/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")
2023-09-23 00:58:05 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
[Featurizer] - The selected feature hidden_states's downsample rate is 960
[Runner] - Start a new experiment
mert_test_8x_400k_encode {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_test_8x_400k_encode
load local model succeed
load local feat extractor
Wav2Vec2FeatureExtractor {
  "do_normalize": false,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0,
  "return_attention_mask": true,
  "sampling_rate": 24000
}


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


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

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word -> phonemes:  79%|███████▉  | 2781/3515 [00:01<00:00, 1924.51it/s]

word -> phonemes:  85%|████████▍ | 2975/3515 [00:01<00:00, 1822.36it/s]

word -> phonemes:  91%|█████████ | 3198/3515 [00:01<00:00, 1932.48it/s]

word -> phonemes:  99%|█████████▊| 3471/3515 [00:01<00:00, 2154.91it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2204.74it/s]


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train:   4%|▍         | 155/3515 [00:33<11:38,  4.81it/s]
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train:   5%|▍         | 159/3515 [00:33<11:26,  4.89it/s]
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train:   5%|▍         | 163/3515 [00:34<11:50,  4.72it/s]
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train:   5%|▍         | 164/3515 [00:34<11:56,  4.67it/s]
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train:   5%|▌         | 180/3515 [00:38<11:56,  4.65it/s]
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train:   5%|▌         | 181/3515 [00:38<12:30,  4.44it/s]
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train:   5%|▌         | 182/3515 [00:38<12:04,  4.60it/s]
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train:   5%|▌         | 183/3515 [00:39<12:13,  4.54it/s]
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train:   5%|▌         | 185/3515 [00:39<10:43,  5.17it/s]
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train:   5%|▌         | 186/3515 [00:39<11:03,  5.02it/s]
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train:   5%|▌         | 187/3515 [00:39<11:06,  4.99it/s]
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train:   5%|▌         | 188/3515 [00:39<11:06,  4.99it/s]
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train:   5%|▌         | 189/3515 [00:40<11:20,  4.89it/s]
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overall:  11%|█         | 422/4000 [01:33<13:21,  4.46it/s]

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overall:  13%|█▎        | 531/4000 [01:57<12:15,  4.72it/s]

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overall:  13%|█▎        | 532/4000 [01:57<12:29,  4.63it/s]

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overall:  13%|█▎        | 533/4000 [01:57<12:21,  4.68it/s]

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overall:  13%|█▎        | 534/4000 [01:57<10:50,  5.33it/s]

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overall:  13%|█▎        | 535/4000 [01:57<11:14,  5.14it/s]

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overall:  13%|█▎        | 536/4000 [01:58<11:02,  5.22it/s]

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overall:  13%|█▎        | 537/4000 [01:58<11:24,  5.06it/s]

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overall:  13%|█▎        | 538/4000 [01:58<10:05,  5.71it/s]

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overall:  13%|█▎        | 539/4000 [01:58<10:46,  5.35it/s]

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overall:  14%|█▎        | 540/4000 [01:58<11:15,  5.12it/s]

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overall:  14%|█▎        | 541/4000 [01:59<12:44,  4.52it/s]

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overall:  14%|█▎        | 542/4000 [01:59<12:39,  4.55it/s]

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overall:  14%|█▎        | 543/4000 [01:59<16:40,  3.46it/s]

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overall:  14%|█▎        | 544/4000 [02:00<15:25,  3.74it/s]

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overall:  14%|█▎        | 545/4000 [02:00<14:25,  3.99it/s]

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overall:  14%|█▎        | 546/4000 [02:00<13:47,  4.17it/s]

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overall:  14%|█▎        | 547/4000 [02:00<12:58,  4.44it/s]

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overall:  14%|█▎        | 548/4000 [02:00<12:30,  4.60it/s]

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overall:  14%|█▎        | 549/4000 [02:01<12:20,  4.66it/s]

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overall:  14%|█▍        | 550/4000 [02:01<12:13,  4.71it/s]

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overall:  14%|█▍        | 551/4000 [02:01<12:14,  4.69it/s]

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overall:  14%|█▍        | 552/4000 [02:01<12:13,  4.70it/s]

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overall:  14%|█▍        | 554/4000 [02:02<12:15,  4.68it/s]

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overall:  14%|█▍        | 555/4000 [02:02<12:20,  4.65it/s]

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overall:  14%|█▍        | 556/4000 [02:02<12:20,  4.65it/s]

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overall:  14%|█▍        | 558/4000 [02:02<11:37,  4.93it/s]

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overall:  14%|█▍        | 559/4000 [02:03<11:44,  4.88it/s]

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overall:  14%|█▍        | 560/4000 [02:03<11:57,  4.79it/s]

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overall:  14%|█▍        | 561/4000 [02:03<11:55,  4.81it/s]

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overall:  14%|█▍        | 562/4000 [02:03<12:18,  4.65it/s]

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overall:  14%|█▍        | 563/4000 [02:03<12:16,  4.67it/s]

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overall:  14%|█▍        | 564/4000 [02:04<12:06,  4.73it/s]

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overall:  14%|█▍        | 565/4000 [02:04<14:58,  3.82it/s]

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overall:  14%|█▍        | 566/4000 [02:04<14:27,  3.96it/s]

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overall:  14%|█▍        | 567/4000 [02:05<15:45,  3.63it/s]

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overall:  14%|█▍        | 568/4000 [02:05<14:58,  3.82it/s]

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overall:  14%|█▍        | 569/4000 [02:05<14:09,  4.04it/s]

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overall:  14%|█▍        | 571/4000 [02:05<10:22,  5.51it/s]

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overall:  14%|█▍        | 573/4000 [02:06<10:55,  5.23it/s]

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overall:  14%|█▍        | 574/4000 [02:06<11:10,  5.11it/s]

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overall:  14%|█▍        | 575/4000 [02:06<10:25,  5.47it/s]

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overall:  14%|█▍        | 576/4000 [02:06<10:59,  5.19it/s]

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overall:  14%|█▍        | 580/4000 [02:07<11:17,  5.04it/s]

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train:  28%|██▊       | 990/3515 [03:32<08:35,  4.90it/s]
overall:  25%|██▍       | 991/4000 [03:35<10:21,  4.84it/s]

train:  28%|██▊       | 991/3515 [03:32<08:41,  4.84it/s]
overall:  25%|██▍       | 992/4000 [03:35<10:22,  4.84it/s]

train:  28%|██▊       | 992/3515 [03:32<08:41,  4.84it/s]
overall:  25%|██▍       | 993/4000 [03:35<10:23,  4.82it/s]

train:  28%|██▊       | 993/3515 [03:32<08:43,  4.82it/s]
overall:  25%|██▍       | 994/4000 [03:36<10:21,  4.83it/s]

train:  28%|██▊       | 994/3515 [03:33<08:41,  4.83it/s]
overall:  25%|██▍       | 995/4000 [03:36<10:43,  4.67it/s]

train:  28%|██▊       | 995/3515 [03:33<08:59,  4.67it/s]
overall:  25%|██▍       | 996/4000 [03:36<10:34,  4.73it/s]

train:  28%|██▊       | 996/3515 [03:33<08:52,  4.73it/s]
overall:  25%|██▍       | 997/4000 [03:36<14:02,  3.56it/s]

train:  28%|██▊       | 997/3515 [03:33<11:46,  3.56it/s]
overall:  25%|██▍       | 998/4000 [03:37<13:01,  3.84it/s]

train:  28%|██▊       | 998/3515 [03:34<10:55,  3.84it/s]
overall:  25%|██▍       | 999/4000 [03:37<15:13,  3.29it/s]

train:  28%|██▊       | 999/3515 [03:34<12:45,  3.29it/s]train loss: 4.070924758911133
train per: 0.9806059307278133
train loss: 3.5057220458984375
train per: 0.8567044321117107
train loss: 3.3549492359161377
train per: 0.8159021883030917
train loss: 3.311297655105591
train per: 0.8146375003183173
train loss: 3.30043363571167
train per: 0.8112086177276315
train loss: 3.355361223220825
train per: 0.8233127184727077
train loss: 3.286581039428711
train per: 0.8132744658015416
train loss: 3.327589750289917
train per: 0.8212235569256936
train loss: 3.255586624145508
train per: 0.8019317794754514
train loss: 3.274426221847534
train per: 0.823184434091532
train loss: 3.288377285003662
train per: 0.8152234011742714
train loss: 3.2844882011413574
train per: 0.8120107026062828
train loss: 3.304412841796875
train per: 0.8141511655286084
train loss: 3.2871735095977783
train per: 0.8110456652706546
train loss: 3.2376644611358643
train per: 0.8068328977419886
train loss: 3.25288462638855
train per: 0.8100279199627733
train loss: 3.237105131149292
train per: 0.8143869849041208
train loss: 3.2924752235412598
train per: 0.8116837719175592
train loss: 3.280780792236328
train per: 0.8111830326401323
train loss: 3.2516021728515625
train per: 0.8094255072755652
train loss: 3.228647232055664
train per: 0.8086019383955214
train loss: 3.277010440826416
train per: 0.8092367965041815
train loss: 3.246990919113159
train per: 0.8014844745048092
train loss: 3.246004581451416
train per: 0.8064849285456948
train loss: 3.2469184398651123
train per: 0.8021534620357573
train loss: 3.2356479167938232
train per: 0.8040025823111685
train loss: 3.2445080280303955
train per: 0.8121056782334385
train loss: 3.2152819633483887
train per: 0.8021780238306792
train loss: 3.230665683746338
train per: 0.8036442538952212
train loss: 3.2256462574005127
train per: 0.808949758660865
train loss: 3.2455897331237793
train per: 0.8061099502846026
train loss: 3.2301933765411377
train per: 0.8064468720913144
train loss: 3.2521233558654785
train per: 0.8108260820431687
train loss: 3.2438483238220215
train per: 0.8094173899485474
train loss: 3.2373714447021484
train per: 0.8100910429046503
train loss: 3.259570360183716
train per: 0.8179878405237928
train loss: 3.2710800170898438
train per: 0.8028192138099259
train loss: 3.2610836029052734
train per: 0.8056881176187033
train loss: 3.2285876274108887
train per: 0.8045166363591685
train loss: 3.287804365158081
train per: 0.8069654995211512
train loss: 3.2592270374298096
train per: 0.8111993645750596
train loss: 3.2568912506103516
train per: 0.8128789120104867
train loss: 3.2305972576141357
train per: 0.8056703014753047
train loss: 3.260453701019287
train per: 0.8075591824360173
train loss: 3.2456231117248535
train per: 0.8031790084521256
train loss: 3.2328407764434814
train per: 0.8036122542295382
train loss: 3.2772774696350098
train per: 0.810005170630817
train loss: 3.2355103492736816
train per: 0.8076995761453525
train loss: 3.2263379096984863
train per: 0.8061321963607558
train loss: 3.2222583293914795
train per: 0.8103861452182721
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|▉         | 260/2703 [00:00<00:00, 2597.69it/s]


word -> phonemes:  21%|██▏       | 577/2703 [00:00<00:00, 2932.23it/s]


word -> phonemes:  33%|███▎      | 902/2703 [00:00<00:00, 3073.23it/s]


word -> phonemes:  45%|████▍     | 1210/2703 [00:00<00:00, 3006.86it/s]


word -> phonemes:  56%|█████▌    | 1512/2703 [00:00<00:00, 3008.46it/s]


word -> phonemes:  68%|██████▊   | 1845/2703 [00:00<00:00, 3115.72it/s]


word -> phonemes:  80%|███████▉  | 2157/2703 [00:00<00:00, 2949.91it/s]


word -> phonemes:  92%|█████████▏| 2474/2703 [00:00<00:00, 3014.52it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3005.22it/s]



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train:  55%|█████▌    | 1941/3515 [08:50<05:28,  4.79it/s]
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overall:  49%|████▊     | 1945/4000 [08:53<07:08,  4.80it/s]

train:  55%|█████▌    | 1945/3515 [08:50<05:27,  4.80it/s]
overall:  49%|████▊     | 1946/4000 [08:54<07:19,  4.67it/s]

train:  55%|█████▌    | 1946/3515 [08:51<05:35,  4.67it/s]
overall:  49%|████▊     | 1948/4000 [08:54<06:25,  5.32it/s]

train:  55%|█████▌    | 1948/3515 [08:51<04:54,  5.32it/s]
overall:  49%|████▊     | 1949/4000 [08:54<06:38,  5.14it/s]

train:  55%|█████▌    | 1949/3515 [08:51<05:04,  5.14it/s]
overall:  49%|████▉     | 1950/4000 [08:54<06:56,  4.92it/s]

train:  55%|█████▌    | 1950/3515 [08:51<05:17,  4.92it/s]
overall:  49%|████▉     | 1951/4000 [08:55<07:48,  4.37it/s]

train:  56%|█████▌    | 1951/3515 [08:52<05:57,  4.37it/s]
overall:  49%|████▉     | 1952/4000 [08:55<07:42,  4.42it/s]

train:  56%|█████▌    | 1952/3515 [08:52<05:53,  4.42it/s]
overall:  49%|████▉     | 1953/4000 [08:55<07:41,  4.44it/s]

train:  56%|█████▌    | 1953/3515 [08:52<05:51,  4.44it/s]
overall:  49%|████▉     | 1954/4000 [08:55<07:44,  4.41it/s]

train:  56%|█████▌    | 1954/3515 [08:52<05:54,  4.41it/s]
overall:  49%|████▉     | 1955/4000 [08:56<07:27,  4.57it/s]

train:  56%|█████▌    | 1955/3515 [08:53<05:41,  4.57it/s]
overall:  49%|████▉     | 1956/4000 [08:56<07:16,  4.68it/s]

train:  56%|█████▌    | 1956/3515 [08:53<05:32,  4.68it/s]
overall:  49%|████▉     | 1957/4000 [08:56<07:30,  4.53it/s]

train:  56%|█████▌    | 1957/3515 [08:53<05:43,  4.53it/s]
overall:  49%|████▉     | 1958/4000 [08:56<08:16,  4.12it/s]

train:  56%|█████▌    | 1958/3515 [08:53<06:18,  4.12it/s]
overall:  49%|████▉     | 1959/4000 [08:57<08:52,  3.83it/s]

train:  56%|█████▌    | 1959/3515 [08:54<06:46,  3.83it/s]
overall:  49%|████▉     | 1960/4000 [08:57<08:32,  3.98it/s]

train:  56%|█████▌    | 1960/3515 [08:54<06:30,  3.98it/s]
overall:  49%|████▉     | 1961/4000 [08:57<08:18,  4.09it/s]

train:  56%|█████▌    | 1961/3515 [08:54<06:20,  4.09it/s]
overall:  49%|████▉     | 1962/4000 [08:57<08:06,  4.19it/s]

train:  56%|█████▌    | 1962/3515 [08:54<06:10,  4.19it/s]
overall:  49%|████▉     | 1963/4000 [08:57<07:58,  4.26it/s]

train:  56%|█████▌    | 1963/3515 [08:55<06:04,  4.26it/s]
overall:  49%|████▉     | 1964/4000 [08:58<07:37,  4.45it/s]

train:  56%|█████▌    | 1964/3515 [08:55<05:48,  4.45it/s]
overall:  49%|████▉     | 1965/4000 [08:58<07:38,  4.44it/s]

train:  56%|█████▌    | 1965/3515 [08:55<05:49,  4.44it/s]
overall:  49%|████▉     | 1966/4000 [08:58<07:26,  4.55it/s]

train:  56%|█████▌    | 1966/3515 [08:55<05:40,  4.55it/s]
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train:  56%|█████▌    | 1967/3515 [08:56<06:23,  4.04it/s]
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train:  56%|█████▌    | 1968/3515 [08:56<05:58,  4.32it/s]
overall:  49%|████▉     | 1969/4000 [08:59<07:48,  4.34it/s]

train:  56%|█████▌    | 1969/3515 [08:56<05:56,  4.34it/s]
overall:  49%|████▉     | 1970/4000 [08:59<07:46,  4.35it/s]

train:  56%|█████▌    | 1970/3515 [08:56<05:54,  4.35it/s]
overall:  49%|████▉     | 1971/4000 [08:59<07:46,  4.35it/s]

train:  56%|█████▌    | 1971/3515 [08:56<05:55,  4.35it/s]
overall:  49%|████▉     | 1972/4000 [09:00<07:36,  4.44it/s]

train:  56%|█████▌    | 1972/3515 [08:57<05:47,  4.44it/s]
overall:  49%|████▉     | 1973/4000 [09:00<07:32,  4.48it/s]

train:  56%|█████▌    | 1973/3515 [08:57<05:43,  4.48it/s]
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train:  56%|█████▌    | 1974/3515 [08:57<05:47,  4.43it/s]
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train:  56%|█████▌    | 1975/3515 [08:57<06:15,  4.10it/s]
overall:  49%|████▉     | 1976/4000 [09:00<07:56,  4.25it/s]

train:  56%|█████▌    | 1976/3515 [08:58<06:02,  4.25it/s]
overall:  49%|████▉     | 1977/4000 [09:01<07:47,  4.32it/s]

train:  56%|█████▌    | 1977/3515 [08:58<05:55,  4.32it/s]
overall:  49%|████▉     | 1978/4000 [09:01<07:29,  4.50it/s]

train:  56%|█████▋    | 1978/3515 [08:58<05:41,  4.50it/s]
overall:  49%|████▉     | 1979/4000 [09:01<06:58,  4.83it/s]

train:  56%|█████▋    | 1979/3515 [08:58<05:17,  4.83it/s]
overall:  50%|████▉     | 1980/4000 [09:01<07:25,  4.54it/s]

train:  56%|█████▋    | 1980/3515 [08:58<05:38,  4.54it/s]
overall:  50%|████▉     | 1981/4000 [09:01<06:42,  5.02it/s]

train:  56%|█████▋    | 1981/3515 [08:59<05:05,  5.02it/s]
overall:  50%|████▉     | 1982/4000 [09:02<07:37,  4.41it/s]

train:  56%|█████▋    | 1982/3515 [08:59<05:47,  4.41it/s]
overall:  50%|████▉     | 1983/4000 [09:02<06:50,  4.91it/s]

train:  56%|█████▋    | 1983/3515 [08:59<05:11,  4.91it/s]
overall:  50%|████▉     | 1984/4000 [09:02<07:01,  4.78it/s]

train:  56%|█████▋    | 1984/3515 [08:59<05:20,  4.78it/s]
overall:  50%|████▉     | 1985/4000 [09:02<07:16,  4.61it/s]

train:  56%|█████▋    | 1985/3515 [08:59<05:31,  4.61it/s]
overall:  50%|████▉     | 1986/4000 [09:02<06:12,  5.40it/s]

train:  57%|█████▋    | 1986/3515 [09:00<04:43,  5.40it/s]
overall:  50%|████▉     | 1987/4000 [09:03<06:26,  5.21it/s]

train:  57%|█████▋    | 1987/3515 [09:00<04:53,  5.21it/s]
overall:  50%|████▉     | 1988/4000 [09:03<07:37,  4.40it/s]

train:  57%|█████▋    | 1988/3515 [09:00<05:47,  4.40it/s]
overall:  50%|████▉     | 1989/4000 [09:03<07:39,  4.37it/s]

train:  57%|█████▋    | 1989/3515 [09:00<05:49,  4.37it/s]
overall:  50%|████▉     | 1990/4000 [09:03<07:39,  4.37it/s]

train:  57%|█████▋    | 1990/3515 [09:01<05:48,  4.37it/s]
overall:  50%|████▉     | 1991/4000 [09:04<08:04,  4.15it/s]

train:  57%|█████▋    | 1991/3515 [09:01<06:07,  4.15it/s]
overall:  50%|████▉     | 1992/4000 [09:04<06:59,  4.79it/s]

train:  57%|█████▋    | 1992/3515 [09:01<05:18,  4.79it/s]
overall:  50%|████▉     | 1993/4000 [09:04<07:12,  4.64it/s]

train:  57%|█████▋    | 1993/3515 [09:01<05:28,  4.64it/s]
overall:  50%|████▉     | 1994/4000 [09:04<07:13,  4.62it/s]

train:  57%|█████▋    | 1994/3515 [09:01<05:28,  4.62it/s]
overall:  50%|████▉     | 1995/4000 [09:05<07:45,  4.31it/s]

train:  57%|█████▋    | 1995/3515 [09:02<05:52,  4.31it/s]
overall:  50%|████▉     | 1996/4000 [09:05<07:34,  4.41it/s]

train:  57%|█████▋    | 1996/3515 [09:02<05:44,  4.41it/s]
overall:  50%|████▉     | 1997/4000 [09:05<07:30,  4.44it/s]

train:  57%|█████▋    | 1997/3515 [09:02<05:41,  4.44it/s]
overall:  50%|████▉     | 1998/4000 [09:05<07:27,  4.47it/s]

train:  57%|█████▋    | 1998/3515 [09:02<05:39,  4.47it/s]
overall:  50%|████▉     | 1999/4000 [09:05<07:30,  4.44it/s]

train:  57%|█████▋    | 1999/3515 [09:03<05:41,  4.44it/s]dev loss: 3.337634563446045
dev per: 0.8333818938605619
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.2278430461883545
train per: 0.8099376057796751
train loss: 3.2473807334899902
train per: 0.8166876178504086
train loss: 3.2414512634277344
train per: 0.8061280320992158
train loss: 3.224807024002075
train per: 0.8075422264340264
train loss: 3.2572734355926514
train per: 0.8034832756632064
train loss: 3.2366535663604736
train per: 0.8035881581412778
train loss: 3.241758346557617
train per: 0.8159626846333247
train loss: 3.2245841026306152
train per: 0.8090119053599236
train loss: 3.237119674682617
train per: 0.804251465611744
train loss: 3.248350143432617
train per: 0.8084085337228105
train loss: 3.2406787872314453
train per: 0.8039301612196416
train loss: 3.225658893585205
train per: 0.8067484662576687
train loss: 3.2435193061828613
train per: 0.8040242976461656
train loss: 3.2256789207458496
train per: 0.813054815801154
train loss: 3.21502947807312
train per: 0.8114250024022293
train loss: 3.246445417404175
train per: 0.8043880582476989
train loss: 3.2289395332336426
train per: 0.8075759299283358
train loss: 3.234966993331909
train per: 0.8128927743485183
train loss: 3.2267403602600098
train per: 0.81189222830174
train loss: 3.237231731414795
train per: 0.8080249048772051
train loss: 3.221860408782959
train per: 0.8023846323691765
train loss: 3.23503041267395
train per: 0.8082061301746245
train loss: 3.218456983566284
train per: 0.8075751556085287
train loss: 3.2322869300842285
train per: 0.8014915447463424
train loss: 3.264118194580078
train per: 0.8093340783751609
train loss: 3.2329444885253906
train per: 0.8146565586951527
train loss: 3.269824266433716
train per: 0.817022426371251
train loss: 3.2324187755584717
train per: 0.8048503489885248
train loss: 3.2515060901641846
train per: 0.7992097449206238
train loss: 3.2225944995880127
train per: 0.8024524167138601
train loss: 3.2332444190979004
train per: 0.8105168654610748
train loss: 3.2721991539001465
train per: 0.8105104447849031
train loss: 3.268463134765625
train per: 0.809109778597786
train loss: 3.25671648979187
train per: 0.8116438356164384
train loss: 3.228588581085205
train per: 0.8014288817552074
train loss: 3.2824008464813232
train per: 0.8137914391722724
train loss: 3.2605578899383545
train per: 0.8218305372690593
train loss: 3.2372207641601562
train per: 0.8086458048986277
train loss: 3.2327675819396973
train per: 0.8108630547236592
train loss: 3.255141496658325
train per: 0.8108245516731374
train loss: 3.221146821975708
train per: 0.8009710920289529
train loss: 3.252195358276367
train per: 0.8098801625263591
train loss: 3.246117115020752
train per: 0.8025791674965146
train loss: 3.224658250808716
train per: 0.8030532043530835
train loss: 3.21916127204895
train per: 0.8046985630382802
train loss: 3.2277560234069824
train per: 0.8067953626603122
train loss: 3.2353787422180176
train per: 0.8029470034670629
train loss: 3.22355580329895
train per: 0.8064478746581375
train loss: 3.2056682109832764
train per: 0.8033458843715743
train loss: 3.215172290802002
train per: 0.8069224252692727
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 294/2703 [00:00<00:00, 2931.47it/s]


word -> phonemes:  22%|██▏       | 594/2703 [00:00<00:00, 2971.55it/s]


word -> phonemes:  33%|███▎      | 892/2703 [00:00<00:01, 1483.68it/s]


word -> phonemes:  43%|████▎     | 1174/2703 [00:00<00:00, 1810.74it/s]


word -> phonemes:  55%|█████▍    | 1483/2703 [00:00<00:00, 2140.84it/s]


word -> phonemes:  66%|██████▌   | 1772/2703 [00:00<00:00, 2341.79it/s]


word -> phonemes:  78%|███████▊  | 2097/2703 [00:00<00:00, 2565.48it/s]


word -> phonemes:  88%|████████▊ | 2386/2703 [00:01<00:00, 2654.91it/s]


word -> phonemes:  99%|█████████▉| 2672/2703 [00:01<00:00, 2660.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2364.11it/s]



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


dev:   0%|          | 1/2703 [00:01<59:14,  1.32s/it]


dev:   0%|          | 3/2703 [00:01<17:47,  2.53it/s]


dev:   0%|          | 5/2703 [00:01<10:03,  4.47it/s]


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dev:   0%|          | 13/2703 [00:02<03:57, 11.34it/s]


dev:   1%|          | 15/2703 [00:02<03:43, 12.03it/s]


dev:   1%|          | 17/2703 [00:02<03:26, 13.02it/s]


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dev:   1%|          | 23/2703 [00:02<02:53, 15.47it/s]


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dev:   1%|          | 29/2703 [00:03<02:49, 15.79it/s]


dev:   1%|          | 31/2703 [00:03<02:41, 16.54it/s]


dev:   1%|          | 33/2703 [00:03<02:46, 16.07it/s]


dev:   1%|▏         | 35/2703 [00:03<02:36, 17.06it/s]


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dev:   2%|▏         | 54/2703 [00:04<02:23, 18.42it/s]


dev:   2%|▏         | 57/2703 [00:04<02:14, 19.72it/s]


dev:   2%|▏         | 59/2703 [00:04<02:17, 19.17it/s]


dev:   2%|▏         | 62/2703 [00:04<02:18, 19.12it/s]


dev:   2%|▏         | 64/2703 [00:05<02:25, 18.13it/s]


dev:   2%|▏         | 66/2703 [00:05<02:28, 17.73it/s]


dev:   3%|▎         | 68/2703 [00:05<02:28, 17.74it/s]


dev:   3%|▎         | 70/2703 [00:05<02:23, 18.32it/s]


dev:   3%|▎         | 72/2703 [00:05<02:23, 18.35it/s]


dev:   3%|▎         | 74/2703 [00:05<02:23, 18.38it/s]


dev:   3%|▎         | 76/2703 [00:05<02:25, 18.01it/s]


dev:   3%|▎         | 78/2703 [00:05<02:23, 18.30it/s]


dev:   3%|▎         | 80/2703 [00:05<02:19, 18.76it/s]


dev:   3%|▎         | 82/2703 [00:06<02:27, 17.81it/s]


dev:   3%|▎         | 85/2703 [00:06<02:22, 18.43it/s]


dev:   3%|▎         | 87/2703 [00:06<02:21, 18.45it/s]


dev:   3%|▎         | 89/2703 [00:06<02:28, 17.57it/s]


dev:   3%|▎         | 92/2703 [00:06<02:21, 18.48it/s]


dev:   3%|▎         | 94/2703 [00:06<02:23, 18.20it/s]


dev:   4%|▎         | 97/2703 [00:06<02:20, 18.54it/s]


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dev:   4%|▎         | 101/2703 [00:07<02:26, 17.81it/s]


dev:   4%|▍         | 104/2703 [00:07<02:16, 19.10it/s]


dev:   4%|▍         | 106/2703 [00:07<02:20, 18.48it/s]


dev:   4%|▍         | 108/2703 [00:07<02:30, 17.19it/s]


dev:   4%|▍         | 111/2703 [00:07<02:18, 18.76it/s]


dev:   4%|▍         | 113/2703 [00:07<02:17, 18.88it/s]


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dev:   4%|▍         | 118/2703 [00:07<02:20, 18.38it/s]


dev:   4%|▍         | 120/2703 [00:08<02:19, 18.53it/s]


dev:   5%|▍         | 122/2703 [00:08<02:17, 18.73it/s]


dev:   5%|▍         | 125/2703 [00:08<02:14, 19.21it/s]


dev:   5%|▍         | 127/2703 [00:08<02:20, 18.37it/s]


dev:   5%|▍         | 130/2703 [00:08<02:08, 19.99it/s]


dev:   5%|▍         | 132/2703 [00:08<02:16, 18.77it/s]


dev:   5%|▍         | 134/2703 [00:08<02:16, 18.89it/s]


dev:   5%|▌         | 136/2703 [00:08<02:16, 18.76it/s]


dev:   5%|▌         | 139/2703 [00:09<02:07, 20.11it/s]


dev:   5%|▌         | 142/2703 [00:09<02:06, 20.32it/s]


dev:   5%|▌         | 145/2703 [00:09<02:08, 19.92it/s]


dev:   5%|▌         | 148/2703 [00:09<02:06, 20.25it/s]


dev:   6%|▌         | 151/2703 [00:09<02:05, 20.41it/s]


dev:   6%|▌         | 154/2703 [00:09<02:03, 20.62it/s]


dev:   6%|▌         | 157/2703 [00:09<02:05, 20.34it/s]


dev:   6%|▌         | 160/2703 [00:10<02:12, 19.16it/s]


dev:   6%|▌         | 162/2703 [00:10<02:12, 19.18it/s]


dev:   6%|▌         | 164/2703 [00:10<02:15, 18.71it/s]


dev:   6%|▌         | 167/2703 [00:10<02:09, 19.59it/s]


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train:  84%|████████▍ | 2964/3515 [14:24<02:06,  4.35it/s]
overall:  74%|███████▍  | 2965/4000 [14:28<03:53,  4.43it/s]

train:  84%|████████▍ | 2965/3515 [14:25<02:04,  4.43it/s]
overall:  74%|███████▍  | 2966/4000 [14:28<03:49,  4.51it/s]

train:  84%|████████▍ | 2966/3515 [14:25<02:01,  4.51it/s]
overall:  74%|███████▍  | 2967/4000 [14:28<04:08,  4.16it/s]

train:  84%|████████▍ | 2967/3515 [14:25<02:11,  4.16it/s]
overall:  74%|███████▍  | 2968/4000 [14:28<04:02,  4.25it/s]

train:  84%|████████▍ | 2968/3515 [14:25<02:08,  4.25it/s]
overall:  74%|███████▍  | 2970/4000 [14:29<03:18,  5.19it/s]

train:  84%|████████▍ | 2970/3515 [14:26<01:45,  5.19it/s]
overall:  74%|███████▍  | 2971/4000 [14:29<03:27,  4.95it/s]

train:  85%|████████▍ | 2971/3515 [14:26<01:49,  4.95it/s]
overall:  74%|███████▍  | 2972/4000 [14:29<03:34,  4.79it/s]

train:  85%|████████▍ | 2972/3515 [14:26<01:53,  4.79it/s]
overall:  74%|███████▍  | 2973/4000 [14:29<03:35,  4.77it/s]

train:  85%|████████▍ | 2973/3515 [14:26<01:53,  4.77it/s]
overall:  74%|███████▍  | 2974/4000 [14:29<03:35,  4.75it/s]

train:  85%|████████▍ | 2974/3515 [14:27<01:53,  4.75it/s]
overall:  74%|███████▍  | 2975/4000 [14:30<04:11,  4.07it/s]

train:  85%|████████▍ | 2975/3515 [14:27<02:12,  4.07it/s]
overall:  74%|███████▍  | 2976/4000 [14:30<03:57,  4.32it/s]

train:  85%|████████▍ | 2976/3515 [14:27<02:04,  4.32it/s]
overall:  74%|███████▍  | 2977/4000 [14:30<03:54,  4.36it/s]

train:  85%|████████▍ | 2977/3515 [14:27<02:03,  4.36it/s]
overall:  74%|███████▍  | 2978/4000 [14:30<03:53,  4.38it/s]

train:  85%|████████▍ | 2978/3515 [14:28<02:02,  4.38it/s]
overall:  74%|███████▍  | 2979/4000 [14:31<03:45,  4.52it/s]

train:  85%|████████▍ | 2979/3515 [14:28<01:58,  4.52it/s]
overall:  74%|███████▍  | 2980/4000 [14:31<03:42,  4.58it/s]

train:  85%|████████▍ | 2980/3515 [14:28<01:56,  4.58it/s]
overall:  75%|███████▍  | 2982/4000 [14:31<02:54,  5.83it/s]

train:  85%|████████▍ | 2982/3515 [14:28<01:31,  5.83it/s]
overall:  75%|███████▍  | 2983/4000 [14:31<03:12,  5.28it/s]

train:  85%|████████▍ | 2983/3515 [14:28<01:40,  5.28it/s]
overall:  75%|███████▍  | 2984/4000 [14:32<03:14,  5.22it/s]

train:  85%|████████▍ | 2984/3515 [14:29<01:41,  5.22it/s]
overall:  75%|███████▍  | 2985/4000 [14:32<03:21,  5.04it/s]

train:  85%|████████▍ | 2985/3515 [14:29<01:45,  5.04it/s]
overall:  75%|███████▍  | 2986/4000 [14:32<03:36,  4.68it/s]

train:  85%|████████▍ | 2986/3515 [14:29<01:52,  4.68it/s]
overall:  75%|███████▍  | 2987/4000 [14:32<03:50,  4.40it/s]

train:  85%|████████▍ | 2987/3515 [14:29<01:59,  4.40it/s]
overall:  75%|███████▍  | 2988/4000 [14:32<03:49,  4.41it/s]

train:  85%|████████▌ | 2988/3515 [14:30<01:59,  4.41it/s]
overall:  75%|███████▍  | 2989/4000 [14:33<03:47,  4.44it/s]

train:  85%|████████▌ | 2989/3515 [14:30<01:58,  4.44it/s]
overall:  75%|███████▍  | 2990/4000 [14:33<03:43,  4.53it/s]

train:  85%|████████▌ | 2990/3515 [14:30<01:55,  4.53it/s]
overall:  75%|███████▍  | 2991/4000 [14:33<03:43,  4.51it/s]

train:  85%|████████▌ | 2991/3515 [14:30<01:56,  4.51it/s]
overall:  75%|███████▍  | 2992/4000 [14:33<03:43,  4.51it/s]

train:  85%|████████▌ | 2992/3515 [14:30<01:55,  4.51it/s]
overall:  75%|███████▍  | 2993/4000 [14:34<03:41,  4.54it/s]

train:  85%|████████▌ | 2993/3515 [14:31<01:55,  4.54it/s]
overall:  75%|███████▍  | 2994/4000 [14:34<03:34,  4.68it/s]

train:  85%|████████▌ | 2994/3515 [14:31<01:51,  4.68it/s]
overall:  75%|███████▍  | 2995/4000 [14:34<03:35,  4.66it/s]

train:  85%|████████▌ | 2995/3515 [14:31<01:51,  4.66it/s]
overall:  75%|███████▍  | 2996/4000 [14:34<03:36,  4.63it/s]

train:  85%|████████▌ | 2996/3515 [14:31<01:52,  4.63it/s]
overall:  75%|███████▍  | 2997/4000 [14:34<03:43,  4.48it/s]

train:  85%|████████▌ | 2997/3515 [14:32<01:55,  4.48it/s]
overall:  75%|███████▍  | 2998/4000 [14:35<03:35,  4.64it/s]

train:  85%|████████▌ | 2998/3515 [14:32<01:51,  4.64it/s]
overall:  75%|███████▍  | 2999/4000 [14:35<04:11,  3.99it/s]

train:  85%|████████▌ | 2999/3515 [14:32<02:09,  3.99it/s]dev loss: 3.3290600776672363
dev per: 0.8261602497398544
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.225395679473877
train per: 0.8098327993322743
train loss: 3.2124297618865967
train per: 0.8117083379226787
train loss: 3.216317653656006
train per: 0.8047000437892279
train loss: 3.2148373126983643
train per: 0.8057049830124575
train loss: 3.2209675312042236
train per: 0.8031580522849731
train loss: 3.211292266845703
train per: 0.8002111011679401
train loss: 3.2171225547790527
train per: 0.8053659795023336
train loss: 3.227611541748047
train per: 0.8027479091995221
train loss: 3.182861089706421
train per: 0.8045076181667722
train loss: 3.2164013385772705
train per: 0.8070614003761636
train loss: 3.214271068572998
train per: 0.8086685403126647
train loss: 3.2396702766418457
train per: 0.8063685498674281
train loss: 3.2866058349609375
train per: 0.8086505560307955
train loss: 3.24967885017395
train per: 0.8033240325124348
train loss: 3.2140185832977295
train per: 0.806950354609929
train loss: 3.2452759742736816
train per: 0.8050217385711713
train loss: 3.2294814586639404
train per: 0.8079023154014514
train loss: 3.253983974456787
train per: 0.8046079885439574
train loss: 3.213864803314209
train per: 0.8047330241408015
train loss: 3.2279675006866455
train per: 0.8063226837884531
train loss: 3.2397589683532715
train per: 0.8133162748547363
train loss: 3.2503421306610107
train per: 0.8061017588532089
train loss: 3.2473552227020264
train per: 0.8077705911619703
train loss: 3.2404263019561768
train per: 0.8037954026204132
train loss: 3.2579169273376465
train per: 0.8058265437392796
train loss: 3.2079238891601562
train per: 0.8090926420129623
train loss: 3.198617458343506
train per: 0.8066961018109697
train loss: 3.2121176719665527
train per: 0.805410331430764
train loss: 3.2226860523223877
train per: 0.8056698220746394
train loss: 3.24457049369812
train per: 0.8053135591292678
train loss: 3.237001419067383
train per: 0.8087711487088157
train loss: 3.2335686683654785
train per: 0.8119594123570266
train loss: 3.227214813232422
train per: 0.8114425541831741
train loss: 3.216458797454834
train per: 0.811398781924359
train loss: 3.226247787475586
train per: 0.8071428571428572
train loss: 3.2444024085998535
train per: 0.812303534991452
train loss: 3.2540714740753174
train per: 0.8082603871285908
train loss: 3.2043094635009766
train per: 0.8055160648279784
train loss: 3.225032091140747
train per: 0.8006470089096309
train loss: 3.2270267009735107
train per: 0.8074931846034564
train loss: 3.2446377277374268
train per: 0.8075622731566648
train loss: 3.234571933746338
train per: 0.8106144078912849
train loss: 3.2097694873809814
train per: 0.8030816887868187
train loss: 3.2661690711975098
train per: 0.8023428063538367
train loss: 3.2293670177459717
train per: 0.8114550442569491
train loss: 3.2367472648620605
train per: 0.8098987626546682
train loss: 3.247586727142334
train per: 0.807717801665754
train loss: 3.247671604156494
train per: 0.8013445910768047
train loss: 3.2684988975524902
train per: 0.8111635656762011
train loss: 3.2611470222473145
train per: 0.8150212052470658
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 303/2703 [00:00<00:00, 3021.68it/s]


word -> phonemes:  23%|██▎       | 614/2703 [00:00<00:00, 3069.08it/s]


word -> phonemes:  34%|███▍      | 921/2703 [00:00<00:00, 2782.70it/s]


word -> phonemes:  46%|████▌     | 1240/2703 [00:00<00:00, 2932.88it/s]


word -> phonemes:  57%|█████▋    | 1549/2703 [00:00<00:00, 2987.14it/s]


word -> phonemes:  70%|██████▉   | 1884/2703 [00:00<00:00, 3105.35it/s]


word -> phonemes:  81%|████████▏ | 2197/2703 [00:00<00:00, 3089.89it/s]


word -> phonemes:  93%|█████████▎| 2508/2703 [00:00<00:00, 2797.83it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2814.10it/s]



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overall:  88%|████████▊ | 3502/4000 [18:26<01:54,  4.37it/s]

train: 100%|█████████▉| 3502/3515 [18:23<00:02,  4.37it/s]
overall:  88%|████████▊ | 3503/4000 [18:26<01:54,  4.32it/s]

train: 100%|█████████▉| 3503/3515 [18:24<00:02,  4.32it/s]
overall:  88%|████████▊ | 3504/4000 [18:27<01:51,  4.43it/s]

train: 100%|█████████▉| 3504/3515 [18:24<00:02,  4.43it/s]
overall:  88%|████████▊ | 3505/4000 [18:27<01:36,  5.15it/s]

train: 100%|█████████▉| 3505/3515 [18:24<00:01,  5.15it/s]
overall:  88%|████████▊ | 3506/4000 [18:27<01:40,  4.91it/s]

train: 100%|█████████▉| 3506/3515 [18:24<00:01,  4.91it/s]
overall:  88%|████████▊ | 3507/4000 [18:27<01:43,  4.76it/s]

train: 100%|█████████▉| 3507/3515 [18:24<00:01,  4.76it/s]
overall:  88%|████████▊ | 3508/4000 [18:27<01:42,  4.78it/s]

train: 100%|█████████▉| 3508/3515 [18:25<00:01,  4.78it/s]
overall:  88%|████████▊ | 3509/4000 [18:28<01:41,  4.86it/s]

train: 100%|█████████▉| 3509/3515 [18:25<00:01,  4.86it/s]
overall:  88%|████████▊ | 3510/4000 [18:28<01:39,  4.93it/s]

train: 100%|█████████▉| 3510/3515 [18:25<00:01,  4.93it/s]
overall:  88%|████████▊ | 3511/4000 [18:28<01:42,  4.78it/s]

train: 100%|█████████▉| 3511/3515 [18:25<00:00,  4.78it/s]
overall:  88%|████████▊ | 3512/4000 [18:28<01:44,  4.67it/s]

train: 100%|█████████▉| 3512/3515 [18:25<00:00,  4.67it/s]
overall:  88%|████████▊ | 3513/4000 [18:28<01:40,  4.84it/s]

train: 100%|█████████▉| 3513/3515 [18:26<00:00,  4.84it/s]
overall:  88%|████████▊ | 3514/4000 [18:29<01:38,  4.96it/s]

train: 100%|█████████▉| 3514/3515 [18:26<00:00,  4.96it/s]
overall:  88%|████████▊ | 3515/4000 [18:29<01:39,  4.86it/s]

train: 100%|██████████| 3515/3515 [18:26<00:00,  4.86it/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 [18:26<00:00,  3.18it/s]
dev loss: 3.374572277069092
dev per: 0.7978772112382935
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.203190565109253
train per: 0.8017524095631493
train loss: 3.2324302196502686
train per: 0.8164674417335298
train loss: 3.204746961593628
train per: 0.8059044003115264
train loss: 3.210733413696289
train per: 0.8050304954886839
train loss: 3.2179131507873535
train per: 0.8031576206594551
train loss: 3.216047763824463
train per: 0.8093074032700315
train loss: 3.2188210487365723
train per: 0.8097516748098524
train loss: 3.2345516681671143
train per: 0.81256453975649
train loss: 3.2599945068359375
train per: 0.8088539202748799
train loss: 3.21305513381958
train per: 0.7955874661214398
train loss: 3.2302021980285645
train per: 0.8098810210754815
train loss: 3.2442569732666016
train per: 0.7999575981720101
train loss: 3.2308483123779297
train per: 0.8106931689520694
train loss: 3.200131893157959
train per: 0.8057300301211853
train loss: 3.2302327156066895
train per: 0.8055882641546462
train loss: 3.227078676223755
train per: 0.8077545531216521
train loss: 3.2257659435272217
train per: 0.8039996339007871
train loss: 3.2248172760009766
train per: 0.814352288197717
train loss: 3.2338123321533203
train per: 0.7998998312948123
train loss: 3.2507805824279785
train per: 0.803727653100038
train loss: 3.2455222606658936
train per: 0.8003906894844
train loss: 3.2410213947296143
train per: 0.8058818952773672
train loss: 3.282201051712036
train per: 0.8058069291564194
train loss: 3.260737180709839
train per: 0.8107432699920823
train loss: 3.255944013595581
train per: 0.7990269019107679
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   6%|▌         | 212/3515 [00:00<00:01, 2010.97it/s]

word -> phonemes:  12%|█▏        | 414/3515 [00:00<00:01, 1969.41it/s]

word -> phonemes:  18%|█▊        | 629/3515 [00:00<00:01, 2046.27it/s]

word -> phonemes:  24%|██▎       | 834/3515 [00:00<00:01, 2031.80it/s]

word -> phonemes:  30%|██▉       | 1038/3515 [00:00<00:01, 1903.19it/s]

word -> phonemes:  35%|███▍      | 1230/3515 [00:00<00:01, 1854.92it/s]

word -> phonemes:  41%|████      | 1446/3515 [00:00<00:01, 1947.81it/s]

word -> phonemes:  48%|████▊     | 1672/3515 [00:00<00:00, 2028.58it/s]

word -> phonemes:  54%|█████▍    | 1903/3515 [00:00<00:00, 2113.54it/s]

word -> phonemes:  60%|██████    | 2125/3515 [00:01<00:00, 2145.56it/s]

word -> phonemes:  67%|██████▋   | 2341/3515 [00:01<00:00, 2074.57it/s]

word -> phonemes:  73%|███████▎  | 2550/3515 [00:01<00:00, 2021.35it/s]

word -> phonemes:  80%|███████▉  | 2804/3515 [00:01<00:00, 2169.89it/s]

word -> phonemes:  86%|████████▌ | 3023/3515 [00:01<00:00, 2023.95it/s]

word -> phonemes:  92%|█████████▏| 3242/3515 [00:01<00:00, 2070.24it/s]

word -> phonemes:  98%|█████████▊| 3452/3515 [00:01<00:00, 2026.72it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2016.79it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [18:34<12:32,  1.56s/it]

train:   0%|          | 1/3515 [00:01<1:30:21,  1.54s/it]
overall:  88%|████████▊ | 3517/4000 [18:34<09:03,  1.12s/it]

train:   0%|          | 2/3515 [00:01<41:19,  1.42it/s]  
overall:  88%|████████▊ | 3518/4000 [18:34<06:49,  1.18it/s]

train:   0%|          | 3/3515 [00:01<28:03,  2.09it/s]
overall:  88%|████████▊ | 3519/4000 [18:34<05:29,  1.46it/s]

train:   0%|          | 4/3515 [00:02<23:53,  2.45it/s]
overall:  88%|████████▊ | 3520/4000 [18:34<04:18,  1.85it/s]

train:   0%|          | 5/3515 [00:02<19:27,  3.01it/s]
overall:  88%|████████▊ | 3521/4000 [18:35<03:25,  2.33it/s]

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overall:  88%|████████▊ | 3523/4000 [18:35<02:25,  3.27it/s]

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overall:  88%|████████▊ | 3524/4000 [18:35<02:17,  3.46it/s]

train:   0%|          | 9/3515 [00:03<13:09,  4.44it/s]
overall:  88%|████████▊ | 3525/4000 [18:35<02:03,  3.86it/s]

train:   0%|          | 10/3515 [00:03<12:22,  4.72it/s]
overall:  88%|████████▊ | 3527/4000 [18:36<01:43,  4.55it/s]

train:   0%|          | 12/3515 [00:03<11:13,  5.20it/s]
overall:  88%|████████▊ | 3528/4000 [18:36<01:47,  4.41it/s]

train:   0%|          | 13/3515 [00:03<12:01,  4.85it/s]
overall:  88%|████████▊ | 3529/4000 [18:36<01:46,  4.44it/s]

train:   0%|          | 14/3515 [00:04<12:14,  4.77it/s]
overall:  88%|████████▊ | 3530/4000 [18:36<01:41,  4.61it/s]

train:   0%|          | 15/3515 [00:04<11:58,  4.87it/s]
overall:  88%|████████▊ | 3531/4000 [18:37<01:48,  4.33it/s]

train:   0%|          | 16/3515 [00:04<12:59,  4.49it/s]
overall:  88%|████████▊ | 3532/4000 [18:37<01:45,  4.42it/s]

train:   0%|          | 17/3515 [00:04<12:51,  4.54it/s]
overall:  88%|████████▊ | 3533/4000 [18:37<01:39,  4.67it/s]

train:   1%|          | 18/3515 [00:04<12:13,  4.77it/s]
overall:  88%|████████▊ | 3534/4000 [18:37<01:40,  4.66it/s]

train:   1%|          | 19/3515 [00:05<12:20,  4.72it/s]
overall:  88%|████████▊ | 3535/4000 [18:37<01:40,  4.64it/s]

train:   1%|          | 20/3515 [00:05<12:25,  4.69it/s]
overall:  88%|████████▊ | 3536/4000 [18:38<01:39,  4.65it/s]

train:   1%|          | 21/3515 [00:05<12:25,  4.69it/s]
overall:  88%|████████▊ | 3538/4000 [18:38<01:26,  5.35it/s]

train:   1%|          | 23/3515 [00:05<10:49,  5.37it/s]
overall:  88%|████████▊ | 3539/4000 [18:38<01:31,  5.02it/s]

train:   1%|          | 24/3515 [00:06<11:33,  5.03it/s]
overall:  88%|████████▊ | 3540/4000 [18:38<01:49,  4.20it/s]

train:   1%|          | 25/3515 [00:06<13:49,  4.21it/s]
overall:  89%|████████▊ | 3541/4000 [18:39<01:46,  4.31it/s]

train:   1%|          | 26/3515 [00:06<13:28,  4.31it/s]
overall:  89%|████████▊ | 3542/4000 [18:39<01:43,  4.43it/s]

train:   1%|          | 27/3515 [00:06<13:06,  4.44it/s]
overall:  89%|████████▊ | 3543/4000 [18:39<01:32,  4.92it/s]

train:   1%|          | 28/3515 [00:07<11:48,  4.92it/s]
overall:  89%|████████▊ | 3544/4000 [18:39<01:34,  4.82it/s]

train:   1%|          | 29/3515 [00:07<12:03,  4.82it/s]
overall:  89%|████████▊ | 3546/4000 [18:40<01:25,  5.32it/s]

train:   1%|          | 31/3515 [00:07<10:54,  5.32it/s]
overall:  89%|████████▊ | 3547/4000 [18:40<01:29,  5.05it/s]

train:   1%|          | 32/3515 [00:07<11:29,  5.05it/s]
overall:  89%|████████▊ | 3548/4000 [18:40<01:32,  4.90it/s]

train:   1%|          | 33/3515 [00:08<11:51,  4.90it/s]
overall:  89%|████████▊ | 3549/4000 [18:40<01:35,  4.72it/s]

train:   1%|          | 34/3515 [00:08<12:18,  4.72it/s]
overall:  89%|████████▉ | 3550/4000 [18:40<01:32,  4.84it/s]

train:   1%|          | 35/3515 [00:08<11:58,  4.84it/s]
overall:  89%|████████▉ | 3551/4000 [18:41<01:40,  4.45it/s]

train:   1%|          | 36/3515 [00:08<13:01,  4.45it/s]
overall:  89%|████████▉ | 3552/4000 [18:41<01:57,  3.80it/s]

train:   1%|          | 37/3515 [00:09<15:15,  3.80it/s]
overall:  89%|████████▉ | 3553/4000 [18:41<01:53,  3.94it/s]

train:   1%|          | 38/3515 [00:09<14:42,  3.94it/s]
overall:  89%|████████▉ | 3554/4000 [18:42<01:48,  4.09it/s]

train:   1%|          | 39/3515 [00:09<14:09,  4.09it/s]
overall:  89%|████████▉ | 3555/4000 [18:42<01:37,  4.57it/s]

train:   1%|          | 40/3515 [00:09<12:39,  4.57it/s]
overall:  89%|████████▉ | 3556/4000 [18:42<01:36,  4.60it/s]

train:   1%|          | 41/3515 [00:09<12:35,  4.60it/s]
overall:  89%|████████▉ | 3557/4000 [18:42<01:36,  4.60it/s]

train:   1%|          | 42/3515 [00:10<12:34,  4.60it/s]
overall:  89%|████████▉ | 3558/4000 [18:42<01:36,  4.58it/s]

train:   1%|          | 43/3515 [00:10<12:37,  4.58it/s]
overall:  89%|████████▉ | 3559/4000 [18:43<01:24,  5.21it/s]

train:   1%|▏         | 44/3515 [00:10<11:05,  5.21it/s]
overall:  89%|████████▉ | 3560/4000 [18:43<01:30,  4.86it/s]

train:   1%|▏         | 45/3515 [00:10<11:53,  4.86it/s]
overall:  89%|████████▉ | 3561/4000 [18:43<01:33,  4.69it/s]

train:   1%|▏         | 46/3515 [00:10<12:20,  4.69it/s]
overall:  89%|████████▉ | 3562/4000 [18:43<01:35,  4.57it/s]

train:   1%|▏         | 47/3515 [00:11<12:38,  4.57it/s]
overall:  89%|████████▉ | 3563/4000 [18:43<01:26,  5.05it/s]

train:   1%|▏         | 48/3515 [00:11<11:25,  5.05it/s]
overall:  89%|████████▉ | 3564/4000 [18:44<01:46,  4.08it/s]

train:   1%|▏         | 49/3515 [00:11<14:09,  4.08it/s]
overall:  89%|████████▉ | 3565/4000 [18:44<01:30,  4.79it/s]

train:   1%|▏         | 50/3515 [00:11<12:03,  4.79it/s]
overall:  89%|████████▉ | 3566/4000 [18:44<01:33,  4.66it/s]

train:   1%|▏         | 51/3515 [00:12<12:22,  4.66it/s]
overall:  89%|████████▉ | 3567/4000 [18:44<01:37,  4.42it/s]

train:   1%|▏         | 52/3515 [00:12<13:02,  4.42it/s]
overall:  89%|████████▉ | 3569/4000 [18:45<01:22,  5.21it/s]

train:   2%|▏         | 54/3515 [00:12<11:04,  5.21it/s]
overall:  89%|████████▉ | 3570/4000 [18:45<01:24,  5.07it/s]

train:   2%|▏         | 55/3515 [00:12<11:22,  5.07it/s]
overall:  89%|████████▉ | 3571/4000 [18:45<01:28,  4.86it/s]

train:   2%|▏         | 56/3515 [00:13<11:51,  4.86it/s]
overall:  89%|████████▉ | 3572/4000 [18:45<01:30,  4.73it/s]

train:   2%|▏         | 57/3515 [00:13<12:10,  4.73it/s]
overall:  89%|████████▉ | 3573/4000 [18:46<01:30,  4.74it/s]

train:   2%|▏         | 58/3515 [00:13<12:09,  4.74it/s]
overall:  89%|████████▉ | 3574/4000 [18:46<01:31,  4.66it/s]

train:   2%|▏         | 59/3515 [00:13<12:22,  4.66it/s]
overall:  89%|████████▉ | 3575/4000 [18:46<01:33,  4.56it/s]

train:   2%|▏         | 60/3515 [00:13<12:37,  4.56it/s]
overall:  89%|████████▉ | 3576/4000 [18:46<01:51,  3.81it/s]

train:   2%|▏         | 61/3515 [00:14<15:06,  3.81it/s]
overall:  89%|████████▉ | 3577/4000 [18:47<01:44,  4.03it/s]

train:   2%|▏         | 62/3515 [00:14<14:16,  4.03it/s]
overall:  89%|████████▉ | 3578/4000 [18:47<01:40,  4.19it/s]

train:   2%|▏         | 63/3515 [00:14<13:43,  4.19it/s]
overall:  89%|████████▉ | 3579/4000 [18:47<01:43,  4.07it/s]

train:   2%|▏         | 64/3515 [00:15<14:07,  4.07it/s]
overall:  90%|████████▉ | 3580/4000 [18:47<01:40,  4.19it/s]

train:   2%|▏         | 65/3515 [00:15<13:43,  4.19it/s]
overall:  90%|████████▉ | 3581/4000 [18:47<01:38,  4.25it/s]

train:   2%|▏         | 66/3515 [00:15<13:30,  4.25it/s]
overall:  90%|████████▉ | 3582/4000 [18:48<01:36,  4.31it/s]

train:   2%|▏         | 67/3515 [00:15<13:19,  4.31it/s]
overall:  90%|████████▉ | 3583/4000 [18:48<01:34,  4.43it/s]

train:   2%|▏         | 68/3515 [00:15<12:58,  4.43it/s]
overall:  90%|████████▉ | 3584/4000 [18:48<01:21,  5.10it/s]

train:   2%|▏         | 69/3515 [00:16<11:16,  5.10it/s]
overall:  90%|████████▉ | 3586/4000 [18:48<01:10,  5.88it/s]

train:   2%|▏         | 71/3515 [00:16<09:45,  5.88it/s]
overall:  90%|████████▉ | 3587/4000 [18:49<01:16,  5.41it/s]

train:   2%|▏         | 72/3515 [00:16<10:36,  5.41it/s]
overall:  90%|████████▉ | 3588/4000 [18:49<01:35,  4.33it/s]

train:   2%|▏         | 73/3515 [00:16<13:14,  4.33it/s]
overall:  90%|████████▉ | 3589/4000 [18:49<01:35,  4.32it/s]

train:   2%|▏         | 74/3515 [00:17<13:16,  4.32it/s]
overall:  90%|████████▉ | 3590/4000 [18:49<01:33,  4.40it/s]

train:   2%|▏         | 75/3515 [00:17<13:01,  4.40it/s]
overall:  90%|████████▉ | 3591/4000 [18:50<01:33,  4.36it/s]

train:   2%|▏         | 76/3515 [00:17<13:09,  4.36it/s]
overall:  90%|████████▉ | 3592/4000 [18:50<01:29,  4.58it/s]

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overall:  90%|████████▉ | 3593/4000 [18:50<01:30,  4.48it/s]

train:   2%|▏         | 78/3515 [00:18<12:47,  4.48it/s]
overall:  90%|████████▉ | 3594/4000 [18:50<01:29,  4.54it/s]

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overall:  90%|████████▉ | 3595/4000 [18:50<01:23,  4.87it/s]

train:   2%|▏         | 80/3515 [00:18<11:45,  4.87it/s]
overall:  90%|████████▉ | 3596/4000 [18:51<01:22,  4.89it/s]

train:   2%|▏         | 81/3515 [00:18<11:42,  4.89it/s]
overall:  90%|████████▉ | 3597/4000 [18:51<01:24,  4.74it/s]

train:   2%|▏         | 82/3515 [00:18<12:03,  4.74it/s]
overall:  90%|████████▉ | 3598/4000 [18:51<01:24,  4.76it/s]

train:   2%|▏         | 83/3515 [00:19<12:01,  4.76it/s]
overall:  90%|████████▉ | 3599/4000 [18:51<01:22,  4.84it/s]

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overall:  90%|█████████ | 3600/4000 [18:52<01:38,  4.07it/s]

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overall:  90%|█████████ | 3610/4000 [18:54<01:17,  5.05it/s]

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overall:  90%|█████████ | 3611/4000 [18:54<01:21,  4.78it/s]

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train:   3%|▎         | 97/3515 [00:22<14:12,  4.01it/s]
overall:  90%|█████████ | 3613/4000 [18:54<01:31,  4.23it/s]

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overall:  90%|█████████ | 3614/4000 [18:55<01:28,  4.37it/s]

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overall:  90%|█████████ | 3615/4000 [18:55<01:32,  4.16it/s]

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overall:  90%|█████████ | 3616/4000 [18:55<01:30,  4.26it/s]

train:   3%|▎         | 101/3515 [00:23<13:21,  4.26it/s]
overall:  90%|█████████ | 3617/4000 [18:55<01:27,  4.39it/s]

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overall:  90%|█████████ | 3619/4000 [18:56<01:26,  4.40it/s]

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train:   3%|▎         | 108/3515 [00:24<12:51,  4.42it/s]
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overall:  91%|█████████ | 3625/4000 [18:57<01:36,  3.89it/s]

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overall:  91%|█████████ | 3626/4000 [18:57<01:28,  4.20it/s]

train:   3%|▎         | 111/3515 [00:25<13:29,  4.20it/s]
overall:  91%|█████████ | 3627/4000 [18:58<01:55,  3.22it/s]

train:   3%|▎         | 112/3515 [00:25<17:36,  3.22it/s]
overall:  91%|█████████ | 3628/4000 [18:58<01:33,  4.00it/s]

train:   3%|▎         | 113/3515 [00:25<14:11,  4.00it/s]
overall:  91%|█████████ | 3629/4000 [18:58<01:29,  4.16it/s]

train:   3%|▎         | 114/3515 [00:26<13:38,  4.16it/s]
overall:  91%|█████████ | 3630/4000 [18:58<01:26,  4.27it/s]

train:   3%|▎         | 115/3515 [00:26<13:15,  4.27it/s]
overall:  91%|█████████ | 3631/4000 [18:59<01:22,  4.49it/s]

train:   3%|▎         | 116/3515 [00:26<12:36,  4.49it/s]
overall:  91%|█████████ | 3632/4000 [18:59<01:21,  4.50it/s]

train:   3%|▎         | 117/3515 [00:26<12:35,  4.50it/s]
overall:  91%|█████████ | 3633/4000 [18:59<01:22,  4.47it/s]

train:   3%|▎         | 118/3515 [00:27<12:40,  4.47it/s]
overall:  91%|█████████ | 3634/4000 [18:59<01:21,  4.50it/s]

train:   3%|▎         | 119/3515 [00:27<12:34,  4.50it/s]
overall:  91%|█████████ | 3635/4000 [18:59<01:20,  4.52it/s]

train:   3%|▎         | 120/3515 [00:27<12:31,  4.52it/s]
overall:  91%|█████████ | 3636/4000 [19:00<01:24,  4.32it/s]

train:   3%|▎         | 121/3515 [00:27<13:05,  4.32it/s]
overall:  91%|█████████ | 3637/4000 [19:00<01:23,  4.33it/s]

train:   3%|▎         | 122/3515 [00:27<13:03,  4.33it/s]
overall:  91%|█████████ | 3638/4000 [19:00<01:21,  4.45it/s]

train:   3%|▎         | 123/3515 [00:28<12:42,  4.45it/s]
overall:  91%|█████████ | 3639/4000 [19:00<01:23,  4.33it/s]

train:   4%|▎         | 124/3515 [00:28<13:02,  4.33it/s]
overall:  91%|█████████ | 3640/4000 [19:01<01:22,  4.37it/s]

train:   4%|▎         | 125/3515 [00:28<12:55,  4.37it/s]
overall:  91%|█████████ | 3641/4000 [19:01<01:21,  4.40it/s]

train:   4%|▎         | 126/3515 [00:28<12:50,  4.40it/s]
overall:  91%|█████████ | 3642/4000 [19:01<01:21,  4.40it/s]

train:   4%|▎         | 127/3515 [00:29<12:49,  4.40it/s]
overall:  91%|█████████ | 3643/4000 [19:01<01:20,  4.45it/s]

train:   4%|▎         | 128/3515 [00:29<12:41,  4.45it/s]
overall:  91%|█████████ | 3644/4000 [19:02<01:20,  4.44it/s]

train:   4%|▎         | 129/3515 [00:29<12:41,  4.44it/s]
overall:  91%|█████████ | 3645/4000 [19:02<01:19,  4.49it/s]

train:   4%|▎         | 130/3515 [00:29<12:34,  4.49it/s]
overall:  91%|█████████ | 3646/4000 [19:02<01:19,  4.46it/s]

train:   4%|▎         | 131/3515 [00:29<12:38,  4.46it/s]
overall:  91%|█████████ | 3647/4000 [19:02<01:10,  5.00it/s]

train:   4%|▍         | 132/3515 [00:30<11:16,  5.00it/s]
overall:  91%|█████████ | 3648/4000 [19:02<01:17,  4.53it/s]

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overall:  91%|█████████ | 3649/4000 [19:03<01:16,  4.58it/s]

train:   4%|▍         | 134/3515 [00:30<12:18,  4.58it/s]
overall:  91%|█████████▏| 3650/4000 [19:03<01:11,  4.91it/s]

train:   4%|▍         | 135/3515 [00:30<11:27,  4.91it/s]
overall:  91%|█████████▏| 3651/4000 [19:03<01:09,  5.04it/s]

train:   4%|▍         | 136/3515 [00:30<11:10,  5.04it/s]
overall:  91%|█████████▏| 3652/4000 [19:03<01:11,  4.86it/s]

train:   4%|▍         | 137/3515 [00:31<11:34,  4.86it/s]
overall:  91%|█████████▏| 3653/4000 [19:03<01:13,  4.74it/s]

train:   4%|▍         | 138/3515 [00:31<11:52,  4.74it/s]
overall:  91%|█████████▏| 3655/4000 [19:04<01:01,  5.60it/s]

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overall:  91%|█████████▏| 3656/4000 [19:04<01:05,  5.23it/s]

train:   4%|▍         | 141/3515 [00:31<10:45,  5.23it/s]
overall:  91%|█████████▏| 3657/4000 [19:04<01:09,  4.95it/s]

train:   4%|▍         | 142/3515 [00:32<11:21,  4.95it/s]
overall:  91%|█████████▏| 3658/4000 [19:04<01:10,  4.84it/s]

train:   4%|▍         | 143/3515 [00:32<11:36,  4.84it/s]
overall:  91%|█████████▏| 3659/4000 [19:05<01:10,  4.81it/s]

train:   4%|▍         | 144/3515 [00:32<11:40,  4.81it/s]
overall:  92%|█████████▏| 3660/4000 [19:05<01:26,  3.94it/s]

train:   4%|▍         | 145/3515 [00:32<14:22,  3.91it/s]
overall:  92%|█████████▏| 3661/4000 [19:05<01:23,  4.05it/s]

train:   4%|▍         | 146/3515 [00:33<13:48,  4.07it/s]
overall:  92%|█████████▏| 3662/4000 [19:05<01:20,  4.21it/s]

train:   4%|▍         | 147/3515 [00:33<13:19,  4.21it/s]
overall:  92%|█████████▏| 3663/4000 [19:06<01:08,  4.93it/s]

train:   4%|▍         | 148/3515 [00:33<11:21,  4.94it/s]
overall:  92%|█████████▏| 3664/4000 [19:06<01:11,  4.67it/s]

train:   4%|▍         | 149/3515 [00:33<12:00,  4.67it/s]
overall:  92%|█████████▏| 3665/4000 [19:06<01:12,  4.64it/s]

train:   4%|▍         | 150/3515 [00:33<12:04,  4.65it/s]
overall:  92%|█████████▏| 3666/4000 [19:06<01:12,  4.61it/s]

train:   4%|▍         | 151/3515 [00:34<12:09,  4.61it/s]
overall:  92%|█████████▏| 3668/4000 [19:06<00:51,  6.50it/s]

train:   4%|▍         | 153/3515 [00:34<08:36,  6.50it/s]
overall:  92%|█████████▏| 3669/4000 [19:07<00:55,  5.92it/s]

train:   4%|▍         | 154/3515 [00:34<09:27,  5.92it/s]
overall:  92%|█████████▏| 3670/4000 [19:07<01:00,  5.41it/s]

train:   4%|▍         | 155/3515 [00:34<10:20,  5.41it/s]
overall:  92%|█████████▏| 3671/4000 [19:07<01:04,  5.10it/s]

train:   4%|▍         | 156/3515 [00:35<10:58,  5.10it/s]
overall:  92%|█████████▏| 3672/4000 [19:08<01:36,  3.40it/s]

train:   4%|▍         | 157/3515 [00:35<16:27,  3.40it/s]
overall:  92%|█████████▏| 3674/4000 [19:08<01:16,  4.29it/s]

train:   5%|▍         | 159/3515 [00:35<13:02,  4.29it/s]
overall:  92%|█████████▏| 3675/4000 [19:08<01:15,  4.31it/s]

train:   5%|▍         | 160/3515 [00:36<12:59,  4.31it/s]
overall:  92%|█████████▏| 3676/4000 [19:08<01:13,  4.38it/s]

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overall:  92%|█████████▏| 3677/4000 [19:09<01:11,  4.49it/s]

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overall:  92%|█████████▏| 3678/4000 [19:09<01:10,  4.54it/s]

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overall:  92%|█████████▏| 3679/4000 [19:09<01:10,  4.55it/s]

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overall:  92%|█████████▏| 3680/4000 [19:09<01:10,  4.51it/s]

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overall:  92%|█████████▏| 3681/4000 [19:09<01:12,  4.43it/s]

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overall:  92%|█████████▏| 3682/4000 [19:10<01:00,  5.27it/s]

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overall:  92%|█████████▏| 3683/4000 [19:10<01:02,  5.07it/s]

train:   5%|▍         | 168/3515 [00:37<11:00,  5.07it/s]
overall:  92%|█████████▏| 3684/4000 [19:10<01:06,  4.78it/s]

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overall:  92%|█████████▏| 3685/4000 [19:10<01:05,  4.80it/s]

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overall:  92%|█████████▏| 3686/4000 [19:10<01:05,  4.79it/s]

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overall:  92%|█████████▏| 3687/4000 [19:11<01:01,  5.06it/s]

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overall:  92%|█████████▏| 3688/4000 [19:11<01:01,  5.09it/s]

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overall:  92%|█████████▏| 3689/4000 [19:11<01:03,  4.90it/s]

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overall:  92%|█████████▏| 3690/4000 [19:11<01:04,  4.77it/s]

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overall:  92%|█████████▏| 3692/4000 [19:12<01:07,  4.57it/s]

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overall:  92%|█████████▏| 3693/4000 [19:12<01:08,  4.50it/s]

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overall:  92%|█████████▏| 3695/4000 [19:12<01:00,  5.04it/s]

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overall:  92%|█████████▏| 3696/4000 [19:13<01:13,  4.14it/s]

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overall:  92%|█████████▏| 3698/4000 [19:13<01:00,  5.01it/s]

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overall:  92%|█████████▏| 3699/4000 [19:13<01:02,  4.82it/s]

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overall:  92%|█████████▎| 3700/4000 [19:13<01:03,  4.76it/s]

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overall:  93%|█████████▎| 3701/4000 [19:14<01:04,  4.67it/s]

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overall:  93%|█████████▎| 3702/4000 [19:14<01:01,  4.86it/s]

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overall:  93%|█████████▎| 3703/4000 [19:14<01:02,  4.72it/s]

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overall:  93%|█████████▎| 3704/4000 [19:14<01:02,  4.70it/s]

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overall:  93%|█████████▎| 3705/4000 [19:14<01:00,  4.88it/s]

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overall:  93%|█████████▎| 3706/4000 [19:15<01:02,  4.69it/s]

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overall:  93%|█████████▎| 3709/4000 [19:15<01:07,  4.30it/s]

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overall:  93%|█████████▎| 3715/4000 [19:16<00:53,  5.35it/s]

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overall:  99%|█████████▉| 3958/4000 [20:11<00:08,  4.84it/s]

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train:  14%|█▍        | 484/3515 [01:47<10:47,  4.68it/s]train loss: 3.2313358783721924
train per: 0.8054992910674499
train loss: 3.229808807373047
train per: 0.8188462770449317
train loss: 3.2133705615997314
train per: 0.8014153705165085
train loss: 3.2300994396209717
train per: 0.8069976359338061
train loss: 3.2676281929016113
train per: 0.8124096660496488
train loss: 3.223836898803711
train per: 0.8059938473752108
train loss: 3.2191002368927
train per: 0.8058978772231784
train loss: 3.2466633319854736
train per: 0.8024401449793251
train loss: 3.3188717365264893
train per: 0.8222946810678622
train loss: 3.2527992725372314
train per: 0.8133099282358408
train loss: 3.2476296424865723
train per: 0.8085942583482991
train loss: 3.2325897216796875
train per: 0.807095046854083
train loss: 3.2264912128448486
train per: 0.8046124763705104
train loss: 3.2525553703308105
train per: 0.8048239317131745
train loss: 3.2562153339385986
train per: 0.8056205486848533
train loss: 3.2187557220458984
train per: 0.806306649402087
train loss: 3.2337327003479004
train per: 0.8050096054381558
train loss: 3.2243008613586426
train per: 0.8068403289442411
train loss: 3.227581024169922
train per: 0.8071248828144274
train loss: 3.2037200927734375
train per: 0.8031078397008996
train loss: 3.2444539070129395
train per: 0.8058099308099308
train loss: 3.200451612472534
train per: 0.7998455768806529
train loss: 3.2170166969299316
train per: 0.8068921141059555
train loss: 3.222752332687378
train per: 0.8047072553977825
train loss: 3.212324857711792
train per: 0.8058899291623322
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  10%|▉         | 269/2703 [00:00<00:00, 2686.13it/s]


word -> phonemes:  22%|██▏       | 586/2703 [00:00<00:00, 2968.44it/s]


word -> phonemes:  33%|███▎      | 883/2703 [00:00<00:00, 2923.90it/s]


word -> phonemes:  45%|████▍     | 1206/2703 [00:00<00:00, 3040.09it/s]


word -> phonemes:  56%|█████▌    | 1511/2703 [00:00<00:00, 2739.47it/s]


word -> phonemes:  68%|██████▊   | 1843/2703 [00:00<00:00, 2920.98it/s]


word -> phonemes:  79%|███████▉  | 2140/2703 [00:00<00:00, 2885.97it/s]


word -> phonemes:  91%|█████████ | 2463/2703 [00:00<00:00, 2989.75it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2877.34it/s]



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overall: 100%|█████████▉| 3999/4000 [22:18<00:00,  4.68it/s]

train:  14%|█▍        | 484/3515 [03:45<10:47,  4.68it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [22:18<00:00,  4.68it/s]

train:  14%|█▍        | 484/3515 [03:45<10:47,  4.68it/s]
overall: 100%|██████████| 4000/4000 [22:18<00:00, 32.13s/it]

train:  14%|█▍        | 485/3515 [03:45<27:02:39, 32.13s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:46<23:34,  2.14it/s]   

overall: 100%|██████████| 4000/4000 [22:18<00:00,  2.99it/s]
dev loss: 3.334873914718628
dev per: 0.817513007284079
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt