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


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


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

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word -> phonemes:  22%|██▏       | 788/3515 [00:00<00:00, 4087.55it/s]

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word -> phonemes:  84%|████████▍ | 2964/3515 [00:00<00:00, 4264.85it/s]

word -> phonemes:  96%|█████████▋| 3391/3515 [00:00<00:00, 4210.63it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4174.79it/s]


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train:   5%|▍         | 159/3515 [00:34<11:13,  4.98it/s]
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train:   5%|▍         | 163/3515 [00:35<11:38,  4.80it/s]
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train:   5%|▍         | 164/3515 [00:35<11:40,  4.78it/s]
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train:   5%|▍         | 165/3515 [00:35<11:36,  4.81it/s]
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train:   5%|▌         | 181/3515 [00:39<12:01,  4.62it/s]
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train:   5%|▌         | 183/3515 [00:39<11:48,  4.70it/s]
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train:   5%|▌         | 184/3515 [00:39<10:22,  5.35it/s]
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train:   5%|▌         | 185/3515 [00:40<10:31,  5.27it/s]
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train:   5%|▌         | 186/3515 [00:40<11:26,  4.85it/s]
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train:   5%|▌         | 187/3515 [00:40<11:25,  4.85it/s]
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train:   5%|▌         | 188/3515 [00:40<11:16,  4.92it/s]
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train:   5%|▌         | 190/3515 [00:41<11:36,  4.77it/s]
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train:   5%|▌         | 191/3515 [00:41<11:28,  4.83it/s]
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overall:  11%|█         | 422/4000 [01:33<12:52,  4.63it/s]

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overall:  11%|█         | 423/4000 [01:33<12:46,  4.67it/s]

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overall:  14%|█▎        | 542/4000 [01:59<12:11,  4.72it/s]

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overall:  14%|█▎        | 545/4000 [02:00<12:30,  4.60it/s]

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overall:  14%|█▎        | 547/4000 [02:00<12:11,  4.72it/s]

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overall:  14%|█▎        | 548/4000 [02:00<12:04,  4.77it/s]

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overall:  14%|█▎        | 549/4000 [02:01<12:17,  4.68it/s]

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overall:  14%|█▍        | 550/4000 [02:01<12:13,  4.70it/s]

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overall:  14%|█▍        | 551/4000 [02:01<12:19,  4.66it/s]

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overall:  14%|█▍        | 553/4000 [02:01<12:24,  4.63it/s]

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overall:  14%|█▍        | 554/4000 [02:02<14:47,  3.88it/s]

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overall:  14%|█▍        | 555/4000 [02:02<14:06,  4.07it/s]

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overall:  14%|█▍        | 561/4000 [02:03<13:19,  4.30it/s]

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overall:  14%|█▍        | 566/4000 [02:04<12:15,  4.67it/s]

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overall:  14%|█▍        | 568/4000 [02:05<11:24,  5.01it/s]

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overall:  14%|█▍        | 569/4000 [02:05<11:41,  4.89it/s]

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train:  28%|██▊       | 994/3515 [03:35<09:44,  4.31it/s]
overall:  25%|██▍       | 995/4000 [03:38<11:28,  4.36it/s]

train:  28%|██▊       | 995/3515 [03:35<09:37,  4.36it/s]
overall:  25%|██▍       | 996/4000 [03:38<10:41,  4.68it/s]

train:  28%|██▊       | 996/3515 [03:36<08:58,  4.68it/s]
overall:  25%|██▍       | 997/4000 [03:38<10:47,  4.64it/s]

train:  28%|██▊       | 997/3515 [03:36<09:02,  4.64it/s]
overall:  25%|██▍       | 998/4000 [03:38<11:01,  4.54it/s]

train:  28%|██▊       | 998/3515 [03:36<09:14,  4.54it/s]
overall:  25%|██▍       | 999/4000 [03:38<10:49,  4.62it/s]

train:  28%|██▊       | 999/3515 [03:36<09:04,  4.62it/s]train loss: 3.8666560649871826
train per: 0.866545230505478
train loss: 2.5024046897888184
train per: 0.6327971151632951
train loss: 2.229846715927124
train per: 0.5856501310905173
train loss: 2.1684327125549316
train per: 0.5686928620540376
train loss: 2.138469934463501
train per: 0.5623578028509078
train loss: 2.082845449447632
train per: 0.5603656897015327
train loss: 2.033148765563965
train per: 0.541979705337106
train loss: 2.110719680786133
train per: 0.5523812054852769
train loss: 2.0152335166931152
train per: 0.5376867305727215
train loss: 1.9882640838623047
train per: 0.5309125787887092
train loss: 1.9920663833618164
train per: 0.5416655696269187
train loss: 2.003664493560791
train per: 0.5331235754632841
train loss: 2.0585858821868896
train per: 0.5434659759830469
train loss: 2.0160117149353027
train per: 0.5342993437996909
train loss: 1.9389832019805908
train per: 0.5170586988768807
train loss: 1.9598033428192139
train per: 0.5266402978129362
train loss: 1.9387233257293701
train per: 0.5221848225214198
train loss: 1.9310903549194336
train per: 0.5200648787717778
train loss: 1.987961769104004
train per: 0.525988155901391
train loss: 1.9143739938735962
train per: 0.5152812043703741
train loss: 1.9177910089492798
train per: 0.517127426077092
train loss: 1.9581142663955688
train per: 0.5254024460684598
train loss: 1.9854027032852173
train per: 0.5233870613553516
train loss: 1.969632863998413
train per: 0.5199951963492254
train loss: 1.9367988109588623
train per: 0.5156270899282179
train loss: 1.8792989253997803
train per: 0.5071400903808909
train loss: 1.9366121292114258
train per: 0.514047712933754
train loss: 1.9181058406829834
train per: 0.5124051671109289
train loss: 1.9094432592391968
train per: 0.5099602635156332
train loss: 1.9204604625701904
train per: 0.5156810994602563
train loss: 1.9542385339736938
train per: 0.5190815860892956
train loss: 1.8987890481948853
train per: 0.5075932004115025
train loss: 1.9312870502471924
train per: 0.5155836817719517
train loss: 1.915380835533142
train per: 0.5149420508289589
train loss: 1.8962886333465576
train per: 0.5107943084555416
train loss: 1.8871961832046509
train per: 0.5155208698702209
train loss: 1.9628251791000366
train per: 0.5152922412984332
train loss: 1.9538503885269165
train per: 0.5149192576524464
train loss: 1.9276800155639648
train per: 0.5123605445520224
train loss: 1.9334900379180908
train per: 0.5141202027516293
train loss: 1.8840757608413696
train per: 0.5101403230076781
train loss: 1.8912220001220703
train per: 0.5105412638593042
train loss: 1.9162518978118896
train per: 0.5069916613213599
train loss: 1.9306299686431885
train per: 0.514059776155226
train loss: 1.880139708518982
train per: 0.5022076447584206
train loss: 1.9014060497283936
train per: 0.5089849108367627
train loss: 1.917184829711914
train per: 0.5177869700103412
train loss: 1.9156100749969482
train per: 0.5141059906589995
train loss: 1.8958858251571655
train per: 0.5104727289671722
train loss: 1.862331748008728
train per: 0.5019393729772463
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▌        | 409/2703 [00:00<00:00, 4089.82it/s]


word -> phonemes:  30%|███       | 818/2703 [00:00<00:00, 3752.42it/s]


word -> phonemes:  46%|████▌     | 1235/2703 [00:00<00:00, 3825.11it/s]


word -> phonemes:  64%|██████▍   | 1742/2703 [00:00<00:00, 4242.59it/s]


word -> phonemes:  84%|████████▍ | 2275/2703 [00:00<00:00, 4619.28it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4088.99it/s]



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overall:  48%|████▊     | 1932/4000 [09:00<08:45,  3.93it/s]

train:  55%|█████▍    | 1932/3515 [08:57<06:42,  3.93it/s]
overall:  48%|████▊     | 1933/4000 [09:00<08:35,  4.01it/s]

train:  55%|█████▍    | 1933/3515 [08:58<06:34,  4.01it/s]
overall:  48%|████▊     | 1934/4000 [09:00<08:18,  4.14it/s]

train:  55%|█████▌    | 1934/3515 [08:58<06:21,  4.15it/s]
overall:  48%|████▊     | 1935/4000 [09:00<08:10,  4.21it/s]

train:  55%|█████▌    | 1935/3515 [08:58<06:15,  4.21it/s]
overall:  48%|████▊     | 1936/4000 [09:00<06:58,  4.94it/s]

train:  55%|█████▌    | 1936/3515 [08:58<05:19,  4.94it/s]
overall:  48%|████▊     | 1937/4000 [09:01<06:53,  4.99it/s]

train:  55%|█████▌    | 1937/3515 [08:58<05:15,  4.99it/s]
overall:  48%|████▊     | 1938/4000 [09:01<06:57,  4.93it/s]

train:  55%|█████▌    | 1938/3515 [08:59<05:19,  4.93it/s]
overall:  48%|████▊     | 1939/4000 [09:01<07:11,  4.78it/s]

train:  55%|█████▌    | 1939/3515 [08:59<05:29,  4.78it/s]
overall:  48%|████▊     | 1940/4000 [09:01<07:23,  4.65it/s]

train:  55%|█████▌    | 1940/3515 [08:59<05:38,  4.65it/s]
overall:  49%|████▊     | 1941/4000 [09:01<07:06,  4.83it/s]

train:  55%|█████▌    | 1941/3515 [08:59<05:25,  4.83it/s]
overall:  49%|████▊     | 1942/4000 [09:02<07:15,  4.72it/s]

train:  55%|█████▌    | 1942/3515 [09:00<05:32,  4.72it/s]
overall:  49%|████▊     | 1943/4000 [09:02<07:24,  4.63it/s]

train:  55%|█████▌    | 1943/3515 [09:00<05:39,  4.63it/s]
overall:  49%|████▊     | 1945/4000 [09:02<06:26,  5.32it/s]

train:  55%|█████▌    | 1945/3515 [09:00<04:55,  5.32it/s]
overall:  49%|████▊     | 1946/4000 [09:02<06:41,  5.11it/s]

train:  55%|█████▌    | 1946/3515 [09:00<05:06,  5.11it/s]
overall:  49%|████▊     | 1947/4000 [09:03<05:56,  5.77it/s]

train:  55%|█████▌    | 1947/3515 [09:00<04:32,  5.76it/s]
overall:  49%|████▊     | 1948/4000 [09:03<06:22,  5.37it/s]

train:  55%|█████▌    | 1948/3515 [09:01<04:51,  5.37it/s]
overall:  49%|████▊     | 1949/4000 [09:03<06:37,  5.15it/s]

train:  55%|█████▌    | 1949/3515 [09:01<05:03,  5.16it/s]
overall:  49%|████▉     | 1950/4000 [09:03<06:58,  4.90it/s]

train:  55%|█████▌    | 1950/3515 [09:01<05:19,  4.90it/s]
overall:  49%|████▉     | 1951/4000 [09:03<07:06,  4.80it/s]

train:  56%|█████▌    | 1951/3515 [09:01<05:25,  4.80it/s]
overall:  49%|████▉     | 1952/4000 [09:04<07:11,  4.75it/s]

train:  56%|█████▌    | 1952/3515 [09:02<05:29,  4.75it/s]
overall:  49%|████▉     | 1953/4000 [09:04<11:20,  3.01it/s]

train:  56%|█████▌    | 1953/3515 [09:02<08:38,  3.01it/s]
overall:  49%|████▉     | 1954/4000 [09:04<10:17,  3.31it/s]

train:  56%|█████▌    | 1954/3515 [09:02<07:51,  3.31it/s]
overall:  49%|████▉     | 1955/4000 [09:05<09:21,  3.64it/s]

train:  56%|█████▌    | 1955/3515 [09:03<07:08,  3.64it/s]
overall:  49%|████▉     | 1956/4000 [09:05<08:36,  3.96it/s]

train:  56%|█████▌    | 1956/3515 [09:03<06:33,  3.96it/s]
overall:  49%|████▉     | 1957/4000 [09:05<08:19,  4.09it/s]

train:  56%|█████▌    | 1957/3515 [09:03<06:20,  4.09it/s]
overall:  49%|████▉     | 1958/4000 [09:05<07:59,  4.26it/s]

train:  56%|█████▌    | 1958/3515 [09:03<06:05,  4.26it/s]
overall:  49%|████▉     | 1959/4000 [09:06<07:43,  4.40it/s]

train:  56%|█████▌    | 1959/3515 [09:03<05:53,  4.40it/s]
overall:  49%|████▉     | 1960/4000 [09:06<07:46,  4.37it/s]

train:  56%|█████▌    | 1960/3515 [09:04<05:55,  4.37it/s]
overall:  49%|████▉     | 1961/4000 [09:06<07:36,  4.46it/s]

train:  56%|█████▌    | 1961/3515 [09:04<05:48,  4.46it/s]
overall:  49%|████▉     | 1962/4000 [09:06<07:36,  4.46it/s]

train:  56%|█████▌    | 1962/3515 [09:04<05:48,  4.46it/s]
overall:  49%|████▉     | 1963/4000 [09:06<07:37,  4.45it/s]

train:  56%|█████▌    | 1963/3515 [09:04<05:48,  4.45it/s]
overall:  49%|████▉     | 1964/4000 [09:07<07:24,  4.58it/s]

train:  56%|█████▌    | 1964/3515 [09:05<05:38,  4.58it/s]
overall:  49%|████▉     | 1965/4000 [09:07<07:29,  4.53it/s]

train:  56%|█████▌    | 1965/3515 [09:05<05:42,  4.53it/s]
overall:  49%|████▉     | 1966/4000 [09:07<07:22,  4.60it/s]

train:  56%|█████▌    | 1966/3515 [09:05<05:36,  4.60it/s]
overall:  49%|████▉     | 1967/4000 [09:07<07:11,  4.71it/s]

train:  56%|█████▌    | 1967/3515 [09:05<05:28,  4.71it/s]
overall:  49%|████▉     | 1968/4000 [09:07<06:53,  4.91it/s]

train:  56%|█████▌    | 1968/3515 [09:05<05:14,  4.91it/s]
overall:  49%|████▉     | 1969/4000 [09:08<07:05,  4.78it/s]

train:  56%|█████▌    | 1969/3515 [09:06<05:23,  4.78it/s]
overall:  49%|████▉     | 1970/4000 [09:08<07:15,  4.66it/s]

train:  56%|█████▌    | 1970/3515 [09:06<05:31,  4.66it/s]
overall:  49%|████▉     | 1971/4000 [09:08<07:24,  4.56it/s]

train:  56%|█████▌    | 1971/3515 [09:06<05:38,  4.56it/s]
overall:  49%|████▉     | 1972/4000 [09:08<07:20,  4.60it/s]

train:  56%|█████▌    | 1972/3515 [09:06<05:35,  4.60it/s]
overall:  49%|████▉     | 1973/4000 [09:09<07:18,  4.62it/s]

train:  56%|█████▌    | 1973/3515 [09:06<05:33,  4.62it/s]
overall:  49%|████▉     | 1974/4000 [09:09<07:30,  4.50it/s]

train:  56%|█████▌    | 1974/3515 [09:07<05:42,  4.50it/s]
overall:  49%|████▉     | 1975/4000 [09:09<07:36,  4.43it/s]

train:  56%|█████▌    | 1975/3515 [09:07<05:47,  4.43it/s]
overall:  49%|████▉     | 1976/4000 [09:09<07:29,  4.51it/s]

train:  56%|█████▌    | 1976/3515 [09:07<05:41,  4.51it/s]
overall:  49%|████▉     | 1977/4000 [09:10<11:40,  2.89it/s]

train:  56%|█████▌    | 1977/3515 [09:08<08:52,  2.89it/s]
overall:  49%|████▉     | 1978/4000 [09:10<10:20,  3.26it/s]

train:  56%|█████▋    | 1978/3515 [09:08<07:52,  3.26it/s]
overall:  49%|████▉     | 1979/4000 [09:10<08:59,  3.75it/s]

train:  56%|█████▋    | 1979/3515 [09:08<06:50,  3.75it/s]
overall:  50%|████▉     | 1980/4000 [09:11<08:41,  3.87it/s]

train:  56%|█████▋    | 1980/3515 [09:08<06:36,  3.87it/s]
overall:  50%|████▉     | 1981/4000 [09:11<07:46,  4.33it/s]

train:  56%|█████▋    | 1981/3515 [09:09<05:54,  4.33it/s]
overall:  50%|████▉     | 1982/4000 [09:11<07:31,  4.47it/s]

train:  56%|█████▋    | 1982/3515 [09:09<05:42,  4.47it/s]
overall:  50%|████▉     | 1983/4000 [09:11<06:16,  5.36it/s]

train:  56%|█████▋    | 1983/3515 [09:09<04:45,  5.36it/s]
overall:  50%|████▉     | 1984/4000 [09:11<06:36,  5.08it/s]

train:  56%|█████▋    | 1984/3515 [09:09<05:01,  5.08it/s]
overall:  50%|████▉     | 1985/4000 [09:11<06:46,  4.95it/s]

train:  56%|█████▋    | 1985/3515 [09:09<05:08,  4.95it/s]
overall:  50%|████▉     | 1986/4000 [09:12<05:50,  5.74it/s]

train:  57%|█████▋    | 1986/3515 [09:09<04:26,  5.74it/s]
overall:  50%|████▉     | 1987/4000 [09:12<06:10,  5.43it/s]

train:  57%|█████▋    | 1987/3515 [09:10<04:41,  5.43it/s]
overall:  50%|████▉     | 1988/4000 [09:12<06:38,  5.05it/s]

train:  57%|█████▋    | 1988/3515 [09:10<05:02,  5.05it/s]
overall:  50%|████▉     | 1989/4000 [09:12<06:54,  4.85it/s]

train:  57%|█████▋    | 1989/3515 [09:10<05:14,  4.85it/s]
overall:  50%|████▉     | 1990/4000 [09:12<07:06,  4.71it/s]

train:  57%|█████▋    | 1990/3515 [09:10<05:23,  4.71it/s]
overall:  50%|████▉     | 1991/4000 [09:13<07:14,  4.62it/s]

train:  57%|█████▋    | 1991/3515 [09:11<05:29,  4.62it/s]
overall:  50%|████▉     | 1992/4000 [09:13<06:20,  5.27it/s]

train:  57%|█████▋    | 1992/3515 [09:11<04:48,  5.27it/s]
overall:  50%|████▉     | 1993/4000 [09:13<06:37,  5.05it/s]

train:  57%|█████▋    | 1993/3515 [09:11<05:01,  5.05it/s]
overall:  50%|████▉     | 1994/4000 [09:13<06:44,  4.96it/s]

train:  57%|█████▋    | 1994/3515 [09:11<05:06,  4.96it/s]
overall:  50%|████▉     | 1995/4000 [09:13<06:55,  4.82it/s]

train:  57%|█████▋    | 1995/3515 [09:11<05:15,  4.82it/s]
overall:  50%|████▉     | 1996/4000 [09:14<07:02,  4.74it/s]

train:  57%|█████▋    | 1996/3515 [09:12<05:22,  4.71it/s]
overall:  50%|████▉     | 1997/4000 [09:14<07:22,  4.53it/s]

train:  57%|█████▋    | 1997/3515 [09:12<05:34,  4.53it/s]
overall:  50%|████▉     | 1998/4000 [09:14<07:16,  4.59it/s]

train:  57%|█████▋    | 1998/3515 [09:12<05:30,  4.59it/s]
overall:  50%|████▉     | 1999/4000 [09:14<07:14,  4.61it/s]

train:  57%|█████▋    | 1999/3515 [09:12<05:28,  4.61it/s]dev loss: 2.1701550483703613
dev per: 0.5499895941727367
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.908224105834961
train per: 0.515194381994089
train loss: 1.8737411499023438
train per: 0.5079824010056568
train loss: 1.9449392557144165
train per: 0.5147957322633595
train loss: 1.8818092346191406
train per: 0.5096995373209209
train loss: 1.9480514526367188
train per: 0.5136562860438293
train loss: 1.9097394943237305
train per: 0.5096964586846543
train loss: 1.8718469142913818
train per: 0.507851775071262
train loss: 1.89443838596344
train per: 0.505852212789471
train loss: 1.8969440460205078
train per: 0.5082217244173299
train loss: 1.8760566711425781
train per: 0.5014605393563194
train loss: 1.9115461111068726
train per: 0.5061005143344789
train loss: 1.85965096950531
train per: 0.5029950243949568
train loss: 1.908429741859436
train per: 0.5079726651480638
train loss: 1.8609066009521484
train per: 0.5003883710608078
train loss: 1.8855222463607788
train per: 0.5089362928797925
train loss: 1.9357881546020508
train per: 0.514683679929869
train loss: 1.9094717502593994
train per: 0.5069275395290638
train loss: 1.8639177083969116
train per: 0.5017177331508533
train loss: 1.890952467918396
train per: 0.5065217955034619
train loss: 1.888135313987732
train per: 0.5053845266920327
train loss: 1.8652079105377197
train per: 0.5038639876352395
train loss: 1.8696321249008179
train per: 0.505312003907681
train loss: 1.8479890823364258
train per: 0.5024235200635677
train loss: 1.9086177349090576
train per: 0.5063651909557286
train loss: 1.9314234256744385
train per: 0.5168727679113724
train loss: 1.9042927026748657
train per: 0.5053526303698599
train loss: 1.8718467950820923
train per: 0.5039718994866252
train loss: 1.9254096746444702
train per: 0.5121731929492488
train loss: 1.8941478729248047
train per: 0.5042902901498679
train loss: 1.911710500717163
train per: 0.511683451111713
train loss: 1.8751766681671143
train per: 0.5031935359753752
train loss: 1.9119383096694946
train per: 0.5125848106806741
train loss: 1.8941227197647095
train per: 0.5097785977859779
train loss: 1.891538381576538
train per: 0.5101206297280719
train loss: 1.842087745666504
train per: 0.4949675363857981
train loss: 1.8529913425445557
train per: 0.5103013483756146
train loss: 1.9121869802474976
train per: 0.5209173922276492
train loss: 1.880382776260376
train per: 0.5093679430230538
train loss: 1.857031226158142
train per: 0.507296487884563
train loss: 1.9450514316558838
train per: 0.5108153078202995
train loss: 1.9038417339324951
train per: 0.5044508384660342
train loss: 1.9045946598052979
train per: 0.5069948053283958
train loss: 1.8704407215118408
train per: 0.5039832702648874
train loss: 1.8306999206542969
train per: 0.49662434502216846
train loss: 1.8745845556259155
train per: 0.5051187408593913
train loss: 1.886254072189331
train per: 0.5070550751024124
train loss: 1.8619043827056885
train per: 0.4992075284794453
train loss: 1.9217561483383179
train per: 0.5096185046122468
train loss: 1.8379383087158203
train per: 0.4949478099232639
train loss: 1.8757377862930298
train per: 0.5002299406995038
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 459/2703 [00:00<00:00, 4584.52it/s]


word -> phonemes:  34%|███▍      | 918/2703 [00:00<00:00, 4173.32it/s]


word -> phonemes:  50%|████▉     | 1338/2703 [00:00<00:00, 4099.40it/s]


word -> phonemes:  65%|██████▍   | 1750/2703 [00:00<00:00, 3944.89it/s]


word -> phonemes:  81%|████████▏ | 2198/2703 [00:00<00:00, 4127.36it/s]


word -> phonemes:  97%|█████████▋| 2613/2703 [00:00<00:00, 4092.90it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4116.23it/s]



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


dev:   0%|          | 1/2703 [00:01<53:35,  1.19s/it]


dev:   0%|          | 3/2703 [00:01<16:03,  2.80it/s]


dev:   0%|          | 5/2703 [00:01<09:14,  4.86it/s]


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dev:   0%|          | 9/2703 [00:01<05:21,  8.38it/s]


dev:   0%|          | 11/2703 [00:01<04:23, 10.22it/s]


dev:   0%|          | 13/2703 [00:01<03:54, 11.49it/s]


dev:   1%|          | 15/2703 [00:02<03:36, 12.40it/s]


dev:   1%|          | 17/2703 [00:02<03:21, 13.32it/s]


dev:   1%|          | 19/2703 [00:02<03:07, 14.32it/s]


dev:   1%|          | 21/2703 [00:02<03:02, 14.69it/s]


dev:   1%|          | 23/2703 [00:02<03:03, 14.59it/s]


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dev:   1%|          | 31/2703 [00:03<02:55, 15.22it/s]


dev:   1%|          | 33/2703 [00:03<02:50, 15.70it/s]


dev:   1%|▏         | 35/2703 [00:03<02:41, 16.56it/s]


dev:   1%|▏         | 37/2703 [00:03<02:57, 15.01it/s]


dev:   1%|▏         | 39/2703 [00:03<02:54, 15.25it/s]


dev:   2%|▏         | 41/2703 [00:03<02:43, 16.32it/s]


dev:   2%|▏         | 43/2703 [00:03<02:43, 16.23it/s]


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dev:   2%|▏         | 52/2703 [00:04<02:36, 16.99it/s]


dev:   2%|▏         | 54/2703 [00:04<02:40, 16.48it/s]


dev:   2%|▏         | 56/2703 [00:04<02:32, 17.33it/s]


dev:   2%|▏         | 58/2703 [00:04<02:30, 17.60it/s]


dev:   2%|▏         | 60/2703 [00:04<02:33, 17.20it/s]


dev:   2%|▏         | 62/2703 [00:05<02:34, 17.11it/s]


dev:   2%|▏         | 64/2703 [00:05<02:41, 16.33it/s]


dev:   2%|▏         | 66/2703 [00:05<02:42, 16.24it/s]


dev:   3%|▎         | 68/2703 [00:05<02:47, 15.74it/s]


dev:   3%|▎         | 70/2703 [00:05<02:54, 15.05it/s]


dev:   3%|▎         | 72/2703 [00:05<02:53, 15.19it/s]


dev:   3%|▎         | 74/2703 [00:05<02:55, 15.02it/s]


dev:   3%|▎         | 76/2703 [00:05<02:53, 15.14it/s]


dev:   3%|▎         | 78/2703 [00:06<02:45, 15.86it/s]


dev:   3%|▎         | 80/2703 [00:06<02:51, 15.31it/s]


dev:   3%|▎         | 82/2703 [00:06<02:43, 16.01it/s]


dev:   3%|▎         | 84/2703 [00:06<02:36, 16.69it/s]


dev:   3%|▎         | 86/2703 [00:06<02:39, 16.38it/s]


dev:   3%|▎         | 88/2703 [00:06<02:34, 16.95it/s]


dev:   3%|▎         | 90/2703 [00:06<02:36, 16.66it/s]


dev:   3%|▎         | 92/2703 [00:06<02:44, 15.84it/s]


dev:   3%|▎         | 94/2703 [00:07<02:36, 16.67it/s]


dev:   4%|▎         | 96/2703 [00:07<02:33, 16.94it/s]


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train:  84%|████████▎ | 2940/3515 [14:43<02:00,  4.78it/s]
overall:  74%|███████▎  | 2941/4000 [14:46<03:38,  4.84it/s]

train:  84%|████████▎ | 2941/3515 [14:44<01:58,  4.84it/s]
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train:  84%|████████▎ | 2943/3515 [14:44<01:59,  4.80it/s]
overall:  74%|███████▎  | 2944/4000 [14:46<03:45,  4.69it/s]

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overall:  74%|███████▎  | 2945/4000 [14:47<03:45,  4.67it/s]

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overall:  74%|███████▎  | 2946/4000 [14:47<03:34,  4.92it/s]

train:  84%|████████▍ | 2946/3515 [14:45<01:55,  4.92it/s]
overall:  74%|███████▎  | 2947/4000 [14:47<04:28,  3.92it/s]

train:  84%|████████▍ | 2947/3515 [14:45<02:24,  3.92it/s]
overall:  74%|███████▎  | 2948/4000 [14:47<04:24,  3.98it/s]

train:  84%|████████▍ | 2948/3515 [14:45<02:22,  3.98it/s]
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overall:  74%|███████▍  | 2961/4000 [14:50<03:52,  4.47it/s]

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overall:  74%|███████▍  | 2963/4000 [14:51<03:50,  4.49it/s]

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overall:  74%|███████▍  | 2964/4000 [14:51<03:51,  4.47it/s]

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overall:  74%|███████▍  | 2968/4000 [14:52<03:48,  4.51it/s]

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overall:  74%|███████▍  | 2970/4000 [14:52<03:14,  5.29it/s]

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overall:  74%|███████▍  | 2971/4000 [14:53<04:07,  4.16it/s]

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overall:  74%|███████▍  | 2972/4000 [14:53<04:04,  4.21it/s]

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train:  85%|████████▍ | 2983/3515 [14:53<01:31,  5.83it/s]
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train:  85%|████████▌ | 2993/3515 [14:55<01:51,  4.69it/s]
overall:  75%|███████▍  | 2994/4000 [14:57<03:32,  4.74it/s]

train:  85%|████████▌ | 2994/3515 [14:55<01:49,  4.74it/s]
overall:  75%|███████▍  | 2995/4000 [14:58<04:31,  3.70it/s]

train:  85%|████████▌ | 2995/3515 [14:56<02:20,  3.70it/s]
overall:  75%|███████▍  | 2996/4000 [14:58<04:15,  3.93it/s]

train:  85%|████████▌ | 2996/3515 [14:56<02:12,  3.93it/s]
overall:  75%|███████▍  | 2997/4000 [14:58<04:05,  4.08it/s]

train:  85%|████████▌ | 2997/3515 [14:56<02:07,  4.08it/s]
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overall:  75%|███████▍  | 2999/4000 [14:59<04:14,  3.94it/s]

train:  85%|████████▌ | 2999/3515 [14:57<02:11,  3.94it/s]dev loss: 2.174360990524292
dev per: 0.55130593132154
train loss: 1.8238252401351929
train per: 0.49462857758272527
train loss: 1.8318302631378174
train per: 0.5067738737746448
train loss: 1.858628273010254
train per: 0.5005838563713326
train loss: 1.88137686252594
train per: 0.5038693846734617
train loss: 1.8525794744491577
train per: 0.49690680502893636
train loss: 1.8509231805801392
train per: 0.49496340148229734
train loss: 1.8796497583389282
train per: 0.4966579891648491
train loss: 1.8990873098373413
train per: 0.5091995221027479
train loss: 1.8120120763778687
train per: 0.49320936572068347
train loss: 1.8493549823760986
train per: 0.4954646096707378
train loss: 1.860360860824585
train per: 0.4963551730194976
train loss: 1.8700230121612549
train per: 0.5065776055476239
train loss: 1.9225975275039673
train per: 0.5140344311377245
train loss: 1.8788944482803345
train per: 0.5055440980225646
train loss: 1.8182876110076904
train per: 0.49770212765957444
train loss: 1.8902177810668945
train per: 0.5049008258084433
train loss: 1.879804015159607
train per: 0.5042737011864993
train loss: 1.850403070449829
train per: 0.5001534291413082
train loss: 1.842207670211792
train per: 0.4926150552978951
train loss: 1.8627073764801025
train per: 0.49609344782238723
train loss: 1.8364593982696533
train per: 0.4970147662455355
train loss: 1.9170408248901367
train per: 0.5105389729806196
train loss: 1.9237937927246094
train per: 0.5104708489755303
train loss: 1.8453118801116943
train per: 0.49452137828134474
train loss: 1.8367830514907837
train per: 0.4970250857632933
train loss: 1.8494173288345337
train per: 0.5012390392680137
train loss: 1.8228832483291626
train per: 0.4930937595920006
train loss: 1.8412984609603882
train per: 0.49645066909683916
train loss: 1.8398940563201904
train per: 0.4942013183327551
train loss: 1.9150829315185547
train per: 0.5080181061347042
train loss: 1.8086334466934204
train per: 0.4954085040071238
train loss: 1.8335649967193604
train per: 0.49926415532777363
train loss: 1.8502200841903687
train per: 0.5040783034257749
train loss: 1.8488740921020508
train per: 0.4996616456552796
train loss: 1.8623371124267578
train per: 0.4969911041339613
train loss: 1.8382294178009033
train per: 0.5037224948988033
train loss: 1.883530616760254
train per: 0.5124152385649119
train loss: 1.8310205936431885
train per: 0.4954980570562032
train loss: 1.8430531024932861
train per: 0.49246924056003394
train loss: 1.8161243200302124
train per: 0.49233424205287246
train loss: 1.8093979358673096
train per: 0.48943469397901856
train loss: 1.851778268814087
train per: 0.5041187890235584
train loss: 1.8216689825057983
train per: 0.4998264213421636
train loss: 1.9036763906478882
train per: 0.5033159370085918
train loss: 1.8254810571670532
train per: 0.49611781148092554
train loss: 1.8737897872924805
train per: 0.4958130233720785
train loss: 1.8602262735366821
train per: 0.5028098792472405
train loss: 1.8945255279541016
train per: 0.507503904746814
train loss: 1.8519490957260132
train per: 0.5029663477316907
train loss: 1.8933626413345337
train per: 0.5113176841897623
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  17%|█▋        | 470/2703 [00:00<00:00, 4681.01it/s]


word -> phonemes:  35%|███▍      | 939/2703 [00:00<00:00, 4277.13it/s]


word -> phonemes:  51%|█████     | 1369/2703 [00:00<00:00, 3941.79it/s]


word -> phonemes:  65%|██████▌   | 1766/2703 [00:00<00:00, 3866.31it/s]


word -> phonemes:  83%|████████▎ | 2245/2703 [00:00<00:00, 4175.23it/s]


word -> phonemes:  99%|█████████▊| 2666/2703 [00:00<00:00, 3861.85it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3984.20it/s]



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


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dev:   3%|▎         | 79/2703 [00:06<02:37, 16.69it/s]


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overall:  75%|███████▌  | 3001/4000 [17:06<7:27:39, 26.89s/it] 

train:  85%|████████▌ | 3001/3515 [17:04<3:50:19, 26.89s/it]
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overall:  75%|███████▌  | 3005/4000 [17:07<1:49:50,  6.62s/it]

train:  85%|████████▌ | 3005/3515 [17:05<56:18,  6.62s/it]  
overall:  75%|███████▌  | 3006/4000 [17:07<1:17:55,  4.70s/it]

train:  86%|████████▌ | 3006/3515 [17:05<39:54,  4.70s/it]
overall:  75%|███████▌  | 3007/4000 [17:08<55:36,  3.36s/it]  

train:  86%|████████▌ | 3007/3515 [17:05<28:27,  3.36s/it]
overall:  75%|███████▌  | 3008/4000 [17:08<39:57,  2.42s/it]

train:  86%|████████▌ | 3008/3515 [17:06<20:25,  2.42s/it]
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train:  86%|████████▌ | 3009/3515 [17:06<15:05,  1.79s/it]
overall:  75%|███████▌  | 3010/4000 [17:08<21:39,  1.31s/it]

train:  86%|████████▌ | 3010/3515 [17:06<11:02,  1.31s/it]
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train:  86%|████████▌ | 3011/3515 [17:06<08:19,  1.01it/s]
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train:  86%|████████▌ | 3012/3515 [17:07<06:21,  1.32it/s]
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train: 100%|██████████| 3515/3515 [18:54<00:00,  4.95it/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 [18:55<00:00,  3.10it/s]
dev loss: 2.152808427810669
dev per: 0.5438605619146722
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.7965142726898193
train per: 0.4892977844536237
train loss: 1.8399593830108643
train per: 0.498881065444026
train loss: 1.8067734241485596
train per: 0.489753699376947
train loss: 1.829270362854004
train per: 0.490750541861989
train loss: 1.8617175817489624
train per: 0.49589319951712546
train loss: 1.8448419570922852
train per: 0.49586168376155176
train loss: 1.8085975646972656
train per: 0.49141187729814134
train loss: 1.8864805698394775
train per: 0.5021253091904613
train loss: 1.877110242843628
train per: 0.50337375196076
train loss: 1.8307151794433594
train per: 0.4951737910703248
train loss: 1.8568300008773804
train per: 0.5020196191575302
train loss: 1.8940337896347046
train per: 0.504087065086806
train loss: 1.8059459924697876
train per: 0.49457793433136243
train loss: 1.8283157348632812
train per: 0.49529502416699744
train loss: 1.852271318435669
train per: 0.5008831321754489
train loss: 1.8704674243927002
train per: 0.4979371338697545
train loss: 1.882276177406311
train per: 0.4972313747025444
train loss: 1.850510597229004
train per: 0.5015708451146716
train loss: 1.865430235862732
train per: 0.5037167861661747
train loss: 1.8579938411712646
train per: 0.5049176764657937
train loss: 1.8631473779678345
train per: 0.5033016012766192
train loss: 1.8846979141235352
train per: 0.5042661894758681
train loss: 1.8955453634262085
train per: 0.5096344404383849
train loss: 1.8681917190551758
train per: 0.5083630245447348
train loss: 1.875596046447754
train per: 0.498641914074494
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 423/3515 [00:00<00:00, 4220.40it/s]

word -> phonemes:  24%|██▍       | 855/3515 [00:00<00:00, 4275.80it/s]

word -> phonemes:  38%|███▊      | 1342/3515 [00:00<00:00, 4448.62it/s]

word -> phonemes:  51%|█████     | 1787/3515 [00:00<00:00, 4438.70it/s]

word -> phonemes:  63%|██████▎   | 2231/3515 [00:00<00:00, 4290.03it/s]

word -> phonemes:  76%|███████▌  | 2661/3515 [00:00<00:00, 3989.61it/s]

word -> phonemes:  87%|████████▋ | 3064/3515 [00:00<00:00, 3859.92it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4141.03it/s]


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overall:  88%|████████▊ | 3531/4000 [19:03<01:41,  4.63it/s]

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overall:  88%|████████▊ | 3533/4000 [19:04<01:37,  4.78it/s]

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overall:  88%|████████▊ | 3536/4000 [19:04<01:44,  4.45it/s]

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overall:  88%|████████▊ | 3539/4000 [19:05<01:32,  5.01it/s]

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overall:  88%|████████▊ | 3540/4000 [19:05<01:48,  4.23it/s]

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overall:  89%|████████▊ | 3541/4000 [19:06<01:50,  4.17it/s]

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overall:  89%|████████▊ | 3544/4000 [19:06<01:32,  4.91it/s]

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overall:  89%|████████▊ | 3546/4000 [19:06<01:26,  5.23it/s]

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overall:  89%|████████▊ | 3547/4000 [19:07<01:36,  4.69it/s]

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overall:  89%|████████▊ | 3548/4000 [19:07<01:38,  4.61it/s]

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overall:  89%|████████▊ | 3549/4000 [19:07<01:37,  4.61it/s]

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overall:  89%|████████▉ | 3550/4000 [19:07<01:34,  4.77it/s]

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overall:  89%|████████▉ | 3551/4000 [19:08<01:36,  4.68it/s]

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overall:  89%|████████▉ | 3552/4000 [19:08<01:54,  3.91it/s]

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overall:  89%|████████▉ | 3556/4000 [19:09<01:29,  4.95it/s]

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overall:  89%|████████▉ | 3557/4000 [19:09<01:31,  4.86it/s]

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overall:  89%|████████▉ | 3558/4000 [19:09<01:32,  4.80it/s]

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overall:  89%|████████▉ | 3559/4000 [19:09<01:26,  5.11it/s]

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overall:  89%|████████▉ | 3560/4000 [19:10<01:29,  4.89it/s]

train:   1%|▏         | 45/3515 [00:10<11:49,  4.89it/s]
overall:  89%|████████▉ | 3561/4000 [19:10<01:43,  4.23it/s]

train:   1%|▏         | 46/3515 [00:11<13:40,  4.23it/s]
overall:  89%|████████▉ | 3562/4000 [19:10<01:41,  4.31it/s]

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overall:  89%|████████▉ | 3563/4000 [19:10<01:28,  4.91it/s]

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overall:  89%|████████▉ | 3564/4000 [19:10<01:37,  4.46it/s]

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overall:  89%|████████▉ | 3565/4000 [19:11<01:23,  5.20it/s]

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overall:  89%|████████▉ | 3577/4000 [19:13<01:31,  4.63it/s]

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overall:  89%|████████▉ | 3578/4000 [19:13<01:31,  4.61it/s]

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overall:  90%|████████▉ | 3591/4000 [19:16<01:22,  4.94it/s]

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overall:  90%|████████▉ | 3592/4000 [19:16<01:19,  5.11it/s]

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overall:  90%|████████▉ | 3593/4000 [19:17<01:22,  4.91it/s]

train:   2%|▏         | 78/3515 [00:17<11:40,  4.91it/s]
overall:  90%|████████▉ | 3594/4000 [19:17<01:22,  4.94it/s]

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overall:  90%|████████▉ | 3595/4000 [19:17<01:19,  5.13it/s]

train:   2%|▏         | 80/3515 [00:18<11:10,  5.13it/s]
overall:  90%|████████▉ | 3596/4000 [19:17<01:38,  4.09it/s]

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overall:  90%|████████▉ | 3597/4000 [19:18<01:37,  4.15it/s]

train:   2%|▏         | 82/3515 [00:18<13:46,  4.15it/s]
overall:  90%|████████▉ | 3598/4000 [19:18<01:32,  4.33it/s]

train:   2%|▏         | 83/3515 [00:18<13:12,  4.33it/s]
overall:  90%|████████▉ | 3599/4000 [19:18<01:26,  4.65it/s]

train:   2%|▏         | 84/3515 [00:19<12:18,  4.65it/s]
overall:  90%|█████████ | 3600/4000 [19:18<01:28,  4.53it/s]

train:   2%|▏         | 85/3515 [00:19<12:37,  4.53it/s]
overall:  90%|█████████ | 3601/4000 [19:18<01:27,  4.56it/s]

train:   2%|▏         | 86/3515 [00:19<12:32,  4.56it/s]
overall:  90%|█████████ | 3602/4000 [19:19<01:24,  4.69it/s]

train:   2%|▏         | 87/3515 [00:19<12:10,  4.69it/s]
overall:  90%|█████████ | 3603/4000 [19:19<01:25,  4.66it/s]

train:   3%|▎         | 88/3515 [00:20<12:14,  4.66it/s]
overall:  90%|█████████ | 3604/4000 [19:19<01:25,  4.63it/s]

train:   3%|▎         | 89/3515 [00:20<12:20,  4.63it/s]
overall:  90%|█████████ | 3606/4000 [19:19<01:08,  5.78it/s]

train:   3%|▎         | 91/3515 [00:20<09:52,  5.78it/s]
overall:  90%|█████████ | 3607/4000 [19:19<01:13,  5.37it/s]

train:   3%|▎         | 92/3515 [00:20<10:37,  5.37it/s]
overall:  90%|█████████ | 3608/4000 [19:20<01:27,  4.47it/s]

train:   3%|▎         | 93/3515 [00:21<12:45,  4.47it/s]
overall:  90%|█████████ | 3609/4000 [19:20<01:26,  4.54it/s]

train:   3%|▎         | 94/3515 [00:21<12:32,  4.54it/s]
overall:  90%|█████████ | 3610/4000 [19:20<01:24,  4.62it/s]

train:   3%|▎         | 95/3515 [00:21<12:20,  4.62it/s]
overall:  90%|█████████ | 3611/4000 [19:20<01:23,  4.65it/s]

train:   3%|▎         | 96/3515 [00:21<12:15,  4.65it/s]
overall:  90%|█████████ | 3612/4000 [19:21<01:22,  4.72it/s]

train:   3%|▎         | 97/3515 [00:21<12:04,  4.72it/s]
overall:  90%|█████████ | 3613/4000 [19:21<01:20,  4.82it/s]

train:   3%|▎         | 98/3515 [00:22<11:48,  4.82it/s]
overall:  90%|█████████ | 3614/4000 [19:21<01:20,  4.82it/s]

train:   3%|▎         | 99/3515 [00:22<11:48,  4.82it/s]
overall:  90%|█████████ | 3615/4000 [19:21<01:21,  4.74it/s]

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overall:  90%|█████████ | 3616/4000 [19:21<01:22,  4.66it/s]

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overall:  90%|█████████ | 3617/4000 [19:22<01:21,  4.68it/s]

train:   3%|▎         | 102/3515 [00:22<12:08,  4.68it/s]
overall:  90%|█████████ | 3618/4000 [19:22<01:23,  4.60it/s]

train:   3%|▎         | 103/3515 [00:23<12:22,  4.60it/s]
overall:  90%|█████████ | 3619/4000 [19:22<01:25,  4.46it/s]

train:   3%|▎         | 104/3515 [00:23<12:44,  4.46it/s]
overall:  90%|█████████ | 3620/4000 [19:23<01:46,  3.56it/s]

train:   3%|▎         | 105/3515 [00:23<15:57,  3.56it/s]
overall:  91%|█████████ | 3621/4000 [19:23<01:40,  3.77it/s]

train:   3%|▎         | 106/3515 [00:24<15:03,  3.77it/s]
overall:  91%|█████████ | 3622/4000 [19:23<01:33,  4.03it/s]

train:   3%|▎         | 107/3515 [00:24<14:04,  4.03it/s]
overall:  91%|█████████ | 3623/4000 [19:23<01:29,  4.23it/s]

train:   3%|▎         | 108/3515 [00:24<13:24,  4.23it/s]
overall:  91%|█████████ | 3624/4000 [19:23<01:26,  4.32it/s]

train:   3%|▎         | 109/3515 [00:24<13:07,  4.32it/s]
overall:  91%|█████████ | 3625/4000 [19:24<01:25,  4.36it/s]

train:   3%|▎         | 110/3515 [00:24<13:00,  4.36it/s]
overall:  91%|█████████ | 3626/4000 [19:24<01:22,  4.56it/s]

train:   3%|▎         | 111/3515 [00:25<12:26,  4.56it/s]
overall:  91%|█████████ | 3627/4000 [19:24<01:21,  4.55it/s]

train:   3%|▎         | 112/3515 [00:25<12:27,  4.55it/s]
overall:  91%|█████████ | 3629/4000 [19:24<01:10,  5.25it/s]

train:   3%|▎         | 114/3515 [00:25<10:48,  5.25it/s]
overall:  91%|█████████ | 3630/4000 [19:25<01:12,  5.12it/s]

train:   3%|▎         | 115/3515 [00:25<11:03,  5.12it/s]
overall:  91%|█████████ | 3631/4000 [19:25<01:13,  4.99it/s]

train:   3%|▎         | 116/3515 [00:26<11:21,  4.99it/s]
overall:  91%|█████████ | 3632/4000 [19:25<01:36,  3.82it/s]

train:   3%|▎         | 117/3515 [00:26<14:50,  3.82it/s]
overall:  91%|█████████ | 3633/4000 [19:25<01:33,  3.94it/s]

train:   3%|▎         | 118/3515 [00:26<14:21,  3.94it/s]
overall:  91%|█████████ | 3634/4000 [19:26<01:31,  4.01it/s]

train:   3%|▎         | 119/3515 [00:26<14:05,  4.01it/s]
overall:  91%|█████████ | 3635/4000 [19:26<01:26,  4.20it/s]

train:   3%|▎         | 120/3515 [00:27<13:28,  4.20it/s]
overall:  91%|█████████ | 3636/4000 [19:26<01:23,  4.34it/s]

train:   3%|▎         | 121/3515 [00:27<13:01,  4.34it/s]
overall:  91%|█████████ | 3637/4000 [19:26<01:23,  4.35it/s]

train:   3%|▎         | 122/3515 [00:27<13:00,  4.35it/s]
overall:  91%|█████████ | 3638/4000 [19:27<01:20,  4.48it/s]

train:   3%|▎         | 123/3515 [00:27<12:36,  4.48it/s]
overall:  91%|█████████ | 3639/4000 [19:27<01:19,  4.52it/s]

train:   4%|▎         | 124/3515 [00:28<12:30,  4.52it/s]
overall:  91%|█████████ | 3640/4000 [19:27<01:19,  4.53it/s]

train:   4%|▎         | 125/3515 [00:28<12:27,  4.53it/s]
overall:  91%|█████████ | 3641/4000 [19:27<01:18,  4.57it/s]

train:   4%|▎         | 126/3515 [00:28<12:20,  4.57it/s]
overall:  91%|█████████ | 3642/4000 [19:27<01:18,  4.59it/s]

train:   4%|▎         | 127/3515 [00:28<12:18,  4.59it/s]
overall:  91%|█████████ | 3643/4000 [19:28<01:20,  4.44it/s]

train:   4%|▎         | 128/3515 [00:28<12:42,  4.44it/s]
overall:  91%|█████████ | 3644/4000 [19:28<01:32,  3.87it/s]

train:   4%|▎         | 129/3515 [00:29<14:35,  3.87it/s]
overall:  91%|█████████ | 3645/4000 [19:28<01:28,  4.03it/s]

train:   4%|▎         | 130/3515 [00:29<13:59,  4.03it/s]
overall:  91%|█████████ | 3646/4000 [19:28<01:24,  4.18it/s]

train:   4%|▎         | 131/3515 [00:29<13:30,  4.18it/s]
overall:  91%|█████████ | 3647/4000 [19:29<01:14,  4.74it/s]

train:   4%|▍         | 132/3515 [00:29<11:53,  4.74it/s]
overall:  91%|█████████ | 3648/4000 [19:29<01:07,  5.24it/s]

train:   4%|▍         | 133/3515 [00:30<10:44,  5.24it/s]
overall:  91%|█████████ | 3649/4000 [19:29<01:08,  5.10it/s]

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overall:  91%|█████████▏| 3650/4000 [19:29<01:06,  5.25it/s]

train:   4%|▍         | 135/3515 [00:30<10:44,  5.25it/s]
overall:  91%|█████████▏| 3651/4000 [19:29<01:01,  5.71it/s]

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overall:  91%|█████████▏| 3652/4000 [19:29<01:04,  5.37it/s]

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overall:  91%|█████████▏| 3653/4000 [19:30<01:08,  5.08it/s]

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overall:  91%|█████████▏| 3655/4000 [19:30<01:00,  5.68it/s]

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overall:  91%|█████████▏| 3656/4000 [19:30<01:18,  4.38it/s]

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overall:  91%|█████████▏| 3657/4000 [19:31<01:17,  4.42it/s]

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overall:  91%|█████████▏| 3658/4000 [19:31<01:16,  4.49it/s]

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overall:  91%|█████████▏| 3659/4000 [19:31<01:14,  4.60it/s]

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overall:  92%|█████████▏| 3660/4000 [19:31<01:13,  4.64it/s]

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overall:  92%|█████████▏| 3661/4000 [19:31<01:12,  4.65it/s]

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overall:  92%|█████████▏| 3662/4000 [19:32<01:12,  4.64it/s]

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overall:  92%|█████████▏| 3664/4000 [19:32<01:02,  5.35it/s]

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overall:  92%|█████████▏| 3665/4000 [19:32<01:05,  5.12it/s]

train:   4%|▍         | 150/3515 [00:33<10:56,  5.12it/s]
overall:  92%|█████████▏| 3666/4000 [19:32<01:07,  4.96it/s]

train:   4%|▍         | 151/3515 [00:33<11:18,  4.96it/s]
overall:  92%|█████████▏| 3668/4000 [19:33<01:03,  5.26it/s]

train:   4%|▍         | 153/3515 [00:34<10:39,  5.26it/s]
overall:  92%|█████████▏| 3669/4000 [19:33<01:05,  5.09it/s]

train:   4%|▍         | 154/3515 [00:34<11:00,  5.09it/s]
overall:  92%|█████████▏| 3670/4000 [19:33<01:07,  4.90it/s]

train:   4%|▍         | 155/3515 [00:34<11:25,  4.90it/s]
overall:  92%|█████████▏| 3671/4000 [19:33<01:08,  4.79it/s]

train:   4%|▍         | 156/3515 [00:34<11:40,  4.79it/s]
overall:  92%|█████████▏| 3672/4000 [19:34<01:09,  4.70it/s]

train:   4%|▍         | 157/3515 [00:34<11:54,  4.70it/s]
overall:  92%|█████████▏| 3674/4000 [19:34<01:00,  5.41it/s]

train:   5%|▍         | 159/3515 [00:35<10:20,  5.41it/s]
overall:  92%|█████████▏| 3675/4000 [19:34<01:02,  5.16it/s]

train:   5%|▍         | 160/3515 [00:35<10:49,  5.17it/s]
overall:  92%|█████████▏| 3676/4000 [19:34<01:04,  5.00it/s]

train:   5%|▍         | 161/3515 [00:35<11:11,  5.00it/s]
overall:  92%|█████████▏| 3677/4000 [19:35<01:05,  4.96it/s]

train:   5%|▍         | 162/3515 [00:35<11:16,  4.96it/s]
overall:  92%|█████████▏| 3678/4000 [19:35<01:06,  4.86it/s]

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overall:  92%|█████████▏| 3679/4000 [19:35<01:08,  4.68it/s]

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overall:  92%|█████████▏| 3680/4000 [19:35<01:24,  3.77it/s]

train:   5%|▍         | 165/3515 [00:36<14:48,  3.77it/s]
overall:  92%|█████████▏| 3681/4000 [19:36<01:25,  3.75it/s]

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overall:  92%|█████████▏| 3683/4000 [19:36<01:07,  4.71it/s]

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overall:  92%|█████████▏| 3684/4000 [19:36<01:07,  4.71it/s]

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overall:  92%|█████████▏| 3685/4000 [19:36<01:05,  4.79it/s]

train:   5%|▍         | 170/3515 [00:37<11:38,  4.79it/s]
overall:  92%|█████████▏| 3686/4000 [19:37<01:05,  4.79it/s]

train:   5%|▍         | 171/3515 [00:37<11:37,  4.79it/s]
overall:  92%|█████████▏| 3687/4000 [19:37<01:02,  5.04it/s]

train:   5%|▍         | 172/3515 [00:38<11:02,  5.04it/s]
overall:  92%|█████████▏| 3688/4000 [19:37<01:01,  5.07it/s]

train:   5%|▍         | 173/3515 [00:38<10:58,  5.07it/s]
overall:  92%|█████████▏| 3689/4000 [19:37<01:03,  4.90it/s]

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overall: 100%|█████████▉| 3999/4000 [20:46<00:00,  4.84it/s]

train:  14%|█▍        | 484/3515 [01:47<10:26,  4.84it/s]train loss: 1.862156629562378
train per: 0.49622746607251367
train loss: 1.8338874578475952
train per: 0.5032177280801374
train loss: 1.8534711599349976
train per: 0.5038311737901892
train loss: 1.895239233970642
train per: 0.5019858156028368
train loss: 1.8676176071166992
train per: 0.5058954788650253
train loss: 1.859575867652893
train per: 0.5012404485461943
train loss: 1.8694944381713867
train per: 0.4980608146873207
train loss: 1.8501262664794922
train per: 0.49864719995916074
train loss: 1.8453369140625
train per: 0.5064448746688405
train loss: 1.8579912185668945
train per: 0.5074345603799887
train loss: 1.8568713665008545
train per: 0.5025637021420577
train loss: 1.8989059925079346
train per: 0.5041722445336904
train loss: 1.8287445306777954
train per: 0.49502205419029616
train loss: 1.8632819652557373
train per: 0.5008483646140593
train loss: 1.8950170278549194
train per: 0.5088319234823747
train loss: 1.842698097229004
train per: 0.4990986873841623
train loss: 1.8247804641723633
train per: 0.49477858233584554
train loss: 1.855063796043396
train per: 0.5006892617768693
train loss: 1.8691174983978271
train per: 0.5006414368184734
train loss: 1.8297439813613892
train per: 0.489683374225961
train loss: 1.8542125225067139
train per: 0.5034340659340659
train loss: 1.8592116832733154
train per: 0.4958526362232517
train loss: 1.8532546758651733
train per: 0.49827220514287074
train loss: 1.8497753143310547
train per: 0.49574499124683913
train loss: 1.8354415893554688
train per: 0.4935354436023183
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  13%|█▎        | 358/2703 [00:00<00:00, 3415.76it/s]


word -> phonemes:  28%|██▊       | 765/2703 [00:00<00:00, 3752.16it/s]


word -> phonemes:  42%|████▏     | 1142/2703 [00:00<00:00, 3758.47it/s]


word -> phonemes:  58%|█████▊    | 1580/2703 [00:00<00:00, 3998.85it/s]


word -> phonemes:  73%|███████▎  | 1981/2703 [00:00<00:00, 3777.87it/s]


word -> phonemes:  89%|████████▉ | 2418/2703 [00:00<00:00, 3969.20it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3874.23it/s]



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overall: 100%|█████████▉| 3999/4000 [22:55<00:00,  4.84it/s]

train:  14%|█▍        | 484/3515 [03:56<10:26,  4.84it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:55<00:00,  4.84it/s]

train:  14%|█▍        | 484/3515 [03:56<10:26,  4.84it/s]
overall: 100%|██████████| 4000/4000 [22:55<00:00, 36.45s/it]

train:  14%|█▍        | 485/3515 [03:56<30:40:29, 36.45s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:57<24:41,  2.05it/s]   

overall: 100%|██████████| 4000/4000 [22:56<00:00,  2.91it/s]
dev loss: 2.186713695526123
dev per: 0.5503590010405828
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt