/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")
2023-10-08 15:28:31 | 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.original1', 'encoder.pos_conv_embed.conv.parametrizations.weight.original0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - Take a list of 25 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
m-a-p/MERT-v1-330M {'model_config': None, 'refresh': False}

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


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

word -> phonemes:   5%|▍         | 172/3515 [00:00<00:01, 1713.43it/s]

word -> phonemes:  10%|▉         | 344/3515 [00:00<00:02, 1346.26it/s]

word -> phonemes:  14%|█▍        | 484/3515 [00:00<00:02, 1335.21it/s]

word -> phonemes:  18%|█▊        | 621/3515 [00:00<00:02, 1229.21it/s]

word -> phonemes:  22%|██▏       | 759/3515 [00:00<00:02, 1274.75it/s]

word -> phonemes:  25%|██▌       | 891/3515 [00:00<00:02, 1285.98it/s]

word -> phonemes:  29%|██▉       | 1027/3515 [00:00<00:01, 1307.95it/s]

word -> phonemes:  33%|███▎      | 1159/3515 [00:00<00:01, 1240.44it/s]

word -> phonemes:  37%|███▋      | 1312/3515 [00:01<00:01, 1323.83it/s]

word -> phonemes:  41%|████      | 1446/3515 [00:01<00:01, 1207.69it/s]

word -> phonemes:  46%|████▌     | 1624/3515 [00:01<00:01, 1364.56it/s]

word -> phonemes:  51%|█████     | 1782/3515 [00:01<00:01, 1410.21it/s]

word -> phonemes:  55%|█████▍    | 1926/3515 [00:01<00:01, 1414.73it/s]

word -> phonemes:  59%|█████▉    | 2070/3515 [00:01<00:01, 1375.77it/s]

word -> phonemes:  63%|██████▎   | 2218/3515 [00:01<00:00, 1403.22it/s]

word -> phonemes:  67%|██████▋   | 2360/3515 [00:01<00:00, 1242.06it/s]

word -> phonemes:  71%|███████   | 2490/3515 [00:01<00:00, 1256.25it/s]

word -> phonemes:  75%|███████▍  | 2628/3515 [00:02<00:00, 1263.63it/s]

word -> phonemes:  78%|███████▊  | 2757/3515 [00:02<00:00, 1243.12it/s]

word -> phonemes:  83%|████████▎ | 2917/3515 [00:02<00:00, 1334.60it/s]

word -> phonemes:  87%|████████▋ | 3067/3515 [00:02<00:00, 1381.34it/s]

word -> phonemes:  91%|█████████ | 3207/3515 [00:02<00:00, 1349.31it/s]

word -> phonemes:  96%|█████████▌| 3381/3515 [00:02<00:00, 1461.15it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:02<00:00, 1346.39it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:08<9:13:25,  8.30s/it]

train:   0%|          | 1/3515 [00:02<2:45:43,  2.83s/it]
overall:   0%|          | 2/4000 [00:09<4:34:30,  4.12s/it]

train:   0%|          | 2/3515 [00:04<1:49:14,  1.87s/it]
overall:   0%|          | 3/4000 [00:10<3:11:26,  2.87s/it]

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overall:   0%|          | 4/4000 [00:12<2:28:40,  2.23s/it]

train:   0%|          | 4/3515 [00:06<1:27:14,  1.49s/it]
overall:   0%|          | 5/4000 [00:13<2:05:46,  1.89s/it]

train:   0%|          | 5/3515 [00:07<1:22:47,  1.42s/it]
overall:   0%|          | 6/4000 [00:14<1:49:22,  1.64s/it]

train:   0%|          | 6/3515 [00:09<1:17:48,  1.33s/it]
overall:   0%|          | 7/4000 [00:16<1:46:04,  1.59s/it]

train:   0%|          | 7/3515 [00:10<1:20:52,  1.38s/it]
overall:   0%|          | 8/4000 [00:17<1:38:37,  1.48s/it]

train:   0%|          | 8/3515 [00:11<1:18:15,  1.34s/it]
overall:   0%|          | 9/4000 [00:18<1:34:51,  1.43s/it]

train:   0%|          | 9/3515 [00:13<1:17:33,  1.33s/it]
overall:   0%|          | 10/4000 [00:19<1:14:55,  1.13s/it]

train:   0%|          | 10/3515 [00:13<1:01:50,  1.06s/it]
overall:   0%|          | 11/4000 [00:19<58:04,  1.14it/s]  

train:   0%|          | 11/3515 [00:13<48:15,  1.21it/s]  
overall:   0%|          | 12/4000 [00:20<1:08:05,  1.02s/it]

train:   0%|          | 12/3515 [00:15<57:53,  1.01it/s]
overall:   0%|          | 13/4000 [00:21<1:10:22,  1.06s/it]

train:   0%|          | 13/3515 [00:16<1:00:28,  1.04s/it]
overall:   0%|          | 14/4000 [00:23<1:14:20,  1.12s/it]

train:   0%|          | 14/3515 [00:17<1:04:21,  1.10s/it]
overall:   0%|          | 15/4000 [00:24<1:14:03,  1.11s/it]

train:   0%|          | 15/3515 [00:18<1:04:23,  1.10s/it]
overall:   0%|          | 16/4000 [00:25<1:17:09,  1.16s/it]

train:   0%|          | 16/3515 [00:20<1:07:18,  1.15s/it]
overall:   0%|          | 17/4000 [00:26<1:17:52,  1.17s/it]

train:   0%|          | 17/3515 [00:21<1:08:04,  1.17s/it]
overall:   0%|          | 18/4000 [00:28<1:20:38,  1.22s/it]

train:   1%|          | 18/3515 [00:22<1:10:36,  1.21s/it]
overall:   0%|          | 19/4000 [00:28<1:05:18,  1.02it/s]

train:   1%|          | 19/3515 [00:23<57:12,  1.02it/s]  
overall:   0%|          | 20/4000 [00:29<1:11:23,  1.08s/it]

train:   1%|          | 20/3515 [00:24<1:02:35,  1.07s/it]
overall:   1%|          | 21/4000 [00:31<1:16:56,  1.16s/it]

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overall:   1%|          | 22/4000 [00:32<1:20:34,  1.22s/it]

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overall:   1%|          | 23/4000 [00:33<1:22:30,  1.24s/it]

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overall:   1%|          | 24/4000 [00:34<1:20:33,  1.22s/it]

train:   1%|          | 24/3515 [00:29<1:10:42,  1.22s/it]
overall:   1%|          | 25/4000 [00:36<1:20:28,  1.21s/it]

train:   1%|          | 25/3515 [00:30<1:10:38,  1.21s/it]
overall:   1%|          | 26/4000 [00:37<1:22:23,  1.24s/it]

train:   1%|          | 26/3515 [00:31<1:12:18,  1.24s/it]
overall:   1%|          | 27/4000 [00:38<1:23:35,  1.26s/it]

train:   1%|          | 27/3515 [00:33<1:13:22,  1.26s/it]
overall:   1%|          | 28/4000 [00:39<1:22:05,  1.24s/it]

train:   1%|          | 28/3515 [00:34<1:12:03,  1.24s/it]
overall:   1%|          | 29/4000 [00:41<1:21:52,  1.24s/it]

train:   1%|          | 29/3515 [00:35<1:11:51,  1.24s/it]
overall:   1%|          | 30/4000 [00:42<1:24:10,  1.27s/it]

train:   1%|          | 30/3515 [00:37<1:13:53,  1.27s/it]
overall:   1%|          | 31/4000 [00:43<1:24:33,  1.28s/it]

train:   1%|          | 31/3515 [00:38<1:14:13,  1.28s/it]
overall:   1%|          | 32/4000 [00:45<1:24:16,  1.27s/it]

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overall:   1%|          | 33/4000 [00:46<1:24:59,  1.29s/it]

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overall:   1%|          | 34/4000 [00:46<1:05:06,  1.02it/s]

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overall:   1%|          | 35/4000 [00:47<1:11:27,  1.08s/it]

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overall:   1%|          | 36/4000 [00:49<1:17:26,  1.17s/it]

train:   1%|          | 36/3515 [00:43<1:07:57,  1.17s/it]
overall:   1%|          | 37/4000 [00:50<1:17:43,  1.18s/it]

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overall:   1%|          | 38/4000 [00:51<1:18:28,  1.19s/it]

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overall:   1%|          | 39/4000 [00:52<1:17:53,  1.18s/it]

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overall:   1%|          | 40/4000 [00:53<1:09:57,  1.06s/it]

train:   1%|          | 40/3515 [00:48<1:01:23,  1.06s/it]
overall:   1%|          | 41/4000 [00:54<1:13:09,  1.11s/it]

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overall:   1%|          | 42/4000 [00:56<1:16:17,  1.16s/it]

train:   1%|          | 42/3515 [00:50<1:06:56,  1.16s/it]
overall:   1%|          | 43/4000 [00:57<1:17:00,  1.17s/it]

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overall:   1%|          | 45/4000 [00:59<1:06:58,  1.02s/it]

train:   1%|▏         | 45/3515 [00:53<58:45,  1.02s/it]  
overall:   1%|          | 46/4000 [00:59<55:57,  1.18it/s]  

train:   1%|▏         | 46/3515 [00:54<49:05,  1.18it/s]
overall:   1%|          | 47/4000 [01:00<1:03:51,  1.03it/s]

train:   1%|▏         | 47/3515 [00:55<56:01,  1.03it/s]
overall:   1%|          | 48/4000 [01:01<1:05:19,  1.01it/s]

train:   1%|▏         | 48/3515 [00:56<57:18,  1.01it/s]
overall:   1%|          | 49/4000 [01:03<1:10:38,  1.07s/it]

train:   1%|▏         | 49/3515 [00:57<1:01:57,  1.07s/it]
overall:   1%|▏         | 50/4000 [01:04<1:14:24,  1.13s/it]

train:   1%|▏         | 50/3515 [00:59<1:05:16,  1.13s/it]
overall:   1%|▏         | 51/4000 [01:05<1:15:00,  1.14s/it]

train:   1%|▏         | 51/3515 [01:00<1:05:48,  1.14s/it]
overall:   1%|▏         | 52/4000 [01:06<1:17:38,  1.18s/it]

train:   1%|▏         | 52/3515 [01:01<1:08:06,  1.18s/it]
overall:   1%|▏         | 53/4000 [01:08<1:19:12,  1.20s/it]

train:   2%|▏         | 53/3515 [01:02<1:09:28,  1.20s/it]
overall:   1%|▏         | 54/4000 [01:09<1:19:39,  1.21s/it]

train:   2%|▏         | 54/3515 [01:03<1:09:52,  1.21s/it]
overall:   1%|▏         | 55/4000 [01:10<1:21:07,  1.23s/it]

train:   2%|▏         | 55/3515 [01:05<1:11:09,  1.23s/it]
overall:   1%|▏         | 56/4000 [01:11<1:21:35,  1.24s/it]

train:   2%|▏         | 56/3515 [01:06<1:11:33,  1.24s/it]
overall:   1%|▏         | 57/4000 [01:13<1:27:35,  1.33s/it]

train:   2%|▏         | 57/3515 [01:08<1:16:48,  1.33s/it]
overall:   1%|▏         | 58/4000 [01:14<1:27:38,  1.33s/it]

train:   2%|▏         | 58/3515 [01:09<1:16:51,  1.33s/it]
overall:   1%|▏         | 59/4000 [01:16<1:26:02,  1.31s/it]

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train:   2%|▏         | 60/3515 [01:12<1:16:29,  1.33s/it]
overall:   2%|▏         | 61/4000 [01:18<1:24:14,  1.28s/it]

train:   2%|▏         | 61/3515 [01:13<1:13:52,  1.28s/it]
overall:   2%|▏         | 62/4000 [01:19<1:17:52,  1.19s/it]

train:   2%|▏         | 62/3515 [01:14<1:08:16,  1.19s/it]
overall:   2%|▏         | 63/4000 [01:20<1:18:07,  1.19s/it]

train:   2%|▏         | 63/3515 [01:15<1:08:29,  1.19s/it]
overall:   2%|▏         | 64/4000 [01:21<1:14:34,  1.14s/it]

train:   2%|▏         | 64/3515 [01:16<1:05:22,  1.14s/it]
overall:   2%|▏         | 65/4000 [01:23<1:18:32,  1.20s/it]

train:   2%|▏         | 65/3515 [01:17<1:08:51,  1.20s/it]
overall:   2%|▏         | 66/4000 [01:24<1:19:59,  1.22s/it]

train:   2%|▏         | 66/3515 [01:18<1:10:07,  1.22s/it]
overall:   2%|▏         | 67/4000 [01:25<1:20:27,  1.23s/it]

train:   2%|▏         | 67/3515 [01:20<1:10:31,  1.23s/it]
overall:   2%|▏         | 68/4000 [01:26<1:20:58,  1.24s/it]

train:   2%|▏         | 68/3515 [01:21<1:10:58,  1.24s/it]
overall:   2%|▏         | 69/4000 [01:27<1:05:05,  1.01it/s]

train:   2%|▏         | 69/3515 [01:21<57:03,  1.01it/s]  
overall:   2%|▏         | 70/4000 [01:28<1:09:29,  1.06s/it]

train:   2%|▏         | 70/3515 [01:23<1:00:54,  1.06s/it]
overall:   2%|▏         | 71/4000 [01:29<1:15:15,  1.15s/it]

train:   2%|▏         | 71/3515 [01:24<1:05:58,  1.15s/it]
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train:   2%|▏         | 72/3515 [01:25<1:06:49,  1.16s/it]
overall:   2%|▏         | 73/4000 [01:32<1:14:43,  1.14s/it]

train:   2%|▏         | 73/3515 [01:26<1:05:30,  1.14s/it]
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overall:   2%|▏         | 79/4000 [01:39<1:20:47,  1.24s/it]

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overall:   2%|▏         | 88/4000 [01:51<1:23:52,  1.29s/it]

train:   3%|▎         | 88/3515 [01:46<1:13:28,  1.29s/it]
overall:   2%|▏         | 89/4000 [01:52<1:24:15,  1.29s/it]

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overall:   2%|▏         | 90/4000 [01:54<1:22:25,  1.26s/it]

train:   3%|▎         | 90/3515 [01:48<1:12:11,  1.26s/it]
overall:   2%|▏         | 91/4000 [01:55<1:21:11,  1.25s/it]

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overall:   2%|▏         | 92/4000 [01:56<1:18:53,  1.21s/it]

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overall:   2%|▏         | 93/4000 [01:57<1:24:01,  1.29s/it]

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overall:  11%|█         | 448/4000 [09:01<1:08:06,  1.15s/it]

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overall:  11%|█         | 449/4000 [09:02<1:11:23,  1.21s/it]

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overall:  11%|█▏        | 451/4000 [09:04<1:08:04,  1.15s/it]

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overall:  11%|█▏        | 452/4000 [09:06<1:09:42,  1.18s/it]

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overall:  11%|█▏        | 453/4000 [09:06<56:43,  1.04it/s]  

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overall:  11%|█▏        | 454/4000 [09:07<1:02:28,  1.06s/it]

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overall:  11%|█▏        | 456/4000 [09:10<1:11:06,  1.20s/it]

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overall:  12%|█▏        | 471/4000 [09:28<1:11:09,  1.21s/it]

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overall:  12%|█▏        | 472/4000 [09:29<1:12:17,  1.23s/it]

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overall:  12%|█▏        | 473/4000 [09:31<1:14:42,  1.27s/it]

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overall:  12%|█▏        | 475/4000 [09:32<56:29,  1.04it/s]

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overall:  12%|█▏        | 476/4000 [09:33<1:02:41,  1.07s/it]

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overall:  12%|█▏        | 477/4000 [09:35<1:08:14,  1.16s/it]

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overall:  12%|█▏        | 481/4000 [09:39<1:07:39,  1.15s/it]

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overall:  12%|█▏        | 482/4000 [09:41<1:10:20,  1.20s/it]

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overall:  12%|█▏        | 483/4000 [09:42<1:11:51,  1.23s/it]

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overall:  12%|█▏        | 484/4000 [09:43<1:11:42,  1.22s/it]

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overall:  12%|█▏        | 485/4000 [09:44<1:08:30,  1.17s/it]

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overall:  12%|█▏        | 486/4000 [09:46<1:12:35,  1.24s/it]

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overall:  12%|█▏        | 487/4000 [09:47<1:15:08,  1.28s/it]

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overall:  12%|█▏        | 488/4000 [09:47<59:30,  1.02s/it]  

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overall:  12%|█▏        | 489/4000 [09:48<58:01,  1.01it/s]

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overall:  12%|█▏        | 490/4000 [09:50<1:03:08,  1.08s/it]

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overall:  12%|█▏        | 491/4000 [09:51<1:05:13,  1.12s/it]

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overall:  12%|█▏        | 492/4000 [09:51<56:08,  1.04it/s]  

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overall:  12%|█▏        | 493/4000 [09:53<1:01:04,  1.05s/it]

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overall:  12%|█▏        | 494/4000 [09:54<1:06:16,  1.13s/it]

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overall:  12%|█▏        | 495/4000 [09:55<1:08:33,  1.17s/it]

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overall:  12%|█▏        | 496/4000 [09:56<1:08:46,  1.18s/it]

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overall:  12%|█▏        | 497/4000 [09:58<1:10:56,  1.21s/it]

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overall:  12%|█▏        | 498/4000 [09:59<1:11:09,  1.22s/it]

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overall:  12%|█▏        | 499/4000 [10:00<1:08:03,  1.17s/it]

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overall:  12%|█▎        | 500/4000 [10:01<58:22,  1.00s/it]  

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overall:  13%|█▎        | 501/4000 [10:02<1:04:10,  1.10s/it]

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overall:  13%|█▎        | 502/4000 [10:03<1:07:09,  1.15s/it]

train:  14%|█▍        | 502/3515 [09:58<57:51,  1.15s/it]
overall:  13%|█▎        | 503/4000 [10:05<1:09:31,  1.19s/it]

train:  14%|█▍        | 503/3515 [09:59<59:52,  1.19s/it]
overall:  13%|█▎        | 504/4000 [10:06<1:10:57,  1.22s/it]

train:  14%|█▍        | 504/3515 [10:00<1:01:06,  1.22s/it]
overall:  13%|█▎        | 505/4000 [10:07<1:13:13,  1.26s/it]

train:  14%|█▍        | 505/3515 [10:02<1:03:03,  1.26s/it]
overall:  13%|█▎        | 506/4000 [10:08<1:09:33,  1.19s/it]

train:  14%|█▍        | 506/3515 [10:03<59:53,  1.19s/it]  
overall:  13%|█▎        | 507/4000 [10:10<1:12:34,  1.25s/it]

train:  14%|█▍        | 507/3515 [10:04<1:02:30,  1.25s/it]
overall:  13%|█▎        | 508/4000 [10:11<1:13:02,  1.26s/it]

train:  14%|█▍        | 508/3515 [10:05<1:02:53,  1.26s/it]
overall:  13%|█▎        | 509/4000 [10:12<1:14:22,  1.28s/it]

train:  14%|█▍        | 509/3515 [10:07<1:04:02,  1.28s/it]
overall:  13%|█▎        | 510/4000 [10:14<1:15:27,  1.30s/it]

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overall:  13%|█▎        | 511/4000 [10:15<1:14:11,  1.28s/it]

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overall:  13%|█▎        | 516/4000 [10:21<1:11:50,  1.24s/it]

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overall:  13%|█▎        | 519/4000 [10:24<1:13:02,  1.26s/it]

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overall:  13%|█▎        | 521/4000 [10:27<1:13:38,  1.27s/it]

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overall:  13%|█▎        | 522/4000 [10:28<1:13:58,  1.28s/it]

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overall:  13%|█▎        | 523/4000 [10:30<1:14:18,  1.28s/it]

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overall:  13%|█▎        | 526/4000 [10:34<1:15:56,  1.31s/it]

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overall:  13%|█▎        | 528/4000 [10:35<56:52,  1.02it/s]  

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overall:  13%|█▎        | 529/4000 [10:36<1:01:44,  1.07s/it]

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overall:  13%|█▎        | 531/4000 [10:38<56:35,  1.02it/s]  

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overall:  13%|█▎        | 532/4000 [10:39<1:01:18,  1.06s/it]

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overall:  13%|█▎        | 533/4000 [10:41<1:05:10,  1.13s/it]

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overall:  13%|█▎        | 534/4000 [10:41<57:43,  1.00it/s]  

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overall:  13%|█▎        | 535/4000 [10:43<1:02:38,  1.08s/it]

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overall:  13%|█▎        | 536/4000 [10:44<1:05:16,  1.13s/it]

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overall:  13%|█▎        | 538/4000 [10:47<1:11:40,  1.24s/it]

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overall:  13%|█▎        | 539/4000 [10:47<1:03:49,  1.11s/it]

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overall:  14%|█▎        | 540/4000 [10:48<54:57,  1.05it/s]  

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overall:  14%|█▎        | 541/4000 [10:49<1:01:51,  1.07s/it]

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overall:  14%|█▎        | 542/4000 [10:51<1:05:06,  1.13s/it]

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overall:  14%|█▎        | 543/4000 [10:52<1:09:37,  1.21s/it]

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overall:  14%|█▎        | 544/4000 [10:53<1:09:23,  1.20s/it]

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overall:  14%|█▎        | 545/4000 [10:55<1:10:53,  1.23s/it]

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overall:  14%|█▎        | 546/4000 [10:56<1:10:06,  1.22s/it]

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overall:  14%|█▎        | 547/4000 [10:57<1:11:21,  1.24s/it]

train:  16%|█▌        | 547/3515 [10:52<1:01:20,  1.24s/it]
overall:  14%|█▎        | 548/4000 [10:58<1:10:54,  1.23s/it]

train:  16%|█▌        | 548/3515 [10:53<1:00:56,  1.23s/it]
overall:  14%|█▎        | 549/4000 [11:00<1:12:44,  1.26s/it]

train:  16%|█▌        | 549/3515 [10:54<1:02:31,  1.26s/it]
overall:  14%|█▍        | 550/4000 [11:01<1:13:18,  1.27s/it]

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overall:  14%|█▍        | 551/4000 [11:02<1:12:46,  1.27s/it]

train:  16%|█▌        | 551/3515 [10:57<1:02:32,  1.27s/it]
overall:  14%|█▍        | 552/4000 [11:03<1:04:32,  1.12s/it]

train:  16%|█▌        | 552/3515 [10:57<55:28,  1.12s/it]  
overall:  14%|█▍        | 553/4000 [11:04<1:05:19,  1.14s/it]

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overall:  14%|█▍        | 554/4000 [11:05<1:08:12,  1.19s/it]

train:  16%|█▌        | 554/3515 [11:00<58:36,  1.19s/it]
overall:  14%|█▍        | 555/4000 [11:06<54:28,  1.05it/s]  

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overall:  14%|█▍        | 556/4000 [11:07<1:00:01,  1.05s/it]

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overall:  14%|█▍        | 557/4000 [11:09<1:09:00,  1.20s/it]

train:  16%|█▌        | 557/3515 [11:03<59:17,  1.20s/it]
overall:  14%|█▍        | 558/4000 [11:10<1:10:04,  1.22s/it]

train:  16%|█▌        | 558/3515 [11:04<1:00:11,  1.22s/it]
overall:  14%|█▍        | 559/4000 [11:11<1:11:13,  1.24s/it]

train:  16%|█▌        | 559/3515 [11:06<1:01:11,  1.24s/it]
overall:  14%|█▍        | 560/4000 [11:12<1:07:58,  1.19s/it]

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overall:  14%|█▍        | 561/4000 [11:13<1:08:17,  1.19s/it]

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overall:  14%|█▍        | 562/4000 [11:14<1:03:59,  1.12s/it]

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overall:  14%|█▍        | 563/4000 [11:16<1:07:10,  1.17s/it]

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overall:  14%|█▍        | 564/4000 [11:17<1:10:04,  1.22s/it]

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overall:  14%|█▍        | 565/4000 [11:18<56:46,  1.01it/s]  

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overall:  14%|█▍        | 566/4000 [11:19<1:01:59,  1.08s/it]

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overall:  14%|█▍        | 567/4000 [11:20<1:08:21,  1.19s/it]

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overall:  14%|█▍        | 568/4000 [11:21<53:03,  1.08it/s]  

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overall:  14%|█▍        | 569/4000 [11:22<59:21,  1.04s/it]

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overall:  14%|█▍        | 570/4000 [11:23<1:03:34,  1.11s/it]

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overall:  14%|█▍        | 571/4000 [11:24<1:07:35,  1.18s/it]

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overall:  14%|█▍        | 572/4000 [11:26<1:09:20,  1.21s/it]

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overall:  14%|█▍        | 573/4000 [11:27<1:11:57,  1.26s/it]

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overall:  14%|█▍        | 574/4000 [11:28<1:12:09,  1.26s/it]

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overall:  14%|█▍        | 575/4000 [11:30<1:13:28,  1.29s/it]

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overall:  14%|█▍        | 576/4000 [11:31<1:13:18,  1.28s/it]

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overall:  14%|█▍        | 577/4000 [11:32<1:11:00,  1.24s/it]

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overall:  14%|█▍        | 578/4000 [11:33<1:11:32,  1.25s/it]

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overall:  14%|█▍        | 579/4000 [11:34<1:01:40,  1.08s/it]

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overall:  14%|█▍        | 580/4000 [11:35<1:04:21,  1.13s/it]

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overall:  15%|█▍        | 581/4000 [11:37<1:07:49,  1.19s/it]

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overall:  15%|█▍        | 582/4000 [11:38<1:07:55,  1.19s/it]

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overall:  15%|█▍        | 583/4000 [11:39<1:10:32,  1.24s/it]

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overall:  15%|█▍        | 584/4000 [11:40<1:08:03,  1.20s/it]

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overall:  15%|█▍        | 585/4000 [11:42<1:09:34,  1.22s/it]

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overall:  15%|█▍        | 586/4000 [11:43<1:12:18,  1.27s/it]

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overall:  15%|█▍        | 587/4000 [11:44<1:13:49,  1.30s/it]

train:  17%|█▋        | 587/3515 [11:39<1:03:19,  1.30s/it]
overall:  15%|█▍        | 588/4000 [11:46<1:13:22,  1.29s/it]

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overall:  15%|█▍        | 589/4000 [11:47<1:11:27,  1.26s/it]

train:  17%|█▋        | 589/3515 [11:41<1:01:17,  1.26s/it]
overall:  15%|█▍        | 590/4000 [11:48<1:01:41,  1.09s/it]

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overall:  15%|█▍        | 591/4000 [11:49<1:07:20,  1.19s/it]

train:  17%|█▋        | 591/3515 [11:43<57:45,  1.19s/it]
overall:  15%|█▍        | 592/4000 [11:50<1:09:27,  1.22s/it]

train:  17%|█▋        | 592/3515 [11:45<59:34,  1.22s/it]
overall:  15%|█▍        | 593/4000 [11:51<1:08:31,  1.21s/it]

train:  17%|█▋        | 593/3515 [11:46<58:45,  1.21s/it]
overall:  15%|█▍        | 594/4000 [11:53<1:08:46,  1.21s/it]

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overall:  15%|█▍        | 595/4000 [11:54<1:09:38,  1.23s/it]

train:  17%|█▋        | 595/3515 [11:48<59:43,  1.23s/it]
overall:  15%|█▍        | 596/4000 [11:55<1:10:23,  1.24s/it]

train:  17%|█▋        | 596/3515 [11:50<1:00:21,  1.24s/it]
overall:  15%|█▍        | 597/4000 [11:56<1:00:49,  1.07s/it]

train:  17%|█▋        | 597/3515 [11:50<52:09,  1.07s/it]  
overall:  15%|█▍        | 598/4000 [11:57<1:04:29,  1.14s/it]

train:  17%|█▋        | 598/3515 [11:52<55:18,  1.14s/it]
overall:  15%|█▍        | 599/4000 [11:58<1:05:21,  1.15s/it]

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overall:  15%|█▌        | 600/4000 [11:59<1:02:25,  1.10s/it]

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overall:  15%|█▌        | 601/4000 [12:00<59:09,  1.04s/it]  

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overall:  15%|█▌        | 602/4000 [12:01<1:02:45,  1.11s/it]

train:  17%|█▋        | 602/3515 [11:56<53:48,  1.11s/it]
overall:  15%|█▌        | 603/4000 [12:03<1:05:26,  1.16s/it]

train:  17%|█▋        | 603/3515 [11:57<56:06,  1.16s/it]
overall:  15%|█▌        | 604/4000 [12:04<1:06:12,  1.17s/it]

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overall:  15%|█▌        | 605/4000 [12:06<1:14:20,  1.31s/it]

train:  17%|█▋        | 605/3515 [12:00<1:03:43,  1.31s/it]
overall:  15%|█▌        | 606/4000 [12:07<1:11:02,  1.26s/it]

train:  17%|█▋        | 606/3515 [12:01<1:00:53,  1.26s/it]
overall:  15%|█▌        | 607/4000 [12:08<1:05:01,  1.15s/it]

train:  17%|█▋        | 607/3515 [12:02<55:43,  1.15s/it]  
overall:  15%|█▌        | 608/4000 [12:09<1:07:17,  1.19s/it]

train:  17%|█▋        | 608/3515 [12:03<57:39,  1.19s/it]
overall:  15%|█▌        | 609/4000 [12:10<1:07:28,  1.19s/it]

train:  17%|█▋        | 609/3515 [12:05<57:49,  1.19s/it]
overall:  15%|█▌        | 610/4000 [12:11<1:10:02,  1.24s/it]

train:  17%|█▋        | 610/3515 [12:06<1:00:00,  1.24s/it]
overall:  15%|█▌        | 611/4000 [12:12<57:12,  1.01s/it]  

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overall:  15%|█▌        | 612/4000 [12:13<51:00,  1.11it/s]

train:  17%|█▋        | 612/3515 [12:07<43:42,  1.11it/s]
overall:  15%|█▌        | 613/4000 [12:14<57:24,  1.02s/it]

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overall:  15%|█▌        | 614/4000 [12:15<1:04:03,  1.14s/it]

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overall:  15%|█▌        | 615/4000 [12:17<1:06:42,  1.18s/it]

train:  17%|█▋        | 615/3515 [12:11<57:08,  1.18s/it]
overall:  15%|█▌        | 616/4000 [12:18<1:06:49,  1.18s/it]

train:  18%|█▊        | 616/3515 [12:12<57:14,  1.18s/it]
overall:  15%|█▌        | 617/4000 [12:19<1:09:47,  1.24s/it]

train:  18%|█▊        | 617/3515 [12:14<59:47,  1.24s/it]
overall:  15%|█▌        | 618/4000 [12:20<1:10:27,  1.25s/it]

train:  18%|█▊        | 618/3515 [12:15<1:00:21,  1.25s/it]
overall:  15%|█▌        | 619/4000 [12:22<1:10:09,  1.25s/it]

train:  18%|█▊        | 619/3515 [12:16<1:00:05,  1.25s/it]
overall:  16%|█▌        | 620/4000 [12:23<1:10:56,  1.26s/it]

train:  18%|█▊        | 620/3515 [12:17<1:00:46,  1.26s/it]
overall:  16%|█▌        | 621/4000 [12:24<1:11:36,  1.27s/it]

train:  18%|█▊        | 621/3515 [12:19<1:01:20,  1.27s/it]
overall:  16%|█▌        | 622/4000 [12:26<1:11:27,  1.27s/it]

train:  18%|█▊        | 622/3515 [12:20<1:01:12,  1.27s/it]
overall:  16%|█▌        | 623/4000 [12:27<1:11:50,  1.28s/it]

train:  18%|█▊        | 623/3515 [12:21<1:01:31,  1.28s/it]
overall:  16%|█▌        | 624/4000 [12:28<1:11:52,  1.28s/it]

train:  18%|█▊        | 624/3515 [12:23<1:01:33,  1.28s/it]
overall:  16%|█▌        | 625/4000 [12:29<1:10:15,  1.25s/it]

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overall:  16%|█▌        | 626/4000 [12:30<1:09:50,  1.24s/it]

train:  18%|█▊        | 626/3515 [12:25<59:48,  1.24s/it]  
overall:  16%|█▌        | 627/4000 [12:32<1:10:15,  1.25s/it]

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overall:  16%|█▌        | 628/4000 [12:33<1:10:36,  1.26s/it]

train:  18%|█▊        | 628/3515 [12:28<1:00:27,  1.26s/it]
overall:  16%|█▌        | 629/4000 [12:35<1:15:16,  1.34s/it]

train:  18%|█▊        | 629/3515 [12:29<1:04:26,  1.34s/it]
overall:  16%|█▌        | 630/4000 [12:36<1:09:57,  1.25s/it]

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overall:  16%|█▌        | 631/4000 [12:37<1:09:19,  1.23s/it]

train:  18%|█▊        | 631/3515 [12:31<59:20,  1.23s/it]
overall:  16%|█▌        | 632/4000 [12:38<1:09:01,  1.23s/it]

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overall:  16%|█▌        | 633/4000 [12:39<1:10:48,  1.26s/it]

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overall:  16%|█▌        | 634/4000 [12:41<1:13:09,  1.30s/it]

train:  18%|█▊        | 634/3515 [12:35<1:02:36,  1.30s/it]
overall:  16%|█▌        | 635/4000 [12:41<58:32,  1.04s/it]  

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overall:  16%|█▌        | 636/4000 [12:42<1:00:31,  1.08s/it]

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overall:  16%|█▌        | 637/4000 [12:44<1:04:09,  1.14s/it]

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overall:  16%|█▌        | 638/4000 [12:44<52:29,  1.07it/s]  

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overall:  16%|█▌        | 639/4000 [12:46<1:04:10,  1.15s/it]

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overall:  16%|█▌        | 640/4000 [12:47<1:02:57,  1.12s/it]

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overall:  16%|█▌        | 641/4000 [12:48<1:05:06,  1.16s/it]

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overall:  16%|█▌        | 642/4000 [12:49<1:05:54,  1.18s/it]

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overall:  16%|█▌        | 643/4000 [12:51<1:08:34,  1.23s/it]

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overall:  16%|█▌        | 644/4000 [12:52<1:09:06,  1.24s/it]

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overall:  16%|█▌        | 645/4000 [12:53<59:38,  1.07s/it]  

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overall:  16%|█▌        | 646/4000 [12:54<1:03:06,  1.13s/it]

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overall:  16%|█▌        | 647/4000 [12:55<1:02:49,  1.12s/it]

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overall:  16%|█▌        | 648/4000 [12:56<1:05:01,  1.16s/it]

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overall:  16%|█▌        | 649/4000 [12:57<1:07:00,  1.20s/it]

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overall:  16%|█▋        | 650/4000 [12:59<1:05:04,  1.17s/it]

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overall:  16%|█▋        | 651/4000 [13:00<1:07:50,  1.22s/it]

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overall:  16%|█▋        | 652/4000 [13:01<1:10:11,  1.26s/it]

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overall:  16%|█▋        | 653/4000 [13:03<1:11:42,  1.29s/it]

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overall:  16%|█▋        | 654/4000 [13:04<1:12:00,  1.29s/it]

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overall:  16%|█▋        | 655/4000 [13:05<1:06:58,  1.20s/it]

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overall:  16%|█▋        | 656/4000 [13:06<1:08:16,  1.22s/it]

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overall:  16%|█▋        | 657/4000 [13:07<1:07:52,  1.22s/it]

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overall:  16%|█▋        | 658/4000 [13:08<1:06:12,  1.19s/it]

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overall:  16%|█▋        | 659/4000 [13:09<56:28,  1.01s/it]  

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overall:  17%|█▋        | 662/4000 [13:13<1:04:55,  1.17s/it]

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overall:  17%|█▋        | 665/4000 [13:17<1:08:23,  1.23s/it]

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overall:  17%|█▋        | 667/4000 [13:19<1:05:39,  1.18s/it]

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overall:  17%|█▋        | 668/4000 [13:20<1:06:26,  1.20s/it]

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overall:  17%|█▋        | 669/4000 [13:21<1:03:30,  1.14s/it]

train:  19%|█▉        | 669/3515 [13:16<54:15,  1.14s/it]
overall:  17%|█▋        | 670/4000 [13:22<54:36,  1.02it/s]  

train:  19%|█▉        | 670/3515 [13:16<46:39,  1.02it/s]
overall:  17%|█▋        | 671/4000 [13:23<49:49,  1.11it/s]

train:  19%|█▉        | 671/3515 [13:17<42:33,  1.11it/s]
overall:  17%|█▋        | 672/4000 [13:24<54:47,  1.01it/s]

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overall:  17%|█▋        | 673/4000 [13:25<1:00:28,  1.09s/it]

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train:  27%|██▋       | 934/3515 [18:34<55:14,  1.28s/it]
overall:  23%|██▎       | 935/4000 [18:41<1:05:53,  1.29s/it]

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train:  27%|██▋       | 936/3515 [18:37<53:38,  1.25s/it]
overall:  23%|██▎       | 937/4000 [18:44<1:05:13,  1.28s/it]

train:  27%|██▋       | 937/3515 [18:38<54:54,  1.28s/it]
overall:  23%|██▎       | 938/4000 [18:44<56:23,  1.10s/it]  

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overall:  23%|██▎       | 939/4000 [18:46<57:31,  1.13s/it]

train:  27%|██▋       | 939/3515 [18:40<48:24,  1.13s/it]
overall:  24%|██▎       | 940/4000 [18:47<59:34,  1.17s/it]

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overall:  24%|██▎       | 941/4000 [18:48<1:02:12,  1.22s/it]

train:  27%|██▋       | 941/3515 [18:43<52:20,  1.22s/it]
overall:  24%|██▎       | 942/4000 [18:50<1:03:29,  1.25s/it]

train:  27%|██▋       | 942/3515 [18:44<53:25,  1.25s/it]
overall:  24%|██▎       | 943/4000 [18:51<1:03:02,  1.24s/it]

train:  27%|██▋       | 943/3515 [18:45<53:02,  1.24s/it]
overall:  24%|██▎       | 944/4000 [18:52<1:01:40,  1.21s/it]

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overall:  24%|██▎       | 946/4000 [18:54<1:01:46,  1.21s/it]

train:  27%|██▋       | 946/3515 [18:49<51:57,  1.21s/it]
overall:  24%|██▎       | 947/4000 [18:56<1:03:34,  1.25s/it]

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overall:  24%|██▍       | 954/4000 [19:03<54:22,  1.07s/it]

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overall:  24%|██▍       | 955/4000 [19:04<1:04:30,  1.27s/it]

train:  27%|██▋       | 955/3515 [18:59<54:14,  1.27s/it]
overall:  24%|██▍       | 956/4000 [19:05<55:21,  1.09s/it]  

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overall:  24%|██▍       | 957/4000 [19:06<56:53,  1.12s/it]

train:  27%|██▋       | 957/3515 [19:01<47:49,  1.12s/it]
overall:  24%|██▍       | 958/4000 [19:08<59:59,  1.18s/it]

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overall:  24%|██▍       | 959/4000 [19:09<1:02:40,  1.24s/it]

train:  27%|██▋       | 959/3515 [19:03<52:41,  1.24s/it]
overall:  24%|██▍       | 960/4000 [19:10<1:03:28,  1.25s/it]

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overall:  24%|██▍       | 961/4000 [19:11<58:18,  1.15s/it]  

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overall:  24%|██▍       | 962/4000 [19:12<1:00:06,  1.19s/it]

train:  27%|██▋       | 962/3515 [19:07<50:30,  1.19s/it]
overall:  24%|██▍       | 963/4000 [19:14<1:01:30,  1.22s/it]

train:  27%|██▋       | 963/3515 [19:08<51:40,  1.22s/it]
overall:  24%|██▍       | 964/4000 [19:15<1:01:18,  1.21s/it]

train:  27%|██▋       | 964/3515 [19:09<51:30,  1.21s/it]
overall:  24%|██▍       | 965/4000 [19:16<1:00:02,  1.19s/it]

train:  27%|██▋       | 965/3515 [19:11<50:26,  1.19s/it]
overall:  24%|██▍       | 966/4000 [19:17<1:01:34,  1.22s/it]

train:  27%|██▋       | 966/3515 [19:12<51:43,  1.22s/it]
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train:  28%|██▊       | 967/3515 [19:13<52:33,  1.24s/it]
overall:  24%|██▍       | 968/4000 [19:19<52:32,  1.04s/it]  

train:  28%|██▊       | 968/3515 [19:14<44:08,  1.04s/it]
overall:  24%|██▍       | 969/4000 [19:20<52:02,  1.03s/it]

train:  28%|██▊       | 969/3515 [19:15<43:43,  1.03s/it]
overall:  24%|██▍       | 970/4000 [19:21<55:20,  1.10s/it]

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overall:  24%|██▍       | 971/4000 [19:22<43:34,  1.16it/s]

train:  28%|██▊       | 971/3515 [19:16<36:35,  1.16it/s]
overall:  24%|██▍       | 972/4000 [19:23<50:32,  1.00s/it]

train:  28%|██▊       | 972/3515 [19:18<42:26,  1.00s/it]
overall:  24%|██▍       | 973/4000 [19:24<56:10,  1.11s/it]

train:  28%|██▊       | 973/3515 [19:19<47:10,  1.11s/it]
overall:  24%|██▍       | 974/4000 [19:26<59:40,  1.18s/it]

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overall:  24%|██▍       | 975/4000 [19:27<1:02:32,  1.24s/it]

train:  28%|██▊       | 975/3515 [19:22<52:31,  1.24s/it]
overall:  24%|██▍       | 976/4000 [19:28<1:02:18,  1.24s/it]

train:  28%|██▊       | 976/3515 [19:23<52:19,  1.24s/it]
overall:  24%|██▍       | 977/4000 [19:30<1:02:24,  1.24s/it]

train:  28%|██▊       | 977/3515 [19:24<52:23,  1.24s/it]
overall:  24%|██▍       | 978/4000 [19:31<1:02:58,  1.25s/it]

train:  28%|██▊       | 978/3515 [19:25<52:52,  1.25s/it]
overall:  24%|██▍       | 979/4000 [19:32<1:06:00,  1.31s/it]

train:  28%|██▊       | 979/3515 [19:27<55:24,  1.31s/it]
overall:  24%|██▍       | 980/4000 [19:33<54:59,  1.09s/it]  

train:  28%|██▊       | 980/3515 [19:27<46:09,  1.09s/it]
overall:  25%|██▍       | 981/4000 [19:34<49:30,  1.02it/s]

train:  28%|██▊       | 981/3515 [19:28<41:33,  1.02it/s]
overall:  25%|██▍       | 982/4000 [19:34<42:05,  1.20it/s]

train:  28%|██▊       | 982/3515 [19:29<35:19,  1.20it/s]
overall:  25%|██▍       | 983/4000 [19:35<48:28,  1.04it/s]

train:  28%|██▊       | 983/3515 [19:30<40:41,  1.04it/s]
overall:  25%|██▍       | 984/4000 [19:37<53:50,  1.07s/it]

train:  28%|██▊       | 984/3515 [19:31<45:10,  1.07s/it]
overall:  25%|██▍       | 985/4000 [19:38<54:12,  1.08s/it]

train:  28%|██▊       | 985/3515 [19:32<45:29,  1.08s/it]
overall:  25%|██▍       | 986/4000 [19:39<57:12,  1.14s/it]

train:  28%|██▊       | 986/3515 [19:34<48:00,  1.14s/it]
overall:  25%|██▍       | 987/4000 [19:40<59:16,  1.18s/it]

train:  28%|██▊       | 987/3515 [19:35<49:43,  1.18s/it]
overall:  25%|██▍       | 988/4000 [19:42<1:00:47,  1.21s/it]

train:  28%|██▊       | 988/3515 [19:36<50:59,  1.21s/it]
overall:  25%|██▍       | 989/4000 [19:43<1:02:19,  1.24s/it]

train:  28%|██▊       | 989/3515 [19:38<52:17,  1.24s/it]
overall:  25%|██▍       | 990/4000 [19:44<1:03:16,  1.26s/it]

train:  28%|██▊       | 990/3515 [19:39<53:04,  1.26s/it]
overall:  25%|██▍       | 991/4000 [19:46<1:04:19,  1.28s/it]

train:  28%|██▊       | 991/3515 [19:40<53:57,  1.28s/it]
overall:  25%|██▍       | 992/4000 [19:47<1:04:04,  1.28s/it]

train:  28%|██▊       | 992/3515 [19:41<53:44,  1.28s/it]
overall:  25%|██▍       | 993/4000 [19:48<1:04:18,  1.28s/it]

train:  28%|██▊       | 993/3515 [19:43<53:55,  1.28s/it]
overall:  25%|██▍       | 994/4000 [19:49<51:31,  1.03s/it]  

train:  28%|██▊       | 994/3515 [19:43<43:12,  1.03s/it]
overall:  25%|██▍       | 995/4000 [19:50<56:17,  1.12s/it]

train:  28%|██▊       | 995/3515 [19:45<47:12,  1.12s/it]
overall:  25%|██▍       | 996/4000 [19:51<58:45,  1.17s/it]

train:  28%|██▊       | 996/3515 [19:46<49:16,  1.17s/it]
overall:  25%|██▍       | 997/4000 [19:53<1:01:30,  1.23s/it]

train:  28%|██▊       | 997/3515 [19:47<51:34,  1.23s/it]
overall:  25%|██▍       | 998/4000 [19:54<1:01:40,  1.23s/it]

train:  28%|██▊       | 998/3515 [19:48<51:42,  1.23s/it]
overall:  25%|██▍       | 999/4000 [19:55<1:03:28,  1.27s/it]

train:  28%|██▊       | 999/3515 [19:50<53:12,  1.27s/it]train loss: 172.44827270507812
train per: 1.0629374100362337
train loss: 76.98773193359375
train per: 0.9160548517956248
train loss: 38.35755157470703
train per: 0.9194874397361076
train loss: 26.483348846435547
train per: 0.9855224402176627
train loss: 21.836336135864258
train per: 1.0819520137491236
train loss: 16.666046142578125
train per: 0.9458787304594979
train loss: 14.488433837890625
train per: 1.0411879769677934
train loss: 9.811307907104492
train per: 0.9392426505003677
train loss: 7.253917694091797
train per: 0.9093582717982354
train loss: 6.523181915283203
train per: 0.9229193673839772
train loss: 5.889601230621338
train per: 0.9110149672591207
train loss: 4.15396785736084
train per: 0.8684513673244516
train loss: 3.7343037128448486
train per: 0.8198853956945951
train loss: 2.9964287281036377
train per: 0.7337045528987881
train loss: 2.4779937267303467
train per: 0.6690412439509691
train loss: 2.420987129211426
train per: 0.658614583608637
train loss: 2.241664409637451
train per: 0.6191204387260072
train loss: 2.209301710128784
train per: 0.62163528371035
train loss: 2.1016011238098145
train per: 0.5995915762603702
train loss: 2.0936195850372314
train per: 0.5965311207334478
train loss: 2.012843608856201
train per: 0.5844834848972916
train loss: 1.9851515293121338
train per: 0.575243438621099
train loss: 2.0443167686462402
train per: 0.5884178922192255
train loss: 2.013823986053467
train per: 0.5796500226278474
train loss: 2.022937059402466
train per: 0.5828959798467513
train loss: 1.9655742645263672
train per: 0.5705828673046774
train loss: 1.9687343835830688
train per: 0.5754973623826083
train loss: 1.941951036453247
train per: 0.5631716172421355
train loss: 1.9128940105438232
train per: 0.5551019373161579
train loss: 1.9043190479278564
train per: 0.553853482424911
train loss: 1.9029057025909424
train per: 0.5579424118212641
train loss: 1.9172728061676025
train per: 0.5618852663637726
train loss: 1.9231641292572021
train per: 0.5596003561183104
train loss: 1.8801501989364624
train per: 0.5554952215464813
train loss: 1.8599395751953125
train per: 0.5497653917247263
train loss: 1.9119346141815186
train per: 0.5579792451856058
train loss: 1.8271881341934204
train per: 0.5444830693961632
train loss: 1.8494110107421875
train per: 0.5430085293357456
train loss: 1.82270085811615
train per: 0.5366326784381995
train loss: 1.8285366296768188
train per: 0.5397514157534751
train loss: 1.902306318283081
train per: 0.5537204072255942
train loss: 1.8545300960540771
train per: 0.5449558137225697
train loss: 1.8319854736328125
train per: 0.5428511314755938
train loss: 1.8716192245483398
train per: 0.5527713436746917
train loss: 1.8266723155975342
train per: 0.540293129473633
train loss: 1.8166183233261108
train per: 0.5429328231918181
train loss: 1.8843179941177368
train per: 0.5507786894509618
train loss: 1.8452028036117554
train per: 0.5396454011334685
train loss: 1.8736333847045898
train per: 0.5591946099216982
train loss: 1.8803237676620483
train per: 0.5470229478630247
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   5%|▌         | 136/2703 [00:00<00:01, 1359.46it/s]


word -> phonemes:  11%|█         | 287/2703 [00:00<00:01, 1444.87it/s]


word -> phonemes:  16%|█▌        | 432/2703 [00:00<00:01, 1354.80it/s]


word -> phonemes:  22%|██▏       | 584/2703 [00:00<00:01, 1409.25it/s]


word -> phonemes:  27%|██▋       | 726/2703 [00:00<00:01, 1368.83it/s]


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word -> phonemes:  59%|█████▉    | 1602/2703 [00:01<00:00, 1303.42it/s]


word -> phonemes:  65%|██████▍   | 1753/2703 [00:01<00:00, 1361.40it/s]


word -> phonemes:  70%|██████▉   | 1891/2703 [00:01<00:00, 1287.25it/s]


word -> phonemes:  75%|███████▍  | 2022/2703 [00:01<00:00, 1279.33it/s]


word -> phonemes:  80%|███████▉  | 2151/2703 [00:01<00:00, 1189.32it/s]


word -> phonemes:  85%|████████▍ | 2295/2703 [00:01<00:00, 1256.56it/s]


word -> phonemes:  90%|████████▉ | 2423/2703 [00:01<00:00, 1229.52it/s]


word -> phonemes:  94%|█████████▍| 2550/2703 [00:01<00:00, 1227.48it/s]


word -> phonemes: 100%|█████████▉| 2701/2703 [00:02<00:00, 1307.31it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:02<00:00, 1307.43it/s]



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overall:  31%|███▏      | 1254/4000 [28:22<1:00:17,  1.32s/it]

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overall:  31%|███▏      | 1256/4000 [28:25<57:41,  1.26s/it]

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overall:  31%|███▏      | 1259/4000 [28:29<57:34,  1.26s/it]

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overall:  32%|███▏      | 1260/4000 [28:30<58:52,  1.29s/it]

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train:  36%|███▌      | 1261/3515 [28:25<45:14,  1.20s/it]
overall:  32%|███▏      | 1262/4000 [28:32<55:22,  1.21s/it]

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overall:  32%|███▏      | 1263/4000 [28:33<56:15,  1.23s/it]

train:  36%|███▌      | 1263/3515 [28:28<46:17,  1.23s/it]
overall:  32%|███▏      | 1264/4000 [28:34<53:19,  1.17s/it]

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overall:  32%|███▏      | 1266/4000 [28:37<55:46,  1.22s/it]

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overall:  32%|███▏      | 1269/4000 [28:41<58:11,  1.28s/it]

train:  36%|███▌      | 1269/3515 [28:35<47:51,  1.28s/it]
overall:  32%|███▏      | 1270/4000 [28:42<58:57,  1.30s/it]

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overall:  32%|███▏      | 1271/4000 [28:44<58:48,  1.29s/it]

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overall:  32%|███▏      | 1272/4000 [28:45<58:25,  1.28s/it]

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overall:  32%|███▏      | 1273/4000 [28:46<58:15,  1.28s/it]

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overall:  32%|███▏      | 1275/4000 [28:48<54:52,  1.21s/it]

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overall:  32%|███▏      | 1277/4000 [28:51<59:28,  1.31s/it]  

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overall:  32%|███▏      | 1278/4000 [28:52<48:00,  1.06s/it]

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overall:  32%|███▏      | 1279/4000 [28:53<49:58,  1.10s/it]

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overall:  32%|███▏      | 1280/4000 [28:54<51:27,  1.14s/it]

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overall:  32%|███▏      | 1281/4000 [28:55<54:31,  1.20s/it]

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overall:  32%|███▏      | 1284/4000 [28:59<48:42,  1.08s/it]

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overall:  32%|███▏      | 1285/4000 [29:00<52:22,  1.16s/it]

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overall:  32%|███▏      | 1286/4000 [29:01<46:18,  1.02s/it]

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overall:  32%|███▏      | 1287/4000 [29:02<51:00,  1.13s/it]

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overall:  32%|███▏      | 1293/4000 [29:10<59:23,  1.32s/it]

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overall:  32%|███▏      | 1298/4000 [29:17<55:32,  1.23s/it]

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overall:  32%|███▏      | 1299/4000 [29:17<51:34,  1.15s/it]

train:  37%|███▋      | 1299/3515 [29:12<42:18,  1.15s/it]
overall:  32%|███▎      | 1300/4000 [29:19<54:14,  1.21s/it]

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overall:  33%|███▎      | 1301/4000 [29:20<56:08,  1.25s/it]

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overall:  33%|███▎      | 1302/4000 [29:21<52:46,  1.17s/it]

train:  37%|███▋      | 1302/3515 [29:16<43:17,  1.17s/it]
overall:  33%|███▎      | 1303/4000 [29:22<45:59,  1.02s/it]

train:  37%|███▋      | 1303/3515 [29:16<37:43,  1.02s/it]
overall:  33%|███▎      | 1304/4000 [29:23<48:51,  1.09s/it]

train:  37%|███▋      | 1304/3515 [29:18<40:04,  1.09s/it]
overall:  33%|███▎      | 1305/4000 [29:23<38:23,  1.17it/s]

train:  37%|███▋      | 1305/3515 [29:18<31:29,  1.17it/s]
overall:  33%|███▎      | 1306/4000 [29:25<42:38,  1.05it/s]

train:  37%|███▋      | 1306/3515 [29:19<34:58,  1.05it/s]
overall:  33%|███▎      | 1307/4000 [29:25<40:46,  1.10it/s]

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overall:  33%|███▎      | 1308/4000 [29:27<46:29,  1.04s/it]

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overall:  33%|███▎      | 1309/4000 [29:28<49:58,  1.11s/it]

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overall:  33%|███▎      | 1310/4000 [29:29<51:09,  1.14s/it]

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overall:  33%|███▎      | 1311/4000 [29:30<52:37,  1.17s/it]

train:  37%|███▋      | 1311/3515 [29:25<43:07,  1.17s/it]
overall:  33%|███▎      | 1312/4000 [29:32<54:45,  1.22s/it]

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overall:  33%|███▎      | 1313/4000 [29:33<55:02,  1.23s/it]

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overall:  33%|███▎      | 1314/4000 [29:33<44:41,  1.00it/s]

train:  37%|███▋      | 1314/3515 [29:28<36:37,  1.00it/s]
overall:  33%|███▎      | 1315/4000 [29:35<51:33,  1.15s/it]

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overall:  33%|███▎      | 1316/4000 [29:36<54:06,  1.21s/it]

train:  37%|███▋      | 1316/3515 [29:31<44:20,  1.21s/it]
overall:  33%|███▎      | 1317/4000 [29:37<51:42,  1.16s/it]

train:  37%|███▋      | 1317/3515 [29:32<42:21,  1.16s/it]
overall:  33%|███▎      | 1318/4000 [29:39<53:43,  1.20s/it]

train:  37%|███▋      | 1318/3515 [29:33<44:00,  1.20s/it]
overall:  33%|███▎      | 1319/4000 [29:40<55:47,  1.25s/it]

train:  38%|███▊      | 1319/3515 [29:35<45:42,  1.25s/it]
overall:  33%|███▎      | 1320/4000 [29:41<56:32,  1.27s/it]

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overall:  33%|███▎      | 1321/4000 [29:43<57:23,  1.29s/it]

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overall:  33%|███▎      | 1322/4000 [29:43<49:08,  1.10s/it]

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overall:  33%|███▎      | 1323/4000 [29:44<48:44,  1.09s/it]

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overall:  33%|███▎      | 1324/4000 [29:46<52:32,  1.18s/it]

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train:  54%|█████▍    | 1891/3515 [40:56<33:48,  1.25s/it]
overall:  47%|████▋     | 1892/4000 [41:03<44:56,  1.28s/it]

train:  54%|█████▍    | 1892/3515 [40:57<34:36,  1.28s/it]
overall:  47%|████▋     | 1893/4000 [41:04<43:20,  1.23s/it]

train:  54%|█████▍    | 1893/3515 [40:58<33:21,  1.23s/it]
overall:  47%|████▋     | 1894/4000 [41:05<44:34,  1.27s/it]

train:  54%|█████▍    | 1894/3515 [41:00<34:18,  1.27s/it]
overall:  47%|████▋     | 1895/4000 [41:07<44:45,  1.28s/it]

train:  54%|█████▍    | 1895/3515 [41:01<34:26,  1.28s/it]
overall:  47%|████▋     | 1896/4000 [41:07<34:23,  1.02it/s]

train:  54%|█████▍    | 1896/3515 [41:01<26:27,  1.02it/s]
overall:  47%|████▋     | 1897/4000 [41:08<36:58,  1.05s/it]

train:  54%|█████▍    | 1897/3515 [41:03<28:26,  1.05s/it]
overall:  47%|████▋     | 1898/4000 [41:09<39:31,  1.13s/it]

train:  54%|█████▍    | 1898/3515 [41:04<30:24,  1.13s/it]
overall:  47%|████▋     | 1899/4000 [41:10<32:15,  1.09it/s]

train:  54%|█████▍    | 1899/3515 [41:04<24:48,  1.09it/s]
overall:  48%|████▊     | 1900/4000 [41:11<36:20,  1.04s/it]

train:  54%|█████▍    | 1900/3515 [41:06<27:57,  1.04s/it]
overall:  48%|████▊     | 1901/4000 [41:12<39:35,  1.13s/it]

train:  54%|█████▍    | 1901/3515 [41:07<30:26,  1.13s/it]
overall:  48%|████▊     | 1902/4000 [41:14<41:57,  1.20s/it]

train:  54%|█████▍    | 1902/3515 [41:08<32:15,  1.20s/it]
overall:  48%|████▊     | 1903/4000 [41:15<43:24,  1.24s/it]

train:  54%|█████▍    | 1903/3515 [41:10<33:21,  1.24s/it]
overall:  48%|████▊     | 1904/4000 [41:17<44:00,  1.26s/it]

train:  54%|█████▍    | 1904/3515 [41:11<33:49,  1.26s/it]
overall:  48%|████▊     | 1905/4000 [41:19<51:54,  1.49s/it]

train:  54%|█████▍    | 1905/3515 [41:13<39:53,  1.49s/it]
overall:  48%|████▊     | 1906/4000 [41:20<49:46,  1.43s/it]

train:  54%|█████▍    | 1906/3515 [41:14<38:14,  1.43s/it]
overall:  48%|████▊     | 1907/4000 [41:21<48:16,  1.38s/it]

train:  54%|█████▍    | 1907/3515 [41:16<37:05,  1.38s/it]
overall:  48%|████▊     | 1908/4000 [41:22<39:51,  1.14s/it]

train:  54%|█████▍    | 1908/3515 [41:16<30:36,  1.14s/it]
overall:  48%|████▊     | 1909/4000 [41:23<41:33,  1.19s/it]

train:  54%|█████▍    | 1909/3515 [41:18<31:54,  1.19s/it]
overall:  48%|████▊     | 1910/4000 [41:24<43:13,  1.24s/it]

train:  54%|█████▍    | 1910/3515 [41:19<33:11,  1.24s/it]
overall:  48%|████▊     | 1911/4000 [41:25<36:19,  1.04s/it]

train:  54%|█████▍    | 1911/3515 [41:19<27:53,  1.04s/it]
overall:  48%|████▊     | 1912/4000 [41:26<37:58,  1.09s/it]

train:  54%|█████▍    | 1912/3515 [41:21<29:08,  1.09s/it]
overall:  48%|████▊     | 1913/4000 [41:27<39:17,  1.13s/it]

train:  54%|█████▍    | 1913/3515 [41:22<30:10,  1.13s/it]
overall:  48%|████▊     | 1914/4000 [41:28<38:22,  1.10s/it]

train:  54%|█████▍    | 1914/3515 [41:23<29:27,  1.10s/it]
overall:  48%|████▊     | 1915/4000 [41:29<37:24,  1.08s/it]

train:  54%|█████▍    | 1915/3515 [41:24<28:42,  1.08s/it]
overall:  48%|████▊     | 1916/4000 [41:30<29:27,  1.18it/s]

train:  55%|█████▍    | 1916/3515 [41:24<22:36,  1.18it/s]
overall:  48%|████▊     | 1917/4000 [41:31<34:05,  1.02it/s]

train:  55%|█████▍    | 1917/3515 [41:26<26:09,  1.02it/s]
overall:  48%|████▊     | 1918/4000 [41:32<37:27,  1.08s/it]

train:  55%|█████▍    | 1918/3515 [41:27<28:43,  1.08s/it]
overall:  48%|████▊     | 1919/4000 [41:34<39:07,  1.13s/it]

train:  55%|█████▍    | 1919/3515 [41:28<30:00,  1.13s/it]
overall:  48%|████▊     | 1920/4000 [41:35<40:45,  1.18s/it]

train:  55%|█████▍    | 1920/3515 [41:29<31:15,  1.18s/it]
overall:  48%|████▊     | 1921/4000 [41:36<41:54,  1.21s/it]

train:  55%|█████▍    | 1921/3515 [41:31<32:08,  1.21s/it]
overall:  48%|████▊     | 1922/4000 [41:37<41:09,  1.19s/it]

train:  55%|█████▍    | 1922/3515 [41:32<31:32,  1.19s/it]
overall:  48%|████▊     | 1923/4000 [41:39<42:50,  1.24s/it]

train:  55%|█████▍    | 1923/3515 [41:33<32:50,  1.24s/it]
overall:  48%|████▊     | 1924/4000 [41:40<43:22,  1.25s/it]

train:  55%|█████▍    | 1924/3515 [41:34<33:14,  1.25s/it]
overall:  48%|████▊     | 1925/4000 [41:41<44:21,  1.28s/it]

train:  55%|█████▍    | 1925/3515 [41:36<33:59,  1.28s/it]
overall:  48%|████▊     | 1926/4000 [41:43<45:03,  1.30s/it]

train:  55%|█████▍    | 1926/3515 [41:37<34:30,  1.30s/it]
overall:  48%|████▊     | 1927/4000 [41:43<34:41,  1.00s/it]

train:  55%|█████▍    | 1927/3515 [41:37<26:34,  1.00s/it]
overall:  48%|████▊     | 1928/4000 [41:44<37:53,  1.10s/it]

train:  55%|█████▍    | 1928/3515 [41:39<29:01,  1.10s/it]
overall:  48%|████▊     | 1929/4000 [41:46<40:06,  1.16s/it]

train:  55%|█████▍    | 1929/3515 [41:40<30:42,  1.16s/it]
overall:  48%|████▊     | 1930/4000 [41:47<41:10,  1.19s/it]

train:  55%|█████▍    | 1930/3515 [41:41<31:31,  1.19s/it]
overall:  48%|████▊     | 1931/4000 [41:48<41:46,  1.21s/it]

train:  55%|█████▍    | 1931/3515 [41:43<31:59,  1.21s/it]
overall:  48%|████▊     | 1932/4000 [41:49<42:33,  1.23s/it]

train:  55%|█████▍    | 1932/3515 [41:44<32:34,  1.23s/it]
overall:  48%|████▊     | 1933/4000 [41:51<42:02,  1.22s/it]

train:  55%|█████▍    | 1933/3515 [41:45<32:10,  1.22s/it]
overall:  48%|████▊     | 1934/4000 [41:52<42:52,  1.24s/it]

train:  55%|█████▌    | 1934/3515 [41:46<32:48,  1.24s/it]
overall:  48%|████▊     | 1935/4000 [41:53<44:18,  1.29s/it]

train:  55%|█████▌    | 1935/3515 [41:48<33:54,  1.29s/it]
overall:  48%|████▊     | 1936/4000 [41:55<44:36,  1.30s/it]

train:  55%|█████▌    | 1936/3515 [41:49<34:07,  1.30s/it]
overall:  48%|████▊     | 1937/4000 [41:56<44:12,  1.29s/it]

train:  55%|█████▌    | 1937/3515 [41:50<33:48,  1.29s/it]
overall:  48%|████▊     | 1938/4000 [41:57<44:18,  1.29s/it]

train:  55%|█████▌    | 1938/3515 [41:52<33:53,  1.29s/it]
overall:  48%|████▊     | 1939/4000 [41:58<44:19,  1.29s/it]

train:  55%|█████▌    | 1939/3515 [41:53<33:53,  1.29s/it]
overall:  48%|████▊     | 1940/4000 [42:00<42:45,  1.25s/it]

train:  55%|█████▌    | 1940/3515 [41:54<32:41,  1.25s/it]
overall:  49%|████▊     | 1941/4000 [42:01<42:40,  1.24s/it]

train:  55%|█████▌    | 1941/3515 [41:55<32:37,  1.24s/it]
overall:  49%|████▊     | 1942/4000 [42:02<43:11,  1.26s/it]

train:  55%|█████▌    | 1942/3515 [41:57<33:01,  1.26s/it]
overall:  49%|████▊     | 1943/4000 [42:03<43:28,  1.27s/it]

train:  55%|█████▌    | 1943/3515 [41:58<33:13,  1.27s/it]
overall:  49%|████▊     | 1944/4000 [42:05<42:45,  1.25s/it]

train:  55%|█████▌    | 1944/3515 [41:59<32:40,  1.25s/it]
overall:  49%|████▊     | 1945/4000 [42:06<43:03,  1.26s/it]

train:  55%|█████▌    | 1945/3515 [42:00<32:53,  1.26s/it]
overall:  49%|████▊     | 1946/4000 [42:07<43:40,  1.28s/it]

train:  55%|█████▌    | 1946/3515 [42:02<33:21,  1.28s/it]
overall:  49%|████▊     | 1947/4000 [42:08<43:56,  1.28s/it]

train:  55%|█████▌    | 1947/3515 [42:03<33:33,  1.28s/it]
overall:  49%|████▊     | 1948/4000 [42:09<40:28,  1.18s/it]

train:  55%|█████▌    | 1948/3515 [42:04<30:54,  1.18s/it]
overall:  49%|████▊     | 1949/4000 [42:11<40:37,  1.19s/it]

train:  55%|█████▌    | 1949/3515 [42:05<31:01,  1.19s/it]
overall:  49%|████▉     | 1950/4000 [42:12<42:15,  1.24s/it]

train:  55%|█████▌    | 1950/3515 [42:06<32:15,  1.24s/it]
overall:  49%|████▉     | 1951/4000 [42:13<42:49,  1.25s/it]

train:  56%|█████▌    | 1951/3515 [42:08<32:41,  1.25s/it]
overall:  49%|████▉     | 1952/4000 [42:14<40:20,  1.18s/it]

train:  56%|█████▌    | 1952/3515 [42:09<30:47,  1.18s/it]
overall:  49%|████▉     | 1953/4000 [42:16<47:09,  1.38s/it]

train:  56%|█████▌    | 1953/3515 [42:11<35:59,  1.38s/it]
overall:  49%|████▉     | 1954/4000 [42:17<46:07,  1.35s/it]

train:  56%|█████▌    | 1954/3515 [42:12<35:11,  1.35s/it]
overall:  49%|████▉     | 1955/4000 [42:19<44:19,  1.30s/it]

train:  56%|█████▌    | 1955/3515 [42:13<33:48,  1.30s/it]
overall:  49%|████▉     | 1956/4000 [42:20<43:08,  1.27s/it]

train:  56%|█████▌    | 1956/3515 [42:14<32:54,  1.27s/it]
overall:  49%|████▉     | 1957/4000 [42:21<42:52,  1.26s/it]

train:  56%|█████▌    | 1957/3515 [42:16<32:41,  1.26s/it]
overall:  49%|████▉     | 1958/4000 [42:22<42:52,  1.26s/it]

train:  56%|█████▌    | 1958/3515 [42:17<32:41,  1.26s/it]
overall:  49%|████▉     | 1959/4000 [42:24<43:10,  1.27s/it]

train:  56%|█████▌    | 1959/3515 [42:18<32:54,  1.27s/it]
overall:  49%|████▉     | 1960/4000 [42:25<43:41,  1.28s/it]

train:  56%|█████▌    | 1960/3515 [42:19<33:17,  1.28s/it]
overall:  49%|████▉     | 1961/4000 [42:26<44:32,  1.31s/it]

train:  56%|█████▌    | 1961/3515 [42:21<33:56,  1.31s/it]
overall:  49%|████▉     | 1962/4000 [42:28<44:24,  1.31s/it]

train:  56%|█████▌    | 1962/3515 [42:22<33:50,  1.31s/it]
overall:  49%|████▉     | 1963/4000 [42:29<43:23,  1.28s/it]

train:  56%|█████▌    | 1963/3515 [42:23<33:03,  1.28s/it]
overall:  49%|████▉     | 1964/4000 [42:30<43:34,  1.28s/it]

train:  56%|█████▌    | 1964/3515 [42:25<33:11,  1.28s/it]
overall:  49%|████▉     | 1965/4000 [42:31<40:41,  1.20s/it]

train:  56%|█████▌    | 1965/3515 [42:26<30:59,  1.20s/it]
overall:  49%|████▉     | 1966/4000 [42:32<41:52,  1.24s/it]

train:  56%|█████▌    | 1966/3515 [42:27<31:53,  1.24s/it]
overall:  49%|████▉     | 1967/4000 [42:34<41:29,  1.22s/it]

train:  56%|█████▌    | 1967/3515 [42:28<31:35,  1.22s/it]
overall:  49%|████▉     | 1968/4000 [42:34<34:27,  1.02s/it]

train:  56%|█████▌    | 1968/3515 [42:29<26:13,  1.02s/it]
overall:  49%|████▉     | 1969/4000 [42:35<36:46,  1.09s/it]

train:  56%|█████▌    | 1969/3515 [42:30<27:59,  1.09s/it]
overall:  49%|████▉     | 1970/4000 [42:37<38:47,  1.15s/it]

train:  56%|█████▌    | 1970/3515 [42:31<29:31,  1.15s/it]
overall:  49%|████▉     | 1971/4000 [42:38<39:48,  1.18s/it]

train:  56%|█████▌    | 1971/3515 [42:32<30:17,  1.18s/it]
overall:  49%|████▉     | 1972/4000 [42:39<41:12,  1.22s/it]

train:  56%|█████▌    | 1972/3515 [42:34<31:21,  1.22s/it]
overall:  49%|████▉     | 1973/4000 [42:41<42:21,  1.25s/it]

train:  56%|█████▌    | 1973/3515 [42:35<32:13,  1.25s/it]
overall:  49%|████▉     | 1974/4000 [42:42<42:36,  1.26s/it]

train:  56%|█████▌    | 1974/3515 [42:36<32:24,  1.26s/it]
overall:  49%|████▉     | 1975/4000 [42:42<34:27,  1.02s/it]

train:  56%|█████▌    | 1975/3515 [42:37<26:12,  1.02s/it]
overall:  49%|████▉     | 1976/4000 [42:44<37:17,  1.11s/it]

train:  56%|█████▌    | 1976/3515 [42:38<28:21,  1.11s/it]
overall:  49%|████▉     | 1977/4000 [42:45<43:42,  1.30s/it]

train:  56%|█████▌    | 1977/3515 [42:40<33:13,  1.30s/it]
overall:  49%|████▉     | 1978/4000 [42:47<43:06,  1.28s/it]

train:  56%|█████▋    | 1978/3515 [42:41<32:46,  1.28s/it]
overall:  49%|████▉     | 1979/4000 [42:48<43:07,  1.28s/it]

train:  56%|█████▋    | 1979/3515 [42:42<32:46,  1.28s/it]
overall:  50%|████▉     | 1980/4000 [42:49<42:25,  1.26s/it]

train:  56%|█████▋    | 1980/3515 [42:44<32:14,  1.26s/it]
overall:  50%|████▉     | 1981/4000 [42:50<40:55,  1.22s/it]

train:  56%|█████▋    | 1981/3515 [42:45<31:05,  1.22s/it]
overall:  50%|████▉     | 1982/4000 [42:51<41:54,  1.25s/it]

train:  56%|█████▋    | 1982/3515 [42:46<31:49,  1.25s/it]
overall:  50%|████▉     | 1983/4000 [42:53<43:17,  1.29s/it]

train:  56%|█████▋    | 1983/3515 [42:47<32:53,  1.29s/it]
overall:  50%|████▉     | 1984/4000 [42:54<43:39,  1.30s/it]

train:  56%|█████▋    | 1984/3515 [42:49<33:09,  1.30s/it]
overall:  50%|████▉     | 1985/4000 [42:56<43:33,  1.30s/it]

train:  56%|█████▋    | 1985/3515 [42:50<33:04,  1.30s/it]
overall:  50%|████▉     | 1986/4000 [42:57<43:22,  1.29s/it]

train:  57%|█████▋    | 1986/3515 [42:51<32:55,  1.29s/it]
overall:  50%|████▉     | 1987/4000 [42:58<43:18,  1.29s/it]

train:  57%|█████▋    | 1987/3515 [42:53<32:52,  1.29s/it]
overall:  50%|████▉     | 1988/4000 [42:59<42:15,  1.26s/it]

train:  57%|█████▋    | 1988/3515 [42:54<32:04,  1.26s/it]
overall:  50%|████▉     | 1989/4000 [43:01<42:05,  1.26s/it]

train:  57%|█████▋    | 1989/3515 [42:55<31:56,  1.26s/it]
overall:  50%|████▉     | 1990/4000 [43:02<41:50,  1.25s/it]

train:  57%|█████▋    | 1990/3515 [42:56<31:45,  1.25s/it]
overall:  50%|████▉     | 1991/4000 [43:03<42:01,  1.25s/it]

train:  57%|█████▋    | 1991/3515 [42:58<31:52,  1.25s/it]
overall:  50%|████▉     | 1992/4000 [43:04<42:30,  1.27s/it]

train:  57%|█████▋    | 1992/3515 [42:59<32:14,  1.27s/it]
overall:  50%|████▉     | 1993/4000 [43:06<43:09,  1.29s/it]

train:  57%|█████▋    | 1993/3515 [43:00<32:43,  1.29s/it]
overall:  50%|████▉     | 1994/4000 [43:07<41:14,  1.23s/it]

train:  57%|█████▋    | 1994/3515 [43:01<31:15,  1.23s/it]
overall:  50%|████▉     | 1995/4000 [43:08<40:56,  1.23s/it]

train:  57%|█████▋    | 1995/3515 [43:02<31:02,  1.23s/it]
overall:  50%|████▉     | 1996/4000 [43:09<40:58,  1.23s/it]

train:  57%|█████▋    | 1996/3515 [43:04<31:03,  1.23s/it]
overall:  50%|████▉     | 1997/4000 [43:11<42:11,  1.26s/it]

train:  57%|█████▋    | 1997/3515 [43:05<31:58,  1.26s/it]
overall:  50%|████▉     | 1998/4000 [43:12<42:36,  1.28s/it]

train:  57%|█████▋    | 1998/3515 [43:06<32:17,  1.28s/it]
overall:  50%|████▉     | 1999/4000 [43:13<42:18,  1.27s/it]

train:  57%|█████▋    | 1999/3515 [43:08<32:03,  1.27s/it]dev loss: 2.1180362701416016
dev per: 0.610057232049948
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.8491790294647217
train per: 0.5557971014492754
train loss: 1.8360668420791626
train per: 0.5384521275294233
train loss: 1.820849061012268
train per: 0.5376822916666667
train loss: 1.7969955205917358
train per: 0.5321743498158277
train loss: 1.8719428777694702
train per: 0.55512950368977
train loss: 1.8014624118804932
train per: 0.5336530988386294
train loss: 1.7824596166610718
train per: 0.5276060070671378
train loss: 1.8037859201431274
train per: 0.5395414256143517
train loss: 1.8142330646514893
train per: 0.5380877440017671
train loss: 1.7950109243392944
train per: 0.5365734588158716
train loss: 1.8307840824127197
train per: 0.5486498291410806
train loss: 1.8245484828948975
train per: 0.5452175368939702
train loss: 1.8085095882415771
train per: 0.5399112034762894
train loss: 1.7998559474945068
train per: 0.5361518135959644
train loss: 1.792165994644165
train per: 0.5324107793153678
train loss: 1.8049609661102295
train per: 0.5379068809229501
train loss: 1.7976659536361694
train per: 0.539114411748283
train loss: 1.7956209182739258
train per: 0.5339697652629714
train loss: 1.7917401790618896
train per: 0.537780821196239
train loss: 1.767443299293518
train per: 0.5310842095109481
train loss: 1.7712841033935547
train per: 0.5276327762080361
train loss: 1.7590967416763306
train per: 0.52872096595071
train loss: 1.7840192317962646
train per: 0.5330240111355992
train loss: 1.7510631084442139
train per: 0.5203703230096417
train loss: 1.7729583978652954
train per: 0.529253828224117
train loss: 1.8184211254119873
train per: 0.5369244759261032
train loss: 1.7968616485595703
train per: 0.5414385399892646
train loss: 1.771363615989685
train per: 0.5259400764126282
train loss: 1.8037941455841064
train per: 0.5377698673200499
train loss: 1.765389084815979
train per: 0.5266122865154219
train loss: 1.7712643146514893
train per: 0.5285463379028763
train loss: 1.8039295673370361
train per: 0.5404249285089688
train loss: 1.7976276874542236
train per: 0.5368364489945983
train loss: 1.751562476158142
train per: 0.5263358607384808
train loss: 1.7648413181304932
train per: 0.5284983511204591
train loss: 1.7725613117218018
train per: 0.5279093161910837
train loss: 1.7317259311676025
train per: 0.5198099002446829
train loss: 1.7501440048217773
train per: 0.5244869285965177
train loss: 1.7710281610488892
train per: 0.5307958310158876
train loss: 1.778057336807251
train per: 0.5309567079090841
train loss: 1.735988974571228
train per: 0.517171567538207
train loss: 1.8101816177368164
train per: 0.5341164015829405
train loss: 1.766737699508667
train per: 0.5324792313081773
train loss: 1.7133073806762695
train per: 0.5203836348185019
train loss: 1.7979825735092163
train per: 0.5358844513183825
train loss: 1.7716448307037354
train per: 0.528957928802589
train loss: 1.800027847290039
train per: 0.5330366393519826
train loss: 1.7377941608428955
train per: 0.5229123272107555
train loss: 1.7685810327529907
train per: 0.5251068509585344
train loss: 1.7504627704620361
train per: 0.5199302046273425
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   4%|▍         | 110/2703 [00:00<00:02, 1099.47it/s]


word -> phonemes:  10%|▉         | 267/2703 [00:00<00:01, 1375.70it/s]


word -> phonemes:  15%|█▍        | 405/2703 [00:00<00:01, 1334.92it/s]


word -> phonemes:  20%|█▉        | 539/2703 [00:00<00:01, 1209.83it/s]


word -> phonemes:  26%|██▌       | 693/2703 [00:00<00:01, 1318.75it/s]


word -> phonemes:  31%|███       | 827/2703 [00:00<00:01, 1295.92it/s]


word -> phonemes:  35%|███▌      | 958/2703 [00:00<00:01, 1242.74it/s]


word -> phonemes:  41%|████      | 1100/2703 [00:00<00:01, 1288.89it/s]


word -> phonemes:  46%|████▌     | 1230/2703 [00:00<00:01, 1256.30it/s]


word -> phonemes:  51%|█████     | 1380/2703 [00:01<00:00, 1326.71it/s]


word -> phonemes:  58%|█████▊    | 1574/2703 [00:01<00:00, 1505.84it/s]


word -> phonemes:  64%|██████▍   | 1726/2703 [00:01<00:00, 1481.27it/s]


word -> phonemes:  69%|██████▉   | 1876/2703 [00:01<00:00, 1482.50it/s]


word -> phonemes:  76%|███████▌  | 2060/2703 [00:01<00:00, 1585.90it/s]


word -> phonemes:  83%|████████▎ | 2232/2703 [00:01<00:00, 1624.37it/s]


word -> phonemes:  89%|████████▊ | 2395/2703 [00:01<00:00, 1554.05it/s]


word -> phonemes:  95%|█████████▌| 2571/2703 [00:01<00:00, 1583.04it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1430.04it/s]



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overall:  74%|███████▎  | 2943/4000 [1:05:23<22:12,  1.26s/it]

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overall:  74%|███████▎  | 2944/4000 [1:05:24<21:51,  1.24s/it]

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train:  84%|████████▍ | 2949/3515 [1:05:25<10:57,  1.16s/it]
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train:  84%|████████▍ | 2950/3515 [1:05:26<11:29,  1.22s/it]
overall:  74%|███████▍  | 2951/4000 [1:05:33<22:02,  1.26s/it]

train:  84%|████████▍ | 2951/3515 [1:05:27<11:51,  1.26s/it]
overall:  74%|███████▍  | 2952/4000 [1:05:34<22:08,  1.27s/it]

train:  84%|████████▍ | 2952/3515 [1:05:29<11:53,  1.27s/it]
overall:  74%|███████▍  | 2953/4000 [1:05:35<21:59,  1.26s/it]

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train:  84%|████████▍ | 2954/3515 [1:05:31<11:55,  1.28s/it]
overall:  74%|███████▍  | 2955/4000 [1:05:38<21:56,  1.26s/it]

train:  84%|████████▍ | 2955/3515 [1:05:33<11:45,  1.26s/it]
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train:  84%|████████▍ | 2956/3515 [1:05:34<11:50,  1.27s/it]
overall:  74%|███████▍  | 2957/4000 [1:05:41<22:15,  1.28s/it]

train:  84%|████████▍ | 2957/3515 [1:05:35<11:54,  1.28s/it]
overall:  74%|███████▍  | 2958/4000 [1:05:42<21:02,  1.21s/it]

train:  84%|████████▍ | 2958/3515 [1:05:36<11:14,  1.21s/it]
overall:  74%|███████▍  | 2959/4000 [1:05:42<17:06,  1.01it/s]

train:  84%|████████▍ | 2959/3515 [1:05:37<09:08,  1.01it/s]
overall:  74%|███████▍  | 2960/4000 [1:05:43<18:36,  1.07s/it]

train:  84%|████████▍ | 2960/3515 [1:05:38<09:55,  1.07s/it]
overall:  74%|███████▍  | 2961/4000 [1:05:44<14:25,  1.20it/s]

train:  84%|████████▍ | 2961/3515 [1:05:38<07:41,  1.20it/s]
overall:  74%|███████▍  | 2962/4000 [1:05:45<16:46,  1.03it/s]

train:  84%|████████▍ | 2962/3515 [1:05:39<08:56,  1.03it/s]
overall:  74%|███████▍  | 2963/4000 [1:05:46<18:10,  1.05s/it]

train:  84%|████████▍ | 2963/3515 [1:05:41<09:40,  1.05s/it]
overall:  74%|███████▍  | 2964/4000 [1:05:48<19:29,  1.13s/it]

train:  84%|████████▍ | 2964/3515 [1:05:42<10:21,  1.13s/it]
overall:  74%|███████▍  | 2965/4000 [1:05:49<19:29,  1.13s/it]

train:  84%|████████▍ | 2965/3515 [1:05:43<10:21,  1.13s/it]
overall:  74%|███████▍  | 2966/4000 [1:05:50<22:22,  1.30s/it]

train:  84%|████████▍ | 2966/3515 [1:05:45<11:52,  1.30s/it]
overall:  74%|███████▍  | 2967/4000 [1:05:52<22:37,  1.31s/it]

train:  84%|████████▍ | 2967/3515 [1:05:46<12:00,  1.31s/it]
overall:  74%|███████▍  | 2968/4000 [1:05:53<22:16,  1.30s/it]

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overall:  74%|███████▍  | 2969/4000 [1:05:54<21:46,  1.27s/it]

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train:  85%|████████▍ | 2971/3515 [1:05:51<09:32,  1.05s/it]
overall:  74%|███████▍  | 2972/4000 [1:05:57<18:50,  1.10s/it]

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overall:  74%|███████▍  | 2973/4000 [1:05:58<19:54,  1.16s/it]

train:  85%|████████▍ | 2973/3515 [1:05:53<10:30,  1.16s/it]
overall:  74%|███████▍  | 2974/4000 [1:06:00<20:34,  1.20s/it]

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overall:  74%|███████▍  | 2975/4000 [1:06:01<21:21,  1.25s/it]

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overall:  74%|███████▍  | 2976/4000 [1:06:02<17:18,  1.01s/it]

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overall:  74%|███████▍  | 2978/4000 [1:06:04<19:24,  1.14s/it]

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overall:  74%|███████▍  | 2979/4000 [1:06:05<16:35,  1.03it/s]

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overall:  75%|███████▍  | 2983/4000 [1:06:09<16:26,  1.03it/s]

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overall:  75%|███████▍  | 2986/4000 [1:06:13<19:48,  1.17s/it]

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overall:  75%|███████▍  | 2987/4000 [1:06:14<20:33,  1.22s/it]

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overall:  75%|███████▍  | 2988/4000 [1:06:15<21:12,  1.26s/it]

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overall:  75%|███████▍  | 2990/4000 [1:06:18<21:20,  1.27s/it]

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overall:  75%|███████▍  | 2991/4000 [1:06:19<20:58,  1.25s/it]

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overall:  75%|███████▍  | 2994/4000 [1:06:22<18:00,  1.07s/it]

train:  85%|████████▌ | 2994/3515 [1:06:17<09:19,  1.07s/it]
overall:  75%|███████▍  | 2995/4000 [1:06:23<19:05,  1.14s/it]

train:  85%|████████▌ | 2995/3515 [1:06:18<09:52,  1.14s/it]
overall:  75%|███████▍  | 2996/4000 [1:06:25<20:07,  1.20s/it]

train:  85%|████████▌ | 2996/3515 [1:06:19<10:24,  1.20s/it]
overall:  75%|███████▍  | 2997/4000 [1:06:26<20:26,  1.22s/it]

train:  85%|████████▌ | 2997/3515 [1:06:21<10:33,  1.22s/it]
overall:  75%|███████▍  | 2998/4000 [1:06:27<20:49,  1.25s/it]

train:  85%|████████▌ | 2998/3515 [1:06:22<10:44,  1.25s/it]
overall:  75%|███████▍  | 2999/4000 [1:06:28<19:39,  1.18s/it]

train:  85%|████████▌ | 2999/3515 [1:06:23<10:08,  1.18s/it]dev loss: 2.041175603866577
dev per: 0.5830853277835588
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 1.7294164896011353
train per: 0.5229991367616229
train loss: 1.7370355129241943
train per: 0.5190297868174364
train loss: 1.7188924551010132
train per: 0.5106501025208057
train loss: 1.7372329235076904
train per: 0.5221230008576762
train loss: 1.7632758617401123
train per: 0.5249987624375031
train loss: 1.749347448348999
train per: 0.5242801065085508
train loss: 1.7702051401138306
train per: 0.5292139802389029
train loss: 1.8252366781234741
train per: 0.5379296037618422
train loss: 1.7367486953735352
train per: 0.5170969660916122
train loss: 1.7694623470306396
train per: 0.521456013544312
train loss: 1.7838321924209595
train per: 0.5336502080968596
train loss: 1.7565723657608032
train per: 0.5263078728076772
train loss: 1.761348009109497
train per: 0.5322487942624384
train loss: 1.7316862344741821
train per: 0.5163352618017405
train loss: 1.7743499279022217
train per: 0.5269484390588121
train loss: 1.740949034690857
train per: 0.523774545810685
train loss: 1.7650359869003296
train per: 0.530840189478933
train loss: 1.7456213235855103
train per: 0.5246617692940408
train loss: 1.7859199047088623
train per: 0.5329777248689361
train loss: 1.7518539428710938
train per: 0.5222785206853322
train loss: 1.7391598224639893
train per: 0.5264281635591748
train loss: 1.7373911142349243
train per: 0.5211388665055063
train loss: 1.7845970392227173
train per: 0.5308330756974007
train loss: 1.7351795434951782
train per: 0.5235735773693657
train loss: 1.725724458694458
train per: 0.524647683117787
train loss: 1.751270055770874
train per: 0.5282717681390766
train loss: 1.7348066568374634
train per: 0.5204156448309862
train loss: 1.7609798908233643
train per: 0.5216982765015702
train loss: 1.73158860206604
train per: 0.5214022312467909
train loss: 1.7649004459381104
train per: 0.5295505369473865
train loss: 1.7389827966690063
train per: 0.5181538461538462
train loss: 1.7543258666992188
train per: 0.5267657023716446
train loss: 1.7432657480239868
train per: 0.52750209845455
train loss: 1.7679064273834229
train per: 0.5335915857750951
train loss: 1.745471715927124
train per: 0.5236402512361352
train loss: 1.719858169555664
train per: 0.5249209496757596
train loss: 1.748703956604004
train per: 0.5215493172242246
train loss: 1.7663789987564087
train per: 0.533089674977157
train loss: 1.7344163656234741
train per: 0.5232444649920378
train loss: 1.7422672510147095
train per: 0.5237057484623953
train loss: 1.7353318929672241
train per: 0.5172182896498948
train loss: 1.7260671854019165
train per: 0.5242662923392862
train loss: 1.7448114156723022
train per: 0.5243666227628418
train loss: 1.7924543619155884
train per: 0.5343388882131127
train loss: 1.751233696937561
train per: 0.5308076933252203
train loss: 1.7482078075408936
train per: 0.5217229578931707
train loss: 1.763405203819275
train per: 0.531212774046382
train loss: 1.7297544479370117
train per: 0.5195569483983636
train loss: 1.726048231124878
train per: 0.5227648785695223
train loss: 1.7733596563339233
train per: 0.5286788348780026
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   5%|▌         | 138/2703 [00:00<00:01, 1379.74it/s]


word -> phonemes:  10%|█         | 276/2703 [00:00<00:01, 1331.72it/s]


word -> phonemes:  15%|█▌        | 410/2703 [00:00<00:01, 1309.64it/s]


word -> phonemes:  20%|██        | 549/2703 [00:00<00:01, 1336.67it/s]


word -> phonemes:  27%|██▋       | 729/2703 [00:00<00:01, 1498.86it/s]


word -> phonemes:  33%|███▎      | 880/2703 [00:00<00:01, 1267.11it/s]


word -> phonemes:  37%|███▋      | 1013/2703 [00:00<00:01, 1269.07it/s]


word -> phonemes:  42%|████▏     | 1144/2703 [00:00<00:01, 1249.21it/s]


word -> phonemes:  47%|████▋     | 1276/2703 [00:00<00:01, 1267.35it/s]


word -> phonemes:  53%|█████▎    | 1434/2703 [00:01<00:00, 1351.56it/s]


word -> phonemes:  59%|█████▉    | 1607/2703 [00:01<00:00, 1461.69it/s]


word -> phonemes:  66%|██████▌   | 1784/2703 [00:01<00:00, 1550.96it/s]


word -> phonemes:  72%|███████▏  | 1941/2703 [00:01<00:00, 1499.44it/s]


word -> phonemes:  77%|███████▋  | 2093/2703 [00:01<00:00, 1499.31it/s]


word -> phonemes:  83%|████████▎ | 2244/2703 [00:01<00:00, 1401.08it/s]


word -> phonemes:  88%|████████▊ | 2386/2703 [00:01<00:00, 1358.02it/s]


word -> phonemes:  93%|█████████▎| 2524/2703 [00:01<00:00, 1359.34it/s]


word -> phonemes:  99%|█████████▉| 2687/2703 [00:01<00:00, 1423.94it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1377.80it/s]



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


dev:   0%|          | 1/2703 [00:01<1:10:16,  1.56s/it]


dev:   0%|          | 2/2703 [00:01<36:18,  1.24it/s]  


dev:   0%|          | 3/2703 [00:02<24:34,  1.83it/s]


dev:   0%|          | 4/2703 [00:02<19:17,  2.33it/s]


dev:   0%|          | 5/2703 [00:02<16:09,  2.78it/s]


dev:   0%|          | 6/2703 [00:02<14:10,  3.17it/s]


dev:   0%|          | 7/2703 [00:03<13:09,  3.42it/s]


dev:   0%|          | 8/2703 [00:03<12:07,  3.70it/s]


dev:   0%|          | 9/2703 [00:03<11:32,  3.89it/s]


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train: 100%|█████████▉| 3505/3515 [1:19:59<00:11,  1.15s/it]
overall:  88%|████████▊ | 3506/4000 [1:20:06<09:55,  1.21s/it]

train: 100%|█████████▉| 3506/3515 [1:20:00<00:10,  1.21s/it]
overall:  88%|████████▊ | 3507/4000 [1:20:07<10:15,  1.25s/it]

train: 100%|█████████▉| 3507/3515 [1:20:02<00:09,  1.25s/it]
overall:  88%|████████▊ | 3508/4000 [1:20:08<10:19,  1.26s/it]

train: 100%|█████████▉| 3508/3515 [1:20:03<00:08,  1.26s/it]
overall:  88%|████████▊ | 3509/4000 [1:20:10<10:09,  1.24s/it]

train: 100%|█████████▉| 3509/3515 [1:20:04<00:07,  1.24s/it]
overall:  88%|████████▊ | 3510/4000 [1:20:10<08:24,  1.03s/it]

train: 100%|█████████▉| 3510/3515 [1:20:05<00:05,  1.03s/it]
overall:  88%|████████▊ | 3511/4000 [1:20:11<07:50,  1.04it/s]

train: 100%|█████████▉| 3511/3515 [1:20:05<00:03,  1.04it/s]
overall:  88%|████████▊ | 3512/4000 [1:20:12<08:36,  1.06s/it]

train: 100%|█████████▉| 3512/3515 [1:20:07<00:03,  1.06s/it]
overall:  88%|████████▊ | 3513/4000 [1:20:13<08:59,  1.11s/it]

train: 100%|█████████▉| 3513/3515 [1:20:08<00:02,  1.11s/it]
overall:  88%|████████▊ | 3514/4000 [1:20:15<09:25,  1.16s/it]

train: 100%|█████████▉| 3514/3515 [1:20:09<00:01,  1.16s/it]
overall:  88%|████████▊ | 3515/4000 [1:20:16<09:51,  1.22s/it]

train: 100%|██████████| 3515/3515 [1:20:11<00:00,  1.22s/it]403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
403-128339-0009 Failed!!!
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403-128339-0009 Failed!!!
/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!
403-128339-0009 Failed!!!

train: 100%|██████████| 3515/3515 [1:20:11<00:00,  1.37s/it]
dev loss: 2.0641815662384033
dev per: 0.5906867845993756
train loss: 1.768157958984375
train per: 0.5254452328368028
train loss: 1.7389907836914062
train per: 0.5263589887903944
train loss: 1.7130800485610962
train per: 0.5161594938501853
train loss: 1.7512661218643188
train per: 0.5268063529938111
train loss: 1.767186164855957
train per: 0.5286329785716324
train loss: 1.7754894495010376
train per: 0.5328194470021835
train loss: 1.750440001487732
train per: 0.5263725305231383
train loss: 1.749948501586914
train per: 0.5220233500578927
train loss: 1.7158613204956055
train per: 0.5144962520645407
train loss: 1.725977897644043
train per: 0.5195949026854496
train loss: 1.7173582315444946
train per: 0.5230983619488339
train loss: 1.7243549823760986
train per: 0.520199631013766
train loss: 1.758007287979126
train per: 0.5263144908583977
train loss: 1.714909315109253
train per: 0.5207861650368515
train loss: 1.738417387008667
train per: 0.5180587177950868
train loss: 1.7254234552383423
train per: 0.5158072398418017
train loss: 1.7389957904815674
train per: 0.5242041987340043
train loss: 1.7078371047973633
train per: 0.5136086228959543
train loss: 1.7090851068496704
train per: 0.5178286852589642
train loss: 1.7185132503509521
train per: 0.5161140197789412
train loss: 1.7291984558105469
train per: 0.5184545937334042
train loss: 1.771852731704712
train per: 0.5360063940322366
train loss: 1.7377411127090454
train per: 0.521076032688343
train loss: 1.7037006616592407
train per: 0.5093713804359271
train loss: 1.7612340450286865
train per: 0.5258120448503063
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:   4%|▍         | 138/3515 [00:00<00:02, 1375.07it/s]

word -> phonemes:   8%|▊         | 284/3515 [00:00<00:02, 1422.84it/s]

word -> phonemes:  12%|█▏        | 430/3515 [00:00<00:02, 1434.68it/s]

word -> phonemes:  16%|█▋        | 574/3515 [00:00<00:02, 1370.13it/s]

word -> phonemes:  21%|██        | 731/3515 [00:00<00:01, 1438.66it/s]

word -> phonemes:  25%|██▍       | 876/3515 [00:00<00:01, 1327.20it/s]

word -> phonemes:  29%|██▉       | 1032/3515 [00:00<00:01, 1396.99it/s]

word -> phonemes:  34%|███▎      | 1180/3515 [00:00<00:01, 1421.84it/s]

word -> phonemes:  38%|███▊      | 1336/3515 [00:00<00:01, 1457.45it/s]

word -> phonemes:  42%|████▏     | 1483/3515 [00:01<00:01, 1387.70it/s]

word -> phonemes:  47%|████▋     | 1636/3515 [00:01<00:01, 1428.14it/s]

word -> phonemes:  51%|█████     | 1780/3515 [00:01<00:01, 1390.96it/s]

word -> phonemes:  56%|█████▌    | 1954/3515 [00:01<00:01, 1491.29it/s]

word -> phonemes:  60%|█████▉    | 2105/3515 [00:01<00:01, 1339.36it/s]

word -> phonemes:  64%|██████▍   | 2257/3515 [00:01<00:00, 1387.77it/s]

word -> phonemes:  68%|██████▊   | 2399/3515 [00:01<00:00, 1238.62it/s]

word -> phonemes:  72%|███████▏  | 2535/3515 [00:01<00:00, 1257.03it/s]

word -> phonemes:  76%|███████▌  | 2665/3515 [00:01<00:00, 1230.09it/s]

word -> phonemes:  80%|████████  | 2817/3515 [00:02<00:00, 1306.97it/s]

word -> phonemes:  84%|████████▍ | 2951/3515 [00:02<00:00, 1276.13it/s]

word -> phonemes:  88%|████████▊ | 3096/3515 [00:02<00:00, 1305.93it/s]

word -> phonemes:  92%|█████████▏| 3235/3515 [00:02<00:00, 1307.49it/s]

word -> phonemes:  96%|█████████▌| 3367/3515 [00:02<00:00, 1264.12it/s]

word -> phonemes:  99%|█████████▉| 3495/3515 [00:02<00:00, 1198.52it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:02<00:00, 1327.70it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:20:23<23:43,  2.94s/it]

train:   0%|          | 1/3515 [00:02<2:33:50,  2.63s/it]
overall:  88%|████████▊ | 3517/4000 [1:20:25<20:10,  2.51s/it]

train:   0%|          | 2/3515 [00:04<1:54:48,  1.96s/it]
overall:  88%|████████▊ | 3518/4000 [1:20:26<17:24,  2.17s/it]

train:   0%|          | 3/3515 [00:05<1:39:01,  1.69s/it]
overall:  88%|████████▊ | 3519/4000 [1:20:27<15:06,  1.88s/it]

train:   0%|          | 4/3515 [00:06<1:28:13,  1.51s/it]
overall:  88%|████████▊ | 3520/4000 [1:20:28<13:41,  1.71s/it]

train:   0%|          | 5/3515 [00:08<1:23:57,  1.44s/it]
overall:  88%|████████▊ | 3521/4000 [1:20:30<13:05,  1.64s/it]

train:   0%|          | 6/3515 [00:09<1:24:44,  1.45s/it]
overall:  88%|████████▊ | 3522/4000 [1:20:31<12:04,  1.52s/it]

train:   0%|          | 7/3515 [00:10<1:20:25,  1.38s/it]
overall:  88%|████████▊ | 3523/4000 [1:20:32<09:31,  1.20s/it]

train:   0%|          | 8/3515 [00:11<1:03:20,  1.08s/it]
overall:  88%|████████▊ | 3524/4000 [1:20:33<09:44,  1.23s/it]

train:   0%|          | 9/3515 [00:12<1:07:14,  1.15s/it]
overall:  88%|████████▊ | 3525/4000 [1:20:34<09:38,  1.22s/it]

train:   0%|          | 10/3515 [00:13<1:08:00,  1.16s/it]
overall:  88%|████████▊ | 3526/4000 [1:20:35<09:53,  1.25s/it]

train:   0%|          | 11/3515 [00:15<1:10:57,  1.21s/it]
overall:  88%|████████▊ | 3527/4000 [1:20:37<09:40,  1.23s/it]

train:   0%|          | 12/3515 [00:16<1:10:08,  1.20s/it]
overall:  88%|████████▊ | 3528/4000 [1:20:38<09:48,  1.25s/it]

train:   0%|          | 13/3515 [00:17<1:11:40,  1.23s/it]
overall:  88%|████████▊ | 3529/4000 [1:20:39<09:49,  1.25s/it]

train:   0%|          | 14/3515 [00:18<1:12:21,  1.24s/it]
overall:  88%|████████▊ | 3530/4000 [1:20:40<09:50,  1.26s/it]

train:   0%|          | 15/3515 [00:19<1:12:46,  1.25s/it]
overall:  88%|████████▊ | 3531/4000 [1:20:42<09:52,  1.26s/it]

train:   0%|          | 16/3515 [00:21<1:13:18,  1.26s/it]
overall:  88%|████████▊ | 3532/4000 [1:20:43<09:59,  1.28s/it]

train:   0%|          | 17/3515 [00:22<1:14:26,  1.28s/it]
overall:  88%|████████▊ | 3533/4000 [1:20:44<10:09,  1.30s/it]

train:   1%|          | 18/3515 [00:23<1:15:51,  1.30s/it]
overall:  88%|████████▊ | 3534/4000 [1:20:46<10:07,  1.30s/it]

train:   1%|          | 19/3515 [00:25<1:15:50,  1.30s/it]
overall:  88%|████████▊ | 3535/4000 [1:20:47<10:11,  1.32s/it]

train:   1%|          | 20/3515 [00:26<1:16:33,  1.31s/it]
overall:  88%|████████▊ | 3536/4000 [1:20:48<10:12,  1.32s/it]

train:   1%|          | 21/3515 [00:27<1:16:49,  1.32s/it]
overall:  88%|████████▊ | 3537/4000 [1:20:50<10:12,  1.32s/it]

train:   1%|          | 22/3515 [00:29<1:17:01,  1.32s/it]
overall:  88%|████████▊ | 3538/4000 [1:20:51<10:06,  1.31s/it]

train:   1%|          | 23/3515 [00:30<1:16:24,  1.31s/it]
overall:  88%|████████▊ | 3539/4000 [1:20:52<10:10,  1.33s/it]

train:   1%|          | 24/3515 [00:31<1:17:05,  1.32s/it]
overall:  88%|████████▊ | 3540/4000 [1:20:54<10:09,  1.32s/it]

train:   1%|          | 25/3515 [00:33<1:17:02,  1.32s/it]
overall:  89%|████████▊ | 3541/4000 [1:20:55<10:08,  1.33s/it]

train:   1%|          | 26/3515 [00:34<1:17:08,  1.33s/it]
overall:  89%|████████▊ | 3542/4000 [1:20:56<09:41,  1.27s/it]

train:   1%|          | 27/3515 [00:35<1:13:51,  1.27s/it]
overall:  89%|████████▊ | 3543/4000 [1:20:57<09:44,  1.28s/it]

train:   1%|          | 28/3515 [00:36<1:14:15,  1.28s/it]
overall:  89%|████████▊ | 3544/4000 [1:20:59<09:27,  1.24s/it]

train:   1%|          | 29/3515 [00:38<1:12:18,  1.24s/it]
overall:  89%|████████▊ | 3545/4000 [1:21:00<09:53,  1.30s/it]

train:   1%|          | 30/3515 [00:39<1:15:41,  1.30s/it]
overall:  89%|████████▊ | 3546/4000 [1:21:01<09:35,  1.27s/it]

train:   1%|          | 31/3515 [00:40<1:13:38,  1.27s/it]
overall:  89%|████████▊ | 3547/4000 [1:21:02<07:42,  1.02s/it]

train:   1%|          | 32/3515 [00:41<59:18,  1.02s/it]  
overall:  89%|████████▊ | 3548/4000 [1:21:03<08:26,  1.12s/it]

train:   1%|          | 33/3515 [00:42<1:05:00,  1.12s/it]
overall:  89%|████████▊ | 3549/4000 [1:21:04<08:53,  1.18s/it]

train:   1%|          | 34/3515 [00:43<1:08:36,  1.18s/it]
overall:  89%|████████▉ | 3550/4000 [1:21:06<09:01,  1.20s/it]

train:   1%|          | 35/3515 [00:45<1:09:46,  1.20s/it]
overall:  89%|████████▉ | 3551/4000 [1:21:07<09:00,  1.20s/it]

train:   1%|          | 36/3515 [00:46<1:09:47,  1.20s/it]
overall:  89%|████████▉ | 3552/4000 [1:21:08<09:13,  1.24s/it]

train:   1%|          | 37/3515 [00:47<1:11:39,  1.24s/it]
overall:  89%|████████▉ | 3553/4000 [1:21:09<09:21,  1.26s/it]

train:   1%|          | 38/3515 [00:48<1:12:44,  1.26s/it]
overall:  89%|████████▉ | 3554/4000 [1:21:11<09:34,  1.29s/it]

train:   1%|          | 39/3515 [00:50<1:14:34,  1.29s/it]
overall:  89%|████████▉ | 3555/4000 [1:21:12<09:32,  1.29s/it]

train:   1%|          | 40/3515 [00:51<1:14:34,  1.29s/it]
overall:  89%|████████▉ | 3556/4000 [1:21:13<09:33,  1.29s/it]

train:   1%|          | 41/3515 [00:52<1:14:48,  1.29s/it]
overall:  89%|████████▉ | 3557/4000 [1:21:15<09:39,  1.31s/it]

train:   1%|          | 42/3515 [00:54<1:15:42,  1.31s/it]
overall:  89%|████████▉ | 3558/4000 [1:21:16<09:06,  1.24s/it]

train:   1%|          | 43/3515 [00:55<1:11:35,  1.24s/it]
overall:  89%|████████▉ | 3559/4000 [1:21:17<09:02,  1.23s/it]

train:   1%|▏         | 44/3515 [00:56<1:11:09,  1.23s/it]
overall:  89%|████████▉ | 3560/4000 [1:21:18<09:17,  1.27s/it]

train:   1%|▏         | 45/3515 [00:57<1:13:15,  1.27s/it]
overall:  89%|████████▉ | 3561/4000 [1:21:20<09:17,  1.27s/it]

train:   1%|▏         | 46/3515 [00:59<1:13:27,  1.27s/it]
overall:  89%|████████▉ | 3562/4000 [1:21:20<07:54,  1.08s/it]

train:   1%|▏         | 47/3515 [00:59<1:02:38,  1.08s/it]
overall:  89%|████████▉ | 3563/4000 [1:21:21<07:33,  1.04s/it]

train:   1%|▏         | 48/3515 [01:00<59:58,  1.04s/it]  
overall:  89%|████████▉ | 3564/4000 [1:21:23<08:09,  1.12s/it]

train:   1%|▏         | 49/3515 [01:02<1:04:53,  1.12s/it]
overall:  89%|████████▉ | 3565/4000 [1:21:24<08:41,  1.20s/it]

train:   1%|▏         | 50/3515 [01:03<1:09:13,  1.20s/it]
overall:  89%|████████▉ | 3566/4000 [1:21:25<08:39,  1.20s/it]

train:   1%|▏         | 51/3515 [01:04<1:09:07,  1.20s/it]
overall:  89%|████████▉ | 3567/4000 [1:21:26<08:57,  1.24s/it]

train:   1%|▏         | 52/3515 [01:06<1:11:40,  1.24s/it]
overall:  89%|████████▉ | 3568/4000 [1:21:28<08:51,  1.23s/it]

train:   2%|▏         | 53/3515 [01:07<1:10:56,  1.23s/it]
overall:  89%|████████▉ | 3569/4000 [1:21:29<09:13,  1.28s/it]

train:   2%|▏         | 54/3515 [01:08<1:14:06,  1.28s/it]
overall:  89%|████████▉ | 3570/4000 [1:21:30<08:59,  1.25s/it]

train:   2%|▏         | 55/3515 [01:09<1:12:17,  1.25s/it]
overall:  89%|████████▉ | 3571/4000 [1:21:32<09:10,  1.28s/it]

train:   2%|▏         | 56/3515 [01:11<1:13:59,  1.28s/it]
overall:  89%|████████▉ | 3572/4000 [1:21:33<09:17,  1.30s/it]

train:   2%|▏         | 57/3515 [01:12<1:15:07,  1.30s/it]
overall:  89%|████████▉ | 3573/4000 [1:21:34<09:22,  1.32s/it]

train:   2%|▏         | 58/3515 [01:13<1:15:50,  1.32s/it]
overall:  89%|████████▉ | 3574/4000 [1:21:36<09:26,  1.33s/it]

train:   2%|▏         | 59/3515 [01:15<1:16:32,  1.33s/it]
overall:  89%|████████▉ | 3575/4000 [1:21:37<09:27,  1.33s/it]

train:   2%|▏         | 60/3515 [01:16<1:16:50,  1.33s/it]
overall:  89%|████████▉ | 3576/4000 [1:21:38<09:20,  1.32s/it]

train:   2%|▏         | 61/3515 [01:17<1:16:07,  1.32s/it]
overall:  89%|████████▉ | 3577/4000 [1:21:40<09:20,  1.33s/it]

train:   2%|▏         | 62/3515 [01:19<1:16:16,  1.33s/it]
overall:  89%|████████▉ | 3578/4000 [1:21:41<09:12,  1.31s/it]

train:   2%|▏         | 63/3515 [01:20<1:15:22,  1.31s/it]
overall:  89%|████████▉ | 3579/4000 [1:21:42<09:11,  1.31s/it]

train:   2%|▏         | 64/3515 [01:21<1:15:18,  1.31s/it]
overall:  90%|████████▉ | 3580/4000 [1:21:43<09:04,  1.30s/it]

train:   2%|▏         | 65/3515 [01:23<1:14:30,  1.30s/it]
overall:  90%|████████▉ | 3581/4000 [1:21:45<08:56,  1.28s/it]

train:   2%|▏         | 66/3515 [01:24<1:13:34,  1.28s/it]
overall:  90%|████████▉ | 3582/4000 [1:21:46<08:53,  1.28s/it]

train:   2%|▏         | 67/3515 [01:25<1:13:19,  1.28s/it]
overall:  90%|████████▉ | 3583/4000 [1:21:47<09:01,  1.30s/it]

train:   2%|▏         | 68/3515 [01:26<1:14:37,  1.30s/it]
overall:  90%|████████▉ | 3584/4000 [1:21:49<08:49,  1.27s/it]

train:   2%|▏         | 69/3515 [01:28<1:13:04,  1.27s/it]
overall:  90%|████████▉ | 3585/4000 [1:21:49<08:02,  1.16s/it]

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overall:  90%|████████▉ | 3586/4000 [1:21:51<07:56,  1.15s/it]

train:   2%|▏         | 71/3515 [01:30<1:06:03,  1.15s/it]
overall:  90%|████████▉ | 3587/4000 [1:21:52<08:21,  1.21s/it]

train:   2%|▏         | 72/3515 [01:31<1:09:40,  1.21s/it]
overall:  90%|████████▉ | 3588/4000 [1:21:53<08:35,  1.25s/it]

train:   2%|▏         | 73/3515 [01:32<1:11:43,  1.25s/it]
overall:  90%|████████▉ | 3589/4000 [1:21:55<08:46,  1.28s/it]

train:   2%|▏         | 74/3515 [01:34<1:13:29,  1.28s/it]
overall:  90%|████████▉ | 3590/4000 [1:21:56<08:57,  1.31s/it]

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overall:  90%|████████▉ | 3591/4000 [1:21:57<08:58,  1.32s/it]

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overall:  90%|████████▉ | 3593/4000 [1:22:00<09:12,  1.36s/it]

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overall:  90%|████████▉ | 3595/4000 [1:22:02<08:36,  1.28s/it]

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overall:  90%|████████▉ | 3596/4000 [1:22:04<08:29,  1.26s/it]

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overall:  90%|████████▉ | 3597/4000 [1:22:05<08:37,  1.28s/it]

train:   2%|▏         | 82/3515 [01:44<1:13:27,  1.28s/it]
overall:  90%|████████▉ | 3598/4000 [1:22:06<08:45,  1.31s/it]

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overall:  90%|████████▉ | 3599/4000 [1:22:08<08:51,  1.33s/it]

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overall:  90%|█████████ | 3600/4000 [1:22:09<08:59,  1.35s/it]

train:   2%|▏         | 85/3515 [01:48<1:17:07,  1.35s/it]
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train:   3%|▎         | 88/3515 [01:52<1:14:35,  1.31s/it]
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train:   3%|▎         | 89/3515 [01:53<1:12:49,  1.28s/it]
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train:   3%|▎         | 90/3515 [01:55<1:13:27,  1.29s/it]
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train:   3%|▎         | 91/3515 [01:56<1:12:12,  1.27s/it]
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train:   3%|▎         | 92/3515 [01:57<1:12:19,  1.27s/it]
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train:   3%|▎         | 93/3515 [01:58<1:13:37,  1.29s/it]
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train:   3%|▎         | 94/3515 [01:59<58:30,  1.03s/it]  
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train:   3%|▎         | 95/3515 [02:00<58:02,  1.02s/it]
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train:   3%|▎         | 96/3515 [02:01<1:01:37,  1.08s/it]
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train:   3%|▎         | 97/3515 [02:02<1:03:02,  1.11s/it]
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train:   3%|▎         | 98/3515 [02:03<1:04:46,  1.14s/it]
overall:  90%|█████████ | 3614/4000 [1:22:26<07:29,  1.16s/it]

train:   3%|▎         | 99/3515 [02:05<1:06:15,  1.16s/it]
overall:  90%|█████████ | 3615/4000 [1:22:27<07:38,  1.19s/it]

train:   3%|▎         | 100/3515 [02:06<1:07:43,  1.19s/it]
overall:  90%|█████████ | 3616/4000 [1:22:28<07:51,  1.23s/it]

train:   3%|▎         | 101/3515 [02:07<1:09:50,  1.23s/it]
overall:  90%|█████████ | 3617/4000 [1:22:30<08:04,  1.26s/it]

train:   3%|▎         | 102/3515 [02:09<1:11:56,  1.26s/it]
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train:   3%|▎         | 103/3515 [02:10<1:13:20,  1.29s/it]
overall:  90%|█████████ | 3619/4000 [1:22:32<06:59,  1.10s/it]

train:   3%|▎         | 104/3515 [02:11<1:02:32,  1.10s/it]
overall:  90%|█████████ | 3620/4000 [1:22:32<06:01,  1.05it/s]

train:   3%|▎         | 105/3515 [02:11<54:04,  1.05it/s]  
overall:  91%|█████████ | 3621/4000 [1:22:32<04:44,  1.33it/s]

train:   3%|▎         | 106/3515 [02:12<42:43,  1.33it/s]
overall:  91%|█████████ | 3622/4000 [1:22:34<05:40,  1.11it/s]

train:   3%|▎         | 107/3515 [02:13<51:07,  1.11it/s]
overall:  91%|█████████ | 3623/4000 [1:22:35<06:32,  1.04s/it]

train:   3%|▎         | 108/3515 [02:14<59:11,  1.04s/it]
overall:  91%|█████████ | 3624/4000 [1:22:36<06:48,  1.09s/it]

train:   3%|▎         | 109/3515 [02:15<1:01:38,  1.09s/it]
overall:  91%|█████████ | 3625/4000 [1:22:37<05:40,  1.10it/s]

train:   3%|▎         | 110/3515 [02:16<51:29,  1.10it/s]  
overall:  91%|█████████ | 3626/4000 [1:22:38<06:30,  1.04s/it]

train:   3%|▎         | 111/3515 [02:17<59:11,  1.04s/it]
overall:  91%|█████████ | 3627/4000 [1:22:39<06:50,  1.10s/it]

train:   3%|▎         | 112/3515 [02:18<1:02:22,  1.10s/it]
overall:  91%|█████████ | 3628/4000 [1:22:41<07:19,  1.18s/it]

train:   3%|▎         | 113/3515 [02:20<1:06:58,  1.18s/it]
overall:  91%|█████████ | 3629/4000 [1:22:42<07:37,  1.23s/it]

train:   3%|▎         | 114/3515 [02:21<1:09:53,  1.23s/it]
overall:  91%|█████████ | 3630/4000 [1:22:42<05:54,  1.04it/s]

train:   3%|▎         | 115/3515 [02:21<54:15,  1.04it/s]  
overall:  91%|█████████ | 3631/4000 [1:22:44<06:31,  1.06s/it]

train:   3%|▎         | 116/3515 [02:23<1:00:05,  1.06s/it]
overall:  91%|█████████ | 3632/4000 [1:22:45<06:55,  1.13s/it]

train:   3%|▎         | 117/3515 [02:24<1:03:55,  1.13s/it]
overall:  91%|█████████ | 3633/4000 [1:22:46<06:38,  1.09s/it]

train:   3%|▎         | 118/3515 [02:25<1:01:32,  1.09s/it]
overall:  91%|█████████ | 3634/4000 [1:22:47<06:55,  1.14s/it]

train:   3%|▎         | 119/3515 [02:26<1:04:19,  1.14s/it]
overall:  91%|█████████ | 3635/4000 [1:22:48<06:42,  1.10s/it]

train:   3%|▎         | 120/3515 [02:27<1:02:22,  1.10s/it]
overall:  91%|█████████ | 3636/4000 [1:22:50<07:02,  1.16s/it]

train:   3%|▎         | 121/3515 [02:29<1:05:42,  1.16s/it]
overall:  91%|█████████ | 3637/4000 [1:22:51<06:58,  1.15s/it]

train:   3%|▎         | 122/3515 [02:30<1:05:15,  1.15s/it]
overall:  91%|█████████ | 3638/4000 [1:22:52<07:10,  1.19s/it]

train:   3%|▎         | 123/3515 [02:31<1:07:17,  1.19s/it]
overall:  91%|█████████ | 3639/4000 [1:22:53<07:43,  1.28s/it]

train:   4%|▎         | 124/3515 [02:33<1:12:36,  1.28s/it]
overall:  91%|█████████ | 3640/4000 [1:22:55<07:27,  1.24s/it]

train:   4%|▎         | 125/3515 [02:34<1:10:10,  1.24s/it]
overall:  91%|█████████ | 3641/4000 [1:22:55<06:01,  1.01s/it]

train:   4%|▎         | 126/3515 [02:34<56:50,  1.01s/it]  
overall:  91%|█████████ | 3642/4000 [1:22:56<06:34,  1.10s/it]

train:   4%|▎         | 127/3515 [02:35<1:02:09,  1.10s/it]
overall:  91%|█████████ | 3643/4000 [1:22:57<06:32,  1.10s/it]

train:   4%|▎         | 128/3515 [02:37<1:02:06,  1.10s/it]
overall:  91%|█████████ | 3644/4000 [1:22:59<06:52,  1.16s/it]

train:   4%|▎         | 129/3515 [02:38<1:05:27,  1.16s/it]
overall:  91%|█████████ | 3645/4000 [1:23:00<06:38,  1.12s/it]

train:   4%|▎         | 130/3515 [02:39<1:03:21,  1.12s/it]
overall:  91%|█████████ | 3646/4000 [1:23:01<07:02,  1.19s/it]

train:   4%|▎         | 131/3515 [02:40<1:07:16,  1.19s/it]
overall:  91%|█████████ | 3647/4000 [1:23:02<07:00,  1.19s/it]

train:   4%|▍         | 132/3515 [02:41<1:07:11,  1.19s/it]
overall:  91%|█████████ | 3648/4000 [1:23:04<07:17,  1.24s/it]

train:   4%|▍         | 133/3515 [02:43<1:09:59,  1.24s/it]
overall:  91%|█████████ | 3649/4000 [1:23:05<07:13,  1.23s/it]

train:   4%|▍         | 134/3515 [02:44<1:09:31,  1.23s/it]
overall:  91%|█████████▏| 3650/4000 [1:23:06<07:20,  1.26s/it]

train:   4%|▍         | 135/3515 [02:45<1:10:50,  1.26s/it]
overall:  91%|█████████▏| 3651/4000 [1:23:08<07:44,  1.33s/it]

train:   4%|▍         | 136/3515 [02:47<1:14:52,  1.33s/it]
overall:  91%|█████████▏| 3652/4000 [1:23:09<07:23,  1.27s/it]

train:   4%|▍         | 137/3515 [02:48<1:11:41,  1.27s/it]
overall:  91%|█████████▏| 3653/4000 [1:23:10<07:23,  1.28s/it]

train:   4%|▍         | 138/3515 [02:49<1:11:54,  1.28s/it]
overall:  91%|█████████▏| 3654/4000 [1:23:11<07:25,  1.29s/it]

train:   4%|▍         | 139/3515 [02:51<1:12:22,  1.29s/it]
overall:  91%|█████████▏| 3655/4000 [1:23:13<07:24,  1.29s/it]

train:   4%|▍         | 140/3515 [02:52<1:12:28,  1.29s/it]
overall:  91%|█████████▏| 3656/4000 [1:23:14<07:13,  1.26s/it]

train:   4%|▍         | 141/3515 [02:53<1:10:47,  1.26s/it]
overall:  91%|█████████▏| 3657/4000 [1:23:15<07:00,  1.23s/it]

train:   4%|▍         | 142/3515 [02:54<1:08:53,  1.23s/it]
overall:  91%|█████████▏| 3658/4000 [1:23:16<07:13,  1.27s/it]

train:   4%|▍         | 143/3515 [02:56<1:11:13,  1.27s/it]
overall:  91%|█████████▏| 3659/4000 [1:23:18<07:12,  1.27s/it]

train:   4%|▍         | 144/3515 [02:57<1:11:12,  1.27s/it]
overall:  92%|█████████▏| 3660/4000 [1:23:19<07:13,  1.28s/it]

train:   4%|▍         | 145/3515 [02:58<1:11:38,  1.28s/it]
overall:  92%|█████████▏| 3661/4000 [1:23:20<07:23,  1.31s/it]

train:   4%|▍         | 146/3515 [02:59<1:13:29,  1.31s/it]
overall:  92%|█████████▏| 3662/4000 [1:23:21<05:40,  1.01s/it]

train:   4%|▍         | 147/3515 [03:00<56:32,  1.01s/it]  
overall:  92%|█████████▏| 3663/4000 [1:23:21<04:52,  1.15it/s]

train:   4%|▍         | 148/3515 [03:00<48:41,  1.15it/s]
overall:  92%|█████████▏| 3664/4000 [1:23:23<05:33,  1.01it/s]

train:   4%|▍         | 149/3515 [03:02<55:38,  1.01it/s]
overall:  92%|█████████▏| 3665/4000 [1:23:24<05:58,  1.07s/it]

train:   4%|▍         | 150/3515 [03:03<1:00:05,  1.07s/it]
overall:  92%|█████████▏| 3666/4000 [1:23:25<06:25,  1.15s/it]

train:   4%|▍         | 151/3515 [03:04<1:04:44,  1.15s/it]
overall:  92%|█████████▏| 3667/4000 [1:23:26<06:45,  1.22s/it]

train:   4%|▍         | 152/3515 [03:06<1:08:15,  1.22s/it]
overall:  92%|█████████▏| 3668/4000 [1:23:28<06:46,  1.23s/it]

train:   4%|▍         | 153/3515 [03:07<1:08:40,  1.23s/it]
overall:  92%|█████████▏| 3669/4000 [1:23:29<06:59,  1.27s/it]

train:   4%|▍         | 154/3515 [03:08<1:10:55,  1.27s/it]
overall:  92%|█████████▏| 3670/4000 [1:23:30<07:03,  1.28s/it]

train:   4%|▍         | 155/3515 [03:10<1:11:50,  1.28s/it]
overall:  92%|█████████▏| 3671/4000 [1:23:32<07:06,  1.30s/it]

train:   4%|▍         | 156/3515 [03:11<1:12:36,  1.30s/it]
overall:  92%|█████████▏| 3672/4000 [1:23:33<07:04,  1.29s/it]

train:   4%|▍         | 157/3515 [03:12<1:12:24,  1.29s/it]
overall:  92%|█████████▏| 3673/4000 [1:23:34<07:06,  1.31s/it]

train:   4%|▍         | 158/3515 [03:13<1:13:03,  1.31s/it]
overall:  92%|█████████▏| 3674/4000 [1:23:36<07:13,  1.33s/it]

train:   5%|▍         | 159/3515 [03:15<1:14:17,  1.33s/it]
overall:  92%|█████████▏| 3675/4000 [1:23:37<07:09,  1.32s/it]

train:   5%|▍         | 160/3515 [03:16<1:13:57,  1.32s/it]
overall:  92%|█████████▏| 3676/4000 [1:23:38<07:12,  1.34s/it]

train:   5%|▍         | 161/3515 [03:18<1:14:38,  1.34s/it]
overall:  92%|█████████▏| 3677/4000 [1:23:39<06:32,  1.21s/it]

train:   5%|▍         | 162/3515 [03:18<1:07:52,  1.21s/it]
overall:  92%|█████████▏| 3678/4000 [1:23:41<06:28,  1.21s/it]

train:   5%|▍         | 163/3515 [03:20<1:07:19,  1.21s/it]
overall:  92%|█████████▏| 3679/4000 [1:23:41<05:37,  1.05s/it]

train:   5%|▍         | 164/3515 [03:20<58:45,  1.05s/it]  
overall:  92%|█████████▏| 3680/4000 [1:23:42<05:53,  1.11s/it]

train:   5%|▍         | 165/3515 [03:22<1:01:43,  1.11s/it]
overall:  92%|█████████▏| 3681/4000 [1:23:44<06:08,  1.16s/it]

train:   5%|▍         | 166/3515 [03:23<1:04:29,  1.16s/it]
overall:  92%|█████████▏| 3682/4000 [1:23:45<06:12,  1.17s/it]

train:   5%|▍         | 167/3515 [03:24<1:05:20,  1.17s/it]
overall:  92%|█████████▏| 3683/4000 [1:23:46<06:22,  1.21s/it]

train:   5%|▍         | 168/3515 [03:25<1:07:22,  1.21s/it]
overall:  92%|█████████▏| 3684/4000 [1:23:47<06:23,  1.22s/it]

train:   5%|▍         | 169/3515 [03:27<1:07:45,  1.22s/it]
overall:  92%|█████████▏| 3685/4000 [1:23:49<06:35,  1.26s/it]

train:   5%|▍         | 170/3515 [03:28<1:09:58,  1.26s/it]
overall:  92%|█████████▏| 3686/4000 [1:23:50<06:46,  1.29s/it]

train:   5%|▍         | 171/3515 [03:29<1:12:07,  1.29s/it]
overall:  92%|█████████▏| 3687/4000 [1:23:52<06:53,  1.32s/it]

train:   5%|▍         | 172/3515 [03:31<1:13:33,  1.32s/it]
overall:  92%|█████████▏| 3688/4000 [1:23:53<06:50,  1.32s/it]

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overall:  92%|█████████▏| 3689/4000 [1:23:54<06:41,  1.29s/it]

train:   5%|▍         | 174/3515 [03:33<1:11:51,  1.29s/it]
overall:  92%|█████████▏| 3690/4000 [1:23:55<06:40,  1.29s/it]

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overall:  92%|█████████▏| 3691/4000 [1:23:57<06:37,  1.29s/it]

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overall:  92%|█████████▏| 3692/4000 [1:23:58<06:02,  1.18s/it]

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overall:  92%|█████████▏| 3693/4000 [1:23:58<04:56,  1.03it/s]

train:   5%|▌         | 178/3515 [03:37<53:46,  1.03it/s]  
overall:  92%|█████████▏| 3694/4000 [1:23:59<05:27,  1.07s/it]

train:   5%|▌         | 179/3515 [03:39<59:34,  1.07s/it]
overall:  92%|█████████▏| 3695/4000 [1:24:01<05:52,  1.16s/it]

train:   5%|▌         | 180/3515 [03:40<1:04:18,  1.16s/it]
overall:  92%|█████████▏| 3696/4000 [1:24:02<06:08,  1.21s/it]

train:   5%|▌         | 181/3515 [03:41<1:07:17,  1.21s/it]
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overall:  98%|█████████▊| 3915/4000 [1:28:26<01:29,  1.05s/it]

train:  11%|█▏        | 400/3515 [08:06<54:45,  1.05s/it]
overall:  98%|█████████▊| 3916/4000 [1:28:28<01:32,  1.10s/it]

train:  11%|█▏        | 401/3515 [08:07<57:03,  1.10s/it]
overall:  98%|█████████▊| 3917/4000 [1:28:29<01:35,  1.15s/it]

train:  11%|█▏        | 402/3515 [08:08<59:51,  1.15s/it]
overall:  98%|█████████▊| 3918/4000 [1:28:30<01:37,  1.19s/it]

train:  11%|█▏        | 403/3515 [08:09<1:01:58,  1.19s/it]
overall:  98%|█████████▊| 3919/4000 [1:28:32<01:40,  1.24s/it]

train:  11%|█▏        | 404/3515 [08:11<1:04:30,  1.24s/it]
overall:  98%|█████████▊| 3920/4000 [1:28:33<01:39,  1.24s/it]

train:  12%|█▏        | 405/3515 [08:12<1:04:21,  1.24s/it]
overall:  98%|█████████▊| 3921/4000 [1:28:34<01:39,  1.26s/it]

train:  12%|█▏        | 406/3515 [08:13<1:05:08,  1.26s/it]
overall:  98%|█████████▊| 3922/4000 [1:28:35<01:30,  1.16s/it]

train:  12%|█▏        | 407/3515 [08:14<59:52,  1.16s/it]  
overall:  98%|█████████▊| 3923/4000 [1:28:36<01:32,  1.20s/it]

train:  12%|█▏        | 408/3515 [08:15<1:02:23,  1.20s/it]
overall:  98%|█████████▊| 3924/4000 [1:28:37<01:28,  1.17s/it]

train:  12%|█▏        | 409/3515 [08:17<1:00:30,  1.17s/it]
overall:  98%|█████████▊| 3925/4000 [1:28:39<01:29,  1.20s/it]

train:  12%|█▏        | 410/3515 [08:18<1:02:05,  1.20s/it]
overall:  98%|█████████▊| 3926/4000 [1:28:40<01:26,  1.17s/it]

train:  12%|█▏        | 411/3515 [08:19<1:00:22,  1.17s/it]
overall:  98%|█████████▊| 3927/4000 [1:28:40<01:12,  1.00it/s]

train:  12%|█▏        | 412/3515 [08:19<51:36,  1.00it/s]  
overall:  98%|█████████▊| 3928/4000 [1:28:42<01:19,  1.11s/it]

train:  12%|█▏        | 413/3515 [08:21<57:13,  1.11s/it]
overall:  98%|█████████▊| 3929/4000 [1:28:43<01:23,  1.18s/it]

train:  12%|█▏        | 414/3515 [08:22<1:01:06,  1.18s/it]
overall:  98%|█████████▊| 3930/4000 [1:28:44<01:24,  1.21s/it]

train:  12%|█▏        | 415/3515 [08:23<1:02:26,  1.21s/it]
overall:  98%|█████████▊| 3931/4000 [1:28:46<01:23,  1.21s/it]

train:  12%|█▏        | 416/3515 [08:25<1:02:30,  1.21s/it]
overall:  98%|█████████▊| 3932/4000 [1:28:47<01:20,  1.19s/it]

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overall:  98%|█████████▊| 3935/4000 [1:28:50<01:20,  1.23s/it]

train:  12%|█▏        | 420/3515 [08:30<1:03:34,  1.23s/it]
overall:  98%|█████████▊| 3936/4000 [1:28:52<01:19,  1.24s/it]

train:  12%|█▏        | 421/3515 [08:31<1:04:07,  1.24s/it]
overall:  98%|█████████▊| 3937/4000 [1:28:53<01:17,  1.22s/it]

train:  12%|█▏        | 422/3515 [08:32<1:03:06,  1.22s/it]
overall:  98%|█████████▊| 3938/4000 [1:28:54<01:15,  1.22s/it]

train:  12%|█▏        | 423/3515 [08:33<1:02:45,  1.22s/it]
overall:  98%|█████████▊| 3939/4000 [1:28:55<01:15,  1.23s/it]

train:  12%|█▏        | 424/3515 [08:35<1:03:33,  1.23s/it]
overall:  98%|█████████▊| 3940/4000 [1:28:57<01:15,  1.27s/it]

train:  12%|█▏        | 425/3515 [08:36<1:05:13,  1.27s/it]
overall:  99%|█████████▊| 3941/4000 [1:28:58<01:12,  1.23s/it]

train:  12%|█▏        | 426/3515 [08:37<1:03:32,  1.23s/it]
overall:  99%|█████████▊| 3942/4000 [1:28:59<01:13,  1.27s/it]

train:  12%|█▏        | 427/3515 [08:38<1:05:21,  1.27s/it]
overall:  99%|█████████▊| 3943/4000 [1:29:01<01:13,  1.30s/it]

train:  12%|█▏        | 428/3515 [08:40<1:06:47,  1.30s/it]
overall:  99%|█████████▊| 3944/4000 [1:29:01<01:01,  1.11s/it]

train:  12%|█▏        | 429/3515 [08:40<56:53,  1.11s/it]  
overall:  99%|█████████▊| 3945/4000 [1:29:02<00:52,  1.04it/s]

train:  12%|█▏        | 430/3515 [08:41<49:26,  1.04it/s]
overall:  99%|█████████▊| 3946/4000 [1:29:03<00:57,  1.06s/it]

train:  12%|█▏        | 431/3515 [08:42<54:31,  1.06s/it]
overall:  99%|█████████▊| 3947/4000 [1:29:04<00:59,  1.12s/it]

train:  12%|█▏        | 432/3515 [08:44<57:18,  1.12s/it]
overall:  99%|█████████▊| 3948/4000 [1:29:06<00:59,  1.14s/it]

train:  12%|█▏        | 433/3515 [08:45<58:24,  1.14s/it]
overall:  99%|█████████▊| 3949/4000 [1:29:07<00:59,  1.17s/it]

train:  12%|█▏        | 434/3515 [08:46<1:00:06,  1.17s/it]
overall:  99%|█████████▉| 3950/4000 [1:29:08<01:00,  1.20s/it]

train:  12%|█▏        | 435/3515 [08:47<1:01:43,  1.20s/it]
overall:  99%|█████████▉| 3951/4000 [1:29:09<01:00,  1.24s/it]

train:  12%|█▏        | 436/3515 [08:49<1:03:33,  1.24s/it]
overall:  99%|█████████▉| 3952/4000 [1:29:10<00:48,  1.01s/it]

train:  12%|█▏        | 437/3515 [08:49<51:54,  1.01s/it]  
overall:  99%|█████████▉| 3953/4000 [1:29:11<00:50,  1.08s/it]

train:  12%|█▏        | 438/3515 [08:50<55:21,  1.08s/it]
overall:  99%|█████████▉| 3954/4000 [1:29:13<00:53,  1.16s/it]

train:  12%|█▏        | 439/3515 [08:52<59:24,  1.16s/it]
overall:  99%|█████████▉| 3955/4000 [1:29:14<00:54,  1.20s/it]

train:  13%|█▎        | 440/3515 [08:53<1:01:41,  1.20s/it]
overall:  99%|█████████▉| 3956/4000 [1:29:15<00:52,  1.19s/it]

train:  13%|█▎        | 441/3515 [08:54<1:01:11,  1.19s/it]
overall:  99%|█████████▉| 3957/4000 [1:29:16<00:53,  1.24s/it]

train:  13%|█▎        | 442/3515 [08:55<1:03:19,  1.24s/it]
overall:  99%|█████████▉| 3958/4000 [1:29:18<00:52,  1.25s/it]

train:  13%|█▎        | 443/3515 [08:57<1:03:46,  1.25s/it]
overall:  99%|█████████▉| 3959/4000 [1:29:19<00:50,  1.24s/it]

train:  13%|█▎        | 444/3515 [08:58<1:03:29,  1.24s/it]
overall:  99%|█████████▉| 3960/4000 [1:29:20<00:50,  1.25s/it]

train:  13%|█▎        | 445/3515 [08:59<1:03:58,  1.25s/it]
overall:  99%|█████████▉| 3961/4000 [1:29:21<00:49,  1.27s/it]

train:  13%|█▎        | 446/3515 [09:01<1:04:50,  1.27s/it]
overall:  99%|█████████▉| 3962/4000 [1:29:23<00:48,  1.28s/it]

train:  13%|█▎        | 447/3515 [09:02<1:05:25,  1.28s/it]
overall:  99%|█████████▉| 3963/4000 [1:29:23<00:38,  1.05s/it]

train:  13%|█▎        | 448/3515 [09:02<53:29,  1.05s/it]  
overall:  99%|█████████▉| 3964/4000 [1:29:24<00:39,  1.09s/it]

train:  13%|█▎        | 449/3515 [09:04<55:27,  1.09s/it]
overall:  99%|█████████▉| 3965/4000 [1:29:26<00:40,  1.15s/it]

train:  13%|█▎        | 450/3515 [09:05<58:52,  1.15s/it]
overall:  99%|█████████▉| 3966/4000 [1:29:27<00:40,  1.18s/it]

train:  13%|█▎        | 451/3515 [09:06<1:00:17,  1.18s/it]
overall:  99%|█████████▉| 3967/4000 [1:29:28<00:41,  1.26s/it]

train:  13%|█▎        | 452/3515 [09:08<1:04:24,  1.26s/it]
overall:  99%|█████████▉| 3968/4000 [1:29:30<00:39,  1.25s/it]

train:  13%|█▎        | 453/3515 [09:09<1:03:35,  1.25s/it]
overall:  99%|█████████▉| 3969/4000 [1:29:31<00:39,  1.27s/it]

train:  13%|█▎        | 454/3515 [09:10<1:04:36,  1.27s/it]
overall:  99%|█████████▉| 3970/4000 [1:29:32<00:38,  1.27s/it]

train:  13%|█▎        | 455/3515 [09:11<1:04:53,  1.27s/it]
overall:  99%|█████████▉| 3971/4000 [1:29:33<00:36,  1.27s/it]

train:  13%|█▎        | 456/3515 [09:13<1:04:35,  1.27s/it]
overall:  99%|█████████▉| 3972/4000 [1:29:35<00:35,  1.28s/it]

train:  13%|█▎        | 457/3515 [09:14<1:05:26,  1.28s/it]
overall:  99%|█████████▉| 3973/4000 [1:29:36<00:32,  1.22s/it]

train:  13%|█▎        | 458/3515 [09:15<1:02:04,  1.22s/it]
overall:  99%|█████████▉| 3974/4000 [1:29:37<00:30,  1.16s/it]

train:  13%|█▎        | 459/3515 [09:16<58:59,  1.16s/it]  
overall:  99%|█████████▉| 3975/4000 [1:29:38<00:30,  1.21s/it]

train:  13%|█▎        | 460/3515 [09:17<1:01:30,  1.21s/it]
overall:  99%|█████████▉| 3976/4000 [1:29:39<00:29,  1.21s/it]

train:  13%|█▎        | 461/3515 [09:19<1:01:30,  1.21s/it]
overall:  99%|█████████▉| 3977/4000 [1:29:41<00:27,  1.21s/it]

train:  13%|█▎        | 462/3515 [09:20<1:01:40,  1.21s/it]
overall:  99%|█████████▉| 3978/4000 [1:29:42<00:26,  1.19s/it]

train:  13%|█▎        | 463/3515 [09:21<1:00:17,  1.19s/it]
overall:  99%|█████████▉| 3979/4000 [1:29:43<00:25,  1.20s/it]

train:  13%|█▎        | 464/3515 [09:22<1:01:09,  1.20s/it]
overall: 100%|█████████▉| 3980/4000 [1:29:44<00:24,  1.24s/it]

train:  13%|█▎        | 465/3515 [09:23<1:02:52,  1.24s/it]
overall: 100%|█████████▉| 3981/4000 [1:29:46<00:23,  1.26s/it]

train:  13%|█▎        | 466/3515 [09:25<1:04:10,  1.26s/it]
overall: 100%|█████████▉| 3982/4000 [1:29:47<00:22,  1.26s/it]

train:  13%|█▎        | 467/3515 [09:26<1:04:09,  1.26s/it]
overall: 100%|█████████▉| 3983/4000 [1:29:48<00:20,  1.20s/it]

train:  13%|█▎        | 468/3515 [09:27<1:00:54,  1.20s/it]
overall: 100%|█████████▉| 3984/4000 [1:29:49<00:16,  1.04s/it]

train:  13%|█▎        | 469/3515 [09:28<52:37,  1.04s/it]  
overall: 100%|█████████▉| 3985/4000 [1:29:50<00:16,  1.12s/it]

train:  13%|█▎        | 470/3515 [09:29<56:46,  1.12s/it]
overall: 100%|█████████▉| 3986/4000 [1:29:51<00:16,  1.19s/it]

train:  13%|█▎        | 471/3515 [09:30<1:00:07,  1.19s/it]
overall: 100%|█████████▉| 3987/4000 [1:29:53<00:16,  1.25s/it]

train:  13%|█▎        | 472/3515 [09:32<1:03:23,  1.25s/it]
overall: 100%|█████████▉| 3988/4000 [1:29:54<00:14,  1.19s/it]

train:  13%|█▎        | 473/3515 [09:33<1:00:32,  1.19s/it]
overall: 100%|█████████▉| 3989/4000 [1:29:54<00:11,  1.04s/it]

train:  13%|█▎        | 474/3515 [09:34<52:33,  1.04s/it]  
overall: 100%|█████████▉| 3990/4000 [1:29:56<00:11,  1.11s/it]

train:  14%|█▎        | 475/3515 [09:35<56:07,  1.11s/it]
overall: 100%|█████████▉| 3991/4000 [1:29:57<00:10,  1.18s/it]

train:  14%|█▎        | 476/3515 [09:36<59:44,  1.18s/it]
overall: 100%|█████████▉| 3992/4000 [1:29:58<00:09,  1.23s/it]

train:  14%|█▎        | 477/3515 [09:37<1:02:16,  1.23s/it]
overall: 100%|█████████▉| 3993/4000 [1:30:00<00:08,  1.20s/it]

train:  14%|█▎        | 478/3515 [09:39<1:00:35,  1.20s/it]
overall: 100%|█████████▉| 3994/4000 [1:30:01<00:07,  1.22s/it]

train:  14%|█▎        | 479/3515 [09:40<1:01:37,  1.22s/it]
overall: 100%|█████████▉| 3995/4000 [1:30:02<00:06,  1.24s/it]

train:  14%|█▎        | 480/3515 [09:41<1:02:54,  1.24s/it]
overall: 100%|█████████▉| 3996/4000 [1:30:03<00:05,  1.26s/it]

train:  14%|█▎        | 481/3515 [09:42<1:03:39,  1.26s/it]
overall: 100%|█████████▉| 3997/4000 [1:30:05<00:03,  1.27s/it]

train:  14%|█▎        | 482/3515 [09:44<1:04:21,  1.27s/it]
overall: 100%|█████████▉| 3998/4000 [1:30:05<00:02,  1.09s/it]

train:  14%|█▎        | 483/3515 [09:44<55:10,  1.09s/it]  
overall: 100%|█████████▉| 3999/4000 [1:30:07<00:01,  1.16s/it]

train:  14%|█▍        | 484/3515 [09:46<58:49,  1.16s/it]train loss: 1.743994116783142
train per: 0.5240361503701567
train loss: 1.7474828958511353
train per: 0.5229175637529305
train loss: 1.698845624923706
train per: 0.5113836738927497
train loss: 1.7420870065689087
train per: 0.5220964860035735
train loss: 1.7134263515472412
train per: 0.5173234882908074
train loss: 1.6874593496322632
train per: 0.505207362224649
train loss: 1.7141271829605103
train per: 0.5237337154076787
train loss: 1.718196153640747
train per: 0.5109490801813255
train loss: 1.7716548442840576
train per: 0.5303703703703704
train loss: 1.7714074850082397
train per: 0.5264061010486177
train loss: 1.7299264669418335
train per: 0.5227995758218452
train loss: 1.7233530282974243
train per: 0.5169983835118206
train loss: 1.7217992544174194
train per: 0.5148723415055073
train loss: 1.7060279846191406
train per: 0.5157914992904048
train loss: 1.7618166208267212
train per: 0.5232707193215994
train loss: 1.6931453943252563
train per: 0.5110692304022139
train loss: 1.704721212387085
train per: 0.5139540507859734
train loss: 1.7080066204071045
train per: 0.5140769194734623
train loss: 1.731248140335083
train per: 0.5225532146848001
train loss: 1.7134284973144531
train per: 0.5140553054007988
train loss: 1.708083152770996
train per: 0.5165736872388863
train loss: 1.7533161640167236
train per: 0.5242701102490812
train loss: 1.7123022079467773
train per: 0.5151436438256533
train loss: 1.6924545764923096
train per: 0.5123206604172365
train loss: 1.7255140542984009
train per: 0.5182335141903172
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 185/2703 [00:00<00:01, 1712.61it/s]


word -> phonemes:  13%|█▎        | 357/2703 [00:00<00:01, 1665.38it/s]


word -> phonemes:  19%|█▉        | 524/2703 [00:00<00:01, 1432.17it/s]


word -> phonemes:  25%|██▍       | 671/2703 [00:00<00:01, 1411.50it/s]


word -> phonemes:  30%|███       | 814/2703 [00:00<00:01, 1316.09it/s]


word -> phonemes:  35%|███▌      | 950/2703 [00:00<00:01, 1328.95it/s]


word -> phonemes:  40%|████      | 1089/2703 [00:00<00:01, 1346.85it/s]


word -> phonemes:  47%|████▋     | 1283/2703 [00:00<00:00, 1524.26it/s]


word -> phonemes:  53%|█████▎    | 1437/2703 [00:00<00:00, 1516.27it/s]


word -> phonemes:  59%|█████▉    | 1590/2703 [00:01<00:00, 1493.46it/s]


word -> phonemes:  64%|██████▍   | 1741/2703 [00:01<00:00, 1388.23it/s]


word -> phonemes:  71%|███████▏  | 1927/2703 [00:01<00:00, 1519.43it/s]


word -> phonemes:  77%|███████▋  | 2082/2703 [00:01<00:00, 1523.46it/s]


word -> phonemes:  83%|████████▎ | 2236/2703 [00:01<00:00, 1441.18it/s]


word -> phonemes:  88%|████████▊ | 2382/2703 [00:01<00:00, 1236.27it/s]


word -> phonemes:  93%|█████████▎| 2514/2703 [00:01<00:00, 1255.87it/s]


word -> phonemes:  99%|█████████▉| 2677/2703 [00:01<00:00, 1354.22it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1412.42it/s]



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


dev:   0%|          | 1/2703 [00:01<1:11:46,  1.59s/it]


dev:   0%|          | 2/2703 [00:01<35:48,  1.26it/s]  


dev:   0%|          | 3/2703 [00:02<24:35,  1.83it/s]


dev:   0%|          | 4/2703 [00:02<18:49,  2.39it/s]


dev:   0%|          | 5/2703 [00:02<16:03,  2.80it/s]


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overall: 100%|█████████▉| 3999/4000 [1:33:47<00:01,  1.16s/it]

train:  14%|█▍        | 484/3515 [13:26<58:49,  1.16s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:33:47<00:01,  1.16s/it]

train:  14%|█▍        | 484/3515 [13:26<58:49,  1.16s/it]
overall: 100%|██████████| 4000/4000 [1:33:47<00:00, 66.80s/it]

train:  14%|█▍        | 485/3515 [13:26<56:13:16, 66.80s/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 [13:26<1:23:59,  1.66s/it] 

overall: 100%|██████████| 4000/4000 [1:33:47<00:00,  1.41s/it]
dev loss: 2.0568552017211914
dev per: 0.5890270551508845
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt