/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")
2023-10-01 19:43:27 | 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_demuc_6x {'model_config': None, 'refresh': False}
Loading model from Local mert_25hz_demuc_6x
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:  91%|█████████▏| 3214/3515 [00:01<00:00, 2210.37it/s]

word -> phonemes:  98%|█████████▊| 3437/3515 [00:01<00:00, 2090.78it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2175.68it/s]


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train:   5%|▍         | 159/3515 [00:34<14:08,  3.96it/s]
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train:   5%|▌         | 179/3515 [00:39<11:46,  4.72it/s]
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train:   5%|▌         | 180/3515 [00:39<11:37,  4.78it/s]
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train:   5%|▌         | 181/3515 [00:39<17:03,  3.26it/s]
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train:   5%|▌         | 182/3515 [00:40<15:21,  3.62it/s]
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overall:  13%|█▎        | 503/4000 [01:53<12:34,  4.63it/s]

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overall:  13%|█▎        | 506/4000 [01:53<11:01,  5.28it/s]

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overall:  13%|█▎        | 521/4000 [01:56<13:14,  4.38it/s]

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overall:  13%|█▎        | 522/4000 [01:57<13:59,  4.14it/s]

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overall:  13%|█▎        | 527/4000 [01:58<12:07,  4.77it/s]

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overall:  13%|█▎        | 528/4000 [01:58<12:01,  4.81it/s]

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overall:  13%|█▎        | 529/4000 [01:58<12:02,  4.80it/s]

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overall:  13%|█▎        | 530/4000 [01:58<12:14,  4.73it/s]

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overall:  13%|█▎        | 531/4000 [01:59<12:06,  4.77it/s]

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overall:  13%|█▎        | 532/4000 [01:59<12:13,  4.73it/s]

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overall:  13%|█▎        | 533/4000 [01:59<12:06,  4.77it/s]

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overall:  13%|█▎        | 534/4000 [01:59<10:40,  5.41it/s]

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overall:  13%|█▎        | 535/4000 [01:59<10:59,  5.25it/s]

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overall:  13%|█▎        | 536/4000 [01:59<10:36,  5.44it/s]

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overall:  13%|█▎        | 537/4000 [02:00<11:01,  5.23it/s]

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overall:  13%|█▎        | 538/4000 [02:00<09:51,  5.85it/s]

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overall:  13%|█▎        | 539/4000 [02:00<10:35,  5.45it/s]

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overall:  14%|█▎        | 540/4000 [02:00<11:06,  5.19it/s]

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overall:  14%|█▎        | 541/4000 [02:01<15:59,  3.60it/s]

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overall:  14%|█▎        | 542/4000 [02:01<14:54,  3.87it/s]

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overall:  14%|█▎        | 543/4000 [02:01<14:00,  4.11it/s]

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overall:  14%|█▎        | 544/4000 [02:01<13:36,  4.23it/s]

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overall:  14%|█▎        | 545/4000 [02:02<13:27,  4.28it/s]

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overall:  14%|█▎        | 546/4000 [02:02<14:18,  4.02it/s]

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overall:  14%|█▎        | 547/4000 [02:02<13:24,  4.29it/s]

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overall:  14%|█▎        | 548/4000 [02:02<13:06,  4.39it/s]

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overall:  14%|█▎        | 549/4000 [02:03<12:52,  4.47it/s]

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overall:  14%|█▍        | 550/4000 [02:03<12:24,  4.63it/s]

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overall:  14%|█▍        | 553/4000 [02:03<12:23,  4.63it/s]

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overall:  14%|█▍        | 554/4000 [02:04<12:28,  4.60it/s]

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overall:  14%|█▍        | 555/4000 [02:04<12:31,  4.59it/s]

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overall:  14%|█▍        | 556/4000 [02:04<12:27,  4.61it/s]

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overall:  14%|█▍        | 557/4000 [02:04<11:32,  4.97it/s]

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overall:  14%|█▍        | 558/4000 [02:04<11:40,  4.91it/s]

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overall:  14%|█▍        | 559/4000 [02:05<11:29,  4.99it/s]

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overall:  14%|█▍        | 560/4000 [02:05<11:50,  4.84it/s]

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overall:  14%|█▍        | 561/4000 [02:05<11:51,  4.83it/s]

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overall:  14%|█▍        | 562/4000 [02:05<11:49,  4.85it/s]

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overall:  14%|█▍        | 563/4000 [02:05<11:51,  4.83it/s]

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overall:  14%|█▍        | 564/4000 [02:06<12:00,  4.77it/s]

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overall:  14%|█▍        | 565/4000 [02:06<16:33,  3.46it/s]

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overall:  14%|█▍        | 566/4000 [02:06<15:15,  3.75it/s]

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overall:  14%|█▍        | 568/4000 [02:07<12:59,  4.41it/s]

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overall:  14%|█▍        | 569/4000 [02:07<12:46,  4.48it/s]

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overall:  14%|█▍        | 570/4000 [02:07<11:14,  5.09it/s]

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overall:  14%|█▍        | 571/4000 [02:07<10:04,  5.67it/s]

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overall:  14%|█▍        | 574/4000 [02:08<11:22,  5.02it/s]

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overall:  14%|█▍        | 576/4000 [02:08<10:59,  5.19it/s]

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overall:  14%|█▍        | 577/4000 [02:08<09:35,  5.94it/s]

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overall:  14%|█▍        | 580/4000 [02:09<10:59,  5.18it/s]

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overall:  15%|█▍        | 581/4000 [02:09<11:13,  5.08it/s]

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train:  28%|██▊       | 984/3515 [03:32<09:17,  4.54it/s]
overall:  25%|██▍       | 985/4000 [03:35<10:57,  4.59it/s]

train:  28%|██▊       | 985/3515 [03:32<09:11,  4.59it/s]
overall:  25%|██▍       | 986/4000 [03:35<10:38,  4.72it/s]

train:  28%|██▊       | 986/3515 [03:32<08:55,  4.72it/s]
overall:  25%|██▍       | 987/4000 [03:36<10:21,  4.85it/s]

train:  28%|██▊       | 987/3515 [03:32<08:41,  4.85it/s]
overall:  25%|██▍       | 988/4000 [03:36<10:32,  4.76it/s]

train:  28%|██▊       | 988/3515 [03:32<08:50,  4.76it/s]
overall:  25%|██▍       | 989/4000 [03:36<10:15,  4.89it/s]

train:  28%|██▊       | 989/3515 [03:33<08:36,  4.89it/s]
overall:  25%|██▍       | 990/4000 [03:36<10:06,  4.96it/s]

train:  28%|██▊       | 990/3515 [03:33<08:29,  4.96it/s]
overall:  25%|██▍       | 991/4000 [03:37<10:21,  4.84it/s]

train:  28%|██▊       | 991/3515 [03:33<08:41,  4.84it/s]
overall:  25%|██▍       | 992/4000 [03:37<10:22,  4.83it/s]

train:  28%|██▊       | 992/3515 [03:33<08:42,  4.83it/s]
overall:  25%|██▍       | 993/4000 [03:37<10:25,  4.81it/s]

train:  28%|██▊       | 993/3515 [03:33<08:44,  4.81it/s]
overall:  25%|██▍       | 994/4000 [03:37<10:23,  4.82it/s]

train:  28%|██▊       | 994/3515 [03:34<08:43,  4.82it/s]
overall:  25%|██▍       | 995/4000 [03:37<10:31,  4.76it/s]

train:  28%|██▊       | 995/3515 [03:34<08:49,  4.76it/s]
overall:  25%|██▍       | 996/4000 [03:38<09:57,  5.03it/s]

train:  28%|██▊       | 996/3515 [03:34<08:20,  5.03it/s]
overall:  25%|██▍       | 997/4000 [03:38<14:50,  3.37it/s]

train:  28%|██▊       | 997/3515 [03:34<12:26,  3.37it/s]
overall:  25%|██▍       | 998/4000 [03:38<13:37,  3.67it/s]

train:  28%|██▊       | 998/3515 [03:35<11:25,  3.67it/s]
overall:  25%|██▍       | 999/4000 [03:38<12:23,  4.04it/s]

train:  28%|██▊       | 999/3515 [03:35<10:23,  4.04it/s]train loss: 4.151247978210449
train per: 0.9441482949827221
train loss: 2.6526334285736084
train per: 0.6758650673895809
train loss: 2.3090085983276367
train per: 0.6072216597876593
train loss: 2.2138400077819824
train per: 0.5787262217015967
train loss: 2.1679584980010986
train per: 0.5702047638946929
train loss: 2.0961906909942627
train per: 0.560688357085238
train loss: 2.0464978218078613
train per: 0.5444189677041663
train loss: 2.1150119304656982
train per: 0.5535505474646539
train loss: 2.010611057281494
train per: 0.5310933774512189
train loss: 1.9760143756866455
train per: 0.5247465058920252
train loss: 1.9956834316253662
train per: 0.5392696348174087
train loss: 2.004058837890625
train per: 0.531711426023189
train loss: 2.054733991622925
train per: 0.5423593124558512
train loss: 2.0069432258605957
train per: 0.5305816219121632
train loss: 1.943459153175354
train per: 0.5193426102517011
train loss: 1.9601376056671143
train per: 0.5236621684504421
train loss: 1.9312922954559326
train per: 0.5193543451652387
train loss: 1.9346463680267334
train per: 0.5233367823484997
train loss: 1.9735662937164307
train per: 0.5229031813799752
train loss: 1.9266302585601807
train per: 0.5236392930869543
train loss: 1.9121999740600586
train per: 0.515771042442477
train loss: 1.962599515914917
train per: 0.5237449458801074
train loss: 1.9661438465118408
train per: 0.5142737933154727
train loss: 1.955862283706665
train per: 0.5186501741323406
train loss: 1.9281814098358154
train per: 0.5108787730170761
train loss: 1.8753421306610107
train per: 0.5036281471917367
train loss: 1.9342193603515625
train per: 0.5137273264984227
train loss: 1.8941681385040283
train per: 0.5062310619005308
train loss: 1.8966224193572998
train per: 0.5057513332636202
train loss: 1.9064546823501587
train per: 0.5123998383146682
train loss: 1.9449609518051147
train per: 0.5157432091649254
train loss: 1.8821182250976562
train per: 0.5028903149953461
train loss: 1.927293062210083
train per: 0.5147248276641428
train loss: 1.9044628143310547
train per: 0.5060287926822931
train loss: 1.8879579305648804
train per: 0.5090497737556561
train loss: 1.8936328887939453
train per: 0.5145562960364785
train loss: 1.9493532180786133
train per: 0.5097335584951684
train loss: 1.9361810684204102
train per: 0.5151843817787418
train loss: 1.919899344444275
train per: 0.5105912419521306
train loss: 1.925437331199646
train per: 0.5124150335194225
train loss: 1.8831682205200195
train per: 0.5068572941487953
train loss: 1.8769067525863647
train per: 0.5102681741220165
train loss: 1.9033867120742798
train per: 0.5060679923027582
train loss: 1.9347493648529053
train per: 0.517192592405447
train loss: 1.8770939111709595
train per: 0.49892771540305286
train loss: 1.8947594165802002
train per: 0.5054869684499315
train loss: 1.900564432144165
train per: 0.512306101344364
train loss: 1.8999834060668945
train per: 0.5095704759590723
train loss: 1.8889697790145874
train per: 0.504298595093311
train loss: 1.856390357017517
train per: 0.5008276305062134
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 206/2703 [00:00<00:01, 2054.86it/s]


word -> phonemes:  15%|█▌        | 412/2703 [00:00<00:01, 1967.28it/s]


word -> phonemes:  23%|██▎       | 629/2703 [00:00<00:01, 2057.17it/s]


word -> phonemes:  31%|███       | 840/2703 [00:00<00:00, 2072.89it/s]


word -> phonemes:  40%|███▉      | 1081/2703 [00:00<00:00, 2192.29it/s]


word -> phonemes:  48%|████▊     | 1301/2703 [00:00<00:00, 2183.36it/s]


word -> phonemes:  57%|█████▋    | 1541/2703 [00:00<00:00, 2250.43it/s]


word -> phonemes:  66%|██████▌   | 1778/2703 [00:00<00:00, 2285.84it/s]


word -> phonemes:  75%|███████▌  | 2037/2703 [00:00<00:00, 2379.97it/s]


word -> phonemes:  84%|████████▍ | 2276/2703 [00:01<00:00, 2364.05it/s]


word -> phonemes:  93%|█████████▎| 2523/2703 [00:01<00:00, 2394.03it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2276.16it/s]



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


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overall:  49%|████▊     | 1946/4000 [08:48<06:41,  5.12it/s]

train:  55%|█████▌    | 1946/3515 [08:45<05:06,  5.12it/s]
overall:  49%|████▊     | 1948/4000 [08:48<05:57,  5.74it/s]

train:  55%|█████▌    | 1948/3515 [08:45<04:32,  5.74it/s]
overall:  49%|████▊     | 1949/4000 [08:49<06:16,  5.45it/s]

train:  55%|█████▌    | 1949/3515 [08:45<04:47,  5.45it/s]
overall:  49%|████▉     | 1950/4000 [08:49<06:36,  5.17it/s]

train:  55%|█████▌    | 1950/3515 [08:45<05:02,  5.17it/s]
overall:  49%|████▉     | 1951/4000 [08:49<06:47,  5.03it/s]

train:  56%|█████▌    | 1951/3515 [08:46<05:10,  5.03it/s]
overall:  49%|████▉     | 1952/4000 [08:49<06:55,  4.93it/s]

train:  56%|█████▌    | 1952/3515 [08:46<05:17,  4.93it/s]
overall:  49%|████▉     | 1953/4000 [08:50<07:04,  4.82it/s]

train:  56%|█████▌    | 1953/3515 [08:46<05:24,  4.82it/s]
overall:  49%|████▉     | 1954/4000 [08:50<07:13,  4.72it/s]

train:  56%|█████▌    | 1954/3515 [08:46<05:30,  4.72it/s]
overall:  49%|████▉     | 1955/4000 [08:50<07:02,  4.84it/s]

train:  56%|█████▌    | 1955/3515 [08:46<05:22,  4.84it/s]
overall:  49%|████▉     | 1956/4000 [08:50<06:56,  4.91it/s]

train:  56%|█████▌    | 1956/3515 [08:47<05:17,  4.91it/s]
overall:  49%|████▉     | 1957/4000 [08:51<11:25,  2.98it/s]

train:  56%|█████▌    | 1957/3515 [08:47<08:42,  2.98it/s]
overall:  49%|████▉     | 1958/4000 [08:51<10:12,  3.34it/s]

train:  56%|█████▌    | 1958/3515 [08:47<07:46,  3.34it/s]
overall:  49%|████▉     | 1959/4000 [08:51<09:14,  3.68it/s]

train:  56%|█████▌    | 1959/3515 [08:48<07:02,  3.68it/s]
overall:  49%|████▉     | 1960/4000 [08:51<08:39,  3.93it/s]

train:  56%|█████▌    | 1960/3515 [08:48<06:36,  3.92it/s]
overall:  49%|████▉     | 1961/4000 [08:52<08:12,  4.14it/s]

train:  56%|█████▌    | 1961/3515 [08:48<06:15,  4.14it/s]
overall:  49%|████▉     | 1962/4000 [08:52<07:59,  4.25it/s]

train:  56%|█████▌    | 1962/3515 [08:48<06:05,  4.25it/s]
overall:  49%|████▉     | 1963/4000 [08:52<07:50,  4.33it/s]

train:  56%|█████▌    | 1963/3515 [08:49<05:58,  4.33it/s]
overall:  49%|████▉     | 1964/4000 [08:52<07:29,  4.53it/s]

train:  56%|█████▌    | 1964/3515 [08:49<05:42,  4.53it/s]
overall:  49%|████▉     | 1965/4000 [08:53<07:28,  4.54it/s]

train:  56%|█████▌    | 1965/3515 [08:49<05:41,  4.54it/s]
overall:  49%|████▉     | 1966/4000 [08:53<07:17,  4.65it/s]

train:  56%|█████▌    | 1966/3515 [08:49<05:33,  4.65it/s]
overall:  49%|████▉     | 1967/4000 [08:53<07:00,  4.83it/s]

train:  56%|█████▌    | 1967/3515 [08:49<05:20,  4.83it/s]
overall:  49%|████▉     | 1968/4000 [08:53<06:44,  5.02it/s]

train:  56%|█████▌    | 1968/3515 [08:50<05:08,  5.02it/s]
overall:  49%|████▉     | 1969/4000 [08:53<06:58,  4.85it/s]

train:  56%|█████▌    | 1969/3515 [08:50<05:18,  4.85it/s]
overall:  49%|████▉     | 1970/4000 [08:54<07:09,  4.72it/s]

train:  56%|█████▌    | 1970/3515 [08:50<05:27,  4.72it/s]
overall:  49%|████▉     | 1971/4000 [08:54<07:15,  4.66it/s]

train:  56%|█████▌    | 1971/3515 [08:50<05:31,  4.66it/s]
overall:  49%|████▉     | 1972/4000 [08:54<07:12,  4.69it/s]

train:  56%|█████▌    | 1972/3515 [08:50<05:29,  4.69it/s]
overall:  49%|████▉     | 1973/4000 [08:54<07:15,  4.66it/s]

train:  56%|█████▌    | 1973/3515 [08:51<05:31,  4.66it/s]
overall:  49%|████▉     | 1974/4000 [08:54<07:19,  4.61it/s]

train:  56%|█████▌    | 1974/3515 [08:51<05:34,  4.61it/s]
overall:  49%|████▉     | 1975/4000 [08:55<07:24,  4.55it/s]

train:  56%|█████▌    | 1975/3515 [08:51<05:38,  4.55it/s]
overall:  49%|████▉     | 1976/4000 [08:55<07:17,  4.62it/s]

train:  56%|█████▌    | 1976/3515 [08:51<05:32,  4.62it/s]
overall:  49%|████▉     | 1977/4000 [08:55<07:20,  4.59it/s]

train:  56%|█████▌    | 1977/3515 [08:51<05:34,  4.59it/s]
overall:  49%|████▉     | 1978/4000 [08:55<07:09,  4.71it/s]

train:  56%|█████▋    | 1978/3515 [08:52<05:26,  4.71it/s]
overall:  49%|████▉     | 1979/4000 [08:55<06:40,  5.05it/s]

train:  56%|█████▋    | 1979/3515 [08:52<05:04,  5.05it/s]
overall:  50%|████▉     | 1980/4000 [08:56<06:58,  4.82it/s]

train:  56%|█████▋    | 1980/3515 [08:52<05:18,  4.82it/s]
overall:  50%|████▉     | 1981/4000 [08:56<10:07,  3.32it/s]

train:  56%|█████▋    | 1981/3515 [08:53<07:41,  3.33it/s]
overall:  50%|████▉     | 1982/4000 [08:56<09:03,  3.71it/s]

train:  56%|█████▋    | 1982/3515 [08:53<06:52,  3.71it/s]
overall:  50%|████▉     | 1984/4000 [08:57<07:18,  4.60it/s]

train:  56%|█████▋    | 1984/3515 [08:53<05:32,  4.60it/s]
overall:  50%|████▉     | 1985/4000 [08:57<07:16,  4.62it/s]

train:  56%|█████▋    | 1985/3515 [08:53<05:31,  4.62it/s]
overall:  50%|████▉     | 1986/4000 [08:57<06:17,  5.33it/s]

train:  57%|█████▋    | 1986/3515 [08:53<04:46,  5.33it/s]
overall:  50%|████▉     | 1987/4000 [08:57<06:27,  5.19it/s]

train:  57%|█████▋    | 1987/3515 [08:54<04:54,  5.19it/s]
overall:  50%|████▉     | 1988/4000 [08:57<06:47,  4.93it/s]

train:  57%|█████▋    | 1988/3515 [08:54<05:09,  4.93it/s]
overall:  50%|████▉     | 1989/4000 [08:58<06:57,  4.82it/s]

train:  57%|█████▋    | 1989/3515 [08:54<05:16,  4.82it/s]
overall:  50%|████▉     | 1990/4000 [08:58<07:06,  4.72it/s]

train:  57%|█████▋    | 1990/3515 [08:54<05:23,  4.72it/s]
overall:  50%|████▉     | 1991/4000 [08:58<07:11,  4.66it/s]

train:  57%|█████▋    | 1991/3515 [08:55<05:27,  4.66it/s]
overall:  50%|████▉     | 1992/4000 [08:58<06:15,  5.34it/s]

train:  57%|█████▋    | 1992/3515 [08:55<04:45,  5.34it/s]
overall:  50%|████▉     | 1993/4000 [08:58<06:34,  5.09it/s]

train:  57%|█████▋    | 1993/3515 [08:55<04:58,  5.09it/s]
overall:  50%|████▉     | 1994/4000 [08:59<06:40,  5.01it/s]

train:  57%|█████▋    | 1994/3515 [08:55<05:03,  5.01it/s]
overall:  50%|████▉     | 1995/4000 [08:59<06:51,  4.87it/s]

train:  57%|█████▋    | 1995/3515 [08:55<05:12,  4.87it/s]
overall:  50%|████▉     | 1996/4000 [08:59<06:54,  4.84it/s]

train:  57%|█████▋    | 1996/3515 [08:56<05:14,  4.84it/s]
overall:  50%|████▉     | 1997/4000 [08:59<07:02,  4.74it/s]

train:  57%|█████▋    | 1997/3515 [08:56<05:20,  4.74it/s]
overall:  50%|████▉     | 1998/4000 [09:00<07:01,  4.75it/s]

train:  57%|█████▋    | 1998/3515 [08:56<05:19,  4.75it/s]
overall:  50%|████▉     | 1999/4000 [09:00<06:59,  4.76it/s]

train:  57%|█████▋    | 1999/3515 [08:56<05:18,  4.76it/s]dev loss: 2.1613214015960693
dev per: 0.5465504682622269
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.8788478374481201
train per: 0.5069088337080354
train loss: 1.8614305257797241
train per: 0.5073224387177876
train loss: 1.938726782798767
train per: 0.5111480941090644
train loss: 1.879150629043579
train per: 0.5077484809632644
train loss: 1.9255647659301758
train per: 0.5070126874279124
train loss: 1.8965545892715454
train per: 0.5048716507401162
train loss: 1.8741413354873657
train per: 0.5020989893754859
train loss: 1.8864511251449585
train per: 0.5038679861355302
train loss: 1.8770360946655273
train per: 0.5021924598446214
train loss: 1.8775393962860107
train per: 0.5024777006937562
train loss: 1.9141616821289062
train per: 0.5044629471596282
train loss: 1.8523132801055908
train per: 0.49995169315492005
train loss: 1.8955329656600952
train per: 0.503872437357631
train loss: 1.8454132080078125
train per: 0.49947292498890367
train loss: 1.862710952758789
train per: 0.5018497165369463
train loss: 1.917822241783142
train per: 0.5098621730872255
train loss: 1.8887197971343994
train per: 0.5053577522466158
train loss: 1.8359935283660889
train per: 0.495517135435578
train loss: 1.8844225406646729
train per: 0.5042138837746026
train loss: 1.8857946395874023
train per: 0.5019485760405857
train loss: 1.8482210636138916
train per: 0.498662937611933
train loss: 1.8535032272338867
train per: 0.493173769691049
train loss: 1.8295860290527344
train per: 0.49752350682028873
train loss: 1.8927586078643799
train per: 0.5031350940528215
train loss: 1.9118931293487549
train per: 0.5123782221034474
train loss: 1.8846174478530884
train per: 0.5019297036526533
train loss: 1.8595670461654663
train per: 0.5004052958659821
train loss: 1.9249767065048218
train per: 0.5107062581332071
train loss: 1.898442268371582
train per: 0.5077271983353207
train loss: 1.897086501121521
train per: 0.5058971265358383
train loss: 1.8662290573120117
train per: 0.5031165833012697
train loss: 1.9019792079925537
train per: 0.5092288611658277
train loss: 1.8896774053573608
train per: 0.5054658671586716
train loss: 1.879844307899475
train per: 0.5042424861991412
train loss: 1.8410133123397827
train per: 0.49255388477227197
train loss: 1.8256661891937256
train per: 0.5046303278935779
train loss: 1.9028005599975586
train per: 0.5175196432363559
train loss: 1.8660356998443604
train per: 0.5055215028414026
train loss: 1.843627691268921
train per: 0.5028042472093657
train loss: 1.926047682762146
train per: 0.5081114808652246
train loss: 1.8993360996246338
train per: 0.49934810951760106
train loss: 1.884386420249939
train per: 0.503497402664198
train loss: 1.8569074869155884
train per: 0.4975353515236009
train loss: 1.8218063116073608
train per: 0.4931983071342201
train loss: 1.8680737018585205
train per: 0.4993616082828424
train loss: 1.8714463710784912
train per: 0.5006024257677582
train loss: 1.854600191116333
train per: 0.49799405646359585
train loss: 1.9147666692733765
train per: 0.5067677189078942
train loss: 1.8308318853378296
train per: 0.4913493160478528
train loss: 1.8694730997085571
train per: 0.49826939368268186
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|█         | 279/2703 [00:00<00:00, 2786.82it/s]


word -> phonemes:  21%|██        | 558/2703 [00:00<00:00, 2770.69it/s]


word -> phonemes:  31%|███       | 836/2703 [00:00<00:00, 2712.04it/s]


word -> phonemes:  41%|████▏     | 1120/2703 [00:00<00:00, 2758.65it/s]


word -> phonemes:  52%|█████▏    | 1404/2703 [00:00<00:00, 2785.63it/s]


word -> phonemes:  62%|██████▏   | 1683/2703 [00:00<00:00, 2783.48it/s]


word -> phonemes:  73%|███████▎  | 1962/2703 [00:00<00:00, 2753.41it/s]


word -> phonemes:  83%|████████▎ | 2250/2703 [00:00<00:00, 2791.19it/s]


word -> phonemes:  94%|█████████▎| 2534/2703 [00:00<00:00, 2803.61it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2788.30it/s]



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


dev:   0%|          | 1/2703 [00:01<50:22,  1.12s/it]


dev:   0%|          | 3/2703 [00:01<15:47,  2.85it/s]


dev:   0%|          | 5/2703 [00:01<08:59,  5.00it/s]


dev:   0%|          | 7/2703 [00:01<06:19,  7.11it/s]


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dev:   0%|          | 13/2703 [00:01<03:35, 12.51it/s]


dev:   1%|          | 15/2703 [00:02<03:25, 13.11it/s]


dev:   1%|          | 17/2703 [00:02<03:07, 14.32it/s]


dev:   1%|          | 19/2703 [00:02<02:52, 15.53it/s]


dev:   1%|          | 21/2703 [00:02<02:45, 16.17it/s]


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dev:   1%|          | 27/2703 [00:02<02:51, 15.59it/s]


dev:   1%|          | 29/2703 [00:02<02:46, 16.02it/s]


dev:   1%|          | 31/2703 [00:02<02:37, 16.92it/s]


dev:   1%|          | 33/2703 [00:03<02:35, 17.20it/s]


dev:   1%|▏         | 36/2703 [00:03<02:27, 18.14it/s]


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dev:   2%|▏         | 49/2703 [00:03<02:19, 18.98it/s]


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dev:   2%|▏         | 53/2703 [00:04<02:22, 18.58it/s]


dev:   2%|▏         | 55/2703 [00:04<02:22, 18.65it/s]


dev:   2%|▏         | 58/2703 [00:04<02:15, 19.53it/s]


dev:   2%|▏         | 61/2703 [00:04<02:15, 19.57it/s]


dev:   2%|▏         | 63/2703 [00:04<02:18, 19.12it/s]


dev:   2%|▏         | 65/2703 [00:04<02:19, 18.85it/s]


dev:   2%|▏         | 67/2703 [00:04<02:22, 18.48it/s]


dev:   3%|▎         | 70/2703 [00:05<02:16, 19.26it/s]


dev:   3%|▎         | 72/2703 [00:05<02:17, 19.16it/s]


dev:   3%|▎         | 75/2703 [00:05<02:19, 18.80it/s]


dev:   3%|▎         | 78/2703 [00:05<02:14, 19.58it/s]


dev:   3%|▎         | 81/2703 [00:05<02:14, 19.45it/s]


dev:   3%|▎         | 83/2703 [00:05<02:14, 19.52it/s]


dev:   3%|▎         | 86/2703 [00:05<02:11, 19.87it/s]


dev:   3%|▎         | 88/2703 [00:05<02:16, 19.11it/s]


dev:   3%|▎         | 90/2703 [00:06<02:17, 19.05it/s]


dev:   3%|▎         | 93/2703 [00:06<02:15, 19.23it/s]


dev:   4%|▎         | 96/2703 [00:06<02:13, 19.60it/s]


dev:   4%|▎         | 98/2703 [00:06<02:13, 19.55it/s]


dev:   4%|▎         | 100/2703 [00:06<02:17, 18.91it/s]


dev:   4%|▍         | 103/2703 [00:06<02:12, 19.67it/s]


dev:   4%|▍         | 106/2703 [00:06<02:10, 19.91it/s]


dev:   4%|▍         | 108/2703 [00:06<02:12, 19.64it/s]


dev:   4%|▍         | 111/2703 [00:07<02:12, 19.53it/s]


dev:   4%|▍         | 114/2703 [00:07<02:10, 19.88it/s]


dev:   4%|▍         | 116/2703 [00:07<02:10, 19.83it/s]


dev:   4%|▍         | 118/2703 [00:07<02:15, 19.14it/s]


dev:   4%|▍         | 121/2703 [00:07<02:07, 20.20it/s]


dev:   5%|▍         | 124/2703 [00:07<02:10, 19.71it/s]


dev:   5%|▍         | 126/2703 [00:07<02:14, 19.15it/s]


dev:   5%|▍         | 129/2703 [00:08<02:08, 20.06it/s]


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dev:   5%|▍         | 135/2703 [00:08<02:13, 19.18it/s]


dev:   5%|▌         | 137/2703 [00:08<02:13, 19.28it/s]


dev:   5%|▌         | 140/2703 [00:08<02:08, 19.98it/s]


dev:   5%|▌         | 143/2703 [00:08<02:09, 19.76it/s]


dev:   5%|▌         | 146/2703 [00:08<02:07, 20.08it/s]


dev:   6%|▌         | 149/2703 [00:09<02:13, 19.14it/s]


dev:   6%|▌         | 151/2703 [00:09<02:12, 19.29it/s]


dev:   6%|▌         | 153/2703 [00:09<02:13, 19.10it/s]


dev:   6%|▌         | 156/2703 [00:09<02:06, 20.19it/s]


dev:   6%|▌         | 159/2703 [00:09<02:01, 20.96it/s]


dev:   6%|▌         | 162/2703 [00:09<02:07, 19.86it/s]


dev:   6%|▌         | 165/2703 [00:09<02:07, 19.90it/s]


dev:   6%|▌         | 168/2703 [00:09<02:07, 19.81it/s]


dev:   6%|▋         | 171/2703 [00:10<02:02, 20.62it/s]


dev:   6%|▋         | 174/2703 [00:10<02:06, 19.94it/s]


dev:   7%|▋         | 177/2703 [00:10<02:03, 20.39it/s]


dev:   7%|▋         | 180/2703 [00:10<02:06, 19.88it/s]


dev:   7%|▋         | 182/2703 [00:10<02:08, 19.61it/s]


dev:   7%|▋         | 184/2703 [00:10<02:13, 18.86it/s]


dev:   7%|▋         | 186/2703 [00:10<02:16, 18.40it/s]


dev:   7%|▋         | 188/2703 [00:11<02:15, 18.55it/s]


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overall:  74%|███████▍  | 2970/4000 [14:23<03:16,  5.24it/s]

train:  84%|████████▍ | 2970/3515 [14:20<01:44,  5.24it/s]
overall:  74%|███████▍  | 2971/4000 [14:23<03:23,  5.05it/s]

train:  85%|████████▍ | 2971/3515 [14:20<01:47,  5.05it/s]
overall:  74%|███████▍  | 2972/4000 [14:24<03:30,  4.87it/s]

train:  85%|████████▍ | 2972/3515 [14:20<01:51,  4.87it/s]
overall:  74%|███████▍  | 2973/4000 [14:24<03:30,  4.87it/s]

train:  85%|████████▍ | 2973/3515 [14:20<01:51,  4.87it/s]
overall:  74%|███████▍  | 2974/4000 [14:24<03:29,  4.89it/s]

train:  85%|████████▍ | 2974/3515 [14:20<01:50,  4.89it/s]
overall:  74%|███████▍  | 2975/4000 [14:24<03:33,  4.80it/s]

train:  85%|████████▍ | 2975/3515 [14:21<01:52,  4.80it/s]
overall:  74%|███████▍  | 2976/4000 [14:24<03:34,  4.76it/s]

train:  85%|████████▍ | 2976/3515 [14:21<01:53,  4.76it/s]
overall:  74%|███████▍  | 2977/4000 [14:25<03:38,  4.68it/s]

train:  85%|████████▍ | 2977/3515 [14:21<01:54,  4.68it/s]
overall:  74%|███████▍  | 2978/4000 [14:25<04:33,  3.73it/s]

train:  85%|████████▍ | 2978/3515 [14:21<02:23,  3.73it/s]
overall:  74%|███████▍  | 2979/4000 [14:25<04:14,  4.02it/s]

train:  85%|████████▍ | 2979/3515 [14:22<02:13,  4.02it/s]
overall:  74%|███████▍  | 2980/4000 [14:25<04:01,  4.23it/s]

train:  85%|████████▍ | 2980/3515 [14:22<02:06,  4.23it/s]
overall:  75%|███████▍  | 2981/4000 [14:25<03:20,  5.08it/s]

train:  85%|████████▍ | 2981/3515 [14:22<01:45,  5.08it/s]
overall:  75%|███████▍  | 2983/4000 [14:26<02:54,  5.82it/s]

train:  85%|████████▍ | 2983/3515 [14:22<01:31,  5.82it/s]
overall:  75%|███████▍  | 2984/4000 [14:26<03:00,  5.64it/s]

train:  85%|████████▍ | 2984/3515 [14:22<01:34,  5.64it/s]
overall:  75%|███████▍  | 2985/4000 [14:26<03:08,  5.38it/s]

train:  85%|████████▍ | 2985/3515 [14:23<01:38,  5.38it/s]
overall:  75%|███████▍  | 2986/4000 [14:26<03:14,  5.22it/s]

train:  85%|████████▍ | 2986/3515 [14:23<01:41,  5.22it/s]
overall:  75%|███████▍  | 2987/4000 [14:27<03:18,  5.11it/s]

train:  85%|████████▍ | 2987/3515 [14:23<01:43,  5.11it/s]
overall:  75%|███████▍  | 2988/4000 [14:27<03:27,  4.88it/s]

train:  85%|████████▌ | 2988/3515 [14:23<01:48,  4.88it/s]
overall:  75%|███████▍  | 2989/4000 [14:27<04:27,  3.78it/s]

train:  85%|████████▌ | 2989/3515 [14:24<02:19,  3.78it/s]
overall:  75%|███████▍  | 2990/4000 [14:27<04:11,  4.02it/s]

train:  85%|████████▌ | 2990/3515 [14:24<02:10,  4.02it/s]
overall:  75%|███████▍  | 2991/4000 [14:28<03:48,  4.41it/s]

train:  85%|████████▌ | 2991/3515 [14:24<01:58,  4.41it/s]
overall:  75%|███████▍  | 2992/4000 [14:28<03:44,  4.49it/s]

train:  85%|████████▌ | 2992/3515 [14:24<01:56,  4.49it/s]
overall:  75%|███████▍  | 2993/4000 [14:28<03:42,  4.52it/s]

train:  85%|████████▌ | 2993/3515 [14:24<01:55,  4.52it/s]
overall:  75%|███████▍  | 2994/4000 [14:28<03:37,  4.63it/s]

train:  85%|████████▌ | 2994/3515 [14:25<01:52,  4.63it/s]
overall:  75%|███████▍  | 2995/4000 [14:28<03:38,  4.59it/s]

train:  85%|████████▌ | 2995/3515 [14:25<01:53,  4.59it/s]
overall:  75%|███████▍  | 2996/4000 [14:29<03:38,  4.59it/s]

train:  85%|████████▌ | 2996/3515 [14:25<01:53,  4.59it/s]
overall:  75%|███████▍  | 2997/4000 [14:29<03:40,  4.55it/s]

train:  85%|████████▌ | 2997/3515 [14:25<01:53,  4.55it/s]
overall:  75%|███████▍  | 2998/4000 [14:29<03:36,  4.63it/s]

train:  85%|████████▌ | 2998/3515 [14:26<01:51,  4.63it/s]
overall:  75%|███████▍  | 2999/4000 [14:29<03:38,  4.58it/s]

train:  85%|████████▌ | 2999/3515 [14:26<01:52,  4.58it/s]dev loss: 2.166365385055542
dev per: 0.544843912591051
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.8054370880126953
train per: 0.49161304219057106
train loss: 1.8201881647109985
train per: 0.5026434629364468
train loss: 1.860767126083374
train per: 0.49914854279180654
train loss: 1.8878087997436523
train per: 0.4994101547753869
train loss: 1.8396793603897095
train per: 0.4925912991418879
train loss: 1.8282973766326904
train per: 0.48743718592964824
train loss: 1.871824860572815
train per: 0.4961889350125472
train loss: 1.8948501348495483
train per: 0.5052090800477897
train loss: 1.8110778331756592
train per: 0.490921481769946
train loss: 1.8425066471099854
train per: 0.4916553579506226
train loss: 1.8456344604492188
train per: 0.49321535218689616
train loss: 1.8434079885482788
train per: 0.49699163777279215
train loss: 1.91606867313385
train per: 0.5121899059024807
train loss: 1.881543755531311
train per: 0.4998180274172025
train loss: 1.8223243951797485
train per: 0.4980141843971631
train loss: 1.8773183822631836
train per: 0.4983663913971856
train loss: 1.875205397605896
train per: 0.49899781131206083
train loss: 1.8482048511505127
train per: 0.5002557152355137
train loss: 1.851906418800354
train per: 0.49661077417053157
train loss: 1.8563406467437744
train per: 0.4937727237564787
train loss: 1.8369449377059937
train per: 0.4952289567674183
train loss: 1.9070653915405273
train per: 0.5058235488282171
train loss: 1.9130356311798096
train per: 0.5088425528065493
train loss: 1.8427696228027344
train per: 0.4950342705273465
train loss: 1.8292099237442017
train per: 0.4926833190394511
train loss: 1.8295456171035767
train per: 0.4938048036599314
train loss: 1.8156810998916626
train per: 0.48799376667532407
train loss: 1.8277441263198853
train per: 0.49292532015924023
train loss: 1.8258206844329834
train per: 0.4915250037171036
train loss: 1.894701361656189
train per: 0.5009667220162409
train loss: 1.8145803213119507
train per: 0.4915126892252894
train loss: 1.818253755569458
train per: 0.493842141953474
train loss: 1.8487927913665771
train per: 0.4980890235376369
train loss: 1.8405605554580688
train per: 0.49768164615654525
train loss: 1.8671534061431885
train per: 0.4978806907378336
train loss: 1.8289830684661865
train per: 0.49947609331053877
train loss: 1.877720832824707
train per: 0.5084453211687832
train loss: 1.8196885585784912
train per: 0.49021419770637853
train loss: 1.8390333652496338
train per: 0.4974543911752227
train loss: 1.8252900838851929
train per: 0.4945101668208989
train loss: 1.802600622177124
train per: 0.4905036543529061
train loss: 1.8446004390716553
train per: 0.5004722178498348
train loss: 1.8236675262451172
train per: 0.4951531497850295
train loss: 1.897457480430603
train per: 0.5011281022812735
train loss: 1.82718825340271
train per: 0.4978259744293183
train loss: 1.8599523305892944
train per: 0.49308836395450567
train loss: 1.849940299987793
train per: 0.49678665091213003
train loss: 1.888667106628418
train per: 0.5057609163139191
train loss: 1.829397439956665
train per: 0.49761429905834237
train loss: 1.8881750106811523
train per: 0.508901272314824
[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, 2299.19it/s]


word -> phonemes:  18%|█▊        | 480/2703 [00:00<00:00, 2409.95it/s]


word -> phonemes:  27%|██▋       | 722/2703 [00:00<00:00, 2395.05it/s]


word -> phonemes:  37%|███▋      | 988/2703 [00:00<00:00, 2496.61it/s]


word -> phonemes:  46%|████▌     | 1238/2703 [00:00<00:00, 2465.38it/s]


word -> phonemes:  56%|█████▌    | 1512/2703 [00:00<00:00, 2556.28it/s]


word -> phonemes:  65%|██████▌   | 1768/2703 [00:00<00:00, 2498.50it/s]


word -> phonemes:  76%|███████▋  | 2063/2703 [00:00<00:00, 2637.52it/s]


word -> phonemes:  87%|████████▋ | 2356/2703 [00:00<00:00, 2711.75it/s]


word -> phonemes:  97%|█████████▋| 2628/2703 [00:01<00:00, 2706.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2590.59it/s]



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


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train: 100%|██████████| 3515/3515 [18:10<00:00,  5.09it/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 [18:10<00:00,  3.22it/s]
dev loss: 2.16227388381958
dev per: 0.5462226847034339
train loss: 1.7941434383392334
train per: 0.4885467517837026
train loss: 1.8286941051483154
train per: 0.49465094700070955
train loss: 1.8044178485870361
train per: 0.49050817757009346
train loss: 1.8171052932739258
train per: 0.48603760270174906
train loss: 1.846674919128418
train per: 0.49478069448718254
train loss: 1.8352835178375244
train per: 0.49621712196608103
train loss: 1.7982858419418335
train per: 0.48884299602075254
train loss: 1.8707069158554077
train per: 0.49607358132609686
train loss: 1.8751413822174072
train per: 0.5005851156537111
train loss: 1.8199981451034546
train per: 0.49303409253007463
train loss: 1.8533235788345337
train per: 0.4973209133624598
train loss: 1.888418436050415
train per: 0.5005535794209794
train loss: 1.794677972793579
train per: 0.48989810038998616
train loss: 1.82392156124115
train per: 0.49303009783547763
train loss: 1.845127820968628
train per: 0.49995093710136396
train loss: 1.869757056236267
train per: 0.5003761026646304
train loss: 1.8640201091766357
train per: 0.49480596741717003
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train per: 0.49460676510629387
train loss: 1.8701976537704468
train per: 0.5062737241670181
train loss: 1.8546736240386963
train per: 0.5000271694832364
train loss: 1.8669235706329346
train per: 0.5099323171738293
train loss: 1.8915210962295532
train per: 0.5050182836691823
train loss: 1.89176344871521
train per: 0.5054081803204317
train loss: 1.8606491088867188
train per: 0.5043547110055424
train loss: 1.8804690837860107
train per: 0.5009329459836085
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   7%|▋         | 251/3515 [00:00<00:01, 2507.89it/s]

word -> phonemes:  14%|█▍        | 503/3515 [00:00<00:01, 2512.73it/s]

word -> phonemes:  22%|██▏       | 774/3515 [00:00<00:01, 2600.07it/s]

word -> phonemes:  30%|██▉       | 1044/3515 [00:00<00:00, 2636.32it/s]

word -> phonemes:  37%|███▋      | 1318/3515 [00:00<00:00, 2671.23it/s]

word -> phonemes:  45%|████▌     | 1586/3515 [00:00<00:00, 2669.21it/s]

word -> phonemes:  53%|█████▎    | 1853/3515 [00:00<00:00, 2666.95it/s]

word -> phonemes:  60%|██████    | 2120/3515 [00:00<00:00, 2615.15it/s]

word -> phonemes:  68%|██████▊   | 2382/3515 [00:00<00:00, 2607.12it/s]

word -> phonemes:  75%|███████▌  | 2653/3515 [00:01<00:00, 2638.38it/s]

word -> phonemes:  83%|████████▎ | 2917/3515 [00:01<00:00, 2613.54it/s]

word -> phonemes:  90%|█████████ | 3180/3515 [00:01<00:00, 2616.37it/s]

word -> phonemes:  98%|█████████▊| 3442/3515 [00:01<00:00, 2565.20it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2612.80it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
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overall:  88%|████████▊ | 3519/4000 [18:19<04:57,  1.62it/s]

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overall:  88%|████████▊ | 3528/4000 [18:20<01:51,  4.22it/s]

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overall:  88%|████████▊ | 3530/4000 [18:21<01:43,  4.55it/s]

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overall:  88%|████████▊ | 3531/4000 [18:21<01:43,  4.51it/s]

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overall:  88%|████████▊ | 3532/4000 [18:21<01:43,  4.53it/s]

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overall:  88%|████████▊ | 3533/4000 [18:21<01:37,  4.80it/s]

train:   1%|          | 18/3515 [00:04<11:55,  4.89it/s]
overall:  88%|████████▊ | 3534/4000 [18:22<01:39,  4.68it/s]

train:   1%|          | 19/3515 [00:05<12:18,  4.73it/s]
overall:  88%|████████▊ | 3535/4000 [18:22<01:39,  4.69it/s]

train:   1%|          | 20/3515 [00:05<12:19,  4.73it/s]
overall:  88%|████████▊ | 3536/4000 [18:22<01:38,  4.71it/s]

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overall:  88%|████████▊ | 3538/4000 [18:22<01:25,  5.41it/s]

train:   1%|          | 23/3515 [00:05<10:42,  5.43it/s]
overall:  88%|████████▊ | 3539/4000 [18:23<01:30,  5.07it/s]

train:   1%|          | 24/3515 [00:06<11:26,  5.09it/s]
overall:  88%|████████▊ | 3540/4000 [18:23<01:49,  4.22it/s]

train:   1%|          | 25/3515 [00:06<13:46,  4.22it/s]
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overall:  89%|████████▊ | 3546/4000 [18:24<01:21,  5.57it/s]

train:   1%|          | 31/3515 [00:07<10:24,  5.58it/s]
overall:  89%|████████▊ | 3547/4000 [18:24<01:26,  5.25it/s]

train:   1%|          | 32/3515 [00:07<11:02,  5.26it/s]
overall:  89%|████████▊ | 3548/4000 [18:25<01:28,  5.08it/s]

train:   1%|          | 33/3515 [00:08<11:24,  5.08it/s]
overall:  89%|████████▊ | 3549/4000 [18:25<01:30,  4.97it/s]

train:   1%|          | 34/3515 [00:08<11:40,  4.97it/s]
overall:  89%|████████▉ | 3550/4000 [18:25<01:28,  5.06it/s]

train:   1%|          | 35/3515 [00:08<11:27,  5.06it/s]
overall:  89%|████████▉ | 3551/4000 [18:25<01:34,  4.76it/s]

train:   1%|          | 36/3515 [00:08<12:10,  4.76it/s]
overall:  89%|████████▉ | 3552/4000 [18:26<01:53,  3.96it/s]

train:   1%|          | 37/3515 [00:09<14:38,  3.96it/s]
overall:  89%|████████▉ | 3553/4000 [18:26<01:48,  4.12it/s]

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overall:  89%|████████▉ | 3554/4000 [18:26<01:45,  4.24it/s]

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overall:  89%|████████▉ | 3556/4000 [18:26<01:27,  5.07it/s]

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overall:  89%|████████▉ | 3557/4000 [18:26<01:28,  4.99it/s]

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overall:  89%|████████▉ | 3558/4000 [18:27<01:30,  4.91it/s]

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overall:  89%|████████▉ | 3559/4000 [18:27<01:20,  5.50it/s]

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overall:  89%|████████▉ | 3560/4000 [18:27<01:25,  5.17it/s]

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overall:  89%|████████▉ | 3561/4000 [18:27<01:28,  4.99it/s]

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overall:  89%|████████▉ | 3562/4000 [18:27<01:30,  4.84it/s]

train:   1%|▏         | 47/3515 [00:10<11:56,  4.84it/s]
overall:  89%|████████▉ | 3563/4000 [18:28<01:23,  5.23it/s]

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overall:  89%|████████▉ | 3564/4000 [18:28<01:49,  3.98it/s]

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overall:  89%|████████▉ | 3566/4000 [18:28<01:32,  4.69it/s]

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overall:  89%|████████▉ | 3571/4000 [18:29<01:23,  5.13it/s]

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overall:  89%|████████▉ | 3572/4000 [18:29<01:26,  4.95it/s]

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overall:  89%|████████▉ | 3573/4000 [18:30<01:27,  4.88it/s]

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overall:  89%|████████▉ | 3574/4000 [18:30<01:28,  4.82it/s]

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overall:  89%|████████▉ | 3575/4000 [18:30<01:30,  4.69it/s]

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overall:  89%|████████▉ | 3576/4000 [18:31<01:51,  3.81it/s]

train:   2%|▏         | 61/3515 [00:14<15:06,  3.81it/s]
overall:  89%|████████▉ | 3577/4000 [18:31<01:43,  4.10it/s]

train:   2%|▏         | 62/3515 [00:14<14:01,  4.10it/s]
overall:  89%|████████▉ | 3578/4000 [18:31<01:40,  4.20it/s]

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overall:  89%|████████▉ | 3579/4000 [18:31<01:38,  4.28it/s]

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overall:  90%|████████▉ | 3580/4000 [18:31<01:37,  4.32it/s]

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overall:  90%|████████▉ | 3581/4000 [18:32<01:35,  4.40it/s]

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overall:  90%|████████▉ | 3582/4000 [18:32<01:34,  4.43it/s]

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overall:  90%|████████▉ | 3583/4000 [18:32<01:31,  4.55it/s]

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overall:  90%|████████▉ | 3584/4000 [18:32<01:18,  5.32it/s]

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overall:  90%|████████▉ | 3586/4000 [18:32<01:08,  6.08it/s]

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overall:  90%|████████▉ | 3587/4000 [18:33<01:13,  5.63it/s]

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overall:  90%|████████▉ | 3590/4000 [18:33<01:32,  4.43it/s]

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overall:  90%|████████▉ | 3591/4000 [18:34<01:27,  4.66it/s]

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overall:  90%|████████▉ | 3592/4000 [18:34<01:23,  4.89it/s]

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overall:  90%|████████▉ | 3593/4000 [18:34<01:25,  4.77it/s]

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overall:  90%|████████▉ | 3598/4000 [18:35<01:20,  4.99it/s]

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overall:  90%|█████████ | 3600/4000 [18:36<01:38,  4.05it/s]

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overall:  90%|█████████ | 3601/4000 [18:36<01:35,  4.18it/s]

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overall:  90%|█████████ | 3602/4000 [18:36<01:30,  4.38it/s]

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overall:  90%|█████████ | 3603/4000 [18:36<01:30,  4.40it/s]

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overall:  90%|█████████ | 3608/4000 [18:37<01:10,  5.52it/s]

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overall:  90%|█████████ | 3610/4000 [18:37<01:15,  5.18it/s]

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train:  14%|█▎        | 481/3515 [01:43<10:02,  5.03it/s]
overall: 100%|█████████▉| 3997/4000 [20:00<00:00,  4.99it/s]

train:  14%|█▎        | 482/3515 [01:43<10:08,  4.99it/s]
overall: 100%|█████████▉| 3998/4000 [20:00<00:00,  4.82it/s]

train:  14%|█▎        | 483/3515 [01:43<10:28,  4.82it/s]
overall: 100%|█████████▉| 3999/4000 [20:01<00:00,  4.85it/s]

train:  14%|█▍        | 484/3515 [01:44<10:24,  4.86it/s]train loss: 1.8472862243652344
train per: 0.4928093984200932
train loss: 1.8168967962265015
train per: 0.49509332867417954
train loss: 1.84126877784729
train per: 0.4984598935926482
train loss: 1.898754358291626
train per: 0.5024822695035461
train loss: 1.858831763267517
train per: 0.5032837183355732
train loss: 1.843271255493164
train per: 0.4981641361516324
train loss: 1.8611148595809937
train per: 0.49601835915088927
train loss: 1.8353769779205322
train per: 0.5003828679360866
train loss: 1.8507999181747437
train per: 0.5075657224373344
train loss: 1.860248327255249
train per: 0.5044658991171459
train loss: 1.8543351888656616
train per: 0.49938835532651416
train loss: 1.8869171142578125
train per: 0.499442213297635
train loss: 1.8191964626312256
train per: 0.4916698172652804
train loss: 1.8584827184677124
train per: 0.49622804040825913
train loss: 1.8928096294403076
train per: 0.5054122849870156
train loss: 1.8360058069229126
train per: 0.49988574910503464
train loss: 1.8271974325180054
train per: 0.4974631791537363
train loss: 1.8388200998306274
train per: 0.4944859057850454
train loss: 1.8561509847640991
train per: 0.4990378447722899
train loss: 1.8295469284057617
train per: 0.48947306928379486
train loss: 1.8433459997177124
train per: 0.4966168091168091
train loss: 1.8503875732421875
train per: 0.4968232958305758
train loss: 1.8545325994491577
train per: 0.4997259359881795
train loss: 1.84073007106781
train per: 0.4936782727095896
train loss: 1.8271265029907227
train per: 0.4874176450190717
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 208/2703 [00:00<00:01, 2069.77it/s]


word -> phonemes:  17%|█▋        | 446/2703 [00:00<00:01, 2248.57it/s]


word -> phonemes:  27%|██▋       | 717/2703 [00:00<00:00, 2458.58it/s]


word -> phonemes:  37%|███▋      | 998/2703 [00:00<00:00, 2594.46it/s]


word -> phonemes:  47%|████▋     | 1258/2703 [00:00<00:00, 2518.61it/s]


word -> phonemes:  56%|█████▌    | 1511/2703 [00:00<00:00, 2518.49it/s]


word -> phonemes:  66%|██████▌   | 1790/2703 [00:00<00:00, 2604.57it/s]


word -> phonemes:  76%|███████▌  | 2051/2703 [00:00<00:00, 2584.72it/s]


word -> phonemes:  85%|████████▌ | 2310/2703 [00:00<00:00, 2551.70it/s]


word -> phonemes:  96%|█████████▌| 2585/2703 [00:01<00:00, 2611.09it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2534.50it/s]



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overall: 100%|█████████▉| 3999/4000 [21:53<00:00,  4.85it/s]

train:  14%|█▍        | 484/3515 [03:36<10:24,  4.86it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:53<00:00,  4.85it/s]

train:  14%|█▍        | 484/3515 [03:36<10:24,  4.86it/s]
overall: 100%|██████████| 4000/4000 [21:53<00:00, 30.55s/it]

train:  14%|█▍        | 485/3515 [03:36<25:42:47, 30.55s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:36<22:33,  2.24it/s]   

overall: 100%|██████████| 4000/4000 [21:53<00:00,  3.05it/s]
dev loss: 2.1714138984680176
dev per: 0.5464151925078043
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt