08:49<06:56,  4.97it/s]

train:  55%|█████▍    | 1933/3515 [08:46<05:18,  4.97it/s]
overall:  48%|████▊     | 1934/4000 [08:49<07:08,  4.82it/s]

train:  55%|█████▌    | 1934/3515 [08:46<05:28,  4.82it/s]
overall:  48%|████▊     | 1935/4000 [08:49<07:17,  4.71it/s]

train:  55%|█████▌    | 1935/3515 [08:46<05:35,  4.72it/s]
overall:  48%|████▊     | 1936/4000 [08:49<06:21,  5.40it/s]

train:  55%|█████▌    | 1936/3515 [08:46<04:52,  5.41it/s]
overall:  48%|████▊     | 1937/4000 [08:49<06:26,  5.33it/s]

train:  55%|█████▌    | 1937/3515 [08:46<04:55,  5.33it/s]
overall:  48%|████▊     | 1938/4000 [08:50<06:39,  5.17it/s]

train:  55%|█████▌    | 1938/3515 [08:47<05:05,  5.17it/s]
overall:  48%|████▊     | 1939/4000 [08:50<09:35,  3.58it/s]

train:  55%|█████▌    | 1939/3515 [08:47<07:19,  3.58it/s]
overall:  48%|████▊     | 1940/4000 [08:50<09:41,  3.54it/s]

train:  55%|█████▌    | 1940/3515 [08:47<07:24,  3.54it/s]
overall:  49%|████▊     | 1941/4000 [08:51<08:39,  3.96it/s]

train:  55%|█████▌    | 1941/3515 [08:48<06:37,  3.96it/s]
overall:  49%|████▊     | 1942/4000 [08:51<08:12,  4.18it/s]

train:  55%|█████▌    | 1942/3515 [08:48<06:16,  4.18it/s]
overall:  49%|████▊     | 1943/4000 [08:51<07:55,  4.32it/s]

train:  55%|█████▌    | 1943/3515 [08:48<06:03,  4.32it/s]
overall:  49%|████▊     | 1944/4000 [08:51<06:36,  5.19it/s]

train:  55%|█████▌    | 1944/3515 [08:48<05:02,  5.19it/s]
overall:  49%|████▊     | 1945/4000 [08:51<06:45,  5.07it/s]

train:  55%|█████▌    | 1945/3515 [08:48<05:09,  5.07it/s]
overall:  49%|████▊     | 1946/4000 [08:52<06:54,  4.95it/s]

train:  55%|█████▌    | 1946/3515 [08:49<05:16,  4.95it/s]
overall:  49%|████▊     | 1948/4000 [08:52<06:03,  5.65it/s]

train:  55%|█████▌    | 1948/3515 [08:49<04:37,  5.65it/s]
overall:  49%|████▊     | 1949/4000 [08:52<06:24,  5.33it/s]

train:  55%|█████▌    | 1949/3515 [08:49<04:53,  5.33it/s]
overall:  49%|████▉     | 1950/4000 [08:52<06:38,  5.14it/s]

train:  55%|█████▌    | 1950/3515 [08:49<05:04,  5.14it/s]
overall:  49%|████▉     | 1951/4000 [08:53<06:44,  5.06it/s]

train:  56%|█████▌    | 1951/3515 [08:50<05:08,  5.06it/s]
overall:  49%|████▉     | 1952/4000 [08:53<06:46,  5.03it/s]

train:  56%|█████▌    | 1952/3515 [08:50<05:10,  5.03it/s]
overall:  49%|████▉     | 1953/4000 [08:53<06:49,  5.00it/s]

train:  56%|█████▌    | 1953/3515 [08:50<05:12,  5.00it/s]
overall:  49%|████▉     | 1954/4000 [08:53<07:03,  4.83it/s]

train:  56%|█████▌    | 1954/3515 [08:50<05:23,  4.83it/s]
overall:  49%|████▉     | 1955/4000 [08:53<06:53,  4.95it/s]

train:  56%|█████▌    | 1955/3515 [08:50<05:15,  4.95it/s]
overall:  49%|████▉     | 1956/4000 [08:54<06:46,  5.03it/s]

train:  56%|█████▌    | 1956/3515 [08:51<05:10,  5.03it/s]
overall:  49%|████▉     | 1957/4000 [08:54<06:55,  4.92it/s]

train:  56%|█████▌    | 1957/3515 [08:51<05:16,  4.92it/s]
overall:  49%|████▉     | 1958/4000 [08:54<06:57,  4.89it/s]

train:  56%|█████▌    | 1958/3515 [08:51<05:18,  4.89it/s]
overall:  49%|████▉     | 1959/4000 [08:54<06:59,  4.87it/s]

train:  56%|█████▌    | 1959/3515 [08:51<05:19,  4.87it/s]
overall:  49%|████▉     | 1960/4000 [08:54<06:57,  4.88it/s]

train:  56%|█████▌    | 1960/3515 [08:51<05:18,  4.88it/s]
overall:  49%|████▉     | 1961/4000 [08:55<06:58,  4.87it/s]

train:  56%|█████▌    | 1961/3515 [08:52<05:19,  4.87it/s]
overall:  49%|████▉     | 1962/4000 [08:55<07:14,  4.69it/s]

train:  56%|█████▌    | 1962/3515 [08:52<05:31,  4.69it/s]
overall:  49%|████▉     | 1963/4000 [08:55<10:13,  3.32it/s]

train:  56%|█████▌    | 1963/3515 [08:52<07:47,  3.32it/s]
overall:  49%|████▉     | 1964/4000 [08:56<09:56,  3.41it/s]

train:  56%|█████▌    | 1964/3515 [08:53<07:34,  3.41it/s]
overall:  49%|████▉     | 1965/4000 [08:56<09:01,  3.76it/s]

train:  56%|█████▌    | 1965/3515 [08:53<06:52,  3.76it/s]
overall:  49%|████▉     | 1966/4000 [08:56<08:20,  4.06it/s]

train:  56%|█████▌    | 1966/3515 [08:53<06:21,  4.06it/s]
overall:  49%|████▉     | 1967/4000 [08:56<07:37,  4.44it/s]

train:  56%|█████▌    | 1967/3515 [08:53<05:48,  4.44it/s]
overall:  49%|████▉     | 1968/4000 [08:56<07:12,  4.70it/s]

train:  56%|█████▌    | 1968/3515 [08:53<05:29,  4.70it/s]
overall:  49%|████▉     | 1969/4000 [08:57<07:22,  4.59it/s]

train:  56%|█████▌    | 1969/3515 [08:54<05:36,  4.59it/s]
overall:  49%|████▉     | 1970/4000 [08:57<07:26,  4.54it/s]

train:  56%|█████▌    | 1970/3515 [08:54<05:40,  4.54it/s]
overall:  49%|████▉     | 1971/4000 [08:57<07:22,  4.58it/s]

train:  56%|█████▌    | 1971/3515 [08:54<05:36,  4.58it/s]
overall:  49%|████▉     | 1972/4000 [08:57<07:18,  4.63it/s]

train:  56%|█████▌    | 1972/3515 [08:54<05:33,  4.63it/s]
overall:  49%|████▉     | 1973/4000 [08:57<07:13,  4.67it/s]

train:  56%|█████▌    | 1973/3515 [08:54<05:29,  4.67it/s]
overall:  49%|████▉     | 1974/4000 [08:58<07:09,  4.72it/s]

train:  56%|█████▌    | 1974/3515 [08:55<05:26,  4.72it/s]
overall:  49%|████▉     | 1975/4000 [08:58<07:09,  4.71it/s]

train:  56%|█████▌    | 1975/3515 [08:55<05:26,  4.71it/s]
overall:  49%|████▉     | 1976/4000 [08:58<06:59,  4.83it/s]

train:  56%|█████▌    | 1976/3515 [08:55<05:18,  4.83it/s]
overall:  49%|████▉     | 1977/4000 [08:58<07:02,  4.79it/s]

train:  56%|█████▌    | 1977/3515 [08:55<05:21,  4.79it/s]
overall:  49%|████▉     | 1978/4000 [08:58<06:50,  4.92it/s]

train:  56%|█████▋    | 1978/3515 [08:55<05:12,  4.92it/s]
overall:  49%|████▉     | 1979/4000 [08:59<06:24,  5.26it/s]

train:  56%|█████▋    | 1979/3515 [08:56<04:52,  5.26it/s]
overall:  50%|████▉     | 1980/4000 [08:59<06:39,  5.06it/s]

train:  56%|█████▋    | 1980/3515 [08:56<05:03,  5.06it/s]
overall:  50%|████▉     | 1981/4000 [08:59<06:07,  5.50it/s]

train:  56%|█████▋    | 1981/3515 [08:56<04:38,  5.50it/s]
overall:  50%|████▉     | 1982/4000 [08:59<06:10,  5.44it/s]

train:  56%|█████▋    | 1982/3515 [08:56<04:41,  5.44it/s]
overall:  50%|████▉     | 1984/4000 [08:59<05:41,  5.91it/s]

train:  56%|█████▋    | 1984/3515 [08:56<04:19,  5.91it/s]
overall:  50%|████▉     | 1985/4000 [09:00<06:00,  5.59it/s]

train:  56%|█████▋    | 1985/3515 [08:57<04:33,  5.59it/s]
overall:  50%|████▉     | 1986/4000 [09:00<05:19,  6.31it/s]

train:  57%|█████▋    | 1986/3515 [08:57<04:02,  6.31it/s]
overall:  50%|████▉     | 1987/4000 [09:00<08:24,  3.99it/s]

train:  57%|█████▋    | 1987/3515 [08:57<06:23,  3.99it/s]
overall:  50%|████▉     | 1988/4000 [09:01<09:05,  3.69it/s]

train:  57%|█████▋    | 1988/3515 [08:58<06:54,  3.69it/s]
overall:  50%|████▉     | 1989/4000 [09:01<08:31,  3.93it/s]

train:  57%|█████▋    | 1989/3515 [08:58<06:27,  3.93it/s]
overall:  50%|████▉     | 1990/4000 [09:01<08:06,  4.13it/s]

train:  57%|█████▋    | 1990/3515 [08:58<06:09,  4.13it/s]
overall:  50%|████▉     | 1991/4000 [09:01<07:51,  4.26it/s]

train:  57%|█████▋    | 1991/3515 [08:58<05:57,  4.26it/s]
overall:  50%|████▉     | 1992/4000 [09:01<06:43,  4.98it/s]

train:  57%|█████▋    | 1992/3515 [08:58<05:05,  4.98it/s]
overall:  50%|████▉     | 1993/4000 [09:02<06:48,  4.92it/s]

train:  57%|█████▋    | 1993/3515 [08:59<05:09,  4.92it/s]
overall:  50%|████▉     | 1994/4000 [09:02<06:45,  4.95it/s]

train:  57%|█████▋    | 1994/3515 [08:59<05:07,  4.95it/s]
overall:  50%|████▉     | 1995/4000 [09:02<06:50,  4.89it/s]

train:  57%|█████▋    | 1995/3515 [08:59<05:11,  4.89it/s]
overall:  50%|████▉     | 1996/4000 [09:02<06:45,  4.94it/s]

train:  57%|█████▋    | 1996/3515 [08:59<05:07,  4.94it/s]
overall:  50%|████▉     | 1997/4000 [09:02<06:50,  4.88it/s]

train:  57%|█████▋    | 1997/3515 [08:59<05:10,  4.88it/s]
overall:  50%|████▉     | 1998/4000 [09:03<06:48,  4.90it/s]

train:  57%|█████▋    | 1998/3515 [09:00<05:09,  4.90it/s]
overall:  50%|████▉     | 1999/4000 [09:03<06:45,  4.94it/s]

train:  57%|█████▋    | 1999/3515 [09:00<05:06,  4.94it/s]dev loss: 3.3526766300201416
dev per: 0.8670759625390219
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.2572948932647705
train per: 0.8430797989238892
train loss: 3.2726149559020996
train per: 0.8488686360779384
train loss: 3.2558753490448
train per: 0.8398686850264454
train loss: 3.2508544921875
train per: 0.8445565527621384
train loss: 3.2834670543670654
train per: 0.8470818915801615
train loss: 3.2659363746643066
train per: 0.836401536443695
train loss: 3.262765884399414
train per: 0.8499093029282198
train loss: 3.2489094734191895
train per: 0.8465615110262722
train loss: 3.2715251445770264
train per: 0.8439778847528716
train loss: 3.275388240814209
train per: 0.8409837775807208
train loss: 3.2720272541046143
train per: 0.8326221832691376
train loss: 3.248542308807373
train per: 0.8430510603352495
train loss: 3.2679882049560547
train per: 0.8414831688180208
train loss: 3.255228042602539
train per: 0.8525022192632046
train loss: 3.239847183227539
train per: 0.8454645911405785
train loss: 3.259462356567383
train per: 0.8393561583791944
train loss: 3.2562339305877686
train per: 0.839244682061199
train loss: 3.2672195434570312
train per: 0.8511577242130548
train loss: 3.2567825317382812
train per: 0.8492077898503747
train loss: 3.2641329765319824
train per: 0.841830969676006
train loss: 3.247497081756592
train per: 0.8441156988297638
train loss: 3.2563068866729736
train per: 0.8470631334717303
train loss: 3.245708465576172
train per: 0.8413455171500464
train loss: 3.265214204788208
train per: 0.8410127303819115
train loss: 3.2826085090637207
train per: 0.8455090984184058
train loss: 3.269470691680908
train per: 0.8521479439467035
train loss: 3.300410032272339
train per: 0.8543366657660092
train loss: 3.2708232402801514
train per: 0.8406009700697977
train loss: 3.278646945953369
train per: 0.8301652989174908
train loss: 3.255706310272217
train per: 0.8416270652254204
train loss: 3.2574024200439453
train per: 0.8472745927920995
train loss: 3.2954535484313965
train per: 0.8414192261861336
train loss: 3.2931721210479736
train per: 0.8339944649446495
train loss: 3.2934963703155518
train per: 0.8433091392353302
train loss: 3.2680671215057373
train per: 0.8404576283459245
train loss: 3.3031697273254395
train per: 0.8477270670568007
train loss: 3.2957427501678467
train per: 0.8579050753875558
train loss: 3.2680115699768066
train per: 0.8456708936149093
train loss: 3.267056941986084
train per: 0.8455758235774571
train loss: 3.2844574451446533
train per: 0.8393187280458495
train loss: 3.2574310302734375
train per: 0.8385109922222722
train loss: 3.2781882286071777
train per: 0.8423340019544309
train loss: 3.278573513031006
train per: 0.843855805616411
train loss: 3.253613233566284
train per: 0.8444679564691656
train loss: 3.2452101707458496
train per: 0.8453699189822875
train loss: 3.2607204914093018
train per: 0.8455112586682374
train loss: 3.2514374256134033
train per: 0.8398464586428925
train loss: 3.2573025226593018
train per: 0.8436471515320076
train loss: 3.235644578933716
train per: 0.8465516419617749
train loss: 3.245026111602783
train per: 0.8468110855621445
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▎        | 365/2703 [00:00<00:00, 3633.40it/s]


word -> phonemes:  27%|██▋       | 729/2703 [00:00<00:00, 2940.05it/s]


word -> phonemes:  38%|███▊      | 1034/2703 [00:00<00:00, 2981.22it/s]


word -> phonemes:  51%|█████     | 1373/2703 [00:00<00:00, 3130.56it/s]


word -> phonemes:  63%|██████▎   | 1691/2703 [00:00<00:00, 1412.78it/s]


word -> phonemes:  76%|███████▌  | 2048/2703 [00:00<00:00, 1801.69it/s]


word -> phonemes:  88%|████████▊ | 2384/2703 [00:01<00:00, 2120.53it/s]


word -> phonemes:  99%|█████████▉| 2677/2703 [00:01<00:00, 2303.49it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2239.27it/s]



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


dev:   0%|          | 1/2703 [00:00<44:35,  1.01it/s]


dev:   0%|          | 3/2703 [00:01<14:23,  3.13it/s]


dev:   0%|          | 5/2703 [00:01<08:28,  5.30it/s]


dev:   0%|          | 7/2703 [00:01<06:07,  7.33it/s]


dev:   0%|          | 9/2703 [00:01<04:59,  8.99it/s]


dev:   0%|          | 11/2703 [00:01<04:05, 10.96it/s]


dev:   0%|          | 13/2703 [00:01<03:42, 12.08it/s]


dev:   1%|          | 15/2703 [00:01<03:37, 12.36it/s]


dev:   1%|          | 17/2703 [00:02<03:17, 13.61it/s]


dev:   1%|          | 19/2703 [00:02<03:17, 13.62it/s]


dev:   1%|          | 21/2703 [00:02<03:02, 14.72it/s]


dev:   1%|          | 23/2703 [00:02<03:00, 14.81it/s]


dev:   1%|          | 25/2703 [00:02<02:58, 15.04it/s]


dev:   1%|          | 27/2703 [00:02<02:54, 15.29it/s]


dev:   1%|          | 29/2703 [00:02<03:01, 14.72it/s]


dev:   1%|          | 31/2703 [00:02<02:53, 15.40it/s]


dev:   1%|          | 33/2703 [00:03<02:51, 15.61it/s]


dev:   1%|▏         | 35/2703 [00:03<02:40, 16.64it/s]


dev:   1%|▏         | 37/2703 [00:03<02:38, 16.83it/s]


dev:   1%|▏         | 39/2703 [00:03<02:40, 16.60it/s]


dev:   2%|▏         | 41/2703 [00:03<02:37, 16.95it/s]


dev:   2%|▏         | 43/2703 [00:03<02:39, 16.70it/s]


dev:   2%|▏         | 45/2703 [00:03<02:48, 15.78it/s]


dev:   2%|▏         | 48/2703 [00:03<02:33, 17.26it/s]


dev:   2%|▏         | 50/2703 [00:04<02:38, 16.71it/s]


dev:   2%|▏         | 52/2703 [00:04<02:33, 17.31it/s]


dev:   2%|▏         | 54/2703 [00:04<02:30, 17.65it/s]


dev:   2%|▏         | 56/2703 [00:04<02:24, 18.27it/s]


dev:   2%|▏         | 59/2703 [00:04<02:20, 18.78it/s]


dev:   2%|▏         | 61/2703 [00:04<02:25, 18.21it/s]


dev:   2%|▏         | 63/2703 [00:04<02:23, 18.38it/s]


dev:   2%|▏         | 65/2703 [00:04<02:28, 17.72it/s]


dev:   2%|▏         | 67/2703 [00:05<02:36, 16.89it/s]


dev:   3%|▎         | 69/2703 [00:05<02:32, 17.28it/s]


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overall:  50%|████▉     | 1999/4000 [11:14<06:45,  4.94it/s]

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overall:  50%|████▉     | 1999/4000 [11:14<06:45,  4.94it/s]

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overall:  50%|█████     | 2001/4000 [11:15<15:28:50, 27.88s/it]

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overall:  50%|█████     | 2002/4000 [11:15<10:51:55, 19.58s/it]

train:  57%|█████▋    | 2002/3515 [11:12<8:13:40, 19.58s/it] 
overall:  50%|█████     | 2003/4000 [11:15<7:37:58, 13.76s/it] 

train:  57%|█████▋    | 2003/3515 [11:12<5:46:45, 13.76s/it]
overall:  50%|█████     | 2004/4000 [11:16<5:21:33,  9.67s/it]

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train:  57%|█████▋    | 2005/3515 [11:13<2:51:50,  6.83s/it]
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train:  57%|█████▋    | 2006/3515 [11:13<2:01:48,  4.84s/it]
overall:  50%|█████     | 2007/4000 [11:16<1:54:39,  3.45s/it]

train:  57%|█████▋    | 2007/3515 [11:13<1:26:45,  3.45s/it]
overall:  50%|█████     | 2008/4000 [11:16<1:22:24,  2.48s/it]

train:  57%|█████▋    | 2008/3515 [11:13<1:02:20,  2.48s/it]
overall:  50%|█████     | 2009/4000 [11:17<59:35,  1.80s/it]  

train:  57%|█████▋    | 2009/3515 [11:14<45:04,  1.80s/it]  
overall:  50%|█████     | 2010/4000 [11:17<43:40,  1.32s/it]

train:  57%|█████▋    | 2010/3515 [11:14<33:02,  1.32s/it]
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train:  57%|█████▋    | 2011/3515 [11:14<26:56,  1.08s/it]
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overall:  74%|███████▍  | 2960/4000 [14:35<04:25,  3.92it/s]

train:  84%|████████▍ | 2960/3515 [14:32<02:21,  3.91it/s]
overall:  74%|███████▍  | 2961/4000 [14:35<03:45,  4.60it/s]

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overall:  74%|███████▍  | 2962/4000 [14:35<03:44,  4.63it/s]

train:  84%|████████▍ | 2962/3515 [14:32<01:59,  4.63it/s]
overall:  74%|███████▍  | 2963/4000 [14:36<03:51,  4.48it/s]

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train:  85%|████████▌ | 2994/3515 [14:39<01:45,  4.94it/s]
overall:  75%|███████▍  | 2995/4000 [14:42<03:26,  4.87it/s]

train:  85%|████████▌ | 2995/3515 [14:39<01:46,  4.87it/s]
overall:  75%|███████▍  | 2996/4000 [14:42<03:28,  4.82it/s]

train:  85%|████████▌ | 2996/3515 [14:39<01:47,  4.82it/s]
overall:  75%|███████▍  | 2997/4000 [14:43<03:58,  4.20it/s]

train:  85%|████████▌ | 2997/3515 [14:40<02:03,  4.20it/s]
overall:  75%|███████▍  | 2998/4000 [14:43<03:45,  4.44it/s]

train:  85%|████████▌ | 2998/3515 [14:40<01:56,  4.44it/s]
overall:  75%|███████▍  | 2999/4000 [14:43<03:41,  4.51it/s]

train:  85%|████████▌ | 2999/3515 [14:40<01:54,  4.51it/s]dev loss: 3.3635506629943848
dev per: 0.8643652445369406
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.258012294769287
train per: 0.8535580625185105
train loss: 3.2544403076171875
train per: 0.8520762198480009
train loss: 3.262824296951294
train per: 0.8457889359217633
train loss: 3.2365593910217285
train per: 0.8450122687806719
train loss: 3.241955280303955
train per: 0.8476102574336459
train loss: 3.2523581981658936
train per: 0.8405727266469333
train loss: 3.256636142730713
train per: 0.8457749947231408
train loss: 3.264246702194214
train per: 0.8470489844683393
train loss: 3.219844102859497
train per: 0.8431825926106217
train loss: 3.2470810413360596
train per: 0.8473204294931315
train loss: 3.247440814971924
train per: 0.843535921306868
train loss: 3.2712466716766357
train per: 0.8473128696716297
train loss: 3.305544376373291
train per: 0.8410233105218136
train loss: 3.2711544036865234
train per: 0.8404464394031299
train loss: 3.2502827644348145
train per: 0.849418439716312
train loss: 3.2782790660858154
train per: 0.8413470196290294
train loss: 3.269324779510498
train per: 0.8405252851054026
train loss: 3.2864201068878174
train per: 0.8403314069452258
train loss: 3.256920576095581
train per: 0.8378404090855036
train loss: 3.2637717723846436
train per: 0.8386581057734458
train loss: 3.2605385780334473
train per: 0.8479929633775788
train loss: 3.2717087268829346
train per: 0.8475267600320648
train loss: 3.2762577533721924
train per: 0.8393640598851146
train loss: 3.2908947467803955
train per: 0.8337296591597892
train loss: 3.28241229057312
train per: 0.8455188679245284
train loss: 3.245682954788208
train per: 0.8394014487228364
train loss: 3.2393393516540527
train per: 0.8483932661204637
train loss: 3.243393659591675
train per: 0.8474986809918941
train loss: 3.2554047107696533
train per: 0.8481934876344353
train loss: 3.283520460128784
train per: 0.8406614653231126
train loss: 3.2638931274414062
train per: 0.8473953695458593
train loss: 3.2650489807128906
train per: 0.8441300250445379
train loss: 3.2601828575134277
train per: 0.8447215101374971
train loss: 3.2592480182647705
train per: 0.8494699115266047
train loss: 3.2596428394317627
train per: 0.8413657770800628
train loss: 3.2661499977111816
train per: 0.8467710803507418
train loss: 3.2645468711853027
train per: 0.8393046480088768
train loss: 3.2347354888916016
train per: 0.8407259975357786
train loss: 3.2624077796936035
train per: 0.8443201103097158
train loss: 3.2530384063720703
train per: 0.8439086611810019
train loss: 3.255347490310669
train per: 0.8515388057475265
train loss: 3.2549500465393066
train per: 0.8458208720289627
train loss: 3.2324554920196533
train per: 0.840254225972708
train loss: 3.2846577167510986
train per: 0.8309897673146608
train loss: 3.254072666168213
train per: 0.8450747968321342
train loss: 3.2553458213806152
train per: 0.840694913135858
train loss: 3.277174472808838
train per: 0.8445200149860227
train loss: 3.2659523487091064
train per: 0.8353441836249632
train loss: 3.283914089202881
train per: 0.846684001918659
train loss: 3.279176712036133
train per: 0.8451030673636454
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 317/2703 [00:00<00:00, 3166.26it/s]


word -> phonemes:  23%|██▎       | 634/2703 [00:00<00:00, 2850.25it/s]


word -> phonemes:  36%|███▌      | 966/2703 [00:00<00:00, 3048.75it/s]


word -> phonemes:  49%|████▊     | 1311/2703 [00:00<00:00, 3199.33it/s]


word -> phonemes:  60%|██████    | 1633/2703 [00:00<00:00, 2957.28it/s]


word -> phonemes:  73%|███████▎  | 1967/2703 [00:00<00:00, 3077.39it/s]


word -> phonemes:  86%|████████▌ | 2325/2703 [00:00<00:00, 3232.89it/s]


word -> phonemes:  98%|█████████▊| 2652/2703 [00:00<00:00, 2942.46it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3027.08it/s]



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


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dev:   2%|▏         | 57/2703 [00:04<02:29, 17.74it/s]


dev:   2%|▏         | 59/2703 [00:04<02:28, 17.76it/s]


dev:   2%|▏         | 61/2703 [00:04<02:31, 17.50it/s]


dev:   2%|▏         | 64/2703 [00:04<02:22, 18.46it/s]


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overall:  75%|███████▍  | 2999/4000 [16:55<03:41,  4.51it/s]

train:  85%|████████▌ | 2999/3515 [16:52<01:54,  4.51it/s]
                                                            

                                                          

overall:  75%|███████▍  | 2999/4000 [16:55<03:41,  4.51it/s]

train:  85%|████████▌ | 2999/3515 [16:52<01:54,  4.51it/s]
overall:  75%|███████▌  | 3000/4000 [16:55<11:03:49, 39.83s/it]

train:  85%|████████▌ | 3000/3515 [16:52<5:41:52, 39.83s/it]
overall:  75%|███████▌  | 3001/4000 [16:56<7:45:18, 27.95s/it] 

train:  85%|████████▌ | 3001/3515 [16:53<3:59:24, 27.95s/it]
overall:  75%|███████▌  | 3002/4000 [16:56<5:26:39, 19.64s/it]

train:  85%|████████▌ | 3002/3515 [16:53<2:47:54, 19.64s/it]
overall:  75%|███████▌  | 3003/4000 [16:56<3:49:25, 13.81s/it]

train:  85%|████████▌ | 3003/3515 [16:53<1:57:49, 13.81s/it]
overall:  75%|███████▌  | 3004/4000 [16:56<2:41:19,  9.72s/it]

train:  85%|████████▌ | 3004/3515 [16:53<1:22:46,  9.72s/it]
overall:  75%|███████▌  | 3005/4000 [16:57<1:53:51,  6.87s/it]

train:  85%|████████▌ | 3005/3515 [16:54<58:21,  6.87s/it]  
overall:  75%|███████▌  | 3006/4000 [16:57<1:20:38,  4.87s/it]

train:  86%|████████▌ | 3006/3515 [16:54<41:17,  4.87s/it]
overall:  75%|███████▌  | 3007/4000 [16:57<57:29,  3.47s/it]  

train:  86%|████████▌ | 3007/3515 [16:54<29:24,  3.47s/it]
overall:  75%|███████▌  | 3008/4000 [16:57<42:04,  2.54s/it]

train:  86%|████████▌ | 3008/3515 [16:54<21:30,  2.54s/it]
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overall:  88%|████████▊ | 3515/4000 [18:43<01:35,  5.10it/s]

train: 100%|██████████| 3515/3515 [18:40<00:00,  5.10it/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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403-128339-0009 Failed!!!

train: 100%|██████████| 3515/3515 [18:40<00:00,  3.14it/s]
dev loss: 3.4061923027038574
dev per: 0.8071488033298647
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.2388806343078613
train per: 0.8396294905495055
train loss: 3.2583365440368652
train per: 0.8518912723104634
train loss: 3.2243175506591797
train per: 0.8445531542056075
train loss: 3.2338759899139404
train per: 0.8453803115076365
train loss: 3.2516250610351562
train per: 0.840391033682865
train loss: 3.242481231689453
train per: 0.8396212044277445
train loss: 3.2538180351257324
train per: 0.8473278597693044
train loss: 3.264345169067383
train per: 0.8474340193559232
train loss: 3.2676310539245605
train per: 0.8410975275751313
train loss: 3.2414486408233643
train per: 0.8338880699919167
train loss: 3.2572109699249268
train per: 0.8485697799027285
train loss: 3.2827765941619873
train per: 0.8371063108053992
train loss: 3.2546188831329346
train per: 0.8470751037866399
train loss: 3.2374281883239746
train per: 0.8376958460784085
train loss: 3.2657318115234375
train per: 0.8422382494357766
train loss: 3.259514570236206
train per: 0.8376376193841034
train loss: 3.2570157051086426
train per: 0.8381612667032766
train loss: 3.265986204147339
train per: 0.8499057492931197
train loss: 3.2574715614318848
train per: 0.8447912273302404
train loss: 3.2656338214874268
train per: 0.8405423028853991
train loss: 3.276381731033325
train per: 0.8358829032080559
train loss: 3.26086688041687
train per: 0.8468580616717238
train loss: 3.304668426513672
train per: 0.8364413457176285
train loss: 3.270648956298828
train per: 0.8410035629453682
train loss: 3.268650531768799
train per: 0.8349748458867711
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   8%|▊         | 286/3515 [00:00<00:01, 2855.82it/s]

word -> phonemes:  16%|█▋        | 572/3515 [00:00<00:01, 2471.45it/s]

word -> phonemes:  25%|██▍       | 868/3515 [00:00<00:00, 2675.52it/s]

word -> phonemes:  32%|███▏      | 1140/3515 [00:00<00:00, 2674.29it/s]

word -> phonemes:  41%|████      | 1431/3515 [00:00<00:00, 2755.32it/s]

word -> phonemes:  49%|████▊     | 1709/3515 [00:00<00:00, 2635.50it/s]

word -> phonemes:  58%|█████▊    | 2033/3515 [00:00<00:00, 2821.89it/s]

word -> phonemes:  66%|██████▌   | 2318/3515 [00:00<00:00, 2690.79it/s]

word -> phonemes:  74%|███████▎  | 2590/3515 [00:00<00:00, 2681.64it/s]

word -> phonemes:  82%|████████▏ | 2871/3515 [00:01<00:00, 2718.22it/s]

word -> phonemes:  89%|████████▉ | 3145/3515 [00:01<00:00, 2528.15it/s]

word -> phonemes:  98%|█████████▊| 3444/3515 [00:01<00:00, 2656.63it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2673.79it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:47<11:31,  1.43s/it]

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train:   0%|          | 2/3515 [00:01<42:36,  1.37it/s]  
overall:  88%|████████▊ | 3518/4000 [18:47<06:20,  1.27it/s]

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overall:  88%|████████▊ | 3519/4000 [18:48<05:07,  1.56it/s]

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overall:  88%|████████▊ | 3520/4000 [18:48<04:03,  1.97it/s]

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overall:  88%|████████▊ | 3521/4000 [18:48<03:14,  2.47it/s]

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overall:  88%|████████▊ | 3524/4000 [18:48<02:12,  3.58it/s]

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overall:  88%|████████▊ | 3527/4000 [18:49<01:39,  4.77it/s]

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overall:  88%|████████▊ | 3528/4000 [18:49<01:41,  4.63it/s]

train:   0%|          | 13/3515 [00:03<11:33,  5.05it/s]
overall:  88%|████████▊ | 3529/4000 [18:49<01:41,  4.63it/s]

train:   0%|          | 14/3515 [00:04<11:49,  4.94it/s]
overall:  88%|████████▊ | 3530/4000 [18:50<01:36,  4.86it/s]

train:   0%|          | 15/3515 [00:04<11:25,  5.11it/s]
overall:  88%|████████▊ | 3531/4000 [18:50<01:44,  4.50it/s]

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overall:  88%|████████▊ | 3532/4000 [18:50<01:42,  4.58it/s]

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overall:  88%|████████▊ | 3533/4000 [18:50<01:36,  4.86it/s]

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overall:  88%|████████▊ | 3534/4000 [18:50<01:37,  4.79it/s]

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overall:  88%|████████▊ | 3535/4000 [18:51<01:39,  4.65it/s]

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overall:  88%|████████▊ | 3536/4000 [18:51<01:38,  4.72it/s]

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overall:  88%|████████▊ | 3538/4000 [18:51<01:24,  5.48it/s]

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overall:  88%|████████▊ | 3539/4000 [18:51<01:28,  5.21it/s]

train:   1%|          | 24/3515 [00:06<11:08,  5.22it/s]
overall:  88%|████████▊ | 3540/4000 [18:52<01:46,  4.31it/s]

train:   1%|          | 25/3515 [00:06<13:27,  4.32it/s]
overall:  89%|████████▊ | 3541/4000 [18:52<01:43,  4.43it/s]

train:   1%|          | 26/3515 [00:06<13:06,  4.44it/s]
overall:  89%|████████▊ | 3542/4000 [18:52<01:40,  4.56it/s]

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overall:  89%|████████▊ | 3543/4000 [18:52<01:29,  5.10it/s]

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overall:  89%|████████▊ | 3544/4000 [18:53<01:33,  4.89it/s]

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overall:  89%|████████▊ | 3546/4000 [18:53<01:21,  5.54it/s]

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overall:  89%|████████▊ | 3547/4000 [18:53<01:27,  5.20it/s]

train:   1%|          | 32/3515 [00:07<11:10,  5.20it/s]
overall:  89%|████████▊ | 3548/4000 [18:53<01:29,  5.04it/s]

train:   1%|          | 33/3515 [00:07<11:30,  5.04it/s]
overall:  89%|████████▊ | 3549/4000 [18:53<01:30,  4.97it/s]

train:   1%|          | 34/3515 [00:08<11:39,  4.98it/s]
overall:  89%|████████▉ | 3550/4000 [18:54<01:27,  5.13it/s]

train:   1%|          | 35/3515 [00:08<11:17,  5.13it/s]
overall:  89%|████████▉ | 3551/4000 [18:54<01:29,  4.99it/s]

train:   1%|          | 36/3515 [00:08<11:36,  5.00it/s]
overall:  89%|████████▉ | 3552/4000 [18:54<01:48,  4.14it/s]

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overall:  89%|████████▉ | 3553/4000 [18:54<01:44,  4.28it/s]

train:   1%|          | 38/3515 [00:09<13:32,  4.28it/s]
overall:  89%|████████▉ | 3554/4000 [18:55<01:40,  4.44it/s]

train:   1%|          | 39/3515 [00:09<13:02,  4.44it/s]
overall:  89%|████████▉ | 3555/4000 [18:55<01:25,  5.18it/s]

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overall:  89%|████████▉ | 3556/4000 [18:55<01:25,  5.17it/s]

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overall:  89%|████████▉ | 3570/4000 [18:58<01:21,  5.25it/s]

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overall:  89%|████████▉ | 3578/4000 [19:00<01:36,  4.39it/s]

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overall:  90%|████████▉ | 3583/4000 [19:01<01:33,  4.48it/s]

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overall:  90%|████████▉ | 3584/4000 [19:01<01:18,  5.27it/s]

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overall:  90%|████████▉ | 3586/4000 [19:01<01:07,  6.10it/s]

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overall:  90%|████████▉ | 3587/4000 [19:01<01:11,  5.81it/s]

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overall:  90%|████████▉ | 3588/4000 [19:02<01:30,  4.57it/s]

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overall:  90%|████████▉ | 3589/4000 [19:02<01:29,  4.57it/s]

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overall:  90%|████████▉ | 3590/4000 [19:02<01:28,  4.65it/s]

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overall:  90%|████████▉ | 3591/4000 [19:02<01:29,  4.56it/s]

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overall:  90%|████████▉ | 3592/4000 [19:02<01:25,  4.80it/s]

train:   2%|▏         | 77/3515 [00:17<11:56,  4.80it/s]
overall:  90%|████████▉ | 3593/4000 [19:03<01:25,  4.79it/s]

train:   2%|▏         | 78/3515 [00:17<11:58,  4.79it/s]
overall:  90%|████████▉ | 3594/4000 [19:03<01:22,  4.90it/s]

train:   2%|▏         | 79/3515 [00:17<11:41,  4.90it/s]
overall:  90%|████████▉ | 3595/4000 [19:03<01:19,  5.11it/s]

train:   2%|▏         | 80/3515 [00:17<11:11,  5.11it/s]
overall:  90%|████████▉ | 3596/4000 [19:03<01:18,  5.14it/s]

train:   2%|▏         | 81/3515 [00:17<11:07,  5.14it/s]
overall:  90%|████████▉ | 3597/4000 [19:03<01:24,  4.80it/s]

train:   2%|▏         | 82/3515 [00:18<11:55,  4.80it/s]
overall:  90%|████████▉ | 3598/4000 [19:04<01:22,  4.86it/s]

train:   2%|▏         | 83/3515 [00:18<11:46,  4.86it/s]
overall:  90%|████████▉ | 3599/4000 [19:04<01:18,  5.14it/s]

train:   2%|▏         | 84/3515 [00:18<11:07,  5.14it/s]
overall:  90%|█████████ | 3600/4000 [19:04<01:36,  4.14it/s]

train:   2%|▏         | 85/3515 [00:18<13:48,  4.14it/s]
overall:  90%|█████████ | 3601/4000 [19:04<01:32,  4.30it/s]

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overall:  90%|█████████ | 3602/4000 [19:05<01:28,  4.50it/s]

train:   2%|▏         | 87/3515 [00:19<12:41,  4.50it/s]
overall:  90%|█████████ | 3603/4000 [19:05<01:32,  4.29it/s]

train:   3%|▎         | 88/3515 [00:19<13:19,  4.29it/s]
overall:  90%|█████████ | 3604/4000 [19:05<01:28,  4.45it/s]

train:   3%|▎         | 89/3515 [00:19<12:49,  4.45it/s]
overall:  90%|█████████ | 3606/4000 [19:05<01:09,  5.69it/s]

train:   3%|▎         | 91/3515 [00:19<10:01,  5.69it/s]
overall:  90%|█████████ | 3607/4000 [19:06<01:12,  5.40it/s]

train:   3%|▎         | 92/3515 [00:20<10:34,  5.40it/s]
overall:  90%|█████████ | 3608/4000 [19:06<01:10,  5.53it/s]

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overall:  90%|█████████ | 3609/4000 [19:06<01:11,  5.44it/s]

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overall:  90%|█████████ | 3610/4000 [19:06<01:13,  5.32it/s]

train:   3%|▎         | 95/3515 [00:20<10:43,  5.32it/s]
overall:  90%|█████████ | 3611/4000 [19:06<01:16,  5.10it/s]

train:   3%|▎         | 96/3515 [00:20<11:10,  5.10it/s]
overall:  90%|█████████ | 3612/4000 [19:07<01:31,  4.22it/s]

train:   3%|▎         | 97/3515 [00:21<13:29,  4.22it/s]
overall:  90%|█████████ | 3613/4000 [19:07<01:26,  4.47it/s]

train:   3%|▎         | 98/3515 [00:21<12:44,  4.47it/s]
overall:  90%|█████████ | 3614/4000 [19:07<01:23,  4.61it/s]

train:   3%|▎         | 99/3515 [00:21<12:20,  4.61it/s]
overall:  90%|█████████ | 3615/4000 [19:07<01:29,  4.29it/s]

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overall:  90%|█████████ | 3616/4000 [19:07<01:27,  4.41it/s]

train:   3%|▎         | 101/3515 [00:22<12:54,  4.41it/s]
overall:  90%|█████████ | 3617/4000 [19:08<01:24,  4.56it/s]

train:   3%|▎         | 102/3515 [00:22<12:28,  4.56it/s]
overall:  90%|█████████ | 3618/4000 [19:08<01:26,  4.43it/s]

train:   3%|▎         | 103/3515 [00:22<12:50,  4.43it/s]
overall:  90%|█████████ | 3619/4000 [19:08<01:27,  4.37it/s]

train:   3%|▎         | 104/3515 [00:22<13:00,  4.37it/s]
overall:  90%|█████████ | 3620/4000 [19:08<01:25,  4.42it/s]

train:   3%|▎         | 105/3515 [00:23<12:50,  4.42it/s]
overall:  91%|█████████ | 3621/4000 [19:09<01:24,  4.49it/s]

train:   3%|▎         | 106/3515 [00:23<12:38,  4.49it/s]
overall:  91%|█████████ | 3622/4000 [19:09<01:21,  4.65it/s]

train:   3%|▎         | 107/3515 [00:23<12:12,  4.65it/s]
overall:  91%|█████████ | 3623/4000 [19:09<01:19,  4.75it/s]

train:   3%|▎         | 108/3515 [00:23<11:56,  4.75it/s]
overall:  91%|█████████ | 3624/4000 [19:09<01:34,  3.99it/s]

train:   3%|▎         | 109/3515 [00:24<14:14,  3.99it/s]
overall:  91%|█████████ | 3625/4000 [19:10<01:29,  4.17it/s]

train:   3%|▎         | 110/3515 [00:24<13:36,  4.17it/s]
overall:  91%|█████████ | 3626/4000 [19:10<01:24,  4.45it/s]

train:   3%|▎         | 111/3515 [00:24<12:45,  4.45it/s]
overall:  91%|█████████ | 3627/4000 [19:10<01:27,  4.24it/s]

train:   3%|▎         | 112/3515 [00:24<13:22,  4.24it/s]
overall:  91%|█████████ | 3629/4000 [19:10<01:12,  5.12it/s]

train:   3%|▎         | 114/3515 [00:24<11:03,  5.12it/s]
overall:  91%|█████████ | 3630/4000 [19:11<01:13,  5.03it/s]

train:   3%|▎         | 115/3515 [00:25<11:15,  5.03it/s]
overall:  91%|█████████ | 3631/4000 [19:11<01:14,  4.97it/s]

train:   3%|▎         | 116/3515 [00:25<11:23,  4.97it/s]
overall:  91%|█████████ | 3632/4000 [19:11<01:14,  4.95it/s]

train:   3%|▎         | 117/3515 [00:25<11:25,  4.95it/s]
overall:  91%|█████████ | 3633/4000 [19:11<01:15,  4.89it/s]

train:   3%|▎         | 118/3515 [00:25<11:34,  4.89it/s]
overall:  91%|█████████ | 3634/4000 [19:11<01:17,  4.71it/s]

train:   3%|▎         | 119/3515 [00:26<12:01,  4.71it/s]
overall:  91%|█████████ | 3635/4000 [19:12<01:17,  4.74it/s]

train:   3%|▎         | 120/3515 [00:26<11:56,  4.74it/s]
overall:  91%|█████████ | 3636/4000 [19:12<01:31,  3.96it/s]

train:   3%|▎         | 121/3515 [00:26<14:16,  3.96it/s]
overall:  91%|█████████ | 3637/4000 [19:12<01:27,  4.13it/s]

train:   3%|▎         | 122/3515 [00:26<13:42,  4.13it/s]
overall:  91%|█████████ | 3638/4000 [19:12<01:23,  4.34it/s]

train:   3%|▎         | 123/3515 [00:27<13:02,  4.34it/s]
overall:  91%|█████████ | 3639/4000 [19:13<01:25,  4.22it/s]

train:   4%|▎         | 124/3515 [00:27<13:24,  4.22it/s]
overall:  91%|█████████ | 3640/4000 [19:13<01:22,  4.37it/s]

train:   4%|▎         | 125/3515 [00:27<12:55,  4.37it/s]
overall:  91%|█████████ | 3641/4000 [19:13<01:19,  4.49it/s]

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overall:  91%|█████████ | 3642/4000 [19:13<01:19,  4.50it/s]

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overall:  91%|█████████ | 3643/4000 [19:13<01:19,  4.49it/s]

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overall:  91%|█████████ | 3644/4000 [19:14<01:16,  4.64it/s]

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overall:  91%|█████████ | 3645/4000 [19:14<01:15,  4.71it/s]

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overall:  91%|█████████ | 3646/4000 [19:14<01:15,  4.66it/s]

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overall:  91%|█████████ | 3647/4000 [19:14<01:07,  5.20it/s]

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overall:  91%|█████████ | 3648/4000 [19:14<01:14,  4.74it/s]

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overall:  91%|█████████ | 3649/4000 [19:15<01:13,  4.81it/s]

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overall:  91%|█████████▏| 3650/4000 [19:15<01:07,  5.15it/s]

train:   4%|▍         | 135/3515 [00:29<10:56,  5.15it/s]
overall:  91%|█████████▏| 3651/4000 [19:15<01:06,  5.26it/s]

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overall:  91%|█████████▏| 3652/4000 [19:15<01:07,  5.18it/s]

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overall:  91%|█████████▏| 3653/4000 [19:15<01:09,  4.98it/s]

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overall:  91%|█████████▏| 3655/4000 [19:16<01:01,  5.64it/s]

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overall:  91%|█████████▏| 3656/4000 [19:16<01:05,  5.27it/s]

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overall:  91%|█████████▏| 3657/4000 [19:16<01:07,  5.09it/s]

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overall:  91%|█████████▏| 3658/4000 [19:16<01:07,  5.03it/s]

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overall:  91%|█████████▏| 3659/4000 [19:17<01:07,  5.05it/s]

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overall:  92%|█████████▏| 3660/4000 [19:17<01:19,  4.27it/s]

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overall:  92%|█████████▏| 3661/4000 [19:17<01:15,  4.47it/s]

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overall:  92%|█████████▏| 3662/4000 [19:17<01:14,  4.51it/s]

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overall:  92%|█████████▏| 3663/4000 [19:17<01:03,  5.30it/s]

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overall:  92%|█████████▏| 3664/4000 [19:18<01:08,  4.92it/s]

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overall:  92%|█████████▏| 3665/4000 [19:18<01:09,  4.81it/s]

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overall:  92%|█████████▏| 3666/4000 [19:18<01:10,  4.76it/s]

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overall:  92%|█████████▏| 3667/4000 [19:18<01:01,  5.38it/s]

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overall:  92%|█████████▏| 3669/4000 [19:19<00:53,  6.23it/s]

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overall:  92%|█████████▏| 3670/4000 [19:19<00:57,  5.78it/s]

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overall:  92%|█████████▏| 3672/4000 [19:19<01:12,  4.54it/s]

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overall:  92%|█████████▏| 3674/4000 [19:20<01:01,  5.33it/s]

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overall:  92%|█████████▏| 3675/4000 [19:20<01:06,  4.91it/s]

train:   5%|▍         | 160/3515 [00:34<11:22,  4.91it/s]
overall:  92%|█████████▏| 3676/4000 [19:20<01:07,  4.79it/s]

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overall:  92%|█████████▏| 3677/4000 [19:20<01:06,  4.89it/s]

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overall:  92%|█████████▏| 3678/4000 [19:20<01:05,  4.90it/s]

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overall: 100%|█████████▉| 3999/4000 [20:30<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [01:44<10:11,  4.95it/s]train loss: 3.259939670562744
train per: 0.8446171764229289
train loss: 3.2572531700134277
train per: 0.8507906001572464
train loss: 3.239811420440674
train per: 0.8357304686505613
train loss: 3.2571797370910645
train per: 0.8430260047281324
train loss: 3.302680253982544
train per: 0.8494307376321728
train loss: 3.257636308670044
train per: 0.8450183586384836
train loss: 3.251664400100708
train per: 0.844360298336202
train loss: 3.2666454315185547
train per: 0.8395272857215784
train loss: 3.319317579269409
train per: 0.8447371102506623
train loss: 3.2790019512176514
train per: 0.8437451597914193
train loss: 3.291762590408325
train per: 0.841779235314021
train loss: 3.2634670734405518
train per: 0.8453815261044176
train loss: 3.2554221153259277
train per: 0.8400756143667297
train loss: 3.275822162628174
train per: 0.837766582265264
train loss: 3.295067548751831
train per: 0.8404597228293009
train loss: 3.245042324066162
train per: 0.8412420341737121
train loss: 3.258481502532959
train per: 0.8413378651297966
train loss: 3.2461140155792236
train per: 0.8394495412844036
train loss: 3.264240264892578
train per: 0.8406276212562294
train loss: 3.2381958961486816
train per: 0.8406589554854539
train loss: 3.2780299186706543
train per: 0.8426689051689051
train loss: 3.232468366622925
train per: 0.8370615486432826
train loss: 3.2481513023376465
train per: 0.8517194537785087
train loss: 3.251140594482422
train per: 0.8386014394086754
train loss: 3.2409141063690186
train per: 0.8435874572744836
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 326/2703 [00:00<00:00, 3252.65it/s]


word -> phonemes:  24%|██▍       | 652/2703 [00:00<00:00, 3192.36it/s]


word -> phonemes:  37%|███▋      | 1011/2703 [00:00<00:00, 3369.84it/s]


word -> phonemes:  51%|█████     | 1368/2703 [00:00<00:00, 3446.11it/s]


word -> phonemes:  64%|██████▎   | 1718/2703 [00:00<00:00, 3465.18it/s]


word -> phonemes:  76%|███████▋  | 2065/2703 [00:00<00:00, 3367.99it/s]


word -> phonemes:  89%|████████▉ | 2403/2703 [00:00<00:00, 3174.44it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3207.26it/s]



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


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dev:   3%|▎         | 68/2703 [00:05<02:41, 16.29it/s]


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overall: 100%|█████████▉| 3999/4000 [22:38<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [03:52<10:11,  4.95it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:38<00:00,  4.95it/s]

train:  14%|█▍        | 484/3515 [03:52<10:11,  4.95it/s]
overall: 100%|██████████| 4000/4000 [22:38<00:00, 34.93s/it]

train:  14%|█▍        | 485/3515 [03:52<29:23:59, 34.93s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:53<24:17,  2.08it/s]   

overall: 100%|██████████| 4000/4000 [22:39<00:00,  2.94it/s]
dev loss: 3.3553860187530518
dev per: 0.8566233090530697
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt