/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 01:31:56 | 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_varmask {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_test_demuc_label_update4_4and2codebook_varmask
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:  94%|█████████▍| 3303/3515 [00:01<00:00, 2437.69it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2389.35it/s]


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train:   5%|▍         | 159/3515 [00:34<12:25,  4.50it/s]
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train:   5%|▌         | 177/3515 [00:38<11:50,  4.70it/s]
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train:   5%|▌         | 179/3515 [00:38<12:35,  4.42it/s]
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train:   5%|▌         | 180/3515 [00:38<12:06,  4.59it/s]
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train:   5%|▌         | 181/3515 [00:39<13:28,  4.12it/s]
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train:   5%|▌         | 182/3515 [00:39<13:16,  4.18it/s]
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train:   5%|▌         | 185/3515 [00:39<11:02,  5.03it/s]
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overall:  13%|█▎        | 531/4000 [01:57<13:35,  4.26it/s]

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overall:  13%|█▎        | 533/4000 [01:58<13:49,  4.18it/s]

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overall:  13%|█▎        | 537/4000 [01:58<12:17,  4.69it/s]

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overall:  13%|█▎        | 538/4000 [01:58<10:44,  5.37it/s]

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overall:  13%|█▎        | 539/4000 [01:59<12:07,  4.76it/s]

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overall:  14%|█▎        | 542/4000 [02:00<13:45,  4.19it/s]

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overall:  25%|██▍       | 987/4000 [03:35<10:28,  4.80it/s]

train:  28%|██▊       | 987/3515 [03:32<08:47,  4.80it/s]
overall:  25%|██▍       | 988/4000 [03:35<10:41,  4.70it/s]

train:  28%|██▊       | 988/3515 [03:33<08:57,  4.70it/s]
overall:  25%|██▍       | 989/4000 [03:36<10:22,  4.84it/s]

train:  28%|██▊       | 989/3515 [03:33<08:42,  4.84it/s]
overall:  25%|██▍       | 990/4000 [03:36<10:29,  4.78it/s]

train:  28%|██▊       | 990/3515 [03:33<08:48,  4.78it/s]
overall:  25%|██▍       | 991/4000 [03:36<14:13,  3.53it/s]

train:  28%|██▊       | 991/3515 [03:33<11:55,  3.53it/s]
overall:  25%|██▍       | 992/4000 [03:36<13:17,  3.77it/s]

train:  28%|██▊       | 992/3515 [03:34<11:08,  3.77it/s]
overall:  25%|██▍       | 993/4000 [03:37<12:31,  4.00it/s]

train:  28%|██▊       | 993/3515 [03:34<10:30,  4.00it/s]
overall:  25%|██▍       | 994/4000 [03:37<12:00,  4.17it/s]

train:  28%|██▊       | 994/3515 [03:34<10:04,  4.17it/s]
overall:  25%|██▍       | 995/4000 [03:37<12:50,  3.90it/s]

train:  28%|██▊       | 995/3515 [03:34<10:46,  3.90it/s]
overall:  25%|██▍       | 996/4000 [03:37<11:42,  4.28it/s]

train:  28%|██▊       | 996/3515 [03:35<09:48,  4.28it/s]
overall:  25%|██▍       | 997/4000 [03:38<11:26,  4.37it/s]

train:  28%|██▊       | 997/3515 [03:35<09:35,  4.37it/s]
overall:  25%|██▍       | 998/4000 [03:38<11:10,  4.48it/s]

train:  28%|██▊       | 998/3515 [03:35<09:22,  4.48it/s]
overall:  25%|██▍       | 999/4000 [03:38<11:07,  4.50it/s]

train:  28%|██▊       | 999/3515 [03:35<09:19,  4.50it/s]train loss: 3.7785422801971436
train per: 0.832257373228684
train loss: 2.6284310817718506
train per: 0.6814915219559602
train loss: 2.4631268978118896
train per: 0.6526231082729798
train loss: 2.4025063514709473
train per: 0.6250986783467876
train loss: 2.3793163299560547
train per: 0.6231369271486279
train loss: 2.3165767192840576
train per: 0.614439365420812
train loss: 2.2783141136169434
train per: 0.6034979022343643
train loss: 2.3426432609558105
train per: 0.6136919315403423
train loss: 2.238111734390259
train per: 0.5945939370346942
train loss: 2.223144054412842
train per: 0.58972321183886
train loss: 2.23521089553833
train per: 0.6036175982728206
train loss: 2.2433857917785645
train per: 0.5932266375978594
train loss: 2.3036739826202393
train per: 0.6078172827878503
train loss: 2.263953685760498
train per: 0.5966943629481982
train loss: 2.184393882751465
train per: 0.5830802194438558
train loss: 2.220092296600342
train per: 0.5900651465798046
train loss: 2.1805789470672607
train per: 0.5870053039575683
train loss: 2.1894545555114746
train per: 0.5870969546128247
train loss: 2.2275567054748535
train per: 0.5884313455446908
train loss: 2.173923969268799
train per: 0.5814913649866573
train loss: 2.167637348175049
train per: 0.5808034723421046
train loss: 2.2014267444610596
train per: 0.5860769984178408
train loss: 2.2150156497955322
train per: 0.5810312266678378
train loss: 2.1980366706848145
train per: 0.5793923381770145
train loss: 2.183224678039551
train per: 0.5792946631593027
train loss: 2.126922369003296
train per: 0.571103938024532
train loss: 2.1840076446533203
train per: 0.5791847397476341
train loss: 2.1499533653259277
train per: 0.575558745130203
train loss: 2.147056818008423
train per: 0.5691205688591446
train loss: 2.1602561473846436
train per: 0.5801412368927884
train loss: 2.1806232929229736
train per: 0.5755698057016596
train loss: 2.1390128135681152
train per: 0.5710086709449861
train loss: 2.1798834800720215
train per: 0.582913323539383
train loss: 2.168708086013794
train per: 0.5808170053531522
train loss: 2.145416259765625
train per: 0.579267295426048
train loss: 2.1471989154815674
train per: 0.5820764643984567
train loss: 2.1975607872009277
train per: 0.5798620883760203
train loss: 2.1920838356018066
train per: 0.5812002892263196
train loss: 2.173323154449463
train per: 0.5770138103897381
train loss: 2.1834778785705566
train per: 0.5773282567564411
train loss: 2.143218517303467
train per: 0.576330420969023
train loss: 2.1418662071228027
train per: 0.5764378174668195
train loss: 2.157146692276001
train per: 0.5741116100064144
train loss: 2.1847946643829346
train per: 0.5774235112806649
train loss: 2.1322178840637207
train per: 0.5669988646398385
train loss: 2.144395112991333
train per: 0.5720393232738912
train loss: 2.1648213863372803
train per: 0.5807911065149949
train loss: 2.160135507583618
train per: 0.578224130018088
train loss: 2.1463236808776855
train per: 0.5700239975769437
train loss: 2.1127235889434814
train per: 0.5649134076142006
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 238/2703 [00:00<00:01, 2378.62it/s]


word -> phonemes:  19%|█▉        | 526/2703 [00:00<00:00, 2670.13it/s]


word -> phonemes:  29%|██▉       | 793/2703 [00:00<00:00, 2637.30it/s]


word -> phonemes:  39%|███▉      | 1057/2703 [00:00<00:00, 2464.73it/s]


word -> phonemes:  48%|████▊     | 1305/2703 [00:00<00:00, 2187.59it/s]


word -> phonemes:  57%|█████▋    | 1529/2703 [00:00<00:00, 1900.34it/s]


word -> phonemes:  65%|██████▌   | 1758/2703 [00:00<00:00, 2005.33it/s]


word -> phonemes:  73%|███████▎  | 1966/2703 [00:00<00:00, 1850.64it/s]


word -> phonemes:  82%|████████▏ | 2212/2703 [00:01<00:00, 2013.35it/s]


word -> phonemes:  91%|█████████ | 2465/2703 [00:01<00:00, 2154.74it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2195.95it/s]



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train:  55%|█████▍    | 1918/3515 [08:57<05:15,  5.06it/s]
overall:  48%|████▊     | 1919/4000 [09:00<07:06,  4.88it/s]

train:  55%|█████▍    | 1919/3515 [08:57<05:27,  4.88it/s]
overall:  48%|████▊     | 1920/4000 [09:00<07:15,  4.77it/s]

train:  55%|█████▍    | 1920/3515 [08:58<05:34,  4.77it/s]
overall:  48%|████▊     | 1921/4000 [09:01<07:26,  4.66it/s]

train:  55%|█████▍    | 1921/3515 [08:58<05:41,  4.66it/s]
overall:  48%|████▊     | 1922/4000 [09:01<07:33,  4.59it/s]

train:  55%|█████▍    | 1922/3515 [08:58<05:47,  4.59it/s]
overall:  48%|████▊     | 1923/4000 [09:01<07:21,  4.71it/s]

train:  55%|█████▍    | 1923/3515 [08:58<05:38,  4.71it/s]
overall:  48%|████▊     | 1924/4000 [09:01<07:32,  4.59it/s]

train:  55%|█████▍    | 1924/3515 [08:58<05:46,  4.59it/s]
overall:  48%|████▊     | 1925/4000 [09:01<07:01,  4.93it/s]

train:  55%|█████▍    | 1925/3515 [08:59<05:22,  4.93it/s]
overall:  48%|████▊     | 1926/4000 [09:02<07:02,  4.91it/s]

train:  55%|█████▍    | 1926/3515 [08:59<05:23,  4.91it/s]
overall:  48%|████▊     | 1927/4000 [09:02<10:00,  3.45it/s]

train:  55%|█████▍    | 1927/3515 [08:59<07:40,  3.45it/s]
overall:  48%|████▊     | 1929/4000 [09:02<08:03,  4.29it/s]

train:  55%|█████▍    | 1929/3515 [09:00<06:10,  4.29it/s]
overall:  48%|████▊     | 1930/4000 [09:03<07:58,  4.33it/s]

train:  55%|█████▍    | 1930/3515 [09:00<06:06,  4.33it/s]
overall:  48%|████▊     | 1931/4000 [09:03<07:56,  4.35it/s]

train:  55%|█████▍    | 1931/3515 [09:00<06:04,  4.35it/s]
overall:  48%|████▊     | 1932/4000 [09:03<07:52,  4.38it/s]

train:  55%|█████▍    | 1932/3515 [09:00<06:01,  4.38it/s]
overall:  48%|████▊     | 1933/4000 [09:03<07:48,  4.41it/s]

train:  55%|█████▍    | 1933/3515 [09:01<05:58,  4.41it/s]
overall:  48%|████▊     | 1934/4000 [09:04<08:27,  4.07it/s]

train:  55%|█████▌    | 1934/3515 [09:01<06:28,  4.07it/s]
overall:  48%|████▊     | 1935/4000 [09:04<08:27,  4.07it/s]

train:  55%|█████▌    | 1935/3515 [09:01<06:28,  4.07it/s]
overall:  48%|████▊     | 1936/4000 [09:04<07:12,  4.77it/s]

train:  55%|█████▌    | 1936/3515 [09:01<05:30,  4.77it/s]
overall:  48%|████▊     | 1937/4000 [09:04<07:06,  4.84it/s]

train:  55%|█████▌    | 1937/3515 [09:01<05:25,  4.84it/s]
overall:  48%|████▊     | 1938/4000 [09:04<07:05,  4.84it/s]

train:  55%|█████▌    | 1938/3515 [09:02<05:25,  4.84it/s]
overall:  48%|████▊     | 1939/4000 [09:05<07:19,  4.68it/s]

train:  55%|█████▌    | 1939/3515 [09:02<05:36,  4.68it/s]
overall:  48%|████▊     | 1940/4000 [09:05<07:22,  4.66it/s]

train:  55%|█████▌    | 1940/3515 [09:02<05:38,  4.66it/s]
overall:  49%|████▊     | 1941/4000 [09:05<07:15,  4.73it/s]

train:  55%|█████▌    | 1941/3515 [09:02<05:32,  4.73it/s]
overall:  49%|████▊     | 1942/4000 [09:06<11:12,  3.06it/s]

train:  55%|█████▌    | 1942/3515 [09:03<08:34,  3.06it/s]
overall:  49%|████▊     | 1943/4000 [09:06<10:05,  3.40it/s]

train:  55%|█████▌    | 1943/3515 [09:03<07:42,  3.40it/s]
overall:  49%|████▊     | 1944/4000 [09:06<08:11,  4.18it/s]

train:  55%|█████▌    | 1944/3515 [09:03<06:15,  4.18it/s]
overall:  49%|████▊     | 1945/4000 [09:06<08:07,  4.22it/s]

train:  55%|█████▌    | 1945/3515 [09:03<06:12,  4.22it/s]
overall:  49%|████▊     | 1946/4000 [09:06<08:08,  4.20it/s]

train:  55%|█████▌    | 1946/3515 [09:04<06:13,  4.20it/s]
overall:  49%|████▊     | 1948/4000 [09:07<06:44,  5.08it/s]

train:  55%|█████▌    | 1948/3515 [09:04<05:08,  5.08it/s]
overall:  49%|████▊     | 1949/4000 [09:07<07:08,  4.78it/s]

train:  55%|█████▌    | 1949/3515 [09:04<05:27,  4.78it/s]
overall:  49%|████▉     | 1950/4000 [09:07<07:25,  4.60it/s]

train:  55%|█████▌    | 1950/3515 [09:04<05:40,  4.60it/s]
overall:  49%|████▉     | 1951/4000 [09:07<07:26,  4.59it/s]

train:  56%|█████▌    | 1951/3515 [09:05<05:41,  4.59it/s]
overall:  49%|████▉     | 1952/4000 [09:08<07:37,  4.48it/s]

train:  56%|█████▌    | 1952/3515 [09:05<05:49,  4.48it/s]
overall:  49%|████▉     | 1953/4000 [09:08<07:33,  4.51it/s]

train:  56%|█████▌    | 1953/3515 [09:05<05:46,  4.51it/s]
overall:  49%|████▉     | 1954/4000 [09:08<07:36,  4.48it/s]

train:  56%|█████▌    | 1954/3515 [09:05<05:48,  4.48it/s]
overall:  49%|████▉     | 1955/4000 [09:08<07:29,  4.55it/s]

train:  56%|█████▌    | 1955/3515 [09:06<05:43,  4.55it/s]
overall:  49%|████▉     | 1956/4000 [09:09<07:20,  4.64it/s]

train:  56%|█████▌    | 1956/3515 [09:06<05:35,  4.64it/s]
overall:  49%|████▉     | 1957/4000 [09:09<07:21,  4.63it/s]

train:  56%|█████▌    | 1957/3515 [09:06<05:36,  4.63it/s]
overall:  49%|████▉     | 1958/4000 [09:09<07:36,  4.47it/s]

train:  56%|█████▌    | 1958/3515 [09:06<05:48,  4.47it/s]
overall:  49%|████▉     | 1959/4000 [09:09<07:30,  4.53it/s]

train:  56%|█████▌    | 1959/3515 [09:06<05:43,  4.53it/s]
overall:  49%|████▉     | 1960/4000 [09:09<07:31,  4.52it/s]

train:  56%|█████▌    | 1960/3515 [09:07<05:44,  4.52it/s]
overall:  49%|████▉     | 1961/4000 [09:10<07:37,  4.45it/s]

train:  56%|█████▌    | 1961/3515 [09:07<05:48,  4.45it/s]
overall:  49%|████▉     | 1962/4000 [09:10<07:41,  4.42it/s]

train:  56%|█████▌    | 1962/3515 [09:07<05:51,  4.42it/s]
overall:  49%|████▉     | 1963/4000 [09:10<07:42,  4.40it/s]

train:  56%|█████▌    | 1963/3515 [09:07<05:52,  4.40it/s]
overall:  49%|████▉     | 1964/4000 [09:10<07:23,  4.59it/s]

train:  56%|█████▌    | 1964/3515 [09:08<05:38,  4.59it/s]
overall:  49%|████▉     | 1965/4000 [09:11<07:26,  4.55it/s]

train:  56%|█████▌    | 1965/3515 [09:08<05:40,  4.55it/s]
overall:  49%|████▉     | 1966/4000 [09:11<08:28,  4.00it/s]

train:  56%|█████▌    | 1966/3515 [09:08<06:27,  4.00it/s]
overall:  49%|████▉     | 1967/4000 [09:11<07:50,  4.32it/s]

train:  56%|█████▌    | 1967/3515 [09:08<05:58,  4.32it/s]
overall:  49%|████▉     | 1968/4000 [09:11<07:21,  4.61it/s]

train:  56%|█████▌    | 1968/3515 [09:08<05:35,  4.61it/s]
overall:  49%|████▉     | 1969/4000 [09:11<07:24,  4.57it/s]

train:  56%|█████▌    | 1969/3515 [09:09<05:38,  4.57it/s]
overall:  49%|████▉     | 1970/4000 [09:12<07:37,  4.44it/s]

train:  56%|█████▌    | 1970/3515 [09:09<05:47,  4.44it/s]
overall:  49%|████▉     | 1971/4000 [09:12<07:31,  4.49it/s]

train:  56%|█████▌    | 1971/3515 [09:09<05:43,  4.49it/s]
overall:  49%|████▉     | 1972/4000 [09:12<07:25,  4.55it/s]

train:  56%|█████▌    | 1972/3515 [09:09<05:39,  4.55it/s]
overall:  49%|████▉     | 1973/4000 [09:12<07:25,  4.54it/s]

train:  56%|█████▌    | 1973/3515 [09:10<05:39,  4.54it/s]
overall:  49%|████▉     | 1974/4000 [09:13<07:36,  4.43it/s]

train:  56%|█████▌    | 1974/3515 [09:10<05:47,  4.43it/s]
overall:  49%|████▉     | 1975/4000 [09:13<07:37,  4.43it/s]

train:  56%|█████▌    | 1975/3515 [09:10<05:47,  4.43it/s]
overall:  49%|████▉     | 1976/4000 [09:13<07:30,  4.49it/s]

train:  56%|█████▌    | 1976/3515 [09:10<05:42,  4.49it/s]
overall:  49%|████▉     | 1977/4000 [09:13<07:34,  4.45it/s]

train:  56%|█████▌    | 1977/3515 [09:10<05:45,  4.45it/s]
overall:  49%|████▉     | 1978/4000 [09:13<07:20,  4.59it/s]

train:  56%|█████▋    | 1978/3515 [09:11<05:35,  4.59it/s]
overall:  49%|████▉     | 1979/4000 [09:14<06:46,  4.97it/s]

train:  56%|█████▋    | 1979/3515 [09:11<05:09,  4.97it/s]
overall:  50%|████▉     | 1980/4000 [09:14<07:22,  4.57it/s]

train:  56%|█████▋    | 1980/3515 [09:11<05:36,  4.57it/s]
overall:  50%|████▉     | 1981/4000 [09:14<06:38,  5.06it/s]

train:  56%|█████▋    | 1981/3515 [09:11<05:03,  5.06it/s]
overall:  50%|████▉     | 1982/4000 [09:14<06:36,  5.09it/s]

train:  56%|█████▋    | 1982/3515 [09:11<05:01,  5.09it/s]
overall:  50%|████▉     | 1984/4000 [09:15<06:06,  5.51it/s]

train:  56%|█████▋    | 1984/3515 [09:12<04:38,  5.51it/s]
overall:  50%|████▉     | 1985/4000 [09:15<06:25,  5.23it/s]

train:  56%|█████▋    | 1985/3515 [09:12<04:52,  5.23it/s]
overall:  50%|████▉     | 1986/4000 [09:15<05:43,  5.86it/s]

train:  57%|█████▋    | 1986/3515 [09:12<04:20,  5.86it/s]
overall:  50%|████▉     | 1987/4000 [09:15<06:08,  5.46it/s]

train:  57%|█████▋    | 1987/3515 [09:12<04:39,  5.46it/s]
overall:  50%|████▉     | 1988/4000 [09:15<06:36,  5.08it/s]

train:  57%|█████▋    | 1988/3515 [09:13<05:00,  5.08it/s]
overall:  50%|████▉     | 1989/4000 [09:16<06:57,  4.82it/s]

train:  57%|█████▋    | 1989/3515 [09:13<05:16,  4.82it/s]
overall:  50%|████▉     | 1990/4000 [09:16<11:33,  2.90it/s]

train:  57%|█████▋    | 1990/3515 [09:13<08:46,  2.90it/s]
overall:  50%|████▉     | 1991/4000 [09:16<10:19,  3.24it/s]

train:  57%|█████▋    | 1991/3515 [09:14<07:50,  3.24it/s]
overall:  50%|████▉     | 1992/4000 [09:17<08:32,  3.92it/s]

train:  57%|█████▋    | 1992/3515 [09:14<06:28,  3.92it/s]
overall:  50%|████▉     | 1993/4000 [09:17<08:18,  4.03it/s]

train:  57%|█████▋    | 1993/3515 [09:14<06:18,  4.03it/s]
overall:  50%|████▉     | 1994/4000 [09:17<07:56,  4.21it/s]

train:  57%|█████▋    | 1994/3515 [09:14<06:01,  4.21it/s]
overall:  50%|████▉     | 1995/4000 [09:17<07:46,  4.30it/s]

train:  57%|█████▋    | 1995/3515 [09:14<05:53,  4.30it/s]
overall:  50%|████▉     | 1996/4000 [09:17<07:35,  4.40it/s]

train:  57%|█████▋    | 1996/3515 [09:15<05:45,  4.40it/s]
overall:  50%|████▉     | 1997/4000 [09:18<07:37,  4.38it/s]

train:  57%|█████▋    | 1997/3515 [09:15<05:46,  4.38it/s]
overall:  50%|████▉     | 1998/4000 [09:18<07:27,  4.48it/s]

train:  57%|█████▋    | 1998/3515 [09:15<05:38,  4.48it/s]
overall:  50%|████▉     | 1999/4000 [09:18<07:25,  4.49it/s]

train:  57%|█████▋    | 1999/3515 [09:15<05:37,  4.49it/s]dev loss: 2.387066125869751
dev per: 0.6038449531737773
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.1422743797302246
train per: 0.5745825649834542
train loss: 2.1224098205566406
train per: 0.5773412947831552
train loss: 2.187833786010742
train per: 0.5758480758708736
train loss: 2.136770009994507
train per: 0.5733039745805228
train loss: 2.176542043685913
train per: 0.5717185697808536
train loss: 2.153366804122925
train per: 0.5663762413340828
train loss: 2.127246618270874
train per: 0.571080590826639
train loss: 2.1385180950164795
train per: 0.566760436027528
train loss: 2.1373610496520996
train per: 0.5704923502216291
train loss: 2.1343085765838623
train per: 0.5702362944030045
train loss: 2.1580450534820557
train per: 0.5701040201120926
train loss: 2.1087279319763184
train per: 0.5633061204772716
train loss: 2.1382997035980225
train per: 0.5658567451278157
train loss: 2.1133499145507812
train per: 0.5677707501109631
train loss: 2.121750831604004
train per: 0.569160180647641
train loss: 2.1758151054382324
train per: 0.5738567184532216
train loss: 2.145075798034668
train per: 0.5711523148674781
train loss: 2.1070873737335205
train per: 0.5692819037510823
train loss: 2.1408982276916504
train per: 0.5709877343567669
train loss: 2.12434458732605
train per: 0.5642338291248703
train loss: 2.1037583351135254
train per: 0.5627683324746694
train loss: 2.113853693008423
train per: 0.5635608743436317
train loss: 2.089648485183716
train per: 0.5670772083167792
train loss: 2.1425395011901855
train per: 0.5674520235607068
train loss: 2.185955047607422
train per: 0.585116979665217
train loss: 2.1437501907348633
train per: 0.568986905582357
train loss: 2.108213424682617
train per: 0.5645771413131586
train loss: 2.181381940841675
train per: 0.5796758547261327
train loss: 2.1510682106018066
train per: 0.5692408407565874
train loss: 2.1623611450195312
train per: 0.5747913229754019
train loss: 2.1338419914245605
train per: 0.5692445812491984
train loss: 2.1562962532043457
train per: 0.5771746796040952
train loss: 2.1402556896209717
train per: 0.570710332103321
train loss: 2.145146131515503
train per: 0.5748057656920875
train loss: 2.100632905960083
train per: 0.5631773309840458
train loss: 2.1003880500793457
train per: 0.5754577539139091
train loss: 2.174679756164551
train per: 0.5867222340199618
train loss: 2.1310551166534424
train per: 0.5728962453780678
train loss: 2.1134345531463623
train per: 0.5722570106180234
train loss: 2.169522762298584
train per: 0.5719402847106674
train loss: 2.1519758701324463
train per: 0.5662680393831767
train loss: 2.1488137245178223
train per: 0.5716710384199969
train loss: 2.114661931991577
train per: 0.5664459271061542
train loss: 2.083108425140381
train per: 0.5636084240225715
train loss: 2.1228885650634766
train per: 0.5662418459967036
train loss: 2.132338285446167
train per: 0.5716351174060885
train loss: 2.111693859100342
train per: 0.5646111936602278
train loss: 2.1643548011779785
train per: 0.5753488156491912
train loss: 2.0897350311279297
train per: 0.5579095372003241
train loss: 2.1157164573669434
train per: 0.5592399854774295
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 193/2703 [00:00<00:01, 1897.39it/s]


word -> phonemes:  14%|█▍        | 383/2703 [00:00<00:01, 1835.78it/s]


word -> phonemes:  25%|██▌       | 685/2703 [00:00<00:00, 2362.09it/s]


word -> phonemes:  36%|███▌      | 966/2703 [00:00<00:00, 2534.23it/s]


word -> phonemes:  46%|████▌     | 1232/2703 [00:00<00:00, 2576.46it/s]


word -> phonemes:  55%|█████▌    | 1491/2703 [00:00<00:00, 2472.43it/s]


word -> phonemes:  65%|██████▌   | 1769/2703 [00:00<00:00, 2567.05it/s]


word -> phonemes:  75%|███████▍  | 2027/2703 [00:00<00:00, 2329.46it/s]


word -> phonemes:  86%|████████▌ | 2324/2703 [00:00<00:00, 2512.65it/s]


word -> phonemes:  97%|█████████▋| 2630/2703 [00:01<00:00, 2671.32it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2501.91it/s]



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


dev:   0%|          | 1/2703 [00:01<50:17,  1.12s/it]


dev:   0%|          | 3/2703 [00:01<15:36,  2.88it/s]


dev:   0%|          | 5/2703 [00:01<09:20,  4.81it/s]


dev:   0%|          | 7/2703 [00:01<06:48,  6.59it/s]


dev:   0%|          | 9/2703 [00:01<05:35,  8.02it/s]


dev:   0%|          | 11/2703 [00:01<04:36,  9.74it/s]


dev:   0%|          | 13/2703 [00:02<04:11, 10.72it/s]


dev:   1%|          | 15/2703 [00:02<03:49, 11.69it/s]


dev:   1%|          | 17/2703 [00:02<03:36, 12.42it/s]


dev:   1%|          | 19/2703 [00:02<03:28, 12.85it/s]


dev:   1%|          | 21/2703 [00:02<03:18, 13.49it/s]


dev:   1%|          | 23/2703 [00:02<03:18, 13.50it/s]


dev:   1%|          | 25/2703 [00:02<03:10, 14.08it/s]


dev:   1%|          | 27/2703 [00:02<03:03, 14.56it/s]


dev:   1%|          | 29/2703 [00:03<03:08, 14.17it/s]


dev:   1%|          | 31/2703 [00:03<03:10, 14.06it/s]


dev:   1%|          | 33/2703 [00:03<03:03, 14.54it/s]


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train:  84%|████████▎ | 2938/3515 [14:48<01:33,  6.19it/s]
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train:  84%|████████▎ | 2939/3515 [14:48<01:43,  5.58it/s]
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train:  84%|████████▎ | 2943/3515 [14:49<01:55,  4.95it/s]
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train:  84%|████████▍ | 2945/3515 [14:50<02:01,  4.70it/s]
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train:  84%|████████▍ | 2946/3515 [14:50<01:55,  4.95it/s]
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train:  84%|████████▍ | 2947/3515 [14:50<01:58,  4.78it/s]
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train:  84%|████████▍ | 2951/3515 [14:51<02:36,  3.61it/s]
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train:  84%|████████▍ | 2952/3515 [14:51<02:14,  4.18it/s]
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train:  84%|████████▍ | 2953/3515 [14:51<02:11,  4.29it/s]
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train:  84%|████████▍ | 2954/3515 [14:52<02:08,  4.38it/s]
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train:  84%|████████▍ | 2955/3515 [14:52<02:17,  4.08it/s]
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train:  84%|████████▍ | 2959/3515 [14:53<02:03,  4.49it/s]
overall:  74%|███████▍  | 2960/4000 [14:56<03:53,  4.45it/s]

train:  84%|████████▍ | 2960/3515 [14:53<02:04,  4.45it/s]
overall:  74%|███████▍  | 2961/4000 [14:56<03:24,  5.08it/s]

train:  84%|████████▍ | 2961/3515 [14:53<01:49,  5.08it/s]
overall:  74%|███████▍  | 2962/4000 [14:56<03:32,  4.89it/s]

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overall:  74%|███████▍  | 2963/4000 [14:56<03:39,  4.72it/s]

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overall:  74%|███████▍  | 2977/4000 [15:00<04:07,  4.14it/s]

train:  85%|████████▍ | 2977/3515 [14:57<02:10,  4.14it/s]
overall:  74%|███████▍  | 2978/4000 [15:00<04:03,  4.20it/s]

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train:  85%|████████▍ | 2981/3515 [14:58<01:46,  5.01it/s]
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train:  85%|████████▍ | 2983/3515 [14:58<01:33,  5.67it/s]
overall:  75%|███████▍  | 2984/4000 [15:01<03:05,  5.48it/s]

train:  85%|████████▍ | 2984/3515 [14:58<01:36,  5.48it/s]
overall:  75%|███████▍  | 2985/4000 [15:01<03:12,  5.27it/s]

train:  85%|████████▍ | 2985/3515 [14:58<01:40,  5.27it/s]
overall:  75%|███████▍  | 2986/4000 [15:01<03:17,  5.12it/s]

train:  85%|████████▍ | 2986/3515 [14:59<01:43,  5.13it/s]
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train:  85%|████████▌ | 2988/3515 [14:59<01:49,  4.83it/s]
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overall:  75%|███████▍  | 2991/4000 [15:02<03:25,  4.91it/s]

train:  85%|████████▌ | 2991/3515 [15:00<01:46,  4.91it/s]
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train:  85%|████████▌ | 2994/3515 [15:00<01:48,  4.80it/s]
overall:  75%|███████▍  | 2995/4000 [15:03<03:41,  4.53it/s]

train:  85%|████████▌ | 2995/3515 [15:01<01:54,  4.53it/s]
overall:  75%|███████▍  | 2996/4000 [15:04<03:43,  4.50it/s]

train:  85%|████████▌ | 2996/3515 [15:01<01:55,  4.50it/s]
overall:  75%|███████▍  | 2997/4000 [15:04<03:45,  4.45it/s]

train:  85%|████████▌ | 2997/3515 [15:01<01:56,  4.45it/s]
overall:  75%|███████▍  | 2998/4000 [15:04<05:11,  3.22it/s]

train:  85%|████████▌ | 2998/3515 [15:02<02:40,  3.22it/s]
overall:  75%|███████▍  | 2999/4000 [15:05<04:44,  3.52it/s]

train:  85%|████████▌ | 2999/3515 [15:02<02:26,  3.52it/s]dev loss: 2.379047155380249
dev per: 0.6060665972944849
train loss: 2.068664312362671
train per: 0.5616973156350126
train loss: 2.078125238418579
train per: 0.5708778499834783
train loss: 2.111041307449341
train per: 0.5647350751715078
train loss: 2.1351990699768066
train per: 0.5734475273688184
train loss: 2.0901589393615723
train per: 0.5591448812612253
train loss: 2.09299373626709
train per: 0.5591656914710539
train loss: 2.1312103271484375
train per: 0.5687281596660334
train loss: 2.147042751312256
train per: 0.5727120669056153
train loss: 2.072852373123169
train per: 0.5576108650148469
train loss: 2.098973512649536
train per: 0.5623645930052615
train loss: 2.1142396926879883
train per: 0.5676488670296855
train loss: 2.1108219623565674
train per: 0.5634305527228227
train loss: 2.1675562858581543
train per: 0.5785660821214713
train loss: 2.127289295196533
train per: 0.5664199927210967
train loss: 2.076044797897339
train per: 0.5644539007092199
train loss: 2.1333956718444824
train per: 0.5655887422500064
train loss: 2.134286642074585
train per: 0.5682294666513075
train loss: 2.103849172592163
train per: 0.5656932440034778
train loss: 2.0966246128082275
train per: 0.5613509335236057
train loss: 2.1111111640930176
train per: 0.5631365875041902
train loss: 2.0980257987976074
train per: 0.5664747587824511
train loss: 2.164355516433716
train per: 0.575045975385486
train loss: 2.1719985008239746
train per: 0.5716676466597314
train loss: 2.114532470703125
train per: 0.5629691798386721
train loss: 2.092247486114502
train per: 0.5621515866209262
train loss: 2.085179328918457
train per: 0.5602601982462829
train loss: 2.071894407272339
train per: 0.5582131135928978
train loss: 2.0905070304870605
train per: 0.5606503909060386
train loss: 2.0871739387512207
train per: 0.5627694900133816
train loss: 2.152658462524414
train per: 0.5687055023542524
train loss: 2.0716183185577393
train per: 0.5614425645592164
train loss: 2.083014726638794
train per: 0.5648963362681056
train loss: 2.0948855876922607
train per: 0.5649498951293405
train loss: 2.0943315029144287
train per: 0.5693877039524801
train loss: 2.121255874633789
train per: 0.5659602302459446
train loss: 2.0919899940490723
train per: 0.565846798654387
train loss: 2.1305835247039795
train per: 0.5716681050425348
train loss: 2.085996150970459
train per: 0.5644725618424794
train loss: 2.101262092590332
train per: 0.5648069579974544
train loss: 2.0782885551452637
train per: 0.5604882074881825
train loss: 2.055969715118408
train per: 0.558171331974345
train loss: 2.109764814376831
train per: 0.57408573377407
train loss: 2.085986614227295
train per: 0.5690976580233397
train loss: 2.152895450592041
train per: 0.5674696323981859
train loss: 2.0904903411865234
train per: 0.5651431233500699
train loss: 2.1184051036834717
train per: 0.563254593175853
train loss: 2.1073813438415527
train per: 0.5653765238191303
train loss: 2.1399099826812744
train per: 0.5702062159042035
train loss: 2.0879592895507812
train per: 0.5628739491555376
train loss: 2.1400933265686035
train per: 0.5737745339777098
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 217/2703 [00:00<00:01, 2165.85it/s]


word -> phonemes:  18%|█▊        | 476/2703 [00:00<00:00, 2412.95it/s]


word -> phonemes:  27%|██▋       | 734/2703 [00:00<00:00, 2488.93it/s]


word -> phonemes:  36%|███▋      | 983/2703 [00:00<00:00, 2152.69it/s]


word -> phonemes:  45%|████▍     | 1207/2703 [00:00<00:00, 2180.35it/s]


word -> phonemes:  53%|█████▎    | 1429/2703 [00:00<00:00, 2096.37it/s]


word -> phonemes:  61%|██████    | 1642/2703 [00:00<00:00, 2096.55it/s]


word -> phonemes:  69%|██████▊   | 1854/2703 [00:00<00:00, 1919.49it/s]


word -> phonemes:  76%|███████▌  | 2050/2703 [00:00<00:00, 1880.64it/s]


word -> phonemes:  84%|████████▎ | 2259/2703 [00:01<00:00, 1938.67it/s]


word -> phonemes:  93%|█████████▎| 2526/2703 [00:01<00:00, 2146.83it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2094.92it/s]



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


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dev:   1%|▏         | 34/2703 [00:03<03:01, 14.68it/s]


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dev:   2%|▏         | 42/2703 [00:03<02:52, 15.41it/s]


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overall:  75%|███████▍  | 2999/4000 [17:16<04:44,  3.52it/s]

train:  85%|████████▌ | 2999/3515 [17:13<02:26,  3.52it/s]
                                                            

                                                          

overall:  75%|███████▍  | 2999/4000 [17:16<04:44,  3.52it/s]

train:  85%|████████▌ | 2999/3515 [17:13<02:26,  3.52it/s]
overall:  75%|███████▌  | 3000/4000 [17:16<10:58:10, 39.49s/it]

train:  85%|████████▌ | 3000/3515 [17:13<5:38:57, 39.49s/it]
overall:  75%|███████▌  | 3001/4000 [17:16<7:41:21, 27.71s/it] 

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train: 100%|██████████| 3515/3515 [19:03<00:00,  4.90it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [19:03<00:00,  3.07it/s]
dev loss: 2.369856595993042
dev per: 0.6037096774193549
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 2.054396152496338
train per: 0.5557641757416447
train loss: 2.097842216491699
train per: 0.5701380928988592
train loss: 2.0713932514190674
train per: 0.5597741433021807
train loss: 2.071720838546753
train per: 0.5564796612732497
train loss: 2.1036269664764404
train per: 0.5584301843917912
train loss: 2.0926172733306885
train per: 0.5623032395653499
train loss: 2.065328598022461
train per: 0.5580768649574371
train loss: 2.124842643737793
train per: 0.5647799044211234
train loss: 2.1285815238952637
train per: 0.5668152279461196
train loss: 2.0791356563568115
train per: 0.558817935428653
train loss: 2.103997230529785
train per: 0.5638446954084577
train loss: 2.151538372039795
train per: 0.5720242161550965
train loss: 2.0581977367401123
train per: 0.5601710907032331
train loss: 2.0798816680908203
train per: 0.5578256707217409
train loss: 2.102156162261963
train per: 0.568786183887744
train loss: 2.127556324005127
train per: 0.5650201727792847
train loss: 2.135054349899292
train per: 0.5653258282994692
train loss: 2.109482526779175
train per: 0.5681484972248403
train loss: 2.1159310340881348
train per: 0.5690636862083509
train loss: 2.1023335456848145
train per: 0.5646090311362277
train loss: 2.127560615539551
train per: 0.5758542893303252
train loss: 2.1407418251037598
train per: 0.5680904587774579
train loss: 2.1442675590515137
train per: 0.5688020820897304
train loss: 2.1159424781799316
train per: 0.570491884402217
train loss: 2.1327805519104004
train per: 0.5646803183825787
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 239/3515 [00:00<00:01, 2364.47it/s]

word -> phonemes:  14%|█▎        | 476/3515 [00:00<00:01, 2315.08it/s]

word -> phonemes:  21%|██▏       | 755/3515 [00:00<00:01, 2524.40it/s]

word -> phonemes:  29%|██▊       | 1008/3515 [00:00<00:01, 2494.98it/s]

word -> phonemes:  36%|███▌      | 1259/3515 [00:00<00:00, 2498.83it/s]

word -> phonemes:  43%|████▎     | 1522/3515 [00:00<00:00, 2541.52it/s]

word -> phonemes:  51%|█████     | 1777/3515 [00:00<00:00, 2509.62it/s]

word -> phonemes:  58%|█████▊    | 2040/3515 [00:00<00:00, 2544.80it/s]

word -> phonemes:  65%|██████▌   | 2295/3515 [00:00<00:00, 2446.33it/s]

word -> phonemes:  72%|███████▏  | 2541/3515 [00:01<00:00, 2441.85it/s]

word -> phonemes:  80%|████████  | 2813/3515 [00:01<00:00, 2523.98it/s]

word -> phonemes:  87%|████████▋ | 3066/3515 [00:01<00:00, 2432.40it/s]

word -> phonemes:  94%|█████████▍| 3321/3515 [00:01<00:00, 2463.49it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2487.12it/s]


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overall:  88%|████████▊ | 3518/4000 [19:10<06:19,  1.27it/s]

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overall:  88%|████████▊ | 3528/4000 [19:12<01:47,  4.40it/s]

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overall:  88%|████████▊ | 3529/4000 [19:13<01:46,  4.43it/s]

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overall:  88%|████████▊ | 3530/4000 [19:13<01:40,  4.69it/s]

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overall:  88%|████████▊ | 3531/4000 [19:13<01:38,  4.76it/s]

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overall:  88%|████████▊ | 3532/4000 [19:13<01:39,  4.71it/s]

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overall:  88%|████████▊ | 3533/4000 [19:13<01:34,  4.97it/s]

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overall:  88%|████████▊ | 3534/4000 [19:14<01:36,  4.83it/s]

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overall:  88%|████████▊ | 3535/4000 [19:14<01:44,  4.47it/s]

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overall:  88%|████████▊ | 3536/4000 [19:14<01:42,  4.55it/s]

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overall:  88%|████████▊ | 3538/4000 [19:14<01:26,  5.32it/s]

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overall:  88%|████████▊ | 3539/4000 [19:15<01:29,  5.15it/s]

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overall:  88%|████████▊ | 3540/4000 [19:15<01:46,  4.31it/s]

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overall:  89%|████████▊ | 3541/4000 [19:15<01:45,  4.36it/s]

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overall:  89%|████████▊ | 3542/4000 [19:15<01:43,  4.42it/s]

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overall:  89%|████████▊ | 3543/4000 [19:15<01:28,  5.17it/s]

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overall:  89%|████████▊ | 3544/4000 [19:16<01:31,  4.99it/s]

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overall:  89%|████████▊ | 3546/4000 [19:16<01:21,  5.55it/s]

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overall:  90%|█████████ | 3615/4000 [19:31<01:33,  4.12it/s]

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overall:  90%|█████████ | 3616/4000 [19:31<01:31,  4.21it/s]

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overall:  91%|█████████ | 3622/4000 [19:32<01:23,  4.53it/s]

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overall:  91%|█████████ | 3624/4000 [19:33<01:34,  3.99it/s]

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overall:  91%|█████████ | 3625/4000 [19:33<01:31,  4.12it/s]

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overall:  91%|█████████ | 3626/4000 [19:33<01:33,  3.99it/s]

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overall:  91%|█████████ | 3627/4000 [19:34<01:29,  4.15it/s]

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overall:  91%|█████████ | 3629/4000 [19:34<01:13,  5.02it/s]

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overall:  91%|█████████ | 3630/4000 [19:34<01:14,  4.95it/s]

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overall:  91%|█████████ | 3631/4000 [19:34<01:13,  5.00it/s]

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overall:  91%|█████████ | 3640/4000 [19:36<01:24,  4.24it/s]

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overall:  91%|█████████▏| 3650/4000 [19:39<01:16,  4.60it/s]

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overall:  91%|█████████▏| 3651/4000 [19:39<01:07,  5.17it/s]

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overall:  99%|█████████▉| 3971/4000 [20:48<00:06,  4.56it/s]

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overall:  99%|█████████▉| 3972/4000 [20:48<00:07,  3.93it/s]

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overall:  99%|█████████▉| 3973/4000 [20:48<00:05,  4.55it/s]

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overall: 100%|█████████▉| 3993/4000 [20:53<00:01,  5.17it/s]

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overall: 100%|█████████▉| 3994/4000 [20:53<00:01,  5.36it/s]

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overall: 100%|█████████▉| 3996/4000 [20:53<00:00,  5.20it/s]

train:  14%|█▎        | 481/3515 [01:44<09:43,  5.20it/s]
overall: 100%|█████████▉| 3997/4000 [20:53<00:00,  5.00it/s]

train:  14%|█▎        | 482/3515 [01:44<10:06,  5.00it/s]
overall: 100%|█████████▉| 3998/4000 [20:54<00:00,  4.41it/s]

train:  14%|█▎        | 483/3515 [01:45<11:27,  4.41it/s]
overall: 100%|█████████▉| 3999/4000 [20:54<00:00,  4.46it/s]

train:  14%|█▍        | 484/3515 [01:45<11:20,  4.46it/s]train loss: 2.108384370803833
train per: 0.5610188373506177
train loss: 2.083512306213379
train per: 0.567805247371946
train loss: 2.1092913150787354
train per: 0.5652572359544842
train loss: 2.146627426147461
train per: 0.5687943262411348
train loss: 2.118363618850708
train per: 0.569997717879149
train loss: 2.1146135330200195
train per: 0.5638831001290067
train loss: 2.1216001510620117
train per: 0.5653930005737234
train loss: 2.0924901962280273
train per: 0.5639389453264587
train loss: 2.0939865112304688
train per: 0.5704350927246791
train loss: 2.112640142440796
train per: 0.5735711704269709
train loss: 2.1215426921844482
train per: 0.5681268056531584
train loss: 2.1562767028808594
train per: 0.5718875502008032
train loss: 2.0790975093841553
train per: 0.5574543163201008
train loss: 2.1108736991882324
train per: 0.5608603722362892
train loss: 2.1510910987854004
train per: 0.575656287763865
train loss: 2.0938427448272705
train per: 0.5640185848122476
train loss: 2.0799553394317627
train per: 0.5627801586128762
train loss: 2.102126121520996
train per: 0.5655749393924989
train loss: 2.101788282394409
train per: 0.5628361375635269
train loss: 2.085469961166382
train per: 0.5596448183198972
train loss: 2.0970261096954346
train per: 0.562067562067562
train loss: 2.106698513031006
train per: 0.5612839179351423
train loss: 2.119097948074341
train per: 0.5646671909630371
train loss: 2.0864381790161133
train per: 0.5600807235946313
train loss: 2.096412181854248
train per: 0.5573388814583643
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▊         | 231/2703 [00:00<00:01, 2307.92it/s]


word -> phonemes:  17%|█▋        | 462/2703 [00:00<00:01, 2190.25it/s]


word -> phonemes:  26%|██▌       | 706/2703 [00:00<00:00, 2300.49it/s]


word -> phonemes:  35%|███▌      | 948/2703 [00:00<00:00, 2344.32it/s]


word -> phonemes:  45%|████▍     | 1211/2703 [00:00<00:00, 2445.66it/s]


word -> phonemes:  55%|█████▍    | 1485/2703 [00:00<00:00, 2526.81it/s]


word -> phonemes:  64%|██████▍   | 1738/2703 [00:00<00:00, 2365.92it/s]


word -> phonemes:  73%|███████▎  | 1977/2703 [00:00<00:00, 2269.91it/s]


word -> phonemes:  82%|████████▏ | 2206/2703 [00:00<00:00, 2123.18it/s]


word -> phonemes:  90%|████████▉ | 2421/2703 [00:01<00:00, 2058.61it/s]


word -> phonemes:  98%|█████████▊| 2638/2703 [00:01<00:00, 2077.19it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2205.25it/s]



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


dev:   0%|          | 1/2703 [00:01<57:31,  1.28s/it]


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dev:   1%|▏         | 34/2703 [00:03<03:05, 14.39it/s]


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dev:   2%|▏         | 46/2703 [00:04<02:47, 15.87it/s]


dev:   2%|▏         | 48/2703 [00:04<02:44, 16.11it/s]


dev:   2%|▏         | 50/2703 [00:04<02:41, 16.39it/s]


dev:   2%|▏         | 52/2703 [00:04<02:43, 16.23it/s]


dev:   2%|▏         | 54/2703 [00:04<02:38, 16.73it/s]


dev:   2%|▏         | 57/2703 [00:04<02:25, 18.19it/s]


dev:   2%|▏         | 59/2703 [00:05<02:29, 17.68it/s]


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overall: 100%|█████████▉| 3999/4000 [23:01<00:00,  4.46it/s]

train:  14%|█▍        | 484/3515 [03:52<11:20,  4.46it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [23:01<00:00,  4.46it/s]

train:  14%|█▍        | 484/3515 [03:52<11:20,  4.46it/s]
overall: 100%|██████████| 4000/4000 [23:01<00:00, 34.71s/it]

train:  14%|█▍        | 485/3515 [03:52<29:12:59, 34.71s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:53<24:18,  2.08it/s]   

overall: 100%|██████████| 4000/4000 [23:02<00:00,  2.89it/s]
dev loss: 2.3929288387298584
dev per: 0.6104162330905307
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt