/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_v', 'encoder.pos_conv_embed.conv.weight_g']
- 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:  13%|█▎        | 470/3515 [00:00<00:00, 4695.94it/s]

word -> phonemes:  27%|██▋       | 940/3515 [00:00<00:00, 4242.04it/s]

word -> phonemes:  39%|███▉      | 1374/3515 [00:00<00:00, 4281.88it/s]

word -> phonemes:  52%|█████▏    | 1842/3515 [00:00<00:00, 4431.86it/s]

word -> phonemes:  66%|██████▌   | 2312/3515 [00:00<00:00, 4522.81it/s]

word -> phonemes:  79%|███████▊  | 2766/3515 [00:00<00:00, 4462.03it/s]

word -> phonemes:  91%|█████████▏| 3214/3515 [00:00<00:00, 4443.42it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4406.85it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:47:08,  4.31s/it]

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overall:   0%|          | 2/4000 [00:05<2:42:45,  2.44s/it]

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overall:   0%|          | 3/4000 [00:06<2:04:11,  1.86s/it]

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overall:   0%|          | 4/4000 [00:07<1:46:05,  1.59s/it]

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overall:   0%|          | 5/4000 [00:09<1:36:45,  1.45s/it]

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overall:   0%|          | 6/4000 [00:10<1:29:37,  1.35s/it]

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overall:   0%|          | 7/4000 [00:11<1:29:23,  1.34s/it]

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overall:   0%|          | 8/4000 [00:12<1:26:07,  1.29s/it]

train:   0%|          | 8/3515 [00:10<1:12:42,  1.24s/it]
overall:   0%|          | 9/4000 [00:13<1:25:25,  1.28s/it]

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overall:   0%|          | 10/4000 [00:14<1:07:47,  1.02s/it]

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overall:   0%|          | 11/4000 [00:14<52:39,  1.26it/s]  

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overall:   0%|          | 12/4000 [00:15<1:00:45,  1.09it/s]

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overall:   0%|          | 13/4000 [00:16<1:04:19,  1.03it/s]

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overall:   0%|          | 14/4000 [00:18<1:08:37,  1.03s/it]

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overall:   0%|          | 15/4000 [00:19<1:09:00,  1.04s/it]

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overall:   0%|          | 16/4000 [00:20<1:12:21,  1.09s/it]

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overall:   0%|          | 17/4000 [00:21<1:13:19,  1.10s/it]

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overall:   0%|          | 18/4000 [00:22<1:16:36,  1.15s/it]

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overall:   0%|          | 19/4000 [00:23<1:02:06,  1.07it/s]

train:   1%|          | 19/3515 [00:21<54:28,  1.07it/s]  
overall:   0%|          | 20/4000 [00:24<1:08:26,  1.03s/it]

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overall:   1%|          | 21/4000 [00:25<1:13:20,  1.11s/it]

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overall:   1%|          | 22/4000 [00:27<1:16:46,  1.16s/it]

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overall:   1%|          | 23/4000 [00:28<1:18:43,  1.19s/it]

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overall:   1%|          | 24/4000 [00:29<1:17:04,  1.16s/it]

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overall:   1%|          | 25/4000 [00:30<1:17:56,  1.18s/it]

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overall:   1%|          | 26/4000 [00:31<1:18:13,  1.18s/it]

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overall:   1%|          | 27/4000 [00:33<1:19:28,  1.20s/it]

train:   1%|          | 27/3515 [00:31<1:09:46,  1.20s/it]
overall:   1%|          | 28/4000 [00:34<1:17:50,  1.18s/it]

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overall:   1%|          | 29/4000 [00:35<1:17:31,  1.17s/it]

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overall:   1%|          | 30/4000 [00:36<1:20:20,  1.21s/it]

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overall:   1%|          | 31/4000 [00:37<1:21:33,  1.23s/it]

train:   1%|          | 31/3515 [00:35<1:11:35,  1.23s/it]
overall:   1%|          | 32/4000 [00:39<1:21:06,  1.23s/it]

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overall:   1%|          | 33/4000 [00:40<1:21:51,  1.24s/it]

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overall:   1%|          | 34/4000 [00:40<1:02:48,  1.05it/s]

train:   1%|          | 34/3515 [00:38<55:07,  1.05it/s]  
overall:   1%|          | 35/4000 [00:41<1:08:44,  1.04s/it]

train:   1%|          | 35/3515 [00:39<1:00:20,  1.04s/it]
overall:   1%|          | 36/4000 [00:43<1:12:52,  1.10s/it]

train:   1%|          | 36/3515 [00:41<1:03:57,  1.10s/it]
overall:   1%|          | 37/4000 [00:44<1:13:07,  1.11s/it]

train:   1%|          | 37/3515 [00:42<1:04:10,  1.11s/it]
overall:   1%|          | 38/4000 [00:45<1:14:23,  1.13s/it]

train:   1%|          | 38/3515 [00:43<1:05:16,  1.13s/it]
overall:   1%|          | 39/4000 [00:46<1:13:28,  1.11s/it]

train:   1%|          | 39/3515 [00:44<1:04:28,  1.11s/it]
overall:   1%|          | 40/4000 [00:47<1:06:09,  1.00s/it]

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overall:   1%|          | 41/4000 [00:48<1:09:26,  1.05s/it]

train:   1%|          | 41/3515 [00:46<1:00:56,  1.05s/it]
overall:   1%|          | 42/4000 [00:49<1:12:41,  1.10s/it]

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overall:   1%|          | 43/4000 [00:50<1:13:39,  1.12s/it]

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overall:   1%|          | 44/4000 [00:51<1:15:02,  1.14s/it]

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overall:   1%|          | 45/4000 [00:52<1:04:45,  1.02it/s]

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overall:   1%|          | 46/4000 [00:53<54:03,  1.22it/s]  

train:   1%|▏         | 46/3515 [00:51<47:25,  1.22it/s]
overall:   1%|          | 47/4000 [00:54<1:01:18,  1.07it/s]

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overall:   1%|          | 48/4000 [00:55<1:02:30,  1.05it/s]

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overall:   1%|          | 49/4000 [00:56<1:09:20,  1.05s/it]

train:   1%|▏         | 49/3515 [00:54<1:00:49,  1.05s/it]
overall:   1%|▏         | 50/4000 [00:57<1:10:37,  1.07s/it]

train:   1%|▏         | 50/3515 [00:55<1:01:57,  1.07s/it]
overall:   1%|▏         | 51/4000 [00:58<1:11:16,  1.08s/it]

train:   1%|▏         | 51/3515 [00:56<1:02:31,  1.08s/it]
overall:   1%|▏         | 52/4000 [00:59<1:14:02,  1.13s/it]

train:   1%|▏         | 52/3515 [00:58<1:04:57,  1.13s/it]
overall:   1%|▏         | 53/4000 [01:01<1:15:20,  1.15s/it]

train:   2%|▏         | 53/3515 [00:59<1:06:05,  1.15s/it]
overall:   1%|▏         | 54/4000 [01:02<1:15:39,  1.15s/it]

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overall:   1%|▏         | 55/4000 [01:03<1:17:56,  1.19s/it]

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overall:   1%|▏         | 56/4000 [01:04<1:18:18,  1.19s/it]

train:   2%|▏         | 56/3515 [01:02<1:08:40,  1.19s/it]
overall:   1%|▏         | 57/4000 [01:06<1:20:48,  1.23s/it]

train:   2%|▏         | 57/3515 [01:04<1:10:51,  1.23s/it]
overall:   1%|▏         | 58/4000 [01:07<1:21:40,  1.24s/it]

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overall:   1%|▏         | 59/4000 [01:08<1:20:38,  1.23s/it]

train:   2%|▏         | 59/3515 [01:06<1:10:43,  1.23s/it]
overall:   2%|▏         | 60/4000 [01:09<1:19:26,  1.21s/it]

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overall:   2%|▏         | 61/4000 [01:10<1:17:31,  1.18s/it]

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train:   2%|▏         | 62/3515 [01:09<1:03:23,  1.10s/it]
overall:   2%|▏         | 63/4000 [01:12<1:13:14,  1.12s/it]

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overall:   2%|▏         | 65/4000 [01:15<1:14:09,  1.13s/it]

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overall:   2%|▏         | 66/4000 [01:16<1:15:42,  1.15s/it]

train:   2%|▏         | 66/3515 [01:14<1:06:22,  1.15s/it]
overall:   2%|▏         | 67/4000 [01:17<1:16:08,  1.16s/it]

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overall:   2%|▏         | 68/4000 [01:18<1:17:56,  1.19s/it]

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overall:   2%|▏         | 70/4000 [01:20<1:06:53,  1.02s/it]

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overall:   2%|▏         | 72/4000 [01:22<1:12:28,  1.11s/it]

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train:   8%|▊         | 264/3515 [05:04<1:07:17,  1.24s/it]
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train:   8%|▊         | 265/3515 [05:05<1:10:00,  1.29s/it]
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train:   8%|▊         | 268/3515 [05:09<1:07:43,  1.25s/it]
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overall:   7%|▋         | 280/4000 [05:25<1:10:54,  1.14s/it]

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train:   8%|▊         | 282/3515 [05:25<1:05:33,  1.22s/it]
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train:   8%|▊         | 283/3515 [05:27<1:04:29,  1.20s/it]
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train:   8%|▊         | 284/3515 [05:28<1:01:21,  1.14s/it]
overall:   7%|▋         | 285/4000 [05:31<1:11:38,  1.16s/it]

train:   8%|▊         | 285/3515 [05:29<1:02:17,  1.16s/it]
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train:   8%|▊         | 286/3515 [05:29<54:27,  1.01s/it]  
overall:   7%|▋         | 287/4000 [05:32<1:02:13,  1.01s/it]

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train:  11%|█         | 385/3515 [07:19<1:06:00,  1.27s/it]
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overall:  10%|█         | 404/4000 [07:42<1:08:59,  1.15s/it]

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overall:  10%|█         | 407/4000 [07:45<1:04:48,  1.08s/it]

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overall:  11%|█         | 427/4000 [08:07<1:02:20,  1.05s/it]

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overall:  11%|█         | 431/4000 [08:11<49:57,  1.19it/s]  

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overall:  11%|█         | 446/4000 [08:28<55:36,  1.07it/s]  

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overall:  12%|█▏        | 464/4000 [08:48<1:09:59,  1.19s/it]

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overall:  12%|█▏        | 472/4000 [08:57<1:07:51,  1.15s/it]

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overall:  12%|█▏        | 473/4000 [08:59<1:09:50,  1.19s/it]

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overall:  12%|█▏        | 487/4000 [09:14<1:11:32,  1.22s/it]

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overall:  12%|█▏        | 488/4000 [09:14<56:37,  1.03it/s]  

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overall:  12%|█▏        | 489/4000 [09:15<56:00,  1.04it/s]

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overall:  12%|█▏        | 492/4000 [09:18<53:42,  1.09it/s]  

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overall:  12%|█▏        | 493/4000 [09:20<58:16,  1.00it/s]

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overall:  12%|█▏        | 494/4000 [09:21<1:01:08,  1.05s/it]

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overall:  12%|█▏        | 495/4000 [09:22<1:03:26,  1.09s/it]

train:  14%|█▍        | 495/3515 [09:20<54:39,  1.09s/it]
overall:  12%|█▏        | 496/4000 [09:23<1:04:16,  1.10s/it]

train:  14%|█▍        | 496/3515 [09:21<55:23,  1.10s/it]
overall:  12%|█▏        | 497/4000 [09:24<1:06:17,  1.14s/it]

train:  14%|█▍        | 497/3515 [09:22<57:06,  1.14s/it]
overall:  12%|█▏        | 498/4000 [09:25<1:06:36,  1.14s/it]

train:  14%|█▍        | 498/3515 [09:23<57:23,  1.14s/it]
overall:  12%|█▏        | 499/4000 [09:26<1:04:04,  1.10s/it]

train:  14%|█▍        | 499/3515 [09:24<55:12,  1.10s/it]
overall:  12%|█▎        | 500/4000 [09:27<55:30,  1.05it/s]  

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overall:  13%|█▎        | 502/4000 [09:29<1:03:57,  1.10s/it]

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overall:  13%|█▎        | 503/4000 [09:31<1:06:22,  1.14s/it]

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overall:  13%|█▎        | 504/4000 [09:32<1:07:44,  1.16s/it]

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overall:  13%|█▎        | 505/4000 [09:33<1:12:10,  1.24s/it]

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overall:  13%|█▎        | 507/4000 [09:36<1:08:32,  1.18s/it]

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overall:  13%|█▎        | 510/4000 [09:39<1:11:03,  1.22s/it]

train:  15%|█▍        | 510/3515 [09:37<1:01:10,  1.22s/it]
overall:  13%|█▎        | 511/4000 [09:41<1:11:33,  1.23s/it]

train:  15%|█▍        | 511/3515 [09:39<1:01:36,  1.23s/it]
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train:  15%|█▍        | 512/3515 [09:40<1:00:16,  1.20s/it]
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overall:  13%|█▎        | 515/4000 [09:45<1:07:02,  1.15s/it]

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train:  15%|█▍        | 517/3515 [09:46<58:58,  1.18s/it]
overall:  13%|█▎        | 518/4000 [09:48<57:33,  1.01it/s]  

train:  15%|█▍        | 518/3515 [09:46<49:32,  1.01it/s]
overall:  13%|█▎        | 519/4000 [09:49<1:02:38,  1.08s/it]

train:  15%|█▍        | 519/3515 [09:47<53:55,  1.08s/it]
overall:  13%|█▎        | 520/4000 [09:51<1:04:15,  1.11s/it]

train:  15%|█▍        | 520/3515 [09:49<55:18,  1.11s/it]
overall:  13%|█▎        | 521/4000 [09:52<1:06:38,  1.15s/it]

train:  15%|█▍        | 521/3515 [09:50<57:21,  1.15s/it]
overall:  13%|█▎        | 522/4000 [09:53<1:08:00,  1.17s/it]

train:  15%|█▍        | 522/3515 [09:51<58:31,  1.17s/it]
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train:  15%|█▍        | 523/3515 [09:52<59:16,  1.19s/it]
overall:  13%|█▎        | 524/4000 [09:56<1:10:06,  1.21s/it]

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overall:  13%|█▎        | 526/4000 [09:58<1:12:12,  1.25s/it]

train:  15%|█▍        | 526/3515 [09:56<1:02:07,  1.25s/it]
overall:  13%|█▎        | 527/4000 [09:59<1:11:48,  1.24s/it]

train:  15%|█▍        | 527/3515 [09:57<1:01:47,  1.24s/it]
overall:  13%|█▎        | 528/4000 [10:00<54:15,  1.07it/s]  

train:  15%|█▌        | 528/3515 [09:58<46:40,  1.07it/s]  
overall:  13%|█▎        | 529/4000 [10:01<1:00:54,  1.05s/it]

train:  15%|█▌        | 529/3515 [09:59<52:23,  1.05s/it]
overall:  13%|█▎        | 530/4000 [10:02<1:04:03,  1.11s/it]

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overall:  13%|█▎        | 531/4000 [10:03<55:04,  1.05it/s]  

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overall:  13%|█▎        | 532/4000 [10:04<59:20,  1.03s/it]

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overall:  13%|█▎        | 533/4000 [10:05<1:01:45,  1.07s/it]

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overall:  13%|█▎        | 534/4000 [10:06<54:53,  1.05it/s]  

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overall:  13%|█▎        | 535/4000 [10:07<1:01:24,  1.06s/it]

train:  15%|█▌        | 535/3515 [10:05<52:49,  1.06s/it]
overall:  13%|█▎        | 536/4000 [10:08<1:03:00,  1.09s/it]

train:  15%|█▌        | 536/3515 [10:06<54:11,  1.09s/it]
overall:  13%|█▎        | 537/4000 [10:10<1:07:13,  1.16s/it]

train:  15%|█▌        | 537/3515 [10:08<57:48,  1.16s/it]
overall:  13%|█▎        | 538/4000 [10:11<1:09:05,  1.20s/it]

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overall:  13%|█▎        | 539/4000 [10:12<1:01:28,  1.07s/it]

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overall:  14%|█▎        | 540/4000 [10:12<52:36,  1.10it/s]  

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overall:  14%|█▎        | 541/4000 [10:13<59:00,  1.02s/it]

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overall:  14%|█▎        | 542/4000 [10:15<1:01:59,  1.08s/it]

train:  15%|█▌        | 542/3515 [10:13<53:17,  1.08s/it]
overall:  14%|█▎        | 543/4000 [10:16<1:04:33,  1.12s/it]

train:  15%|█▌        | 543/3515 [10:14<55:30,  1.12s/it]
overall:  14%|█▎        | 544/4000 [10:17<1:04:55,  1.13s/it]

train:  15%|█▌        | 544/3515 [10:15<55:48,  1.13s/it]
overall:  14%|█▎        | 545/4000 [10:18<1:06:35,  1.16s/it]

train:  16%|█▌        | 545/3515 [10:16<57:14,  1.16s/it]
overall:  14%|█▎        | 546/4000 [10:19<1:06:13,  1.15s/it]

train:  16%|█▌        | 546/3515 [10:17<56:55,  1.15s/it]
overall:  14%|█▎        | 547/4000 [10:21<1:07:47,  1.18s/it]

train:  16%|█▌        | 547/3515 [10:19<58:16,  1.18s/it]
overall:  14%|█▎        | 548/4000 [10:22<1:07:45,  1.18s/it]

train:  16%|█▌        | 548/3515 [10:20<58:14,  1.18s/it]
overall:  14%|█▎        | 549/4000 [10:23<1:09:21,  1.21s/it]

train:  16%|█▌        | 549/3515 [10:21<59:36,  1.21s/it]
overall:  14%|█▍        | 550/4000 [10:24<1:10:08,  1.22s/it]

train:  16%|█▌        | 550/3515 [10:22<1:00:16,  1.22s/it]
overall:  14%|█▍        | 551/4000 [10:25<1:09:18,  1.21s/it]

train:  16%|█▌        | 551/3515 [10:24<59:33,  1.21s/it]  
overall:  14%|█▍        | 552/4000 [10:26<1:01:33,  1.07s/it]

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overall:  14%|█▍        | 553/4000 [10:27<1:04:04,  1.12s/it]

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overall:  14%|█▍        | 554/4000 [10:29<1:06:11,  1.15s/it]

train:  16%|█▌        | 554/3515 [10:27<56:52,  1.15s/it]
overall:  14%|█▍        | 555/4000 [10:29<52:52,  1.09it/s]  

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overall:  14%|█▍        | 556/4000 [10:30<57:57,  1.01s/it]

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overall:  14%|█▍        | 557/4000 [10:31<1:01:46,  1.08s/it]

train:  16%|█▌        | 557/3515 [10:30<53:04,  1.08s/it]
overall:  14%|█▍        | 558/4000 [10:33<1:04:41,  1.13s/it]

train:  16%|█▌        | 558/3515 [10:31<55:34,  1.13s/it]
overall:  14%|█▍        | 559/4000 [10:34<1:07:49,  1.18s/it]

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overall:  14%|█▍        | 560/4000 [10:35<1:04:41,  1.13s/it]

train:  16%|█▌        | 560/3515 [10:33<55:34,  1.13s/it]
overall:  14%|█▍        | 561/4000 [10:36<1:06:02,  1.15s/it]

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overall:  14%|█▍        | 562/4000 [10:37<1:01:23,  1.07s/it]

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overall:  14%|█▍        | 563/4000 [10:38<1:03:57,  1.12s/it]

train:  16%|█▌        | 563/3515 [10:36<54:56,  1.12s/it]
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overall:  14%|█▍        | 565/4000 [10:40<54:16,  1.05it/s]  

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overall:  14%|█▍        | 566/4000 [10:41<59:16,  1.04s/it]

train:  16%|█▌        | 566/3515 [10:39<50:53,  1.04s/it]
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overall:  14%|█▍        | 568/4000 [10:43<48:22,  1.18it/s]  

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overall:  14%|█▍        | 569/4000 [10:44<54:49,  1.04it/s]

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overall:  14%|█▍        | 570/4000 [10:45<59:14,  1.04s/it]

train:  16%|█▌        | 570/3515 [10:43<50:51,  1.04s/it]
overall:  14%|█▍        | 571/4000 [10:47<1:03:29,  1.11s/it]

train:  16%|█▌        | 571/3515 [10:45<54:30,  1.11s/it]
overall:  14%|█▍        | 572/4000 [10:48<1:05:56,  1.15s/it]

train:  16%|█▋        | 572/3515 [10:46<56:36,  1.15s/it]
overall:  14%|█▍        | 573/4000 [10:49<1:08:01,  1.19s/it]

train:  16%|█▋        | 573/3515 [10:47<58:23,  1.19s/it]
overall:  14%|█▍        | 574/4000 [10:50<1:08:34,  1.20s/it]

train:  16%|█▋        | 574/3515 [10:48<58:52,  1.20s/it]
overall:  14%|█▍        | 575/4000 [10:52<1:09:54,  1.22s/it]

train:  16%|█▋        | 575/3515 [10:50<1:00:00,  1.22s/it]
overall:  14%|█▍        | 576/4000 [10:53<1:09:49,  1.22s/it]

train:  16%|█▋        | 576/3515 [10:51<59:56,  1.22s/it]  
overall:  14%|█▍        | 577/4000 [10:54<1:09:39,  1.22s/it]

train:  16%|█▋        | 577/3515 [10:52<59:47,  1.22s/it]
overall:  14%|█▍        | 578/4000 [10:55<1:09:33,  1.22s/it]

train:  16%|█▋        | 578/3515 [10:53<59:41,  1.22s/it]
overall:  14%|█▍        | 579/4000 [10:56<59:36,  1.05s/it]  

train:  16%|█▋        | 579/3515 [10:54<51:09,  1.05s/it]
overall:  14%|█▍        | 580/4000 [10:57<1:01:49,  1.08s/it]

train:  17%|█▋        | 580/3515 [10:55<53:03,  1.08s/it]
overall:  15%|█▍        | 581/4000 [10:58<1:01:42,  1.08s/it]

train:  17%|█▋        | 581/3515 [10:56<52:57,  1.08s/it]
overall:  15%|█▍        | 582/4000 [10:59<1:02:57,  1.11s/it]

train:  17%|█▋        | 582/3515 [10:57<54:01,  1.11s/it]
overall:  15%|█▍        | 583/4000 [11:01<1:07:31,  1.19s/it]

train:  17%|█▋        | 583/3515 [10:59<57:56,  1.19s/it]
overall:  15%|█▍        | 584/4000 [11:02<1:05:08,  1.14s/it]

train:  17%|█▋        | 584/3515 [11:00<55:53,  1.14s/it]
overall:  15%|█▍        | 585/4000 [11:03<1:07:16,  1.18s/it]

train:  17%|█▋        | 585/3515 [11:01<57:43,  1.18s/it]
overall:  15%|█▍        | 586/4000 [11:04<1:08:37,  1.21s/it]

train:  17%|█▋        | 586/3515 [11:02<58:52,  1.21s/it]
overall:  15%|█▍        | 587/4000 [11:06<1:09:50,  1.23s/it]

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overall:  15%|█▍        | 588/4000 [11:07<1:09:35,  1.22s/it]

train:  17%|█▋        | 588/3515 [11:05<59:41,  1.22s/it]
overall:  15%|█▍        | 589/4000 [11:08<1:07:53,  1.19s/it]

train:  17%|█▋        | 589/3515 [11:06<58:13,  1.19s/it]
overall:  15%|█▍        | 590/4000 [11:08<58:27,  1.03s/it]  

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overall:  15%|█▍        | 591/4000 [11:10<1:02:40,  1.10s/it]

train:  17%|█▋        | 591/3515 [11:08<53:45,  1.10s/it]
overall:  15%|█▍        | 592/4000 [11:11<1:04:40,  1.14s/it]

train:  17%|█▋        | 592/3515 [11:09<55:27,  1.14s/it]
overall:  15%|█▍        | 593/4000 [11:12<1:04:15,  1.13s/it]

train:  17%|█▋        | 593/3515 [11:10<55:06,  1.13s/it]
overall:  15%|█▍        | 594/4000 [11:13<1:04:46,  1.14s/it]

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overall:  15%|█▍        | 595/4000 [11:14<1:05:50,  1.16s/it]

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overall:  15%|█▍        | 596/4000 [11:16<1:07:18,  1.19s/it]

train:  17%|█▋        | 596/3515 [11:14<57:43,  1.19s/it]
overall:  15%|█▍        | 597/4000 [11:16<58:05,  1.02s/it]  

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overall:  15%|█▍        | 598/4000 [11:18<1:01:49,  1.09s/it]

train:  17%|█▋        | 598/3515 [11:16<53:00,  1.09s/it]
overall:  15%|█▍        | 599/4000 [11:19<1:02:16,  1.10s/it]

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overall:  15%|█▌        | 600/4000 [11:20<59:19,  1.05s/it]  

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overall:  15%|█▌        | 601/4000 [11:21<58:03,  1.02s/it]

train:  17%|█▋        | 601/3515 [11:19<49:46,  1.02s/it]
overall:  15%|█▌        | 602/4000 [11:22<1:00:38,  1.07s/it]

train:  17%|█▋        | 602/3515 [11:20<51:58,  1.07s/it]
overall:  15%|█▌        | 603/4000 [11:23<1:03:06,  1.11s/it]

train:  17%|█▋        | 603/3515 [11:21<54:05,  1.11s/it]
overall:  15%|█▌        | 604/4000 [11:24<1:03:49,  1.13s/it]

train:  17%|█▋        | 604/3515 [11:22<54:42,  1.13s/it]
overall:  15%|█▌        | 605/4000 [11:25<1:06:27,  1.17s/it]

train:  17%|█▋        | 605/3515 [11:24<56:57,  1.17s/it]
overall:  15%|█▌        | 606/4000 [11:27<1:05:06,  1.15s/it]

train:  17%|█▋        | 606/3515 [11:25<55:48,  1.15s/it]
overall:  15%|█▌        | 607/4000 [11:28<1:01:42,  1.09s/it]

train:  17%|█▋        | 607/3515 [11:26<52:53,  1.09s/it]
overall:  15%|█▌        | 608/4000 [11:29<1:03:54,  1.13s/it]

train:  17%|█▋        | 608/3515 [11:27<54:46,  1.13s/it]
overall:  15%|█▌        | 609/4000 [11:30<1:04:56,  1.15s/it]

train:  17%|█▋        | 609/3515 [11:28<55:39,  1.15s/it]
overall:  15%|█▌        | 610/4000 [11:31<1:06:13,  1.17s/it]

train:  17%|█▋        | 610/3515 [11:29<56:45,  1.17s/it]
overall:  15%|█▌        | 611/4000 [11:32<54:04,  1.04it/s]  

train:  17%|█▋        | 611/3515 [11:30<46:19,  1.04it/s]
overall:  15%|█▌        | 612/4000 [11:32<48:24,  1.17it/s]

train:  17%|█▋        | 612/3515 [11:30<41:28,  1.17it/s]
overall:  15%|█▌        | 613/4000 [11:33<54:34,  1.03it/s]

train:  17%|█▋        | 613/3515 [11:32<46:45,  1.03it/s]
overall:  15%|█▌        | 614/4000 [11:35<59:55,  1.06s/it]

train:  17%|█▋        | 614/3515 [11:33<51:20,  1.06s/it]
overall:  15%|█▌        | 615/4000 [11:36<1:02:39,  1.11s/it]

train:  17%|█▋        | 615/3515 [11:34<53:40,  1.11s/it]
overall:  15%|█▌        | 616/4000 [11:37<1:02:51,  1.11s/it]

train:  18%|█▊        | 616/3515 [11:35<53:51,  1.11s/it]
overall:  15%|█▌        | 617/4000 [11:38<1:05:45,  1.17s/it]

train:  18%|█▊        | 617/3515 [11:36<56:19,  1.17s/it]
overall:  15%|█▌        | 618/4000 [11:40<1:06:37,  1.18s/it]

train:  18%|█▊        | 618/3515 [11:38<57:04,  1.18s/it]
overall:  15%|█▌        | 619/4000 [11:41<1:06:25,  1.18s/it]

train:  18%|█▊        | 619/3515 [11:39<56:53,  1.18s/it]
overall:  16%|█▌        | 620/4000 [11:42<1:07:51,  1.20s/it]

train:  18%|█▊        | 620/3515 [11:40<58:07,  1.20s/it]
overall:  16%|█▌        | 621/4000 [11:43<1:08:15,  1.21s/it]

train:  18%|█▊        | 621/3515 [11:41<58:27,  1.21s/it]
overall:  16%|█▌        | 622/4000 [11:44<1:08:29,  1.22s/it]

train:  18%|█▊        | 622/3515 [11:43<58:39,  1.22s/it]
overall:  16%|█▌        | 623/4000 [11:46<1:08:55,  1.22s/it]

train:  18%|█▊        | 623/3515 [11:44<59:01,  1.22s/it]
overall:  16%|█▌        | 624/4000 [11:47<1:08:55,  1.22s/it]

train:  18%|█▊        | 624/3515 [11:45<59:01,  1.22s/it]
overall:  16%|█▌        | 625/4000 [11:48<1:09:12,  1.23s/it]

train:  18%|█▊        | 625/3515 [11:46<59:15,  1.23s/it]
overall:  16%|█▌        | 626/4000 [11:49<1:08:19,  1.21s/it]

train:  18%|█▊        | 626/3515 [11:47<58:30,  1.21s/it]
overall:  16%|█▌        | 627/4000 [11:51<1:08:15,  1.21s/it]

train:  18%|█▊        | 627/3515 [11:49<58:26,  1.21s/it]
overall:  16%|█▌        | 628/4000 [11:52<1:08:13,  1.21s/it]

train:  18%|█▊        | 628/3515 [11:50<58:24,  1.21s/it]
overall:  16%|█▌        | 629/4000 [11:53<1:08:37,  1.22s/it]

train:  18%|█▊        | 629/3515 [11:51<58:45,  1.22s/it]
overall:  16%|█▌        | 630/4000 [11:54<1:04:48,  1.15s/it]

train:  18%|█▊        | 630/3515 [11:52<55:29,  1.15s/it]
overall:  16%|█▌        | 631/4000 [11:55<1:05:51,  1.17s/it]

train:  18%|█▊        | 631/3515 [11:53<56:23,  1.17s/it]
overall:  16%|█▌        | 632/4000 [11:56<1:05:37,  1.17s/it]

train:  18%|█▊        | 632/3515 [11:54<56:10,  1.17s/it]
overall:  16%|█▌        | 633/4000 [11:58<1:08:00,  1.21s/it]

train:  18%|█▊        | 633/3515 [11:56<58:12,  1.21s/it]
overall:  16%|█▌        | 634/4000 [11:59<1:09:11,  1.23s/it]

train:  18%|█▊        | 634/3515 [11:57<59:13,  1.23s/it]
overall:  16%|█▌        | 635/4000 [11:59<55:19,  1.01it/s]  

train:  18%|█▊        | 635/3515 [11:57<47:21,  1.01it/s]
overall:  16%|█▌        | 636/4000 [12:01<57:03,  1.02s/it]

train:  18%|█▊        | 636/3515 [11:59<48:49,  1.02s/it]
overall:  16%|█▌        | 637/4000 [12:02<1:00:31,  1.08s/it]

train:  18%|█▊        | 637/3515 [12:00<51:47,  1.08s/it]
overall:  16%|█▌        | 638/4000 [12:02<48:38,  1.15it/s]  

train:  18%|█▊        | 638/3515 [12:00<41:37,  1.15it/s]
overall:  16%|█▌        | 639/4000 [12:03<55:25,  1.01it/s]

train:  18%|█▊        | 639/3515 [12:01<47:25,  1.01it/s]
overall:  16%|█▌        | 640/4000 [12:04<55:44,  1.00it/s]

train:  18%|█▊        | 640/3515 [12:02<47:41,  1.00it/s]
overall:  16%|█▌        | 641/4000 [12:06<58:59,  1.05s/it]

train:  18%|█▊        | 641/3515 [12:04<50:28,  1.05s/it]
overall:  16%|█▌        | 642/4000 [12:07<1:00:50,  1.09s/it]

train:  18%|█▊        | 642/3515 [12:05<52:03,  1.09s/it]
overall:  16%|█▌        | 643/4000 [12:08<1:03:50,  1.14s/it]

train:  18%|█▊        | 643/3515 [12:06<54:37,  1.14s/it]
overall:  16%|█▌        | 644/4000 [12:09<1:05:28,  1.17s/it]

train:  18%|█▊        | 644/3515 [12:07<56:00,  1.17s/it]
overall:  16%|█▌        | 645/4000 [12:10<56:26,  1.01s/it]  

train:  18%|█▊        | 645/3515 [12:08<48:17,  1.01s/it]
overall:  16%|█▌        | 646/4000 [12:11<1:00:13,  1.08s/it]

train:  18%|█▊        | 646/3515 [12:09<51:30,  1.08s/it]
overall:  16%|█▌        | 647/4000 [12:12<1:00:01,  1.07s/it]

train:  18%|█▊        | 647/3515 [12:10<51:20,  1.07s/it]
overall:  16%|█▌        | 648/4000 [12:13<1:01:58,  1.11s/it]

train:  18%|█▊        | 648/3515 [12:11<53:00,  1.11s/it]
overall:  16%|█▌        | 649/4000 [12:15<1:05:47,  1.18s/it]

train:  18%|█▊        | 649/3515 [12:13<56:16,  1.18s/it]
overall:  16%|█▋        | 650/4000 [12:16<1:03:02,  1.13s/it]

train:  18%|█▊        | 650/3515 [12:14<53:55,  1.13s/it]
overall:  16%|█▋        | 651/4000 [12:17<1:05:24,  1.17s/it]

train:  19%|█▊        | 651/3515 [12:15<55:56,  1.17s/it]
overall:  16%|█▋        | 652/4000 [12:18<1:07:17,  1.21s/it]

train:  19%|█▊        | 652/3515 [12:16<57:32,  1.21s/it]
overall:  16%|█▋        | 653/4000 [12:20<1:08:18,  1.22s/it]

train:  19%|█▊        | 653/3515 [12:18<58:24,  1.22s/it]
overall:  16%|█▋        | 654/4000 [12:21<1:09:01,  1.24s/it]

train:  19%|█▊        | 654/3515 [12:19<59:01,  1.24s/it]
overall:  16%|█▋        | 655/4000 [12:22<1:05:36,  1.18s/it]

train:  19%|█▊        | 655/3515 [12:20<56:05,  1.18s/it]
overall:  16%|█▋        | 656/4000 [12:23<1:06:17,  1.19s/it]

train:  19%|█▊        | 656/3515 [12:21<56:40,  1.19s/it]
overall:  16%|█▋        | 657/4000 [12:24<1:06:08,  1.19s/it]

train:  19%|█▊        | 657/3515 [12:22<56:33,  1.19s/it]
overall:  16%|█▋        | 658/4000 [12:25<1:04:10,  1.15s/it]

train:  19%|█▊        | 658/3515 [12:23<54:51,  1.15s/it]
overall:  16%|█▋        | 659/4000 [12:26<54:35,  1.02it/s]  

train:  19%|█▊        | 659/3515 [12:24<46:39,  1.02it/s]
overall:  16%|█▋        | 660/4000 [12:27<59:50,  1.08s/it]

train:  19%|█▉        | 660/3515 [12:25<51:09,  1.08s/it]
overall:  17%|█▋        | 661/4000 [12:28<1:02:59,  1.13s/it]

train:  19%|█▉        | 661/3515 [12:27<53:50,  1.13s/it]
overall:  17%|█▋        | 662/4000 [12:30<1:01:50,  1.11s/it]

train:  19%|█▉        | 662/3515 [12:28<52:51,  1.11s/it]
overall:  17%|█▋        | 663/4000 [12:31<1:02:21,  1.12s/it]

train:  19%|█▉        | 663/3515 [12:29<53:17,  1.12s/it]
overall:  17%|█▋        | 664/4000 [12:32<1:02:22,  1.12s/it]

train:  19%|█▉        | 664/3515 [12:30<53:18,  1.12s/it]
overall:  17%|█▋        | 665/4000 [12:33<1:04:20,  1.16s/it]

train:  19%|█▉        | 665/3515 [12:31<54:59,  1.16s/it]
overall:  17%|█▋        | 666/4000 [12:34<1:04:41,  1.16s/it]

train:  19%|█▉        | 666/3515 [12:32<55:16,  1.16s/it]
overall:  17%|█▋        | 667/4000 [12:35<1:02:03,  1.12s/it]

train:  19%|█▉        | 667/3515 [12:33<53:01,  1.12s/it]
overall:  17%|█▋        | 668/4000 [12:36<1:03:29,  1.14s/it]

train:  19%|█▉        | 668/3515 [12:35<54:15,  1.14s/it]
overall:  17%|█▋        | 669/4000 [12:37<1:00:29,  1.09s/it]

train:  19%|█▉        | 669/3515 [12:35<51:40,  1.09s/it]
overall:  17%|█▋        | 670/4000 [12:38<52:10,  1.06it/s]  

train:  19%|█▉        | 670/3515 [12:36<44:34,  1.06it/s]
overall:  17%|█▋        | 671/4000 [12:39<47:27,  1.17it/s]

train:  19%|█▉        | 671/3515 [12:37<40:32,  1.17it/s]
overall:  17%|█▋        | 672/4000 [12:40<52:09,  1.06it/s]

train:  19%|█▉        | 672/3515 [12:38<44:33,  1.06it/s]
overall:  17%|█▋        | 673/4000 [12:41<59:24,  1.07s/it]

train:  19%|█▉        | 673/3515 [12:39<50:44,  1.07s/it]
overall:  17%|█▋        | 674/4000 [12:41<46:29,  1.19it/s]

train:  19%|█▉        | 674/3515 [12:40<39:42,  1.19it/s]
overall:  17%|█▋        | 675/4000 [12:43<52:48,  1.05it/s]

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overall:  17%|█▋        | 676/4000 [12:44<57:02,  1.03s/it]

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overall:  17%|█▋        | 677/4000 [12:45<1:00:59,  1.10s/it]

train:  19%|█▉        | 677/3515 [12:43<52:05,  1.10s/it]
overall:  17%|█▋        | 678/4000 [12:46<1:03:28,  1.15s/it]

train:  19%|█▉        | 678/3515 [12:44<54:12,  1.15s/it]
overall:  17%|█▋        | 679/4000 [12:48<1:07:04,  1.21s/it]

train:  19%|█▉        | 679/3515 [12:46<57:16,  1.21s/it]
overall:  17%|█▋        | 680/4000 [12:49<1:08:24,  1.24s/it]

train:  19%|█▉        | 680/3515 [12:47<58:25,  1.24s/it]
overall:  17%|█▋        | 681/4000 [12:50<1:09:20,  1.25s/it]

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overall:  17%|█▋        | 682/4000 [12:52<1:08:56,  1.25s/it]

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overall:  17%|█▋        | 683/4000 [12:53<1:08:47,  1.24s/it]

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overall:  17%|█▋        | 684/4000 [12:54<1:08:44,  1.24s/it]

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overall:  17%|█▋        | 685/4000 [12:55<1:06:45,  1.21s/it]

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overall:  17%|█▋        | 686/4000 [12:56<1:04:23,  1.17s/it]

train:  20%|█▉        | 686/3515 [12:54<54:57,  1.17s/it]
overall:  17%|█▋        | 687/4000 [12:57<49:43,  1.11it/s]  

train:  20%|█▉        | 687/3515 [12:55<42:26,  1.11it/s]
overall:  17%|█▋        | 688/4000 [12:58<53:46,  1.03it/s]

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train:  28%|██▊       | 999/3515 [18:51<50:40,  1.21s/it]train loss: 7.0292534828186035
train per: 1.0173971310865142
train loss: 4.238045692443848
train per: 0.870212289390508
train loss: 3.921997547149658
train per: 0.8946714031971581
train loss: 3.961409330368042
train per: 0.8973091707852828
train loss: 3.7222537994384766
train per: 0.8631645598245178
train loss: 3.7633414268493652
train per: 0.9499052581714827
train loss: 3.7301528453826904
train per: 0.9047028680056203
train loss: 3.5718491077423096
train per: 0.8953796777141328
train loss: 3.4876205921173096
train per: 0.9009373082538138
train loss: 3.441709518432617
train per: 0.9136375421311901
train loss: 3.4348487854003906
train per: 0.8900608044901778
train loss: 3.2988228797912598
train per: 0.9031603726334769
train loss: 3.2897160053253174
train per: 0.9083681792370037
train loss: 3.230276584625244
train per: 0.9065088203640448
train loss: 3.237309217453003
train per: 0.9002677540592989
train loss: 3.3968048095703125
train per: 0.9126516372862542
train loss: 3.379758834838867
train per: 0.9092491035646488
train loss: 3.239910840988159
train per: 0.9004928598508783
train loss: 3.164623975753784
train per: 0.8990427568602425
train loss: 3.1424996852874756
train per: 0.9277921575267907
train loss: 3.1920738220214844
train per: 0.9186510394727061
train loss: 3.337895631790161
train per: 0.9087206322660697
train loss: 3.2425551414489746
train per: 0.9151188234695435
train loss: 3.3446731567382812
train per: 0.9264092120480716
train loss: 3.29500150680542
train per: 0.9248976592841398
train loss: 3.203240156173706
train per: 0.9090483655848562
train loss: 3.3290271759033203
train per: 0.9062522177276275
train loss: 3.3275210857391357
train per: 0.9110358439533127
train loss: 3.2190651893615723
train per: 0.907799979713967
train loss: 3.3209290504455566
train per: 0.9025221882364739
train loss: 3.4757418632507324
train per: 0.9295835231010576
train loss: 3.5441524982452393
train per: 0.950671526286884
train loss: 3.4209816455841064
train per: 0.9586012464140865
train loss: 3.467860460281372
train per: 0.9475184622067767
train loss: 3.3686306476593018
train per: 0.9344281719512774
train loss: 3.445829391479492
train per: 0.9485518095926481
train loss: 3.181673526763916
train per: 0.936603579245526
train loss: 3.2313740253448486
train per: 0.9173429826828637
train loss: 3.171377658843994
train per: 0.9304650584431733
train loss: 3.1035819053649902
train per: 0.9350346890245397
train loss: 3.677407741546631
train per: 0.9118564553962227
train loss: 3.176842212677002
train per: 0.925280508390428
train loss: 3.1691136360168457
train per: 0.9053908733869459
train loss: 3.1873209476470947
train per: 0.9158653283732248
train loss: 3.2255873680114746
train per: 0.9094561036178604
train loss: 4.037815093994141
train per: 0.9199960758344983
train loss: 3.233691692352295
train per: 0.9260188512917882
train loss: 3.206240177154541
train per: 0.9349555451567618
train loss: 3.260002613067627
train per: 0.9308550766109103
train loss: 3.1655349731445312
train per: 0.9257694772063884
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|█▉        | 535/2703 [00:00<00:00, 5343.34it/s]


word -> phonemes:  41%|████      | 1106/2703 [00:00<00:00, 5557.70it/s]


word -> phonemes:  62%|██████▏   | 1682/2703 [00:00<00:00, 5645.55it/s]


word -> phonemes:  83%|████████▎ | 2249/2703 [00:00<00:00, 5652.65it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5439.17it/s]



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overall:  25%|██▍       | 999/4000 [21:37<1:00:26,  1.21s/it]

train:  28%|██▊       | 999/3515 [21:35<50:40,  1.21s/it]
                                                             

                                                         

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train:  29%|██▊       | 1004/3515 [21:40<9:02:53, 12.97s/it] 
overall:  25%|██▌       | 1005/4000 [21:43<7:50:42,  9.43s/it] 

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overall:  48%|████▊     | 1915/4000 [38:47<35:17,  1.02s/it]

train:  54%|█████▍    | 1915/3515 [38:45<27:04,  1.02s/it]
overall:  48%|████▊     | 1916/4000 [38:48<27:49,  1.25it/s]

train:  55%|█████▍    | 1916/3515 [38:46<21:21,  1.25it/s]
overall:  48%|████▊     | 1917/4000 [38:49<32:11,  1.08it/s]

train:  55%|█████▍    | 1917/3515 [38:47<24:42,  1.08it/s]
overall:  48%|████▊     | 1918/4000 [38:50<35:18,  1.02s/it]

train:  55%|█████▍    | 1918/3515 [38:48<27:04,  1.02s/it]
overall:  48%|████▊     | 1919/4000 [38:51<37:03,  1.07s/it]

train:  55%|█████▍    | 1919/3515 [38:49<28:25,  1.07s/it]
overall:  48%|████▊     | 1920/4000 [38:52<38:28,  1.11s/it]

train:  55%|█████▍    | 1920/3515 [38:51<29:30,  1.11s/it]
overall:  48%|████▊     | 1921/4000 [38:54<39:39,  1.14s/it]

train:  55%|█████▍    | 1921/3515 [38:52<30:24,  1.14s/it]
overall:  48%|████▊     | 1922/4000 [38:55<39:04,  1.13s/it]

train:  55%|█████▍    | 1922/3515 [38:53<29:57,  1.13s/it]
overall:  48%|████▊     | 1923/4000 [38:56<40:43,  1.18s/it]

train:  55%|█████▍    | 1923/3515 [38:54<31:12,  1.18s/it]
overall:  48%|████▊     | 1924/4000 [38:58<45:04,  1.30s/it]

train:  55%|█████▍    | 1924/3515 [38:56<34:32,  1.30s/it]
overall:  48%|████▊     | 1925/4000 [38:59<44:56,  1.30s/it]

train:  55%|█████▍    | 1925/3515 [38:57<34:26,  1.30s/it]
overall:  48%|████▊     | 1926/4000 [39:00<44:33,  1.29s/it]

train:  55%|█████▍    | 1926/3515 [38:58<34:08,  1.29s/it]
overall:  48%|████▊     | 1927/4000 [39:01<34:38,  1.00s/it]

train:  55%|█████▍    | 1927/3515 [38:59<26:32,  1.00s/it]
overall:  48%|████▊     | 1928/4000 [39:02<37:08,  1.08s/it]

train:  55%|█████▍    | 1928/3515 [39:00<28:26,  1.08s/it]
overall:  48%|████▊     | 1929/4000 [39:03<37:59,  1.10s/it]

train:  55%|█████▍    | 1929/3515 [39:01<29:05,  1.10s/it]
overall:  48%|████▊     | 1930/4000 [39:04<39:12,  1.14s/it]

train:  55%|█████▍    | 1930/3515 [39:02<30:01,  1.14s/it]
overall:  48%|████▊     | 1931/4000 [39:05<39:41,  1.15s/it]

train:  55%|█████▍    | 1931/3515 [39:03<30:23,  1.15s/it]
overall:  48%|████▊     | 1932/4000 [39:07<40:28,  1.17s/it]

train:  55%|█████▍    | 1932/3515 [39:05<30:58,  1.17s/it]
overall:  48%|████▊     | 1933/4000 [39:08<39:53,  1.16s/it]

train:  55%|█████▍    | 1933/3515 [39:06<30:31,  1.16s/it]
overall:  48%|████▊     | 1934/4000 [39:09<40:24,  1.17s/it]

train:  55%|█████▌    | 1934/3515 [39:07<30:55,  1.17s/it]
overall:  48%|████▊     | 1935/4000 [39:10<41:31,  1.21s/it]

train:  55%|█████▌    | 1935/3515 [39:08<31:46,  1.21s/it]
overall:  48%|████▊     | 1936/4000 [39:11<41:47,  1.21s/it]

train:  55%|█████▌    | 1936/3515 [39:09<31:57,  1.21s/it]
overall:  48%|████▊     | 1937/4000 [39:13<41:35,  1.21s/it]

train:  55%|█████▌    | 1937/3515 [39:11<31:49,  1.21s/it]
overall:  48%|████▊     | 1938/4000 [39:14<41:41,  1.21s/it]

train:  55%|█████▌    | 1938/3515 [39:12<31:53,  1.21s/it]
overall:  48%|████▊     | 1939/4000 [39:15<41:38,  1.21s/it]

train:  55%|█████▌    | 1939/3515 [39:13<31:50,  1.21s/it]
overall:  48%|████▊     | 1940/4000 [39:16<40:18,  1.17s/it]

train:  55%|█████▌    | 1940/3515 [39:14<30:49,  1.17s/it]
overall:  49%|████▊     | 1941/4000 [39:17<40:25,  1.18s/it]

train:  55%|█████▌    | 1941/3515 [39:15<30:54,  1.18s/it]
overall:  49%|████▊     | 1942/4000 [39:19<40:58,  1.19s/it]

train:  55%|█████▌    | 1942/3515 [39:17<31:19,  1.19s/it]
overall:  49%|████▊     | 1943/4000 [39:20<41:09,  1.20s/it]

train:  55%|█████▌    | 1943/3515 [39:18<31:27,  1.20s/it]
overall:  49%|████▊     | 1944/4000 [39:21<40:38,  1.19s/it]

train:  55%|█████▌    | 1944/3515 [39:19<31:03,  1.19s/it]
overall:  49%|████▊     | 1945/4000 [39:22<41:00,  1.20s/it]

train:  55%|█████▌    | 1945/3515 [39:20<31:19,  1.20s/it]
overall:  49%|████▊     | 1946/4000 [39:23<41:29,  1.21s/it]

train:  55%|█████▌    | 1946/3515 [39:21<31:41,  1.21s/it]
overall:  49%|████▊     | 1947/4000 [39:25<41:50,  1.22s/it]

train:  55%|█████▌    | 1947/3515 [39:23<31:57,  1.22s/it]
overall:  49%|████▊     | 1948/4000 [39:26<41:57,  1.23s/it]

train:  55%|█████▌    | 1948/3515 [39:24<32:02,  1.23s/it]
overall:  49%|████▊     | 1949/4000 [39:27<41:06,  1.20s/it]

train:  55%|█████▌    | 1949/3515 [39:25<31:23,  1.20s/it]
overall:  49%|████▉     | 1950/4000 [39:28<41:58,  1.23s/it]

train:  55%|█████▌    | 1950/3515 [39:26<32:02,  1.23s/it]
overall:  49%|████▉     | 1951/4000 [39:30<42:22,  1.24s/it]

train:  56%|█████▌    | 1951/3515 [39:28<32:20,  1.24s/it]
overall:  49%|████▉     | 1952/4000 [39:31<39:28,  1.16s/it]

train:  56%|█████▌    | 1952/3515 [39:29<30:07,  1.16s/it]
overall:  49%|████▉     | 1953/4000 [39:32<40:49,  1.20s/it]

train:  56%|█████▌    | 1953/3515 [39:30<31:09,  1.20s/it]
overall:  49%|████▉     | 1954/4000 [39:33<41:07,  1.21s/it]

train:  56%|█████▌    | 1954/3515 [39:31<31:22,  1.21s/it]
overall:  49%|████▉     | 1955/4000 [39:34<40:14,  1.18s/it]

train:  56%|█████▌    | 1955/3515 [39:32<30:41,  1.18s/it]
overall:  49%|████▉     | 1956/4000 [39:35<39:52,  1.17s/it]

train:  56%|█████▌    | 1956/3515 [39:33<30:24,  1.17s/it]
overall:  49%|████▉     | 1957/4000 [39:37<39:57,  1.17s/it]

train:  56%|█████▌    | 1957/3515 [39:35<30:28,  1.17s/it]
overall:  49%|████▉     | 1958/4000 [39:38<40:15,  1.18s/it]

train:  56%|█████▌    | 1958/3515 [39:36<30:41,  1.18s/it]
overall:  49%|████▉     | 1959/4000 [39:39<40:42,  1.20s/it]

train:  56%|█████▌    | 1959/3515 [39:37<31:01,  1.20s/it]
overall:  49%|████▉     | 1960/4000 [39:40<41:21,  1.22s/it]

train:  56%|█████▌    | 1960/3515 [39:38<31:31,  1.22s/it]
overall:  49%|████▉     | 1961/4000 [39:41<42:05,  1.24s/it]

train:  56%|█████▌    | 1961/3515 [39:40<32:05,  1.24s/it]
overall:  49%|████▉     | 1962/4000 [39:43<42:07,  1.24s/it]

train:  56%|█████▌    | 1962/3515 [39:41<32:06,  1.24s/it]
overall:  49%|████▉     | 1963/4000 [39:44<41:21,  1.22s/it]

train:  56%|█████▌    | 1963/3515 [39:42<31:30,  1.22s/it]
overall:  49%|████▉     | 1964/4000 [39:45<41:33,  1.22s/it]

train:  56%|█████▌    | 1964/3515 [39:43<31:39,  1.22s/it]
overall:  49%|████▉     | 1965/4000 [39:46<38:42,  1.14s/it]

train:  56%|█████▌    | 1965/3515 [39:44<29:28,  1.14s/it]
overall:  49%|████▉     | 1966/4000 [39:47<39:45,  1.17s/it]

train:  56%|█████▌    | 1966/3515 [39:45<30:16,  1.17s/it]
overall:  49%|████▉     | 1967/4000 [39:48<39:23,  1.16s/it]

train:  56%|█████▌    | 1967/3515 [39:47<29:59,  1.16s/it]
overall:  49%|████▉     | 1968/4000 [39:49<32:51,  1.03it/s]

train:  56%|█████▌    | 1968/3515 [39:47<25:01,  1.03it/s]
overall:  49%|████▉     | 1969/4000 [39:50<34:52,  1.03s/it]

train:  56%|█████▌    | 1969/3515 [39:48<26:32,  1.03s/it]
overall:  49%|████▉     | 1970/4000 [39:51<36:57,  1.09s/it]

train:  56%|█████▌    | 1970/3515 [39:49<28:08,  1.09s/it]
overall:  49%|████▉     | 1971/4000 [39:53<37:58,  1.12s/it]

train:  56%|█████▌    | 1971/3515 [39:51<28:53,  1.12s/it]
overall:  49%|████▉     | 1972/4000 [39:54<42:53,  1.27s/it]

train:  56%|█████▌    | 1972/3515 [39:52<32:38,  1.27s/it]
overall:  49%|████▉     | 1973/4000 [39:55<42:55,  1.27s/it]

train:  56%|█████▌    | 1973/3515 [39:54<32:39,  1.27s/it]
overall:  49%|████▉     | 1974/4000 [39:57<42:25,  1.26s/it]

train:  56%|█████▌    | 1974/3515 [39:55<32:15,  1.26s/it]
overall:  49%|████▉     | 1975/4000 [39:57<34:33,  1.02s/it]

train:  56%|█████▌    | 1975/3515 [39:55<26:17,  1.02s/it]
overall:  49%|████▉     | 1976/4000 [39:58<36:38,  1.09s/it]

train:  56%|█████▌    | 1976/3515 [39:56<27:51,  1.09s/it]
overall:  49%|████▉     | 1977/4000 [40:00<38:13,  1.13s/it]

train:  56%|█████▌    | 1977/3515 [39:58<29:03,  1.13s/it]
overall:  49%|████▉     | 1978/4000 [40:01<38:34,  1.14s/it]

train:  56%|█████▋    | 1978/3515 [39:59<29:19,  1.14s/it]
overall:  49%|████▉     | 1979/4000 [40:02<39:26,  1.17s/it]

train:  56%|█████▋    | 1979/3515 [40:00<29:58,  1.17s/it]
overall:  50%|████▉     | 1980/4000 [40:03<39:28,  1.17s/it]

train:  56%|█████▋    | 1980/3515 [40:01<29:59,  1.17s/it]
overall:  50%|████▉     | 1981/4000 [40:04<38:29,  1.14s/it]

train:  56%|█████▋    | 1981/3515 [40:02<29:15,  1.14s/it]
overall:  50%|████▉     | 1982/4000 [40:06<39:22,  1.17s/it]

train:  56%|█████▋    | 1982/3515 [40:04<29:54,  1.17s/it]
overall:  50%|████▉     | 1983/4000 [40:07<40:43,  1.21s/it]

train:  56%|█████▋    | 1983/3515 [40:05<30:55,  1.21s/it]
overall:  50%|████▉     | 1984/4000 [40:08<41:19,  1.23s/it]

train:  56%|█████▋    | 1984/3515 [40:06<31:22,  1.23s/it]
overall:  50%|████▉     | 1985/4000 [40:09<41:23,  1.23s/it]

train:  56%|█████▋    | 1985/3515 [40:07<31:25,  1.23s/it]
overall:  50%|████▉     | 1986/4000 [40:11<41:24,  1.23s/it]

train:  57%|█████▋    | 1986/3515 [40:09<31:25,  1.23s/it]
overall:  50%|████▉     | 1987/4000 [40:12<41:20,  1.23s/it]

train:  57%|█████▋    | 1987/3515 [40:10<31:22,  1.23s/it]
overall:  50%|████▉     | 1988/4000 [40:13<40:22,  1.20s/it]

train:  57%|█████▋    | 1988/3515 [40:11<30:38,  1.20s/it]
overall:  50%|████▉     | 1989/4000 [40:14<40:14,  1.20s/it]

train:  57%|█████▋    | 1989/3515 [40:12<30:32,  1.20s/it]
overall:  50%|████▉     | 1990/4000 [40:15<40:02,  1.20s/it]

train:  57%|█████▋    | 1990/3515 [40:13<30:23,  1.20s/it]
overall:  50%|████▉     | 1991/4000 [40:17<40:07,  1.20s/it]

train:  57%|█████▋    | 1991/3515 [40:15<30:26,  1.20s/it]
overall:  50%|████▉     | 1992/4000 [40:18<40:32,  1.21s/it]

train:  57%|█████▋    | 1992/3515 [40:16<30:44,  1.21s/it]
overall:  50%|████▉     | 1993/4000 [40:19<41:11,  1.23s/it]

train:  57%|█████▋    | 1993/3515 [40:17<31:14,  1.23s/it]
overall:  50%|████▉     | 1994/4000 [40:20<39:09,  1.17s/it]

train:  57%|█████▋    | 1994/3515 [40:18<29:41,  1.17s/it]
overall:  50%|████▉     | 1995/4000 [40:21<38:54,  1.16s/it]

train:  57%|█████▋    | 1995/3515 [40:19<29:30,  1.16s/it]
overall:  50%|████▉     | 1996/4000 [40:23<42:32,  1.27s/it]

train:  57%|█████▋    | 1996/3515 [40:21<32:14,  1.27s/it]
overall:  50%|████▉     | 1997/4000 [40:24<42:35,  1.28s/it]

train:  57%|█████▋    | 1997/3515 [40:22<32:16,  1.28s/it]
overall:  50%|████▉     | 1998/4000 [40:25<42:16,  1.27s/it]

train:  57%|█████▋    | 1998/3515 [40:23<32:02,  1.27s/it]
overall:  50%|████▉     | 1999/4000 [40:27<41:56,  1.26s/it]

train:  57%|█████▋    | 1999/3515 [40:25<31:46,  1.26s/it]dev loss: 3.595309257507324
dev per: 0.9181685744016649
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.2704460620880127
train per: 0.9284541062801932
train loss: 3.280696153640747
train per: 0.9147275441043333
train loss: 3.2937633991241455
train per: 0.9205989583333334
train loss: 3.3297762870788574
train per: 0.9168992075008372
train loss: 3.1974546909332275
train per: 0.9139536005402016
train loss: 3.146376371383667
train per: 0.9016499011835765
train loss: 3.1248371601104736
train per: 0.9057960345504515
train loss: 3.2105560302734375
train per: 0.9204660049891195
train loss: 3.1598799228668213
train per: 0.9123664375051769
train loss: 3.3180832862854004
train per: 0.9200726858506686
train loss: 3.2122294902801514
train per: 0.9158295007836387
train loss: 3.265087842941284
train per: 0.9155205816929369
train loss: 3.3930087089538574
train per: 0.9151237483468733
train loss: 3.427013397216797
train per: 0.9267115061253903
train loss: 3.352252244949341
train per: 0.9261800155064258
train loss: 3.3765811920166016
train per: 0.9284353110836424
train loss: 3.228480577468872
train per: 0.9202356357138869
train loss: 3.1672449111938477
train per: 0.9113975336152541
train loss: 3.2198688983917236
train per: 0.9159050804603756
train loss: 3.135023593902588
train per: 0.9002122118259863
train loss: 3.208101272583008
train per: 0.9141085197069105
train loss: 3.1587071418762207
train per: 0.9062640296779376
train loss: 3.1741976737976074
train per: 0.9229091752696903
train loss: 3.169407367706299
train per: 0.9034807293931102
train loss: 3.1414427757263184
train per: 0.9140235446847431
train loss: 3.1370348930358887
train per: 0.9136594237580167
train loss: 3.605740785598755
train per: 0.9238325281803542
train loss: 3.1179778575897217
train per: 0.9257239091091897
train loss: 3.128736734390259
train per: 0.9200221903749248
train loss: 3.097623825073242
train per: 0.9219984705582462
train loss: 3.0827269554138184
train per: 0.917793845943295
train loss: 3.1017954349517822
train per: 0.9204972467090492
train loss: 3.119982957839966
train per: 0.9198223931672276
train loss: 3.098585605621338
train per: 0.908273139216654
train loss: 3.4006850719451904
train per: 0.9085975435589831
train loss: 3.180807590484619
train per: 0.9119169713178105
train loss: 3.649378538131714
train per: 0.9103849049501224
train loss: 3.2629196643829346
train per: 0.9135430779266396
train loss: 3.300691604614258
train per: 0.9339104780789785
train loss: 3.33215069770813
train per: 0.9230252184520401
train loss: 3.284472703933716
train per: 0.9132903735525764
train loss: 3.335509777069092
train per: 0.9240793486754215
train loss: 3.289720058441162
train per: 0.9223551196076469
train loss: 3.6741554737091064
train per: 0.9193152846910283
train loss: 3.2794909477233887
train per: 0.9357896574949485
train loss: 3.191558361053467
train per: 0.9121553398058252
train loss: 3.3523879051208496
train per: 0.9226947348591881
train loss: 3.0675978660583496
train per: 0.9252272296913463
train loss: 3.0926249027252197
train per: 0.9147191881826588
train loss: 3.085466146469116
train per: 0.930567200707018
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  23%|██▎       | 620/2703 [00:00<00:00, 6198.45it/s]


word -> phonemes:  46%|████▌     | 1240/2703 [00:00<00:00, 6140.35it/s]


word -> phonemes:  69%|██████▊   | 1855/2703 [00:00<00:00, 6013.82it/s]


word -> phonemes:  91%|█████████ | 2457/2703 [00:00<00:00, 5993.55it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5966.25it/s]



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


dev:   0%|          | 1/2703 [00:01<52:17,  1.16s/it]


dev:   0%|          | 2/2703 [00:01<27:18,  1.65it/s]


dev:   0%|          | 3/2703 [00:01<19:22,  2.32it/s]


dev:   0%|          | 4/2703 [00:01<15:29,  2.90it/s]


dev:   0%|          | 5/2703 [00:02<13:32,  3.32it/s]


dev:   0%|          | 6/2703 [00:02<12:17,  3.66it/s]


dev:   0%|          | 7/2703 [00:02<11:27,  3.92it/s]


dev:   0%|          | 8/2703 [00:02<10:38,  4.22it/s]


dev:   0%|          | 9/2703 [00:02<10:18,  4.35it/s]


dev:   0%|          | 10/2703 [00:03<09:54,  4.53it/s]


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train:  85%|████████▌ | 2999/3515 [1:01:53<09:35,  1.11s/it]dev loss: 3.3701131343841553
dev per: 0.9225962539021852
train loss: 3.083061933517456
train per: 0.9237143914169441
train loss: 3.0698599815368652
train per: 0.9359718040972171
train loss: 3.090043544769287
train per: 0.9190688698588831
train loss: 3.073007822036743
train per: 0.9233136572322285
train loss: 3.166294574737549
train per: 0.9272560764318598
train loss: 3.3229591846466064
train per: 0.930302780751599
train loss: 3.31331205368042
train per: 0.8986285208671287
train loss: 3.2343742847442627
train per: 0.9408985086324136
train loss: 3.126141309738159
train per: 0.9303747769185009
train loss: 3.093487501144409
train per: 0.9343838857415728
train loss: 3.0902743339538574
train per: 0.9293416572077186
train loss: 3.333049774169922
train per: 0.9360428386630968
train loss: 3.1812288761138916
train per: 0.906539720618737
train loss: 3.1738767623901367
train per: 0.9084544703194127
train loss: 3.1787266731262207
train per: 0.9165875854685257
train loss: 3.0894370079040527
train per: 0.9279173399931443
train loss: 3.342973232269287
train per: 0.9218399401645475
train loss: 3.1923561096191406
train per: 0.9270215843662252
train loss: 3.1487925052642822
train per: 0.9306792426913303
train loss: 3.1812455654144287
train per: 0.9230045967404931
train loss: 3.1676034927368164
train per: 0.9297648898929963
train loss: 3.1087818145751953
train per: 0.9257587966693527
train loss: 3.518028736114502
train per: 0.9314371328687959
train loss: 3.111701726913452
train per: 0.9198119169805598
train loss: 3.3684754371643066
train per: 0.9271588470683756
train loss: 3.8940441608428955
train per: 0.9236525079190882
train loss: 3.5605697631835938
train per: 0.9273885672388946
train loss: 3.4690442085266113
train per: 0.9400608293563463
train loss: 3.637467622756958
train per: 0.931102086542501
train loss: 3.71537709236145
train per: 0.9330351657533237
train loss: 3.4238224029541016
train per: 0.9370177514792899
train loss: 4.809042930603027
train per: 0.906645817044566
train loss: 4.593294143676758
train per: 0.8809559077667506
train loss: 4.211506366729736
train per: 0.868809261052679
train loss: 3.9735941886901855
train per: 0.9155418949619136
train loss: 4.469870567321777
train per: 0.9383675438126373
train loss: 3.881197452545166
train per: 0.9610132494035231
train loss: 4.09332275390625
train per: 0.9461950137057825
train loss: 4.047502517700195
train per: 0.9568243694457287
train loss: 4.107111930847168
train per: 0.9251537604726621
train loss: 3.854355573654175
train per: 0.9467189592500478
train loss: 4.368868827819824
train per: 0.9310613740934259
train loss: 3.9437313079833984
train per: 0.9546499315616849
train loss: 3.879910945892334
train per: 0.9259214207517333
train loss: 3.958299160003662
train per: 0.9385962591602952
train loss: 3.6252853870391846
train per: 0.9405594405594405
train loss: 3.5731449127197266
train per: 0.9518692180965657
train loss: 3.490994930267334
train per: 0.9356953182938207
train loss: 3.404170513153076
train per: 0.9318654923939151
train loss: 3.3197028636932373
train per: 0.9329014564024967
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  23%|██▎       | 612/2703 [00:00<00:00, 6115.69it/s]


word -> phonemes:  45%|████▌     | 1224/2703 [00:00<00:00, 5916.91it/s]


word -> phonemes:  68%|██████▊   | 1842/2703 [00:00<00:00, 6033.89it/s]


word -> phonemes:  90%|█████████ | 2446/2703 [00:00<00:00, 6029.19it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5969.85it/s]



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overall:  77%|███████▋  | 3094/4000 [1:06:32<15:32,  1.03s/it]

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overall:  77%|███████▋  | 3097/4000 [1:06:35<15:11,  1.01s/it]

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overall:  87%|████████▋ | 3497/4000 [1:14:07<10:19,  1.23s/it]

train:  99%|█████████▉| 3497/3515 [1:14:05<00:22,  1.23s/it]
overall:  87%|████████▋ | 3498/4000 [1:14:08<10:28,  1.25s/it]

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overall:  88%|████████▊ | 3512/4000 [1:14:23<08:17,  1.02s/it]

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overall:  88%|████████▊ | 3514/4000 [1:14:26<09:00,  1.11s/it]

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overall:  88%|████████▊ | 3515/4000 [1:14:27<09:22,  1.16s/it]

train: 100%|██████████| 3515/3515 [1:14:25<00:00,  1.16s/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 [1:14:25<00:00,  1.27s/it]
dev loss: 3.665754795074463
dev per: 0.9352393340270552
train loss: 3.2543933391571045
train per: 0.9370095390254217
train loss: 3.213099241256714
train per: 0.9349936682144365
train loss: 3.162745237350464
train per: 0.9373450742463231
train loss: 3.1716911792755127
train per: 0.9280441428677951
train loss: 3.2577438354492188
train per: 0.9378834137016007
train loss: 3.184115409851074
train per: 0.9305201125989845
train loss: 3.185497522354126
train per: 0.9275530280570304
train loss: 3.1367197036743164
train per: 0.9383683905827865
train loss: 3.096945285797119
train per: 0.9218904840553932
train loss: 3.113780975341797
train per: 0.9121169214523986
train loss: 3.1150400638580322
train per: 0.9193595035889885
train loss: 3.121859073638916
train per: 0.9347178201428639
train loss: 3.113032341003418
train per: 0.9197118112956155
train loss: 3.119274854660034
train per: 0.932149910882027
train loss: 3.108013868331909
train per: 0.9211264230077891
train loss: 3.0679726600646973
train per: 0.918432123334257
train loss: 3.118325710296631
train per: 0.9228790017760372
train loss: 3.097166061401367
train per: 0.9213997440692981
train loss: 3.1175806522369385
train per: 0.9331673306772909
train loss: 3.0850160121917725
train per: 0.9226061663757998
train loss: 3.143963098526001
train per: 0.9272437599575146
train loss: 3.6404948234558105
train per: 0.9175436259491142
train loss: 3.5065865516662598
train per: 0.9015127052336124
train loss: 3.246335506439209
train per: 0.9332157523428452
train loss: 3.1939401626586914
train per: 0.9182522251762802
[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, 4666.86it/s]

word -> phonemes:  27%|██▋       | 962/3515 [00:00<00:00, 4833.03it/s]

word -> phonemes:  41%|████      | 1446/3515 [00:00<00:00, 4780.05it/s]

word -> phonemes:  55%|█████▍    | 1926/3515 [00:00<00:00, 4785.53it/s]

word -> phonemes:  68%|██████▊   | 2407/3515 [00:00<00:00, 4790.90it/s]

word -> phonemes:  82%|████████▏ | 2892/3515 [00:00<00:00, 4808.92it/s]

word -> phonemes:  96%|█████████▌| 3373/3515 [00:00<00:00, 4520.17it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4646.97it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:14:32<17:20,  2.15s/it]

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overall:  88%|████████▊ | 3519/4000 [1:14:35<12:32,  1.57s/it]

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overall:  88%|████████▊ | 3520/4000 [1:14:37<11:43,  1.47s/it]

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overall:  88%|████████▊ | 3521/4000 [1:14:38<11:27,  1.43s/it]

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overall:  88%|████████▊ | 3522/4000 [1:14:39<10:45,  1.35s/it]

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overall:  88%|████████▊ | 3523/4000 [1:14:40<08:31,  1.07s/it]

train:   0%|          | 8/3515 [00:10<59:24,  1.02s/it]  
overall:  88%|████████▊ | 3524/4000 [1:14:41<08:52,  1.12s/it]

train:   0%|          | 9/3515 [00:11<1:03:08,  1.08s/it]
overall:  88%|████████▊ | 3525/4000 [1:14:42<08:52,  1.12s/it]

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overall:  88%|████████▊ | 3526/4000 [1:14:43<09:13,  1.17s/it]

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overall:  88%|████████▊ | 3527/4000 [1:14:44<09:05,  1.15s/it]

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overall:  88%|████████▊ | 3528/4000 [1:14:46<09:19,  1.19s/it]

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overall:  88%|████████▊ | 3529/4000 [1:14:47<09:24,  1.20s/it]

train:   0%|          | 14/3515 [00:17<1:09:34,  1.19s/it]
overall:  88%|████████▊ | 3530/4000 [1:14:48<09:22,  1.20s/it]

train:   0%|          | 15/3515 [00:18<1:09:32,  1.19s/it]
overall:  88%|████████▊ | 3531/4000 [1:14:49<09:23,  1.20s/it]

train:   0%|          | 16/3515 [00:20<1:09:54,  1.20s/it]
overall:  88%|████████▊ | 3532/4000 [1:14:50<09:26,  1.21s/it]

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overall:  88%|████████▊ | 3533/4000 [1:14:52<09:29,  1.22s/it]

train:   1%|          | 18/3515 [00:22<1:10:57,  1.22s/it]
overall:  88%|████████▊ | 3534/4000 [1:14:53<09:28,  1.22s/it]

train:   1%|          | 19/3515 [00:23<1:11:04,  1.22s/it]
overall:  88%|████████▊ | 3535/4000 [1:14:54<09:37,  1.24s/it]

train:   1%|          | 20/3515 [00:25<1:12:18,  1.24s/it]
overall:  88%|████████▊ | 3536/4000 [1:14:55<09:41,  1.25s/it]

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overall:  88%|████████▊ | 3538/4000 [1:14:58<09:36,  1.25s/it]

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overall:  89%|████████▊ | 3541/4000 [1:15:02<09:41,  1.27s/it]

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overall:  89%|████████▊ | 3542/4000 [1:15:03<09:16,  1.21s/it]

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overall:  89%|████████▊ | 3543/4000 [1:15:04<09:14,  1.21s/it]

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overall:  89%|████████▊ | 3544/4000 [1:15:05<08:58,  1.18s/it]

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overall:  89%|████████▊ | 3545/4000 [1:15:07<09:18,  1.23s/it]

train:   1%|          | 30/3515 [00:37<1:11:18,  1.23s/it]
overall:  89%|████████▊ | 3546/4000 [1:15:08<09:02,  1.19s/it]

train:   1%|          | 31/3515 [00:38<1:09:21,  1.19s/it]
overall:  89%|████████▊ | 3547/4000 [1:15:08<07:16,  1.04it/s]

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overall:  89%|████████▊ | 3548/4000 [1:15:09<07:59,  1.06s/it]

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overall:  89%|████████▊ | 3549/4000 [1:15:11<08:27,  1.13s/it]

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overall:  89%|████████▉ | 3550/4000 [1:15:12<08:36,  1.15s/it]

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overall:  89%|████████▉ | 3551/4000 [1:15:13<08:35,  1.15s/it]

train:   1%|          | 36/3515 [00:43<1:06:36,  1.15s/it]
overall:  89%|████████▉ | 3552/4000 [1:15:14<08:48,  1.18s/it]

train:   1%|          | 37/3515 [00:45<1:08:19,  1.18s/it]
overall:  89%|████████▉ | 3553/4000 [1:15:15<08:56,  1.20s/it]

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overall:  89%|████████▉ | 3554/4000 [1:15:17<09:10,  1.23s/it]

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overall:  89%|████████▉ | 3555/4000 [1:15:18<09:08,  1.23s/it]

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overall:  89%|████████▉ | 3556/4000 [1:15:19<09:07,  1.23s/it]

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overall:  89%|████████▉ | 3557/4000 [1:15:21<09:08,  1.24s/it]

train:   1%|          | 42/3515 [00:51<1:11:43,  1.24s/it]
overall:  89%|████████▉ | 3558/4000 [1:15:22<08:36,  1.17s/it]

train:   1%|          | 43/3515 [00:52<1:07:39,  1.17s/it]
overall:  89%|████████▉ | 3559/4000 [1:15:23<08:34,  1.17s/it]

train:   1%|▏         | 44/3515 [00:53<1:07:32,  1.17s/it]
overall:  89%|████████▉ | 3560/4000 [1:15:24<08:50,  1.21s/it]

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overall:  89%|████████▉ | 3561/4000 [1:15:25<08:51,  1.21s/it]

train:   1%|▏         | 46/3515 [00:56<1:09:57,  1.21s/it]
overall:  89%|████████▉ | 3562/4000 [1:15:26<07:32,  1.03s/it]

train:   1%|▏         | 47/3515 [00:56<59:39,  1.03s/it]  
overall:  89%|████████▉ | 3563/4000 [1:15:27<07:09,  1.02it/s]

train:   1%|▏         | 48/3515 [00:57<56:46,  1.02it/s]
overall:  89%|████████▉ | 3564/4000 [1:15:28<07:52,  1.08s/it]

train:   1%|▏         | 49/3515 [00:59<1:02:38,  1.08s/it]
overall:  89%|████████▉ | 3565/4000 [1:15:29<08:21,  1.15s/it]

train:   1%|▏         | 50/3515 [01:00<1:06:33,  1.15s/it]
overall:  89%|████████▉ | 3566/4000 [1:15:30<08:19,  1.15s/it]

train:   1%|▏         | 51/3515 [01:01<1:06:23,  1.15s/it]
overall:  89%|████████▉ | 3567/4000 [1:15:32<08:35,  1.19s/it]

train:   1%|▏         | 52/3515 [01:02<1:08:38,  1.19s/it]
overall:  89%|████████▉ | 3568/4000 [1:15:33<08:25,  1.17s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:34,  1.17s/it]
overall:  89%|████████▉ | 3569/4000 [1:15:34<08:39,  1.21s/it]

train:   2%|▏         | 54/3515 [01:05<1:09:35,  1.21s/it]
overall:  89%|████████▉ | 3570/4000 [1:15:35<08:26,  1.18s/it]

train:   2%|▏         | 55/3515 [01:06<1:07:58,  1.18s/it]
overall:  89%|████████▉ | 3571/4000 [1:15:37<08:38,  1.21s/it]

train:   2%|▏         | 56/3515 [01:07<1:09:42,  1.21s/it]
overall:  89%|████████▉ | 3572/4000 [1:15:38<08:47,  1.23s/it]

train:   2%|▏         | 57/3515 [01:08<1:11:03,  1.23s/it]
overall:  89%|████████▉ | 3573/4000 [1:15:39<08:53,  1.25s/it]

train:   2%|▏         | 58/3515 [01:10<1:11:57,  1.25s/it]
overall:  89%|████████▉ | 3574/4000 [1:15:40<08:57,  1.26s/it]

train:   2%|▏         | 59/3515 [01:11<1:12:42,  1.26s/it]
overall:  89%|████████▉ | 3575/4000 [1:15:42<08:59,  1.27s/it]

train:   2%|▏         | 60/3515 [01:12<1:13:02,  1.27s/it]
overall:  89%|████████▉ | 3576/4000 [1:15:43<09:01,  1.28s/it]

train:   2%|▏         | 61/3515 [01:14<1:13:27,  1.28s/it]
overall:  89%|████████▉ | 3577/4000 [1:15:44<09:02,  1.28s/it]

train:   2%|▏         | 62/3515 [01:15<1:13:48,  1.28s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:46<08:53,  1.26s/it]

train:   2%|▏         | 63/3515 [01:16<1:12:45,  1.26s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:47<08:47,  1.25s/it]

train:   2%|▏         | 64/3515 [01:17<1:12:00,  1.25s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:48<08:38,  1.23s/it]

train:   2%|▏         | 65/3515 [01:18<1:10:56,  1.23s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:49<08:28,  1.21s/it]

train:   2%|▏         | 66/3515 [01:20<1:09:43,  1.21s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:50<08:26,  1.21s/it]

train:   2%|▏         | 67/3515 [01:21<1:09:40,  1.21s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:52<08:34,  1.23s/it]

train:   2%|▏         | 68/3515 [01:22<1:10:55,  1.23s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:53<08:24,  1.21s/it]

train:   2%|▏         | 69/3515 [01:23<1:09:37,  1.21s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:54<07:39,  1.11s/it]

train:   2%|▏         | 70/3515 [01:24<1:03:33,  1.11s/it]
overall:  90%|████████▉ | 3586/4000 [1:15:55<07:36,  1.10s/it]

train:   2%|▏         | 71/3515 [01:25<1:03:17,  1.10s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:56<07:58,  1.16s/it]

train:   2%|▏         | 72/3515 [01:27<1:06:30,  1.16s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:57<08:16,  1.21s/it]

train:   2%|▏         | 73/3515 [01:28<1:09:08,  1.21s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:59<08:26,  1.23s/it]

train:   2%|▏         | 74/3515 [01:29<1:10:42,  1.23s/it]
overall:  90%|████████▉ | 3590/4000 [1:16:00<08:35,  1.26s/it]

train:   2%|▏         | 75/3515 [01:30<1:12:03,  1.26s/it]
overall:  90%|████████▉ | 3591/4000 [1:16:01<08:35,  1.26s/it]

train:   2%|▏         | 76/3515 [01:32<1:12:13,  1.26s/it]
overall:  90%|████████▉ | 3592/4000 [1:16:02<08:24,  1.24s/it]

train:   2%|▏         | 77/3515 [01:33<1:10:49,  1.24s/it]
overall:  90%|████████▉ | 3593/4000 [1:16:04<08:36,  1.27s/it]

train:   2%|▏         | 78/3515 [01:34<1:12:45,  1.27s/it]
overall:  90%|████████▉ | 3594/4000 [1:16:05<08:17,  1.22s/it]

train:   2%|▏         | 79/3515 [01:35<1:10:07,  1.22s/it]
overall:  90%|████████▉ | 3595/4000 [1:16:06<08:04,  1.20s/it]

train:   2%|▏         | 80/3515 [01:36<1:08:28,  1.20s/it]
overall:  90%|████████▉ | 3596/4000 [1:16:07<07:58,  1.19s/it]

train:   2%|▏         | 81/3515 [01:38<1:07:51,  1.19s/it]
overall:  90%|████████▉ | 3597/4000 [1:16:08<08:09,  1.21s/it]

train:   2%|▏         | 82/3515 [01:39<1:09:29,  1.21s/it]
overall:  90%|████████▉ | 3598/4000 [1:16:10<08:17,  1.24s/it]

train:   2%|▏         | 83/3515 [01:40<1:10:47,  1.24s/it]
overall:  90%|████████▉ | 3599/4000 [1:16:11<08:22,  1.25s/it]

train:   2%|▏         | 84/3515 [01:41<1:11:37,  1.25s/it]
overall:  90%|█████████ | 3600/4000 [1:16:12<08:35,  1.29s/it]

train:   2%|▏         | 85/3515 [01:43<1:13:38,  1.29s/it]
overall:  90%|█████████ | 3601/4000 [1:16:14<08:35,  1.29s/it]

train:   2%|▏         | 86/3515 [01:44<1:13:53,  1.29s/it]
overall:  90%|█████████ | 3602/4000 [1:16:15<08:19,  1.26s/it]

train:   2%|▏         | 87/3515 [01:45<1:11:45,  1.26s/it]
overall:  90%|█████████ | 3603/4000 [1:16:16<08:16,  1.25s/it]

train:   3%|▎         | 88/3515 [01:47<1:11:22,  1.25s/it]
overall:  90%|█████████ | 3604/4000 [1:16:17<08:00,  1.21s/it]

train:   3%|▎         | 89/3515 [01:48<1:09:17,  1.21s/it]
overall:  90%|█████████ | 3605/4000 [1:16:18<08:01,  1.22s/it]

train:   3%|▎         | 90/3515 [01:49<1:09:31,  1.22s/it]
overall:  90%|█████████ | 3606/4000 [1:16:20<07:53,  1.20s/it]

train:   3%|▎         | 91/3515 [01:50<1:08:32,  1.20s/it]
overall:  90%|█████████ | 3607/4000 [1:16:21<07:53,  1.21s/it]

train:   3%|▎         | 92/3515 [01:51<1:08:47,  1.21s/it]
overall:  90%|█████████ | 3608/4000 [1:16:22<08:02,  1.23s/it]

train:   3%|▎         | 93/3515 [01:53<1:10:14,  1.23s/it]
overall:  90%|█████████ | 3609/4000 [1:16:22<06:22,  1.02it/s]

train:   3%|▎         | 94/3515 [01:53<55:46,  1.02it/s]  
overall:  90%|█████████ | 3610/4000 [1:16:23<06:20,  1.03it/s]

train:   3%|▎         | 95/3515 [01:54<55:35,  1.03it/s]
overall:  90%|█████████ | 3611/4000 [1:16:25<06:40,  1.03s/it]

train:   3%|▎         | 96/3515 [01:55<58:37,  1.03s/it]
overall:  90%|█████████ | 3612/4000 [1:16:26<06:55,  1.07s/it]

train:   3%|▎         | 97/3515 [01:56<1:01:03,  1.07s/it]
overall:  90%|█████████ | 3613/4000 [1:16:27<07:06,  1.10s/it]

train:   3%|▎         | 98/3515 [01:57<1:02:45,  1.10s/it]
overall:  90%|█████████ | 3614/4000 [1:16:28<07:14,  1.12s/it]

train:   3%|▎         | 99/3515 [01:59<1:04:01,  1.12s/it]
overall:  90%|█████████ | 3615/4000 [1:16:29<07:19,  1.14s/it]

train:   3%|▎         | 100/3515 [02:00<1:05:02,  1.14s/it]
overall:  90%|█████████ | 3616/4000 [1:16:31<07:28,  1.17s/it]

train:   3%|▎         | 101/3515 [02:01<1:06:31,  1.17s/it]
overall:  90%|█████████ | 3617/4000 [1:16:32<07:39,  1.20s/it]

train:   3%|▎         | 102/3515 [02:02<1:08:15,  1.20s/it]
overall:  90%|█████████ | 3618/4000 [1:16:33<07:48,  1.23s/it]

train:   3%|▎         | 103/3515 [02:04<1:09:43,  1.23s/it]
overall:  90%|█████████ | 3619/4000 [1:16:34<06:37,  1.04s/it]

train:   3%|▎         | 104/3515 [02:04<59:15,  1.04s/it]  
overall:  90%|█████████ | 3620/4000 [1:16:34<05:41,  1.11it/s]

train:   3%|▎         | 105/3515 [02:05<51:04,  1.11it/s]
overall:  91%|█████████ | 3621/4000 [1:16:35<04:28,  1.41it/s]

train:   3%|▎         | 106/3515 [02:05<40:11,  1.41it/s]
overall:  91%|█████████ | 3622/4000 [1:16:36<05:23,  1.17it/s]

train:   3%|▎         | 107/3515 [02:06<48:35,  1.17it/s]
overall:  91%|█████████ | 3623/4000 [1:16:37<06:12,  1.01it/s]

train:   3%|▎         | 108/3515 [02:08<56:09,  1.01it/s]
overall:  91%|█████████ | 3624/4000 [1:16:38<06:33,  1.05s/it]

train:   3%|▎         | 109/3515 [02:09<59:27,  1.05s/it]
overall:  91%|█████████ | 3625/4000 [1:16:39<05:29,  1.14it/s]

train:   3%|▎         | 110/3515 [02:09<49:51,  1.14it/s]
overall:  91%|█████████ | 3626/4000 [1:16:40<06:16,  1.01s/it]

train:   3%|▎         | 111/3515 [02:11<57:09,  1.01s/it]
overall:  91%|█████████ | 3627/4000 [1:16:41<06:32,  1.05s/it]

train:   3%|▎         | 112/3515 [02:12<59:38,  1.05s/it]
overall:  91%|█████████ | 3628/4000 [1:16:42<06:58,  1.12s/it]

train:   3%|▎         | 113/3515 [02:13<1:03:44,  1.12s/it]
overall:  91%|█████████ | 3629/4000 [1:16:44<07:13,  1.17s/it]

train:   3%|▎         | 114/3515 [02:14<1:06:10,  1.17s/it]
overall:  91%|█████████ | 3630/4000 [1:16:44<05:34,  1.10it/s]

train:   3%|▎         | 115/3515 [02:15<51:18,  1.10it/s]  
overall:  91%|█████████ | 3631/4000 [1:16:45<06:08,  1.00it/s]

train:   3%|▎         | 116/3515 [02:16<56:31,  1.00it/s]
overall:  91%|█████████ | 3632/4000 [1:16:46<06:30,  1.06s/it]

train:   3%|▎         | 117/3515 [02:17<1:00:05,  1.06s/it]
overall:  91%|█████████ | 3633/4000 [1:16:47<06:14,  1.02s/it]

train:   3%|▎         | 118/3515 [02:18<57:49,  1.02s/it]  
overall:  91%|█████████ | 3634/4000 [1:16:49<06:32,  1.07s/it]

train:   3%|▎         | 119/3515 [02:19<1:00:41,  1.07s/it]
overall:  91%|█████████ | 3635/4000 [1:16:50<06:20,  1.04s/it]

train:   3%|▎         | 120/3515 [02:20<58:58,  1.04s/it]  
overall:  91%|█████████ | 3636/4000 [1:16:51<06:44,  1.11s/it]

train:   3%|▎         | 121/3515 [02:21<1:02:55,  1.11s/it]
overall:  91%|█████████ | 3637/4000 [1:16:52<06:40,  1.10s/it]

train:   3%|▎         | 122/3515 [02:22<1:02:26,  1.10s/it]
overall:  91%|█████████ | 3638/4000 [1:16:53<06:50,  1.14s/it]

train:   3%|▎         | 123/3515 [02:24<1:04:10,  1.14s/it]
overall:  91%|█████████ | 3639/4000 [1:16:54<07:06,  1.18s/it]

train:   4%|▎         | 124/3515 [02:25<1:06:43,  1.18s/it]
overall:  91%|█████████ | 3640/4000 [1:16:55<06:54,  1.15s/it]

train:   4%|▎         | 125/3515 [02:26<1:05:04,  1.15s/it]
overall:  91%|█████████ | 3641/4000 [1:16:56<05:40,  1.05it/s]

train:   4%|▎         | 126/3515 [02:26<53:37,  1.05it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:57<06:11,  1.04s/it]

train:   4%|▎         | 127/3515 [02:28<58:39,  1.04s/it]
overall:  91%|█████████ | 3643/4000 [1:16:58<06:10,  1.04s/it]

train:   4%|▎         | 128/3515 [02:29<58:39,  1.04s/it]
overall:  91%|█████████ | 3644/4000 [1:16:59<06:30,  1.10s/it]

train:   4%|▎         | 129/3515 [02:30<1:01:56,  1.10s/it]
overall:  91%|█████████ | 3645/4000 [1:17:00<06:18,  1.07s/it]

train:   4%|▎         | 130/3515 [02:31<1:00:12,  1.07s/it]
overall:  91%|█████████ | 3646/4000 [1:17:02<06:40,  1.13s/it]

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overall:  99%|█████████▉| 3974/4000 [1:23:18<00:29,  1.12s/it]

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overall:  99%|█████████▉| 3975/4000 [1:23:20<00:28,  1.15s/it]

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overall:  99%|█████████▉| 3976/4000 [1:23:21<00:27,  1.13s/it]

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overall:  99%|█████████▉| 3977/4000 [1:23:22<00:26,  1.16s/it]

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overall: 100%|█████████▉| 3999/4000 [1:23:47<00:01,  1.11s/it]

train:  14%|█▍        | 484/3515 [09:17<56:04,  1.11s/it]train loss: 3.249750852584839
train per: 0.916113835208153
train loss: 4.142592906951904
train per: 0.8950528682838141
train loss: 4.206198692321777
train per: 0.9123275593818069
train loss: 4.096555233001709
train per: 0.9147826086956522
train loss: 3.808785915374756
train per: 0.9577070954211814
train loss: 3.6991207599639893
train per: 0.9474469275231069
train loss: 3.732489824295044
train per: 0.9532489585820797
train loss: 3.5378081798553467
train per: 0.9547166190967309
train loss: 3.5906002521514893
train per: 0.9421702404158544
train loss: 3.517770767211914
train per: 0.9437082936129647
train loss: 3.454338550567627
train per: 0.9394854534556688
train loss: 3.391846179962158
train per: 0.9596383107698525
train loss: 3.3545138835906982
train per: 0.9457641744073905
train loss: 3.2883141040802
train per: 0.9576167223919371
train loss: 3.5873496532440186
train per: 0.9668441552038654
train loss: 3.2418289184570312
train per: 0.9544109928908822
train loss: 3.215712785720825
train per: 0.953857315598549
train loss: 3.1673367023468018
train per: 0.9363142361924393
train loss: 3.158271312713623
train per: 0.9296012646153008
train loss: 3.1082210540771484
train per: 0.9312880002035158
train loss: 3.0898354053497314
train per: 0.9411602831911541
train loss: 3.1207263469696045
train per: 0.932804205798285
train loss: 3.1094417572021484
train per: 0.9269832199075276
train loss: 3.087838649749756
train per: 0.9250565681179601
train loss: 3.090967893600464
train per: 0.9325438230383973
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 593/2703 [00:00<00:00, 5923.09it/s]


word -> phonemes:  44%|████▍     | 1186/2703 [00:00<00:00, 5819.04it/s]


word -> phonemes:  67%|██████▋   | 1798/2703 [00:00<00:00, 5954.96it/s]


word -> phonemes:  89%|████████▊ | 2394/2703 [00:00<00:00, 5779.71it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5775.69it/s]



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overall: 100%|█████████▉| 3999/4000 [1:26:15<00:01,  1.11s/it]

train:  14%|█▍        | 484/3515 [11:45<56:04,  1.11s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:26:15<00:01,  1.11s/it]

train:  14%|█▍        | 484/3515 [11:45<56:04,  1.11s/it]
overall: 100%|██████████| 4000/4000 [1:26:15<00:00, 45.31s/it]

train:  14%|█▍        | 485/3515 [11:46<38:08:03, 45.31s/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 [11:46<1:13:33,  1.46s/it] 

overall: 100%|██████████| 4000/4000 [1:26:15<00:00,  1.29s/it]
dev loss: 3.4646658897399902
dev per: 0.9642924037460978
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt