/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
Some weights of the model checkpoint at m-a-p/MERT-v1-330M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_g', 'encoder.pos_conv_embed.conv.weight_v']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-330M and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'encoder.pos_conv_embed.conv.parametrizations.weight.original0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
m-a-p/MERT-v1-330M {'model_config': None, 'refresh': False}

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]

word -> phonemes:  13%|█▎        | 467/3515 [00:00<00:00, 4661.19it/s]

word -> phonemes:  28%|██▊       | 970/3515 [00:00<00:00, 4874.24it/s]

word -> phonemes:  42%|████▏     | 1484/3515 [00:00<00:00, 4995.36it/s]

word -> phonemes:  56%|█████▋    | 1984/3515 [00:00<00:00, 4970.20it/s]

word -> phonemes:  71%|███████   | 2482/3515 [00:00<00:00, 4748.74it/s]

word -> phonemes:  84%|████████▍ | 2967/3515 [00:00<00:00, 4780.28it/s]

word -> phonemes:  98%|█████████▊| 3447/3515 [00:00<00:00, 4714.15it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4792.85it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:30:40,  4.06s/it]

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overall:   0%|          | 7/4000 [00:11<1:26:38,  1.30s/it]

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overall:   0%|          | 9/4000 [00:13<1:24:24,  1.27s/it]

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overall:   0%|          | 16/4000 [00:19<1:10:39,  1.06s/it]

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overall:   0%|          | 17/4000 [00:21<1:11:36,  1.08s/it]

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overall:   0%|          | 18/4000 [00:22<1:14:41,  1.13s/it]

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overall:   0%|          | 19/4000 [00:22<1:00:32,  1.10it/s]

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overall:   0%|          | 20/4000 [00:23<1:05:54,  1.01it/s]

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overall:   1%|          | 22/4000 [00:26<1:13:46,  1.11s/it]

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overall:   1%|          | 23/4000 [00:27<1:15:47,  1.14s/it]

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overall:   1%|          | 24/4000 [00:28<1:14:29,  1.12s/it]

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overall:   1%|          | 25/4000 [00:29<1:13:57,  1.12s/it]

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overall:   1%|          | 26/4000 [00:30<1:15:24,  1.14s/it]

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overall:   1%|          | 27/4000 [00:32<1:19:19,  1.20s/it]

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overall:   1%|          | 28/4000 [00:33<1:17:28,  1.17s/it]

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overall:   1%|          | 29/4000 [00:34<1:16:32,  1.16s/it]

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overall:   1%|          | 30/4000 [00:35<1:17:54,  1.18s/it]

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overall:   1%|          | 31/4000 [00:36<1:17:54,  1.18s/it]

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overall:   1%|          | 32/4000 [00:38<1:17:50,  1.18s/it]

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overall:   1%|          | 33/4000 [00:39<1:19:58,  1.21s/it]

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overall:   1%|          | 34/4000 [00:39<1:01:16,  1.08it/s]

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overall:   1%|          | 35/4000 [00:40<1:07:00,  1.01s/it]

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overall:   1%|          | 36/4000 [00:42<1:11:07,  1.08s/it]

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overall:   1%|          | 37/4000 [00:43<1:11:26,  1.08s/it]

train:   1%|          | 37/3515 [00:41<1:02:41,  1.08s/it]
overall:   1%|          | 38/4000 [00:44<1:12:23,  1.10s/it]

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overall:   1%|          | 39/4000 [00:45<1:11:34,  1.08s/it]

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overall:   1%|          | 40/4000 [00:46<1:04:29,  1.02it/s]

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overall:   1%|          | 41/4000 [00:47<1:07:25,  1.02s/it]

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overall:   1%|          | 42/4000 [00:48<1:10:42,  1.07s/it]

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overall:   1%|          | 45/4000 [00:51<1:02:30,  1.05it/s]

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overall:   1%|          | 46/4000 [00:51<52:03,  1.27it/s]  

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overall:   1%|          | 47/4000 [00:52<59:19,  1.11it/s]

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overall:   1%|          | 49/4000 [00:54<1:06:19,  1.01s/it]

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overall:   1%|▏         | 50/4000 [00:56<1:08:26,  1.04s/it]

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overall:   1%|▏         | 51/4000 [00:57<1:11:23,  1.08s/it]

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overall:   1%|▏         | 52/4000 [00:58<1:13:26,  1.12s/it]

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overall:   1%|▏         | 53/4000 [00:59<1:14:21,  1.13s/it]

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overall:   1%|▏         | 54/4000 [01:00<1:13:39,  1.12s/it]

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overall:   1%|▏         | 57/4000 [01:04<1:19:20,  1.21s/it]

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overall:   1%|▏         | 58/4000 [01:05<1:20:09,  1.22s/it]

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overall:  12%|█▏        | 460/4000 [08:35<1:07:15,  1.14s/it]

train:  13%|█▎        | 460/3515 [08:33<58:02,  1.14s/it]
overall:  12%|█▏        | 461/4000 [08:36<1:08:19,  1.16s/it]

train:  13%|█▎        | 461/3515 [08:34<58:58,  1.16s/it]
overall:  12%|█▏        | 462/4000 [08:37<1:08:07,  1.16s/it]

train:  13%|█▎        | 462/3515 [08:35<58:47,  1.16s/it]
overall:  12%|█▏        | 463/4000 [08:39<1:09:12,  1.17s/it]

train:  13%|█▎        | 463/3515 [08:37<59:43,  1.17s/it]
overall:  12%|█▏        | 464/4000 [08:40<1:07:36,  1.15s/it]

train:  13%|█▎        | 464/3515 [08:38<58:19,  1.15s/it]
overall:  12%|█▏        | 465/4000 [08:41<1:09:30,  1.18s/it]

train:  13%|█▎        | 465/3515 [08:39<59:58,  1.18s/it]
overall:  12%|█▏        | 466/4000 [08:42<1:09:28,  1.18s/it]

train:  13%|█▎        | 466/3515 [08:40<59:56,  1.18s/it]
overall:  12%|█▏        | 467/4000 [08:43<1:10:56,  1.20s/it]

train:  13%|█▎        | 467/3515 [08:41<1:01:11,  1.20s/it]
overall:  12%|█▏        | 468/4000 [08:44<1:01:42,  1.05s/it]

train:  13%|█▎        | 468/3515 [08:42<53:14,  1.05s/it]  
overall:  12%|█▏        | 469/4000 [08:45<1:03:57,  1.09s/it]

train:  13%|█▎        | 469/3515 [08:43<55:10,  1.09s/it]
overall:  12%|█▏        | 470/4000 [08:46<1:04:49,  1.10s/it]

train:  13%|█▎        | 470/3515 [08:44<55:54,  1.10s/it]
overall:  12%|█▏        | 471/4000 [08:47<1:06:48,  1.14s/it]

train:  13%|█▎        | 471/3515 [08:46<57:37,  1.14s/it]
overall:  12%|█▏        | 472/4000 [08:49<1:07:52,  1.15s/it]

train:  13%|█▎        | 472/3515 [08:47<58:32,  1.15s/it]
overall:  12%|█▏        | 473/4000 [08:50<1:09:41,  1.19s/it]

train:  13%|█▎        | 473/3515 [08:48<1:00:06,  1.19s/it]
overall:  12%|█▏        | 474/4000 [08:50<56:05,  1.05it/s]  

train:  13%|█▎        | 474/3515 [08:49<48:22,  1.05it/s]  
overall:  12%|█▏        | 475/4000 [08:51<52:54,  1.11it/s]

train:  14%|█▎        | 475/3515 [08:49<45:37,  1.11it/s]
overall:  12%|█▏        | 476/4000 [08:52<58:29,  1.00it/s]

train:  14%|█▎        | 476/3515 [08:51<50:26,  1.00it/s]
overall:  12%|█▏        | 477/4000 [08:54<1:03:01,  1.07s/it]

train:  14%|█▎        | 477/3515 [08:52<54:20,  1.07s/it]
overall:  12%|█▏        | 478/4000 [08:55<1:05:41,  1.12s/it]

train:  14%|█▎        | 478/3515 [08:53<56:38,  1.12s/it]
overall:  12%|█▏        | 479/4000 [08:56<1:06:24,  1.13s/it]

train:  14%|█▎        | 479/3515 [08:54<57:15,  1.13s/it]
overall:  12%|█▏        | 480/4000 [08:57<1:03:07,  1.08s/it]

train:  14%|█▎        | 480/3515 [08:55<54:25,  1.08s/it]
overall:  12%|█▏        | 481/4000 [08:58<1:03:25,  1.08s/it]

train:  14%|█▎        | 481/3515 [08:56<54:41,  1.08s/it]
overall:  12%|█▏        | 482/4000 [08:59<1:05:52,  1.12s/it]

train:  14%|█▎        | 482/3515 [08:57<56:47,  1.12s/it]
overall:  12%|█▏        | 483/4000 [09:00<1:05:14,  1.11s/it]

train:  14%|█▎        | 483/3515 [08:59<56:14,  1.11s/it]
overall:  12%|█▏        | 484/4000 [09:01<1:05:48,  1.12s/it]

train:  14%|█▍        | 484/3515 [09:00<56:43,  1.12s/it]
overall:  12%|█▏        | 485/4000 [09:02<1:02:49,  1.07s/it]

train:  14%|█▍        | 485/3515 [09:01<54:09,  1.07s/it]
overall:  12%|█▏        | 486/4000 [09:04<1:06:08,  1.13s/it]

train:  14%|█▍        | 486/3515 [09:02<57:01,  1.13s/it]
overall:  12%|█▏        | 487/4000 [09:05<1:09:02,  1.18s/it]

train:  14%|█▍        | 487/3515 [09:03<59:30,  1.18s/it]
overall:  12%|█▏        | 488/4000 [09:05<55:15,  1.06it/s]  

train:  14%|█▍        | 488/3515 [09:04<47:37,  1.06it/s]
overall:  12%|█▏        | 489/4000 [09:06<57:42,  1.01it/s]

train:  14%|█▍        | 489/3515 [09:05<49:43,  1.01it/s]
overall:  12%|█▏        | 490/4000 [09:08<1:01:49,  1.06s/it]

train:  14%|█▍        | 490/3515 [09:06<53:17,  1.06s/it]
overall:  12%|█▏        | 491/4000 [09:09<1:03:05,  1.08s/it]

train:  14%|█▍        | 491/3515 [09:07<54:22,  1.08s/it]
overall:  12%|█▏        | 492/4000 [09:10<56:03,  1.04it/s]  

train:  14%|█▍        | 492/3515 [09:08<48:18,  1.04it/s]
overall:  12%|█▏        | 493/4000 [09:11<59:41,  1.02s/it]

train:  14%|█▍        | 493/3515 [09:09<51:25,  1.02s/it]
overall:  12%|█▏        | 494/4000 [09:12<1:02:01,  1.06s/it]

train:  14%|█▍        | 494/3515 [09:10<53:27,  1.06s/it]
overall:  12%|█▏        | 495/4000 [09:13<1:03:50,  1.09s/it]

train:  14%|█▍        | 495/3515 [09:11<55:00,  1.09s/it]
overall:  12%|█▏        | 496/4000 [09:14<1:04:27,  1.10s/it]

train:  14%|█▍        | 496/3515 [09:12<55:32,  1.10s/it]
overall:  12%|█▏        | 497/4000 [09:15<1:06:02,  1.13s/it]

train:  14%|█▍        | 497/3515 [09:14<56:53,  1.13s/it]
overall:  12%|█▏        | 498/4000 [09:16<1:06:15,  1.14s/it]

train:  14%|█▍        | 498/3515 [09:15<57:04,  1.14s/it]
overall:  12%|█▏        | 499/4000 [09:17<1:03:42,  1.09s/it]

train:  14%|█▍        | 499/3515 [09:16<54:53,  1.09s/it]
overall:  12%|█▎        | 500/4000 [09:18<54:54,  1.06it/s]  

train:  14%|█▍        | 500/3515 [09:16<47:18,  1.06it/s]
overall:  13%|█▎        | 501/4000 [09:19<1:00:02,  1.03s/it]

train:  14%|█▍        | 501/3515 [09:17<51:43,  1.03s/it]
overall:  13%|█▎        | 502/4000 [09:20<1:03:03,  1.08s/it]

train:  14%|█▍        | 502/3515 [09:19<54:18,  1.08s/it]
overall:  13%|█▎        | 503/4000 [09:22<1:05:37,  1.13s/it]

train:  14%|█▍        | 503/3515 [09:20<56:31,  1.13s/it]
overall:  13%|█▎        | 504/4000 [09:23<1:07:12,  1.15s/it]

train:  14%|█▍        | 504/3515 [09:21<57:52,  1.15s/it]
overall:  13%|█▎        | 505/4000 [09:24<1:09:18,  1.19s/it]

train:  14%|█▍        | 505/3515 [09:22<59:41,  1.19s/it]
overall:  13%|█▎        | 506/4000 [09:25<1:05:54,  1.13s/it]

train:  14%|█▍        | 506/3515 [09:23<56:45,  1.13s/it]
overall:  13%|█▎        | 507/4000 [09:26<1:07:03,  1.15s/it]

train:  14%|█▍        | 507/3515 [09:25<57:44,  1.15s/it]
overall:  13%|█▎        | 508/4000 [09:28<1:08:01,  1.17s/it]

train:  14%|█▍        | 508/3515 [09:26<58:34,  1.17s/it]
overall:  13%|█▎        | 509/4000 [09:29<1:09:28,  1.19s/it]

train:  14%|█▍        | 509/3515 [09:27<59:49,  1.19s/it]
overall:  13%|█▎        | 510/4000 [09:30<1:09:39,  1.20s/it]

train:  15%|█▍        | 510/3515 [09:28<59:58,  1.20s/it]
overall:  13%|█▎        | 511/4000 [09:31<1:08:37,  1.18s/it]

train:  15%|█▍        | 511/3515 [09:29<59:04,  1.18s/it]
overall:  13%|█▎        | 512/4000 [09:32<1:07:53,  1.17s/it]

train:  15%|█▍        | 512/3515 [09:31<58:26,  1.17s/it]
overall:  13%|█▎        | 513/4000 [09:34<1:12:00,  1.24s/it]

train:  15%|█▍        | 513/3515 [09:32<1:01:59,  1.24s/it]
overall:  13%|█▎        | 514/4000 [09:35<1:09:31,  1.20s/it]

train:  15%|█▍        | 514/3515 [09:33<59:50,  1.20s/it]  
overall:  13%|█▎        | 515/4000 [09:36<1:07:25,  1.16s/it]

train:  15%|█▍        | 515/3515 [09:34<58:02,  1.16s/it]
overall:  13%|█▎        | 516/4000 [09:37<1:11:31,  1.23s/it]

train:  15%|█▍        | 516/3515 [09:36<1:01:34,  1.23s/it]
overall:  13%|█▎        | 517/4000 [09:38<1:10:08,  1.21s/it]

train:  15%|█▍        | 517/3515 [09:37<1:00:22,  1.21s/it]
overall:  13%|█▎        | 518/4000 [09:39<58:45,  1.01s/it]  

train:  15%|█▍        | 518/3515 [09:37<50:34,  1.01s/it]  
overall:  13%|█▎        | 519/4000 [09:40<1:03:18,  1.09s/it]

train:  15%|█▍        | 519/3515 [09:39<54:29,  1.09s/it]
overall:  13%|█▎        | 520/4000 [09:41<1:04:40,  1.12s/it]

train:  15%|█▍        | 520/3515 [09:40<55:39,  1.12s/it]
overall:  13%|█▎        | 521/4000 [09:43<1:06:44,  1.15s/it]

train:  15%|█▍        | 521/3515 [09:41<57:25,  1.15s/it]
overall:  13%|█▎        | 522/4000 [09:44<1:07:49,  1.17s/it]

train:  15%|█▍        | 522/3515 [09:42<58:21,  1.17s/it]
overall:  13%|█▎        | 523/4000 [09:45<1:08:53,  1.19s/it]

train:  15%|█▍        | 523/3515 [09:43<59:17,  1.19s/it]
overall:  13%|█▎        | 524/4000 [09:46<1:09:14,  1.20s/it]

train:  15%|█▍        | 524/3515 [09:45<59:34,  1.20s/it]
overall:  13%|█▎        | 525/4000 [09:48<1:10:39,  1.22s/it]

train:  15%|█▍        | 525/3515 [09:46<1:00:47,  1.22s/it]
overall:  13%|█▎        | 526/4000 [09:49<1:11:18,  1.23s/it]

train:  15%|█▍        | 526/3515 [09:47<1:01:21,  1.23s/it]
overall:  13%|█▎        | 527/4000 [09:50<1:10:48,  1.22s/it]

train:  15%|█▍        | 527/3515 [09:48<1:00:55,  1.22s/it]
overall:  13%|█▎        | 528/4000 [09:50<53:35,  1.08it/s]  

train:  15%|█▌        | 528/3515 [09:49<46:06,  1.08it/s]  
overall:  13%|█▎        | 529/4000 [09:52<58:26,  1.01s/it]

train:  15%|█▌        | 529/3515 [09:50<50:16,  1.01s/it]
overall:  13%|█▎        | 530/4000 [09:53<1:02:08,  1.07s/it]

train:  15%|█▌        | 530/3515 [09:51<53:27,  1.07s/it]
overall:  13%|█▎        | 531/4000 [09:53<53:42,  1.08it/s]  

train:  15%|█▌        | 531/3515 [09:52<46:12,  1.08it/s]
overall:  13%|█▎        | 532/4000 [09:55<58:25,  1.01s/it]

train:  15%|█▌        | 532/3515 [09:53<50:15,  1.01s/it]
overall:  13%|█▎        | 533/4000 [09:56<1:01:00,  1.06s/it]

train:  15%|█▌        | 533/3515 [09:54<52:28,  1.06s/it]
overall:  13%|█▎        | 534/4000 [09:56<54:00,  1.07it/s]  

train:  15%|█▌        | 534/3515 [09:55<46:27,  1.07it/s]
overall:  13%|█▎        | 535/4000 [09:58<58:40,  1.02s/it]

train:  15%|█▌        | 535/3515 [09:56<50:27,  1.02s/it]
overall:  13%|█▎        | 536/4000 [09:59<1:00:57,  1.06s/it]

train:  15%|█▌        | 536/3515 [09:57<52:25,  1.06s/it]
overall:  13%|█▎        | 537/4000 [10:00<1:08:56,  1.19s/it]

train:  15%|█▌        | 537/3515 [09:58<59:17,  1.19s/it]
overall:  13%|█▎        | 538/4000 [10:02<1:10:07,  1.22s/it]

train:  15%|█▌        | 538/3515 [10:00<1:00:18,  1.22s/it]
overall:  13%|█▎        | 539/4000 [10:02<1:02:20,  1.08s/it]

train:  15%|█▌        | 539/3515 [10:00<53:36,  1.08s/it]  
overall:  14%|█▎        | 540/4000 [10:03<54:55,  1.05it/s]  

train:  15%|█▌        | 540/3515 [10:01<47:13,  1.05it/s]
overall:  14%|█▎        | 541/4000 [10:04<1:00:28,  1.05s/it]

train:  15%|█▌        | 541/3515 [10:02<51:59,  1.05s/it]
overall:  14%|█▎        | 542/4000 [10:05<1:02:35,  1.09s/it]

train:  15%|█▌        | 542/3515 [10:04<53:48,  1.09s/it]
overall:  14%|█▎        | 543/4000 [10:07<1:04:42,  1.12s/it]

train:  15%|█▌        | 543/3515 [10:05<55:37,  1.12s/it]
overall:  14%|█▎        | 544/4000 [10:08<1:04:36,  1.12s/it]

train:  15%|█▌        | 544/3515 [10:06<55:32,  1.12s/it]
overall:  14%|█▎        | 545/4000 [10:09<1:06:14,  1.15s/it]

train:  16%|█▌        | 545/3515 [10:07<56:56,  1.15s/it]
overall:  14%|█▎        | 546/4000 [10:10<1:05:49,  1.14s/it]

train:  16%|█▌        | 546/3515 [10:08<56:34,  1.14s/it]
overall:  14%|█▎        | 547/4000 [10:11<1:07:13,  1.17s/it]

train:  16%|█▌        | 547/3515 [10:09<57:47,  1.17s/it]
overall:  14%|█▎        | 548/4000 [10:12<1:06:48,  1.16s/it]

train:  16%|█▌        | 548/3515 [10:11<57:25,  1.16s/it]
overall:  14%|█▎        | 549/4000 [10:14<1:08:47,  1.20s/it]

train:  16%|█▌        | 549/3515 [10:12<59:07,  1.20s/it]
overall:  14%|█▍        | 550/4000 [10:15<1:09:18,  1.21s/it]

train:  16%|█▌        | 550/3515 [10:13<59:34,  1.21s/it]
overall:  14%|█▍        | 551/4000 [10:16<1:08:39,  1.19s/it]

train:  16%|█▌        | 551/3515 [10:14<59:00,  1.19s/it]
overall:  14%|█▍        | 552/4000 [10:17<1:01:00,  1.06s/it]

train:  16%|█▌        | 552/3515 [10:15<52:25,  1.06s/it]
overall:  14%|█▍        | 553/4000 [10:18<1:01:27,  1.07s/it]

train:  16%|█▌        | 553/3515 [10:16<52:48,  1.07s/it]
overall:  14%|█▍        | 554/4000 [10:19<1:04:02,  1.12s/it]

train:  16%|█▌        | 554/3515 [10:17<55:01,  1.12s/it]
overall:  14%|█▍        | 555/4000 [10:20<51:29,  1.12it/s]  

train:  16%|█▌        | 555/3515 [10:18<44:14,  1.12it/s]
overall:  14%|█▍        | 556/4000 [10:21<56:41,  1.01it/s]

train:  16%|█▌        | 556/3515 [10:19<48:42,  1.01it/s]
overall:  14%|█▍        | 557/4000 [10:22<1:00:37,  1.06s/it]

train:  16%|█▌        | 557/3515 [10:20<52:04,  1.06s/it]
overall:  14%|█▍        | 558/4000 [10:23<1:03:06,  1.10s/it]

train:  16%|█▌        | 558/3515 [10:21<54:13,  1.10s/it]
overall:  14%|█▍        | 559/4000 [10:25<1:11:05,  1.24s/it]

train:  16%|█▌        | 559/3515 [10:23<1:01:04,  1.24s/it]
overall:  14%|█▍        | 560/4000 [10:26<1:06:55,  1.17s/it]

train:  16%|█▌        | 560/3515 [10:24<57:29,  1.17s/it]  
overall:  14%|█▍        | 561/4000 [10:27<1:08:56,  1.20s/it]

train:  16%|█▌        | 561/3515 [10:25<59:13,  1.20s/it]
overall:  14%|█▍        | 562/4000 [10:28<1:03:25,  1.11s/it]

train:  16%|█▌        | 562/3515 [10:26<54:28,  1.11s/it]
overall:  14%|█▍        | 563/4000 [10:29<1:05:23,  1.14s/it]

train:  16%|█▌        | 563/3515 [10:27<56:09,  1.14s/it]
overall:  14%|█▍        | 564/4000 [10:30<1:07:52,  1.19s/it]

train:  16%|█▌        | 564/3515 [10:29<58:17,  1.19s/it]
overall:  14%|█▍        | 565/4000 [10:31<54:48,  1.04it/s]  

train:  16%|█▌        | 565/3515 [10:29<47:03,  1.04it/s]
overall:  14%|█▍        | 566/4000 [10:32<59:28,  1.04s/it]

train:  16%|█▌        | 566/3515 [10:30<51:04,  1.04s/it]
overall:  14%|█▍        | 567/4000 [10:33<1:02:23,  1.09s/it]

train:  16%|█▌        | 567/3515 [10:31<53:34,  1.09s/it]
overall:  14%|█▍        | 568/4000 [10:34<48:33,  1.18it/s]  

train:  16%|█▌        | 568/3515 [10:32<41:42,  1.18it/s]
overall:  14%|█▍        | 569/4000 [10:35<54:43,  1.04it/s]

train:  16%|█▌        | 569/3515 [10:33<46:59,  1.04it/s]
overall:  14%|█▍        | 570/4000 [10:36<58:57,  1.03s/it]

train:  16%|█▌        | 570/3515 [10:34<50:37,  1.03s/it]
overall:  14%|█▍        | 571/4000 [10:37<1:03:27,  1.11s/it]

train:  16%|█▌        | 571/3515 [10:35<54:29,  1.11s/it]
overall:  14%|█▍        | 572/4000 [10:39<1:05:28,  1.15s/it]

train:  16%|█▋        | 572/3515 [10:37<56:12,  1.15s/it]
overall:  14%|█▍        | 573/4000 [10:40<1:07:40,  1.18s/it]

train:  16%|█▋        | 573/3515 [10:38<58:05,  1.18s/it]
overall:  14%|█▍        | 574/4000 [10:41<1:08:04,  1.19s/it]

train:  16%|█▋        | 574/3515 [10:39<58:26,  1.19s/it]
overall:  14%|█▍        | 575/4000 [10:42<1:09:22,  1.22s/it]

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overall:  14%|█▍        | 579/4000 [10:46<58:11,  1.02s/it]  

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overall:  15%|█▌        | 610/4000 [11:21<1:05:43,  1.16s/it]

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overall:  15%|█▌        | 611/4000 [11:22<53:36,  1.05it/s]  

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overall:  15%|█▌        | 616/4000 [11:27<1:02:25,  1.11s/it]

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overall:  15%|█▌        | 617/4000 [11:28<1:05:09,  1.16s/it]

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overall:  16%|█▌        | 635/4000 [11:49<54:57,  1.02it/s]  

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overall:  16%|█▌        | 638/4000 [11:52<48:18,  1.16it/s]  

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overall:  16%|█▌        | 639/4000 [11:53<55:12,  1.01it/s]

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overall:  16%|█▌        | 645/4000 [12:00<55:27,  1.01it/s]  

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overall:  16%|█▋        | 652/4000 [12:08<1:05:59,  1.18s/it]

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overall:  16%|█▋        | 656/4000 [12:13<1:06:07,  1.19s/it]

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overall:  16%|█▋        | 659/4000 [12:16<54:38,  1.02it/s]  

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overall:  17%|█▋        | 668/4000 [12:26<1:02:13,  1.12s/it]

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overall:  17%|█▋        | 669/4000 [12:27<59:22,  1.07s/it]  

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train:  28%|██▊       | 999/3515 [18:36<50:02,  1.19s/it]train loss: 233.6672821044922
train per: 1.1373157293889908
train loss: 223.95156860351562
train per: 1.042482765486175
train loss: 76.2523193359375
train per: 0.9545546815529053
train loss: 48.927608489990234
train per: 1.0916329688982078
train loss: 31.078975677490234
train per: 1.014337079668031
train loss: 27.10886573791504
train per: 0.9171482709616295
train loss: 27.833450317382812
train per: 0.9352563572747059
train loss: 25.676279067993164
train per: 0.943499676822609
train loss: 23.83624839782715
train per: 0.8972769396779722
train loss: 24.304365158081055
train per: 0.9181747472128597
train loss: 29.944507598876953
train per: 0.8874415341440599
train loss: 22.982105255126953
train per: 0.9011068816988881
train loss: 17.50069236755371
train per: 0.8986371379897785
train loss: 15.702699661254883
train per: 0.9502129053390108
train loss: 12.797592163085938
train per: 0.9856788425163968
train loss: 14.373308181762695
train per: 0.9437851838147845
train loss: 16.600481033325195
train per: 0.9297880194051887
train loss: 17.34292221069336
train per: 1.0401112094022495
train loss: 10.392175674438477
train per: 0.8867389917038928
train loss: 8.45885181427002
train per: 0.823967681850069
train loss: 7.585832118988037
train per: 0.8565056867457937
train loss: 6.236237049102783
train per: 0.8434979634774634
train loss: 8.225387573242188
train per: 0.851508829067223
train loss: 8.777188301086426
train per: 0.8649871775531754
train loss: 7.512670993804932
train per: 0.7939277841922956
train loss: 5.850793838500977
train per: 0.812317195872429
train loss: 6.828985691070557
train per: 0.8274548766352045
train loss: 7.478604793548584
train per: 0.8415897073515437
train loss: 9.239023208618164
train per: 0.828532305507658
train loss: 12.594335556030273
train per: 0.8891340319911748
train loss: 11.262778282165527
train per: 0.8600020241890592
train loss: 7.0076494216918945
train per: 0.7604223875380698
train loss: 7.19354248046875
train per: 0.7616480364032051
train loss: 6.341423511505127
train per: 0.7740551694178974
train loss: 6.4267096519470215
train per: 0.7501303379307076
train loss: 8.708135604858398
train per: 0.8578656616242449
train loss: 7.362889289855957
train per: 0.7818720226599717
train loss: 6.283241271972656
train per: 0.7481519772551046
train loss: 6.339902877807617
train per: 0.7463566277045511
train loss: 5.912866592407227
train per: 0.8158907602167145
train loss: 7.112462043762207
train per: 0.8617512635117162
train loss: 7.640166282653809
train per: 0.7964452388044881
train loss: 7.740290641784668
train per: 0.7677202169440808
train loss: 7.161408424377441
train per: 0.7351723169790131
train loss: 6.734457492828369
train per: 0.7411988119004723
train loss: 8.206815719604492
train per: 0.8242464375935055
train loss: 6.822348594665527
train per: 0.740534798038019
train loss: 6.57602596282959
train per: 0.7541465190037956
train loss: 8.85024356842041
train per: 0.7974298275278999
train loss: 7.529755592346191
train per: 0.8170815633973278
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 601/2703 [00:00<00:00, 6000.93it/s]


word -> phonemes:  44%|████▍     | 1202/2703 [00:00<00:00, 5532.90it/s]


word -> phonemes:  68%|██████▊   | 1832/2703 [00:00<00:00, 5866.79it/s]


word -> phonemes:  90%|█████████ | 2444/2703 [00:00<00:00, 5963.77it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5881.82it/s]



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overall:  47%|████▋     | 1897/4000 [38:11<34:47,  1.01it/s]

train:  54%|█████▍    | 1897/3515 [38:09<26:46,  1.01it/s]
overall:  47%|████▋     | 1898/4000 [38:12<38:09,  1.09s/it]

train:  54%|█████▍    | 1898/3515 [38:10<29:21,  1.09s/it]
overall:  47%|████▋     | 1899/4000 [38:13<31:02,  1.13it/s]

train:  54%|█████▍    | 1899/3515 [38:11<23:52,  1.13it/s]
overall:  48%|████▊     | 1900/4000 [38:14<34:43,  1.01it/s]

train:  54%|█████▍    | 1900/3515 [38:12<26:42,  1.01it/s]
overall:  48%|████▊     | 1901/4000 [38:15<37:34,  1.07s/it]

train:  54%|█████▍    | 1901/3515 [38:13<28:53,  1.07s/it]
overall:  48%|████▊     | 1902/4000 [38:16<39:40,  1.13s/it]

train:  54%|█████▍    | 1902/3515 [38:15<30:30,  1.13s/it]
overall:  48%|████▊     | 1903/4000 [38:18<41:00,  1.17s/it]

train:  54%|█████▍    | 1903/3515 [38:16<31:31,  1.17s/it]
overall:  48%|████▊     | 1904/4000 [38:19<41:28,  1.19s/it]

train:  54%|█████▍    | 1904/3515 [38:17<31:52,  1.19s/it]
overall:  48%|████▊     | 1905/4000 [38:20<42:43,  1.22s/it]

train:  54%|█████▍    | 1905/3515 [38:18<32:50,  1.22s/it]
overall:  48%|████▊     | 1906/4000 [38:21<42:23,  1.21s/it]

train:  54%|█████▍    | 1906/3515 [38:20<32:34,  1.21s/it]
overall:  48%|████▊     | 1907/4000 [38:23<42:17,  1.21s/it]

train:  54%|█████▍    | 1907/3515 [38:21<32:29,  1.21s/it]
overall:  48%|████▊     | 1908/4000 [38:23<36:02,  1.03s/it]

train:  54%|█████▍    | 1908/3515 [38:21<27:41,  1.03s/it]
overall:  48%|████▊     | 1909/4000 [38:24<38:07,  1.09s/it]

train:  54%|█████▍    | 1909/3515 [38:23<29:16,  1.09s/it]
overall:  48%|████▊     | 1910/4000 [38:26<39:56,  1.15s/it]

train:  54%|█████▍    | 1910/3515 [38:24<30:40,  1.15s/it]
overall:  48%|████▊     | 1911/4000 [38:26<33:35,  1.04it/s]

train:  54%|█████▍    | 1911/3515 [38:24<25:47,  1.04it/s]
overall:  48%|████▊     | 1912/4000 [38:27<35:16,  1.01s/it]

train:  54%|█████▍    | 1912/3515 [38:26<27:05,  1.01s/it]
overall:  48%|████▊     | 1913/4000 [38:29<36:36,  1.05s/it]

train:  54%|█████▍    | 1913/3515 [38:27<28:06,  1.05s/it]
overall:  48%|████▊     | 1914/4000 [38:29<35:35,  1.02s/it]

train:  54%|█████▍    | 1914/3515 [38:28<27:18,  1.02s/it]
overall:  48%|████▊     | 1915/4000 [38:31<35:58,  1.04s/it]

train:  54%|█████▍    | 1915/3515 [38:29<27:36,  1.04s/it]
overall:  48%|████▊     | 1916/4000 [38:31<28:14,  1.23it/s]

train:  55%|█████▍    | 1916/3515 [38:29<21:40,  1.23it/s]
overall:  48%|████▊     | 1917/4000 [38:32<32:19,  1.07it/s]

train:  55%|█████▍    | 1917/3515 [38:30<24:47,  1.07it/s]
overall:  48%|████▊     | 1918/4000 [38:33<35:07,  1.01s/it]

train:  55%|█████▍    | 1918/3515 [38:31<26:56,  1.01s/it]
overall:  48%|████▊     | 1919/4000 [38:34<36:44,  1.06s/it]

train:  55%|█████▍    | 1919/3515 [38:33<28:10,  1.06s/it]
overall:  48%|████▊     | 1920/4000 [38:36<38:05,  1.10s/it]

train:  55%|█████▍    | 1920/3515 [38:34<29:12,  1.10s/it]
overall:  48%|████▊     | 1921/4000 [38:37<39:10,  1.13s/it]

train:  55%|█████▍    | 1921/3515 [38:35<30:01,  1.13s/it]
overall:  48%|████▊     | 1922/4000 [38:38<39:37,  1.14s/it]

train:  55%|█████▍    | 1922/3515 [38:36<30:22,  1.14s/it]
overall:  48%|████▊     | 1923/4000 [38:39<40:51,  1.18s/it]

train:  55%|█████▍    | 1923/3515 [38:37<31:18,  1.18s/it]
overall:  48%|████▊     | 1924/4000 [38:40<41:02,  1.19s/it]

train:  55%|█████▍    | 1924/3515 [38:39<31:27,  1.19s/it]
overall:  48%|████▊     | 1925/4000 [38:42<41:54,  1.21s/it]

train:  55%|█████▍    | 1925/3515 [38:40<32:06,  1.21s/it]
overall:  48%|████▊     | 1926/4000 [38:43<42:18,  1.22s/it]

train:  55%|█████▍    | 1926/3515 [38:41<32:25,  1.22s/it]
overall:  48%|████▊     | 1927/4000 [38:43<32:34,  1.06it/s]

train:  55%|█████▍    | 1927/3515 [38:41<24:57,  1.06it/s]
overall:  48%|████▊     | 1928/4000 [38:45<35:38,  1.03s/it]

train:  55%|█████▍    | 1928/3515 [38:43<27:17,  1.03s/it]
overall:  48%|████▊     | 1929/4000 [38:46<37:28,  1.09s/it]

train:  55%|█████▍    | 1929/3515 [38:44<28:42,  1.09s/it]
overall:  48%|████▊     | 1930/4000 [38:47<38:35,  1.12s/it]

train:  55%|█████▍    | 1930/3515 [38:45<29:33,  1.12s/it]
overall:  48%|████▊     | 1931/4000 [38:48<39:01,  1.13s/it]

train:  55%|█████▍    | 1931/3515 [38:46<29:52,  1.13s/it]
overall:  48%|████▊     | 1932/4000 [38:49<40:39,  1.18s/it]

train:  55%|█████▍    | 1932/3515 [38:48<31:07,  1.18s/it]
overall:  48%|████▊     | 1933/4000 [38:50<39:53,  1.16s/it]

train:  55%|█████▍    | 1933/3515 [38:49<30:31,  1.16s/it]
overall:  48%|████▊     | 1934/4000 [38:52<40:14,  1.17s/it]

train:  55%|█████▌    | 1934/3515 [38:50<30:47,  1.17s/it]
overall:  48%|████▊     | 1935/4000 [38:53<41:26,  1.20s/it]

train:  55%|█████▌    | 1935/3515 [38:51<31:42,  1.20s/it]
overall:  48%|████▊     | 1936/4000 [38:54<41:37,  1.21s/it]

train:  55%|█████▌    | 1936/3515 [38:52<31:50,  1.21s/it]
overall:  48%|████▊     | 1937/4000 [38:55<41:16,  1.20s/it]

train:  55%|█████▌    | 1937/3515 [38:54<31:34,  1.20s/it]
overall:  48%|████▊     | 1938/4000 [38:57<41:16,  1.20s/it]

train:  55%|█████▌    | 1938/3515 [38:55<31:33,  1.20s/it]
overall:  48%|████▊     | 1939/4000 [38:58<42:19,  1.23s/it]

train:  55%|█████▌    | 1939/3515 [38:56<32:22,  1.23s/it]
overall:  48%|████▊     | 1940/4000 [38:59<40:45,  1.19s/it]

train:  55%|█████▌    | 1940/3515 [38:57<31:10,  1.19s/it]
overall:  49%|████▊     | 1941/4000 [39:00<40:32,  1.18s/it]

train:  55%|█████▌    | 1941/3515 [38:58<30:59,  1.18s/it]
overall:  49%|████▊     | 1942/4000 [39:01<40:50,  1.19s/it]

train:  55%|█████▌    | 1942/3515 [39:00<31:13,  1.19s/it]
overall:  49%|████▊     | 1943/4000 [39:03<40:51,  1.19s/it]

train:  55%|█████▌    | 1943/3515 [39:01<31:13,  1.19s/it]
overall:  49%|████▊     | 1944/4000 [39:04<40:08,  1.17s/it]

train:  55%|█████▌    | 1944/3515 [39:02<30:39,  1.17s/it]
overall:  49%|████▊     | 1945/4000 [39:05<40:36,  1.19s/it]

train:  55%|█████▌    | 1945/3515 [39:03<31:01,  1.19s/it]
overall:  49%|████▊     | 1946/4000 [39:06<44:59,  1.31s/it]

train:  55%|█████▌    | 1946/3515 [39:05<34:21,  1.31s/it]
overall:  49%|████▊     | 1947/4000 [39:08<44:13,  1.29s/it]

train:  55%|█████▌    | 1947/3515 [39:06<33:46,  1.29s/it]
overall:  49%|████▊     | 1948/4000 [39:09<39:56,  1.17s/it]

train:  55%|█████▌    | 1948/3515 [39:07<30:29,  1.17s/it]
overall:  49%|████▊     | 1949/4000 [39:10<39:26,  1.15s/it]

train:  55%|█████▌    | 1949/3515 [39:08<30:07,  1.15s/it]
overall:  49%|████▉     | 1950/4000 [39:11<40:35,  1.19s/it]

train:  55%|█████▌    | 1950/3515 [39:09<30:59,  1.19s/it]
overall:  49%|████▉     | 1951/4000 [39:12<40:45,  1.19s/it]

train:  56%|█████▌    | 1951/3515 [39:10<31:06,  1.19s/it]
overall:  49%|████▉     | 1952/4000 [39:13<38:15,  1.12s/it]

train:  56%|█████▌    | 1952/3515 [39:11<29:11,  1.12s/it]
overall:  49%|████▉     | 1953/4000 [39:14<39:45,  1.17s/it]

train:  56%|█████▌    | 1953/3515 [39:13<30:20,  1.17s/it]
overall:  49%|████▉     | 1954/4000 [39:16<40:11,  1.18s/it]

train:  56%|█████▌    | 1954/3515 [39:14<30:39,  1.18s/it]
overall:  49%|████▉     | 1955/4000 [39:17<39:24,  1.16s/it]

train:  56%|█████▌    | 1955/3515 [39:15<30:03,  1.16s/it]
overall:  49%|████▉     | 1956/4000 [39:18<39:00,  1.15s/it]

train:  56%|█████▌    | 1956/3515 [39:16<29:45,  1.15s/it]
overall:  49%|████▉     | 1957/4000 [39:19<39:10,  1.15s/it]

train:  56%|█████▌    | 1957/3515 [39:17<29:52,  1.15s/it]
overall:  49%|████▉     | 1958/4000 [39:20<39:34,  1.16s/it]

train:  56%|█████▌    | 1958/3515 [39:18<30:10,  1.16s/it]
overall:  49%|████▉     | 1959/4000 [39:21<40:11,  1.18s/it]

train:  56%|█████▌    | 1959/3515 [39:20<30:38,  1.18s/it]
overall:  49%|████▉     | 1960/4000 [39:23<40:45,  1.20s/it]

train:  56%|█████▌    | 1960/3515 [39:21<31:04,  1.20s/it]
overall:  49%|████▉     | 1961/4000 [39:24<41:28,  1.22s/it]

train:  56%|█████▌    | 1961/3515 [39:22<31:36,  1.22s/it]
overall:  49%|████▉     | 1962/4000 [39:25<41:27,  1.22s/it]

train:  56%|█████▌    | 1962/3515 [39:23<31:35,  1.22s/it]
overall:  49%|████▉     | 1963/4000 [39:26<40:35,  1.20s/it]

train:  56%|█████▌    | 1963/3515 [39:24<30:55,  1.20s/it]
overall:  49%|████▉     | 1964/4000 [39:28<40:46,  1.20s/it]

train:  56%|█████▌    | 1964/3515 [39:26<31:03,  1.20s/it]
overall:  49%|████▉     | 1965/4000 [39:28<38:03,  1.12s/it]

train:  56%|█████▌    | 1965/3515 [39:27<28:59,  1.12s/it]
overall:  49%|████▉     | 1966/4000 [39:30<39:08,  1.15s/it]

train:  56%|█████▌    | 1966/3515 [39:28<29:48,  1.15s/it]
overall:  49%|████▉     | 1967/4000 [39:31<38:42,  1.14s/it]

train:  56%|█████▌    | 1967/3515 [39:29<29:28,  1.14s/it]
overall:  49%|████▉     | 1968/4000 [39:31<32:15,  1.05it/s]

train:  56%|█████▌    | 1968/3515 [39:29<24:33,  1.05it/s]
overall:  49%|████▉     | 1969/4000 [39:32<34:13,  1.01s/it]

train:  56%|█████▌    | 1969/3515 [39:31<26:03,  1.01s/it]
overall:  49%|████▉     | 1970/4000 [39:34<36:54,  1.09s/it]

train:  56%|█████▌    | 1970/3515 [39:32<28:05,  1.09s/it]
overall:  49%|████▉     | 1971/4000 [39:35<37:45,  1.12s/it]

train:  56%|█████▌    | 1971/3515 [39:33<28:43,  1.12s/it]
overall:  49%|████▉     | 1972/4000 [39:36<38:46,  1.15s/it]

train:  56%|█████▌    | 1972/3515 [39:34<29:29,  1.15s/it]
overall:  49%|████▉     | 1973/4000 [39:37<39:56,  1.18s/it]

train:  56%|█████▌    | 1973/3515 [39:36<30:22,  1.18s/it]
overall:  49%|████▉     | 1974/4000 [39:39<40:05,  1.19s/it]

train:  56%|█████▌    | 1974/3515 [39:37<30:29,  1.19s/it]
overall:  49%|████▉     | 1975/4000 [39:39<32:23,  1.04it/s]

train:  56%|█████▌    | 1975/3515 [39:37<24:37,  1.04it/s]
overall:  49%|████▉     | 1976/4000 [39:40<34:55,  1.04s/it]

train:  56%|█████▌    | 1976/3515 [39:38<26:33,  1.04s/it]
overall:  49%|████▉     | 1977/4000 [39:41<36:46,  1.09s/it]

train:  56%|█████▌    | 1977/3515 [39:40<27:57,  1.09s/it]
overall:  49%|████▉     | 1978/4000 [39:43<37:27,  1.11s/it]

train:  56%|█████▋    | 1978/3515 [39:41<28:28,  1.11s/it]
overall:  49%|████▉     | 1979/4000 [39:44<38:20,  1.14s/it]

train:  56%|█████▋    | 1979/3515 [39:42<29:08,  1.14s/it]
overall:  50%|████▉     | 1980/4000 [39:45<38:28,  1.14s/it]

train:  56%|█████▋    | 1980/3515 [39:43<29:13,  1.14s/it]
overall:  50%|████▉     | 1981/4000 [39:46<37:37,  1.12s/it]

train:  56%|█████▋    | 1981/3515 [39:44<28:35,  1.12s/it]
overall:  50%|████▉     | 1982/4000 [39:47<38:38,  1.15s/it]

train:  56%|█████▋    | 1982/3515 [39:45<29:21,  1.15s/it]
overall:  50%|████▉     | 1983/4000 [39:49<40:06,  1.19s/it]

train:  56%|█████▋    | 1983/3515 [39:47<30:27,  1.19s/it]
overall:  50%|████▉     | 1984/4000 [39:50<40:46,  1.21s/it]

train:  56%|█████▋    | 1984/3515 [39:48<30:57,  1.21s/it]
overall:  50%|████▉     | 1985/4000 [39:51<40:43,  1.21s/it]

train:  56%|█████▋    | 1985/3515 [39:49<30:55,  1.21s/it]
overall:  50%|████▉     | 1986/4000 [39:52<40:40,  1.21s/it]

train:  57%|█████▋    | 1986/3515 [39:50<30:52,  1.21s/it]
overall:  50%|████▉     | 1987/4000 [39:53<40:38,  1.21s/it]

train:  57%|█████▋    | 1987/3515 [39:52<30:50,  1.21s/it]
overall:  50%|████▉     | 1988/4000 [39:55<39:42,  1.18s/it]

train:  57%|█████▋    | 1988/3515 [39:53<30:07,  1.18s/it]
overall:  50%|████▉     | 1989/4000 [39:56<39:36,  1.18s/it]

train:  57%|█████▋    | 1989/3515 [39:54<30:03,  1.18s/it]
overall:  50%|████▉     | 1990/4000 [39:57<39:22,  1.18s/it]

train:  57%|█████▋    | 1990/3515 [39:55<29:52,  1.18s/it]
overall:  50%|████▉     | 1991/4000 [39:58<39:31,  1.18s/it]

train:  57%|█████▋    | 1991/3515 [39:56<29:59,  1.18s/it]
overall:  50%|████▉     | 1992/4000 [39:59<39:59,  1.20s/it]

train:  57%|█████▋    | 1992/3515 [39:57<30:20,  1.20s/it]
overall:  50%|████▉     | 1993/4000 [40:01<40:38,  1.21s/it]

train:  57%|█████▋    | 1993/3515 [39:59<30:48,  1.21s/it]
overall:  50%|████▉     | 1994/4000 [40:02<42:34,  1.27s/it]

train:  57%|█████▋    | 1994/3515 [40:00<32:16,  1.27s/it]
overall:  50%|████▉     | 1995/4000 [40:03<41:07,  1.23s/it]

train:  57%|█████▋    | 1995/3515 [40:01<31:10,  1.23s/it]
overall:  50%|████▉     | 1996/4000 [40:04<40:27,  1.21s/it]

train:  57%|█████▋    | 1996/3515 [40:02<30:40,  1.21s/it]
overall:  50%|████▉     | 1997/4000 [40:06<40:59,  1.23s/it]

train:  57%|█████▋    | 1997/3515 [40:04<31:04,  1.23s/it]
overall:  50%|████▉     | 1998/4000 [40:07<40:56,  1.23s/it]

train:  57%|█████▋    | 1998/3515 [40:05<31:01,  1.23s/it]
overall:  50%|████▉     | 1999/4000 [40:08<40:20,  1.21s/it]

train:  57%|█████▋    | 1999/3515 [40:06<30:33,  1.21s/it]dev loss: 7.792261123657227
dev per: 0.754687825182102
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.1243438720703125
train per: 0.7904106280193237
train loss: 8.653629302978516
train per: 0.7971078323423622
train loss: 7.6355299949646
train per: 0.8058333333333333
train loss: 7.436000823974609
train per: 0.8099676303158835
train loss: 6.5835113525390625
train per: 0.7839434717599961
train loss: 6.250044345855713
train per: 0.7647502942286768
train loss: 7.735875606536865
train per: 0.8377748331370239
train loss: 6.792362213134766
train per: 0.7508094050209649
train loss: 8.976048469543457
train per: 0.8035009249289047
train loss: 10.315849304199219
train per: 0.8673754441159719
train loss: 8.42922592163086
train per: 0.7383674622954189
train loss: 7.198233604431152
train per: 0.7929154009902174
train loss: 7.2806243896484375
train per: 0.7435764216890233
train loss: 8.11530876159668
train per: 0.805548883017055
train loss: 12.605179786682129
train per: 0.8490472945985951
train loss: 8.756758689880371
train per: 0.7961217552533992
train loss: 7.933865547180176
train per: 0.753224635658049
train loss: 6.196652412414551
train per: 0.7249246663796814
train loss: 7.070525169372559
train per: 0.760910216229029
train loss: 9.736485481262207
train per: 0.791550110928909
train loss: 7.9050397872924805
train per: 0.7343039126478617
train loss: 7.385149955749512
train per: 0.7326150138229248
train loss: 6.182969570159912
train per: 0.7342535668715926
train loss: 6.307053089141846
train per: 0.7816424132375132
train loss: 9.62082290649414
train per: 0.8352167114153365
train loss: 7.9457831382751465
train per: 0.7271465492485881
train loss: 8.52795124053955
train per: 0.7577831454643049
train loss: 8.721210479736328
train per: 0.7590237281319123
train loss: 6.945239067077637
train per: 0.7216494845360825
train loss: 11.950411796569824
train per: 0.7984960489421361
train loss: 10.288385391235352
train per: 0.7939828014871924
train loss: 11.118382453918457
train per: 0.7733793396828398
train loss: 11.524286270141602
train per: 0.8089595293984558
train loss: 10.151288032531738
train per: 0.7397595226344834
train loss: 7.447046756744385
train per: 0.7276622263768794
train loss: 5.912617206573486
train per: 0.7030203400642835
train loss: 5.758597373962402
train per: 0.7508940335027292
train loss: 6.28048038482666
train per: 0.7464498971348287
train loss: 8.426462173461914
train per: 0.7627983459482988
train loss: 10.242866516113281
train per: 0.783863178072643
train loss: 7.454634666442871
train per: 0.7153544181912451
train loss: 6.130983829498291
train per: 0.7067527033498853
train loss: 6.088943958282471
train per: 0.7486988289460514
train loss: 6.7261176109313965
train per: 0.7267694548986281
train loss: 9.067700386047363
train per: 0.8492029835108639
train loss: 8.518445014953613
train per: 0.7777864077669903
train loss: 8.24433708190918
train per: 0.7441132146557408
train loss: 7.048464775085449
train per: 0.7117259988638516
train loss: 6.867319583892822
train per: 0.7124397010672598
train loss: 8.451703071594238
train per: 0.7681796551020871
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  23%|██▎       | 609/2703 [00:00<00:00, 6085.42it/s]


word -> phonemes:  45%|████▌     | 1218/2703 [00:00<00:00, 5931.87it/s]


word -> phonemes:  67%|██████▋   | 1812/2703 [00:00<00:00, 5777.57it/s]


word -> phonemes:  88%|████████▊ | 2391/2703 [00:00<00:00, 5557.48it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5654.20it/s]



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train:  85%|████████▌ | 2999/3515 [1:01:32<09:34,  1.11s/it]dev loss: 11.080365180969238
dev per: 0.7963579604578565
train loss: 12.617314338684082
train per: 0.8338389443827846
train loss: 9.043025016784668
train per: 0.7408767163521551
train loss: 7.8849196434021
train per: 0.7841997346520323
train loss: 6.9907026290893555
train per: 0.7139902124009888
train loss: 6.329761028289795
train per: 0.7473887431315281
train loss: 8.48953914642334
train per: 0.7908534409399105
train loss: 10.246365547180176
train per: 0.8338298186108244
train loss: 8.63357925415039
train per: 0.7671668625959477
train loss: 8.4729585647583
train per: 0.7664723378941106
train loss: 6.185642242431641
train per: 0.7185648238588266
train loss: 5.336810111999512
train per: 0.7073401437760121
train loss: 7.02402400970459
train per: 0.8211245149062905
train loss: 7.895105838775635
train per: 0.7393357822925257
train loss: 9.790181159973145
train per: 0.7681948563372065
train loss: 12.544294357299805
train per: 0.7989877606637954
train loss: 8.021712303161621
train per: 0.6972969002497429
train loss: 7.053727149963379
train per: 0.769209673398155
train loss: 7.578196048736572
train per: 0.7321950251013983
train loss: 5.616869926452637
train per: 0.709530459467503
train loss: 7.2928032875061035
train per: 0.7682563727538655
train loss: 7.440620422363281
train per: 0.752550957074406
train loss: 6.183429718017578
train per: 0.722105828632823
train loss: 7.791201591491699
train per: 0.7382577469143142
train loss: 9.161764144897461
train per: 0.759991910407766
train loss: 7.311369895935059
train per: 0.702139998840109
train loss: 8.129568099975586
train per: 0.7463148180480383
train loss: 11.430620193481445
train per: 0.8360933431092458
train loss: 8.76928424835205
train per: 0.7212976929353874
train loss: 6.43057107925415
train per: 0.7080707650655838
train loss: 6.944984436035156
train per: 0.7605484972845452
train loss: 6.636446475982666
train per: 0.7848284023668639
train loss: 7.512795925140381
train per: 0.8097471983320302
train loss: 9.10584545135498
train per: 0.7645287117957833
train loss: 12.80146312713623
train per: 0.9414652823134614
train loss: 9.721868515014648
train per: 0.7805425631431244
train loss: 9.442670822143555
train per: 0.7361862907980063
train loss: 9.445611953735352
train per: 0.7600639626376974
train loss: 8.54496955871582
train per: 0.7329069312100248
train loss: 6.9376397132873535
train per: 0.726229002928032
train loss: 5.650265693664551
train per: 0.7088721003438423
train loss: 5.950397491455078
train per: 0.6982255595944136
train loss: 11.979986190795898
train per: 0.8038940445553563
train loss: 8.902298927307129
train per: 0.7281578471630381
train loss: 7.468312740325928
train per: 0.7435591777156064
train loss: 6.870842933654785
train per: 0.7815286118680388
train loss: 6.730113983154297
train per: 0.7329514457174031
train loss: 7.006862640380859
train per: 0.7866176656950957
train loss: 6.34225606918335
train per: 0.7414176694337457
train loss: 7.255494117736816
train per: 0.7211635975447024
train loss: 8.355104446411133
train per: 0.7443020616606771
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 568/2703 [00:00<00:00, 5670.62it/s]


word -> phonemes:  43%|████▎     | 1151/2703 [00:00<00:00, 5758.11it/s]


word -> phonemes:  64%|██████▍   | 1739/2703 [00:00<00:00, 5811.89it/s]


word -> phonemes:  86%|████████▌ | 2321/2703 [00:00<00:00, 5804.36it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5780.14it/s]



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overall:  76%|███████▋  | 3053/4000 [1:05:34<19:07,  1.21s/it]

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overall:  77%|███████▋  | 3061/4000 [1:05:43<18:40,  1.19s/it]

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overall:  77%|███████▋  | 3064/4000 [1:05:47<18:32,  1.19s/it]

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overall:  77%|███████▋  | 3065/4000 [1:05:48<17:24,  1.12s/it]

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overall:  77%|███████▋  | 3066/4000 [1:05:49<18:08,  1.17s/it]

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overall:  77%|███████▋  | 3067/4000 [1:05:50<18:33,  1.19s/it]

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overall:  77%|███████▋  | 3069/4000 [1:05:52<18:22,  1.18s/it]

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overall:  77%|███████▋  | 3079/4000 [1:06:03<16:14,  1.06s/it]

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overall:  77%|███████▋  | 3080/4000 [1:06:04<17:17,  1.13s/it]

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overall:  80%|███████▉  | 3188/4000 [1:08:01<12:24,  1.09it/s]

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overall:  80%|███████▉  | 3189/4000 [1:08:03<13:48,  1.02s/it]

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overall:  80%|███████▉  | 3190/4000 [1:08:04<14:33,  1.08s/it]

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overall:  88%|████████▊ | 3506/4000 [1:13:58<09:29,  1.15s/it]

train: 100%|█████████▉| 3506/3515 [1:13:56<00:10,  1.15s/it]
overall:  88%|████████▊ | 3507/4000 [1:14:00<09:46,  1.19s/it]

train: 100%|█████████▉| 3507/3515 [1:13:58<00:09,  1.19s/it]
overall:  88%|████████▊ | 3508/4000 [1:14:01<09:49,  1.20s/it]

train: 100%|█████████▉| 3508/3515 [1:13:59<00:08,  1.20s/it]
overall:  88%|████████▊ | 3509/4000 [1:14:02<09:39,  1.18s/it]

train: 100%|█████████▉| 3509/3515 [1:14:00<00:07,  1.18s/it]
overall:  88%|████████▊ | 3510/4000 [1:14:02<07:58,  1.02it/s]

train: 100%|█████████▉| 3510/3515 [1:14:01<00:04,  1.02it/s]
overall:  88%|████████▊ | 3511/4000 [1:14:03<07:25,  1.10it/s]

train: 100%|█████████▉| 3511/3515 [1:14:01<00:03,  1.10it/s]
overall:  88%|████████▊ | 3512/4000 [1:14:04<08:11,  1.01s/it]

train: 100%|█████████▉| 3512/3515 [1:14:03<00:03,  1.01s/it]
overall:  88%|████████▊ | 3513/4000 [1:14:06<08:30,  1.05s/it]

train: 100%|█████████▉| 3513/3515 [1:14:04<00:02,  1.05s/it]
overall:  88%|████████▊ | 3514/4000 [1:14:07<08:57,  1.11s/it]

train: 100%|█████████▉| 3514/3515 [1:14:05<00:01,  1.11s/it]
overall:  88%|████████▊ | 3515/4000 [1:14:08<09:19,  1.15s/it]

train: 100%|██████████| 3515/3515 [1:14:06<00:00,  1.15s/it]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 [1:14:06<00:00,  1.27s/it]
dev loss: 10.947501182556152
dev per: 0.7508896982310094
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 8.91287612915039
train per: 0.7479911658286734
train loss: 7.847318172454834
train per: 0.7329628066225787
train loss: 8.895711898803711
train per: 0.7234826129039873
train loss: 8.217367172241211
train per: 0.7097904705092835
train loss: 7.611874580383301
train per: 0.7284218335378206
train loss: 11.136885643005371
train per: 0.7875351871826577
train loss: 8.103982925415039
train per: 0.7154138479368245
train loss: 5.713284969329834
train per: 0.691769587032034
train loss: 5.16296911239624
train per: 0.6944225638419514
train loss: 6.706606388092041
train per: 0.7661330965465933
train loss: 7.962715148925781
train per: 0.7632319301659085
train loss: 8.20494270324707
train per: 0.751738492833152
train loss: 8.575604438781738
train per: 0.7705346788719188
train loss: 7.083825588226318
train per: 0.7186039789970615
train loss: 6.821043491363525
train per: 0.7086159376872379
train loss: 7.329159736633301
train per: 0.6906819155099881
train loss: 7.414339542388916
train per: 0.716608224418234
train loss: 8.541747093200684
train per: 0.7717048922138006
train loss: 9.488622665405273
train per: 0.7907370517928287
train loss: 8.569607734680176
train per: 0.7337056428155905
train loss: 7.102701663970947
train per: 0.6980616038236857
train loss: 9.334169387817383
train per: 0.8175303050486213
train loss: 11.237462043762207
train per: 0.802131200476912
train loss: 7.043531894683838
train per: 0.6925608086764241
train loss: 8.363508224487305
train per: 0.7845335799329557
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   8%|▊         | 273/3515 [00:00<00:01, 2646.53it/s]

word -> phonemes:  16%|█▌        | 558/3515 [00:00<00:01, 2763.44it/s]

word -> phonemes:  25%|██▍       | 863/3515 [00:00<00:00, 2853.92it/s]

word -> phonemes:  34%|███▎      | 1179/3515 [00:00<00:00, 2972.90it/s]

word -> phonemes:  42%|████▏     | 1482/3515 [00:00<00:00, 2992.13it/s]

word -> phonemes:  53%|█████▎    | 1849/3515 [00:00<00:00, 3221.22it/s]

word -> phonemes:  64%|██████▍   | 2266/3515 [00:00<00:00, 3528.38it/s]

word -> phonemes:  75%|███████▍  | 2620/3515 [00:00<00:00, 3419.43it/s]

word -> phonemes:  84%|████████▍ | 2963/3515 [00:00<00:00, 3231.16it/s]

word -> phonemes:  95%|█████████▌| 3348/3515 [00:01<00:00, 3409.87it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 3193.35it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:14:13<18:37,  2.31s/it]

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overall:  88%|████████▊ | 3517/4000 [1:14:15<16:38,  2.07s/it]

train:   0%|          | 2/3515 [00:04<1:52:40,  1.92s/it]
overall:  88%|████████▊ | 3518/4000 [1:14:16<14:42,  1.83s/it]

train:   0%|          | 3/3515 [00:05<1:35:23,  1.63s/it]
overall:  88%|████████▊ | 3519/4000 [1:14:17<13:02,  1.63s/it]

train:   0%|          | 4/3515 [00:06<1:24:22,  1.44s/it]
overall:  88%|████████▊ | 3520/4000 [1:14:18<12:10,  1.52s/it]

train:   0%|          | 5/3515 [00:07<1:20:51,  1.38s/it]
overall:  88%|████████▊ | 3521/4000 [1:14:20<11:35,  1.45s/it]

train:   0%|          | 6/3515 [00:09<1:18:55,  1.35s/it]
overall:  88%|████████▊ | 3522/4000 [1:14:21<10:49,  1.36s/it]

train:   0%|          | 7/3515 [00:10<1:14:54,  1.28s/it]
overall:  88%|████████▊ | 3523/4000 [1:14:21<08:34,  1.08s/it]

train:   0%|          | 8/3515 [00:10<59:01,  1.01s/it]  
overall:  88%|████████▊ | 3524/4000 [1:14:22<08:51,  1.12s/it]

train:   0%|          | 9/3515 [00:11<1:02:34,  1.07s/it]
overall:  88%|████████▊ | 3525/4000 [1:14:23<08:51,  1.12s/it]

train:   0%|          | 10/3515 [00:12<1:03:32,  1.09s/it]
overall:  88%|████████▊ | 3526/4000 [1:14:25<09:12,  1.17s/it]

train:   0%|          | 11/3515 [00:14<1:06:48,  1.14s/it]
overall:  88%|████████▊ | 3527/4000 [1:14:26<09:05,  1.15s/it]

train:   0%|          | 12/3515 [00:15<1:06:29,  1.14s/it]
overall:  88%|████████▊ | 3528/4000 [1:14:27<09:12,  1.17s/it]

train:   0%|          | 13/3515 [00:16<1:07:42,  1.16s/it]
overall:  88%|████████▊ | 3529/4000 [1:14:28<09:26,  1.20s/it]

train:   0%|          | 14/3515 [00:17<1:09:49,  1.20s/it]
overall:  88%|████████▊ | 3530/4000 [1:14:29<09:18,  1.19s/it]

train:   0%|          | 15/3515 [00:18<1:09:02,  1.18s/it]
overall:  88%|████████▊ | 3531/4000 [1:14:31<09:21,  1.20s/it]

train:   0%|          | 16/3515 [00:20<1:09:34,  1.19s/it]
overall:  88%|████████▊ | 3532/4000 [1:14:32<09:30,  1.22s/it]

train:   0%|          | 17/3515 [00:21<1:10:53,  1.22s/it]
overall:  88%|████████▊ | 3533/4000 [1:14:33<09:23,  1.21s/it]

train:   1%|          | 18/3515 [00:22<1:10:11,  1.20s/it]
overall:  88%|████████▊ | 3534/4000 [1:14:34<09:23,  1.21s/it]

train:   1%|          | 19/3515 [00:23<1:10:21,  1.21s/it]
overall:  88%|████████▊ | 3535/4000 [1:14:36<09:33,  1.23s/it]

train:   1%|          | 20/3515 [00:25<1:11:46,  1.23s/it]
overall:  88%|████████▊ | 3536/4000 [1:14:37<09:36,  1.24s/it]

train:   1%|          | 21/3515 [00:26<1:12:21,  1.24s/it]
overall:  88%|████████▊ | 3537/4000 [1:14:38<09:39,  1.25s/it]

train:   1%|          | 22/3515 [00:27<1:12:49,  1.25s/it]
overall:  88%|████████▊ | 3538/4000 [1:14:39<09:33,  1.24s/it]

train:   1%|          | 23/3515 [00:28<1:12:12,  1.24s/it]
overall:  88%|████████▊ | 3539/4000 [1:14:41<09:35,  1.25s/it]

train:   1%|          | 24/3515 [00:30<1:12:37,  1.25s/it]
overall:  88%|████████▊ | 3540/4000 [1:14:42<09:34,  1.25s/it]

train:   1%|          | 25/3515 [00:31<1:12:34,  1.25s/it]
overall:  89%|████████▊ | 3541/4000 [1:14:43<09:42,  1.27s/it]

train:   1%|          | 26/3515 [00:32<1:13:44,  1.27s/it]
overall:  89%|████████▊ | 3542/4000 [1:14:44<09:15,  1.21s/it]

train:   1%|          | 27/3515 [00:33<1:10:33,  1.21s/it]
overall:  89%|████████▊ | 3543/4000 [1:14:46<09:14,  1.21s/it]

train:   1%|          | 28/3515 [00:35<1:10:30,  1.21s/it]
overall:  89%|████████▊ | 3544/4000 [1:14:47<09:00,  1.18s/it]

train:   1%|          | 29/3515 [00:36<1:08:49,  1.18s/it]
overall:  89%|████████▊ | 3545/4000 [1:14:48<09:08,  1.21s/it]

train:   1%|          | 30/3515 [00:37<1:09:59,  1.21s/it]
overall:  89%|████████▊ | 3546/4000 [1:14:49<08:56,  1.18s/it]

train:   1%|          | 31/3515 [00:38<1:08:37,  1.18s/it]
overall:  89%|████████▊ | 3547/4000 [1:14:49<07:12,  1.05it/s]

train:   1%|          | 32/3515 [00:38<55:24,  1.05it/s]  
overall:  89%|████████▊ | 3548/4000 [1:14:51<07:54,  1.05s/it]

train:   1%|          | 33/3515 [00:40<1:00:56,  1.05s/it]
overall:  89%|████████▊ | 3549/4000 [1:14:52<08:25,  1.12s/it]

train:   1%|          | 34/3515 [00:41<1:05:01,  1.12s/it]
overall:  89%|████████▉ | 3550/4000 [1:14:53<08:34,  1.14s/it]

train:   1%|          | 35/3515 [00:42<1:06:21,  1.14s/it]
overall:  89%|████████▉ | 3551/4000 [1:14:54<08:34,  1.15s/it]

train:   1%|          | 36/3515 [00:43<1:06:25,  1.15s/it]
overall:  89%|████████▉ | 3552/4000 [1:14:56<08:41,  1.16s/it]

train:   1%|          | 37/3515 [00:45<1:07:29,  1.16s/it]
overall:  89%|████████▉ | 3553/4000 [1:14:57<08:56,  1.20s/it]

train:   1%|          | 38/3515 [00:46<1:09:29,  1.20s/it]
overall:  89%|████████▉ | 3554/4000 [1:14:58<09:04,  1.22s/it]

train:   1%|          | 39/3515 [00:47<1:10:47,  1.22s/it]
overall:  89%|████████▉ | 3555/4000 [1:14:59<09:05,  1.23s/it]

train:   1%|          | 40/3515 [00:48<1:10:59,  1.23s/it]
overall:  89%|████████▉ | 3556/4000 [1:15:01<09:08,  1.24s/it]

train:   1%|          | 41/3515 [00:50<1:11:32,  1.24s/it]
overall:  89%|████████▉ | 3557/4000 [1:15:02<09:00,  1.22s/it]

train:   1%|          | 42/3515 [00:51<1:10:39,  1.22s/it]
overall:  89%|████████▉ | 3558/4000 [1:15:03<08:31,  1.16s/it]

train:   1%|          | 43/3515 [00:52<1:06:55,  1.16s/it]
overall:  89%|████████▉ | 3559/4000 [1:15:04<08:29,  1.16s/it]

train:   1%|▏         | 44/3515 [00:53<1:06:53,  1.16s/it]
overall:  89%|████████▉ | 3560/4000 [1:15:05<08:45,  1.20s/it]

train:   1%|▏         | 45/3515 [00:54<1:09:07,  1.20s/it]
overall:  89%|████████▉ | 3561/4000 [1:15:06<08:46,  1.20s/it]

train:   1%|▏         | 46/3515 [00:55<1:09:22,  1.20s/it]
overall:  89%|████████▉ | 3562/4000 [1:15:07<07:29,  1.03s/it]

train:   1%|▏         | 47/3515 [00:56<59:18,  1.03s/it]  
overall:  89%|████████▉ | 3563/4000 [1:15:08<07:07,  1.02it/s]

train:   1%|▏         | 48/3515 [00:57<56:30,  1.02it/s]
overall:  89%|████████▉ | 3564/4000 [1:15:09<07:42,  1.06s/it]

train:   1%|▏         | 49/3515 [00:58<1:01:19,  1.06s/it]
overall:  89%|████████▉ | 3565/4000 [1:15:11<08:21,  1.15s/it]

train:   1%|▏         | 50/3515 [01:00<1:06:38,  1.15s/it]
overall:  89%|████████▉ | 3566/4000 [1:15:12<08:17,  1.15s/it]

train:   1%|▏         | 51/3515 [01:01<1:06:13,  1.15s/it]
overall:  89%|████████▉ | 3567/4000 [1:15:13<08:32,  1.18s/it]

train:   1%|▏         | 52/3515 [01:02<1:08:18,  1.18s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:14<08:28,  1.18s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:51,  1.18s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:15<08:34,  1.19s/it]

train:   2%|▏         | 54/3515 [01:04<1:08:47,  1.19s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:17<08:25,  1.18s/it]

train:   2%|▏         | 55/3515 [01:05<1:07:50,  1.18s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:18<08:35,  1.20s/it]

train:   2%|▏         | 56/3515 [01:07<1:09:20,  1.20s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:19<08:45,  1.23s/it]

train:   2%|▏         | 57/3515 [01:08<1:10:49,  1.23s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:20<08:51,  1.25s/it]

train:   2%|▏         | 58/3515 [01:09<1:11:46,  1.25s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:22<08:56,  1.26s/it]

train:   2%|▏         | 59/3515 [01:11<1:12:36,  1.26s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:23<08:58,  1.27s/it]

train:   2%|▏         | 60/3515 [01:12<1:13:01,  1.27s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:24<08:54,  1.26s/it]

train:   2%|▏         | 61/3515 [01:13<1:12:37,  1.26s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:26<09:07,  1.29s/it]

train:   2%|▏         | 62/3515 [01:15<1:14:26,  1.29s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:27<08:53,  1.26s/it]

train:   2%|▏         | 63/3515 [01:16<1:12:41,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:28<08:46,  1.25s/it]

train:   2%|▏         | 64/3515 [01:17<1:11:55,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:29<08:41,  1.24s/it]

train:   2%|▏         | 65/3515 [01:18<1:11:21,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:30<08:23,  1.20s/it]

train:   2%|▏         | 66/3515 [01:19<1:09:01,  1.20s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:32<08:24,  1.21s/it]

train:   2%|▏         | 67/3515 [01:20<1:09:22,  1.21s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:33<08:31,  1.23s/it]

train:   2%|▏         | 68/3515 [01:22<1:10:30,  1.23s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:34<08:21,  1.21s/it]

train:   2%|▏         | 69/3515 [01:23<1:09:16,  1.21s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:35<07:36,  1.10s/it]

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overall:  90%|████████▉ | 3586/4000 [1:15:36<07:35,  1.10s/it]

train:   2%|▏         | 71/3515 [01:25<1:03:10,  1.10s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:37<07:58,  1.16s/it]

train:   2%|▏         | 72/3515 [01:26<1:06:31,  1.16s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:38<08:10,  1.19s/it]

train:   2%|▏         | 73/3515 [01:27<1:08:19,  1.19s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:40<08:30,  1.24s/it]

train:   2%|▏         | 74/3515 [01:29<1:11:11,  1.24s/it]
overall:  90%|████████▉ | 3590/4000 [1:15:41<08:34,  1.25s/it]

train:   2%|▏         | 75/3515 [01:30<1:11:54,  1.25s/it]
overall:  90%|████████▉ | 3591/4000 [1:15:42<08:34,  1.26s/it]

train:   2%|▏         | 76/3515 [01:31<1:12:03,  1.26s/it]
overall:  90%|████████▉ | 3592/4000 [1:15:44<08:27,  1.24s/it]

train:   2%|▏         | 77/3515 [01:33<1:11:12,  1.24s/it]
overall:  90%|████████▉ | 3593/4000 [1:15:45<08:31,  1.26s/it]

train:   2%|▏         | 78/3515 [01:34<1:11:56,  1.26s/it]
overall:  90%|████████▉ | 3594/4000 [1:15:46<08:11,  1.21s/it]

train:   2%|▏         | 79/3515 [01:35<1:09:21,  1.21s/it]
overall:  90%|████████▉ | 3595/4000 [1:15:47<07:59,  1.18s/it]

train:   2%|▏         | 80/3515 [01:36<1:07:45,  1.18s/it]
overall:  90%|████████▉ | 3596/4000 [1:15:48<07:54,  1.17s/it]

train:   2%|▏         | 81/3515 [01:37<1:07:10,  1.17s/it]
overall:  90%|████████▉ | 3597/4000 [1:15:50<08:05,  1.20s/it]

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overall:  90%|████████▉ | 3598/4000 [1:15:51<08:14,  1.23s/it]

train:   2%|▏         | 83/3515 [01:40<1:10:21,  1.23s/it]
overall:  90%|████████▉ | 3599/4000 [1:15:52<08:18,  1.24s/it]

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overall:  90%|█████████ | 3600/4000 [1:15:53<08:29,  1.27s/it]

train:   2%|▏         | 85/3515 [01:42<1:12:46,  1.27s/it]
overall:  90%|█████████ | 3601/4000 [1:15:55<08:36,  1.29s/it]

train:   2%|▏         | 86/3515 [01:44<1:13:55,  1.29s/it]
overall:  90%|█████████ | 3602/4000 [1:15:56<08:16,  1.25s/it]

train:   2%|▏         | 87/3515 [01:45<1:11:19,  1.25s/it]
overall:  90%|█████████ | 3603/4000 [1:15:57<08:12,  1.24s/it]

train:   3%|▎         | 88/3515 [01:46<1:10:53,  1.24s/it]
overall:  90%|█████████ | 3604/4000 [1:15:58<07:58,  1.21s/it]

train:   3%|▎         | 89/3515 [01:47<1:09:02,  1.21s/it]
overall:  90%|█████████ | 3605/4000 [1:15:59<07:51,  1.19s/it]

train:   3%|▎         | 90/3515 [01:48<1:08:06,  1.19s/it]
overall:  90%|█████████ | 3606/4000 [1:16:01<07:47,  1.19s/it]

train:   3%|▎         | 91/3515 [01:50<1:07:45,  1.19s/it]
overall:  90%|█████████ | 3607/4000 [1:16:02<07:49,  1.20s/it]

train:   3%|▎         | 92/3515 [01:51<1:08:13,  1.20s/it]
overall:  90%|█████████ | 3608/4000 [1:16:03<07:56,  1.22s/it]

train:   3%|▎         | 93/3515 [01:52<1:09:23,  1.22s/it]
overall:  90%|█████████ | 3609/4000 [1:16:03<06:17,  1.04it/s]

train:   3%|▎         | 94/3515 [01:52<55:04,  1.04it/s]  
overall:  90%|█████████ | 3610/4000 [1:16:04<06:14,  1.04it/s]

train:   3%|▎         | 95/3515 [01:53<54:46,  1.04it/s]
overall:  90%|█████████ | 3611/4000 [1:16:06<06:35,  1.02s/it]

train:   3%|▎         | 96/3515 [01:55<58:00,  1.02s/it]
overall:  90%|█████████ | 3612/4000 [1:16:07<06:44,  1.04s/it]

train:   3%|▎         | 97/3515 [01:56<59:26,  1.04s/it]
overall:  90%|█████████ | 3613/4000 [1:16:08<07:04,  1.10s/it]

train:   3%|▎         | 98/3515 [01:57<1:02:23,  1.10s/it]
overall:  90%|█████████ | 3614/4000 [1:16:09<07:09,  1.11s/it]

train:   3%|▎         | 99/3515 [01:58<1:03:21,  1.11s/it]
overall:  90%|█████████ | 3615/4000 [1:16:10<07:16,  1.13s/it]

train:   3%|▎         | 100/3515 [01:59<1:04:31,  1.13s/it]
overall:  90%|█████████ | 3616/4000 [1:16:11<07:28,  1.17s/it]

train:   3%|▎         | 101/3515 [02:00<1:06:28,  1.17s/it]
overall:  90%|█████████ | 3617/4000 [1:16:13<07:33,  1.18s/it]

train:   3%|▎         | 102/3515 [02:02<1:07:18,  1.18s/it]
overall:  90%|█████████ | 3618/4000 [1:16:14<07:42,  1.21s/it]

train:   3%|▎         | 103/3515 [02:03<1:08:50,  1.21s/it]
overall:  90%|█████████ | 3619/4000 [1:16:15<06:32,  1.03s/it]

train:   3%|▎         | 104/3515 [02:04<58:29,  1.03s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:15<05:37,  1.13it/s]

train:   3%|▎         | 105/3515 [02:04<50:26,  1.13it/s]
overall:  91%|█████████ | 3621/4000 [1:16:15<04:25,  1.43it/s]

train:   3%|▎         | 106/3515 [02:04<39:46,  1.43it/s]
overall:  91%|█████████ | 3622/4000 [1:16:17<05:20,  1.18it/s]

train:   3%|▎         | 107/3515 [02:06<48:11,  1.18it/s]
overall:  91%|█████████ | 3623/4000 [1:16:18<06:09,  1.02it/s]

train:   3%|▎         | 108/3515 [02:07<55:43,  1.02it/s]
overall:  91%|█████████ | 3624/4000 [1:16:19<06:25,  1.03s/it]

train:   3%|▎         | 109/3515 [02:08<58:13,  1.03s/it]
overall:  91%|█████████ | 3625/4000 [1:16:20<05:29,  1.14it/s]

train:   3%|▎         | 110/3515 [02:09<49:52,  1.14it/s]
overall:  91%|█████████ | 3626/4000 [1:16:21<06:13,  1.00it/s]

train:   3%|▎         | 111/3515 [02:10<56:35,  1.00it/s]
overall:  91%|█████████ | 3627/4000 [1:16:22<06:27,  1.04s/it]

train:   3%|▎         | 112/3515 [02:11<58:59,  1.04s/it]
overall:  91%|█████████ | 3628/4000 [1:16:23<06:56,  1.12s/it]

train:   3%|▎         | 113/3515 [02:12<1:03:29,  1.12s/it]
overall:  91%|█████████ | 3629/4000 [1:16:24<07:04,  1.14s/it]

train:   3%|▎         | 114/3515 [02:13<1:04:52,  1.14s/it]
overall:  91%|█████████ | 3630/4000 [1:16:25<05:28,  1.13it/s]

train:   3%|▎         | 115/3515 [02:14<50:15,  1.13it/s]  
overall:  91%|█████████ | 3631/4000 [1:16:26<06:03,  1.02it/s]

train:   3%|▎         | 116/3515 [02:15<55:43,  1.02it/s]
overall:  91%|█████████ | 3632/4000 [1:16:27<06:25,  1.05s/it]

train:   3%|▎         | 117/3515 [02:16<59:21,  1.05s/it]
overall:  91%|█████████ | 3633/4000 [1:16:28<06:10,  1.01s/it]

train:   3%|▎         | 118/3515 [02:17<57:06,  1.01s/it]
overall:  91%|█████████ | 3634/4000 [1:16:29<06:27,  1.06s/it]

train:   3%|▎         | 119/3515 [02:18<59:55,  1.06s/it]
overall:  91%|█████████ | 3635/4000 [1:16:30<06:15,  1.03s/it]

train:   3%|▎         | 120/3515 [02:19<58:16,  1.03s/it]
overall:  91%|█████████ | 3636/4000 [1:16:31<06:34,  1.08s/it]

train:   3%|▎         | 121/3515 [02:20<1:01:19,  1.08s/it]
overall:  91%|█████████ | 3637/4000 [1:16:33<06:37,  1.09s/it]

train:   3%|▎         | 122/3515 [02:22<1:01:53,  1.09s/it]
overall:  91%|█████████ | 3638/4000 [1:16:34<06:45,  1.12s/it]

train:   3%|▎         | 123/3515 [02:23<1:03:19,  1.12s/it]
overall:  91%|█████████ | 3639/4000 [1:16:35<07:01,  1.17s/it]

train:   4%|▎         | 124/3515 [02:24<1:05:54,  1.17s/it]
overall:  91%|█████████ | 3640/4000 [1:16:36<06:52,  1.15s/it]

train:   4%|▎         | 125/3515 [02:25<1:04:42,  1.15s/it]
overall:  91%|█████████ | 3641/4000 [1:16:36<05:32,  1.08it/s]

train:   4%|▎         | 126/3515 [02:25<52:17,  1.08it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:38<06:05,  1.02s/it]

train:   4%|▎         | 127/3515 [02:27<57:34,  1.02s/it]
overall:  91%|█████████ | 3643/4000 [1:16:39<06:04,  1.02s/it]

train:   4%|▎         | 128/3515 [02:28<57:36,  1.02s/it]
overall:  91%|█████████ | 3644/4000 [1:16:40<06:24,  1.08s/it]

train:   4%|▎         | 129/3515 [02:29<1:00:52,  1.08s/it]
overall:  91%|█████████ | 3645/4000 [1:16:41<06:12,  1.05s/it]

train:   4%|▎         | 130/3515 [02:30<59:09,  1.05s/it]  
overall:  91%|█████████ | 3646/4000 [1:16:42<06:34,  1.11s/it]

train:   4%|▎         | 131/3515 [02:31<1:02:47,  1.11s/it]
overall:  91%|█████████ | 3647/4000 [1:16:43<06:33,  1.11s/it]

train:   4%|▍         | 132/3515 [02:32<1:02:47,  1.11s/it]
overall:  91%|█████████ | 3648/4000 [1:16:45<06:52,  1.17s/it]

train:   4%|▍         | 133/3515 [02:34<1:06:05,  1.17s/it]
overall:  91%|█████████ | 3649/4000 [1:16:46<06:58,  1.19s/it]

train:   4%|▍         | 134/3515 [02:35<1:07:09,  1.19s/it]
overall:  91%|█████████▏| 3650/4000 [1:16:47<06:59,  1.20s/it]

train:   4%|▍         | 135/3515 [02:36<1:07:31,  1.20s/it]
overall:  91%|█████████▏| 3651/4000 [1:16:48<07:03,  1.21s/it]

train:   4%|▍         | 136/3515 [02:37<1:08:18,  1.21s/it]
overall:  91%|█████████▏| 3652/4000 [1:16:49<06:48,  1.17s/it]

train:   4%|▍         | 137/3515 [02:38<1:06:06,  1.17s/it]
overall:  91%|█████████▏| 3653/4000 [1:16:51<06:51,  1.19s/it]

train:   4%|▍         | 138/3515 [02:40<1:06:49,  1.19s/it]
overall:  91%|█████████▏| 3654/4000 [1:16:52<06:56,  1.20s/it]

train:   4%|▍         | 139/3515 [02:41<1:07:41,  1.20s/it]
overall:  91%|█████████▏| 3655/4000 [1:16:53<06:56,  1.21s/it]

train:   4%|▍         | 140/3515 [02:42<1:07:52,  1.21s/it]
overall:  91%|█████████▏| 3656/4000 [1:16:54<06:47,  1.19s/it]

train:   4%|▍         | 141/3515 [02:43<1:06:39,  1.19s/it]
overall:  91%|█████████▏| 3657/4000 [1:16:55<06:34,  1.15s/it]

train:   4%|▍         | 142/3515 [02:44<1:04:34,  1.15s/it]
overall:  91%|█████████▏| 3658/4000 [1:16:57<06:45,  1.18s/it]

train:   4%|▍         | 143/3515 [02:46<1:06:34,  1.18s/it]
overall:  91%|█████████▏| 3659/4000 [1:16:58<06:45,  1.19s/it]

train:   4%|▍         | 144/3515 [02:47<1:06:44,  1.19s/it]
overall:  92%|█████████▏| 3660/4000 [1:16:59<06:51,  1.21s/it]

train:   4%|▍         | 145/3515 [02:48<1:07:55,  1.21s/it]
overall:  92%|█████████▏| 3661/4000 [1:17:00<07:05,  1.25s/it]

train:   4%|▍         | 146/3515 [02:49<1:10:27,  1.25s/it]
overall:  92%|█████████▏| 3662/4000 [1:17:01<05:25,  1.04it/s]

train:   4%|▍         | 147/3515 [02:50<54:01,  1.04it/s]  
overall:  92%|█████████▏| 3663/4000 [1:17:01<04:25,  1.27it/s]

train:   4%|▍         | 148/3515 [02:50<44:07,  1.27it/s]
overall:  92%|█████████▏| 3664/4000 [1:17:02<05:08,  1.09it/s]

train:   4%|▍         | 149/3515 [02:51<51:27,  1.09it/s]
overall:  92%|█████████▏| 3665/4000 [1:17:03<05:33,  1.00it/s]

train:   4%|▍         | 150/3515 [02:52<55:53,  1.00it/s]
overall:  92%|█████████▏| 3666/4000 [1:17:05<06:00,  1.08s/it]

train:   4%|▍         | 151/3515 [02:54<1:00:34,  1.08s/it]
overall:  92%|█████████▏| 3667/4000 [1:17:06<06:18,  1.14s/it]

train:   4%|▍         | 152/3515 [02:55<1:03:45,  1.14s/it]
overall:  92%|█████████▏| 3668/4000 [1:17:07<06:19,  1.14s/it]

train:   4%|▍         | 153/3515 [02:56<1:04:07,  1.14s/it]
overall:  92%|█████████▏| 3669/4000 [1:17:08<06:32,  1.19s/it]

train:   4%|▍         | 154/3515 [02:57<1:06:25,  1.19s/it]
overall:  92%|█████████▏| 3670/4000 [1:17:10<06:38,  1.21s/it]

train:   4%|▍         | 155/3515 [02:59<1:07:35,  1.21s/it]
overall:  92%|█████████▏| 3671/4000 [1:17:11<06:42,  1.22s/it]

train:   4%|▍         | 156/3515 [03:00<1:08:30,  1.22s/it]
overall:  92%|█████████▏| 3672/4000 [1:17:12<06:42,  1.23s/it]

train:   4%|▍         | 157/3515 [03:01<1:08:39,  1.23s/it]
overall:  92%|█████████▏| 3673/4000 [1:17:14<06:51,  1.26s/it]

train:   4%|▍         | 158/3515 [03:02<1:10:28,  1.26s/it]
overall:  92%|█████████▏| 3674/4000 [1:17:15<06:51,  1.26s/it]

train:   5%|▍         | 159/3515 [03:04<1:10:40,  1.26s/it]
overall:  92%|█████████▏| 3675/4000 [1:17:16<06:35,  1.22s/it]

train:   5%|▍         | 160/3515 [03:05<1:08:03,  1.22s/it]
overall:  92%|█████████▏| 3676/4000 [1:17:17<06:41,  1.24s/it]

train:   5%|▍         | 161/3515 [03:06<1:09:21,  1.24s/it]
overall:  92%|█████████▏| 3677/4000 [1:17:18<06:02,  1.12s/it]

train:   5%|▍         | 162/3515 [03:07<1:02:46,  1.12s/it]
overall:  92%|█████████▏| 3678/4000 [1:17:19<06:01,  1.12s/it]

train:   5%|▍         | 163/3515 [03:08<1:02:39,  1.12s/it]
overall:  92%|█████████▏| 3679/4000 [1:17:20<05:13,  1.02it/s]

train:   5%|▍         | 164/3515 [03:09<54:35,  1.02it/s]  
overall:  92%|█████████▏| 3680/4000 [1:17:21<05:30,  1.03s/it]

train:   5%|▍         | 165/3515 [03:10<57:44,  1.03s/it]
overall:  92%|█████████▏| 3681/4000 [1:17:22<05:47,  1.09s/it]

train:   5%|▍         | 166/3515 [03:11<1:00:44,  1.09s/it]
overall:  92%|█████████▏| 3682/4000 [1:17:23<05:52,  1.11s/it]

train:   5%|▍         | 167/3515 [03:12<1:01:47,  1.11s/it]
overall:  92%|█████████▏| 3683/4000 [1:17:25<06:02,  1.14s/it]

train:   5%|▍         | 168/3515 [03:14<1:03:44,  1.14s/it]
overall:  92%|█████████▏| 3684/4000 [1:17:26<06:06,  1.16s/it]

train:   5%|▍         | 169/3515 [03:15<1:04:44,  1.16s/it]
overall:  92%|█████████▏| 3685/4000 [1:17:27<06:22,  1.21s/it]

train:   5%|▍         | 170/3515 [03:16<1:07:40,  1.21s/it]
overall:  92%|█████████▏| 3686/4000 [1:17:28<06:27,  1.23s/it]

train:   5%|▍         | 171/3515 [03:17<1:08:43,  1.23s/it]
overall:  92%|█████████▏| 3687/4000 [1:17:30<06:19,  1.21s/it]

train:   5%|▍         | 172/3515 [03:19<1:07:28,  1.21s/it]
overall:  92%|█████████▏| 3688/4000 [1:17:31<06:23,  1.23s/it]

train:   5%|▍         | 173/3515 [03:20<1:08:25,  1.23s/it]
overall:  92%|█████████▏| 3689/4000 [1:17:32<06:15,  1.21s/it]

train:   5%|▍         | 174/3515 [03:21<1:07:10,  1.21s/it]
overall:  92%|█████████▏| 3690/4000 [1:17:33<06:15,  1.21s/it]

train:   5%|▍         | 175/3515 [03:22<1:07:25,  1.21s/it]
overall:  92%|█████████▏| 3691/4000 [1:17:34<06:14,  1.21s/it]

train:   5%|▌         | 176/3515 [03:23<1:07:23,  1.21s/it]
overall:  92%|█████████▏| 3692/4000 [1:17:35<05:40,  1.11s/it]

train:   5%|▌         | 177/3515 [03:24<1:01:28,  1.11s/it]
overall:  92%|█████████▏| 3693/4000 [1:17:36<04:37,  1.10it/s]

train:   5%|▌         | 178/3515 [03:25<50:21,  1.10it/s]  
overall:  92%|█████████▏| 3694/4000 [1:17:37<05:07,  1.00s/it]

train:   5%|▌         | 179/3515 [03:26<55:47,  1.00s/it]
overall:  92%|█████████▏| 3695/4000 [1:17:38<05:30,  1.08s/it]

train:   5%|▌         | 180/3515 [03:27<1:00:17,  1.08s/it]
overall:  92%|█████████▏| 3696/4000 [1:17:39<05:48,  1.15s/it]

train:   5%|▌         | 181/3515 [03:28<1:03:39,  1.15s/it]
overall:  92%|█████████▏| 3697/4000 [1:17:40<05:01,  1.00it/s]

train:   5%|▌         | 182/3515 [03:29<55:17,  1.00it/s]  
overall:  92%|█████████▏| 3698/4000 [1:17:41<05:12,  1.03s/it]

train:   5%|▌         | 183/3515 [03:30<57:25,  1.03s/it]
overall:  92%|█████████▏| 3699/4000 [1:17:42<05:27,  1.09s/it]

train:   5%|▌         | 184/3515 [03:31<1:00:28,  1.09s/it]
overall:  92%|█████████▎| 3700/4000 [1:17:44<05:41,  1.14s/it]

train:   5%|▌         | 185/3515 [03:33<1:03:10,  1.14s/it]
overall:  93%|█████████▎| 3701/4000 [1:17:44<04:31,  1.10it/s]

train:   5%|▌         | 186/3515 [03:33<50:26,  1.10it/s]  
overall:  93%|█████████▎| 3702/4000 [1:17:45<04:55,  1.01it/s]

train:   5%|▌         | 187/3515 [03:34<55:00,  1.01it/s]
overall:  93%|█████████▎| 3703/4000 [1:17:46<05:11,  1.05s/it]

train:   5%|▌         | 188/3515 [03:35<58:04,  1.05s/it]
overall:  93%|█████████▎| 3704/4000 [1:17:48<05:11,  1.05s/it]

train:   5%|▌         | 189/3515 [03:36<58:17,  1.05s/it]
overall:  93%|█████████▎| 3705/4000 [1:17:49<05:30,  1.12s/it]

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train:  14%|█▍        | 484/3515 [09:10<54:35,  1.08s/it]train loss: 7.746996879577637
train per: 0.7334150562445919
train loss: 6.97188663482666
train per: 0.7093918951246352
train loss: 5.9377546310424805
train per: 0.6846800124468416
train loss: 5.519560813903809
train per: 0.7093031566408576
train loss: 5.011597633361816
train per: 0.7180400209716882
train loss: 8.781000137329102
train per: 0.8072343712542951
train loss: 9.717842102050781
train per: 0.8648412003502348
train loss: 7.836941719055176
train per: 0.7175065358693306
train loss: 7.629637241363525
train per: 0.7098375568551007
train loss: 7.624325752258301
train per: 0.7436844613918017
train loss: 9.282221794128418
train per: 0.7385079994467242
train loss: 9.944276809692383
train per: 0.7572236815518286
train loss: 8.39413833618164
train per: 0.7222222222222222
train loss: 9.914055824279785
train per: 0.7665071079787362
train loss: 11.999309539794922
train per: 0.7906867820342158
train loss: 15.133872985839844
train per: 0.8284269287656854
train loss: 11.826868057250977
train per: 0.7496009673518742
train loss: 8.706533432006836
train per: 0.7002389094486344
train loss: 10.371737480163574
train per: 0.7478128151317762
train loss: 9.188005447387695
train per: 0.7585285812409371
train loss: 7.7954864501953125
train per: 0.7308433192404873
train loss: 6.646380424499512
train per: 0.7137607186606778
train loss: 7.673466682434082
train per: 0.7517793132110759
train loss: 8.572112083435059
train per: 0.7380709650147947
train loss: 9.96717643737793
train per: 0.7195586393989983
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 588/2703 [00:00<00:00, 5876.85it/s]


word -> phonemes:  44%|████▍     | 1192/2703 [00:00<00:00, 5970.84it/s]


word -> phonemes:  66%|██████▌   | 1790/2703 [00:00<00:00, 5608.28it/s]


word -> phonemes:  87%|████████▋ | 2354/2703 [00:00<00:00, 5605.28it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5518.86it/s]



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dev: 100%|██████████| 2703/2703 [02:54<00:00, 15.47it/s]

                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:19<00:01,  1.08s/it]

train:  14%|█▍        | 484/3515 [12:08<54:35,  1.08s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:19<00:01,  1.08s/it]

train:  14%|█▍        | 484/3515 [12:08<54:35,  1.08s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:19<00:01,  1.08s/it]

train:  14%|█▍        | 484/3515 [12:08<54:35,  1.08s/it]
overall: 100%|██████████| 4000/4000 [1:26:19<00:00, 54.08s/it]

train:  14%|█▍        | 485/3515 [12:08<45:31:07, 54.08s/it]/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [12:08<1:15:52,  1.50s/it] 

overall: 100%|██████████| 4000/4000 [1:26:19<00:00,  1.29s/it]
dev loss: 11.59514045715332
dev per: 0.7314151925078044
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
2. result/downstream/grid/states-4000.ckpt