/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 19:43:45 | 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_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:  87%|████████▋ | 3066/3515 [00:01<00:00, 2358.03it/s]

word -> phonemes:  94%|█████████▍| 3304/3515 [00:01<00:00, 2214.04it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2128.27it/s]


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train:   4%|▍         | 154/3515 [00:32<10:52,  5.15it/s]
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train:   4%|▍         | 155/3515 [00:32<12:09,  4.61it/s]
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train:   4%|▍         | 157/3515 [00:33<11:04,  5.05it/s]
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train:   4%|▍         | 158/3515 [00:33<11:12,  4.99it/s]
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train:   5%|▍         | 159/3515 [00:33<11:38,  4.80it/s]
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train:   5%|▍         | 160/3515 [00:33<11:40,  4.79it/s]
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train:   5%|▍         | 161/3515 [00:33<11:37,  4.81it/s]
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train:   5%|▍         | 162/3515 [00:34<11:24,  4.90it/s]
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train:   5%|▍         | 163/3515 [00:34<11:27,  4.88it/s]
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train:   5%|▍         | 165/3515 [00:34<11:19,  4.93it/s]
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train:   5%|▍         | 166/3515 [00:34<11:10,  5.00it/s]
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train:   5%|▍         | 174/3515 [00:36<10:18,  5.40it/s]
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train:   5%|▍         | 175/3515 [00:36<10:33,  5.27it/s]
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train:   5%|▌         | 176/3515 [00:36<10:49,  5.14it/s]
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train:   5%|▌         | 177/3515 [00:37<11:06,  5.01it/s]
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train:   5%|▌         | 178/3515 [00:37<11:42,  4.75it/s]
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train:   5%|▌         | 179/3515 [00:37<12:53,  4.31it/s]
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train:   5%|▌         | 180/3515 [00:37<12:15,  4.53it/s]
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train:   5%|▌         | 181/3515 [00:38<13:01,  4.26it/s]
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train:   5%|▌         | 182/3515 [00:38<12:33,  4.42it/s]
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train:   5%|▌         | 183/3515 [00:38<12:38,  4.39it/s]
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train:   5%|▌         | 184/3515 [00:38<10:54,  5.09it/s]
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train:   5%|▌         | 185/3515 [00:38<10:50,  5.12it/s]
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train:   5%|▌         | 186/3515 [00:39<11:08,  4.98it/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<10:59,  5.04it/s]
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train:   5%|▌         | 189/3515 [00:39<11:15,  4.93it/s]
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train:   5%|▌         | 190/3515 [00:39<11:20,  4.88it/s]
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train:  28%|██▊       | 991/3515 [03:24<08:42,  4.83it/s]
overall:  25%|██▍       | 992/4000 [03:27<10:20,  4.85it/s]

train:  28%|██▊       | 992/3515 [03:24<08:40,  4.85it/s]
overall:  25%|██▍       | 993/4000 [03:27<10:27,  4.79it/s]

train:  28%|██▊       | 993/3515 [03:25<08:46,  4.79it/s]
overall:  25%|██▍       | 994/4000 [03:28<10:19,  4.85it/s]

train:  28%|██▊       | 994/3515 [03:25<08:39,  4.85it/s]
overall:  25%|██▍       | 995/4000 [03:28<10:42,  4.67it/s]

train:  28%|██▊       | 995/3515 [03:25<08:59,  4.67it/s]
overall:  25%|██▍       | 996/4000 [03:28<11:57,  4.19it/s]

train:  28%|██▊       | 996/3515 [03:25<10:01,  4.19it/s]
overall:  25%|██▍       | 997/4000 [03:28<11:30,  4.35it/s]

train:  28%|██▊       | 997/3515 [03:26<09:38,  4.35it/s]
overall:  25%|██▍       | 998/4000 [03:29<11:07,  4.50it/s]

train:  28%|██▊       | 998/3515 [03:26<09:19,  4.50it/s]
overall:  25%|██▍       | 999/4000 [03:29<10:30,  4.76it/s]

train:  28%|██▊       | 999/3515 [03:26<08:48,  4.76it/s]train loss: 3.7264010906219482
train per: 0.8750368326591841
train loss: 2.442171096801758
train per: 0.6313137771412496
train loss: 2.2256276607513428
train per: 0.5861693014562729
train loss: 2.1649155616760254
train per: 0.5687437928136698
train loss: 2.140383243560791
train per: 0.5648651158471468
train loss: 2.0826380252838135
train per: 0.5565474589943533
train loss: 2.0330498218536377
train per: 0.5411015708849644
train loss: 2.112755298614502
train per: 0.5558626554693313
train loss: 2.008429765701294
train per: 0.5325531604301493
train loss: 1.9804080724716187
train per: 0.5265552206083859
train loss: 2.0076229572296143
train per: 0.5446670703772939
train loss: 2.00192928314209
train per: 0.5327271826379942
train loss: 2.0593903064727783
train per: 0.5460089474923475
train loss: 2.009046792984009
train per: 0.5327540256657186
train loss: 1.9395792484283447
train per: 0.5216029761484307
train loss: 1.9656593799591064
train per: 0.5285248953001396
train loss: 1.9402767419815063
train per: 0.5229753161974704
train loss: 1.9520155191421509
train per: 0.5274196705724433
train loss: 1.9801448583602905
train per: 0.5237019694256989
train loss: 1.9429019689559937
train per: 0.5284225366295755
train loss: 1.918802261352539
train per: 0.5167821647882809
train loss: 1.973067045211792
train per: 0.5261558552449835
train loss: 1.9852397441864014
train per: 0.5214765690192806
train loss: 1.9678230285644531
train per: 0.5206677074576678
train loss: 1.9461501836776733
train per: 0.5180123946676178
train loss: 1.898183822631836
train per: 0.5122272433828277
train loss: 1.9459459781646729
train per: 0.5175966088328076
train loss: 1.909907579421997
train per: 0.5129291686601508
train loss: 1.90860915184021
train per: 0.5133587786259542
train loss: 1.9165241718292236
train per: 0.5182490429654992
train loss: 1.9520394802093506
train per: 0.5175925258784254
train loss: 1.9011247158050537
train per: 0.5103855386273454
train loss: 1.945603370666504
train per: 0.5205785964515764
train loss: 1.9192380905151367
train per: 0.5139285899901253
train loss: 1.9078336954116821
train per: 0.5129477184757129
train loss: 1.9185459613800049
train per: 0.5175961650882731
train loss: 1.9728645086288452
train per: 0.5185289426775495
train loss: 1.9533212184906006
train per: 0.5176187033020004
train loss: 1.9389581680297852
train per: 0.5142772890352386
train loss: 1.9395132064819336
train per: 0.513582957651071
train loss: 1.8958669900894165
train per: 0.513238019592269
train loss: 1.891513466835022
train per: 0.5128898355999781
train loss: 1.9157222509384155
train per: 0.511302116741501
train loss: 1.9526758193969727
train per: 0.5228518733735883
train loss: 1.8926713466644287
train per: 0.5044783650813675
train loss: 1.918452262878418
train per: 0.5125514403292181
train loss: 1.9199116230010986
train per: 0.5172182006204757
train loss: 1.9187589883804321
train per: 0.5150508895548176
train loss: 1.9116777181625366
train per: 0.5116376598867687
train loss: 1.870113730430603
train per: 0.5030264100600341
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 286/2703 [00:00<00:00, 2859.57it/s]


word -> phonemes:  21%|██        | 572/2703 [00:00<00:00, 2458.19it/s]


word -> phonemes:  31%|███       | 829/2703 [00:00<00:00, 2456.41it/s]


word -> phonemes:  40%|████      | 1085/2703 [00:00<00:00, 2493.65it/s]


word -> phonemes:  49%|████▉     | 1336/2703 [00:00<00:00, 2498.31it/s]


word -> phonemes:  59%|█████▉    | 1592/2703 [00:00<00:00, 2517.38it/s]


word -> phonemes:  70%|███████   | 1898/2703 [00:00<00:00, 2691.32it/s]


word -> phonemes:  80%|████████  | 2168/2703 [00:00<00:00, 2378.93it/s]


word -> phonemes:  90%|████████▉ | 2428/2703 [00:00<00:00, 2441.46it/s]


word -> phonemes:  99%|█████████▉| 2684/2703 [00:01<00:00, 2474.33it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2490.84it/s]



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overall:  48%|████▊     | 1900/4000 [08:21<07:58,  4.39it/s]

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train:  55%|█████▍    | 1933/3515 [08:25<05:40,  4.65it/s]
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train:  55%|█████▌    | 1935/3515 [08:25<05:38,  4.67it/s]
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train:  55%|█████▌    | 1938/3515 [08:26<04:58,  5.29it/s]
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train:  55%|█████▌    | 1941/3515 [08:26<05:01,  5.22it/s]
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train:  55%|█████▌    | 1942/3515 [08:27<06:54,  3.80it/s]
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train:  55%|█████▌    | 1943/3515 [08:27<06:28,  4.05it/s]
overall:  49%|████▊     | 1945/4000 [08:30<06:56,  4.93it/s]

train:  55%|█████▌    | 1945/3515 [08:27<05:18,  4.93it/s]
overall:  49%|████▊     | 1946/4000 [08:30<07:00,  4.88it/s]

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overall:  49%|████▊     | 1948/4000 [08:31<06:34,  5.21it/s]

train:  55%|█████▌    | 1948/3515 [08:28<05:00,  5.21it/s]
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train:  55%|█████▌    | 1950/3515 [08:28<05:16,  4.95it/s]
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overall:  49%|████▉     | 1954/4000 [08:32<07:03,  4.83it/s]

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overall:  49%|████▉     | 1955/4000 [08:32<06:53,  4.94it/s]

train:  56%|█████▌    | 1955/3515 [08:29<05:15,  4.94it/s]
overall:  49%|████▉     | 1956/4000 [08:33<07:33,  4.51it/s]

train:  56%|█████▌    | 1956/3515 [08:30<05:45,  4.51it/s]
overall:  49%|████▉     | 1957/4000 [08:33<07:25,  4.59it/s]

train:  56%|█████▌    | 1957/3515 [08:30<05:39,  4.59it/s]
overall:  49%|████▉     | 1958/4000 [08:33<07:16,  4.67it/s]

train:  56%|█████▌    | 1958/3515 [08:30<05:33,  4.67it/s]
overall:  49%|████▉     | 1959/4000 [08:33<07:07,  4.78it/s]

train:  56%|█████▌    | 1959/3515 [08:30<05:25,  4.78it/s]
overall:  49%|████▉     | 1960/4000 [08:33<07:05,  4.79it/s]

train:  56%|█████▌    | 1960/3515 [08:30<05:24,  4.79it/s]
overall:  49%|████▉     | 1961/4000 [08:34<07:06,  4.78it/s]

train:  56%|█████▌    | 1961/3515 [08:31<05:24,  4.79it/s]
overall:  49%|████▉     | 1962/4000 [08:34<07:13,  4.70it/s]

train:  56%|█████▌    | 1962/3515 [08:31<05:30,  4.70it/s]
overall:  49%|████▉     | 1963/4000 [08:34<07:17,  4.66it/s]

train:  56%|█████▌    | 1963/3515 [08:31<05:33,  4.66it/s]
overall:  49%|████▉     | 1964/4000 [08:34<07:03,  4.81it/s]

train:  56%|█████▌    | 1964/3515 [08:31<05:22,  4.81it/s]
overall:  49%|████▉     | 1965/4000 [08:34<07:05,  4.78it/s]

train:  56%|█████▌    | 1965/3515 [08:32<05:24,  4.78it/s]
overall:  49%|████▉     | 1966/4000 [08:35<09:06,  3.72it/s]

train:  56%|█████▌    | 1966/3515 [08:32<06:56,  3.72it/s]
overall:  49%|████▉     | 1967/4000 [08:35<08:11,  4.13it/s]

train:  56%|█████▌    | 1967/3515 [08:32<06:14,  4.13it/s]
overall:  49%|████▉     | 1968/4000 [08:35<07:27,  4.54it/s]

train:  56%|█████▌    | 1968/3515 [08:32<05:40,  4.54it/s]
overall:  49%|████▉     | 1969/4000 [08:35<07:24,  4.57it/s]

train:  56%|█████▌    | 1969/3515 [08:32<05:38,  4.57it/s]
overall:  49%|████▉     | 1970/4000 [08:36<07:23,  4.58it/s]

train:  56%|█████▌    | 1970/3515 [08:33<05:37,  4.58it/s]
overall:  49%|████▉     | 1971/4000 [08:36<07:19,  4.62it/s]

train:  56%|█████▌    | 1971/3515 [08:33<05:34,  4.62it/s]
overall:  49%|████▉     | 1972/4000 [08:36<07:51,  4.30it/s]

train:  56%|█████▌    | 1972/3515 [08:33<05:58,  4.30it/s]
overall:  49%|████▉     | 1973/4000 [08:36<07:35,  4.45it/s]

train:  56%|█████▌    | 1973/3515 [08:33<05:46,  4.45it/s]
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train:  56%|█████▌    | 1974/3515 [08:34<05:46,  4.45it/s]
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train:  56%|█████▌    | 1975/3515 [08:34<05:45,  4.45it/s]
overall:  49%|████▉     | 1976/4000 [08:37<07:21,  4.58it/s]

train:  56%|█████▌    | 1976/3515 [08:34<05:35,  4.58it/s]
overall:  49%|████▉     | 1977/4000 [08:37<07:19,  4.60it/s]

train:  56%|█████▌    | 1977/3515 [08:34<05:34,  4.60it/s]
overall:  49%|████▉     | 1978/4000 [08:37<07:08,  4.72it/s]

train:  56%|█████▋    | 1978/3515 [08:34<05:25,  4.72it/s]
overall:  49%|████▉     | 1979/4000 [08:38<06:35,  5.11it/s]

train:  56%|█████▋    | 1979/3515 [08:35<05:00,  5.11it/s]
overall:  50%|████▉     | 1980/4000 [08:38<07:25,  4.53it/s]

train:  56%|█████▋    | 1980/3515 [08:35<05:38,  4.53it/s]
overall:  50%|████▉     | 1981/4000 [08:38<06:40,  5.04it/s]

train:  56%|█████▋    | 1981/3515 [08:35<05:04,  5.04it/s]
overall:  50%|████▉     | 1982/4000 [08:38<06:37,  5.07it/s]

train:  56%|█████▋    | 1982/3515 [08:35<05:02,  5.07it/s]
overall:  50%|████▉     | 1984/4000 [08:38<05:57,  5.63it/s]

train:  56%|█████▋    | 1984/3515 [08:36<04:31,  5.63it/s]
overall:  50%|████▉     | 1985/4000 [08:39<06:16,  5.35it/s]

train:  56%|█████▋    | 1985/3515 [08:36<04:45,  5.35it/s]
overall:  50%|████▉     | 1986/4000 [08:39<05:33,  6.04it/s]

train:  57%|█████▋    | 1986/3515 [08:36<04:12,  6.04it/s]
overall:  50%|████▉     | 1987/4000 [08:39<05:53,  5.70it/s]

train:  57%|█████▋    | 1987/3515 [08:36<04:27,  5.70it/s]
overall:  50%|████▉     | 1988/4000 [08:39<06:14,  5.37it/s]

train:  57%|█████▋    | 1988/3515 [08:36<04:44,  5.37it/s]
overall:  50%|████▉     | 1989/4000 [08:39<06:31,  5.14it/s]

train:  57%|█████▋    | 1989/3515 [08:36<04:56,  5.14it/s]
overall:  50%|████▉     | 1990/4000 [08:40<08:58,  3.73it/s]

train:  57%|█████▋    | 1990/3515 [08:37<06:48,  3.73it/s]
overall:  50%|████▉     | 1991/4000 [08:40<08:28,  3.95it/s]

train:  57%|█████▋    | 1991/3515 [08:37<06:26,  3.95it/s]
overall:  50%|████▉     | 1992/4000 [08:40<07:10,  4.66it/s]

train:  57%|█████▋    | 1992/3515 [08:37<05:26,  4.66it/s]
overall:  50%|████▉     | 1993/4000 [08:40<07:10,  4.66it/s]

train:  57%|█████▋    | 1993/3515 [08:37<05:26,  4.66it/s]
overall:  50%|████▉     | 1994/4000 [08:41<07:06,  4.70it/s]

train:  57%|█████▋    | 1994/3515 [08:38<05:23,  4.70it/s]
overall:  50%|████▉     | 1995/4000 [08:41<07:09,  4.67it/s]

train:  57%|█████▋    | 1995/3515 [08:38<05:25,  4.67it/s]
overall:  50%|████▉     | 1996/4000 [08:41<07:36,  4.39it/s]

train:  57%|█████▋    | 1996/3515 [08:38<05:45,  4.39it/s]
overall:  50%|████▉     | 1997/4000 [08:41<07:29,  4.46it/s]

train:  57%|█████▋    | 1997/3515 [08:38<05:40,  4.46it/s]
overall:  50%|████▉     | 1998/4000 [08:41<07:16,  4.59it/s]

train:  57%|█████▋    | 1998/3515 [08:39<05:30,  4.59it/s]
overall:  50%|████▉     | 1999/4000 [08:42<07:05,  4.71it/s]

train:  57%|█████▋    | 1999/3515 [08:39<05:22,  4.71it/s]dev loss: 2.18538498878479
dev per: 0.5514516129032258
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.9011205434799194
train per: 0.5148912521787455
train loss: 1.890509009361267
train per: 0.5144563167818982
train loss: 1.9594014883041382
train per: 0.5188537297100128
train loss: 1.8961572647094727
train per: 0.5127376107921289
train loss: 1.946812391281128
train per: 0.5142099192618224
train loss: 1.91897714138031
train per: 0.511640434701143
train loss: 1.8926723003387451
train per: 0.5091215340761855
train loss: 1.9030609130859375
train per: 0.5079620234088511
train loss: 1.9003236293792725
train per: 0.5082932176731328
train loss: 1.9021953344345093
train per: 0.5084502634187054
train loss: 1.9310367107391357
train per: 0.5129275549507577
train loss: 1.8723808526992798
train per: 0.5049756050432346
train loss: 1.9212089776992798
train per: 0.5111364211592002
train loss: 1.8645490407943726
train per: 0.5049378606302708
train loss: 1.8916540145874023
train per: 0.5093446718554819
train loss: 1.9383846521377563
train per: 0.5131008620269809
train loss: 1.9096273183822632
train per: 0.5137754521669889
train loss: 1.8596694469451904
train per: 0.5036170153339106
train loss: 1.905439019203186
train per: 0.5104115343723258
train loss: 1.9065284729003906
train per: 0.5079441946270034
train loss: 1.8713432550430298
train per: 0.5048698510831432
train loss: 1.8783185482025146
train per: 0.5041396995970204
train loss: 1.8512357473373413
train per: 0.5008078400211893
train loss: 1.9194484949111938
train per: 0.512516625498765
train loss: 1.9420007467269897
train per: 0.5249143606812273
train loss: 1.9113075733184814
train per: 0.5086606937744085
train loss: 1.8795591592788696
train per: 0.5052688462577681
train loss: 1.9425938129425049
train per: 0.5177570093457944
train loss: 1.9180643558502197
train per: 0.5115381917654486
train loss: 1.9202327728271484
train per: 0.5117080737694827
train loss: 1.8883622884750366
train per: 0.5087854302937027
train loss: 1.92529296875
train per: 0.5158434862965395
train loss: 1.9080451726913452
train per: 0.5118773062730627
train loss: 1.9053847789764404
train per: 0.5091239010427315
train loss: 1.8650165796279907
train per: 0.499770703096715
train loss: 1.8465467691421509
train per: 0.508461283219209
train loss: 1.9216817617416382
train per: 0.5237311531110639
train loss: 1.8795217275619507
train per: 0.5104102042335658
train loss: 1.8664451837539673
train per: 0.5061802341410291
train loss: 1.9519627094268799
train per: 0.5150212608615271
train loss: 1.9172656536102295
train per: 0.506271636020321
train loss: 1.9073148965835571
train per: 0.5097464383068456
train loss: 1.8950355052947998
train per: 0.5086636128261303
train loss: 1.8444604873657227
train per: 0.49657396211205157
train loss: 1.890018105506897
train per: 0.5071848085985561
train loss: 1.8933238983154297
train per: 0.5066266834453399
train loss: 1.8846858739852905
train per: 0.5077761267954433
train loss: 1.940708875656128
train per: 0.5127010615120753
train loss: 1.8446581363677979
train per: 0.49518612077594015
train loss: 1.888098955154419
train per: 0.5005688006777199
[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, 2929.99it/s]


word -> phonemes:  22%|██▏       | 587/2703 [00:00<00:00, 2720.84it/s]


word -> phonemes:  32%|███▏      | 861/2703 [00:00<00:00, 2713.77it/s]


word -> phonemes:  42%|████▏     | 1146/2703 [00:00<00:00, 2763.33it/s]


word -> phonemes:  53%|█████▎    | 1423/2703 [00:00<00:00, 2740.48it/s]


word -> phonemes:  63%|██████▎   | 1699/2703 [00:00<00:00, 2744.42it/s]


word -> phonemes:  73%|███████▎  | 1979/2703 [00:00<00:00, 2758.26it/s]


word -> phonemes:  84%|████████▎ | 2260/2703 [00:00<00:00, 2773.29it/s]


word -> phonemes:  94%|█████████▍| 2538/2703 [00:00<00:00, 2704.24it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2734.40it/s]



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


dev:   0%|          | 1/2703 [00:01<54:32,  1.21s/it]


dev:   0%|          | 3/2703 [00:01<16:49,  2.67it/s]


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dev:   0%|          | 13/2703 [00:01<03:46, 11.90it/s]


dev:   1%|          | 15/2703 [00:02<03:29, 12.82it/s]


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dev:   1%|          | 29/2703 [00:02<02:45, 16.14it/s]


dev:   1%|          | 31/2703 [00:03<02:41, 16.55it/s]


dev:   1%|          | 33/2703 [00:03<02:37, 17.00it/s]


dev:   1%|▏         | 36/2703 [00:03<02:27, 18.09it/s]


dev:   1%|▏         | 38/2703 [00:03<02:27, 18.11it/s]


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dev:   2%|▏         | 51/2703 [00:04<02:17, 19.25it/s]


dev:   2%|▏         | 53/2703 [00:04<02:18, 19.16it/s]


dev:   2%|▏         | 55/2703 [00:04<02:26, 18.11it/s]


dev:   2%|▏         | 58/2703 [00:04<02:19, 18.97it/s]


dev:   2%|▏         | 60/2703 [00:04<02:17, 19.18it/s]


dev:   2%|▏         | 63/2703 [00:04<02:14, 19.56it/s]


dev:   2%|▏         | 65/2703 [00:04<02:17, 19.20it/s]


dev:   2%|▏         | 67/2703 [00:05<02:25, 18.11it/s]


dev:   3%|▎         | 70/2703 [00:05<02:19, 18.90it/s]


dev:   3%|▎         | 72/2703 [00:05<02:19, 18.82it/s]


dev:   3%|▎         | 75/2703 [00:05<02:14, 19.49it/s]


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


dev:   3%|▎         | 80/2703 [00:05<02:18, 18.89it/s]


dev:   3%|▎         | 82/2703 [00:05<02:18, 18.88it/s]


dev:   3%|▎         | 85/2703 [00:05<02:13, 19.57it/s]


dev:   3%|▎         | 88/2703 [00:06<02:11, 19.90it/s]


dev:   3%|▎         | 90/2703 [00:06<02:13, 19.63it/s]


dev:   3%|▎         | 92/2703 [00:06<02:17, 18.99it/s]


dev:   3%|▎         | 94/2703 [00:06<02:16, 19.07it/s]


dev:   4%|▎         | 97/2703 [00:06<02:15, 19.29it/s]


dev:   4%|▎         | 99/2703 [00:06<02:15, 19.28it/s]


dev:   4%|▍         | 102/2703 [00:06<02:12, 19.64it/s]


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dev:   5%|▍         | 124/2703 [00:07<02:11, 19.67it/s]


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dev:   5%|▍         | 128/2703 [00:08<02:14, 19.16it/s]


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dev:   5%|▌         | 142/2703 [00:08<02:17, 18.62it/s]


dev:   5%|▌         | 145/2703 [00:09<02:12, 19.38it/s]


dev:   5%|▌         | 148/2703 [00:09<02:05, 20.39it/s]


dev:   6%|▌         | 151/2703 [00:09<02:06, 20.19it/s]


dev:   6%|▌         | 154/2703 [00:09<02:09, 19.72it/s]


dev:   6%|▌         | 157/2703 [00:09<02:01, 20.88it/s]


dev:   6%|▌         | 160/2703 [00:09<02:00, 21.12it/s]


dev:   6%|▌         | 163/2703 [00:09<02:04, 20.44it/s]


dev:   6%|▌         | 166/2703 [00:10<02:06, 20.02it/s]


dev:   6%|▋         | 169/2703 [00:10<02:01, 20.93it/s]


dev:   6%|▋         | 172/2703 [00:10<02:01, 20.92it/s]


dev:   6%|▋         | 175/2703 [00:10<02:04, 20.23it/s]


dev:   7%|▋         | 178/2703 [00:10<02:03, 20.37it/s]


dev:   7%|▋         | 181/2703 [00:10<02:09, 19.51it/s]


dev:   7%|▋         | 184/2703 [00:10<02:05, 20.10it/s]


dev:   7%|▋         | 187/2703 [00:11<02:09, 19.46it/s]


dev:   7%|▋         | 189/2703 [00:11<02:10, 19.19it/s]


dev:   7%|▋         | 191/2703 [00:11<02:12, 18.98it/s]


dev:   7%|▋         | 194/2703 [00:11<02:03, 20.31it/s]


dev:   7%|▋         | 197/2703 [00:11<01:59, 20.93it/s]


dev:   7%|▋         | 200/2703 [00:11<02:04, 20.07it/s]


dev:   8%|▊         | 203/2703 [00:11<02:14, 18.63it/s]


dev:   8%|▊         | 205/2703 [00:12<02:16, 18.35it/s]


dev:   8%|▊         | 207/2703 [00:12<02:15, 18.49it/s]


dev:   8%|▊         | 210/2703 [00:12<02:08, 19.35it/s]


dev:   8%|▊         | 213/2703 [00:12<02:05, 19.91it/s]


dev:   8%|▊         | 215/2703 [00:12<02:13, 18.61it/s]


dev:   8%|▊         | 218/2703 [00:12<02:07, 19.45it/s]


dev:   8%|▊         | 221/2703 [00:12<02:00, 20.63it/s]


dev:   8%|▊         | 224/2703 [00:12<01:55, 21.48it/s]


dev:   8%|▊         | 227/2703 [00:13<01:54, 21.65it/s]


dev:   9%|▊         | 230/2703 [00:13<01:53, 21.87it/s]


dev:   9%|▊         | 233/2703 [00:13<01:55, 21.29it/s]


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dev:   9%|▉         | 239/2703 [00:13<01:57, 20.91it/s]


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train:  85%|████████▍ | 2977/3515 [13:55<01:47,  5.01it/s]
overall:  74%|███████▍  | 2978/4000 [13:58<03:29,  4.89it/s]

train:  85%|████████▍ | 2978/3515 [13:55<01:49,  4.89it/s]
overall:  74%|███████▍  | 2979/4000 [13:58<03:26,  4.94it/s]

train:  85%|████████▍ | 2979/3515 [13:55<01:48,  4.94it/s]
overall:  74%|███████▍  | 2980/4000 [13:59<05:12,  3.27it/s]

train:  85%|████████▍ | 2980/3515 [13:56<02:43,  3.27it/s]
overall:  75%|███████▍  | 2982/4000 [13:59<03:25,  4.95it/s]

train:  85%|████████▍ | 2982/3515 [13:56<01:47,  4.95it/s]
overall:  75%|███████▍  | 2983/4000 [13:59<03:29,  4.86it/s]

train:  85%|████████▍ | 2983/3515 [13:56<01:49,  4.86it/s]
overall:  75%|███████▍  | 2984/4000 [13:59<03:26,  4.91it/s]

train:  85%|████████▍ | 2984/3515 [13:57<01:48,  4.91it/s]
overall:  75%|███████▍  | 2985/4000 [14:00<03:26,  4.92it/s]

train:  85%|████████▍ | 2985/3515 [13:57<01:47,  4.92it/s]
overall:  75%|███████▍  | 2986/4000 [14:00<03:25,  4.94it/s]

train:  85%|████████▍ | 2986/3515 [13:57<01:47,  4.94it/s]
overall:  75%|███████▍  | 2987/4000 [14:00<03:20,  5.05it/s]

train:  85%|████████▍ | 2987/3515 [13:57<01:44,  5.05it/s]
overall:  75%|███████▍  | 2988/4000 [14:00<03:24,  4.94it/s]

train:  85%|████████▌ | 2988/3515 [13:57<01:46,  4.94it/s]
overall:  75%|███████▍  | 2989/4000 [14:00<03:28,  4.86it/s]

train:  85%|████████▌ | 2989/3515 [13:58<01:48,  4.86it/s]
overall:  75%|███████▍  | 2990/4000 [14:01<03:27,  4.87it/s]

train:  85%|████████▌ | 2990/3515 [13:58<01:47,  4.86it/s]
overall:  75%|███████▍  | 2991/4000 [14:01<03:16,  5.13it/s]

train:  85%|████████▌ | 2991/3515 [13:58<01:42,  5.13it/s]
overall:  75%|███████▍  | 2992/4000 [14:01<03:22,  4.98it/s]

train:  85%|████████▌ | 2992/3515 [13:58<01:45,  4.98it/s]
overall:  75%|███████▍  | 2993/4000 [14:01<03:24,  4.93it/s]

train:  85%|████████▌ | 2993/3515 [13:58<01:45,  4.93it/s]
overall:  75%|███████▍  | 2994/4000 [14:01<03:20,  5.02it/s]

train:  85%|████████▌ | 2994/3515 [13:59<01:43,  5.02it/s]
overall:  75%|███████▍  | 2995/4000 [14:02<03:24,  4.90it/s]

train:  85%|████████▌ | 2995/3515 [13:59<01:46,  4.90it/s]
overall:  75%|███████▍  | 2996/4000 [14:02<03:27,  4.83it/s]

train:  85%|████████▌ | 2996/3515 [13:59<01:47,  4.83it/s]
overall:  75%|███████▍  | 2997/4000 [14:02<03:30,  4.77it/s]

train:  85%|████████▌ | 2997/3515 [13:59<01:48,  4.77it/s]
overall:  75%|███████▍  | 2998/4000 [14:02<03:23,  4.92it/s]

train:  85%|████████▌ | 2998/3515 [13:59<01:45,  4.92it/s]
overall:  75%|███████▍  | 2999/4000 [14:03<03:27,  4.82it/s]

train:  85%|████████▌ | 2999/3515 [14:00<01:47,  4.82it/s]dev loss: 2.186640501022339
dev per: 0.5501404786680542
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.830550193786621
train per: 0.49823645028405267
train loss: 1.8485149145126343
train per: 0.5101608106619672
train loss: 1.8876651525497437
train per: 0.5061791465966039
train loss: 1.907989740371704
train per: 0.5076915817289543
train loss: 1.8705106973648071
train per: 0.5030433047295949
train loss: 1.851963996887207
train per: 0.49647782290447673
train loss: 1.8908838033676147
train per: 0.5042097610169094
train loss: 1.913953185081482
train per: 0.5082676224611709
train loss: 1.8274942636489868
train per: 0.4942072725502604
train loss: 1.8645198345184326
train per: 0.49732161988429396
train loss: 1.870911955833435
train per: 0.4995389074301774
train loss: 1.8629086017608643
train per: 0.5046145217213951
train loss: 1.9384353160858154
train per: 0.5172423011120616
train loss: 1.90132737159729
train per: 0.5033119010069149
train loss: 1.8456825017929077
train per: 0.5056170212765957
train loss: 1.9149013757705688
train per: 0.5112294512618661
train loss: 1.8991981744766235
train per: 0.5088814652689783
train loss: 1.87313973903656
train per: 0.5065974530762543
train loss: 1.8718105554580688
train per: 0.5013675823522417
train loss: 1.8874599933624268
train per: 0.5044480544596581
train loss: 1.8619716167449951
train per: 0.5021323098246175
train loss: 1.925026297569275
train per: 0.511222709482718
train loss: 1.9409204721450806
train per: 0.51406666968203
train loss: 1.8704731464385986
train per: 0.5003730125425467
train loss: 1.8632968664169312
train per: 0.5045025728987993
train loss: 1.854996681213379
train per: 0.5024542508577964
train loss: 1.8366848230361938
train per: 0.49373125870658513
train loss: 1.8467919826507568
train per: 0.4998081442755048
train loss: 1.8495771884918213
train per: 0.5003221489815136
train loss: 1.9205420017242432
train per: 0.5076996565293542
train loss: 1.8339678049087524
train per: 0.49888691006233304
train loss: 1.8398971557617188
train per: 0.49962562288606027
train loss: 1.8691333532333374
train per: 0.5067117222092752
train loss: 1.8606115579605103
train per: 0.5017168350083963
train loss: 1.887049913406372
train per: 0.5041339612768184
train loss: 1.8581275939941406
train per: 0.503446754535929
train loss: 1.9097986221313477
train per: 0.5150289729996301
train loss: 1.8419733047485352
train per: 0.4991943891574258
train loss: 1.86663818359375
train per: 0.5033411115825202
train loss: 1.8455644845962524
train per: 0.49883700572743417
train loss: 1.822188138961792
train per: 0.49559986078655593
train loss: 1.880352258682251
train per: 0.5092607167217588
train loss: 1.8438161611557007
train per: 0.5031644724544022
train loss: 1.9158121347427368
train per: 0.5038856856354976
train loss: 1.8541291952133179
train per: 0.5053833014131166
train loss: 1.8866949081420898
train per: 0.4999875015623047
train loss: 1.8754298686981201
train per: 0.5015130119023603
train loss: 1.9154369831085205
train per: 0.509246893179709
train loss: 1.8515090942382812
train per: 0.5044810784882987
train loss: 1.920731782913208
train per: 0.5165203669000887
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  12%|█▏        | 314/2703 [00:00<00:00, 3132.22it/s]


word -> phonemes:  23%|██▎       | 628/2703 [00:00<00:00, 2835.59it/s]


word -> phonemes:  34%|███▍      | 914/2703 [00:00<00:00, 2519.68it/s]


word -> phonemes:  43%|████▎     | 1170/2703 [00:00<00:00, 2425.54it/s]


word -> phonemes:  52%|█████▏    | 1415/2703 [00:00<00:00, 2314.73it/s]


word -> phonemes:  62%|██████▏   | 1679/2703 [00:00<00:00, 2413.06it/s]


word -> phonemes:  74%|███████▍  | 1999/2703 [00:00<00:00, 2650.46it/s]


word -> phonemes:  85%|████████▌ | 2303/2703 [00:00<00:00, 2768.44it/s]


word -> phonemes:  97%|█████████▋| 2611/2703 [00:00<00:00, 2861.11it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2681.66it/s]



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


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train: 100%|██████████| 3515/3515 [17:41<00:00,  5.25it/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 [17:41<00:00,  3.31it/s]
dev loss: 2.184809446334839
dev per: 0.5519667013527575
train loss: 1.8213971853256226
train per: 0.49780948804606334
train loss: 1.8487319946289062
train per: 0.498144206102287
train loss: 1.8295190334320068
train per: 0.4951323987538941
train loss: 1.8437318801879883
train per: 0.4949090175916125
train loss: 1.8720521926879883
train per: 0.5031836580112198
train loss: 1.8600800037384033
train per: 0.5012694221590333
train loss: 1.8196096420288086
train per: 0.4923940966100841
train loss: 1.8914642333984375
train per: 0.5022693979491367
train loss: 1.8948137760162354
train per: 0.5057640116525159
train loss: 1.8411455154418945
train per: 0.4980980457419999
train loss: 1.877524971961975
train per: 0.5086967273926305
train loss: 1.9068870544433594
train per: 0.5080210124614262
train loss: 1.817618727684021
train per: 0.4973958988552019
train loss: 1.8500030040740967
train per: 0.49777009830247276
train loss: 1.868717908859253
train per: 0.5073103718967716
train loss: 1.894140601158142
train per: 0.5063025688951699
train loss: 1.8922125101089478
train per: 0.5031576057111478
train loss: 1.8599212169647217
train per: 0.5025395329353859
train loss: 1.8949763774871826
train per: 0.5117830029523408
train loss: 1.8731343746185303
train per: 0.5029071347062979
train loss: 1.8969180583953857
train per: 0.5169757332306169
train loss: 1.9147621393203735
train per: 0.5125132913197956
train loss: 1.9266421794891357
train per: 0.5155798572144886
train loss: 1.8807538747787476
train per: 0.5086104513064132
train loss: 1.904054880142212
train per: 0.5056803420014644
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   8%|▊         | 269/3515 [00:00<00:01, 2686.10it/s]

word -> phonemes:  15%|█▌        | 538/3515 [00:00<00:01, 2654.81it/s]

word -> phonemes:  23%|██▎       | 810/3515 [00:00<00:01, 2683.19it/s]

word -> phonemes:  31%|███       | 1087/3515 [00:00<00:00, 2713.24it/s]

word -> phonemes:  39%|███▊      | 1361/3515 [00:00<00:00, 2719.69it/s]

word -> phonemes:  47%|████▋     | 1640/3515 [00:00<00:00, 2741.96it/s]

word -> phonemes:  54%|█████▍    | 1915/3515 [00:00<00:00, 2717.71it/s]

word -> phonemes:  62%|██████▏   | 2194/3515 [00:00<00:00, 2738.27it/s]

word -> phonemes:  70%|███████   | 2468/3515 [00:00<00:00, 2670.52it/s]

word -> phonemes:  78%|███████▊  | 2747/3515 [00:01<00:00, 2705.04it/s]

word -> phonemes:  86%|████████▌ | 3018/3515 [00:01<00:00, 2665.89it/s]

word -> phonemes:  93%|█████████▎| 3285/3515 [00:01<00:00, 2396.22it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2532.84it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [17:48<11:30,  1.43s/it]

train:   0%|          | 1/3515 [00:01<1:36:12,  1.64s/it]
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overall:  89%|████████▉ | 3551/4000 [17:55<01:29,  5.02it/s]

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overall:  89%|████████▉ | 3552/4000 [17:55<01:45,  4.23it/s]

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overall:  89%|████████▉ | 3553/4000 [17:55<01:41,  4.39it/s]

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overall:  89%|████████▉ | 3554/4000 [17:56<01:38,  4.51it/s]

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overall:  89%|████████▉ | 3556/4000 [17:56<01:22,  5.38it/s]

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overall:  89%|████████▉ | 3557/4000 [17:56<01:25,  5.19it/s]

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overall:  89%|████████▉ | 3558/4000 [17:56<01:26,  5.09it/s]

train:   1%|          | 43/3515 [00:09<11:22,  5.09it/s]
overall:  89%|████████▉ | 3559/4000 [17:56<01:18,  5.64it/s]

train:   1%|▏         | 44/3515 [00:09<10:15,  5.64it/s]
overall:  89%|████████▉ | 3560/4000 [17:57<01:22,  5.35it/s]

train:   1%|▏         | 45/3515 [00:10<10:48,  5.35it/s]
overall:  89%|████████▉ | 3561/4000 [17:57<01:24,  5.21it/s]

train:   1%|▏         | 46/3515 [00:10<11:06,  5.21it/s]
overall:  89%|████████▉ | 3562/4000 [17:57<01:26,  5.09it/s]

train:   1%|▏         | 47/3515 [00:10<11:21,  5.09it/s]
overall:  89%|████████▉ | 3563/4000 [17:57<01:18,  5.60it/s]

train:   1%|▏         | 48/3515 [00:10<10:19,  5.60it/s]
overall:  89%|████████▉ | 3564/4000 [17:58<01:40,  4.34it/s]

train:   1%|▏         | 49/3515 [00:11<13:18,  4.34it/s]
overall:  89%|████████▉ | 3565/4000 [17:58<01:24,  5.12it/s]

train:   1%|▏         | 50/3515 [00:11<11:16,  5.12it/s]
overall:  89%|████████▉ | 3566/4000 [17:58<01:26,  5.04it/s]

train:   1%|▏         | 51/3515 [00:11<11:26,  5.04it/s]
overall:  89%|████████▉ | 3567/4000 [17:58<01:24,  5.15it/s]

train:   1%|▏         | 52/3515 [00:11<11:12,  5.15it/s]
overall:  89%|████████▉ | 3569/4000 [17:58<01:12,  5.94it/s]

train:   2%|▏         | 54/3515 [00:11<09:42,  5.94it/s]
overall:  89%|████████▉ | 3570/4000 [17:59<01:15,  5.67it/s]

train:   2%|▏         | 55/3515 [00:11<10:09,  5.67it/s]
overall:  89%|████████▉ | 3571/4000 [17:59<01:20,  5.30it/s]

train:   2%|▏         | 56/3515 [00:12<10:52,  5.30it/s]
overall:  89%|████████▉ | 3572/4000 [17:59<01:23,  5.12it/s]

train:   2%|▏         | 57/3515 [00:12<11:16,  5.12it/s]
overall:  89%|████████▉ | 3573/4000 [17:59<01:25,  5.00it/s]

train:   2%|▏         | 58/3515 [00:12<11:31,  5.00it/s]
overall:  89%|████████▉ | 3574/4000 [17:59<01:26,  4.95it/s]

train:   2%|▏         | 59/3515 [00:12<11:38,  4.95it/s]
overall:  89%|████████▉ | 3575/4000 [18:00<01:27,  4.86it/s]

train:   2%|▏         | 60/3515 [00:13<11:50,  4.86it/s]
overall:  89%|████████▉ | 3576/4000 [18:00<01:47,  3.95it/s]

train:   2%|▏         | 61/3515 [00:13<14:34,  3.95it/s]
overall:  89%|████████▉ | 3577/4000 [18:00<01:40,  4.22it/s]

train:   2%|▏         | 62/3515 [00:13<13:37,  4.22it/s]
overall:  89%|████████▉ | 3578/4000 [18:00<01:38,  4.29it/s]

train:   2%|▏         | 63/3515 [00:13<13:25,  4.29it/s]
overall:  89%|████████▉ | 3579/4000 [18:01<01:35,  4.40it/s]

train:   2%|▏         | 64/3515 [00:14<13:04,  4.40it/s]
overall:  90%|████████▉ | 3580/4000 [18:01<01:34,  4.46it/s]

train:   2%|▏         | 65/3515 [00:14<12:54,  4.46it/s]
overall:  90%|████████▉ | 3581/4000 [18:01<01:32,  4.54it/s]

train:   2%|▏         | 66/3515 [00:14<12:39,  4.54it/s]
overall:  90%|████████▉ | 3582/4000 [18:01<01:31,  4.57it/s]

train:   2%|▏         | 67/3515 [00:14<12:34,  4.57it/s]
overall:  90%|████████▉ | 3583/4000 [18:01<01:31,  4.57it/s]

train:   2%|▏         | 68/3515 [00:14<12:33,  4.57it/s]
overall:  90%|████████▉ | 3584/4000 [18:02<01:17,  5.36it/s]

train:   2%|▏         | 69/3515 [00:15<10:42,  5.36it/s]
overall:  90%|████████▉ | 3586/4000 [18:02<01:07,  6.15it/s]

train:   2%|▏         | 71/3515 [00:15<09:20,  6.15it/s]
overall:  90%|████████▉ | 3587/4000 [18:02<01:13,  5.65it/s]

train:   2%|▏         | 72/3515 [00:15<10:09,  5.65it/s]
overall:  90%|████████▉ | 3588/4000 [18:02<01:35,  4.30it/s]

train:   2%|▏         | 73/3515 [00:15<13:20,  4.30it/s]
overall:  90%|████████▉ | 3589/4000 [18:03<01:33,  4.38it/s]

train:   2%|▏         | 74/3515 [00:16<13:05,  4.38it/s]
overall:  90%|████████▉ | 3590/4000 [18:03<01:32,  4.46it/s]

train:   2%|▏         | 75/3515 [00:16<12:52,  4.46it/s]
overall:  90%|████████▉ | 3591/4000 [18:03<01:26,  4.70it/s]

train:   2%|▏         | 76/3515 [00:16<12:11,  4.70it/s]
overall:  90%|████████▉ | 3592/4000 [18:03<01:22,  4.95it/s]

train:   2%|▏         | 77/3515 [00:16<11:34,  4.95it/s]
overall:  90%|████████▉ | 3593/4000 [18:03<01:23,  4.86it/s]

train:   2%|▏         | 78/3515 [00:16<11:47,  4.86it/s]
overall:  90%|████████▉ | 3594/4000 [18:04<01:22,  4.92it/s]

train:   2%|▏         | 79/3515 [00:17<11:37,  4.92it/s]
overall:  90%|████████▉ | 3595/4000 [18:04<01:19,  5.11it/s]

train:   2%|▏         | 80/3515 [00:17<11:12,  5.11it/s]
overall:  90%|████████▉ | 3596/4000 [18:04<01:18,  5.16it/s]

train:   2%|▏         | 81/3515 [00:17<11:05,  5.16it/s]
overall:  90%|████████▉ | 3597/4000 [18:04<01:21,  4.97it/s]

train:   2%|▏         | 82/3515 [00:17<11:31,  4.97it/s]
overall:  90%|████████▉ | 3598/4000 [18:04<01:19,  5.03it/s]

train:   2%|▏         | 83/3515 [00:17<11:23,  5.02it/s]
overall:  90%|████████▉ | 3599/4000 [18:05<01:18,  5.14it/s]

train:   2%|▏         | 84/3515 [00:18<11:07,  5.14it/s]
overall:  90%|█████████ | 3600/4000 [18:05<01:40,  3.98it/s]

train:   2%|▏         | 85/3515 [00:18<14:22,  3.98it/s]
overall:  90%|█████████ | 3601/4000 [18:05<01:35,  4.17it/s]

train:   2%|▏         | 86/3515 [00:18<13:43,  4.17it/s]
overall:  90%|█████████ | 3602/4000 [18:05<01:29,  4.44it/s]

train:   2%|▏         | 87/3515 [00:18<12:52,  4.44it/s]
overall:  90%|█████████ | 3603/4000 [18:06<01:27,  4.53it/s]

train:   3%|▎         | 88/3515 [00:19<12:36,  4.53it/s]
overall:  90%|█████████ | 3604/4000 [18:06<01:25,  4.62it/s]

train:   3%|▎         | 89/3515 [00:19<12:22,  4.61it/s]
overall:  90%|█████████ | 3606/4000 [18:06<01:06,  5.89it/s]

train:   3%|▎         | 91/3515 [00:19<09:41,  5.89it/s]
overall:  90%|█████████ | 3607/4000 [18:06<01:12,  5.42it/s]

train:   3%|▎         | 92/3515 [00:19<10:31,  5.42it/s]
overall:  90%|█████████ | 3608/4000 [18:06<01:10,  5.60it/s]

train:   3%|▎         | 93/3515 [00:19<10:11,  5.60it/s]
overall:  90%|█████████ | 3609/4000 [18:07<01:11,  5.48it/s]

train:   3%|▎         | 94/3515 [00:20<10:24,  5.48it/s]
overall:  90%|█████████ | 3610/4000 [18:07<01:12,  5.35it/s]

train:   3%|▎         | 95/3515 [00:20<10:39,  5.35it/s]
overall:  90%|█████████ | 3611/4000 [18:07<01:16,  5.07it/s]

train:   3%|▎         | 96/3515 [00:20<11:13,  5.07it/s]
overall:  90%|█████████ | 3612/4000 [18:07<01:32,  4.18it/s]

train:   3%|▎         | 97/3515 [00:20<13:36,  4.18it/s]
overall:  90%|█████████ | 3613/4000 [18:08<01:26,  4.45it/s]

train:   3%|▎         | 98/3515 [00:21<12:48,  4.45it/s]
overall:  90%|█████████ | 3614/4000 [18:08<01:23,  4.60it/s]

train:   3%|▎         | 99/3515 [00:21<12:22,  4.60it/s]
overall:  90%|█████████ | 3615/4000 [18:08<01:22,  4.65it/s]

train:   3%|▎         | 100/3515 [00:21<12:13,  4.65it/s]
overall:  90%|█████████ | 3616/4000 [18:08<01:22,  4.68it/s]

train:   3%|▎         | 101/3515 [00:21<12:09,  4.68it/s]
overall:  90%|█████████ | 3617/4000 [18:08<01:20,  4.77it/s]

train:   3%|▎         | 102/3515 [00:21<11:55,  4.77it/s]
overall:  90%|█████████ | 3618/4000 [18:09<01:20,  4.73it/s]

train:   3%|▎         | 103/3515 [00:22<12:02,  4.72it/s]
overall:  90%|█████████ | 3619/4000 [18:09<01:22,  4.63it/s]

train:   3%|▎         | 104/3515 [00:22<12:16,  4.63it/s]
overall:  90%|█████████ | 3620/4000 [18:09<01:22,  4.62it/s]

train:   3%|▎         | 105/3515 [00:22<12:17,  4.62it/s]
overall:  91%|█████████ | 3621/4000 [18:09<01:21,  4.65it/s]

train:   3%|▎         | 106/3515 [00:22<12:13,  4.65it/s]
overall:  91%|█████████ | 3622/4000 [18:09<01:19,  4.78it/s]

train:   3%|▎         | 107/3515 [00:22<11:53,  4.78it/s]
overall:  91%|█████████ | 3623/4000 [18:10<01:20,  4.68it/s]

train:   3%|▎         | 108/3515 [00:23<12:07,  4.68it/s]
overall:  91%|█████████ | 3624/4000 [18:10<01:38,  3.80it/s]

train:   3%|▎         | 109/3515 [00:23<14:55,  3.80it/s]
overall:  91%|█████████ | 3625/4000 [18:10<01:32,  4.05it/s]

train:   3%|▎         | 110/3515 [00:23<13:59,  4.05it/s]
overall:  91%|█████████ | 3626/4000 [18:10<01:25,  4.39it/s]

train:   3%|▎         | 111/3515 [00:23<12:54,  4.39it/s]
overall:  91%|█████████ | 3627/4000 [18:11<01:23,  4.48it/s]

train:   3%|▎         | 112/3515 [00:24<12:39,  4.48it/s]
overall:  91%|█████████ | 3629/4000 [18:11<01:09,  5.30it/s]

train:   3%|▎         | 114/3515 [00:24<10:41,  5.30it/s]
overall:  91%|█████████ | 3630/4000 [18:11<01:10,  5.22it/s]

train:   3%|▎         | 115/3515 [00:24<10:51,  5.22it/s]
overall:  91%|█████████ | 3631/4000 [18:11<01:11,  5.14it/s]

train:   3%|▎         | 116/3515 [00:24<11:00,  5.14it/s]
overall:  91%|█████████ | 3632/4000 [18:12<01:12,  5.06it/s]

train:   3%|▎         | 117/3515 [00:25<11:12,  5.06it/s]
overall:  91%|█████████ | 3633/4000 [18:12<01:14,  4.96it/s]

train:   3%|▎         | 118/3515 [00:25<11:25,  4.96it/s]
overall:  91%|█████████ | 3634/4000 [18:12<01:14,  4.89it/s]

train:   3%|▎         | 119/3515 [00:25<11:34,  4.89it/s]
overall:  91%|█████████ | 3635/4000 [18:12<01:16,  4.75it/s]

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overall:  91%|█████████ | 3636/4000 [18:13<01:36,  3.78it/s]

train:   3%|▎         | 121/3515 [00:26<14:58,  3.78it/s]
overall:  91%|█████████ | 3637/4000 [18:13<01:30,  4.01it/s]

train:   3%|▎         | 122/3515 [00:26<14:05,  4.01it/s]
overall:  91%|█████████ | 3638/4000 [18:13<01:25,  4.25it/s]

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overall:  91%|█████████ | 3639/4000 [18:13<01:22,  4.38it/s]

train:   4%|▎         | 124/3515 [00:26<12:53,  4.38it/s]
overall:  91%|█████████ | 3640/4000 [18:13<01:20,  4.47it/s]

train:   4%|▎         | 125/3515 [00:26<12:38,  4.47it/s]
overall:  91%|█████████ | 3641/4000 [18:14<01:18,  4.55it/s]

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overall:  91%|█████████ | 3642/4000 [18:14<01:17,  4.62it/s]

train:   4%|▎         | 127/3515 [00:27<12:13,  4.62it/s]
overall:  91%|█████████ | 3643/4000 [18:14<01:18,  4.54it/s]

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overall: 100%|█████████▉| 3991/4000 [19:26<00:01,  4.69it/s]

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overall: 100%|█████████▉| 3994/4000 [19:27<00:01,  5.59it/s]

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overall: 100%|█████████▉| 3999/4000 [19:28<00:00,  4.94it/s]

train:  14%|█▍        | 484/3515 [01:41<10:13,  4.94it/s]train loss: 1.8658263683319092
train per: 0.49678448450476
train loss: 1.8421630859375
train per: 0.501878221368044
train loss: 1.8725388050079346
train per: 0.5050785326986228
train loss: 1.919305443763733
train per: 0.5063120567375886
train loss: 1.879544973373413
train per: 0.5108654309404873
train loss: 1.8736196756362915
train per: 0.5046392775627667
train loss: 1.8821605443954468
train per: 0.5020080321285141
train loss: 1.8584363460540771
train per: 0.5049772831691255
train loss: 1.8756555318832397
train per: 0.5149531281842266
train loss: 1.8826444149017334
train per: 0.5132944395683825
train loss: 1.879150390625
train per: 0.5057650763905156
train loss: 1.9135125875473022
train per: 0.5077420794288264
train loss: 1.8487259149551392
train per: 0.5005166981726528
train loss: 1.8834638595581055
train per: 0.5065650369364901
train loss: 1.9106357097625732
train per: 0.5130229090067622
train loss: 1.8557552099227905
train per: 0.5054967375022216
train loss: 1.8478314876556396
train per: 0.5033003300330033
train loss: 1.865035057067871
train per: 0.5007605647193041
train loss: 1.8800503015518188
train per: 0.5053782010164306
train loss: 1.8577651977539062
train per: 0.49554854539081666
train loss: 1.864706039428711
train per: 0.5047059422059422
train loss: 1.8763647079467773
train per: 0.5028457974851092
train loss: 1.8796360492706299
train per: 0.5052310478777913
train loss: 1.8622719049453735
train per: 0.4986870258704532
train loss: 1.8460204601287842
train per: 0.49630950611779856
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   9%|▉         | 251/2703 [00:00<00:00, 2504.60it/s]


word -> phonemes:  19%|█▊        | 502/2703 [00:00<00:00, 2236.92it/s]


word -> phonemes:  27%|██▋       | 728/2703 [00:00<00:00, 2239.58it/s]


word -> phonemes:  38%|███▊      | 1034/2703 [00:00<00:00, 2549.48it/s]


word -> phonemes:  49%|████▉     | 1323/2703 [00:00<00:00, 2667.65it/s]


word -> phonemes:  60%|██████    | 1634/2703 [00:00<00:00, 2815.01it/s]


word -> phonemes:  71%|███████   | 1917/2703 [00:00<00:00, 2805.96it/s]


word -> phonemes:  82%|████████▏ | 2226/2703 [00:00<00:00, 2894.67it/s]


word -> phonemes:  93%|█████████▎| 2517/2703 [00:00<00:00, 2846.04it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 2724.08it/s]



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overall: 100%|█████████▉| 3999/4000 [21:25<00:00,  4.94it/s]

train:  14%|█▍        | 484/3515 [03:38<10:13,  4.94it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [21:25<00:00,  4.94it/s]

train:  14%|█▍        | 484/3515 [03:38<10:13,  4.94it/s]
overall: 100%|██████████| 4000/4000 [21:25<00:00, 31.87s/it]

train:  14%|█▍        | 485/3515 [03:38<26:49:12, 31.87s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [03:38<22:45,  2.22it/s]   

overall: 100%|██████████| 4000/4000 [21:25<00:00,  3.11it/s]
dev loss: 2.196995496749878
dev per: 0.5522216441207076
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt