/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")
2023-10-11 21:18:18 | 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')
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.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1']
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
mert_330M_encode_norm2 {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_330M_encode_norm2

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:  14%|█▎        | 482/3515 [00:00<00:00, 4819.22it/s]

word -> phonemes:  28%|██▊       | 993/3515 [00:00<00:00, 4984.23it/s]

word -> phonemes:  43%|████▎     | 1519/3515 [00:00<00:00, 5107.08it/s]

word -> phonemes:  58%|█████▊    | 2030/3515 [00:00<00:00, 4980.85it/s]

word -> phonemes:  72%|███████▏  | 2529/3515 [00:00<00:00, 4714.83it/s]

word -> phonemes:  86%|████████▌ | 3014/3515 [00:00<00:00, 4755.96it/s]

word -> phonemes:  99%|█████████▉| 3492/3515 [00:00<00:00, 4745.85it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4821.69it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:35:20,  4.13s/it]

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overall:   0%|          | 2/4000 [00:05<2:38:00,  2.37s/it]

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overall:   0%|          | 3/4000 [00:06<2:02:18,  1.84s/it]

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overall:   0%|          | 4/4000 [00:07<1:45:48,  1.59s/it]

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overall:   0%|          | 5/4000 [00:08<1:36:49,  1.45s/it]

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overall:   0%|          | 6/4000 [00:09<1:28:50,  1.33s/it]

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overall:   0%|          | 7/4000 [00:11<1:27:54,  1.32s/it]

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overall:   0%|          | 8/4000 [00:12<1:25:15,  1.28s/it]

train:   0%|          | 8/3515 [00:10<1:12:04,  1.23s/it]
overall:   0%|          | 9/4000 [00:13<1:25:21,  1.28s/it]

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overall:   0%|          | 10/4000 [00:14<1:07:41,  1.02s/it]

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overall:   0%|          | 11/4000 [00:14<52:37,  1.26it/s]  

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overall:   0%|          | 12/4000 [00:15<1:00:46,  1.09it/s]

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overall:   0%|          | 14/4000 [00:17<1:08:28,  1.03s/it]

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overall:   0%|          | 15/4000 [00:18<1:08:48,  1.04s/it]

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overall:   0%|          | 16/4000 [00:20<1:12:10,  1.09s/it]

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overall:   0%|          | 17/4000 [00:21<1:13:01,  1.10s/it]

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overall:   0%|          | 18/4000 [00:22<1:17:05,  1.16s/it]

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overall:   0%|          | 19/4000 [00:23<1:02:25,  1.06it/s]

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overall:   0%|          | 20/4000 [00:24<1:07:40,  1.02s/it]

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overall:   1%|          | 21/4000 [00:25<1:12:21,  1.09s/it]

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overall:   1%|          | 22/4000 [00:26<1:15:47,  1.14s/it]

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overall:   1%|          | 23/4000 [00:28<1:17:42,  1.17s/it]

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overall:   1%|          | 24/4000 [00:29<1:16:08,  1.15s/it]

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overall:   1%|          | 25/4000 [00:30<1:15:40,  1.14s/it]

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overall:   1%|          | 26/4000 [00:31<1:16:41,  1.16s/it]

train:   1%|          | 26/3515 [00:29<1:07:20,  1.16s/it]
overall:   1%|          | 27/4000 [00:32<1:19:07,  1.20s/it]

train:   1%|          | 27/3515 [00:30<1:09:28,  1.20s/it]
overall:   1%|          | 28/4000 [00:33<1:18:21,  1.18s/it]

train:   1%|          | 28/3515 [00:32<1:08:46,  1.18s/it]
overall:   1%|          | 29/4000 [00:35<1:17:55,  1.18s/it]

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overall:   1%|          | 30/4000 [00:36<1:19:28,  1.20s/it]

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overall:   1%|          | 31/4000 [00:37<1:20:19,  1.21s/it]

train:   1%|          | 31/3515 [00:35<1:10:30,  1.21s/it]
overall:   1%|          | 32/4000 [00:38<1:20:24,  1.22s/it]

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overall:   1%|          | 33/4000 [00:40<1:21:35,  1.23s/it]

train:   1%|          | 33/3515 [00:38<1:11:36,  1.23s/it]
overall:   1%|          | 34/4000 [00:40<1:02:32,  1.06it/s]

train:   1%|          | 34/3515 [00:38<54:53,  1.06it/s]  
overall:   1%|          | 35/4000 [00:41<1:08:37,  1.04s/it]

train:   1%|          | 35/3515 [00:39<1:00:13,  1.04s/it]
overall:   1%|          | 36/4000 [00:42<1:12:43,  1.10s/it]

train:   1%|          | 36/3515 [00:40<1:03:49,  1.10s/it]
overall:   1%|          | 37/4000 [00:43<1:13:08,  1.11s/it]

train:   1%|          | 37/3515 [00:42<1:04:11,  1.11s/it]
overall:   1%|          | 38/4000 [00:45<1:14:14,  1.12s/it]

train:   1%|          | 38/3515 [00:43<1:05:09,  1.12s/it]
overall:   1%|          | 39/4000 [00:46<1:13:22,  1.11s/it]

train:   1%|          | 39/3515 [00:44<1:04:23,  1.11s/it]
overall:   1%|          | 40/4000 [00:46<1:06:00,  1.00s/it]

train:   1%|          | 40/3515 [00:45<57:55,  1.00s/it]  
overall:   1%|          | 41/4000 [00:48<1:09:08,  1.05s/it]

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overall:   1%|          | 42/4000 [00:49<1:13:19,  1.11s/it]

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overall:   1%|          | 43/4000 [00:50<1:13:54,  1.12s/it]

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overall:   1%|          | 44/4000 [00:51<1:14:11,  1.13s/it]

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overall:   1%|          | 45/4000 [00:52<1:04:03,  1.03it/s]

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overall:   1%|          | 46/4000 [00:52<53:20,  1.24it/s]  

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overall:   1%|          | 47/4000 [00:53<1:00:41,  1.09it/s]

train:   1%|▏         | 47/3515 [00:51<53:14,  1.09it/s]
overall:   1%|          | 48/4000 [00:54<1:01:59,  1.06it/s]

train:   1%|▏         | 48/3515 [00:52<54:22,  1.06it/s]
overall:   1%|          | 49/4000 [00:56<1:07:33,  1.03s/it]

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overall:   1%|▏         | 50/4000 [00:57<1:09:26,  1.05s/it]

train:   1%|▏         | 50/3515 [00:55<1:00:54,  1.05s/it]
overall:   1%|▏         | 51/4000 [00:58<1:11:24,  1.09s/it]

train:   1%|▏         | 51/3515 [00:56<1:02:38,  1.09s/it]
overall:   1%|▏         | 52/4000 [00:59<1:14:42,  1.14s/it]

train:   1%|▏         | 52/3515 [00:57<1:05:32,  1.14s/it]
overall:   1%|▏         | 53/4000 [01:00<1:15:46,  1.15s/it]

train:   2%|▏         | 53/3515 [00:58<1:06:27,  1.15s/it]
overall:   1%|▏         | 54/4000 [01:01<1:15:05,  1.14s/it]

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overall:   1%|▏         | 55/4000 [01:03<1:16:54,  1.17s/it]

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overall:   1%|▏         | 56/4000 [01:04<1:17:39,  1.18s/it]

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overall:   1%|▏         | 57/4000 [01:05<1:20:58,  1.23s/it]

train:   2%|▏         | 57/3515 [01:03<1:11:00,  1.23s/it]
overall:   1%|▏         | 58/4000 [01:06<1:22:04,  1.25s/it]

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overall:   1%|▏         | 59/4000 [01:08<1:21:08,  1.24s/it]

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overall:   2%|▏         | 60/4000 [01:09<1:19:56,  1.22s/it]

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overall:   2%|▏         | 61/4000 [01:10<1:17:49,  1.19s/it]

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overall:   2%|▏         | 62/4000 [01:11<1:12:37,  1.11s/it]

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overall:   2%|▏         | 63/4000 [01:12<1:13:32,  1.12s/it]

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overall:   2%|▏         | 64/4000 [01:13<1:10:26,  1.07s/it]

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overall:   2%|▏         | 65/4000 [01:14<1:14:18,  1.13s/it]

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train:   2%|▏         | 67/3515 [01:15<1:07:30,  1.17s/it]
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overall:   2%|▏         | 70/4000 [01:20<1:06:38,  1.02s/it]

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overall:   2%|▏         | 74/4000 [01:24<1:13:27,  1.12s/it]

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overall:  10%|█         | 404/4000 [07:46<1:09:11,  1.15s/it]

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overall:  10%|█         | 407/4000 [07:49<1:07:41,  1.13s/it]

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overall:  11%|█         | 427/4000 [08:12<1:03:06,  1.06s/it]

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overall:  11%|█         | 428/4000 [08:13<1:06:22,  1.11s/it]

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overall:  11%|█         | 431/4000 [08:16<52:20,  1.14it/s]  

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overall:  11%|█▏        | 458/4000 [08:46<1:09:08,  1.17s/it]

train:  13%|█▎        | 458/3515 [08:44<59:40,  1.17s/it]  
overall:  11%|█▏        | 459/4000 [08:47<1:10:35,  1.20s/it]

train:  13%|█▎        | 459/3515 [08:46<1:00:55,  1.20s/it]
overall:  12%|█▏        | 460/4000 [08:49<1:10:29,  1.19s/it]

train:  13%|█▎        | 460/3515 [08:47<1:00:49,  1.19s/it]
overall:  12%|█▏        | 461/4000 [08:50<1:10:56,  1.20s/it]

train:  13%|█▎        | 461/3515 [08:48<1:01:13,  1.20s/it]
overall:  12%|█▏        | 462/4000 [08:51<1:10:30,  1.20s/it]

train:  13%|█▎        | 462/3515 [08:49<1:00:50,  1.20s/it]
overall:  12%|█▏        | 463/4000 [08:52<1:11:36,  1.21s/it]

train:  13%|█▎        | 463/3515 [08:50<1:01:47,  1.21s/it]
overall:  12%|█▏        | 464/4000 [08:53<1:09:29,  1.18s/it]

train:  13%|█▎        | 464/3515 [08:52<59:57,  1.18s/it]  
overall:  12%|█▏        | 465/4000 [08:55<1:07:36,  1.15s/it]

train:  13%|█▎        | 465/3515 [08:53<58:19,  1.15s/it]
overall:  12%|█▏        | 466/4000 [08:56<1:08:41,  1.17s/it]

train:  13%|█▎        | 466/3515 [08:54<59:15,  1.17s/it]
overall:  12%|█▏        | 467/4000 [08:57<1:11:02,  1.21s/it]

train:  13%|█▎        | 467/3515 [08:55<1:01:17,  1.21s/it]
overall:  12%|█▏        | 468/4000 [08:58<59:31,  1.01s/it]  

train:  13%|█▎        | 468/3515 [08:56<51:20,  1.01s/it]  
overall:  12%|█▏        | 469/4000 [08:59<1:02:58,  1.07s/it]

train:  13%|█▎        | 469/3515 [08:57<54:19,  1.07s/it]
overall:  12%|█▏        | 470/4000 [09:00<1:04:24,  1.09s/it]

train:  13%|█▎        | 470/3515 [08:58<55:33,  1.09s/it]
overall:  12%|█▏        | 471/4000 [09:01<1:06:49,  1.14s/it]

train:  13%|█▎        | 471/3515 [08:59<57:38,  1.14s/it]
overall:  12%|█▏        | 472/4000 [09:02<1:08:24,  1.16s/it]

train:  13%|█▎        | 472/3515 [09:01<59:00,  1.16s/it]
overall:  12%|█▏        | 473/4000 [09:04<1:10:30,  1.20s/it]

train:  13%|█▎        | 473/3515 [09:02<1:00:49,  1.20s/it]
overall:  12%|█▏        | 474/4000 [09:04<56:42,  1.04it/s]  

train:  13%|█▎        | 474/3515 [09:02<48:54,  1.04it/s]  
overall:  12%|█▏        | 475/4000 [09:05<53:44,  1.09it/s]

train:  14%|█▎        | 475/3515 [09:03<46:20,  1.09it/s]
overall:  12%|█▏        | 476/4000 [09:06<59:45,  1.02s/it]

train:  14%|█▎        | 476/3515 [09:04<51:31,  1.02s/it]
overall:  12%|█▏        | 477/4000 [09:08<1:08:13,  1.16s/it]

train:  14%|█▎        | 477/3515 [09:06<58:49,  1.16s/it]
overall:  12%|█▏        | 478/4000 [09:09<1:09:37,  1.19s/it]

train:  14%|█▎        | 478/3515 [09:07<1:00:02,  1.19s/it]
overall:  12%|█▏        | 479/4000 [09:10<1:09:38,  1.19s/it]

train:  14%|█▎        | 479/3515 [09:08<1:00:03,  1.19s/it]
overall:  12%|█▏        | 480/4000 [09:11<1:06:00,  1.13s/it]

train:  14%|█▎        | 480/3515 [09:09<56:54,  1.13s/it]  
overall:  12%|█▏        | 481/4000 [09:12<1:05:36,  1.12s/it]

train:  14%|█▎        | 481/3515 [09:10<56:34,  1.12s/it]
overall:  12%|█▏        | 482/4000 [09:13<1:07:57,  1.16s/it]

train:  14%|█▎        | 482/3515 [09:12<58:35,  1.16s/it]
overall:  12%|█▏        | 483/4000 [09:15<1:09:00,  1.18s/it]

train:  14%|█▎        | 483/3515 [09:13<59:29,  1.18s/it]
overall:  12%|█▏        | 484/4000 [09:16<1:08:52,  1.18s/it]

train:  14%|█▍        | 484/3515 [09:14<59:22,  1.18s/it]
overall:  12%|█▏        | 485/4000 [09:17<1:05:29,  1.12s/it]

train:  14%|█▍        | 485/3515 [09:15<56:26,  1.12s/it]
overall:  12%|█▏        | 486/4000 [09:18<1:08:41,  1.17s/it]

train:  14%|█▍        | 486/3515 [09:16<59:12,  1.17s/it]
overall:  12%|█▏        | 487/4000 [09:19<1:11:08,  1.21s/it]

train:  14%|█▍        | 487/3515 [09:18<1:01:18,  1.21s/it]
overall:  12%|█▏        | 488/4000 [09:20<56:28,  1.04it/s]  

train:  14%|█▍        | 488/3515 [09:18<48:40,  1.04it/s]  
overall:  12%|█▏        | 489/4000 [09:21<55:41,  1.05it/s]

train:  14%|█▍        | 489/3515 [09:19<47:59,  1.05it/s]
overall:  12%|█▏        | 490/4000 [09:22<1:00:54,  1.04s/it]

train:  14%|█▍        | 490/3515 [09:20<52:29,  1.04s/it]
overall:  12%|█▏        | 491/4000 [09:23<1:02:50,  1.07s/it]

train:  14%|█▍        | 491/3515 [09:21<54:09,  1.07s/it]
overall:  12%|█▏        | 492/4000 [09:24<53:41,  1.09it/s]  

train:  14%|█▍        | 492/3515 [09:22<46:16,  1.09it/s]
overall:  12%|█▏        | 493/4000 [09:25<58:33,  1.00s/it]

train:  14%|█▍        | 493/3515 [09:23<50:27,  1.00s/it]
overall:  12%|█▏        | 494/4000 [09:26<1:01:40,  1.06s/it]

train:  14%|█▍        | 494/3515 [09:24<53:08,  1.06s/it]
overall:  12%|█▏        | 495/4000 [09:27<1:03:58,  1.10s/it]

train:  14%|█▍        | 495/3515 [09:25<55:07,  1.10s/it]
overall:  12%|█▏        | 496/4000 [09:28<1:04:59,  1.11s/it]

train:  14%|█▍        | 496/3515 [09:27<55:59,  1.11s/it]
overall:  12%|█▏        | 497/4000 [09:30<1:06:56,  1.15s/it]

train:  14%|█▍        | 497/3515 [09:28<57:40,  1.15s/it]
overall:  12%|█▏        | 498/4000 [09:31<1:07:17,  1.15s/it]

train:  14%|█▍        | 498/3515 [09:29<57:58,  1.15s/it]
overall:  12%|█▏        | 499/4000 [09:32<1:04:54,  1.11s/it]

train:  14%|█▍        | 499/3515 [09:30<55:55,  1.11s/it]
overall:  12%|█▎        | 500/4000 [09:32<55:53,  1.04it/s]  

train:  14%|█▍        | 500/3515 [09:31<48:08,  1.04it/s]
overall:  13%|█▎        | 501/4000 [09:34<1:04:43,  1.11s/it]

train:  14%|█▍        | 501/3515 [09:32<55:45,  1.11s/it]
overall:  13%|█▎        | 502/4000 [09:35<1:06:56,  1.15s/it]

train:  14%|█▍        | 502/3515 [09:33<57:39,  1.15s/it]
overall:  13%|█▎        | 503/4000 [09:36<1:08:49,  1.18s/it]

train:  14%|█▍        | 503/3515 [09:34<59:16,  1.18s/it]
overall:  13%|█▎        | 504/4000 [09:38<1:09:44,  1.20s/it]

train:  14%|█▍        | 504/3515 [09:36<1:00:04,  1.20s/it]
overall:  13%|█▎        | 505/4000 [09:39<1:11:40,  1.23s/it]

train:  14%|█▍        | 505/3515 [09:37<1:01:43,  1.23s/it]
overall:  13%|█▎        | 506/4000 [09:40<1:07:54,  1.17s/it]

train:  14%|█▍        | 506/3515 [09:38<58:28,  1.17s/it]  
overall:  13%|█▎        | 507/4000 [09:41<1:10:26,  1.21s/it]

train:  14%|█▍        | 507/3515 [09:39<1:00:39,  1.21s/it]
overall:  13%|█▎        | 508/4000 [09:42<1:10:57,  1.22s/it]

train:  14%|█▍        | 508/3515 [09:41<1:01:05,  1.22s/it]
overall:  13%|█▎        | 509/4000 [09:44<1:12:06,  1.24s/it]

train:  14%|█▍        | 509/3515 [09:42<1:02:05,  1.24s/it]
overall:  13%|█▎        | 510/4000 [09:45<1:12:03,  1.24s/it]

train:  15%|█▍        | 510/3515 [09:43<1:02:02,  1.24s/it]
overall:  13%|█▎        | 511/4000 [09:46<1:10:44,  1.22s/it]

train:  15%|█▍        | 511/3515 [09:44<1:00:54,  1.22s/it]
overall:  13%|█▎        | 512/4000 [09:47<1:09:41,  1.20s/it]

train:  15%|█▍        | 512/3515 [09:45<1:00:00,  1.20s/it]
overall:  13%|█▎        | 513/4000 [09:49<1:09:47,  1.20s/it]

train:  15%|█▍        | 513/3515 [09:47<1:00:04,  1.20s/it]
overall:  13%|█▎        | 514/4000 [09:50<1:08:30,  1.18s/it]

train:  15%|█▍        | 514/3515 [09:48<58:58,  1.18s/it]  
overall:  13%|█▎        | 515/4000 [09:51<1:07:02,  1.15s/it]

train:  15%|█▍        | 515/3515 [09:49<57:42,  1.15s/it]
overall:  13%|█▎        | 516/4000 [09:52<1:09:34,  1.20s/it]

train:  15%|█▍        | 516/3515 [09:50<59:53,  1.20s/it]
overall:  13%|█▎        | 517/4000 [09:53<1:09:03,  1.19s/it]

train:  15%|█▍        | 517/3515 [09:51<59:26,  1.19s/it]
overall:  13%|█▎        | 518/4000 [09:54<58:08,  1.00s/it]  

train:  15%|█▍        | 518/3515 [09:52<50:02,  1.00s/it]
overall:  13%|█▎        | 519/4000 [09:55<1:03:30,  1.09s/it]

train:  15%|█▍        | 519/3515 [09:53<54:39,  1.09s/it]
overall:  13%|█▎        | 520/4000 [09:56<1:05:08,  1.12s/it]

train:  15%|█▍        | 520/3515 [09:54<56:04,  1.12s/it]
overall:  13%|█▎        | 521/4000 [09:58<1:07:39,  1.17s/it]

train:  15%|█▍        | 521/3515 [09:56<58:13,  1.17s/it]
overall:  13%|█▎        | 522/4000 [09:59<1:09:01,  1.19s/it]

train:  15%|█▍        | 522/3515 [09:57<59:24,  1.19s/it]
overall:  13%|█▎        | 523/4000 [10:00<1:10:08,  1.21s/it]

train:  15%|█▍        | 523/3515 [09:58<1:00:21,  1.21s/it]
overall:  13%|█▎        | 524/4000 [10:01<1:10:45,  1.22s/it]

train:  15%|█▍        | 524/3515 [09:59<1:00:52,  1.22s/it]
overall:  13%|█▎        | 525/4000 [10:03<1:15:54,  1.31s/it]

train:  15%|█▍        | 525/3515 [10:01<1:05:19,  1.31s/it]
overall:  13%|█▎        | 526/4000 [10:04<1:15:21,  1.30s/it]

train:  15%|█▍        | 526/3515 [10:02<1:04:50,  1.30s/it]
overall:  13%|█▎        | 527/4000 [10:05<1:13:50,  1.28s/it]

train:  15%|█▍        | 527/3515 [10:03<1:03:32,  1.28s/it]
overall:  13%|█▎        | 528/4000 [10:06<55:43,  1.04it/s]  

train:  15%|█▌        | 528/3515 [10:04<47:56,  1.04it/s]  
overall:  13%|█▎        | 529/4000 [10:07<1:00:21,  1.04s/it]

train:  15%|█▌        | 529/3515 [10:05<51:55,  1.04s/it]
overall:  13%|█▎        | 530/4000 [10:08<1:04:03,  1.11s/it]

train:  15%|█▌        | 530/3515 [10:06<55:06,  1.11s/it]
overall:  13%|█▎        | 531/4000 [10:09<57:00,  1.01it/s]  

train:  15%|█▌        | 531/3515 [10:07<49:01,  1.01it/s]
overall:  13%|█▎        | 532/4000 [10:10<1:01:06,  1.06s/it]

train:  15%|█▌        | 532/3515 [10:08<52:33,  1.06s/it]
overall:  13%|█▎        | 533/4000 [10:11<1:03:19,  1.10s/it]

train:  15%|█▌        | 533/3515 [10:09<54:28,  1.10s/it]
overall:  13%|█▎        | 534/4000 [10:12<55:55,  1.03it/s]  

train:  15%|█▌        | 534/3515 [10:10<48:05,  1.03it/s]
overall:  13%|█▎        | 535/4000 [10:13<1:00:20,  1.04s/it]

train:  15%|█▌        | 535/3515 [10:11<51:54,  1.04s/it]
overall:  13%|█▎        | 536/4000 [10:14<1:02:41,  1.09s/it]

train:  15%|█▌        | 536/3515 [10:12<53:55,  1.09s/it]
overall:  13%|█▎        | 537/4000 [10:16<1:06:28,  1.15s/it]

train:  15%|█▌        | 537/3515 [10:14<57:09,  1.15s/it]
overall:  13%|█▎        | 538/4000 [10:17<1:08:55,  1.19s/it]

train:  15%|█▌        | 538/3515 [10:15<59:16,  1.19s/it]
overall:  13%|█▎        | 539/4000 [10:18<1:01:31,  1.07s/it]

train:  15%|█▌        | 539/3515 [10:16<52:54,  1.07s/it]
overall:  14%|█▎        | 540/4000 [10:18<52:48,  1.09it/s]  

train:  15%|█▌        | 540/3515 [10:16<45:24,  1.09it/s]
overall:  14%|█▎        | 541/4000 [10:19<59:26,  1.03s/it]

train:  15%|█▌        | 541/3515 [10:18<51:06,  1.03s/it]
overall:  14%|█▎        | 542/4000 [10:21<1:02:34,  1.09s/it]

train:  15%|█▌        | 542/3515 [10:19<53:47,  1.09s/it]
overall:  14%|█▎        | 543/4000 [10:22<1:05:14,  1.13s/it]

train:  15%|█▌        | 543/3515 [10:20<56:05,  1.13s/it]
overall:  14%|█▎        | 544/4000 [10:23<1:05:34,  1.14s/it]

train:  15%|█▌        | 544/3515 [10:21<56:22,  1.14s/it]
overall:  14%|█▎        | 545/4000 [10:24<1:07:18,  1.17s/it]

train:  16%|█▌        | 545/3515 [10:22<57:51,  1.17s/it]
overall:  14%|█▎        | 546/4000 [10:25<1:07:06,  1.17s/it]

train:  16%|█▌        | 546/3515 [10:24<57:41,  1.17s/it]
overall:  14%|█▎        | 547/4000 [10:27<1:08:34,  1.19s/it]

train:  16%|█▌        | 547/3515 [10:25<58:56,  1.19s/it]
overall:  14%|█▎        | 548/4000 [10:28<1:08:06,  1.18s/it]

train:  16%|█▌        | 548/3515 [10:26<58:32,  1.18s/it]
overall:  14%|█▎        | 549/4000 [10:29<1:13:48,  1.28s/it]

train:  16%|█▌        | 549/3515 [10:28<1:03:26,  1.28s/it]
overall:  14%|█▍        | 550/4000 [10:31<1:13:22,  1.28s/it]

train:  16%|█▌        | 550/3515 [10:29<1:03:03,  1.28s/it]
overall:  14%|█▍        | 551/4000 [10:32<1:11:56,  1.25s/it]

train:  16%|█▌        | 551/3515 [10:30<1:01:49,  1.25s/it]
overall:  14%|█▍        | 552/4000 [10:33<1:03:42,  1.11s/it]

train:  16%|█▌        | 552/3515 [10:31<54:44,  1.11s/it]  
overall:  14%|█▍        | 553/4000 [10:34<1:03:49,  1.11s/it]

train:  16%|█▌        | 553/3515 [10:32<54:50,  1.11s/it]
overall:  14%|█▍        | 554/4000 [10:35<1:06:20,  1.16s/it]

train:  16%|█▌        | 554/3515 [10:33<57:00,  1.16s/it]
overall:  14%|█▍        | 555/4000 [10:35<54:52,  1.05it/s]  

train:  16%|█▌        | 555/3515 [10:34<47:09,  1.05it/s]
overall:  14%|█▍        | 556/4000 [10:37<59:35,  1.04s/it]

train:  16%|█▌        | 556/3515 [10:35<51:12,  1.04s/it]
overall:  14%|█▍        | 557/4000 [10:38<1:03:13,  1.10s/it]

train:  16%|█▌        | 557/3515 [10:36<54:19,  1.10s/it]
overall:  14%|█▍        | 558/4000 [10:39<1:05:28,  1.14s/it]

train:  16%|█▌        | 558/3515 [10:37<56:14,  1.14s/it]
overall:  14%|█▍        | 559/4000 [10:40<1:07:15,  1.17s/it]

train:  16%|█▌        | 559/3515 [10:39<57:46,  1.17s/it]
overall:  14%|█▍        | 560/4000 [10:41<1:04:28,  1.12s/it]

train:  16%|█▌        | 560/3515 [10:40<55:22,  1.12s/it]
overall:  14%|█▍        | 561/4000 [10:43<1:05:08,  1.14s/it]

train:  16%|█▌        | 561/3515 [10:41<55:57,  1.14s/it]
overall:  14%|█▍        | 562/4000 [10:44<1:01:04,  1.07s/it]

train:  16%|█▌        | 562/3515 [10:42<52:27,  1.07s/it]
overall:  14%|█▍        | 563/4000 [10:45<1:03:59,  1.12s/it]

train:  16%|█▌        | 563/3515 [10:43<54:57,  1.12s/it]
overall:  14%|█▍        | 564/4000 [10:46<1:07:17,  1.17s/it]

train:  16%|█▌        | 564/3515 [10:44<57:47,  1.17s/it]
overall:  14%|█▍        | 565/4000 [10:46<54:34,  1.05it/s]  

train:  16%|█▌        | 565/3515 [10:45<46:51,  1.05it/s]
overall:  14%|█▍        | 566/4000 [10:48<59:47,  1.04s/it]

train:  16%|█▌        | 566/3515 [10:46<51:20,  1.04s/it]
overall:  14%|█▍        | 567/4000 [10:49<1:03:01,  1.10s/it]

train:  16%|█▌        | 567/3515 [10:47<54:07,  1.10s/it]
overall:  14%|█▍        | 568/4000 [10:49<49:04,  1.17it/s]  

train:  16%|█▌        | 568/3515 [10:47<42:08,  1.17it/s]
overall:  14%|█▍        | 569/4000 [10:51<55:55,  1.02it/s]

train:  16%|█▌        | 569/3515 [10:49<48:01,  1.02it/s]
overall:  14%|█▍        | 570/4000 [10:52<1:00:15,  1.05s/it]

train:  16%|█▌        | 570/3515 [10:50<51:44,  1.05s/it]
overall:  14%|█▍        | 571/4000 [10:53<1:04:36,  1.13s/it]

train:  16%|█▌        | 571/3515 [10:51<55:28,  1.13s/it]
overall:  14%|█▍        | 572/4000 [10:54<1:06:31,  1.16s/it]

train:  16%|█▋        | 572/3515 [10:52<57:06,  1.16s/it]
overall:  14%|█▍        | 573/4000 [10:56<1:12:45,  1.27s/it]

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overall:  14%|█▍        | 574/4000 [10:57<1:12:05,  1.26s/it]

train:  16%|█▋        | 574/3515 [10:55<1:01:53,  1.26s/it]
overall:  14%|█▍        | 575/4000 [10:58<1:12:37,  1.27s/it]

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overall:  14%|█▍        | 576/4000 [11:00<1:12:04,  1.26s/it]

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overall:  14%|█▍        | 577/4000 [11:01<1:09:31,  1.22s/it]

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overall:  14%|█▍        | 578/4000 [11:02<1:10:00,  1.23s/it]

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overall:  14%|█▍        | 579/4000 [11:03<1:01:44,  1.08s/it]

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overall:  14%|█▍        | 580/4000 [11:04<1:03:39,  1.12s/it]

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overall:  15%|█▍        | 581/4000 [11:05<1:03:08,  1.11s/it]

train:  17%|█▋        | 581/3515 [11:03<54:10,  1.11s/it]
overall:  15%|█▍        | 582/4000 [11:06<1:03:52,  1.12s/it]

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overall:  15%|█▍        | 583/4000 [11:07<1:07:01,  1.18s/it]

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overall:  15%|█▍        | 584/4000 [11:09<1:05:01,  1.14s/it]

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overall:  15%|█▍        | 585/4000 [11:10<1:06:39,  1.17s/it]

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overall:  15%|█▍        | 586/4000 [11:11<1:08:34,  1.21s/it]

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overall:  15%|█▍        | 587/4000 [11:12<1:10:07,  1.23s/it]

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overall:  15%|█▍        | 588/4000 [11:14<1:10:08,  1.23s/it]

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overall:  15%|█▍        | 589/4000 [11:15<1:08:23,  1.20s/it]

train:  17%|█▋        | 589/3515 [11:13<58:40,  1.20s/it]  
overall:  15%|█▍        | 590/4000 [11:15<58:56,  1.04s/it]  

train:  17%|█▋        | 590/3515 [11:14<50:33,  1.04s/it]
overall:  15%|█▍        | 591/4000 [11:17<1:03:27,  1.12s/it]

train:  17%|█▋        | 591/3515 [11:15<54:25,  1.12s/it]
overall:  15%|█▍        | 592/4000 [11:18<1:05:41,  1.16s/it]

train:  17%|█▋        | 592/3515 [11:16<56:20,  1.16s/it]
overall:  15%|█▍        | 593/4000 [11:19<1:05:10,  1.15s/it]

train:  17%|█▋        | 593/3515 [11:17<55:53,  1.15s/it]
overall:  15%|█▍        | 594/4000 [11:20<1:05:40,  1.16s/it]

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overall:  15%|█▍        | 595/4000 [11:21<1:06:44,  1.18s/it]

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overall:  15%|█▍        | 596/4000 [11:23<1:07:44,  1.19s/it]

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overall:  15%|█▍        | 597/4000 [11:24<1:02:11,  1.10s/it]

train:  17%|█▋        | 597/3515 [11:22<53:19,  1.10s/it]
overall:  15%|█▍        | 598/4000 [11:25<1:05:00,  1.15s/it]

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overall:  15%|█▍        | 599/4000 [11:26<1:04:55,  1.15s/it]

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overall:  15%|█▌        | 600/4000 [11:27<1:01:30,  1.09s/it]

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overall:  15%|█▌        | 601/4000 [11:28<57:38,  1.02s/it]  

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overall:  15%|█▌        | 602/4000 [11:29<1:00:44,  1.07s/it]

train:  17%|█▋        | 602/3515 [11:27<52:04,  1.07s/it]
overall:  15%|█▌        | 603/4000 [11:30<1:05:32,  1.16s/it]

train:  17%|█▋        | 603/3515 [11:28<56:10,  1.16s/it]
overall:  15%|█▌        | 604/4000 [11:31<1:05:47,  1.16s/it]

train:  17%|█▋        | 604/3515 [11:30<56:23,  1.16s/it]
overall:  15%|█▌        | 605/4000 [11:33<1:08:12,  1.21s/it]

train:  17%|█▋        | 605/3515 [11:31<58:27,  1.21s/it]
overall:  15%|█▌        | 606/4000 [11:34<1:06:10,  1.17s/it]

train:  17%|█▋        | 606/3515 [11:32<56:42,  1.17s/it]
overall:  15%|█▌        | 607/4000 [11:35<1:00:54,  1.08s/it]

train:  17%|█▋        | 607/3515 [11:33<52:12,  1.08s/it]
overall:  15%|█▌        | 608/4000 [11:36<1:03:33,  1.12s/it]

train:  17%|█▋        | 608/3515 [11:34<54:28,  1.12s/it]
overall:  15%|█▌        | 609/4000 [11:37<1:04:08,  1.13s/it]

train:  17%|█▋        | 609/3515 [11:35<54:58,  1.13s/it]
overall:  15%|█▌        | 610/4000 [11:38<1:06:00,  1.17s/it]

train:  17%|█▋        | 610/3515 [11:37<56:33,  1.17s/it]
overall:  15%|█▌        | 611/4000 [11:39<54:04,  1.04it/s]  

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overall:  15%|█▌        | 612/4000 [11:39<48:28,  1.17it/s]

train:  17%|█▋        | 612/3515 [11:38<41:31,  1.17it/s]
overall:  15%|█▌        | 613/4000 [11:41<54:44,  1.03it/s]

train:  17%|█▋        | 613/3515 [11:39<46:54,  1.03it/s]
overall:  15%|█▌        | 614/4000 [11:42<1:00:23,  1.07s/it]

train:  17%|█▋        | 614/3515 [11:40<51:44,  1.07s/it]
overall:  15%|█▌        | 615/4000 [11:43<1:03:11,  1.12s/it]

train:  17%|█▋        | 615/3515 [11:41<54:08,  1.12s/it]
overall:  15%|█▌        | 616/4000 [11:44<1:03:48,  1.13s/it]

train:  18%|█▊        | 616/3515 [11:43<54:39,  1.13s/it]
overall:  15%|█▌        | 617/4000 [11:46<1:06:39,  1.18s/it]

train:  18%|█▊        | 617/3515 [11:44<57:06,  1.18s/it]
overall:  15%|█▌        | 618/4000 [11:47<1:07:27,  1.20s/it]

train:  18%|█▊        | 618/3515 [11:45<57:46,  1.20s/it]
overall:  15%|█▌        | 619/4000 [11:48<1:07:19,  1.19s/it]

train:  18%|█▊        | 619/3515 [11:46<57:40,  1.19s/it]
overall:  16%|█▌        | 620/4000 [11:49<1:08:05,  1.21s/it]

train:  18%|█▊        | 620/3515 [11:48<58:19,  1.21s/it]
overall:  16%|█▌        | 621/4000 [11:51<1:12:39,  1.29s/it]

train:  18%|█▊        | 621/3515 [11:49<1:02:13,  1.29s/it]
overall:  16%|█▌        | 622/4000 [11:52<1:11:21,  1.27s/it]

train:  18%|█▊        | 622/3515 [11:50<1:01:06,  1.27s/it]
overall:  16%|█▌        | 623/4000 [11:53<1:11:09,  1.26s/it]

train:  18%|█▊        | 623/3515 [11:51<1:00:56,  1.26s/it]
overall:  16%|█▌        | 624/4000 [11:55<1:10:46,  1.26s/it]

train:  18%|█▊        | 624/3515 [11:53<1:00:36,  1.26s/it]
overall:  16%|█▌        | 625/4000 [11:56<1:08:59,  1.23s/it]

train:  18%|█▊        | 625/3515 [11:54<59:04,  1.23s/it]  
overall:  16%|█▌        | 626/4000 [11:57<1:08:19,  1.22s/it]

train:  18%|█▊        | 626/3515 [11:55<58:30,  1.22s/it]
overall:  16%|█▌        | 627/4000 [11:58<1:10:27,  1.25s/it]

train:  18%|█▊        | 627/3515 [11:56<1:00:19,  1.25s/it]
overall:  16%|█▌        | 628/4000 [11:59<1:10:03,  1.25s/it]

train:  18%|█▊        | 628/3515 [11:58<59:58,  1.25s/it]  
overall:  16%|█▌        | 629/4000 [12:01<1:10:07,  1.25s/it]

train:  18%|█▊        | 629/3515 [11:59<1:00:02,  1.25s/it]
overall:  16%|█▌        | 630/4000 [12:02<1:05:37,  1.17s/it]

train:  18%|█▊        | 630/3515 [12:00<56:10,  1.17s/it]  
overall:  16%|█▌        | 631/4000 [12:03<1:05:23,  1.16s/it]

train:  18%|█▊        | 631/3515 [12:01<55:58,  1.16s/it]
overall:  16%|█▌        | 632/4000 [12:04<1:05:39,  1.17s/it]

train:  18%|█▊        | 632/3515 [12:02<56:11,  1.17s/it]
overall:  16%|█▌        | 633/4000 [12:05<1:07:40,  1.21s/it]

train:  18%|█▊        | 633/3515 [12:04<57:55,  1.21s/it]
overall:  16%|█▌        | 634/4000 [12:07<1:09:04,  1.23s/it]

train:  18%|█▊        | 634/3515 [12:05<59:07,  1.23s/it]
overall:  16%|█▌        | 635/4000 [12:07<55:19,  1.01it/s]  

train:  18%|█▊        | 635/3515 [12:05<47:21,  1.01it/s]
overall:  16%|█▌        | 636/4000 [12:08<57:14,  1.02s/it]

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overall:  16%|█▌        | 637/4000 [12:09<1:01:06,  1.09s/it]

train:  18%|█▊        | 637/3515 [12:08<52:17,  1.09s/it]
overall:  16%|█▌        | 638/4000 [12:10<49:08,  1.14it/s]  

train:  18%|█▊        | 638/3515 [12:08<42:03,  1.14it/s]
overall:  16%|█▌        | 639/4000 [12:11<56:10,  1.00s/it]

train:  18%|█▊        | 639/3515 [12:09<48:04,  1.00s/it]
overall:  16%|█▌        | 640/4000 [12:12<56:25,  1.01s/it]

train:  18%|█▊        | 640/3515 [12:10<48:16,  1.01s/it]
overall:  16%|█▌        | 641/4000 [12:13<59:45,  1.07s/it]

train:  18%|█▊        | 641/3515 [12:11<51:07,  1.07s/it]
overall:  16%|█▌        | 642/4000 [12:14<1:01:31,  1.10s/it]

train:  18%|█▊        | 642/3515 [12:13<52:38,  1.10s/it]
overall:  16%|█▌        | 643/4000 [12:16<1:04:38,  1.16s/it]

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overall:  16%|█▌        | 644/4000 [12:17<1:05:40,  1.17s/it]

train:  18%|█▊        | 644/3515 [12:15<56:10,  1.17s/it]
overall:  16%|█▌        | 645/4000 [12:18<1:00:13,  1.08s/it]

train:  18%|█▊        | 645/3515 [12:16<51:31,  1.08s/it]
overall:  16%|█▌        | 646/4000 [12:19<1:03:03,  1.13s/it]

train:  18%|█▊        | 646/3515 [12:17<53:56,  1.13s/it]
overall:  16%|█▌        | 647/4000 [12:20<1:02:13,  1.11s/it]

train:  18%|█▊        | 647/3515 [12:18<53:13,  1.11s/it]
overall:  16%|█▌        | 648/4000 [12:21<1:03:48,  1.14s/it]

train:  18%|█▊        | 648/3515 [12:20<54:34,  1.14s/it]
overall:  16%|█▌        | 649/4000 [12:23<1:05:29,  1.17s/it]

train:  18%|█▊        | 649/3515 [12:21<56:00,  1.17s/it]
overall:  16%|█▋        | 650/4000 [12:24<1:03:02,  1.13s/it]

train:  18%|█▊        | 650/3515 [12:22<53:55,  1.13s/it]
overall:  16%|█▋        | 651/4000 [12:25<1:07:26,  1.21s/it]

train:  19%|█▊        | 651/3515 [12:23<57:40,  1.21s/it]
overall:  16%|█▋        | 652/4000 [12:26<1:09:04,  1.24s/it]

train:  19%|█▊        | 652/3515 [12:24<59:04,  1.24s/it]
overall:  16%|█▋        | 653/4000 [12:28<1:09:53,  1.25s/it]

train:  19%|█▊        | 653/3515 [12:26<59:45,  1.25s/it]
overall:  16%|█▋        | 654/4000 [12:29<1:09:52,  1.25s/it]

train:  19%|█▊        | 654/3515 [12:27<59:44,  1.25s/it]
overall:  16%|█▋        | 655/4000 [12:30<1:04:46,  1.16s/it]

train:  19%|█▊        | 655/3515 [12:28<55:22,  1.16s/it]
overall:  16%|█▋        | 656/4000 [12:31<1:06:02,  1.18s/it]

train:  19%|█▊        | 656/3515 [12:29<56:27,  1.18s/it]
overall:  16%|█▋        | 657/4000 [12:32<1:05:38,  1.18s/it]

train:  19%|█▊        | 657/3515 [12:30<56:07,  1.18s/it]
overall:  16%|█▋        | 658/4000 [12:33<1:04:00,  1.15s/it]

train:  19%|█▊        | 658/3515 [12:31<54:43,  1.15s/it]
overall:  16%|█▋        | 659/4000 [12:34<54:37,  1.02it/s]  

train:  19%|█▊        | 659/3515 [12:32<46:42,  1.02it/s]
overall:  16%|█▋        | 660/4000 [12:35<1:00:16,  1.08s/it]

train:  19%|█▉        | 660/3515 [12:33<51:31,  1.08s/it]
overall:  17%|█▋        | 661/4000 [12:37<1:03:38,  1.14s/it]

train:  19%|█▉        | 661/3515 [12:35<54:23,  1.14s/it]
overall:  17%|█▋        | 662/4000 [12:38<1:02:33,  1.12s/it]

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overall:  17%|█▋        | 663/4000 [12:39<1:03:05,  1.13s/it]

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overall:  17%|█▋        | 664/4000 [12:40<1:03:11,  1.14s/it]

train:  19%|█▉        | 664/3515 [12:38<54:00,  1.14s/it]
overall:  17%|█▋        | 665/4000 [12:41<1:05:11,  1.17s/it]

train:  19%|█▉        | 665/3515 [12:39<55:42,  1.17s/it]
overall:  17%|█▋        | 666/4000 [12:42<1:05:51,  1.19s/it]

train:  19%|█▉        | 666/3515 [12:41<56:16,  1.19s/it]
overall:  17%|█▋        | 667/4000 [12:43<1:03:01,  1.13s/it]

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overall:  17%|█▋        | 668/4000 [12:45<1:03:50,  1.15s/it]

train:  19%|█▉        | 668/3515 [12:43<54:32,  1.15s/it]
overall:  17%|█▋        | 669/4000 [12:46<1:05:02,  1.17s/it]

train:  19%|█▉        | 669/3515 [12:44<55:34,  1.17s/it]
overall:  17%|█▋        | 670/4000 [12:46<55:31,  1.00s/it]  

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overall:  17%|█▋        | 671/4000 [12:47<49:57,  1.11it/s]

train:  19%|█▉        | 671/3515 [12:45<42:40,  1.11it/s]
overall:  17%|█▋        | 672/4000 [12:48<54:08,  1.02it/s]

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overall:  17%|█▋        | 673/4000 [12:49<59:24,  1.07s/it]

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overall:  17%|█▋        | 675/4000 [12:51<55:16,  1.00it/s]

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overall:  17%|█▋        | 676/4000 [12:52<59:06,  1.07s/it]

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overall:  17%|█▋        | 677/4000 [12:54<1:02:45,  1.13s/it]

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overall:  17%|█▋        | 678/4000 [12:55<1:04:26,  1.16s/it]

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overall:  17%|█▋        | 679/4000 [12:56<1:07:00,  1.21s/it]

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overall:  17%|█▋        | 680/4000 [12:58<1:08:43,  1.24s/it]

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overall:  17%|█▋        | 681/4000 [12:59<1:08:56,  1.25s/it]

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overall:  17%|█▋        | 682/4000 [13:00<1:08:51,  1.25s/it]

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overall:  17%|█▋        | 685/4000 [13:04<1:07:36,  1.22s/it]

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train:  28%|██▊       | 999/3515 [19:04<50:59,  1.22s/it]train loss: 5.218670845031738
train per: 0.9704174318757135
train loss: 3.926715850830078
train per: 0.8551803091013166
train loss: 3.8249611854553223
train per: 0.8981730525247399
train loss: 3.7325310707092285
train per: 0.9122110728371025
train loss: 3.6495509147644043
train per: 0.9406616765790009
train loss: 3.702234983444214
train per: 0.9196589294173377
train loss: 3.7445080280303955
train per: 0.9223902801884454
train loss: 3.612149715423584
train per: 0.9313749526377961
train loss: 3.479365587234497
train per: 0.9128070583754734
train loss: 3.4244563579559326
train per: 0.8822141560798548
train loss: 3.379159450531006
train per: 0.9025958840037418
train loss: 3.305114269256592
train per: 0.8972252829810679
train loss: 3.2970376014709473
train per: 0.8908419802797997
train loss: 3.257794141769409
train per: 0.8943428009919985
train loss: 3.252429962158203
train per: 0.9053034955415264
train loss: 3.327221632003784
train per: 0.9026878452308587
train loss: 3.2610905170440674
train per: 0.8803786121071504
train loss: 3.222806215286255
train per: 0.9136863389359282
train loss: 3.1959519386291504
train per: 0.8939629865985961
train loss: 3.1874217987060547
train per: 0.9126006918406347
train loss: 3.199862003326416
train per: 0.9035359417201477
train loss: 3.198077440261841
train per: 0.898794270763089
train loss: 3.190504550933838
train per: 0.9137448475904534
train loss: 3.20831298828125
train per: 0.9142153165384422
train loss: 3.1875267028808594
train per: 0.9247926944473601
train loss: 3.169891834259033
train per: 0.9204202447527903
train loss: 3.1758604049682617
train per: 0.9162112932604736
train loss: 3.1607534885406494
train per: 0.9205389994882917
train loss: 3.1637520790100098
train per: 0.9204280352976976
train loss: 3.1546130180358887
train per: 0.8967557538986111
train loss: 3.135215997695923
train per: 0.921866302312636
train loss: 3.1876108646392822
train per: 0.9157222028059314
train loss: 3.149519443511963
train per: 0.9199970323474131
train loss: 3.126720428466797
train per: 0.9238433970460469
train loss: 3.1339550018310547
train per: 0.9270344566093179
train loss: 3.1569743156433105
train per: 0.9242604161288657
train loss: 3.1396374702453613
train per: 0.9289815887730141
train loss: 3.1401429176330566
train per: 0.9173429826828637
train loss: 3.149484872817993
train per: 0.9129321064411838
train loss: 3.141592025756836
train per: 0.9285136427153049
train loss: 3.220435619354248
train per: 0.8925350035063961
train loss: 3.171387195587158
train per: 0.9172127891967035
train loss: 3.1424763202667236
train per: 0.9143912474284646
train loss: 3.1593124866485596
train per: 0.9143445403710723
train loss: 3.1440529823303223
train per: 0.9260846277450455
train loss: 3.1597344875335693
train per: 0.9298800676918549
train loss: 3.172506809234619
train per: 0.925634592346466
train loss: 3.1531081199645996
train per: 0.9256746217438777
train loss: 3.1771137714385986
train per: 0.9235451731224474
train loss: 3.1387789249420166
train per: 0.9206198533425093
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██▏       | 579/2703 [00:00<00:00, 5785.15it/s]


word -> phonemes:  44%|████▎     | 1177/2703 [00:00<00:00, 5897.74it/s]


word -> phonemes:  66%|██████▌   | 1782/2703 [00:00<00:00, 5965.93it/s]


word -> phonemes:  88%|████████▊ | 2379/2703 [00:00<00:00, 5913.09it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5625.28it/s]



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overall:  25%|██▍       | 999/4000 [21:51<1:00:48,  1.22s/it]

train:  28%|██▊       | 999/3515 [21:49<50:59,  1.22s/it]
                                                             

                                                         

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overall:  48%|████▊     | 1909/4000 [39:10<38:22,  1.10s/it]

train:  54%|█████▍    | 1909/3515 [39:08<29:28,  1.10s/it]
overall:  48%|████▊     | 1910/4000 [39:11<40:28,  1.16s/it]

train:  54%|█████▍    | 1910/3515 [39:09<31:04,  1.16s/it]
overall:  48%|████▊     | 1911/4000 [39:12<34:05,  1.02it/s]

train:  54%|█████▍    | 1911/3515 [39:10<26:10,  1.02it/s]
overall:  48%|████▊     | 1912/4000 [39:13<35:53,  1.03s/it]

train:  54%|█████▍    | 1912/3515 [39:11<27:33,  1.03s/it]
overall:  48%|████▊     | 1913/4000 [39:14<37:17,  1.07s/it]

train:  54%|█████▍    | 1913/3515 [39:12<28:37,  1.07s/it]
overall:  48%|████▊     | 1914/4000 [39:15<36:18,  1.04s/it]

train:  54%|█████▍    | 1914/3515 [39:13<27:52,  1.04s/it]
overall:  48%|████▊     | 1915/4000 [39:16<35:32,  1.02s/it]

train:  54%|█████▍    | 1915/3515 [39:14<27:16,  1.02s/it]
overall:  48%|████▊     | 1916/4000 [39:16<28:00,  1.24it/s]

train:  55%|█████▍    | 1916/3515 [39:14<21:29,  1.24it/s]
overall:  48%|████▊     | 1917/4000 [39:18<32:28,  1.07it/s]

train:  55%|█████▍    | 1917/3515 [39:16<24:54,  1.07it/s]
overall:  48%|████▊     | 1918/4000 [39:19<35:31,  1.02s/it]

train:  55%|█████▍    | 1918/3515 [39:17<27:15,  1.02s/it]
overall:  48%|████▊     | 1919/4000 [39:20<37:18,  1.08s/it]

train:  55%|█████▍    | 1919/3515 [39:18<28:36,  1.08s/it]
overall:  48%|████▊     | 1920/4000 [39:21<38:41,  1.12s/it]

train:  55%|█████▍    | 1920/3515 [39:19<29:40,  1.12s/it]
overall:  48%|████▊     | 1921/4000 [39:22<39:52,  1.15s/it]

train:  55%|█████▍    | 1921/3515 [39:21<30:34,  1.15s/it]
overall:  48%|████▊     | 1922/4000 [39:24<39:18,  1.13s/it]

train:  55%|█████▍    | 1922/3515 [39:22<30:07,  1.13s/it]
overall:  48%|████▊     | 1923/4000 [39:25<45:13,  1.31s/it]

train:  55%|█████▍    | 1923/3515 [39:23<34:39,  1.31s/it]
overall:  48%|████▊     | 1924/4000 [39:26<44:22,  1.28s/it]

train:  55%|█████▍    | 1924/3515 [39:25<34:00,  1.28s/it]
overall:  48%|████▊     | 1925/4000 [39:28<44:35,  1.29s/it]

train:  55%|█████▍    | 1925/3515 [39:26<34:10,  1.29s/it]
overall:  48%|████▊     | 1926/4000 [39:29<44:31,  1.29s/it]

train:  55%|█████▍    | 1926/3515 [39:27<34:06,  1.29s/it]
overall:  48%|████▊     | 1927/4000 [39:29<34:13,  1.01it/s]

train:  55%|█████▍    | 1927/3515 [39:27<26:13,  1.01it/s]
overall:  48%|████▊     | 1928/4000 [39:31<37:00,  1.07s/it]

train:  55%|█████▍    | 1928/3515 [39:29<28:20,  1.07s/it]
overall:  48%|████▊     | 1929/4000 [39:32<37:57,  1.10s/it]

train:  55%|█████▍    | 1929/3515 [39:30<29:03,  1.10s/it]
overall:  48%|████▊     | 1930/4000 [39:33<39:09,  1.13s/it]

train:  55%|█████▍    | 1930/3515 [39:31<29:58,  1.13s/it]
overall:  48%|████▊     | 1931/4000 [39:34<39:41,  1.15s/it]

train:  55%|█████▍    | 1931/3515 [39:32<30:23,  1.15s/it]
overall:  48%|████▊     | 1932/4000 [39:35<40:33,  1.18s/it]

train:  55%|█████▍    | 1932/3515 [39:34<31:02,  1.18s/it]
overall:  48%|████▊     | 1933/4000 [39:37<40:09,  1.17s/it]

train:  55%|█████▍    | 1933/3515 [39:35<30:44,  1.17s/it]
overall:  48%|████▊     | 1934/4000 [39:38<40:39,  1.18s/it]

train:  55%|█████▌    | 1934/3515 [39:36<31:07,  1.18s/it]
overall:  48%|████▊     | 1935/4000 [39:39<41:53,  1.22s/it]

train:  55%|█████▌    | 1935/3515 [39:37<32:03,  1.22s/it]
overall:  48%|████▊     | 1936/4000 [39:40<42:10,  1.23s/it]

train:  55%|█████▌    | 1936/3515 [39:38<32:15,  1.23s/it]
overall:  48%|████▊     | 1937/4000 [39:42<42:00,  1.22s/it]

train:  55%|█████▌    | 1937/3515 [39:40<32:08,  1.22s/it]
overall:  48%|████▊     | 1938/4000 [39:43<42:06,  1.23s/it]

train:  55%|█████▌    | 1938/3515 [39:41<32:12,  1.23s/it]
overall:  48%|████▊     | 1939/4000 [39:44<42:03,  1.22s/it]

train:  55%|█████▌    | 1939/3515 [39:42<32:09,  1.22s/it]
overall:  48%|████▊     | 1940/4000 [39:45<40:41,  1.19s/it]

train:  55%|█████▌    | 1940/3515 [39:43<31:06,  1.19s/it]
overall:  49%|████▊     | 1941/4000 [39:46<40:49,  1.19s/it]

train:  55%|█████▌    | 1941/3515 [39:44<31:12,  1.19s/it]
overall:  49%|████▊     | 1942/4000 [39:48<41:22,  1.21s/it]

train:  55%|█████▌    | 1942/3515 [39:46<31:37,  1.21s/it]
overall:  49%|████▊     | 1943/4000 [39:49<41:29,  1.21s/it]

train:  55%|█████▌    | 1943/3515 [39:47<31:42,  1.21s/it]
overall:  49%|████▊     | 1944/4000 [39:50<41:00,  1.20s/it]

train:  55%|█████▌    | 1944/3515 [39:48<31:20,  1.20s/it]
overall:  49%|████▊     | 1945/4000 [39:51<41:19,  1.21s/it]

train:  55%|█████▌    | 1945/3515 [39:49<31:34,  1.21s/it]
overall:  49%|████▊     | 1946/4000 [39:52<41:48,  1.22s/it]

train:  55%|█████▌    | 1946/3515 [39:51<31:56,  1.22s/it]
overall:  49%|████▊     | 1947/4000 [39:54<45:54,  1.34s/it]

train:  55%|█████▌    | 1947/3515 [39:52<35:03,  1.34s/it]
overall:  49%|████▊     | 1948/4000 [39:55<41:22,  1.21s/it]

train:  55%|█████▌    | 1948/3515 [39:53<31:36,  1.21s/it]
overall:  49%|████▊     | 1949/4000 [39:56<40:47,  1.19s/it]

train:  55%|█████▌    | 1949/3515 [39:54<31:08,  1.19s/it]
overall:  49%|████▉     | 1950/4000 [39:57<41:48,  1.22s/it]

train:  55%|█████▌    | 1950/3515 [39:56<31:54,  1.22s/it]
overall:  49%|████▉     | 1951/4000 [39:59<41:52,  1.23s/it]

train:  56%|█████▌    | 1951/3515 [39:57<31:57,  1.23s/it]
overall:  49%|████▉     | 1952/4000 [40:00<39:13,  1.15s/it]

train:  56%|█████▌    | 1952/3515 [39:58<29:56,  1.15s/it]
overall:  49%|████▉     | 1953/4000 [40:01<40:46,  1.20s/it]

train:  56%|█████▌    | 1953/3515 [39:59<31:06,  1.20s/it]
overall:  49%|████▉     | 1954/4000 [40:02<41:09,  1.21s/it]

train:  56%|█████▌    | 1954/3515 [40:00<31:23,  1.21s/it]
overall:  49%|████▉     | 1955/4000 [40:03<40:25,  1.19s/it]

train:  56%|█████▌    | 1955/3515 [40:01<30:50,  1.19s/it]
overall:  49%|████▉     | 1956/4000 [40:04<40:01,  1.17s/it]

train:  56%|█████▌    | 1956/3515 [40:03<30:31,  1.17s/it]
overall:  49%|████▉     | 1957/4000 [40:06<40:11,  1.18s/it]

train:  56%|█████▌    | 1957/3515 [40:04<30:39,  1.18s/it]
overall:  49%|████▉     | 1958/4000 [40:07<40:25,  1.19s/it]

train:  56%|█████▌    | 1958/3515 [40:05<30:49,  1.19s/it]
overall:  49%|████▉     | 1959/4000 [40:08<40:55,  1.20s/it]

train:  56%|█████▌    | 1959/3515 [40:06<31:12,  1.20s/it]
overall:  49%|████▉     | 1960/4000 [40:09<41:33,  1.22s/it]

train:  56%|█████▌    | 1960/3515 [40:07<31:40,  1.22s/it]
overall:  49%|████▉     | 1961/4000 [40:11<42:20,  1.25s/it]

train:  56%|█████▌    | 1961/3515 [40:09<32:16,  1.25s/it]
overall:  49%|████▉     | 1962/4000 [40:12<42:23,  1.25s/it]

train:  56%|█████▌    | 1962/3515 [40:10<32:18,  1.25s/it]
overall:  49%|████▉     | 1963/4000 [40:13<41:28,  1.22s/it]

train:  56%|█████▌    | 1963/3515 [40:11<31:36,  1.22s/it]
overall:  49%|████▉     | 1964/4000 [40:14<41:47,  1.23s/it]

train:  56%|█████▌    | 1964/3515 [40:12<31:50,  1.23s/it]
overall:  49%|████▉     | 1965/4000 [40:15<38:58,  1.15s/it]

train:  56%|█████▌    | 1965/3515 [40:13<29:41,  1.15s/it]
overall:  49%|████▉     | 1966/4000 [40:16<40:09,  1.18s/it]

train:  56%|█████▌    | 1966/3515 [40:15<30:35,  1.18s/it]
overall:  49%|████▉     | 1967/4000 [40:18<39:46,  1.17s/it]

train:  56%|█████▌    | 1967/3515 [40:16<30:17,  1.17s/it]
overall:  49%|████▉     | 1968/4000 [40:18<33:06,  1.02it/s]

train:  56%|█████▌    | 1968/3515 [40:16<25:12,  1.02it/s]
overall:  49%|████▉     | 1969/4000 [40:19<35:02,  1.04s/it]

train:  56%|█████▌    | 1969/3515 [40:17<26:40,  1.04s/it]
overall:  49%|████▉     | 1970/4000 [40:21<37:08,  1.10s/it]

train:  56%|█████▌    | 1970/3515 [40:19<28:16,  1.10s/it]
overall:  49%|████▉     | 1971/4000 [40:22<42:04,  1.24s/it]

train:  56%|█████▌    | 1971/3515 [40:20<32:01,  1.24s/it]
overall:  49%|████▉     | 1972/4000 [40:23<42:01,  1.24s/it]

train:  56%|█████▌    | 1972/3515 [40:22<31:58,  1.24s/it]
overall:  49%|████▉     | 1973/4000 [40:25<42:23,  1.25s/it]

train:  56%|█████▌    | 1973/3515 [40:23<32:14,  1.25s/it]
overall:  49%|████▉     | 1974/4000 [40:26<42:07,  1.25s/it]

train:  56%|█████▌    | 1974/3515 [40:24<32:02,  1.25s/it]
overall:  49%|████▉     | 1975/4000 [40:26<33:53,  1.00s/it]

train:  56%|█████▌    | 1975/3515 [40:24<25:46,  1.00s/it]
overall:  49%|████▉     | 1976/4000 [40:28<36:18,  1.08s/it]

train:  56%|█████▌    | 1976/3515 [40:26<27:36,  1.08s/it]
overall:  49%|████▉     | 1977/4000 [40:29<38:03,  1.13s/it]

train:  56%|█████▌    | 1977/3515 [40:27<28:56,  1.13s/it]
overall:  49%|████▉     | 1978/4000 [40:30<38:33,  1.14s/it]

train:  56%|█████▋    | 1978/3515 [40:28<29:18,  1.14s/it]
overall:  49%|████▉     | 1979/4000 [40:31<39:28,  1.17s/it]

train:  56%|█████▋    | 1979/3515 [40:29<29:59,  1.17s/it]
overall:  50%|████▉     | 1980/4000 [40:32<39:29,  1.17s/it]

train:  56%|█████▋    | 1980/3515 [40:31<30:00,  1.17s/it]
overall:  50%|████▉     | 1981/4000 [40:34<38:33,  1.15s/it]

train:  56%|█████▋    | 1981/3515 [40:32<29:18,  1.15s/it]
overall:  50%|████▉     | 1982/4000 [40:35<39:32,  1.18s/it]

train:  56%|█████▋    | 1982/3515 [40:33<30:02,  1.18s/it]
overall:  50%|████▉     | 1983/4000 [40:36<40:55,  1.22s/it]

train:  56%|█████▋    | 1983/3515 [40:34<31:05,  1.22s/it]
overall:  50%|████▉     | 1984/4000 [40:37<41:39,  1.24s/it]

train:  56%|█████▋    | 1984/3515 [40:36<31:38,  1.24s/it]
overall:  50%|████▉     | 1985/4000 [40:39<41:37,  1.24s/it]

train:  56%|█████▋    | 1985/3515 [40:37<31:36,  1.24s/it]
overall:  50%|████▉     | 1986/4000 [40:40<41:40,  1.24s/it]

train:  57%|█████▋    | 1986/3515 [40:38<31:37,  1.24s/it]
overall:  50%|████▉     | 1987/4000 [40:41<41:33,  1.24s/it]

train:  57%|█████▋    | 1987/3515 [40:39<31:32,  1.24s/it]
overall:  50%|████▉     | 1988/4000 [40:42<40:42,  1.21s/it]

train:  57%|█████▋    | 1988/3515 [40:40<30:53,  1.21s/it]
overall:  50%|████▉     | 1989/4000 [40:43<40:39,  1.21s/it]

train:  57%|█████▋    | 1989/3515 [40:42<30:51,  1.21s/it]
overall:  50%|████▉     | 1990/4000 [40:45<40:24,  1.21s/it]

train:  57%|█████▋    | 1990/3515 [40:43<30:39,  1.21s/it]
overall:  50%|████▉     | 1991/4000 [40:46<40:29,  1.21s/it]

train:  57%|█████▋    | 1991/3515 [40:44<30:42,  1.21s/it]
overall:  50%|████▉     | 1992/4000 [40:47<41:00,  1.23s/it]

train:  57%|█████▋    | 1992/3515 [40:45<31:06,  1.23s/it]
overall:  50%|████▉     | 1993/4000 [40:48<41:39,  1.25s/it]

train:  57%|█████▋    | 1993/3515 [40:47<31:35,  1.25s/it]
overall:  50%|████▉     | 1994/4000 [40:49<39:33,  1.18s/it]

train:  57%|█████▋    | 1994/3515 [40:48<29:59,  1.18s/it]
overall:  50%|████▉     | 1995/4000 [40:51<43:26,  1.30s/it]

train:  57%|█████▋    | 1995/3515 [40:49<32:56,  1.30s/it]
overall:  50%|████▉     | 1996/4000 [40:52<42:19,  1.27s/it]

train:  57%|█████▋    | 1996/3515 [40:50<32:04,  1.27s/it]
overall:  50%|████▉     | 1997/4000 [40:54<42:34,  1.28s/it]

train:  57%|█████▋    | 1997/3515 [40:52<32:15,  1.28s/it]
overall:  50%|████▉     | 1998/4000 [40:55<42:19,  1.27s/it]

train:  57%|█████▋    | 1998/3515 [40:53<32:04,  1.27s/it]
overall:  50%|████▉     | 1999/4000 [40:56<41:34,  1.25s/it]

train:  57%|█████▋    | 1999/3515 [40:54<31:29,  1.25s/it]dev loss: 3.1846587657928467
dev per: 0.9219146722164412
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.175114870071411
train per: 0.9291787439613527
train loss: 3.1183276176452637
train per: 0.9245393819276224
train loss: 3.128509998321533
train per: 0.9308072916666666
train loss: 3.1412746906280518
train per: 0.9177921643040517
train loss: 3.1511757373809814
train per: 0.9172816283219988
train loss: 3.135690212249756
train per: 0.9247662825039416
train loss: 3.1620306968688965
train per: 0.9118080094228505
train loss: 3.1132097244262695
train per: 0.9210763759885356
train loss: 3.1342458724975586
train per: 0.9208426516469257
train loss: 3.1496031284332275
train per: 0.92785658105286
train loss: 3.155363082885742
train per: 0.9342514323886848
train loss: 3.1664507389068604
train per: 0.9228874165849458
train loss: 3.1554760932922363
train per: 0.9243812582656339
train loss: 3.1411633491516113
train per: 0.9272639923132356
train loss: 3.144472360610962
train per: 0.9306204919765994
train loss: 3.159085512161255
train per: 0.9157395962093119
train loss: 3.1311042308807373
train per: 0.9257915014797029
train loss: 3.138002634048462
train per: 0.9243878352029576
train loss: 3.16060209274292
train per: 0.9271774342226553
train loss: 3.149409532546997
train per: 0.9300906723256487
train loss: 3.1408607959747314
train per: 0.9253627699822805
train loss: 3.148059368133545
train per: 0.9340752817750053
train loss: 3.162487030029297
train per: 0.920334067973553
train loss: 3.136603832244873
train per: 0.9256540753433417
train loss: 3.1360344886779785
train per: 0.9245861977399463
train loss: 3.146632432937622
train per: 0.919953096582751
train loss: 3.1728334426879883
train per: 0.9215244229736983
train loss: 3.135408878326416
train per: 0.9261009451035592
train loss: 3.135699510574341
train per: 0.9311636077851232
train loss: 3.1239047050476074
train per: 0.9357379556461891
train loss: 3.117598056793213
train per: 0.9286512625168222
train loss: 3.176827907562256
train per: 0.943445276865266
train loss: 3.1825292110443115
train per: 0.9273735116943352
train loss: 3.1640524864196777
train per: 0.9272511104132083
train loss: 3.137970209121704
train per: 0.926021136818052
train loss: 3.133047580718994
train per: 0.9232769830949284
train loss: 3.113041400909424
train per: 0.925583474496518
train loss: 3.1248698234558105
train per: 0.9343670028601535
train loss: 3.132045030593872
train per: 0.9299929872076995
train loss: 3.141234874725342
train per: 0.9305434539072419
train loss: 3.1264078617095947
train per: 0.9346221267560427
train loss: 3.1465489864349365
train per: 0.9281123182012956
train loss: 3.1455957889556885
train per: 0.9254579121209088
train loss: 3.169532299041748
train per: 0.9221804054874347
train loss: 3.159736394882202
train per: 0.93384388954025
train loss: 3.156543493270874
train per: 0.9237540453074433
train loss: 3.134000301361084
train per: 0.9269096731656777
train loss: 3.1058034896850586
train per: 0.9256532853626207
train loss: 3.1302547454833984
train per: 0.9380639356144868
train loss: 3.1279709339141846
train per: 0.9276212921208276
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|██        | 549/2703 [00:00<00:00, 5489.40it/s]


word -> phonemes:  42%|████▏     | 1130/2703 [00:00<00:00, 5675.71it/s]


word -> phonemes:  63%|██████▎   | 1711/2703 [00:00<00:00, 5735.32it/s]


word -> phonemes:  85%|████████▍ | 2285/2703 [00:00<00:00, 5611.05it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5604.12it/s]



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train:  85%|████████▌ | 2999/3515 [1:02:36<10:07,  1.18s/it]dev loss: 3.182291030883789
dev per: 0.9373204994797086
train loss: 3.150963306427002
train per: 0.9302010112220989
train loss: 3.1235997676849365
train per: 0.9364368406882542
train loss: 3.133066177368164
train per: 0.9170184537450248
train loss: 3.129725694656372
train per: 0.9230866252964028
train loss: 3.143754243850708
train per: 0.9313152814217118
train loss: 3.146433115005493
train per: 0.9350517444892805
train loss: 3.1559970378875732
train per: 0.9257631617755493
train loss: 3.1753792762756348
train per: 0.9096881266855681
train loss: 3.152494192123413
train per: 0.9281380130874479
train loss: 3.137697219848633
train per: 0.933711011265221
train loss: 3.1440718173980713
train per: 0.9376891789632993
train loss: 3.1125967502593994
train per: 0.9302668391444301
train loss: 3.165457248687744
train per: 0.922732838543619
train loss: 3.121216297149658
train per: 0.9322524186883173
train loss: 3.1372122764587402
train per: 0.9234980655522301
train loss: 3.1130595207214355
train per: 0.9302188923167328
train loss: 3.1325719356536865
train per: 0.9207928197456994
train loss: 3.14041805267334
train per: 0.9286099214340414
train loss: 3.1398844718933105
train per: 0.930106911471807
train loss: 3.1530346870422363
train per: 0.9350188048474718
train loss: 3.1921660900115967
train per: 0.9290697385734502
train loss: 3.157892942428589
train per: 0.9429492344883159
train loss: 3.178182601928711
train per: 0.9402363908773098
train loss: 3.1374804973602295
train per: 0.9380640594585029
train loss: 3.129655361175537
train per: 0.9305805254306095
train loss: 3.14979887008667
train per: 0.9296884742972589
train loss: 3.126269817352295
train per: 0.9266300912699416
train loss: 3.13130784034729
train per: 0.9238643950446329
train loss: 3.1378703117370605
train per: 0.9248704663212435
train loss: 3.158951759338379
train per: 0.9250976826481213
train loss: 3.118854284286499
train per: 0.9265562130177515
train loss: 3.116873264312744
train per: 0.9326817826426896
train loss: 3.113704204559326
train per: 0.9331457068088678
train loss: 3.1442017555236816
train per: 0.9257223936397829
train loss: 3.1041297912597656
train per: 0.9269009755445677
train loss: 3.117548704147339
train per: 0.9275684656198081
train loss: 3.1167774200439453
train per: 0.9288542565612468
train loss: 3.145995616912842
train per: 0.9344472001044251
train loss: 3.123760461807251
train per: 0.9327836852108696
train loss: 3.13773775100708
train per: 0.9379388832388977
train loss: 3.1376891136169434
train per: 0.9387555002869715
train loss: 3.1487557888031006
train per: 0.9321011723725597
train loss: 3.1255884170532227
train per: 0.93744996255262
train loss: 3.1414854526519775
train per: 0.9197421238292178
train loss: 3.1238017082214355
train per: 0.9286224503293737
train loss: 3.106654644012451
train per: 0.923374497842583
train loss: 3.1196610927581787
train per: 0.9330883284754784
train loss: 3.1181108951568604
train per: 0.9326092677208679
train loss: 3.1275784969329834
train per: 0.9222044302108353
train loss: 3.161078929901123
train per: 0.9311755248723284
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 599/2703 [00:00<00:00, 5976.14it/s]


word -> phonemes:  45%|████▍     | 1203/2703 [00:00<00:00, 6013.34it/s]


word -> phonemes:  68%|██████▊   | 1829/2703 [00:00<00:00, 6122.55it/s]


word -> phonemes:  90%|█████████ | 2443/2703 [00:00<00:00, 6126.38it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 6065.88it/s]



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train:  86%|████████▋ | 3034/3515 [1:06:04<09:32,  1.19s/it]
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train:  86%|████████▋ | 3035/3515 [1:06:05<09:37,  1.20s/it]
overall:  76%|███████▌  | 3036/4000 [1:06:08<19:43,  1.23s/it]

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overall:  78%|███████▊  | 3101/4000 [1:07:22<12:23,  1.21it/s]

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overall:  88%|████████▊ | 3512/4000 [1:15:12<08:19,  1.02s/it]

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overall:  88%|████████▊ | 3515/4000 [1:15:15<09:27,  1.17s/it]

train: 100%|██████████| 3515/3515 [1:15:14<00:00,  1.17s/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 [1:15:14<00:00,  1.28s/it]
dev loss: 3.1926681995391846
dev per: 0.9192299687825182
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.1247410774230957
train per: 0.9450213805742211
train loss: 3.1180472373962402
train per: 0.9381830120538436
train loss: 3.1121878623962402
train per: 0.9343704997757265
train loss: 3.129366874694824
train per: 0.934705341386424
train loss: 3.1466586589813232
train per: 0.930949867321026
train loss: 3.1405773162841797
train per: 0.9345452632132804
train loss: 3.1224639415740967
train per: 0.9276877880494838
train loss: 3.1252880096435547
train per: 0.9367522192203782
train loss: 3.122708320617676
train per: 0.9289035700673358
train loss: 3.103015184402466
train per: 0.9353476205332502
train loss: 3.1107964515686035
train per: 0.9322167591302291
train loss: 3.1325249671936035
train per: 0.9301527981456077
train loss: 3.1291399002075195
train per: 0.9354289521083669
train loss: 3.118126630783081
train per: 0.9267546606291247
train loss: 3.1079680919647217
train per: 0.9321270221689635
train loss: 3.1113829612731934
train per: 0.9298183741844472
train loss: 3.1273999214172363
train per: 0.9341955462452752
train loss: 3.1165173053741455
train per: 0.9317354070282509
train loss: 3.1168439388275146
train per: 0.927863545816733
train loss: 3.1125435829162598
train per: 0.9328214077952298
train loss: 3.1172776222229004
train per: 0.9289697291556027
train loss: 3.165693759918213
train per: 0.926708405488211
train loss: 3.1333682537078857
train per: 0.921905660846022
train loss: 3.1136226654052734
train per: 0.9392966199852585
train loss: 3.1452832221984863
train per: 0.9418101953531384
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  12%|█▏        | 414/3515 [00:00<00:00, 4135.54it/s]

word -> phonemes:  26%|██▌       | 904/3515 [00:00<00:00, 4580.22it/s]

word -> phonemes:  40%|████      | 1409/3515 [00:00<00:00, 4793.64it/s]

word -> phonemes:  54%|█████▍    | 1903/3515 [00:00<00:00, 4850.44it/s]

word -> phonemes:  68%|██████▊   | 2389/3515 [00:00<00:00, 4841.36it/s]

word -> phonemes:  82%|████████▏ | 2881/3515 [00:00<00:00, 4866.32it/s]

word -> phonemes:  96%|█████████▌| 3368/3515 [00:00<00:00, 4777.69it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4770.31it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:15:20<17:18,  2.14s/it]

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overall:  88%|████████▊ | 3520/4000 [1:15:25<11:51,  1.48s/it]

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overall:  88%|████████▊ | 3521/4000 [1:15:26<11:26,  1.43s/it]

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overall:  88%|████████▊ | 3522/4000 [1:15:28<10:46,  1.35s/it]

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overall:  88%|████████▊ | 3523/4000 [1:15:28<08:33,  1.08s/it]

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overall:  88%|████████▊ | 3524/4000 [1:15:29<09:04,  1.14s/it]

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overall:  88%|████████▊ | 3526/4000 [1:15:32<09:26,  1.20s/it]

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overall:  88%|████████▊ | 3527/4000 [1:15:33<09:17,  1.18s/it]

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overall:  88%|████████▊ | 3528/4000 [1:15:34<09:25,  1.20s/it]

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overall:  88%|████████▊ | 3529/4000 [1:15:35<09:24,  1.20s/it]

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overall:  88%|████████▊ | 3530/4000 [1:15:37<09:23,  1.20s/it]

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overall:  88%|████████▊ | 3531/4000 [1:15:38<09:28,  1.21s/it]

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overall:  88%|████████▊ | 3532/4000 [1:15:39<09:37,  1.23s/it]

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overall:  88%|████████▊ | 3533/4000 [1:15:40<09:34,  1.23s/it]

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overall:  88%|████████▊ | 3534/4000 [1:15:42<09:35,  1.24s/it]

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overall:  88%|████████▊ | 3535/4000 [1:15:43<09:44,  1.26s/it]

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overall:  88%|████████▊ | 3536/4000 [1:15:44<09:57,  1.29s/it]

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overall:  88%|████████▊ | 3537/4000 [1:15:45<09:56,  1.29s/it]

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overall:  88%|████████▊ | 3538/4000 [1:15:47<09:50,  1.28s/it]

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overall:  88%|████████▊ | 3540/4000 [1:15:49<09:54,  1.29s/it]

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overall:  89%|████████▊ | 3541/4000 [1:15:51<09:46,  1.28s/it]

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overall:  89%|████████▊ | 3544/4000 [1:15:54<09:08,  1.20s/it]

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overall:  89%|████████▊ | 3545/4000 [1:15:55<09:21,  1.23s/it]

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overall:  89%|████████▊ | 3546/4000 [1:15:57<09:07,  1.21s/it]

train:   1%|          | 31/3515 [00:39<1:10:02,  1.21s/it]
overall:  89%|████████▊ | 3547/4000 [1:15:57<07:20,  1.03it/s]

train:   1%|          | 32/3515 [00:39<56:23,  1.03it/s]  
overall:  89%|████████▊ | 3548/4000 [1:15:58<08:10,  1.09s/it]

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overall:  89%|████████▊ | 3549/4000 [1:16:00<08:38,  1.15s/it]

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overall:  89%|████████▉ | 3550/4000 [1:16:01<08:49,  1.18s/it]

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overall:  89%|████████▉ | 3551/4000 [1:16:02<08:46,  1.17s/it]

train:   1%|          | 36/3515 [00:44<1:07:59,  1.17s/it]
overall:  89%|████████▉ | 3552/4000 [1:16:03<08:55,  1.19s/it]

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overall:  89%|████████▉ | 3553/4000 [1:16:04<08:58,  1.20s/it]

train:   1%|          | 38/3515 [00:46<1:09:45,  1.20s/it]
overall:  89%|████████▉ | 3554/4000 [1:16:06<09:14,  1.24s/it]

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overall:  89%|████████▉ | 3555/4000 [1:16:07<09:14,  1.25s/it]

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overall:  89%|████████▉ | 3556/4000 [1:16:08<09:16,  1.25s/it]

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overall:  89%|████████▉ | 3557/4000 [1:16:10<09:12,  1.25s/it]

train:   1%|          | 42/3515 [00:52<1:12:15,  1.25s/it]
overall:  89%|████████▉ | 3558/4000 [1:16:11<08:41,  1.18s/it]

train:   1%|          | 43/3515 [00:53<1:08:19,  1.18s/it]
overall:  89%|████████▉ | 3559/4000 [1:16:12<08:40,  1.18s/it]

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overall:  89%|████████▉ | 3560/4000 [1:16:13<09:03,  1.23s/it]

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overall:  89%|████████▉ | 3561/4000 [1:16:14<09:00,  1.23s/it]

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overall:  89%|████████▉ | 3562/4000 [1:16:15<07:40,  1.05s/it]

train:   1%|▏         | 47/3515 [00:57<1:00:45,  1.05s/it]
overall:  89%|████████▉ | 3563/4000 [1:16:16<07:16,  1.00it/s]

train:   1%|▏         | 48/3515 [00:58<57:40,  1.00it/s]  
overall:  89%|████████▉ | 3564/4000 [1:16:17<07:54,  1.09s/it]

train:   1%|▏         | 49/3515 [00:59<1:02:49,  1.09s/it]
overall:  89%|████████▉ | 3565/4000 [1:16:18<08:18,  1.15s/it]

train:   1%|▏         | 50/3515 [01:00<1:06:07,  1.15s/it]
overall:  89%|████████▉ | 3566/4000 [1:16:20<08:18,  1.15s/it]

train:   1%|▏         | 51/3515 [01:02<1:06:18,  1.15s/it]
overall:  89%|████████▉ | 3567/4000 [1:16:21<08:36,  1.19s/it]

train:   1%|▏         | 52/3515 [01:03<1:08:47,  1.19s/it]
overall:  89%|████████▉ | 3568/4000 [1:16:22<08:29,  1.18s/it]

train:   2%|▏         | 53/3515 [01:04<1:08:04,  1.18s/it]
overall:  89%|████████▉ | 3569/4000 [1:16:23<08:37,  1.20s/it]

train:   2%|▏         | 54/3515 [01:05<1:09:18,  1.20s/it]
overall:  89%|████████▉ | 3570/4000 [1:16:24<08:28,  1.18s/it]

train:   2%|▏         | 55/3515 [01:06<1:08:12,  1.18s/it]
overall:  89%|████████▉ | 3571/4000 [1:16:26<08:41,  1.22s/it]

train:   2%|▏         | 56/3515 [01:08<1:10:05,  1.22s/it]
overall:  89%|████████▉ | 3572/4000 [1:16:27<08:57,  1.26s/it]

train:   2%|▏         | 57/3515 [01:09<1:12:26,  1.26s/it]
overall:  89%|████████▉ | 3573/4000 [1:16:28<09:02,  1.27s/it]

train:   2%|▏         | 58/3515 [01:10<1:13:13,  1.27s/it]
overall:  89%|████████▉ | 3574/4000 [1:16:30<09:08,  1.29s/it]

train:   2%|▏         | 59/3515 [01:12<1:14:12,  1.29s/it]
overall:  89%|████████▉ | 3575/4000 [1:16:31<09:08,  1.29s/it]

train:   2%|▏         | 60/3515 [01:13<1:14:21,  1.29s/it]
overall:  89%|████████▉ | 3576/4000 [1:16:32<09:03,  1.28s/it]

train:   2%|▏         | 61/3515 [01:14<1:13:51,  1.28s/it]
overall:  89%|████████▉ | 3577/4000 [1:16:34<09:00,  1.28s/it]

train:   2%|▏         | 62/3515 [01:16<1:13:33,  1.28s/it]
overall:  89%|████████▉ | 3578/4000 [1:16:35<08:53,  1.26s/it]

train:   2%|▏         | 63/3515 [01:17<1:12:40,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:16:36<08:47,  1.25s/it]

train:   2%|▏         | 64/3515 [01:18<1:12:07,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:16:37<08:41,  1.24s/it]

train:   2%|▏         | 65/3515 [01:19<1:11:22,  1.24s/it]
overall:  90%|████████▉ | 3581/4000 [1:16:38<08:25,  1.21s/it]

train:   2%|▏         | 66/3515 [01:20<1:09:24,  1.21s/it]
overall:  90%|████████▉ | 3582/4000 [1:16:40<08:27,  1.21s/it]

train:   2%|▏         | 67/3515 [01:22<1:09:47,  1.21s/it]
overall:  90%|████████▉ | 3583/4000 [1:16:41<08:37,  1.24s/it]

train:   2%|▏         | 68/3515 [01:23<1:11:20,  1.24s/it]
overall:  90%|████████▉ | 3584/4000 [1:16:42<08:33,  1.23s/it]

train:   2%|▏         | 69/3515 [01:24<1:10:53,  1.23s/it]
overall:  90%|████████▉ | 3585/4000 [1:16:43<07:46,  1.12s/it]

train:   2%|▏         | 70/3515 [01:25<1:04:33,  1.12s/it]
overall:  90%|████████▉ | 3586/4000 [1:16:44<07:44,  1.12s/it]

train:   2%|▏         | 71/3515 [01:26<1:04:25,  1.12s/it]
overall:  90%|████████▉ | 3587/4000 [1:16:45<08:06,  1.18s/it]

train:   2%|▏         | 72/3515 [01:27<1:07:35,  1.18s/it]
overall:  90%|████████▉ | 3588/4000 [1:16:47<08:19,  1.21s/it]

train:   2%|▏         | 73/3515 [01:29<1:09:33,  1.21s/it]
overall:  90%|████████▉ | 3589/4000 [1:16:48<08:26,  1.23s/it]

train:   2%|▏         | 74/3515 [01:30<1:10:37,  1.23s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:49<08:36,  1.26s/it]

train:   2%|▏         | 75/3515 [01:31<1:12:13,  1.26s/it]
overall:  90%|████████▉ | 3591/4000 [1:16:51<08:38,  1.27s/it]

train:   2%|▏         | 76/3515 [01:33<1:12:41,  1.27s/it]
overall:  90%|████████▉ | 3592/4000 [1:16:52<08:31,  1.25s/it]

train:   2%|▏         | 77/3515 [01:34<1:11:46,  1.25s/it]
overall:  90%|████████▉ | 3593/4000 [1:16:53<08:40,  1.28s/it]

train:   2%|▏         | 78/3515 [01:35<1:13:11,  1.28s/it]
overall:  90%|████████▉ | 3594/4000 [1:16:54<08:20,  1.23s/it]

train:   2%|▏         | 79/3515 [01:36<1:10:38,  1.23s/it]
overall:  90%|████████▉ | 3595/4000 [1:16:55<08:09,  1.21s/it]

train:   2%|▏         | 80/3515 [01:37<1:09:07,  1.21s/it]
overall:  90%|████████▉ | 3596/4000 [1:16:57<08:09,  1.21s/it]

train:   2%|▏         | 81/3515 [01:39<1:09:25,  1.21s/it]
overall:  90%|████████▉ | 3597/4000 [1:16:58<08:19,  1.24s/it]

train:   2%|▏         | 82/3515 [01:40<1:10:52,  1.24s/it]
overall:  90%|████████▉ | 3598/4000 [1:16:59<08:29,  1.27s/it]

train:   2%|▏         | 83/3515 [01:41<1:12:27,  1.27s/it]
overall:  90%|████████▉ | 3599/4000 [1:17:01<08:32,  1.28s/it]

train:   2%|▏         | 84/3515 [01:43<1:13:04,  1.28s/it]
overall:  90%|█████████ | 3600/4000 [1:17:02<08:40,  1.30s/it]

train:   2%|▏         | 85/3515 [01:44<1:14:27,  1.30s/it]
overall:  90%|█████████ | 3601/4000 [1:17:03<08:38,  1.30s/it]

train:   2%|▏         | 86/3515 [01:45<1:14:14,  1.30s/it]
overall:  90%|█████████ | 3602/4000 [1:17:04<08:22,  1.26s/it]

train:   2%|▏         | 87/3515 [01:46<1:12:07,  1.26s/it]
overall:  90%|█████████ | 3603/4000 [1:17:06<08:19,  1.26s/it]

train:   3%|▎         | 88/3515 [01:48<1:11:51,  1.26s/it]
overall:  90%|█████████ | 3604/4000 [1:17:07<08:05,  1.23s/it]

train:   3%|▎         | 89/3515 [01:49<1:10:03,  1.23s/it]
overall:  90%|█████████ | 3605/4000 [1:17:08<08:01,  1.22s/it]

train:   3%|▎         | 90/3515 [01:50<1:09:30,  1.22s/it]
overall:  90%|█████████ | 3606/4000 [1:17:09<07:54,  1.20s/it]

train:   3%|▎         | 91/3515 [01:51<1:08:42,  1.20s/it]
overall:  90%|█████████ | 3607/4000 [1:17:10<07:56,  1.21s/it]

train:   3%|▎         | 92/3515 [01:52<1:09:10,  1.21s/it]
overall:  90%|█████████ | 3608/4000 [1:17:12<08:11,  1.25s/it]

train:   3%|▎         | 93/3515 [01:54<1:11:30,  1.25s/it]
overall:  90%|█████████ | 3609/4000 [1:17:12<06:28,  1.01it/s]

train:   3%|▎         | 94/3515 [01:54<56:38,  1.01it/s]  
overall:  90%|█████████ | 3610/4000 [1:17:13<06:25,  1.01it/s]

train:   3%|▎         | 95/3515 [01:55<56:22,  1.01it/s]
overall:  90%|█████████ | 3611/4000 [1:17:14<06:45,  1.04s/it]

train:   3%|▎         | 96/3515 [01:56<59:21,  1.04s/it]
overall:  90%|█████████ | 3612/4000 [1:17:15<06:56,  1.07s/it]

train:   3%|▎         | 97/3515 [01:57<1:01:04,  1.07s/it]
overall:  90%|█████████ | 3613/4000 [1:17:17<07:03,  1.09s/it]

train:   3%|▎         | 98/3515 [01:59<1:02:20,  1.09s/it]
overall:  90%|█████████ | 3614/4000 [1:17:18<07:12,  1.12s/it]

train:   3%|▎         | 99/3515 [02:00<1:03:51,  1.12s/it]
overall:  90%|█████████ | 3615/4000 [1:17:19<07:20,  1.14s/it]

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overall:  90%|█████████ | 3616/4000 [1:17:20<07:33,  1.18s/it]

train:   3%|▎         | 101/3515 [02:02<1:07:10,  1.18s/it]
overall:  90%|█████████ | 3617/4000 [1:17:21<07:41,  1.20s/it]

train:   3%|▎         | 102/3515 [02:03<1:08:29,  1.20s/it]
overall:  90%|█████████ | 3618/4000 [1:17:23<07:50,  1.23s/it]

train:   3%|▎         | 103/3515 [02:05<1:10:04,  1.23s/it]
overall:  90%|█████████ | 3619/4000 [1:17:23<06:39,  1.05s/it]

train:   3%|▎         | 104/3515 [02:05<59:36,  1.05s/it]  
overall:  90%|█████████ | 3620/4000 [1:17:24<05:47,  1.09it/s]

train:   3%|▎         | 105/3515 [02:06<51:56,  1.09it/s]
overall:  91%|█████████ | 3621/4000 [1:17:24<04:32,  1.39it/s]

train:   3%|▎         | 106/3515 [02:06<40:47,  1.39it/s]
overall:  91%|█████████ | 3622/4000 [1:17:25<05:29,  1.15it/s]

train:   3%|▎         | 107/3515 [02:07<49:34,  1.15it/s]
overall:  91%|█████████ | 3623/4000 [1:17:27<06:19,  1.01s/it]

train:   3%|▎         | 108/3515 [02:09<57:05,  1.01s/it]
overall:  91%|█████████ | 3624/4000 [1:17:28<06:35,  1.05s/it]

train:   3%|▎         | 109/3515 [02:10<59:46,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:17:28<05:27,  1.15it/s]

train:   3%|▎         | 110/3515 [02:10<49:33,  1.15it/s]
overall:  91%|█████████ | 3626/4000 [1:17:30<06:16,  1.01s/it]

train:   3%|▎         | 111/3515 [02:12<57:05,  1.01s/it]
overall:  91%|█████████ | 3627/4000 [1:17:31<06:33,  1.06s/it]

train:   3%|▎         | 112/3515 [02:13<59:52,  1.06s/it]
overall:  91%|█████████ | 3628/4000 [1:17:32<07:03,  1.14s/it]

train:   3%|▎         | 113/3515 [02:14<1:04:33,  1.14s/it]
overall:  91%|█████████ | 3629/4000 [1:17:33<07:14,  1.17s/it]

train:   3%|▎         | 114/3515 [02:15<1:06:22,  1.17s/it]
overall:  91%|█████████ | 3630/4000 [1:17:34<05:36,  1.10it/s]

train:   3%|▎         | 115/3515 [02:16<51:31,  1.10it/s]  
overall:  91%|█████████ | 3631/4000 [1:17:35<06:12,  1.01s/it]

train:   3%|▎         | 116/3515 [02:17<57:08,  1.01s/it]
overall:  91%|█████████ | 3632/4000 [1:17:36<06:39,  1.09s/it]

train:   3%|▎         | 117/3515 [02:18<1:01:31,  1.09s/it]
overall:  91%|█████████ | 3633/4000 [1:17:37<06:23,  1.04s/it]

train:   3%|▎         | 118/3515 [02:19<59:05,  1.04s/it]  
overall:  91%|█████████ | 3634/4000 [1:17:38<06:42,  1.10s/it]

train:   3%|▎         | 119/3515 [02:20<1:02:14,  1.10s/it]
overall:  91%|█████████ | 3635/4000 [1:17:39<06:28,  1.07s/it]

train:   3%|▎         | 120/3515 [02:21<1:00:16,  1.07s/it]
overall:  91%|█████████ | 3636/4000 [1:17:41<06:50,  1.13s/it]

train:   3%|▎         | 121/3515 [02:23<1:03:46,  1.13s/it]
overall:  91%|█████████ | 3637/4000 [1:17:42<06:40,  1.10s/it]

train:   3%|▎         | 122/3515 [02:24<1:02:28,  1.10s/it]
overall:  91%|█████████ | 3638/4000 [1:17:43<06:52,  1.14s/it]

train:   3%|▎         | 123/3515 [02:25<1:04:28,  1.14s/it]
overall:  91%|█████████ | 3639/4000 [1:17:44<07:10,  1.19s/it]

train:   4%|▎         | 124/3515 [02:26<1:07:24,  1.19s/it]
overall:  91%|█████████ | 3640/4000 [1:17:45<07:01,  1.17s/it]

train:   4%|▎         | 125/3515 [02:27<1:06:12,  1.17s/it]
overall:  91%|█████████ | 3641/4000 [1:17:46<05:40,  1.05it/s]

train:   4%|▎         | 126/3515 [02:28<53:34,  1.05it/s]  
overall:  91%|█████████ | 3642/4000 [1:17:47<06:13,  1.04s/it]

train:   4%|▎         | 127/3515 [02:29<58:50,  1.04s/it]
overall:  91%|█████████ | 3643/4000 [1:17:48<06:12,  1.04s/it]

train:   4%|▎         | 128/3515 [02:30<58:57,  1.04s/it]
overall:  91%|█████████ | 3644/4000 [1:17:49<06:38,  1.12s/it]

train:   4%|▎         | 129/3515 [02:31<1:03:07,  1.12s/it]
overall:  91%|█████████ | 3645/4000 [1:17:50<06:24,  1.08s/it]

train:   4%|▎         | 130/3515 [02:32<1:01:10,  1.08s/it]
overall:  91%|█████████ | 3646/4000 [1:17:52<06:48,  1.15s/it]

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overall:  99%|█████████▉| 3973/4000 [1:24:11<00:31,  1.16s/it]

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overall:  99%|█████████▉| 3974/4000 [1:24:12<00:28,  1.11s/it]

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overall:  99%|█████████▉| 3975/4000 [1:24:13<00:28,  1.14s/it]

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overall:  99%|█████████▉| 3976/4000 [1:24:14<00:27,  1.13s/it]

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overall:  99%|█████████▉| 3977/4000 [1:24:15<00:26,  1.14s/it]

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overall: 100%|█████████▉| 3999/4000 [1:24:40<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [09:22<55:37,  1.10s/it]train loss: 3.1277520656585693
train per: 0.9267858859725027
train loss: 3.1169631481170654
train per: 0.9339026840821013
train loss: 3.1236343383789062
train per: 0.9250077792760087
train loss: 3.123218059539795
train per: 0.9318642048838595
train loss: 3.1232879161834717
train per: 0.931579867179308
train loss: 3.095979690551758
train per: 0.9280824654396292
train loss: 3.148669958114624
train per: 0.9253628379633315
train loss: 3.1186766624450684
train per: 0.927086081596431
train loss: 3.1378674507141113
train per: 0.9380636777128005
train loss: 3.126364231109619
train per: 0.9401572926596758
train loss: 3.1263365745544434
train per: 0.9187145557655955
train loss: 3.1312472820281982
train per: 0.9304657506566983
train loss: 3.11382794380188
train per: 0.9291660321811076
train loss: 3.1289849281311035
train per: 0.9283188607990763
train loss: 3.1407551765441895
train per: 0.9289306315633782
train loss: 3.1225602626800537
train per: 0.926904909585381
train loss: 3.123910427093506
train per: 0.9270133010882708
train loss: 3.1094553470611572
train per: 0.9283037429146953
train loss: 3.1092145442962646
train per: 0.9303098852579652
train loss: 3.1201775074005127
train per: 0.9396067058434455
train loss: 3.1213936805725098
train per: 0.9372576489130163
train loss: 3.1753945350646973
train per: 0.918869946917109
train loss: 3.147200345993042
train per: 0.921060834329056
train loss: 3.110234260559082
train per: 0.9309247333217296
train loss: 3.1071858406066895
train per: 0.9353088480801336
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 564/2703 [00:00<00:00, 5630.22it/s]


word -> phonemes:  42%|████▏     | 1136/2703 [00:00<00:00, 5681.02it/s]


word -> phonemes:  64%|██████▍   | 1729/2703 [00:00<00:00, 5794.02it/s]


word -> phonemes:  85%|████████▌ | 2309/2703 [00:00<00:00, 5660.29it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5655.80it/s]



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overall: 100%|█████████▉| 3999/4000 [1:27:07<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [11:49<55:37,  1.10s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:27:07<00:01,  1.10s/it]

train:  14%|█▍        | 484/3515 [11:49<55:37,  1.10s/it]
overall: 100%|██████████| 4000/4000 [1:27:07<00:00, 44.82s/it]

train:  14%|█▍        | 485/3515 [11:49<37:43:13, 44.82s/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 [11:49<1:13:54,  1.46s/it] 

overall: 100%|██████████| 4000/4000 [1:27:07<00:00,  1.31s/it]
dev loss: 3.1774189472198486
dev per: 0.9673517169614985
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt