/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")
2023-10-02 01:31:37 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_25hz_test_demuc_label_update4_4and2codebook {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_test_demuc_label_update4_4and2codebook
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.


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word -> phonemes:  92%|█████████▏| 3249/3515 [00:01<00:00, 2128.00it/s]

word -> phonemes:  99%|█████████▉| 3479/3515 [00:01<00:00, 2174.45it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2114.50it/s]


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train:   4%|▍         | 155/3515 [00:33<12:09,  4.61it/s]
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train:   4%|▍         | 157/3515 [00:33<10:37,  5.27it/s]
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train:   4%|▍         | 158/3515 [00:33<11:04,  5.05it/s]
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train:   5%|▍         | 159/3515 [00:33<11:22,  4.92it/s]
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train:   5%|▍         | 160/3515 [00:34<11:40,  4.79it/s]
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train:   5%|▍         | 161/3515 [00:34<11:50,  4.72it/s]
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train:   5%|▍         | 162/3515 [00:34<11:37,  4.81it/s]
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train:   5%|▌         | 177/3515 [00:37<13:27,  4.14it/s]
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train:   5%|▌         | 178/3515 [00:38<13:01,  4.27it/s]
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train:   5%|▌         | 179/3515 [00:38<12:36,  4.41it/s]
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train:   5%|▌         | 180/3515 [00:38<12:08,  4.58it/s]
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train:   5%|▌         | 181/3515 [00:38<12:15,  4.54it/s]
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train:   5%|▌         | 182/3515 [00:38<11:56,  4.65it/s]
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train:   5%|▌         | 183/3515 [00:39<11:51,  4.68it/s]
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train:   5%|▌         | 184/3515 [00:39<10:25,  5.32it/s]
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train:   5%|▌         | 185/3515 [00:39<10:31,  5.28it/s]
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train:   5%|▌         | 186/3515 [00:39<10:54,  5.08it/s]
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train:   5%|▌         | 187/3515 [00:39<11:08,  4.98it/s]
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train:   5%|▌         | 188/3515 [00:39<11:01,  5.03it/s]
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train:   5%|▌         | 189/3515 [00:40<11:18,  4.90it/s]
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train:   5%|▌         | 190/3515 [00:40<11:53,  4.66it/s]
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overall:  13%|█▎        | 501/4000 [01:49<15:24,  3.78it/s]

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overall:  13%|█▎        | 503/4000 [01:50<13:27,  4.33it/s]

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overall:  13%|█▎        | 505/4000 [01:50<11:02,  5.27it/s]

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overall:  13%|█▎        | 506/4000 [01:50<11:17,  5.16it/s]

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overall:  13%|█▎        | 508/4000 [01:51<10:45,  5.41it/s]

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overall:  13%|█▎        | 510/4000 [01:51<11:10,  5.21it/s]

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overall:  13%|█▎        | 511/4000 [01:51<11:20,  5.13it/s]

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overall:  13%|█▎        | 512/4000 [01:52<11:46,  4.94it/s]

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overall:  13%|█▎        | 513/4000 [01:52<11:37,  5.00it/s]

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overall:  13%|█▎        | 514/4000 [01:52<11:45,  4.94it/s]

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overall:  13%|█▎        | 521/4000 [01:53<11:59,  4.83it/s]

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overall:  13%|█▎        | 522/4000 [01:54<12:04,  4.80it/s]

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overall:  13%|█▎        | 523/4000 [01:54<18:06,  3.20it/s]

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overall:  13%|█▎        | 526/4000 [01:55<14:27,  4.00it/s]

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overall:  13%|█▎        | 527/4000 [01:55<13:25,  4.31it/s]

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overall:  13%|█▎        | 528/4000 [01:55<13:14,  4.37it/s]

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overall:  13%|█▎        | 529/4000 [01:55<13:05,  4.42it/s]

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overall:  13%|█▎        | 530/4000 [01:56<12:48,  4.52it/s]

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overall:  13%|█▎        | 531/4000 [01:56<12:29,  4.63it/s]

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overall:  13%|█▎        | 532/4000 [01:56<12:29,  4.63it/s]

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overall:  13%|█▎        | 533/4000 [01:56<12:09,  4.75it/s]

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overall:  13%|█▎        | 534/4000 [01:56<10:46,  5.36it/s]

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overall:  13%|█▎        | 535/4000 [01:57<11:01,  5.24it/s]

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overall:  13%|█▎        | 536/4000 [01:57<10:46,  5.36it/s]

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overall:  13%|█▎        | 537/4000 [01:57<11:07,  5.19it/s]

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overall:  13%|█▎        | 538/4000 [01:57<09:53,  5.83it/s]

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overall:  13%|█▎        | 539/4000 [01:57<10:32,  5.47it/s]

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overall:  14%|█▎        | 540/4000 [01:57<10:58,  5.26it/s]

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overall:  14%|█▎        | 541/4000 [01:58<11:09,  5.17it/s]

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overall:  14%|█▎        | 542/4000 [01:58<11:26,  5.04it/s]

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overall:  14%|█▎        | 543/4000 [01:58<11:34,  4.98it/s]

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overall:  14%|█▎        | 544/4000 [01:58<11:43,  4.91it/s]

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overall:  14%|█▎        | 545/4000 [01:58<11:45,  4.90it/s]

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overall:  14%|█▎        | 546/4000 [01:59<11:53,  4.84it/s]

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overall:  14%|█▎        | 547/4000 [01:59<18:50,  3.05it/s]

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overall:  14%|█▎        | 548/4000 [01:59<16:39,  3.46it/s]

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overall:  14%|█▎        | 549/4000 [02:00<15:21,  3.74it/s]

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overall:  14%|█▍        | 550/4000 [02:00<14:00,  4.11it/s]

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overall:  14%|█▍        | 551/4000 [02:00<13:33,  4.24it/s]

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overall:  14%|█▍        | 552/4000 [02:00<13:27,  4.27it/s]

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overall:  14%|█▍        | 553/4000 [02:01<13:02,  4.41it/s]

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overall:  14%|█▍        | 554/4000 [02:01<12:47,  4.49it/s]

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overall:  14%|█▍        | 555/4000 [02:01<12:38,  4.54it/s]

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overall:  14%|█▍        | 556/4000 [02:01<12:25,  4.62it/s]

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overall:  14%|█▍        | 557/4000 [02:01<11:26,  5.01it/s]

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overall:  14%|█▍        | 558/4000 [02:02<11:56,  4.81it/s]

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overall:  14%|█▍        | 559/4000 [02:02<11:33,  4.96it/s]

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overall:  14%|█▍        | 560/4000 [02:02<11:52,  4.83it/s]

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overall:  14%|█▍        | 561/4000 [02:02<12:01,  4.77it/s]

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overall:  14%|█▍        | 562/4000 [02:02<12:05,  4.74it/s]

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overall:  14%|█▍        | 563/4000 [02:03<12:04,  4.74it/s]

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overall:  14%|█▍        | 564/4000 [02:03<11:59,  4.77it/s]

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overall:  14%|█▍        | 565/4000 [02:03<11:59,  4.77it/s]

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overall:  14%|█▍        | 566/4000 [02:03<11:57,  4.78it/s]

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overall:  14%|█▍        | 568/4000 [02:04<11:10,  5.12it/s]

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overall:  14%|█▍        | 569/4000 [02:04<11:22,  5.03it/s]

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overall:  14%|█▍        | 571/4000 [02:04<13:42,  4.17it/s]

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overall:  14%|█▍        | 572/4000 [02:05<13:12,  4.32it/s]

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overall:  14%|█▍        | 573/4000 [02:05<12:47,  4.46it/s]

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overall:  14%|█▍        | 574/4000 [02:05<12:28,  4.58it/s]

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overall:  14%|█▍        | 575/4000 [02:05<11:14,  5.08it/s]

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overall:  14%|█▍        | 576/4000 [02:05<11:46,  4.85it/s]

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overall:  14%|█▍        | 577/4000 [02:05<10:11,  5.60it/s]

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overall:  14%|█▍        | 578/4000 [02:06<10:40,  5.34it/s]

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overall:  14%|█▍        | 580/4000 [02:06<11:29,  4.96it/s]

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overall:  15%|█▍        | 581/4000 [02:06<11:34,  4.92it/s]

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overall:  15%|█▍        | 589/4000 [02:08<11:46,  4.83it/s]

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overall:  15%|█▌        | 619/4000 [02:15<18:42,  3.01it/s]

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train:  28%|██▊       | 987/3515 [03:30<08:44,  4.82it/s]
overall:  25%|██▍       | 988/4000 [03:33<10:28,  4.79it/s]

train:  28%|██▊       | 988/3515 [03:30<08:47,  4.79it/s]
overall:  25%|██▍       | 989/4000 [03:33<10:17,  4.88it/s]

train:  28%|██▊       | 989/3515 [03:30<08:37,  4.88it/s]
overall:  25%|██▍       | 990/4000 [03:33<10:02,  5.00it/s]

train:  28%|██▊       | 990/3515 [03:30<08:25,  5.00it/s]
overall:  25%|██▍       | 991/4000 [03:33<10:13,  4.91it/s]

train:  28%|██▊       | 991/3515 [03:30<08:34,  4.91it/s]
overall:  25%|██▍       | 992/4000 [03:34<10:31,  4.76it/s]

train:  28%|██▊       | 992/3515 [03:31<08:49,  4.76it/s]
overall:  25%|██▍       | 993/4000 [03:34<10:30,  4.77it/s]

train:  28%|██▊       | 993/3515 [03:31<08:48,  4.77it/s]
overall:  25%|██▍       | 994/4000 [03:34<10:19,  4.86it/s]

train:  28%|██▊       | 994/3515 [03:31<08:39,  4.86it/s]
overall:  25%|██▍       | 995/4000 [03:34<10:36,  4.72it/s]

train:  28%|██▊       | 995/3515 [03:31<08:53,  4.72it/s]
overall:  25%|██▍       | 996/4000 [03:34<09:57,  5.03it/s]

train:  28%|██▊       | 996/3515 [03:31<08:20,  5.03it/s]
overall:  25%|██▍       | 997/4000 [03:35<10:20,  4.84it/s]

train:  28%|██▊       | 997/3515 [03:32<08:40,  4.84it/s]
overall:  25%|██▍       | 998/4000 [03:35<10:36,  4.72it/s]

train:  28%|██▊       | 998/3515 [03:32<08:53,  4.72it/s]
overall:  25%|██▍       | 999/4000 [03:35<10:15,  4.88it/s]

train:  28%|██▊       | 999/3515 [03:32<08:36,  4.88it/s]train loss: 3.8526854515075684
train per: 0.8417133213682998
train loss: 2.675201416015625
train per: 0.6839978517173474
train loss: 2.4582552909851074
train per: 0.6481322846091945
train loss: 2.4072232246398926
train per: 0.6259899666403524
train loss: 2.384035587310791
train per: 0.6216743279008219
train loss: 2.3146328926086426
train per: 0.6186340414089809
train loss: 2.270738124847412
train per: 0.6010830324909747
train loss: 2.3466744422912598
train per: 0.6122036781120442
train loss: 2.24098539352417
train per: 0.5933044620699722
train loss: 2.217327117919922
train per: 0.5895039736914223
train loss: 2.233612298965454
train per: 0.6011426766014586
train loss: 2.2466232776641846
train per: 0.5960509364780497
train loss: 2.306030750274658
train per: 0.6052272192135625
train loss: 2.2722835540771484
train per: 0.5981724933372153
train loss: 2.1907076835632324
train per: 0.5848461303006758
train loss: 2.21799898147583
train per: 0.591763610981852
train loss: 2.1908440589904785
train per: 0.5887647898816809
train loss: 2.193432569503784
train per: 0.587488464442518
train loss: 2.2283196449279785
train per: 0.5882109902217325
train loss: 2.1768505573272705
train per: 0.5813906651226021
train loss: 2.167917490005493
train per: 0.5777947668253225
train loss: 2.208278179168701
train per: 0.5884376805042819
train loss: 2.2238762378692627
train per: 0.5858623567130748
train loss: 2.2009506225585938
train per: 0.5793202834153957
train loss: 2.185736894607544
train per: 0.5790717374827232
train loss: 2.135519504547119
train per: 0.5697353131052292
train loss: 2.194023609161377
train per: 0.5796037066246057
train loss: 2.163665294647217
train per: 0.5766750962568064
train loss: 2.1506447792053223
train per: 0.5705584021750497
train loss: 2.171146869659424
train per: 0.5812587678626626
train loss: 2.1965956687927246
train per: 0.5807094651391791
train loss: 2.143263339996338
train per: 0.571547543232254
train loss: 2.185049533843994
train per: 0.5821674765510227
train loss: 2.178983449935913
train per: 0.578400291045164
train loss: 2.156550168991089
train per: 0.5811753802540479
train loss: 2.1600451469421387
train per: 0.5859347597334269
train loss: 2.210883617401123
train per: 0.5819964349376114
train loss: 2.2042064666748047
train per: 0.5802120993010363
train loss: 2.1743645668029785
train per: 0.5775298569813732
train loss: 2.1816458702087402
train per: 0.5761136156595268
train loss: 2.144522190093994
train per: 0.5757479481069632
train loss: 2.145308017730713
train per: 0.5757550931236004
train loss: 2.157196044921875
train per: 0.5763438101347017
train loss: 2.1931750774383545
train per: 0.5816932366539501
train loss: 2.1386213302612305
train per: 0.5690929733821117
train loss: 2.146899700164795
train per: 0.5738911751257431
train loss: 2.164207935333252
train per: 0.5783092037228542
train loss: 2.164889097213745
train per: 0.5774412137901245
train loss: 2.143979549407959
train per: 0.5688357680389553
train loss: 2.119706869125366
train per: 0.5671121871680214
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█▏        | 310/2703 [00:00<00:00, 3091.36it/s]


word -> phonemes:  23%|██▎       | 620/2703 [00:00<00:00, 2632.77it/s]


word -> phonemes:  33%|███▎      | 888/2703 [00:00<00:00, 2612.31it/s]


word -> phonemes:  43%|████▎     | 1171/2703 [00:00<00:00, 2692.62it/s]


word -> phonemes:  53%|█████▎    | 1443/2703 [00:00<00:00, 2637.65it/s]


word -> phonemes:  63%|██████▎   | 1708/2703 [00:00<00:00, 2570.17it/s]


word -> phonemes:  74%|███████▍  | 2010/2703 [00:00<00:00, 2708.77it/s]


word -> phonemes:  84%|████████▍ | 2283/2703 [00:00<00:00, 2477.51it/s]


word -> phonemes:  95%|█████████▌| 2579/2703 [00:00<00:00, 2614.95it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2643.69it/s]



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overall:  48%|████▊     | 1923/4000 [08:58<07:32,  4.59it/s]

train:  55%|█████▍    | 1923/3515 [08:55<05:46,  4.59it/s]
overall:  48%|████▊     | 1924/4000 [08:58<07:27,  4.64it/s]

train:  55%|█████▍    | 1924/3515 [08:55<05:43,  4.64it/s]
overall:  48%|████▊     | 1925/4000 [08:58<06:56,  4.98it/s]

train:  55%|█████▍    | 1925/3515 [08:55<05:19,  4.98it/s]
overall:  48%|████▊     | 1926/4000 [08:58<07:00,  4.94it/s]

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

train:  55%|█████▍    | 1927/3515 [08:55<05:20,  4.96it/s]
overall:  48%|████▊     | 1929/4000 [08:59<06:02,  5.71it/s]

train:  55%|█████▍    | 1929/3515 [08:56<04:37,  5.71it/s]
overall:  48%|████▊     | 1930/4000 [08:59<06:28,  5.32it/s]

train:  55%|█████▍    | 1930/3515 [08:56<04:57,  5.32it/s]
overall:  48%|████▊     | 1931/4000 [08:59<06:45,  5.10it/s]

train:  55%|█████▍    | 1931/3515 [08:56<05:10,  5.10it/s]
overall:  48%|████▊     | 1932/4000 [08:59<06:55,  4.98it/s]

train:  55%|█████▍    | 1932/3515 [08:56<05:18,  4.98it/s]
overall:  48%|████▊     | 1933/4000 [08:59<07:05,  4.86it/s]

train:  55%|█████▍    | 1933/3515 [08:56<05:25,  4.86it/s]
overall:  48%|████▊     | 1934/4000 [09:00<07:23,  4.66it/s]

train:  55%|█████▌    | 1934/3515 [08:57<05:39,  4.66it/s]
overall:  48%|████▊     | 1935/4000 [09:00<07:26,  4.62it/s]

train:  55%|█████▌    | 1935/3515 [08:57<05:41,  4.62it/s]
overall:  48%|████▊     | 1936/4000 [09:00<06:21,  5.41it/s]

train:  55%|█████▌    | 1936/3515 [08:57<04:52,  5.41it/s]
overall:  48%|████▊     | 1937/4000 [09:00<06:30,  5.28it/s]

train:  55%|█████▌    | 1937/3515 [08:57<04:58,  5.28it/s]
overall:  48%|████▊     | 1938/4000 [09:00<06:38,  5.18it/s]

train:  55%|█████▌    | 1938/3515 [08:57<05:04,  5.18it/s]
overall:  48%|████▊     | 1939/4000 [09:01<06:53,  4.98it/s]

train:  55%|█████▌    | 1939/3515 [08:58<05:16,  4.98it/s]
overall:  48%|████▊     | 1940/4000 [09:01<10:36,  3.23it/s]

train:  55%|█████▌    | 1940/3515 [08:58<08:06,  3.23it/s]
overall:  49%|████▊     | 1941/4000 [09:01<09:23,  3.65it/s]

train:  55%|█████▌    | 1941/3515 [08:58<07:11,  3.65it/s]
overall:  49%|████▊     | 1942/4000 [09:02<08:48,  3.90it/s]

train:  55%|█████▌    | 1942/3515 [08:59<06:43,  3.90it/s]
overall:  49%|████▊     | 1943/4000 [09:02<09:03,  3.79it/s]

train:  55%|█████▌    | 1943/3515 [08:59<06:55,  3.79it/s]
overall:  49%|████▊     | 1945/4000 [09:02<07:24,  4.62it/s]

train:  55%|█████▌    | 1945/3515 [08:59<05:39,  4.62it/s]
overall:  49%|████▊     | 1946/4000 [09:02<07:23,  4.63it/s]

train:  55%|█████▌    | 1946/3515 [08:59<05:38,  4.63it/s]
overall:  49%|████▊     | 1948/4000 [09:03<06:23,  5.35it/s]

train:  55%|█████▌    | 1948/3515 [09:00<04:53,  5.35it/s]
overall:  49%|████▊     | 1949/4000 [09:03<06:41,  5.11it/s]

train:  55%|█████▌    | 1949/3515 [09:00<05:06,  5.11it/s]
overall:  49%|████▉     | 1950/4000 [09:03<06:55,  4.93it/s]

train:  55%|█████▌    | 1950/3515 [09:00<05:17,  4.93it/s]
overall:  49%|████▉     | 1951/4000 [09:03<06:58,  4.90it/s]

train:  56%|█████▌    | 1951/3515 [09:00<05:19,  4.89it/s]
overall:  49%|████▉     | 1952/4000 [09:04<07:01,  4.86it/s]

train:  56%|█████▌    | 1952/3515 [09:01<05:21,  4.86it/s]
overall:  49%|████▉     | 1953/4000 [09:04<07:02,  4.84it/s]

train:  56%|█████▌    | 1953/3515 [09:01<05:22,  4.84it/s]
overall:  49%|████▉     | 1954/4000 [09:04<07:11,  4.74it/s]

train:  56%|█████▌    | 1954/3515 [09:01<05:29,  4.74it/s]
overall:  49%|████▉     | 1955/4000 [09:04<07:02,  4.84it/s]

train:  56%|█████▌    | 1955/3515 [09:01<05:22,  4.84it/s]
overall:  49%|████▉     | 1956/4000 [09:04<06:58,  4.88it/s]

train:  56%|█████▌    | 1956/3515 [09:01<05:19,  4.88it/s]
overall:  49%|████▉     | 1957/4000 [09:05<07:03,  4.83it/s]

train:  56%|█████▌    | 1957/3515 [09:02<05:22,  4.83it/s]
overall:  49%|████▉     | 1958/4000 [09:05<07:17,  4.67it/s]

train:  56%|█████▌    | 1958/3515 [09:02<05:33,  4.67it/s]
overall:  49%|████▉     | 1959/4000 [09:05<07:10,  4.74it/s]

train:  56%|█████▌    | 1959/3515 [09:02<05:28,  4.74it/s]
overall:  49%|████▉     | 1960/4000 [09:05<07:10,  4.74it/s]

train:  56%|█████▌    | 1960/3515 [09:02<05:28,  4.74it/s]
overall:  49%|████▉     | 1961/4000 [09:05<07:10,  4.73it/s]

train:  56%|█████▌    | 1961/3515 [09:03<05:28,  4.73it/s]
overall:  49%|████▉     | 1962/4000 [09:06<07:12,  4.71it/s]

train:  56%|█████▌    | 1962/3515 [09:03<05:29,  4.71it/s]
overall:  49%|████▉     | 1963/4000 [09:06<07:15,  4.68it/s]

train:  56%|█████▌    | 1963/3515 [09:03<05:31,  4.68it/s]
overall:  49%|████▉     | 1964/4000 [09:06<10:15,  3.31it/s]

train:  56%|█████▌    | 1964/3515 [09:03<07:48,  3.31it/s]
overall:  49%|████▉     | 1965/4000 [09:07<09:20,  3.63it/s]

train:  56%|█████▌    | 1965/3515 [09:04<07:06,  3.63it/s]
overall:  49%|████▉     | 1966/4000 [09:07<08:31,  3.97it/s]

train:  56%|█████▌    | 1966/3515 [09:04<06:29,  3.97it/s]
overall:  49%|████▉     | 1967/4000 [09:07<08:35,  3.94it/s]

train:  56%|█████▌    | 1967/3515 [09:04<06:32,  3.94it/s]
overall:  49%|████▉     | 1968/4000 [09:07<07:46,  4.36it/s]

train:  56%|█████▌    | 1968/3515 [09:04<05:55,  4.36it/s]
overall:  49%|████▉     | 1969/4000 [09:07<07:39,  4.42it/s]

train:  56%|█████▌    | 1969/3515 [09:05<05:50,  4.42it/s]
overall:  49%|████▉     | 1970/4000 [09:08<07:35,  4.46it/s]

train:  56%|█████▌    | 1970/3515 [09:05<05:46,  4.46it/s]
overall:  49%|████▉     | 1971/4000 [09:08<07:35,  4.46it/s]

train:  56%|█████▌    | 1971/3515 [09:05<05:46,  4.46it/s]
overall:  49%|████▉     | 1972/4000 [09:08<07:26,  4.55it/s]

train:  56%|█████▌    | 1972/3515 [09:05<05:39,  4.55it/s]
overall:  49%|████▉     | 1973/4000 [09:08<07:28,  4.52it/s]

train:  56%|█████▌    | 1973/3515 [09:05<05:41,  4.52it/s]
overall:  49%|████▉     | 1974/4000 [09:09<07:23,  4.57it/s]

train:  56%|█████▌    | 1974/3515 [09:06<05:37,  4.57it/s]
overall:  49%|████▉     | 1975/4000 [09:09<07:23,  4.57it/s]

train:  56%|█████▌    | 1975/3515 [09:06<05:36,  4.57it/s]
overall:  49%|████▉     | 1976/4000 [09:09<07:14,  4.66it/s]

train:  56%|█████▌    | 1976/3515 [09:06<05:30,  4.66it/s]
overall:  49%|████▉     | 1977/4000 [09:09<07:15,  4.65it/s]

train:  56%|█████▌    | 1977/3515 [09:06<05:30,  4.65it/s]
overall:  49%|████▉     | 1978/4000 [09:09<07:03,  4.77it/s]

train:  56%|█████▋    | 1978/3515 [09:06<05:21,  4.77it/s]
overall:  49%|████▉     | 1979/4000 [09:10<06:33,  5.13it/s]

train:  56%|█████▋    | 1979/3515 [09:07<04:59,  5.13it/s]
overall:  50%|████▉     | 1980/4000 [09:10<06:54,  4.87it/s]

train:  56%|█████▋    | 1980/3515 [09:07<05:14,  4.87it/s]
overall:  50%|████▉     | 1981/4000 [09:10<06:21,  5.30it/s]

train:  56%|█████▋    | 1981/3515 [09:07<04:49,  5.30it/s]
overall:  50%|████▉     | 1982/4000 [09:10<06:22,  5.27it/s]

train:  56%|█████▋    | 1982/3515 [09:07<04:50,  5.27it/s]
overall:  50%|████▉     | 1984/4000 [09:10<05:48,  5.79it/s]

train:  56%|█████▋    | 1984/3515 [09:07<04:24,  5.79it/s]
overall:  50%|████▉     | 1985/4000 [09:11<06:06,  5.49it/s]

train:  56%|█████▋    | 1985/3515 [09:08<04:38,  5.49it/s]
overall:  50%|████▉     | 1986/4000 [09:11<05:25,  6.19it/s]

train:  57%|█████▋    | 1986/3515 [09:08<04:07,  6.19it/s]
overall:  50%|████▉     | 1987/4000 [09:11<05:49,  5.76it/s]

train:  57%|█████▋    | 1987/3515 [09:08<04:25,  5.76it/s]
overall:  50%|████▉     | 1988/4000 [09:12<09:26,  3.55it/s]

train:  57%|█████▋    | 1988/3515 [09:09<07:10,  3.55it/s]
overall:  50%|████▉     | 1989/4000 [09:12<08:49,  3.80it/s]

train:  57%|█████▋    | 1989/3515 [09:09<06:41,  3.80it/s]
overall:  50%|████▉     | 1990/4000 [09:12<08:23,  3.99it/s]

train:  57%|█████▋    | 1990/3515 [09:09<06:22,  3.99it/s]
overall:  50%|████▉     | 1991/4000 [09:12<08:41,  3.85it/s]

train:  57%|█████▋    | 1991/3515 [09:09<06:35,  3.85it/s]
overall:  50%|████▉     | 1992/4000 [09:12<07:25,  4.50it/s]

train:  57%|█████▋    | 1992/3515 [09:09<05:38,  4.50it/s]
overall:  50%|████▉     | 1993/4000 [09:13<07:19,  4.57it/s]

train:  57%|█████▋    | 1993/3515 [09:10<05:33,  4.57it/s]
overall:  50%|████▉     | 1994/4000 [09:13<07:10,  4.66it/s]

train:  57%|█████▋    | 1994/3515 [09:10<05:26,  4.66it/s]
overall:  50%|████▉     | 1995/4000 [09:13<07:06,  4.70it/s]

train:  57%|█████▋    | 1995/3515 [09:10<05:23,  4.70it/s]
overall:  50%|████▉     | 1996/4000 [09:13<07:09,  4.67it/s]

train:  57%|█████▋    | 1996/3515 [09:10<05:25,  4.67it/s]
overall:  50%|████▉     | 1997/4000 [09:13<07:09,  4.66it/s]

train:  57%|█████▋    | 1997/3515 [09:10<05:25,  4.66it/s]
overall:  50%|████▉     | 1998/4000 [09:14<07:01,  4.74it/s]

train:  57%|█████▋    | 1998/3515 [09:11<05:19,  4.74it/s]
overall:  50%|████▉     | 1999/4000 [09:14<06:58,  4.78it/s]

train:  57%|█████▋    | 1999/3515 [09:11<05:17,  4.78it/s]dev loss: 2.3740673065185547
dev per: 0.6044484911550468
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.1476616859436035
train per: 0.5781696011316847
train loss: 2.122753381729126
train per: 0.5773727215587681
train loss: 2.1936182975769043
train per: 0.5771703447018056
train loss: 2.1444966793060303
train per: 0.5770667261274318
train loss: 2.180320978164673
train per: 0.5763091118800462
train loss: 2.1605544090270996
train per: 0.5684139029417276
train loss: 2.1407270431518555
train per: 0.5746048199015289
train loss: 2.1406569480895996
train per: 0.5666348520620887
train loss: 2.1413254737854004
train per: 0.5705161813068967
train loss: 2.1395368576049805
train per: 0.5687235929268165
train loss: 2.1676583290100098
train per: 0.5731023825449177
train loss: 2.126347303390503
train per: 0.5729433360707212
train loss: 2.157604932785034
train per: 0.5708428246013667
train loss: 2.111783981323242
train per: 0.5685197514425211
train loss: 2.1314594745635986
train per: 0.5707456519650236
train loss: 2.185091495513916
train per: 0.5794574587249793
train loss: 2.141700506210327
train per: 0.5692185189398248
train loss: 2.0988824367523193
train per: 0.5647571432561517
train loss: 2.144279718399048
train per: 0.5699504706584031
train loss: 2.1450414657592773
train per: 0.5695837657096737
train loss: 2.1058802604675293
train per: 0.5657368563087265
train loss: 2.119049072265625
train per: 0.5673220173403346
train loss: 2.1027798652648926
train per: 0.5746788504833796
train loss: 2.148996353149414
train per: 0.5714421432642979
train loss: 2.167952299118042
train per: 0.5777313476348971
train loss: 2.1446022987365723
train per: 0.5704801286469102
train loss: 2.1225903034210205
train per: 0.5693055930829506
train loss: 2.173079013824463
train per: 0.5768839465278599
train loss: 2.1467795372009277
train per: 0.5683991489560684
train loss: 2.1545286178588867
train per: 0.5743973604510871
train loss: 2.1397433280944824
train per: 0.5715018596896242
train loss: 2.1561272144317627
train per: 0.5771017241798594
train loss: 2.1435961723327637
train per: 0.5710332103321033
train loss: 2.143249988555908
train per: 0.5764669801676549
train loss: 2.100562334060669
train per: 0.5626704641452053
train loss: 2.110119581222534
train per: 0.5769358390395464
train loss: 2.1703898906707764
train per: 0.5855542578042047
train loss: 2.1350808143615723
train per: 0.5774623421098345
train loss: 2.1219935417175293
train per: 0.5724748162265179
train loss: 2.1881299018859863
train per: 0.5746903309299316
train loss: 2.1495273113250732
train per: 0.5657285438115363
train loss: 2.1578640937805176
train per: 0.5732140101836136
train loss: 2.1201868057250977
train per: 0.5655496912965545
train loss: 2.092968702316284
train per: 0.5639611043933898
train loss: 2.1270928382873535
train per: 0.565359704714813
train loss: 2.1311826705932617
train per: 0.5691450908993547
train loss: 2.119530439376831
train per: 0.5720406141654284
train loss: 2.1727840900421143
train per: 0.5710842256524359
train loss: 2.085559129714966
train per: 0.5568848005338163
train loss: 2.125011682510376
train per: 0.5649279922546291
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 285/2703 [00:00<00:00, 2777.94it/s]


word -> phonemes:  21%|██        | 563/2703 [00:00<00:00, 2625.64it/s]


word -> phonemes:  31%|███       | 841/2703 [00:00<00:00, 2693.32it/s]


word -> phonemes:  41%|████      | 1111/2703 [00:00<00:00, 2319.10it/s]


word -> phonemes:  50%|████▉     | 1350/2703 [00:00<00:00, 2181.60it/s]


word -> phonemes:  59%|█████▊    | 1583/2703 [00:00<00:00, 2225.28it/s]


word -> phonemes:  69%|██████▉   | 1874/2703 [00:00<00:00, 2429.33it/s]


word -> phonemes:  79%|███████▉  | 2136/2703 [00:00<00:00, 2483.91it/s]


word -> phonemes:  88%|████████▊ | 2388/2703 [00:00<00:00, 2485.43it/s]


word -> phonemes:  98%|█████████▊| 2639/2703 [00:01<00:00, 2399.50it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2422.22it/s]



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


dev:   0%|          | 1/2703 [00:01<53:06,  1.18s/it]


dev:   0%|          | 3/2703 [00:01<16:05,  2.80it/s]


dev:   0%|          | 5/2703 [00:01<09:06,  4.93it/s]


dev:   0%|          | 7/2703 [00:01<06:27,  6.95it/s]


dev:   0%|          | 9/2703 [00:01<05:14,  8.58it/s]


dev:   0%|          | 11/2703 [00:01<04:21, 10.31it/s]


dev:   0%|          | 13/2703 [00:01<04:04, 11.02it/s]


dev:   1%|          | 15/2703 [00:02<03:39, 12.27it/s]


dev:   1%|          | 17/2703 [00:02<03:21, 13.34it/s]


dev:   1%|          | 19/2703 [00:02<03:11, 14.03it/s]


dev:   1%|          | 21/2703 [00:02<02:58, 15.05it/s]


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dev:   1%|          | 25/2703 [00:02<03:05, 14.43it/s]


dev:   1%|          | 27/2703 [00:02<02:57, 15.08it/s]


dev:   1%|          | 29/2703 [00:03<02:59, 14.86it/s]


dev:   1%|          | 31/2703 [00:03<02:50, 15.71it/s]


dev:   1%|          | 33/2703 [00:03<02:44, 16.20it/s]


dev:   1%|▏         | 35/2703 [00:03<02:38, 16.86it/s]


dev:   1%|▏         | 37/2703 [00:03<02:42, 16.44it/s]


dev:   1%|▏         | 39/2703 [00:03<02:40, 16.65it/s]


dev:   2%|▏         | 41/2703 [00:03<02:31, 17.52it/s]


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


dev:   2%|▏         | 45/2703 [00:03<02:39, 16.64it/s]


dev:   2%|▏         | 48/2703 [00:04<02:28, 17.83it/s]


dev:   2%|▏         | 50/2703 [00:04<02:37, 16.84it/s]


dev:   2%|▏         | 52/2703 [00:04<02:35, 17.08it/s]


dev:   2%|▏         | 54/2703 [00:04<02:29, 17.68it/s]


dev:   2%|▏         | 56/2703 [00:04<02:24, 18.28it/s]


dev:   2%|▏         | 58/2703 [00:04<02:25, 18.17it/s]


dev:   2%|▏         | 60/2703 [00:04<02:25, 18.12it/s]


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train:  84%|████████▍ | 2944/3515 [14:45<02:17,  4.14it/s]
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overall:  74%|███████▍  | 2961/4000 [14:51<03:20,  5.19it/s]

train:  84%|████████▍ | 2961/3515 [14:48<01:46,  5.19it/s]
overall:  74%|███████▍  | 2962/4000 [14:51<03:26,  5.04it/s]

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overall:  74%|███████▍  | 2963/4000 [14:52<03:37,  4.76it/s]

train:  84%|████████▍ | 2963/3515 [14:49<01:55,  4.77it/s]
overall:  74%|███████▍  | 2964/4000 [14:52<03:39,  4.73it/s]

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train:  84%|████████▍ | 2965/3515 [14:49<01:55,  4.74it/s]
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train:  84%|████████▍ | 2967/3515 [14:50<02:23,  3.81it/s]
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train:  85%|████████▍ | 2983/3515 [14:53<01:34,  5.64it/s]
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train:  85%|████████▍ | 2984/3515 [14:53<01:35,  5.54it/s]
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train:  85%|████████▍ | 2985/3515 [14:53<01:39,  5.33it/s]
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train:  85%|████████▌ | 2994/3515 [14:55<01:53,  4.59it/s]
overall:  75%|███████▍  | 2995/4000 [14:58<03:39,  4.59it/s]

train:  85%|████████▌ | 2995/3515 [14:55<01:53,  4.59it/s]
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train:  85%|████████▌ | 2996/3515 [14:56<02:04,  4.17it/s]
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train:  85%|████████▌ | 2997/3515 [14:56<02:00,  4.29it/s]
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train:  85%|████████▌ | 2998/3515 [14:56<01:53,  4.54it/s]
overall:  75%|███████▍  | 2999/4000 [14:59<03:58,  4.19it/s]

train:  85%|████████▌ | 2999/3515 [14:56<02:03,  4.19it/s]dev loss: 2.380732297897339
dev per: 0.6097138397502602
train loss: 2.075969696044922
train per: 0.5621011819821761
train loss: 2.0873866081237793
train per: 0.5739343540037449
train loss: 2.120976686477661
train per: 0.5670218459592273
train loss: 2.147562026977539
train per: 0.5710645526613817
train loss: 2.100801944732666
train per: 0.5620385152664139
train loss: 2.1042561531066895
train per: 0.5611390284757118
train loss: 2.1350574493408203
train per: 0.5652571589389995
train loss: 2.155475616455078
train per: 0.572520908004779
train loss: 2.075077533721924
train per: 0.5585844326534586
train loss: 2.1057159900665283
train per: 0.5627217103540223
train loss: 2.1196916103363037
train per: 0.5635209906903215
train loss: 2.1220383644104004
train per: 0.5722516826432796
train loss: 2.1816213130950928
train per: 0.5820680068434559
train loss: 2.1441304683685303
train per: 0.5704233895426423
train loss: 2.06831955909729
train per: 0.5638297872340425
train loss: 2.1381349563598633
train per: 0.5699621826039979
train loss: 2.1388556957244873
train per: 0.5682985831125447
train loss: 2.115480422973633
train per: 0.5696312586303892
train loss: 2.1097822189331055
train per: 0.5634677131644666
train loss: 2.1124765872955322
train per: 0.5655088832160078
train loss: 2.0994057655334473
train per: 0.561836984913908
train loss: 2.1767492294311523
train per: 0.5757532890083463
train loss: 2.169487476348877
train per: 0.5720068750282691
train loss: 2.112635850906372
train per: 0.5651839418100434
train loss: 2.0978896617889404
train per: 0.5658769296740995
train loss: 2.0938448905944824
train per: 0.5633577964163172
train loss: 2.0798380374908447
train per: 0.5556867282128775
train loss: 2.096205472946167
train per: 0.5623291284953715
train loss: 2.095414638519287
train per: 0.562075630668583
train loss: 2.1625545024871826
train per: 0.5705024679844415
train loss: 2.069678783416748
train per: 0.5602738201246661
train loss: 2.0837244987487793
train per: 0.5628566264749167
train loss: 2.1042990684509277
train per: 0.5660452109065486
train loss: 2.0992863178253174
train per: 0.5650266923983057
train loss: 2.124394655227661
train per: 0.5661433804290947
train loss: 2.1033358573913574
train per: 0.5662604091986985
train loss: 2.135148048400879
train per: 0.5723585254592529
train loss: 2.0936145782470703
train per: 0.5629798123400626
train loss: 2.1119086742401123
train per: 0.5660002121340687
train loss: 2.089940071105957
train per: 0.5617887602230948
train loss: 2.057115077972412
train per: 0.5585193655844479
train loss: 2.111848831176758
train per: 0.5708589118001994
train loss: 2.0819666385650635
train per: 0.5687772051165647
train loss: 2.1499571800231934
train per: 0.5652362177807152
train loss: 2.0919506549835205
train per: 0.5633831978880894
train loss: 2.1211204528808594
train per: 0.5649543807024122
train loss: 2.120352268218994
train per: 0.569440041499755
train loss: 2.1561567783355713
train per: 0.5721529302578264
train loss: 2.10040283203125
train per: 0.5652470273408902
train loss: 2.1482582092285156
train per: 0.5801607653614755
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 284/2703 [00:00<00:00, 2833.23it/s]


word -> phonemes:  21%|██        | 568/2703 [00:00<00:00, 2562.62it/s]


word -> phonemes:  31%|███       | 826/2703 [00:00<00:00, 2423.49it/s]


word -> phonemes:  40%|███▉      | 1076/2703 [00:00<00:00, 2449.29it/s]


word -> phonemes:  49%|████▉     | 1322/2703 [00:00<00:00, 2425.97it/s]


word -> phonemes:  59%|█████▉    | 1590/2703 [00:00<00:00, 2508.62it/s]


word -> phonemes:  68%|██████▊   | 1847/2703 [00:00<00:00, 2525.57it/s]


word -> phonemes:  78%|███████▊  | 2101/2703 [00:00<00:00, 2442.78it/s]


word -> phonemes:  87%|████████▋ | 2347/2703 [00:00<00:00, 2321.83it/s]


word -> phonemes:  96%|█████████▌| 2582/2703 [00:01<00:00, 2329.11it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2437.92it/s]



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


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dev:   2%|▏         | 61/2703 [00:05<02:35, 16.94it/s]


dev:   2%|▏         | 63/2703 [00:05<02:30, 17.57it/s]


dev:   2%|▏         | 65/2703 [00:05<02:32, 17.31it/s]


dev:   2%|▏         | 67/2703 [00:05<02:31, 17.36it/s]


dev:   3%|▎         | 69/2703 [00:05<02:26, 17.97it/s]


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overall:  75%|███████▍  | 2999/4000 [17:12<03:58,  4.19it/s]

train:  85%|████████▌ | 2999/3515 [17:09<02:03,  4.19it/s]
                                                            

                                                          

overall:  75%|███████▍  | 2999/4000 [17:12<03:58,  4.19it/s]

train:  85%|████████▌ | 2999/3515 [17:09<02:03,  4.19it/s]
overall:  75%|███████▌  | 3000/4000 [17:12<11:06:32, 39.99s/it]

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overall:  75%|███████▌  | 3001/4000 [17:12<7:47:09, 28.06s/it] 

train:  85%|████████▌ | 3001/3515 [17:09<4:00:21, 28.06s/it]
overall:  75%|███████▌  | 3002/4000 [17:13<5:27:52, 19.71s/it]

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overall:  75%|███████▌  | 3003/4000 [17:13<3:50:17, 13.86s/it]

train:  85%|████████▌ | 3003/3515 [17:10<1:58:15, 13.86s/it]
overall:  75%|███████▌  | 3004/4000 [17:13<2:42:18,  9.78s/it]

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overall:  75%|███████▌  | 3005/4000 [17:13<1:54:32,  6.91s/it]

train:  85%|████████▌ | 3005/3515 [17:10<58:42,  6.91s/it]  
overall:  75%|███████▌  | 3006/4000 [17:14<1:21:08,  4.90s/it]

train:  86%|████████▌ | 3006/3515 [17:11<41:32,  4.90s/it]
overall:  75%|███████▌  | 3007/4000 [17:14<57:49,  3.49s/it]  

train:  86%|████████▌ | 3007/3515 [17:11<29:35,  3.49s/it]
overall:  75%|███████▌  | 3008/4000 [17:14<41:30,  2.51s/it]

train:  86%|████████▌ | 3008/3515 [17:11<21:12,  2.51s/it]
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overall:  88%|████████▊ | 3515/4000 [19:01<01:37,  4.97it/s]

train: 100%|██████████| 3515/3515 [18:58<00:00,  4.97it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [18:59<00:00,  3.09it/s]
dev loss: 2.3652517795562744
dev per: 0.6043132154006243
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.061384439468384
train per: 0.5550131430717237
train loss: 2.1062607765197754
train per: 0.5666994159707439
train loss: 2.069227695465088
train per: 0.5582165109034268
train loss: 2.0743916034698486
train per: 0.554539039266092
train loss: 2.102848529815674
train per: 0.5593059862238738
train loss: 2.1047463417053223
train per: 0.5637757692698284
train loss: 2.06648588180542
train per: 0.5605701909031381
train loss: 2.1298904418945312
train per: 0.5660767032492016
train loss: 2.1355013847351074
train per: 0.5720190224833802
train loss: 2.087242364883423
train per: 0.5653083543340782
train loss: 2.1155388355255127
train per: 0.5686258346385293
train loss: 2.1466000080108643
train per: 0.570940613884243
train loss: 2.067216396331787
train per: 0.558183419298025
train loss: 2.08366322517395
train per: 0.5586896116935578
train loss: 2.108318328857422
train per: 0.5664556962025317
train loss: 2.123579502105713
train per: 0.565225319687265
train loss: 2.140899181365967
train per: 0.5638614314479223
train loss: 2.10194730758667
train per: 0.5666038328620798
train loss: 2.121476173400879
train per: 0.5706452973428933
train loss: 2.118504047393799
train per: 0.5679237080910721
train loss: 2.125744342803955
train per: 0.5729103615253398
train loss: 2.1436123847961426
train per: 0.569879924271895
train loss: 2.1564533710479736
train per: 0.5739595520641818
train loss: 2.123447895050049
train per: 0.5734362628661916
train loss: 2.1365020275115967
train per: 0.5629561397293276
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 233/3515 [00:00<00:01, 2327.51it/s]

word -> phonemes:  13%|█▎        | 474/3515 [00:00<00:01, 2375.19it/s]

word -> phonemes:  20%|██        | 712/3515 [00:00<00:01, 2267.90it/s]

word -> phonemes:  27%|██▋       | 940/3515 [00:00<00:01, 2206.29it/s]

word -> phonemes:  33%|███▎      | 1164/3515 [00:00<00:01, 2217.51it/s]

word -> phonemes:  39%|███▉      | 1387/3515 [00:00<00:00, 2186.92it/s]

word -> phonemes:  47%|████▋     | 1661/3515 [00:00<00:00, 2362.28it/s]

word -> phonemes:  54%|█████▍    | 1904/3515 [00:00<00:00, 2381.59it/s]

word -> phonemes:  61%|██████    | 2143/3515 [00:00<00:00, 2375.52it/s]

word -> phonemes:  68%|██████▊   | 2381/3515 [00:01<00:00, 2353.42it/s]

word -> phonemes:  75%|███████▍  | 2629/3515 [00:01<00:00, 2390.65it/s]

word -> phonemes:  83%|████████▎ | 2902/3515 [00:01<00:00, 2491.77it/s]

word -> phonemes:  90%|████████▉ | 3152/3515 [00:01<00:00, 2491.73it/s]

word -> phonemes:  97%|█████████▋| 3418/3515 [00:01<00:00, 2541.79it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2387.70it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [19:06<12:00,  1.49s/it]

train:   0%|          | 1/3515 [00:01<1:31:22,  1.56s/it]
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overall:  88%|████████▊ | 3518/4000 [19:06<06:36,  1.22it/s]

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overall:  88%|████████▊ | 3519/4000 [19:07<05:10,  1.55it/s]

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overall:  88%|████████▊ | 3520/4000 [19:07<04:03,  1.97it/s]

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overall:  88%|████████▊ | 3521/4000 [19:07<03:13,  2.47it/s]

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overall:  88%|████████▊ | 3524/4000 [19:08<02:27,  3.23it/s]

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overall:  88%|████████▊ | 3525/4000 [19:08<02:11,  3.62it/s]

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overall:  88%|████████▊ | 3527/4000 [19:08<01:47,  4.41it/s]

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overall:  88%|████████▊ | 3528/4000 [19:08<01:38,  4.81it/s]

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overall:  88%|████████▊ | 3529/4000 [19:09<01:39,  4.74it/s]

train:   0%|          | 14/3515 [00:04<11:26,  5.10it/s]
overall:  88%|████████▊ | 3530/4000 [19:09<01:35,  4.93it/s]

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overall:  88%|████████▊ | 3531/4000 [19:09<01:36,  4.86it/s]

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overall:  88%|████████▊ | 3532/4000 [19:09<01:37,  4.81it/s]

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overall:  88%|████████▊ | 3533/4000 [19:09<01:34,  4.92it/s]

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overall:  88%|████████▊ | 3534/4000 [19:10<01:39,  4.68it/s]

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overall:  88%|████████▊ | 3535/4000 [19:10<02:13,  3.49it/s]

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overall:  88%|████████▊ | 3536/4000 [19:10<02:02,  3.80it/s]

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overall:  88%|████████▊ | 3538/4000 [19:11<01:38,  4.71it/s]

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overall:  88%|████████▊ | 3539/4000 [19:11<01:39,  4.64it/s]

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overall:  88%|████████▊ | 3540/4000 [19:11<01:39,  4.64it/s]

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overall:  89%|████████▊ | 3541/4000 [19:11<01:41,  4.52it/s]

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overall:  89%|████████▊ | 3542/4000 [19:11<01:39,  4.62it/s]

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overall:  89%|████████▊ | 3544/4000 [19:12<01:26,  5.27it/s]

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overall:  89%|████████▊ | 3546/4000 [19:12<01:20,  5.63it/s]

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overall:  89%|████████▊ | 3547/4000 [19:12<01:42,  4.43it/s]

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overall:  89%|████████▊ | 3548/4000 [19:13<01:40,  4.49it/s]

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overall:  89%|████████▊ | 3549/4000 [19:13<01:39,  4.55it/s]

train:   1%|          | 34/3515 [00:08<12:44,  4.56it/s]
overall:  89%|████████▉ | 3550/4000 [19:13<01:34,  4.77it/s]

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overall:  89%|████████▉ | 3551/4000 [19:13<01:34,  4.75it/s]

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overall:  90%|█████████ | 3620/4000 [19:28<01:45,  3.62it/s]

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overall:  91%|█████████ | 3621/4000 [19:28<01:38,  3.84it/s]

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overall:  91%|█████████ | 3624/4000 [19:29<01:28,  4.27it/s]

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overall:  91%|█████████ | 3625/4000 [19:29<01:25,  4.38it/s]

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overall:  91%|█████████ | 3626/4000 [19:29<01:21,  4.61it/s]

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overall:  91%|█████████ | 3629/4000 [19:30<01:09,  5.33it/s]

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overall:  91%|█████████ | 3630/4000 [19:30<01:11,  5.14it/s]

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overall:  91%|█████████ | 3631/4000 [19:30<01:12,  5.06it/s]

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overall: 100%|█████████▉| 3997/4000 [20:48<00:00,  5.54it/s]

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overall: 100%|█████████▉| 3998/4000 [20:49<00:00,  4.41it/s]

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overall: 100%|█████████▉| 3999/4000 [20:49<00:00,  4.59it/s]

train:  14%|█▍        | 484/3515 [01:44<11:00,  4.59it/s]train loss: 2.1215662956237793
train per: 0.5677536965768686
train loss: 2.0875496864318848
train per: 0.5706880987740601
train loss: 2.094977617263794
train per: 0.5618970037929893
train loss: 2.1487579345703125
train per: 0.5702836879432625
train loss: 2.122208833694458
train per: 0.5705302127443771
train loss: 2.1162662506103516
train per: 0.5658181998610697
train loss: 2.1274685859680176
train per: 0.5674584050487665
train loss: 2.1040234565734863
train per: 0.5639899943846036
train loss: 2.1084036827087402
train per: 0.5777715508457306
train loss: 2.1245524883270264
train per: 0.5747328204863441
train loss: 2.1234993934631348
train per: 0.567189818068244
train loss: 2.1529529094696045
train per: 0.5712405176260598
train loss: 2.085628032684326
train per: 0.5584625078764965
train loss: 2.1152567863464355
train per: 0.5635490354746926
train loss: 2.155992031097412
train per: 0.5762476538194534
train loss: 2.097808361053467
train per: 0.563129966740295
train loss: 2.0871241092681885
train per: 0.5678291709767992
train loss: 2.1092402935028076
train per: 0.5655274040975424
train loss: 2.117344379425049
train per: 0.5665614052400454
train loss: 2.094630718231201
train per: 0.5616076644467811
train loss: 2.1029818058013916
train per: 0.5666717541717542
train loss: 2.107802391052246
train per: 0.5619016104125303
train loss: 2.1197872161865234
train per: 0.5655966254379067
train loss: 2.0929665565490723
train per: 0.5624878428321338
train loss: 2.096471071243286
train per: 0.5609798385099322
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|▉         | 260/2703 [00:00<00:00, 2595.40it/s]


word -> phonemes:  20%|██        | 542/2703 [00:00<00:00, 2723.58it/s]


word -> phonemes:  30%|███       | 818/2703 [00:00<00:00, 2736.32it/s]


word -> phonemes:  41%|████      | 1110/2703 [00:00<00:00, 2806.17it/s]


word -> phonemes:  51%|█████▏    | 1391/2703 [00:00<00:00, 2403.04it/s]


word -> phonemes:  61%|██████    | 1640/2703 [00:00<00:00, 2308.39it/s]


word -> phonemes:  71%|███████   | 1910/2703 [00:00<00:00, 2421.83it/s]


word -> phonemes:  82%|████████▏ | 2203/2703 [00:00<00:00, 2571.40it/s]


word -> phonemes:  91%|█████████ | 2465/2703 [00:00<00:00, 2537.77it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2563.20it/s]



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


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dev:   2%|▏         | 57/2703 [00:04<02:25, 18.15it/s]


dev:   2%|▏         | 59/2703 [00:04<02:26, 18.08it/s]


dev:   2%|▏         | 61/2703 [00:05<02:28, 17.79it/s]


dev:   2%|▏         | 63/2703 [00:05<02:23, 18.36it/s]


dev:   2%|▏         | 65/2703 [00:05<02:29, 17.59it/s]


dev:   2%|▏         | 67/2703 [00:05<02:44, 16.05it/s]


dev:   3%|▎         | 70/2703 [00:05<02:31, 17.36it/s]


dev:   3%|▎         | 72/2703 [00:05<02:34, 16.99it/s]


dev:   3%|▎         | 74/2703 [00:05<02:29, 17.59it/s]


dev:   3%|▎         | 76/2703 [00:05<02:30, 17.45it/s]


dev:   3%|▎         | 78/2703 [00:06<02:26, 17.88it/s]


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overall: 100%|█████████▉| 3999/4000 [22:58<00:00,  4.59it/s]

train:  14%|█▍        | 484/3515 [03:53<11:00,  4.59it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:58<00:00,  4.59it/s]

train:  14%|█▍        | 484/3515 [03:53<11:00,  4.59it/s]
overall: 100%|██████████| 4000/4000 [22:58<00:00, 36.24s/it]

train:  14%|█▍        | 485/3515 [03:53<30:30:02, 36.24s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:53<24:20,  2.07it/s]   

overall: 100%|██████████| 4000/4000 [22:58<00:00,  2.90it/s]
dev loss: 2.388672351837158
dev per: 0.6054994797086368
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt