/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")
2023-10-10 05:35:23 | 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-v1-95M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_v', 'encoder.pos_conv_embed.conv.weight_g']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-95M and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
mert_95M_encode_norm2 {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_95M_encode_norm2

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


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

word -> phonemes:  10%|▉         | 349/3515 [00:00<00:00, 3484.16it/s]

word -> phonemes:  22%|██▏       | 769/3515 [00:00<00:00, 3902.26it/s]

word -> phonemes:  34%|███▍      | 1199/3515 [00:00<00:00, 4081.46it/s]

word -> phonemes:  47%|████▋     | 1636/3515 [00:00<00:00, 4193.42it/s]

word -> phonemes:  58%|█████▊    | 2056/3515 [00:00<00:00, 3762.55it/s]

word -> phonemes:  70%|███████   | 2470/3515 [00:00<00:00, 3880.96it/s]

word -> phonemes:  83%|████████▎ | 2908/3515 [00:00<00:00, 4033.58it/s]

word -> phonemes:  95%|█████████▍| 3328/3515 [00:00<00:00, 4082.86it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4003.18it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<3:22:43,  3.04s/it]

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overall:   0%|          | 2/4000 [00:03<1:49:10,  1.64s/it]

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overall:   0%|          | 4/4000 [00:04<57:45,  1.15it/s]  

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overall:   0%|          | 8/4000 [00:06<34:44,  1.92it/s]

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overall:   0%|          | 9/4000 [00:06<33:42,  1.97it/s]

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overall:   0%|          | 10/4000 [00:07<34:07,  1.95it/s]

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overall:   1%|          | 30/4000 [00:15<29:45,  2.22it/s]

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overall:   1%|          | 33/4000 [00:17<33:46,  1.96it/s]

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overall:   1%|          | 36/4000 [00:18<29:15,  2.26it/s]

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overall:   1%|          | 37/4000 [00:18<30:26,  2.17it/s]

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overall:   1%|          | 38/4000 [00:19<31:08,  2.12it/s]

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overall:   1%|          | 39/4000 [00:19<31:09,  2.12it/s]

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overall:   1%|          | 40/4000 [00:20<30:46,  2.14it/s]

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overall:   1%|          | 41/4000 [00:20<30:59,  2.13it/s]

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overall:   1%|          | 42/4000 [00:20<23:42,  2.78it/s]

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overall:   1%|          | 43/4000 [00:21<24:44,  2.67it/s]

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overall:   1%|          | 44/4000 [00:21<26:43,  2.47it/s]

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overall:   1%|▏         | 50/4000 [00:24<34:45,  1.89it/s]

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overall:   1%|▏         | 51/4000 [00:25<32:37,  2.02it/s]

train:   1%|▏         | 51/3515 [00:23<28:36,  2.02it/s]
overall:   1%|▏         | 52/4000 [00:25<31:52,  2.06it/s]

train:   1%|▏         | 52/3515 [00:23<27:57,  2.06it/s]
overall:   1%|▏         | 53/4000 [00:26<32:04,  2.05it/s]

train:   2%|▏         | 53/3515 [00:24<28:08,  2.05it/s]
overall:   1%|▏         | 54/4000 [00:26<31:40,  2.08it/s]

train:   2%|▏         | 54/3515 [00:24<27:47,  2.08it/s]
overall:   1%|▏         | 55/4000 [00:27<29:04,  2.26it/s]

train:   2%|▏         | 55/3515 [00:25<25:29,  2.26it/s]
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train:   2%|▏         | 56/3515 [00:25<24:21,  2.37it/s]
overall:   1%|▏         | 57/4000 [00:27<29:03,  2.26it/s]

train:   2%|▏         | 57/3515 [00:25<25:29,  2.26it/s]
overall:   1%|▏         | 58/4000 [00:28<31:04,  2.11it/s]

train:   2%|▏         | 58/3515 [00:26<27:15,  2.11it/s]
overall:   1%|▏         | 59/4000 [00:28<31:29,  2.09it/s]

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overall:   2%|▏         | 60/4000 [00:29<31:37,  2.08it/s]

train:   2%|▏         | 60/3515 [00:27<27:44,  2.08it/s]
overall:   2%|▏         | 61/4000 [00:29<31:25,  2.09it/s]

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overall:   2%|▏         | 62/4000 [00:30<31:17,  2.10it/s]

train:   2%|▏         | 62/3515 [00:28<27:26,  2.10it/s]
overall:   2%|▏         | 63/4000 [00:30<31:10,  2.10it/s]

train:   2%|▏         | 63/3515 [00:28<27:20,  2.10it/s]
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overall:   2%|▏         | 65/4000 [00:31<30:58,  2.12it/s]

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overall:   2%|▏         | 66/4000 [00:32<29:50,  2.20it/s]

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overall:   2%|▏         | 67/4000 [00:32<29:30,  2.22it/s]

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overall:   2%|▏         | 68/4000 [00:33<29:43,  2.20it/s]

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overall:   2%|▏         | 71/4000 [00:34<23:39,  2.77it/s]

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overall:   2%|▏         | 75/4000 [00:36<31:30,  2.08it/s]

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overall:   2%|▏         | 77/4000 [00:37<31:40,  2.06it/s]

train:   2%|▏         | 77/3515 [00:35<27:45,  2.06it/s]
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train:   2%|▏         | 78/3515 [00:35<22:19,  2.57it/s]
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overall:   3%|▎         | 112/4000 [00:52<24:55,  2.60it/s]

train:   3%|▎         | 112/3515 [00:50<21:49,  2.60it/s]
overall:   3%|▎         | 113/4000 [00:53<27:11,  2.38it/s]

train:   3%|▎         | 113/3515 [00:51<23:48,  2.38it/s]
overall:   3%|▎         | 114/4000 [00:53<28:04,  2.31it/s]

train:   3%|▎         | 114/3515 [00:51<24:34,  2.31it/s]
overall:   3%|▎         | 115/4000 [00:54<28:18,  2.29it/s]

train:   3%|▎         | 115/3515 [00:52<24:46,  2.29it/s]
overall:   3%|▎         | 116/4000 [00:54<29:08,  2.22it/s]

train:   3%|▎         | 116/3515 [00:52<25:30,  2.22it/s]
overall:   3%|▎         | 117/4000 [00:55<30:08,  2.15it/s]

train:   3%|▎         | 117/3515 [00:53<26:22,  2.15it/s]
overall:   3%|▎         | 118/4000 [00:55<29:01,  2.23it/s]

train:   3%|▎         | 118/3515 [00:53<25:24,  2.23it/s]
overall:   3%|▎         | 119/4000 [00:56<29:40,  2.18it/s]

train:   3%|▎         | 119/3515 [00:54<25:57,  2.18it/s]
overall:   3%|▎         | 120/4000 [00:56<28:51,  2.24it/s]

train:   3%|▎         | 120/3515 [00:54<25:14,  2.24it/s]
overall:   3%|▎         | 121/4000 [00:56<29:26,  2.20it/s]

train:   3%|▎         | 121/3515 [00:54<25:45,  2.20it/s]
overall:   3%|▎         | 122/4000 [00:57<31:32,  2.05it/s]

train:   3%|▎         | 122/3515 [00:55<27:35,  2.05it/s]
overall:   3%|▎         | 123/4000 [00:58<31:29,  2.05it/s]

train:   3%|▎         | 123/3515 [00:56<27:32,  2.05it/s]
overall:   3%|▎         | 124/4000 [00:58<31:47,  2.03it/s]

train:   4%|▎         | 124/3515 [00:56<27:48,  2.03it/s]
overall:   3%|▎         | 125/4000 [00:59<31:51,  2.03it/s]

train:   4%|▎         | 125/3515 [00:57<27:51,  2.03it/s]
overall:   3%|▎         | 126/4000 [00:59<31:45,  2.03it/s]

train:   4%|▎         | 126/3515 [00:57<27:47,  2.03it/s]
overall:   3%|▎         | 127/4000 [00:59<29:01,  2.22it/s]

train:   4%|▎         | 127/3515 [00:57<25:23,  2.22it/s]
overall:   3%|▎         | 128/4000 [01:00<28:50,  2.24it/s]

train:   4%|▎         | 128/3515 [00:58<25:13,  2.24it/s]
overall:   3%|▎         | 129/4000 [01:00<29:24,  2.19it/s]

train:   4%|▎         | 129/3515 [00:58<25:43,  2.19it/s]
overall:   3%|▎         | 130/4000 [01:01<31:06,  2.07it/s]

train:   4%|▎         | 130/3515 [00:59<27:12,  2.07it/s]
overall:   3%|▎         | 131/4000 [01:01<31:49,  2.03it/s]

train:   4%|▎         | 131/3515 [00:59<27:50,  2.03it/s]
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train:   4%|▍         | 132/3515 [01:00<27:50,  2.03it/s]
overall:   3%|▎         | 133/4000 [01:02<31:34,  2.04it/s]

train:   4%|▍         | 133/3515 [01:00<27:36,  2.04it/s]
overall:   3%|▎         | 134/4000 [01:03<31:21,  2.05it/s]

train:   4%|▍         | 134/3515 [01:01<27:25,  2.05it/s]
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train:   4%|▍         | 135/3515 [01:01<27:40,  2.04it/s]
overall:   3%|▎         | 136/4000 [01:04<31:31,  2.04it/s]

train:   4%|▍         | 136/3515 [01:02<27:34,  2.04it/s]
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train:   4%|▍         | 137/3515 [01:02<26:41,  2.11it/s]
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train:   4%|▍         | 138/3515 [01:03<27:13,  2.07it/s]
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train:   4%|▍         | 139/3515 [01:03<27:37,  2.04it/s]
overall:   4%|▎         | 140/4000 [01:06<31:57,  2.01it/s]

train:   4%|▍         | 140/3515 [01:04<27:56,  2.01it/s]
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train:   4%|▍         | 141/3515 [01:04<22:26,  2.51it/s]
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train:   4%|▍         | 142/3515 [01:04<22:39,  2.48it/s]
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train:   4%|▍         | 143/3515 [01:05<24:26,  2.30it/s]
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train:   4%|▍         | 144/3515 [01:05<21:27,  2.62it/s]
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train:   4%|▍         | 145/3515 [01:06<23:24,  2.40it/s]
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train:   4%|▍         | 146/3515 [01:06<27:07,  2.07it/s]
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train:   4%|▍         | 147/3515 [01:07<27:33,  2.04it/s]
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train:   4%|▍         | 148/3515 [01:07<27:32,  2.04it/s]
overall:   4%|▎         | 149/4000 [01:10<31:32,  2.03it/s]

train:   4%|▍         | 149/3515 [01:08<27:34,  2.03it/s]
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train:   4%|▍         | 150/3515 [01:08<27:04,  2.07it/s]
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train:   4%|▍         | 151/3515 [01:09<26:54,  2.08it/s]
overall:   4%|▍         | 152/4000 [01:11<31:00,  2.07it/s]

train:   4%|▍         | 152/3515 [01:09<27:05,  2.07it/s]
overall:   4%|▍         | 153/4000 [01:12<30:54,  2.07it/s]

train:   4%|▍         | 153/3515 [01:10<27:01,  2.07it/s]
overall:   4%|▍         | 154/4000 [01:12<31:04,  2.06it/s]

train:   4%|▍         | 154/3515 [01:10<27:09,  2.06it/s]
overall:   4%|▍         | 155/4000 [01:13<31:50,  2.01it/s]

train:   4%|▍         | 155/3515 [01:11<27:49,  2.01it/s]
overall:   4%|▍         | 156/4000 [01:13<31:36,  2.03it/s]

train:   4%|▍         | 156/3515 [01:11<27:37,  2.03it/s]
overall:   4%|▍         | 157/4000 [01:14<31:07,  2.06it/s]

train:   4%|▍         | 157/3515 [01:12<27:11,  2.06it/s]
overall:   4%|▍         | 158/4000 [01:14<30:57,  2.07it/s]

train:   4%|▍         | 158/3515 [01:12<27:03,  2.07it/s]
overall:   4%|▍         | 159/4000 [01:15<31:12,  2.05it/s]

train:   5%|▍         | 159/3515 [01:13<27:15,  2.05it/s]
overall:   4%|▍         | 160/4000 [01:15<26:22,  2.43it/s]

train:   5%|▍         | 160/3515 [01:13<23:02,  2.43it/s]
overall:   4%|▍         | 161/4000 [01:15<27:17,  2.34it/s]

train:   5%|▍         | 161/3515 [01:13<23:50,  2.34it/s]
overall:   4%|▍         | 162/4000 [01:16<28:18,  2.26it/s]

train:   5%|▍         | 162/3515 [01:14<24:43,  2.26it/s]
overall:   4%|▍         | 163/4000 [01:16<28:47,  2.22it/s]

train:   5%|▍         | 163/3515 [01:14<25:08,  2.22it/s]
overall:   4%|▍         | 164/4000 [01:17<29:35,  2.16it/s]

train:   5%|▍         | 164/3515 [01:15<25:51,  2.16it/s]
overall:   4%|▍         | 165/4000 [01:17<29:49,  2.14it/s]

train:   5%|▍         | 165/3515 [01:15<26:02,  2.14it/s]
overall:   4%|▍         | 166/4000 [01:18<29:41,  2.15it/s]

train:   5%|▍         | 166/3515 [01:16<25:56,  2.15it/s]
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train:   5%|▍         | 167/3515 [01:16<22:21,  2.50it/s]
overall:   4%|▍         | 168/4000 [01:18<27:41,  2.31it/s]

train:   5%|▍         | 168/3515 [01:16<24:10,  2.31it/s]
overall:   4%|▍         | 169/4000 [01:19<28:10,  2.27it/s]

train:   5%|▍         | 169/3515 [01:17<24:36,  2.27it/s]
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train:   5%|▍         | 170/3515 [01:18<28:15,  1.97it/s]
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train:   5%|▍         | 171/3515 [01:18<27:59,  1.99it/s]
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train:   5%|▍         | 172/3515 [01:19<27:51,  2.00it/s]
overall:   4%|▍         | 173/4000 [01:21<27:11,  2.35it/s]

train:   5%|▍         | 173/3515 [01:19<23:44,  2.35it/s]
overall:   4%|▍         | 174/4000 [01:21<28:23,  2.25it/s]

train:   5%|▍         | 174/3515 [01:19<24:47,  2.25it/s]
overall:   4%|▍         | 175/4000 [01:22<29:27,  2.16it/s]

train:   5%|▍         | 175/3515 [01:20<25:43,  2.16it/s]
overall:   4%|▍         | 176/4000 [01:22<30:18,  2.10it/s]

train:   5%|▌         | 176/3515 [01:20<26:27,  2.10it/s]
overall:   4%|▍         | 177/4000 [01:23<30:55,  2.06it/s]

train:   5%|▌         | 177/3515 [01:21<27:00,  2.06it/s]
overall:   4%|▍         | 178/4000 [01:23<31:32,  2.02it/s]

train:   5%|▌         | 178/3515 [01:21<27:32,  2.02it/s]
overall:   4%|▍         | 179/4000 [01:24<31:30,  2.02it/s]

train:   5%|▌         | 179/3515 [01:22<27:30,  2.02it/s]
overall:   4%|▍         | 180/4000 [01:24<31:45,  2.01it/s]

train:   5%|▌         | 180/3515 [01:22<27:43,  2.01it/s]
overall:   5%|▍         | 181/4000 [01:25<31:21,  2.03it/s]

train:   5%|▌         | 181/3515 [01:23<27:22,  2.03it/s]
overall:   5%|▍         | 182/4000 [01:25<31:26,  2.02it/s]

train:   5%|▌         | 182/3515 [01:23<27:27,  2.02it/s]
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train:   5%|▌         | 183/3515 [01:24<27:30,  2.02it/s]
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train:   5%|▌         | 184/3515 [01:24<26:05,  2.13it/s]
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train:   5%|▌         | 185/3515 [01:25<25:33,  2.17it/s]
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train:   5%|▌         | 186/3515 [01:25<25:44,  2.16it/s]
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train:   5%|▌         | 187/3515 [01:25<24:16,  2.29it/s]
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train:   5%|▌         | 188/3515 [01:26<23:47,  2.33it/s]
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train:   5%|▌         | 189/3515 [01:26<24:20,  2.28it/s]
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train:   5%|▌         | 190/3515 [01:27<23:24,  2.37it/s]
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train:   5%|▌         | 191/3515 [01:27<24:00,  2.31it/s]
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train:   5%|▌         | 192/3515 [01:27<20:00,  2.77it/s]
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train:   5%|▌         | 193/3515 [01:28<22:13,  2.49it/s]
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train:   6%|▌         | 194/3515 [01:29<27:12,  2.03it/s]
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train:   6%|▌         | 195/3515 [01:29<27:32,  2.01it/s]
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train:   6%|▌         | 196/3515 [01:30<27:08,  2.04it/s]
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train:   6%|▌         | 197/3515 [01:30<26:14,  2.11it/s]
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train:   6%|▌         | 198/3515 [01:30<25:18,  2.18it/s]
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train:   6%|▌         | 199/3515 [01:31<25:33,  2.16it/s]
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train:   6%|▌         | 200/3515 [01:31<25:57,  2.13it/s]
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train:   6%|▌         | 201/3515 [01:32<26:47,  2.06it/s]
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train:   6%|▌         | 202/3515 [01:32<27:39,  2.00it/s]
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train:   6%|▌         | 203/3515 [01:33<26:44,  2.06it/s]
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train:   6%|▌         | 204/3515 [01:33<27:01,  2.04it/s]
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train:   6%|▌         | 205/3515 [01:34<27:26,  2.01it/s]
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train:   6%|▌         | 206/3515 [01:34<21:45,  2.53it/s]
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train:   6%|▌         | 207/3515 [01:35<22:57,  2.40it/s]
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train:   6%|▌         | 208/3515 [01:35<23:52,  2.31it/s]
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train:   6%|▌         | 209/3515 [01:35<23:44,  2.32it/s]
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train:   6%|▌         | 210/3515 [01:36<23:56,  2.30it/s]
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train:   6%|▌         | 211/3515 [01:36<24:26,  2.25it/s]
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train:   6%|▌         | 212/3515 [01:37<24:17,  2.27it/s]
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train:   6%|▌         | 214/3515 [01:38<24:36,  2.24it/s]
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train:   6%|▌         | 215/3515 [01:38<25:13,  2.18it/s]
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train:   6%|▌         | 216/3515 [01:39<25:26,  2.16it/s]
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train:   6%|▌         | 217/3515 [01:39<25:50,  2.13it/s]
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train:   6%|▌         | 218/3515 [01:40<27:41,  1.98it/s]
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train:   6%|▌         | 219/3515 [01:40<26:55,  2.04it/s]
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train:   6%|▋         | 220/3515 [01:41<26:02,  2.11it/s]
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train:   6%|▋         | 221/3515 [01:41<25:18,  2.17it/s]
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train:   6%|▋         | 223/3515 [01:42<26:08,  2.10it/s]
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train:   6%|▋         | 224/3515 [01:42<25:26,  2.16it/s]
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train:   6%|▋         | 225/3515 [01:43<25:44,  2.13it/s]
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train:   6%|▋         | 226/3515 [01:43<26:03,  2.10it/s]
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train:   6%|▋         | 227/3515 [01:44<26:24,  2.07it/s]
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train:   6%|▋         | 228/3515 [01:44<20:14,  2.71it/s]
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train:   7%|▋         | 229/3515 [01:45<22:05,  2.48it/s]
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train:   7%|▋         | 230/3515 [01:45<23:50,  2.30it/s]
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train:   7%|▋         | 232/3515 [01:46<20:51,  2.62it/s]
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train:   7%|▋         | 233/3515 [01:46<22:37,  2.42it/s]
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overall:   6%|▌         | 237/4000 [01:50<28:05,  2.23it/s]

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overall:   6%|▌         | 239/4000 [01:51<29:58,  2.09it/s]

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overall:   6%|▌         | 243/4000 [01:53<33:07,  1.89it/s]

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overall:   6%|▌         | 244/4000 [01:54<31:58,  1.96it/s]

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overall:   6%|▌         | 245/4000 [01:54<31:05,  2.01it/s]

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overall:   6%|▌         | 246/4000 [01:55<29:50,  2.10it/s]

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overall:   6%|▌         | 247/4000 [01:55<29:29,  2.12it/s]

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overall:   6%|▌         | 248/4000 [01:55<29:38,  2.11it/s]

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overall:   6%|▌         | 249/4000 [01:56<28:59,  2.16it/s]

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overall:   6%|▋         | 250/4000 [01:56<30:22,  2.06it/s]

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overall:   6%|▋         | 260/4000 [02:01<30:42,  2.03it/s]

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overall:   7%|▋         | 263/4000 [02:03<30:18,  2.06it/s]

train:   7%|▋         | 263/3515 [02:01<26:22,  2.06it/s]
overall:   7%|▋         | 264/4000 [02:03<30:27,  2.04it/s]

train:   8%|▊         | 264/3515 [02:01<26:29,  2.04it/s]
overall:   7%|▋         | 265/4000 [02:04<29:24,  2.12it/s]

train:   8%|▊         | 265/3515 [02:02<25:35,  2.12it/s]
overall:   7%|▋         | 266/4000 [02:04<32:58,  1.89it/s]

train:   8%|▊         | 266/3515 [02:02<28:41,  1.89it/s]
overall:   7%|▋         | 267/4000 [02:05<31:40,  1.96it/s]

train:   8%|▊         | 267/3515 [02:03<27:33,  1.96it/s]
overall:   7%|▋         | 268/4000 [02:05<30:05,  2.07it/s]

train:   8%|▊         | 268/3515 [02:03<26:10,  2.07it/s]
overall:   7%|▋         | 269/4000 [02:06<28:17,  2.20it/s]

train:   8%|▊         | 269/3515 [02:04<24:36,  2.20it/s]
overall:   7%|▋         | 270/4000 [02:06<27:40,  2.25it/s]

train:   8%|▊         | 270/3515 [02:04<24:04,  2.25it/s]
overall:   7%|▋         | 271/4000 [02:06<28:40,  2.17it/s]

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overall:   7%|▋         | 272/4000 [02:07<29:22,  2.12it/s]

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overall:   7%|▋         | 273/4000 [02:07<29:31,  2.10it/s]

train:   8%|▊         | 273/3515 [02:05<25:41,  2.10it/s]
overall:   7%|▋         | 274/4000 [02:08<30:56,  2.01it/s]

train:   8%|▊         | 274/3515 [02:06<26:54,  2.01it/s]
overall:   7%|▋         | 275/4000 [02:08<31:16,  1.99it/s]

train:   8%|▊         | 275/3515 [02:06<27:11,  1.99it/s]
overall:   7%|▋         | 276/4000 [02:09<31:03,  2.00it/s]

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overall:   7%|▋         | 277/4000 [02:09<29:53,  2.08it/s]

train:   8%|▊         | 277/3515 [02:07<26:00,  2.08it/s]
overall:   7%|▋         | 278/4000 [02:10<28:50,  2.15it/s]

train:   8%|▊         | 278/3515 [02:08<25:04,  2.15it/s]
overall:   7%|▋         | 279/4000 [02:10<28:59,  2.14it/s]

train:   8%|▊         | 279/3515 [02:08<25:12,  2.14it/s]
overall:   7%|▋         | 280/4000 [02:11<29:26,  2.11it/s]

train:   8%|▊         | 280/3515 [02:09<25:36,  2.11it/s]
overall:   7%|▋         | 281/4000 [02:11<29:38,  2.09it/s]

train:   8%|▊         | 281/3515 [02:09<25:46,  2.09it/s]
overall:   7%|▋         | 282/4000 [02:12<28:44,  2.16it/s]

train:   8%|▊         | 282/3515 [02:10<24:59,  2.16it/s]
overall:   7%|▋         | 283/4000 [02:12<25:45,  2.41it/s]

train:   8%|▊         | 283/3515 [02:10<22:23,  2.41it/s]
overall:   7%|▋         | 284/4000 [02:13<27:11,  2.28it/s]

train:   8%|▊         | 284/3515 [02:11<23:38,  2.28it/s]
overall:   7%|▋         | 285/4000 [02:13<28:02,  2.21it/s]

train:   8%|▊         | 285/3515 [02:11<24:22,  2.21it/s]
overall:   7%|▋         | 286/4000 [02:13<28:36,  2.16it/s]

train:   8%|▊         | 286/3515 [02:11<24:52,  2.16it/s]
overall:   7%|▋         | 287/4000 [02:14<28:01,  2.21it/s]

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overall:   7%|▋         | 288/4000 [02:14<27:25,  2.26it/s]

train:   8%|▊         | 288/3515 [02:12<23:50,  2.26it/s]
overall:   7%|▋         | 289/4000 [02:15<28:15,  2.19it/s]

train:   8%|▊         | 289/3515 [02:13<24:34,  2.19it/s]
overall:   7%|▋         | 290/4000 [02:16<33:09,  1.86it/s]

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overall:   7%|▋         | 291/4000 [02:16<32:26,  1.91it/s]

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overall:   7%|▋         | 292/4000 [02:17<31:30,  1.96it/s]

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overall:   7%|▋         | 293/4000 [02:17<30:12,  2.05it/s]

train:   8%|▊         | 293/3515 [02:15<26:15,  2.05it/s]
overall:   7%|▋         | 294/4000 [02:17<30:13,  2.04it/s]

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overall:   7%|▋         | 295/4000 [02:18<30:23,  2.03it/s]

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overall:   7%|▋         | 296/4000 [02:18<30:35,  2.02it/s]

train:   8%|▊         | 296/3515 [02:16<26:35,  2.02it/s]
overall:   7%|▋         | 297/4000 [02:19<30:43,  2.01it/s]

train:   8%|▊         | 297/3515 [02:17<26:42,  2.01it/s]
overall:   7%|▋         | 298/4000 [02:20<31:56,  1.93it/s]

train:   8%|▊         | 298/3515 [02:18<27:45,  1.93it/s]
overall:   7%|▋         | 299/4000 [02:20<30:00,  2.06it/s]

train:   9%|▊         | 299/3515 [02:18<26:04,  2.06it/s]
overall:   8%|▊         | 300/4000 [02:20<30:22,  2.03it/s]

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overall:  12%|█▏        | 482/4000 [03:43<28:45,  2.04it/s]

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overall:  12%|█▏        | 483/4000 [03:44<27:45,  2.11it/s]

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overall:  12%|█▏        | 484/4000 [03:44<22:22,  2.62it/s]

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overall:  12%|█▏        | 485/4000 [03:44<24:07,  2.43it/s]

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overall:  12%|█▏        | 486/4000 [03:45<25:07,  2.33it/s]

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overall:  12%|█▏        | 487/4000 [03:45<25:54,  2.26it/s]

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overall:  12%|█▏        | 488/4000 [03:46<26:32,  2.21it/s]

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overall:  12%|█▏        | 489/4000 [03:46<27:09,  2.15it/s]

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overall:  12%|█▏        | 490/4000 [03:47<26:52,  2.18it/s]

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overall:  12%|█▏        | 491/4000 [03:47<23:44,  2.46it/s]

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overall:  12%|█▏        | 492/4000 [03:47<19:17,  3.03it/s]

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overall:  12%|█▏        | 493/4000 [03:48<21:58,  2.66it/s]

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overall:  12%|█▏        | 494/4000 [03:48<23:54,  2.44it/s]

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overall:  12%|█▏        | 495/4000 [03:49<24:55,  2.34it/s]

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overall:  12%|█▏        | 496/4000 [03:49<25:49,  2.26it/s]

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overall:  12%|█▏        | 497/4000 [03:49<24:23,  2.39it/s]

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overall:  12%|█▏        | 498/4000 [03:50<25:14,  2.31it/s]

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overall:  13%|█▎        | 503/4000 [03:52<25:12,  2.31it/s]

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overall:  13%|█▎        | 504/4000 [03:52<25:48,  2.26it/s]

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overall:  13%|█▎        | 505/4000 [03:53<26:13,  2.22it/s]

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overall:  13%|█▎        | 506/4000 [03:53<26:55,  2.16it/s]

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overall:  13%|█▎        | 507/4000 [03:54<26:24,  2.20it/s]

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overall:  13%|█▎        | 508/4000 [03:54<27:01,  2.15it/s]

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overall:  13%|█▎        | 509/4000 [03:55<27:37,  2.11it/s]

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overall:  13%|█▎        | 510/4000 [03:55<27:35,  2.11it/s]

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overall:  13%|█▎        | 511/4000 [03:56<27:49,  2.09it/s]

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overall:  13%|█▎        | 512/4000 [03:56<28:04,  2.07it/s]

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overall:  13%|█▎        | 513/4000 [03:57<27:23,  2.12it/s]

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overall:  13%|█▎        | 514/4000 [03:57<25:19,  2.29it/s]

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overall:  13%|█▎        | 515/4000 [03:57<20:52,  2.78it/s]

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overall:  13%|█▎        | 516/4000 [03:58<23:11,  2.50it/s]

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overall:  13%|█▎        | 517/4000 [03:58<25:20,  2.29it/s]

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overall:  13%|█▎        | 518/4000 [03:59<26:06,  2.22it/s]

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overall:  13%|█▎        | 519/4000 [03:59<27:05,  2.14it/s]

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overall:  13%|█▎        | 520/4000 [04:00<25:20,  2.29it/s]

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overall:  13%|█▎        | 521/4000 [04:00<20:35,  2.82it/s]

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overall:  13%|█▎        | 522/4000 [04:00<22:59,  2.52it/s]

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overall:  13%|█▎        | 523/4000 [04:01<24:38,  2.35it/s]

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overall:  13%|█▎        | 524/4000 [04:01<24:47,  2.34it/s]

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overall:  13%|█▎        | 525/4000 [04:02<24:54,  2.32it/s]

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overall:  13%|█▎        | 526/4000 [04:02<24:51,  2.33it/s]

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overall:  13%|█▎        | 527/4000 [04:03<26:17,  2.20it/s]

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overall:  13%|█▎        | 528/4000 [04:03<26:34,  2.18it/s]

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overall:  13%|█▎        | 529/4000 [04:04<27:02,  2.14it/s]

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overall:  13%|█▎        | 530/4000 [04:04<27:26,  2.11it/s]

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overall:  13%|█▎        | 531/4000 [04:05<27:42,  2.09it/s]

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overall:  13%|█▎        | 532/4000 [04:05<28:05,  2.06it/s]

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overall:  13%|█▎        | 533/4000 [04:05<27:08,  2.13it/s]

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overall:  13%|█▎        | 534/4000 [04:06<27:12,  2.12it/s]

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overall:  13%|█▎        | 535/4000 [04:06<27:35,  2.09it/s]

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overall:  13%|█▎        | 536/4000 [04:07<27:57,  2.07it/s]

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overall:  13%|█▎        | 537/4000 [04:07<28:02,  2.06it/s]

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overall:  13%|█▎        | 538/4000 [04:08<23:16,  2.48it/s]

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overall:  13%|█▎        | 539/4000 [04:08<18:02,  3.20it/s]

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overall:  14%|█▎        | 540/4000 [04:08<16:31,  3.49it/s]

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overall:  14%|█▎        | 541/4000 [04:08<13:19,  4.33it/s]

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overall:  14%|█▎        | 542/4000 [04:09<17:16,  3.34it/s]

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overall:  14%|█▎        | 543/4000 [04:09<18:27,  3.12it/s]

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overall:  14%|█▎        | 544/4000 [04:09<20:59,  2.74it/s]

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overall:  14%|█▎        | 545/4000 [04:10<23:23,  2.46it/s]

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overall:  14%|█▎        | 546/4000 [04:10<24:44,  2.33it/s]

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overall:  14%|█▎        | 547/4000 [04:11<25:36,  2.25it/s]

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overall:  14%|█▎        | 548/4000 [04:11<22:09,  2.60it/s]

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overall:  14%|█▎        | 549/4000 [04:12<23:48,  2.42it/s]

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overall:  14%|█▍        | 550/4000 [04:12<25:17,  2.27it/s]

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overall:  14%|█▍        | 551/4000 [04:13<26:09,  2.20it/s]

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overall:  14%|█▍        | 552/4000 [04:13<26:34,  2.16it/s]

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overall:  14%|█▍        | 553/4000 [04:13<25:10,  2.28it/s]

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overall:  14%|█▍        | 554/4000 [04:14<29:18,  1.96it/s]

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overall:  14%|█▍        | 555/4000 [04:15<28:28,  2.02it/s]

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overall:  14%|█▍        | 556/4000 [04:15<28:18,  2.03it/s]

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overall:  14%|█▍        | 557/4000 [04:16<28:20,  2.02it/s]

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overall:  14%|█▍        | 558/4000 [04:16<27:55,  2.05it/s]

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overall:  14%|█▍        | 560/4000 [04:17<26:32,  2.16it/s]

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overall:  14%|█▍        | 561/4000 [04:17<27:27,  2.09it/s]

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overall:  14%|█▍        | 562/4000 [04:18<28:21,  2.02it/s]

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overall:  14%|█▍        | 565/4000 [04:19<27:56,  2.05it/s]

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overall:  14%|█▍        | 566/4000 [04:20<28:09,  2.03it/s]

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overall:  14%|█▍        | 569/4000 [04:21<22:47,  2.51it/s]

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overall:  14%|█▍        | 570/4000 [04:21<23:22,  2.45it/s]

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overall:  15%|█▍        | 581/4000 [04:26<27:33,  2.07it/s]

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overall:  16%|█▌        | 638/4000 [04:52<19:19,  2.90it/s]

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overall:  16%|█▌        | 643/4000 [04:54<25:53,  2.16it/s]

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overall:  16%|█▌        | 644/4000 [04:55<26:16,  2.13it/s]

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overall:  16%|█▌        | 645/4000 [04:55<26:32,  2.11it/s]

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overall:  16%|█▌        | 648/4000 [04:56<25:22,  2.20it/s]

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overall:  17%|█▋        | 661/4000 [05:02<16:02,  3.47it/s]

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overall:  17%|█▋        | 665/4000 [05:04<25:15,  2.20it/s]

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overall:  17%|█▋        | 667/4000 [05:04<23:42,  2.34it/s]

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overall:  17%|█▋        | 668/4000 [05:05<23:50,  2.33it/s]

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overall:  17%|█▋        | 669/4000 [05:05<24:00,  2.31it/s]

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overall:  17%|█▋        | 685/4000 [05:12<25:48,  2.14it/s]

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overall:  17%|█▋        | 686/4000 [05:13<25:42,  2.15it/s]

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overall:  17%|█▋        | 690/4000 [05:14<24:29,  2.25it/s]

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train:  28%|██▊       | 996/3515 [07:35<19:37,  2.14it/s]
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train:  28%|██▊       | 999/3515 [07:36<20:09,  2.08it/s]train loss: 6.513671875
train per: 0.9432441872068655
train loss: 4.356637477874756
train per: 0.8676930414966347
train loss: 4.001040458679199
train per: 0.9000811497081228
train loss: 3.8549346923828125
train per: 0.9010173074382349
train loss: 3.7044143676757812
train per: 0.9167732461749799
train loss: 3.6311287879943848
train per: 0.9182447466007416
train loss: 3.565206527709961
train per: 0.8956817516275088
train loss: 3.530266523361206
train per: 0.9131802057913406
train loss: 3.467761516571045
train per: 0.9237705111001248
train loss: 3.4412872791290283
train per: 0.9142597166255038
train loss: 3.4076499938964844
train per: 0.9049189942086358
train loss: 3.4061858654022217
train per: 0.9119353709169126
train loss: 3.371347427368164
train per: 0.896137000903761
train loss: 3.316648483276367
train per: 0.9241069234927031
train loss: 3.2927956581115723
train per: 0.8974334349715493
train loss: 3.3526546955108643
train per: 0.8998330134835382
train loss: 3.296302080154419
train per: 0.9037976394269754
train loss: 3.338165283203125
train per: 0.8936124702548061
train loss: 3.331498622894287
train per: 0.9318275947759339
train loss: 3.3630173206329346
train per: 0.9069813031439143
train loss: 3.331737518310547
train per: 0.9149990820635212
train loss: 3.3045859336853027
train per: 0.9031785182427401
train loss: 3.321824312210083
train per: 0.9223844976523385
train loss: 3.3317370414733887
train per: 0.9072112316528398
train loss: 3.333709239959717
train per: 0.9175796534376747
train loss: 3.3737571239471436
train per: 0.9146576663452266
train loss: 3.3736190795898438
train per: 0.918981043294843
train loss: 3.393730878829956
train per: 0.9125936221141224
train loss: 3.3718342781066895
train per: 0.9054133984827054
train loss: 3.34765362739563
train per: 0.91219295029592
train loss: 3.3191046714782715
train per: 0.9197928152003898
train loss: 3.295827865600586
train per: 0.9194680458071666
train loss: 3.325218677520752
train per: 0.9218117345270729
train loss: 3.373420238494873
train per: 0.9151349998609682
train loss: 3.337705612182617
train per: 0.913519202996108
train loss: 3.3003039360046387
train per: 0.9057275504558466
train loss: 3.2883687019348145
train per: 0.9158015321830028
train loss: 3.2924461364746094
train per: 0.9033154511623411
train loss: 3.2581565380096436
train per: 0.8987118577655875
train loss: 3.289067029953003
train per: 0.9217994195420832
train loss: 3.286954164505005
train per: 0.9128848291527717
train loss: 3.276327610015869
train per: 0.9110954192387417
train loss: 3.289468288421631
train per: 0.914278970970026
train loss: 3.272221803665161
train per: 0.9004218967008202
train loss: 3.2816975116729736
train per: 0.9077322102668139
train loss: 3.2594058513641357
train per: 0.9011874469889737
train loss: 3.259685516357422
train per: 0.9234383637368712
train loss: 3.2745139598846436
train per: 0.9135224388200212
train loss: 3.2672455310821533
train per: 0.9097650157252807
train loss: 3.2355847358703613
train per: 0.9095171543212659
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  15%|█▍        | 401/2703 [00:00<00:00, 4008.40it/s]


word -> phonemes:  30%|██▉       | 802/2703 [00:00<00:00, 3953.32it/s]


word -> phonemes:  48%|████▊     | 1287/2703 [00:00<00:00, 4358.07it/s]


word -> phonemes:  64%|██████▍   | 1724/2703 [00:00<00:00, 4249.72it/s]


word -> phonemes:  80%|███████▉  | 2150/2703 [00:00<00:00, 4159.10it/s]


word -> phonemes:  95%|█████████▍| 2567/2703 [00:00<00:00, 4011.96it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4058.43it/s]



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overall:  47%|████▋     | 1870/4000 [16:13<16:44,  2.12it/s]

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overall:  47%|████▋     | 1871/4000 [16:13<17:06,  2.07it/s]

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overall:  47%|████▋     | 1878/4000 [16:16<15:57,  2.22it/s]

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overall:  47%|████▋     | 1893/4000 [16:23<12:39,  2.77it/s]

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overall:  47%|████▋     | 1894/4000 [16:23<13:59,  2.51it/s]

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overall:  47%|████▋     | 1895/4000 [16:24<14:57,  2.35it/s]

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overall:  47%|████▋     | 1896/4000 [16:25<17:53,  1.96it/s]

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overall:  47%|████▋     | 1897/4000 [16:25<17:36,  1.99it/s]

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overall:  47%|████▋     | 1898/4000 [16:26<17:21,  2.02it/s]

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overall:  48%|████▊     | 1900/4000 [16:27<17:31,  2.00it/s]

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overall:  48%|████▊     | 1901/4000 [16:27<17:37,  1.98it/s]

train:  54%|█████▍    | 1901/3515 [16:25<13:33,  1.98it/s]
overall:  48%|████▊     | 1902/4000 [16:28<17:23,  2.01it/s]

train:  54%|█████▍    | 1902/3515 [16:26<13:21,  2.01it/s]
overall:  48%|████▊     | 1903/4000 [16:28<17:37,  1.98it/s]

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overall:  48%|████▊     | 1904/4000 [16:29<17:17,  2.02it/s]

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overall:  48%|████▊     | 1905/4000 [16:29<17:03,  2.05it/s]

train:  54%|█████▍    | 1905/3515 [16:27<13:06,  2.05it/s]
overall:  48%|████▊     | 1906/4000 [16:30<16:55,  2.06it/s]

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overall:  48%|████▊     | 1907/4000 [16:30<13:46,  2.53it/s]

train:  54%|█████▍    | 1907/3515 [16:28<10:34,  2.53it/s]
overall:  48%|████▊     | 1908/4000 [16:30<14:54,  2.34it/s]

train:  54%|█████▍    | 1908/3515 [16:28<11:26,  2.34it/s]
overall:  48%|████▊     | 1909/4000 [16:31<15:33,  2.24it/s]

train:  54%|█████▍    | 1909/3515 [16:29<11:56,  2.24it/s]
overall:  48%|████▊     | 1910/4000 [16:31<16:05,  2.17it/s]

train:  54%|█████▍    | 1910/3515 [16:29<12:21,  2.17it/s]
overall:  48%|████▊     | 1911/4000 [16:32<15:59,  2.18it/s]

train:  54%|█████▍    | 1911/3515 [16:30<12:17,  2.18it/s]
overall:  48%|████▊     | 1912/4000 [16:32<15:23,  2.26it/s]

train:  54%|█████▍    | 1912/3515 [16:30<11:48,  2.26it/s]
overall:  48%|████▊     | 1913/4000 [16:33<16:00,  2.17it/s]

train:  54%|█████▍    | 1913/3515 [16:31<12:17,  2.17it/s]
overall:  48%|████▊     | 1914/4000 [16:33<16:26,  2.11it/s]

train:  54%|█████▍    | 1914/3515 [16:31<12:37,  2.11it/s]
overall:  48%|████▊     | 1915/4000 [16:33<14:13,  2.44it/s]

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overall:  48%|████▊     | 1916/4000 [16:34<15:15,  2.28it/s]

train:  55%|█████▍    | 1916/3515 [16:32<11:42,  2.28it/s]
overall:  48%|████▊     | 1917/4000 [16:34<15:55,  2.18it/s]

train:  55%|█████▍    | 1917/3515 [16:32<12:13,  2.18it/s]
overall:  48%|████▊     | 1918/4000 [16:35<15:47,  2.20it/s]

train:  55%|█████▍    | 1918/3515 [16:33<12:06,  2.20it/s]
overall:  48%|████▊     | 1919/4000 [16:35<16:18,  2.13it/s]

train:  55%|█████▍    | 1919/3515 [16:33<12:30,  2.13it/s]
overall:  48%|████▊     | 1920/4000 [16:36<18:45,  1.85it/s]

train:  55%|█████▍    | 1920/3515 [16:34<14:23,  1.85it/s]
overall:  48%|████▊     | 1921/4000 [16:36<16:14,  2.13it/s]

train:  55%|█████▍    | 1921/3515 [16:34<12:27,  2.13it/s]
overall:  48%|████▊     | 1922/4000 [16:37<16:29,  2.10it/s]

train:  55%|█████▍    | 1922/3515 [16:35<12:38,  2.10it/s]
overall:  48%|████▊     | 1923/4000 [16:37<17:17,  2.00it/s]

train:  55%|█████▍    | 1923/3515 [16:35<13:14,  2.00it/s]
overall:  48%|████▊     | 1924/4000 [16:38<14:56,  2.32it/s]

train:  55%|█████▍    | 1924/3515 [16:36<11:26,  2.32it/s]
overall:  48%|████▊     | 1925/4000 [16:38<12:59,  2.66it/s]

train:  55%|█████▍    | 1925/3515 [16:36<09:56,  2.66it/s]
overall:  48%|████▊     | 1926/4000 [16:38<11:07,  3.11it/s]

train:  55%|█████▍    | 1926/3515 [16:36<08:31,  3.11it/s]
overall:  48%|████▊     | 1927/4000 [16:39<13:00,  2.65it/s]

train:  55%|█████▍    | 1927/3515 [16:37<09:58,  2.65it/s]
overall:  48%|████▊     | 1928/4000 [16:39<11:22,  3.03it/s]

train:  55%|█████▍    | 1928/3515 [16:37<08:43,  3.03it/s]
overall:  48%|████▊     | 1929/4000 [16:39<12:31,  2.76it/s]

train:  55%|█████▍    | 1929/3515 [16:37<09:35,  2.76it/s]
overall:  48%|████▊     | 1930/4000 [16:40<14:05,  2.45it/s]

train:  55%|█████▍    | 1930/3515 [16:38<10:47,  2.45it/s]
overall:  48%|████▊     | 1931/4000 [16:40<16:00,  2.15it/s]

train:  55%|█████▍    | 1931/3515 [16:38<12:15,  2.15it/s]
overall:  48%|████▊     | 1932/4000 [16:40<12:27,  2.77it/s]

train:  55%|█████▍    | 1932/3515 [16:38<09:32,  2.77it/s]
overall:  48%|████▊     | 1933/4000 [16:41<13:46,  2.50it/s]

train:  55%|█████▍    | 1933/3515 [16:39<10:32,  2.50it/s]
overall:  48%|████▊     | 1934/4000 [16:41<14:13,  2.42it/s]

train:  55%|█████▌    | 1934/3515 [16:39<10:52,  2.42it/s]
overall:  48%|████▊     | 1935/4000 [16:42<14:45,  2.33it/s]

train:  55%|█████▌    | 1935/3515 [16:40<11:17,  2.33it/s]
overall:  48%|████▊     | 1936/4000 [16:42<15:24,  2.23it/s]

train:  55%|█████▌    | 1936/3515 [16:40<11:47,  2.23it/s]
overall:  48%|████▊     | 1937/4000 [16:43<15:48,  2.18it/s]

train:  55%|█████▌    | 1937/3515 [16:41<12:05,  2.18it/s]
overall:  48%|████▊     | 1938/4000 [16:43<13:43,  2.50it/s]

train:  55%|█████▌    | 1938/3515 [16:41<10:29,  2.50it/s]
overall:  48%|████▊     | 1939/4000 [16:44<13:55,  2.47it/s]

train:  55%|█████▌    | 1939/3515 [16:42<10:39,  2.47it/s]
overall:  48%|████▊     | 1940/4000 [16:44<11:44,  2.92it/s]

train:  55%|█████▌    | 1940/3515 [16:42<08:59,  2.92it/s]
overall:  49%|████▊     | 1941/4000 [16:44<13:01,  2.63it/s]

train:  55%|█████▌    | 1941/3515 [16:42<09:57,  2.63it/s]
overall:  49%|████▊     | 1942/4000 [16:44<10:57,  3.13it/s]

train:  55%|█████▌    | 1942/3515 [16:42<08:22,  3.13it/s]
overall:  49%|████▊     | 1943/4000 [16:45<12:35,  2.72it/s]

train:  55%|█████▌    | 1943/3515 [16:43<09:37,  2.72it/s]
overall:  49%|████▊     | 1944/4000 [16:46<16:19,  2.10it/s]

train:  55%|█████▌    | 1944/3515 [16:44<12:28,  2.10it/s]
overall:  49%|████▊     | 1945/4000 [16:46<16:30,  2.07it/s]

train:  55%|█████▌    | 1945/3515 [16:44<12:36,  2.07it/s]
overall:  49%|████▊     | 1946/4000 [16:47<16:31,  2.07it/s]

train:  55%|█████▌    | 1946/3515 [16:45<12:37,  2.07it/s]
overall:  49%|████▊     | 1947/4000 [16:47<17:23,  1.97it/s]

train:  55%|█████▌    | 1947/3515 [16:45<13:17,  1.97it/s]
overall:  49%|████▊     | 1948/4000 [16:48<16:44,  2.04it/s]

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overall:  49%|████▊     | 1949/4000 [16:48<16:33,  2.06it/s]

train:  55%|█████▌    | 1949/3515 [16:46<12:38,  2.06it/s]
overall:  49%|████▉     | 1950/4000 [16:49<16:19,  2.09it/s]

train:  55%|█████▌    | 1950/3515 [16:47<12:27,  2.09it/s]
overall:  49%|████▉     | 1951/4000 [16:49<16:37,  2.05it/s]

train:  56%|█████▌    | 1951/3515 [16:47<12:41,  2.05it/s]
overall:  49%|████▉     | 1952/4000 [16:50<16:54,  2.02it/s]

train:  56%|█████▌    | 1952/3515 [16:48<12:54,  2.02it/s]
overall:  49%|████▉     | 1953/4000 [16:50<16:25,  2.08it/s]

train:  56%|█████▌    | 1953/3515 [16:48<12:32,  2.08it/s]
overall:  49%|████▉     | 1954/4000 [16:51<16:44,  2.04it/s]

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overall:  49%|████▉     | 1955/4000 [16:51<17:50,  1.91it/s]

train:  56%|█████▌    | 1955/3515 [16:49<13:36,  1.91it/s]
overall:  49%|████▉     | 1956/4000 [16:52<17:01,  2.00it/s]

train:  56%|█████▌    | 1956/3515 [16:50<12:59,  2.00it/s]
overall:  49%|████▉     | 1957/4000 [16:52<16:22,  2.08it/s]

train:  56%|█████▌    | 1957/3515 [16:50<12:29,  2.08it/s]
overall:  49%|████▉     | 1958/4000 [16:52<15:54,  2.14it/s]

train:  56%|█████▌    | 1958/3515 [16:50<12:08,  2.14it/s]
overall:  49%|████▉     | 1959/4000 [16:53<14:48,  2.30it/s]

train:  56%|█████▌    | 1959/3515 [16:51<11:17,  2.30it/s]
overall:  49%|████▉     | 1960/4000 [16:53<12:40,  2.68it/s]

train:  56%|█████▌    | 1960/3515 [16:51<09:40,  2.68it/s]
overall:  49%|████▉     | 1961/4000 [16:54<14:03,  2.42it/s]

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overall:  49%|████▉     | 1962/4000 [16:54<15:10,  2.24it/s]

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overall:  49%|████▉     | 1963/4000 [16:55<15:33,  2.18it/s]

train:  56%|█████▌    | 1963/3515 [16:53<11:51,  2.18it/s]
overall:  49%|████▉     | 1964/4000 [16:55<15:46,  2.15it/s]

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overall:  49%|████▉     | 1965/4000 [16:55<15:24,  2.20it/s]

train:  56%|█████▌    | 1965/3515 [16:53<11:44,  2.20it/s]
overall:  49%|████▉     | 1966/4000 [16:56<15:34,  2.18it/s]

train:  56%|█████▌    | 1966/3515 [16:54<11:51,  2.18it/s]
overall:  49%|████▉     | 1967/4000 [16:56<15:59,  2.12it/s]

train:  56%|█████▌    | 1967/3515 [16:54<12:10,  2.12it/s]
overall:  49%|████▉     | 1968/4000 [16:57<18:16,  1.85it/s]

train:  56%|█████▌    | 1968/3515 [16:55<13:55,  1.85it/s]
overall:  49%|████▉     | 1969/4000 [16:58<17:53,  1.89it/s]

train:  56%|█████▌    | 1969/3515 [16:56<13:37,  1.89it/s]
overall:  49%|████▉     | 1970/4000 [16:58<17:26,  1.94it/s]

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overall:  49%|████▉     | 1971/4000 [16:59<17:45,  1.90it/s]

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overall:  49%|████▉     | 1972/4000 [16:59<16:33,  2.04it/s]

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overall:  49%|████▉     | 1974/4000 [17:00<16:08,  2.09it/s]

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overall:  49%|████▉     | 1975/4000 [17:00<16:18,  2.07it/s]

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overall:  49%|████▉     | 1976/4000 [17:01<16:24,  2.05it/s]

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overall:  49%|████▉     | 1977/4000 [17:01<13:05,  2.58it/s]

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overall:  49%|████▉     | 1978/4000 [17:02<14:03,  2.40it/s]

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overall:  49%|████▉     | 1979/4000 [17:02<15:43,  2.14it/s]

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overall:  50%|████▉     | 1980/4000 [17:03<15:53,  2.12it/s]

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overall:  50%|████▉     | 1981/4000 [17:03<12:19,  2.73it/s]

train:  56%|█████▋    | 1981/3515 [17:01<09:22,  2.73it/s]
overall:  50%|████▉     | 1982/4000 [17:03<13:43,  2.45it/s]

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overall:  50%|████▉     | 1983/4000 [17:04<13:49,  2.43it/s]

train:  56%|█████▋    | 1983/3515 [17:02<10:30,  2.43it/s]
overall:  50%|████▉     | 1984/4000 [17:04<14:27,  2.33it/s]

train:  56%|█████▋    | 1984/3515 [17:02<10:58,  2.33it/s]
overall:  50%|████▉     | 1985/4000 [17:05<15:13,  2.21it/s]

train:  56%|█████▋    | 1985/3515 [17:03<11:33,  2.21it/s]
overall:  50%|████▉     | 1986/4000 [17:05<12:55,  2.60it/s]

train:  57%|█████▋    | 1986/3515 [17:03<09:48,  2.60it/s]
overall:  50%|████▉     | 1987/4000 [17:05<13:46,  2.44it/s]

train:  57%|█████▋    | 1987/3515 [17:03<10:27,  2.44it/s]
overall:  50%|████▉     | 1988/4000 [17:06<14:38,  2.29it/s]

train:  57%|█████▋    | 1988/3515 [17:04<11:06,  2.29it/s]
overall:  50%|████▉     | 1989/4000 [17:06<15:06,  2.22it/s]

train:  57%|█████▋    | 1989/3515 [17:04<11:27,  2.22it/s]
overall:  50%|████▉     | 1990/4000 [17:07<15:38,  2.14it/s]

train:  57%|█████▋    | 1990/3515 [17:05<11:51,  2.14it/s]
overall:  50%|████▉     | 1991/4000 [17:07<15:54,  2.11it/s]

train:  57%|█████▋    | 1991/3515 [17:05<12:03,  2.11it/s]
overall:  50%|████▉     | 1992/4000 [17:08<18:03,  1.85it/s]

train:  57%|█████▋    | 1992/3515 [17:06<13:42,  1.85it/s]
overall:  50%|████▉     | 1993/4000 [17:09<17:46,  1.88it/s]

train:  57%|█████▋    | 1993/3515 [17:07<13:28,  1.88it/s]
overall:  50%|████▉     | 1994/4000 [17:09<17:33,  1.90it/s]

train:  57%|█████▋    | 1994/3515 [17:07<13:18,  1.90it/s]
overall:  50%|████▉     | 1995/4000 [17:10<17:56,  1.86it/s]

train:  57%|█████▋    | 1995/3515 [17:08<13:36,  1.86it/s]
overall:  50%|████▉     | 1996/4000 [17:10<16:57,  1.97it/s]

train:  57%|█████▋    | 1996/3515 [17:08<12:51,  1.97it/s]
overall:  50%|████▉     | 1997/4000 [17:11<16:35,  2.01it/s]

train:  57%|█████▋    | 1997/3515 [17:09<12:34,  2.01it/s]
overall:  50%|████▉     | 1998/4000 [17:11<16:31,  2.02it/s]

train:  57%|█████▋    | 1998/3515 [17:09<12:31,  2.02it/s]
overall:  50%|████▉     | 1999/4000 [17:12<16:37,  2.01it/s]

train:  57%|█████▋    | 1999/3515 [17:10<12:35,  2.01it/s]dev loss: 3.485164165496826
dev per: 0.8962591050988553
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.268644332885742
train per: 0.9151270772238514
train loss: 3.273780107498169
train per: 0.9198437130002368
train loss: 3.2843329906463623
train per: 0.9172437435721632
train loss: 3.316558361053467
train per: 0.9091560253908662
train loss: 3.293161392211914
train per: 0.918903996134999
train loss: 3.3009438514709473
train per: 0.9153097798259089
train loss: 3.307839870452881
train per: 0.9014857314659385
train loss: 3.2548370361328125
train per: 0.9095956185760372
train loss: 3.349236249923706
train per: 0.9132547864506627
train loss: 3.267503261566162
train per: 0.922542647300373
train loss: 3.2480170726776123
train per: 0.9204430321451598
train loss: 3.2718377113342285
train per: 0.9058606598225855
train loss: 3.308683395385742
train per: 0.9162506789436929
train loss: 3.3661885261535645
train per: 0.9077216154432309
train loss: 3.5545170307159424
train per: 0.9014327343370568
train loss: 3.402268886566162
train per: 0.9064982319479321
train loss: 3.3582675457000732
train per: 0.9068143802574483
train loss: 3.3113887310028076
train per: 0.9146813754254196
train loss: 3.2795283794403076
train per: 0.9215779230500524
train loss: 3.2719740867614746
train per: 0.9222636662302695
train loss: 3.2941784858703613
train per: 0.9214758020943217
train loss: 3.4167914390563965
train per: 0.9106066693451185
train loss: 3.438718795776367
train per: 0.9013847889216886
train loss: 3.468636989593506
train per: 0.9230625888052922
train loss: 3.7158541679382324
train per: 0.9024390243902439
train loss: 4.448486328125
train per: 0.8945706400594416
train loss: 3.9486594200134277
train per: 0.9023177913447512
train loss: 4.095545768737793
train per: 0.8940154575384687
train loss: 3.7012455463409424
train per: 0.9119744138963058
train loss: 3.839456081390381
train per: 0.8965767367854552
train loss: 3.778407335281372
train per: 0.9012317860898302
train loss: 3.750342607498169
train per: 0.8935644878670419
train loss: 3.7839789390563965
train per: 0.8924211841599384
train loss: 3.8885860443115234
train per: 0.938214505953228
train loss: 4.010041236877441
train per: 0.9242830109852301
train loss: 3.8370394706726074
train per: 0.9264636337841672
train loss: 3.864899158477783
train per: 0.9225079170014653
train loss: 3.7766900062561035
train per: 0.9136834547133039
train loss: 3.5956883430480957
train per: 0.9010606160834381
train loss: 3.502161741256714
train per: 0.9200028060985876
train loss: 3.750349521636963
train per: 0.9108567382582016
train loss: 3.8065056800842285
train per: 0.8974982709689728
train loss: 3.648890256881714
train per: 0.8954079917527622
train loss: 3.7896342277526855
train per: 0.8923333088469355
train loss: 3.729247570037842
train per: 0.9238684121540022
train loss: 3.564356565475464
train per: 0.9229984228592634
train loss: 3.7419466972351074
train per: 0.9195836403831983
train loss: 3.5252654552459717
train per: 0.9154315185693972
train loss: 3.392043352127075
train per: 0.9167882213510803
train loss: 3.496250867843628
train per: 0.9205306223654848
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  16%|█▌        | 438/2703 [00:00<00:00, 4370.63it/s]


word -> phonemes:  32%|███▏      | 876/2703 [00:00<00:00, 4123.14it/s]


word -> phonemes:  48%|████▊     | 1290/2703 [00:00<00:00, 4070.99it/s]


word -> phonemes:  63%|██████▎   | 1698/2703 [00:00<00:00, 4063.07it/s]


word -> phonemes:  80%|████████  | 2173/2703 [00:00<00:00, 4275.84it/s]


word -> phonemes:  97%|█████████▋| 2621/2703 [00:00<00:00, 4342.05it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4259.31it/s]



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


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overall:  74%|███████▍  | 2967/4000 [26:27<08:03,  2.14it/s]

train:  84%|████████▍ | 2967/3515 [26:25<04:16,  2.14it/s]
overall:  74%|███████▍  | 2968/4000 [26:28<08:05,  2.13it/s]

train:  84%|████████▍ | 2968/3515 [26:26<04:17,  2.13it/s]
overall:  74%|███████▍  | 2969/4000 [26:28<06:49,  2.52it/s]

train:  84%|████████▍ | 2969/3515 [26:26<03:36,  2.52it/s]
overall:  74%|███████▍  | 2970/4000 [26:28<07:15,  2.36it/s]

train:  84%|████████▍ | 2970/3515 [26:26<03:50,  2.36it/s]
overall:  74%|███████▍  | 2971/4000 [26:29<05:36,  3.06it/s]

train:  85%|████████▍ | 2971/3515 [26:27<02:57,  3.06it/s]
overall:  74%|███████▍  | 2972/4000 [26:29<07:22,  2.33it/s]

train:  85%|████████▍ | 2972/3515 [26:27<03:53,  2.33it/s]
overall:  74%|███████▍  | 2973/4000 [26:30<07:47,  2.20it/s]

train:  85%|████████▍ | 2973/3515 [26:28<04:06,  2.20it/s]
overall:  74%|███████▍  | 2974/4000 [26:30<06:46,  2.52it/s]

train:  85%|████████▍ | 2974/3515 [26:28<03:34,  2.52it/s]
overall:  74%|███████▍  | 2975/4000 [26:30<07:18,  2.34it/s]

train:  85%|████████▍ | 2975/3515 [26:28<03:51,  2.34it/s]
overall:  74%|███████▍  | 2976/4000 [26:31<07:14,  2.35it/s]

train:  85%|████████▍ | 2976/3515 [26:29<03:48,  2.35it/s]
overall:  74%|███████▍  | 2977/4000 [26:31<07:37,  2.24it/s]

train:  85%|████████▍ | 2977/3515 [26:29<04:00,  2.24it/s]
overall:  74%|███████▍  | 2978/4000 [26:32<07:51,  2.17it/s]

train:  85%|████████▍ | 2978/3515 [26:30<04:07,  2.17it/s]
overall:  74%|███████▍  | 2979/4000 [26:32<08:26,  2.02it/s]

train:  85%|████████▍ | 2979/3515 [26:30<04:25,  2.02it/s]
overall:  74%|███████▍  | 2980/4000 [26:33<08:34,  1.98it/s]

train:  85%|████████▍ | 2980/3515 [26:31<04:29,  1.98it/s]
overall:  75%|███████▍  | 2981/4000 [26:34<08:44,  1.94it/s]

train:  85%|████████▍ | 2981/3515 [26:32<04:34,  1.94it/s]
overall:  75%|███████▍  | 2982/4000 [26:34<08:42,  1.95it/s]

train:  85%|████████▍ | 2982/3515 [26:32<04:33,  1.95it/s]
overall:  75%|███████▍  | 2983/4000 [26:35<08:43,  1.94it/s]

train:  85%|████████▍ | 2983/3515 [26:33<04:34,  1.94it/s]
overall:  75%|███████▍  | 2984/4000 [26:35<08:44,  1.94it/s]

train:  85%|████████▍ | 2984/3515 [26:33<04:34,  1.94it/s]
overall:  75%|███████▍  | 2985/4000 [26:36<08:33,  1.98it/s]

train:  85%|████████▍ | 2985/3515 [26:34<04:28,  1.98it/s]
overall:  75%|███████▍  | 2986/4000 [26:36<08:33,  1.97it/s]

train:  85%|████████▍ | 2986/3515 [26:34<04:27,  1.97it/s]
overall:  75%|███████▍  | 2987/4000 [26:37<09:43,  1.74it/s]

train:  85%|████████▍ | 2987/3515 [26:35<05:04,  1.74it/s]
overall:  75%|███████▍  | 2988/4000 [26:37<09:13,  1.83it/s]

train:  85%|████████▌ | 2988/3515 [26:35<04:48,  1.83it/s]
overall:  75%|███████▍  | 2989/4000 [26:38<08:57,  1.88it/s]

train:  85%|████████▌ | 2989/3515 [26:36<04:39,  1.88it/s]
overall:  75%|███████▍  | 2990/4000 [26:38<08:48,  1.91it/s]

train:  85%|████████▌ | 2990/3515 [26:36<04:34,  1.91it/s]
overall:  75%|███████▍  | 2991/4000 [26:39<07:20,  2.29it/s]

train:  85%|████████▌ | 2991/3515 [26:37<03:48,  2.29it/s]
overall:  75%|███████▍  | 2992/4000 [26:39<07:33,  2.22it/s]

train:  85%|████████▌ | 2992/3515 [26:37<03:55,  2.22it/s]
overall:  75%|███████▍  | 2993/4000 [26:39<07:04,  2.37it/s]

train:  85%|████████▌ | 2993/3515 [26:37<03:39,  2.37it/s]
overall:  75%|███████▍  | 2994/4000 [26:40<07:12,  2.33it/s]

train:  85%|████████▌ | 2994/3515 [26:38<03:43,  2.33it/s]
overall:  75%|███████▍  | 2995/4000 [26:40<07:29,  2.23it/s]

train:  85%|████████▌ | 2995/3515 [26:38<03:52,  2.23it/s]
overall:  75%|███████▍  | 2996/4000 [26:41<07:37,  2.19it/s]

train:  85%|████████▌ | 2996/3515 [26:39<03:56,  2.19it/s]
overall:  75%|███████▍  | 2997/4000 [26:41<06:13,  2.69it/s]

train:  85%|████████▌ | 2997/3515 [26:39<03:12,  2.69it/s]
overall:  75%|███████▍  | 2998/4000 [26:41<05:34,  3.00it/s]

train:  85%|████████▌ | 2998/3515 [26:39<02:52,  3.00it/s]
overall:  75%|███████▍  | 2999/4000 [26:42<06:14,  2.67it/s]

train:  85%|████████▌ | 2999/3515 [26:40<03:12,  2.67it/s]dev loss: 3.7025654315948486
dev per: 0.9170499479708637
train loss: 3.4204280376434326
train per: 0.9184804023827736
train loss: 3.435068130493164
train per: 0.9143394266208227
train loss: 3.374650478363037
train per: 0.9235043961491299
train loss: 3.4752554893493652
train per: 0.9155265275800161
train loss: 3.4156157970428467
train per: 0.9041450777202072
train loss: 3.485144853591919
train per: 0.9121448353677301
train loss: 3.5340588092803955
train per: 0.9189797037849698
train loss: 3.6451308727264404
train per: 0.9011091036836294
train loss: 3.5564658641815186
train per: 0.9265250815773464
train loss: 3.471682071685791
train per: 0.9262280981987074
train loss: 3.450636386871338
train per: 0.9268163337458016
train loss: 3.4684784412384033
train per: 0.9253107671283277
train loss: 3.738030195236206
train per: 0.9186954418776055
train loss: 3.698690891265869
train per: 0.8944168608774952
train loss: 3.764741897583008
train per: 0.927963451445354
train loss: 3.6632144451141357
train per: 0.9153735784886811
train loss: 3.5163776874542236
train per: 0.9048724483358986
train loss: 3.5085361003875732
train per: 0.9196595785031885
train loss: 4.3200788497924805
train per: 0.890285456391741
train loss: 4.059850215911865
train per: 0.8786362046231264
train loss: 3.7973761558532715
train per: 0.9022704351462376
train loss: 3.915475368499756
train per: 0.9313728069021754
train loss: 3.950138568878174
train per: 0.9179047533551775
train loss: 3.857736110687256
train per: 0.9737312711454809
train loss: 3.7717273235321045
train per: 0.9724703737465816
train loss: 3.7378668785095215
train per: 0.9392398015993522
train loss: 3.6303467750549316
train per: 0.9489405099150142
train loss: 4.071969032287598
train per: 0.9129911893121389
train loss: 3.9953742027282715
train per: 0.94091573186737
train loss: 3.9626107215881348
train per: 0.9512930146301257
train loss: 3.8865084648132324
train per: 0.9271047925203179
train loss: 3.7545418739318848
train per: 0.9357853848021365
train loss: 3.6742000579833984
train per: 0.9396237078201898
train loss: 3.7130045890808105
train per: 0.927271238708621
train loss: 3.7688870429992676
train per: 0.9518946383882302
train loss: 3.715313673019409
train per: 0.9394001328496244
train loss: 3.8023810386657715
train per: 0.9106045145715637
train loss: 3.57098388671875
train per: 0.933954113468369
train loss: 3.5715599060058594
train per: 0.9119060751713813
train loss: 3.698883056640625
train per: 0.9074987978639941
train loss: 3.6409389972686768
train per: 0.8945827232796486
train loss: 3.772581100463867
train per: 0.9028420187069586
train loss: 3.6851143836975098
train per: 0.9191886144282676
train loss: 3.8271472454071045
train per: 0.9200497942177734
train loss: 3.841529369354248
train per: 0.9030070146482361
train loss: 3.8895370960235596
train per: 0.9228851963746224
train loss: 3.761317729949951
train per: 0.915090353210211
train loss: 3.8707098960876465
train per: 0.8869700203745028
train loss: 3.7508273124694824
train per: 0.9027273179714328
train loss: 3.5869288444519043
train per: 0.9258159477793422
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 483/2703 [00:00<00:00, 4821.29it/s]


word -> phonemes:  36%|███▌      | 966/2703 [00:00<00:00, 4384.49it/s]


word -> phonemes:  52%|█████▏    | 1408/2703 [00:00<00:00, 4276.94it/s]


word -> phonemes:  68%|██████▊   | 1837/2703 [00:00<00:00, 4004.12it/s]


word -> phonemes:  84%|████████▍ | 2271/2703 [00:00<00:00, 4114.52it/s]


word -> phonemes:  99%|█████████▉| 2685/2703 [00:00<00:00, 3917.01it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 4076.67it/s]



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train: 100%|█████████▉| 3500/3515 [32:25<00:06,  2.29it/s]
overall:  88%|████████▊ | 3501/4000 [32:27<03:41,  2.25it/s]

train: 100%|█████████▉| 3501/3515 [32:25<00:06,  2.25it/s]
overall:  88%|████████▊ | 3502/4000 [32:28<03:48,  2.18it/s]

train: 100%|█████████▉| 3502/3515 [32:26<00:05,  2.18it/s]
overall:  88%|████████▊ | 3503/4000 [32:28<03:46,  2.20it/s]

train: 100%|█████████▉| 3503/3515 [32:26<00:05,  2.20it/s]
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train: 100%|█████████▉| 3504/3515 [32:26<00:04,  2.23it/s]
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train: 100%|█████████▉| 3505/3515 [32:27<00:04,  2.13it/s]
overall:  88%|████████▊ | 3506/4000 [32:29<03:56,  2.09it/s]

train: 100%|█████████▉| 3506/3515 [32:27<00:04,  2.09it/s]
overall:  88%|████████▊ | 3507/4000 [32:30<03:58,  2.06it/s]

train: 100%|█████████▉| 3507/3515 [32:28<00:03,  2.06it/s]
overall:  88%|████████▊ | 3508/4000 [32:30<04:00,  2.04it/s]

train: 100%|█████████▉| 3508/3515 [32:28<00:03,  2.04it/s]
overall:  88%|████████▊ | 3509/4000 [32:31<03:55,  2.08it/s]

train: 100%|█████████▉| 3509/3515 [32:29<00:02,  2.08it/s]
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train: 100%|█████████▉| 3510/3515 [32:29<00:02,  2.10it/s]
overall:  88%|████████▊ | 3511/4000 [32:32<03:35,  2.27it/s]

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overall:  88%|████████▊ | 3512/4000 [32:32<03:42,  2.19it/s]

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overall:  88%|████████▊ | 3515/4000 [32:34<03:52,  2.08it/s]

train: 100%|██████████| 3515/3515 [32:32<00:00,  2.08it/s]403-128339-0009 Failed!!!
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/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [32:32<00:00,  1.80it/s]
dev loss: 3.649561882019043
dev per: 0.9156139438085328
train loss: 3.5186429023742676
train per: 0.9153088153402901
train loss: 3.667125701904297
train per: 0.9252225067829704
train loss: 3.6496682167053223
train per: 0.9139142842044073
train loss: 3.7653861045837402
train per: 0.895937507774212
train loss: 4.141936302185059
train per: 0.8857135787806809
train loss: 3.7482070922851562
train per: 0.9001088929219601
train loss: 3.67327880859375
train per: 0.935540513029316
train loss: 3.554622173309326
train per: 0.9045201775419621
train loss: 3.6638782024383545
train per: 0.9405534224811333
train loss: 3.546110153198242
train per: 0.9172091799829026
train loss: 3.4723517894744873
train per: 0.9211166331817702
train loss: 3.4580464363098145
train per: 0.9138770464922681
train loss: 3.390881299972534
train per: 0.9103715898400753
train loss: 3.371072292327881
train per: 0.9196634730221078
train loss: 3.417102813720703
train per: 0.887505073051948
train loss: 3.734825611114502
train per: 0.8997651378128121
train loss: 3.971574068069458
train per: 0.9024938042131351
train loss: 3.7243869304656982
train per: 0.8987141628107053
train loss: 3.549236297607422
train per: 0.8731527678783559
train loss: 3.590399980545044
train per: 0.9075853466993117
train loss: 3.4734344482421875
train per: 0.9095202642966823
train loss: 3.473107099533081
train per: 0.9286294950267788
train loss: 3.3826003074645996
train per: 0.9113356321284753
train loss: 3.4073405265808105
train per: 0.9002614867388868
train loss: 3.5149025917053223
train per: 0.9089390386869871
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 385/3515 [00:00<00:00, 3849.62it/s]

word -> phonemes:  23%|██▎       | 799/3515 [00:00<00:00, 4017.24it/s]

word -> phonemes:  35%|███▍      | 1221/3515 [00:00<00:00, 4107.21it/s]

word -> phonemes:  47%|████▋     | 1644/3515 [00:00<00:00, 4153.19it/s]

word -> phonemes:  59%|█████▊    | 2060/3515 [00:00<00:00, 4127.57it/s]

word -> phonemes:  70%|███████   | 2473/3515 [00:00<00:00, 4074.69it/s]

word -> phonemes:  82%|████████▏ | 2886/3515 [00:00<00:00, 4089.28it/s]

word -> phonemes:  94%|█████████▍| 3296/3515 [00:00<00:00, 4069.77it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4067.69it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [32:37<11:46,  1.46s/it]

train:   0%|          | 1/3515 [00:01<1:41:21,  1.73s/it]
overall:  88%|████████▊ | 3517/4000 [32:38<08:39,  1.08s/it]

train:   0%|          | 2/3515 [00:01<47:53,  1.22it/s]  
overall:  88%|████████▊ | 3518/4000 [32:38<07:04,  1.14it/s]

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overall:  88%|████████▊ | 3519/4000 [32:39<06:08,  1.31it/s]

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overall:  88%|████████▊ | 3520/4000 [32:39<05:14,  1.53it/s]

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overall:  88%|████████▊ | 3521/4000 [32:39<04:32,  1.76it/s]

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overall:  88%|████████▊ | 3522/4000 [32:39<03:34,  2.22it/s]

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overall:  88%|████████▊ | 3523/4000 [32:40<03:45,  2.12it/s]

train:   0%|          | 8/3515 [00:04<24:31,  2.38it/s]
overall:  88%|████████▊ | 3524/4000 [32:41<04:09,  1.91it/s]

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overall:  88%|████████▊ | 3525/4000 [32:41<03:46,  2.10it/s]

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overall:  88%|████████▊ | 3526/4000 [32:41<03:02,  2.59it/s]

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overall:  88%|████████▊ | 3527/4000 [32:42<03:18,  2.38it/s]

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overall:  88%|████████▊ | 3528/4000 [32:42<02:59,  2.63it/s]

train:   0%|          | 13/3515 [00:06<21:36,  2.70it/s]
overall:  88%|████████▊ | 3529/4000 [32:42<03:16,  2.40it/s]

train:   0%|          | 14/3515 [00:06<23:57,  2.44it/s]
overall:  88%|████████▊ | 3530/4000 [32:43<03:13,  2.43it/s]

train:   0%|          | 15/3515 [00:07<23:42,  2.46it/s]
overall:  88%|████████▊ | 3531/4000 [32:43<03:16,  2.39it/s]

train:   0%|          | 16/3515 [00:07<24:15,  2.40it/s]
overall:  88%|████████▊ | 3532/4000 [32:44<03:26,  2.27it/s]

train:   0%|          | 17/3515 [00:08<25:34,  2.28it/s]
overall:  88%|████████▊ | 3533/4000 [32:44<03:19,  2.35it/s]

train:   1%|          | 18/3515 [00:08<24:45,  2.35it/s]
overall:  88%|████████▊ | 3534/4000 [32:45<03:28,  2.23it/s]

train:   1%|          | 19/3515 [00:08<26:03,  2.24it/s]
overall:  88%|████████▊ | 3535/4000 [32:45<03:36,  2.15it/s]

train:   1%|          | 20/3515 [00:09<27:03,  2.15it/s]
overall:  88%|████████▊ | 3536/4000 [32:46<03:54,  1.98it/s]

train:   1%|          | 21/3515 [00:10<29:24,  1.98it/s]
overall:  88%|████████▊ | 3537/4000 [32:46<03:08,  2.46it/s]

train:   1%|          | 22/3515 [00:10<23:37,  2.46it/s]
overall:  88%|████████▊ | 3538/4000 [32:46<03:17,  2.34it/s]

train:   1%|          | 23/3515 [00:10<24:48,  2.35it/s]
overall:  88%|████████▊ | 3539/4000 [32:47<03:26,  2.24it/s]

train:   1%|          | 24/3515 [00:11<26:00,  2.24it/s]
overall:  88%|████████▊ | 3540/4000 [32:47<03:33,  2.15it/s]

train:   1%|          | 25/3515 [00:11<27:02,  2.15it/s]
overall:  89%|████████▊ | 3541/4000 [32:48<03:38,  2.10it/s]

train:   1%|          | 26/3515 [00:12<27:43,  2.10it/s]
overall:  89%|████████▊ | 3542/4000 [32:48<03:37,  2.11it/s]

train:   1%|          | 27/3515 [00:12<27:36,  2.11it/s]
overall:  89%|████████▊ | 3543/4000 [32:49<02:56,  2.58it/s]

train:   1%|          | 28/3515 [00:12<22:30,  2.58it/s]
overall:  89%|████████▊ | 3544/4000 [32:49<03:10,  2.40it/s]

train:   1%|          | 29/3515 [00:13<24:14,  2.40it/s]
overall:  89%|████████▊ | 3545/4000 [32:49<02:36,  2.90it/s]

train:   1%|          | 30/3515 [00:13<20:00,  2.90it/s]
overall:  89%|████████▊ | 3546/4000 [32:50<02:59,  2.54it/s]

train:   1%|          | 31/3515 [00:14<22:54,  2.54it/s]
overall:  89%|████████▊ | 3547/4000 [32:50<03:16,  2.31it/s]

train:   1%|          | 32/3515 [00:14<25:09,  2.31it/s]
overall:  89%|████████▊ | 3548/4000 [32:51<03:41,  2.04it/s]

train:   1%|          | 33/3515 [00:15<28:25,  2.04it/s]
overall:  89%|████████▊ | 3549/4000 [32:51<03:39,  2.05it/s]

train:   1%|          | 34/3515 [00:15<28:15,  2.05it/s]
overall:  89%|████████▉ | 3550/4000 [32:52<03:29,  2.14it/s]

train:   1%|          | 35/3515 [00:16<27:02,  2.14it/s]
overall:  89%|████████▉ | 3551/4000 [32:52<03:33,  2.10it/s]

train:   1%|          | 36/3515 [00:16<27:35,  2.10it/s]
overall:  89%|████████▉ | 3552/4000 [32:53<03:34,  2.09it/s]

train:   1%|          | 37/3515 [00:17<27:47,  2.09it/s]
overall:  89%|████████▉ | 3553/4000 [32:53<03:36,  2.06it/s]

train:   1%|          | 38/3515 [00:17<28:06,  2.06it/s]
overall:  89%|████████▉ | 3554/4000 [32:54<03:37,  2.05it/s]

train:   1%|          | 39/3515 [00:18<28:18,  2.05it/s]
overall:  89%|████████▉ | 3555/4000 [32:54<02:56,  2.53it/s]

train:   1%|          | 40/3515 [00:18<22:55,  2.53it/s]
overall:  89%|████████▉ | 3556/4000 [32:54<03:05,  2.39it/s]

train:   1%|          | 41/3515 [00:18<24:10,  2.39it/s]
overall:  89%|████████▉ | 3557/4000 [32:55<03:13,  2.29it/s]

train:   1%|          | 42/3515 [00:19<25:14,  2.29it/s]
overall:  89%|████████▉ | 3558/4000 [32:55<03:18,  2.23it/s]

train:   1%|          | 43/3515 [00:19<25:57,  2.23it/s]
overall:  89%|████████▉ | 3559/4000 [32:56<02:52,  2.56it/s]

train:   1%|▏         | 44/3515 [00:19<22:38,  2.55it/s]
overall:  89%|████████▉ | 3560/4000 [32:56<03:17,  2.23it/s]

train:   1%|▏         | 45/3515 [00:20<25:58,  2.23it/s]
overall:  89%|████████▉ | 3561/4000 [32:57<03:22,  2.17it/s]

train:   1%|▏         | 46/3515 [00:21<26:40,  2.17it/s]
overall:  89%|████████▉ | 3562/4000 [32:57<03:26,  2.12it/s]

train:   1%|▏         | 47/3515 [00:21<27:15,  2.12it/s]
overall:  89%|████████▉ | 3563/4000 [32:57<02:59,  2.43it/s]

train:   1%|▏         | 48/3515 [00:21<23:44,  2.43it/s]
overall:  89%|████████▉ | 3564/4000 [32:58<03:19,  2.18it/s]

train:   1%|▏         | 49/3515 [00:22<26:26,  2.18it/s]
overall:  89%|████████▉ | 3565/4000 [32:58<02:50,  2.56it/s]

train:   1%|▏         | 50/3515 [00:22<22:34,  2.56it/s]
overall:  89%|████████▉ | 3566/4000 [32:59<03:01,  2.39it/s]

train:   1%|▏         | 51/3515 [00:23<24:12,  2.39it/s]
overall:  89%|████████▉ | 3567/4000 [32:59<03:04,  2.35it/s]

train:   1%|▏         | 52/3515 [00:23<24:32,  2.35it/s]
overall:  89%|████████▉ | 3568/4000 [32:59<02:30,  2.87it/s]

train:   2%|▏         | 53/3515 [00:23<20:07,  2.87it/s]
overall:  89%|████████▉ | 3569/4000 [33:00<02:47,  2.58it/s]

train:   2%|▏         | 54/3515 [00:24<22:22,  2.58it/s]
overall:  89%|████████▉ | 3570/4000 [33:00<02:57,  2.43it/s]

train:   2%|▏         | 55/3515 [00:24<23:44,  2.43it/s]
overall:  89%|████████▉ | 3571/4000 [33:01<03:08,  2.28it/s]

train:   2%|▏         | 56/3515 [00:25<25:15,  2.28it/s]
overall:  89%|████████▉ | 3572/4000 [33:01<03:28,  2.05it/s]

train:   2%|▏         | 57/3515 [00:25<28:05,  2.05it/s]
overall:  89%|████████▉ | 3573/4000 [33:02<03:26,  2.07it/s]

train:   2%|▏         | 58/3515 [00:26<27:50,  2.07it/s]
overall:  89%|████████▉ | 3574/4000 [33:02<03:26,  2.07it/s]

train:   2%|▏         | 59/3515 [00:26<27:52,  2.07it/s]
overall:  89%|████████▉ | 3575/4000 [33:03<03:24,  2.07it/s]

train:   2%|▏         | 60/3515 [00:27<27:46,  2.07it/s]
overall:  89%|████████▉ | 3576/4000 [33:03<03:30,  2.01it/s]

train:   2%|▏         | 61/3515 [00:27<28:36,  2.01it/s]
overall:  89%|████████▉ | 3577/4000 [33:04<03:23,  2.08it/s]

train:   2%|▏         | 62/3515 [00:28<27:37,  2.08it/s]
overall:  89%|████████▉ | 3578/4000 [33:04<03:23,  2.08it/s]

train:   2%|▏         | 63/3515 [00:28<27:42,  2.08it/s]
overall:  89%|████████▉ | 3579/4000 [33:05<03:24,  2.06it/s]

train:   2%|▏         | 64/3515 [00:29<27:57,  2.06it/s]
overall:  90%|████████▉ | 3580/4000 [33:05<03:25,  2.05it/s]

train:   2%|▏         | 65/3515 [00:29<28:04,  2.05it/s]
overall:  90%|████████▉ | 3581/4000 [33:06<03:24,  2.05it/s]

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overall:  90%|████████▉ | 3582/4000 [33:06<03:25,  2.03it/s]

train:   2%|▏         | 67/3515 [00:30<28:16,  2.03it/s]
overall:  90%|████████▉ | 3583/4000 [33:07<03:23,  2.05it/s]

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overall:  90%|████████▉ | 3584/4000 [33:07<03:01,  2.29it/s]

train:   2%|▏         | 69/3515 [00:31<25:04,  2.29it/s]
overall:  90%|████████▉ | 3586/4000 [33:08<02:32,  2.71it/s]

train:   2%|▏         | 71/3515 [00:31<21:11,  2.71it/s]
overall:  90%|████████▉ | 3587/4000 [33:08<02:42,  2.53it/s]

train:   2%|▏         | 72/3515 [00:32<22:38,  2.53it/s]
overall:  90%|████████▉ | 3588/4000 [33:09<02:58,  2.31it/s]

train:   2%|▏         | 73/3515 [00:33<24:48,  2.31it/s]
overall:  90%|████████▉ | 3589/4000 [33:09<03:05,  2.21it/s]

train:   2%|▏         | 74/3515 [00:33<25:55,  2.21it/s]
overall:  90%|████████▉ | 3590/4000 [33:10<03:09,  2.16it/s]

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overall:  90%|████████▉ | 3591/4000 [33:10<03:03,  2.23it/s]

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overall:  90%|████████▉ | 3592/4000 [33:10<02:55,  2.32it/s]

train:   2%|▏         | 77/3515 [00:34<24:42,  2.32it/s]
overall:  90%|████████▉ | 3593/4000 [33:11<03:03,  2.22it/s]

train:   2%|▏         | 78/3515 [00:35<25:51,  2.22it/s]
overall:  90%|████████▉ | 3594/4000 [33:11<03:05,  2.19it/s]

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overall:  90%|████████▉ | 3595/4000 [33:12<02:54,  2.33it/s]

train:   2%|▏         | 80/3515 [00:36<24:35,  2.33it/s]
overall:  90%|████████▉ | 3596/4000 [33:12<03:03,  2.21it/s]

train:   2%|▏         | 81/3515 [00:36<25:56,  2.21it/s]
overall:  90%|████████▉ | 3597/4000 [33:13<03:10,  2.12it/s]

train:   2%|▏         | 82/3515 [00:37<26:59,  2.12it/s]
overall:  90%|████████▉ | 3598/4000 [33:13<03:05,  2.17it/s]

train:   2%|▏         | 83/3515 [00:37<26:20,  2.17it/s]
overall:  90%|████████▉ | 3599/4000 [33:14<02:54,  2.29it/s]

train:   2%|▏         | 84/3515 [00:37<24:57,  2.29it/s]
overall:  90%|█████████ | 3600/4000 [33:14<03:10,  2.10it/s]

train:   2%|▏         | 85/3515 [00:38<27:12,  2.10it/s]
overall:  90%|█████████ | 3601/4000 [33:15<03:12,  2.07it/s]

train:   2%|▏         | 86/3515 [00:39<27:33,  2.07it/s]
overall:  90%|█████████ | 3602/4000 [33:15<03:06,  2.13it/s]

train:   2%|▏         | 87/3515 [00:39<26:50,  2.13it/s]
overall:  90%|█████████ | 3603/4000 [33:16<03:09,  2.10it/s]

train:   3%|▎         | 88/3515 [00:39<27:13,  2.10it/s]
overall:  90%|█████████ | 3604/4000 [33:16<03:09,  2.08it/s]

train:   3%|▎         | 89/3515 [00:40<27:23,  2.08it/s]
overall:  90%|█████████ | 3605/4000 [33:16<02:25,  2.72it/s]

train:   3%|▎         | 90/3515 [00:40<21:00,  2.72it/s]
overall:  90%|█████████ | 3606/4000 [33:17<02:26,  2.69it/s]

train:   3%|▎         | 91/3515 [00:40<21:12,  2.69it/s]
overall:  90%|█████████ | 3607/4000 [33:17<02:40,  2.45it/s]

train:   3%|▎         | 92/3515 [00:41<23:14,  2.45it/s]
overall:  90%|█████████ | 3608/4000 [33:18<02:47,  2.34it/s]

train:   3%|▎         | 93/3515 [00:41<24:22,  2.34it/s]
overall:  90%|█████████ | 3609/4000 [33:18<02:49,  2.31it/s]

train:   3%|▎         | 94/3515 [00:42<24:42,  2.31it/s]
overall:  90%|█████████ | 3610/4000 [33:19<02:53,  2.25it/s]

train:   3%|▎         | 95/3515 [00:42<25:19,  2.25it/s]
overall:  90%|█████████ | 3611/4000 [33:19<02:58,  2.18it/s]

train:   3%|▎         | 96/3515 [00:43<26:11,  2.18it/s]
overall:  90%|█████████ | 3612/4000 [33:20<03:06,  2.08it/s]

train:   3%|▎         | 97/3515 [00:43<27:24,  2.08it/s]
overall:  90%|█████████ | 3613/4000 [33:20<03:01,  2.13it/s]

train:   3%|▎         | 98/3515 [00:44<26:43,  2.13it/s]
overall:  90%|█████████ | 3614/4000 [33:20<03:01,  2.13it/s]

train:   3%|▎         | 99/3515 [00:44<26:46,  2.13it/s]
overall:  90%|█████████ | 3615/4000 [33:21<03:04,  2.09it/s]

train:   3%|▎         | 100/3515 [00:45<27:15,  2.09it/s]
overall:  90%|█████████ | 3616/4000 [33:21<03:06,  2.05it/s]

train:   3%|▎         | 101/3515 [00:45<27:42,  2.05it/s]
overall:  90%|█████████ | 3617/4000 [33:22<03:05,  2.07it/s]

train:   3%|▎         | 102/3515 [00:46<27:31,  2.07it/s]
overall:  90%|█████████ | 3618/4000 [33:22<03:08,  2.03it/s]

train:   3%|▎         | 103/3515 [00:46<28:00,  2.03it/s]
overall:  90%|█████████ | 3619/4000 [33:23<03:11,  1.99it/s]

train:   3%|▎         | 104/3515 [00:47<28:34,  1.99it/s]
overall:  90%|█████████ | 3620/4000 [33:24<03:23,  1.87it/s]

train:   3%|▎         | 105/3515 [00:47<30:22,  1.87it/s]
overall:  91%|█████████ | 3621/4000 [33:24<03:19,  1.90it/s]

train:   3%|▎         | 106/3515 [00:48<29:53,  1.90it/s]
overall:  91%|█████████ | 3622/4000 [33:25<03:12,  1.96it/s]

train:   3%|▎         | 107/3515 [00:48<28:55,  1.96it/s]
overall:  91%|█████████ | 3623/4000 [33:25<03:08,  2.00it/s]

train:   3%|▎         | 108/3515 [00:49<28:23,  2.00it/s]
overall:  91%|█████████ | 3624/4000 [33:26<03:16,  1.92it/s]

train:   3%|▎         | 109/3515 [00:49<29:38,  1.92it/s]
overall:  91%|█████████ | 3625/4000 [33:26<03:13,  1.93it/s]

train:   3%|▎         | 110/3515 [00:50<29:21,  1.93it/s]
overall:  91%|█████████ | 3626/4000 [33:27<03:02,  2.05it/s]

train:   3%|▎         | 111/3515 [00:50<27:39,  2.05it/s]
overall:  91%|█████████ | 3627/4000 [33:27<03:02,  2.04it/s]

train:   3%|▎         | 112/3515 [00:51<27:47,  2.04it/s]
overall:  91%|█████████ | 3628/4000 [33:27<02:28,  2.51it/s]

train:   3%|▎         | 113/3515 [00:51<22:33,  2.51it/s]
overall:  91%|█████████ | 3629/4000 [33:28<02:36,  2.37it/s]

train:   3%|▎         | 114/3515 [00:52<23:55,  2.37it/s]
overall:  91%|█████████ | 3630/4000 [33:28<02:41,  2.28it/s]

train:   3%|▎         | 115/3515 [00:52<24:48,  2.28it/s]
overall:  91%|█████████ | 3631/4000 [33:29<02:40,  2.30it/s]

train:   3%|▎         | 116/3515 [00:52<24:39,  2.30it/s]
overall:  91%|█████████ | 3632/4000 [33:29<02:56,  2.09it/s]

train:   3%|▎         | 117/3515 [00:53<27:07,  2.09it/s]
overall:  91%|█████████ | 3633/4000 [33:30<02:58,  2.06it/s]

train:   3%|▎         | 118/3515 [00:53<27:28,  2.06it/s]
overall:  91%|█████████ | 3634/4000 [33:30<02:57,  2.06it/s]

train:   3%|▎         | 119/3515 [00:54<27:26,  2.06it/s]
overall:  91%|█████████ | 3635/4000 [33:31<02:55,  2.08it/s]

train:   3%|▎         | 120/3515 [00:54<27:15,  2.08it/s]
overall:  91%|█████████ | 3636/4000 [33:31<03:00,  2.02it/s]

train:   3%|▎         | 121/3515 [00:55<28:03,  2.02it/s]
overall:  91%|█████████ | 3637/4000 [33:32<03:00,  2.01it/s]

train:   3%|▎         | 122/3515 [00:55<28:11,  2.01it/s]
overall:  91%|█████████ | 3638/4000 [33:32<02:56,  2.06it/s]

train:   3%|▎         | 123/3515 [00:56<27:30,  2.06it/s]
overall:  91%|█████████ | 3639/4000 [33:33<02:56,  2.04it/s]

train:   4%|▎         | 124/3515 [00:56<27:38,  2.04it/s]
overall:  91%|█████████ | 3640/4000 [33:33<02:55,  2.05it/s]

train:   4%|▎         | 125/3515 [00:57<27:34,  2.05it/s]
overall:  91%|█████████ | 3641/4000 [33:34<02:55,  2.05it/s]

train:   4%|▎         | 126/3515 [00:57<27:36,  2.05it/s]
overall:  91%|█████████ | 3642/4000 [33:34<02:54,  2.05it/s]

train:   4%|▎         | 127/3515 [00:58<27:34,  2.05it/s]
overall:  91%|█████████ | 3643/4000 [33:35<02:54,  2.04it/s]

train:   4%|▎         | 128/3515 [00:58<27:39,  2.04it/s]
overall:  91%|█████████ | 3644/4000 [33:35<03:00,  1.98it/s]

train:   4%|▎         | 129/3515 [00:59<28:32,  1.98it/s]
overall:  91%|█████████ | 3645/4000 [33:36<02:57,  2.00it/s]

train:   4%|▎         | 130/3515 [00:59<28:11,  2.00it/s]
overall:  91%|█████████ | 3646/4000 [33:36<02:56,  2.00it/s]

train:   4%|▎         | 131/3515 [01:00<28:10,  2.00it/s]
overall:  91%|█████████ | 3647/4000 [33:36<02:35,  2.27it/s]

train:   4%|▍         | 132/3515 [01:00<24:52,  2.27it/s]
overall:  91%|█████████ | 3648/4000 [33:37<02:25,  2.42it/s]

train:   4%|▍         | 133/3515 [01:01<23:16,  2.42it/s]
overall:  91%|█████████ | 3649/4000 [33:37<02:30,  2.34it/s]

train:   4%|▍         | 134/3515 [01:01<24:06,  2.34it/s]
overall:  91%|█████████▏| 3650/4000 [33:38<02:22,  2.46it/s]

train:   4%|▍         | 135/3515 [01:01<22:53,  2.46it/s]
overall:  91%|█████████▏| 3651/4000 [33:38<02:07,  2.73it/s]

train:   4%|▍         | 136/3515 [01:02<20:36,  2.73it/s]
overall:  91%|█████████▏| 3652/4000 [33:38<02:18,  2.52it/s]

train:   4%|▍         | 137/3515 [01:02<22:22,  2.52it/s]
overall:  91%|█████████▏| 3653/4000 [33:39<02:29,  2.32it/s]

train:   4%|▍         | 138/3515 [01:03<24:16,  2.32it/s]
overall:  91%|█████████▏| 3655/4000 [33:39<02:07,  2.70it/s]

train:   4%|▍         | 140/3515 [01:03<20:51,  2.70it/s]
overall:  91%|█████████▏| 3656/4000 [33:40<02:28,  2.32it/s]

train:   4%|▍         | 141/3515 [01:04<24:13,  2.32it/s]
overall:  91%|█████████▏| 3657/4000 [33:41<02:34,  2.22it/s]

train:   4%|▍         | 142/3515 [01:04<25:19,  2.22it/s]
overall:  91%|█████████▏| 3658/4000 [33:41<02:35,  2.20it/s]

train:   4%|▍         | 143/3515 [01:05<25:36,  2.20it/s]
overall:  91%|█████████▏| 3659/4000 [33:41<02:36,  2.19it/s]

train:   4%|▍         | 144/3515 [01:05<25:42,  2.19it/s]
overall:  92%|█████████▏| 3660/4000 [33:42<02:39,  2.13it/s]

train:   4%|▍         | 145/3515 [01:06<26:22,  2.13it/s]
overall:  92%|█████████▏| 3661/4000 [33:42<02:39,  2.13it/s]

train:   4%|▍         | 146/3515 [01:06<26:23,  2.13it/s]
overall:  92%|█████████▏| 3662/4000 [33:43<02:39,  2.12it/s]

train:   4%|▍         | 147/3515 [01:07<26:28,  2.12it/s]
overall:  92%|█████████▏| 3663/4000 [33:43<02:05,  2.69it/s]

train:   4%|▍         | 148/3515 [01:07<20:50,  2.69it/s]
overall:  92%|█████████▏| 3664/4000 [33:44<02:18,  2.43it/s]

train:   4%|▍         | 149/3515 [01:07<23:06,  2.43it/s]
overall:  92%|█████████▏| 3665/4000 [33:44<02:25,  2.30it/s]

train:   4%|▍         | 150/3515 [01:08<24:21,  2.30it/s]
overall:  92%|█████████▏| 3666/4000 [33:45<02:30,  2.22it/s]

train:   4%|▍         | 151/3515 [01:08<25:12,  2.22it/s]
overall:  92%|█████████▏| 3667/4000 [33:45<02:02,  2.72it/s]

train:   4%|▍         | 152/3515 [01:09<20:36,  2.72it/s]
overall:  92%|█████████▏| 3668/4000 [33:45<01:43,  3.21it/s]

train:   4%|▍         | 153/3515 [01:09<17:26,  3.21it/s]
overall:  92%|█████████▏| 3669/4000 [33:45<01:58,  2.79it/s]

train:   4%|▍         | 154/3515 [01:09<20:05,  2.79it/s]
overall:  92%|█████████▏| 3670/4000 [33:46<02:12,  2.49it/s]

train:   4%|▍         | 155/3515 [01:10<22:31,  2.49it/s]
overall:  92%|█████████▏| 3671/4000 [33:46<02:20,  2.34it/s]

train:   4%|▍         | 156/3515 [01:10<23:52,  2.34it/s]
overall:  92%|█████████▏| 3672/4000 [33:47<02:30,  2.18it/s]

train:   4%|▍         | 157/3515 [01:11<25:42,  2.18it/s]
overall:  92%|█████████▏| 3673/4000 [33:47<01:57,  2.79it/s]

train:   4%|▍         | 158/3515 [01:11<20:04,  2.79it/s]
overall:  92%|█████████▏| 3674/4000 [33:47<02:09,  2.52it/s]

train:   5%|▍         | 159/3515 [01:11<22:09,  2.52it/s]
overall:  92%|█████████▏| 3675/4000 [33:48<02:18,  2.35it/s]

train:   5%|▍         | 160/3515 [01:12<23:47,  2.35it/s]
overall:  92%|█████████▏| 3676/4000 [33:48<02:23,  2.26it/s]

train:   5%|▍         | 161/3515 [01:12<24:40,  2.26it/s]
overall:  92%|█████████▏| 3677/4000 [33:49<02:22,  2.27it/s]

train:   5%|▍         | 162/3515 [01:13<24:36,  2.27it/s]
overall:  92%|█████████▏| 3678/4000 [33:49<02:25,  2.21it/s]

train:   5%|▍         | 163/3515 [01:13<25:17,  2.21it/s]
overall:  92%|█████████▏| 3679/4000 [33:50<02:29,  2.15it/s]

train:   5%|▍         | 164/3515 [01:14<26:00,  2.15it/s]
overall:  92%|█████████▏| 3680/4000 [33:50<02:39,  2.01it/s]

train:   5%|▍         | 165/3515 [01:14<27:46,  2.01it/s]
overall:  92%|█████████▏| 3681/4000 [33:51<02:40,  1.99it/s]

train:   5%|▍         | 166/3515 [01:15<28:04,  1.99it/s]
overall:  92%|█████████▏| 3682/4000 [33:51<02:08,  2.48it/s]

train:   5%|▍         | 167/3515 [01:15<22:32,  2.48it/s]
overall:  92%|█████████▏| 3683/4000 [33:52<02:14,  2.36it/s]

train:   5%|▍         | 168/3515 [01:15<23:38,  2.36it/s]
overall:  92%|█████████▏| 3684/4000 [33:52<02:23,  2.20it/s]

train:   5%|▍         | 169/3515 [01:16<25:23,  2.20it/s]
overall:  92%|█████████▏| 3685/4000 [33:53<02:21,  2.22it/s]

train:   5%|▍         | 170/3515 [01:16<25:04,  2.22it/s]
overall:  92%|█████████▏| 3686/4000 [33:53<02:22,  2.20it/s]

train:   5%|▍         | 171/3515 [01:17<25:21,  2.20it/s]
overall:  92%|█████████▏| 3687/4000 [33:53<02:13,  2.35it/s]

train:   5%|▍         | 172/3515 [01:17<23:44,  2.35it/s]
overall:  92%|█████████▏| 3688/4000 [33:54<02:12,  2.36it/s]

train:   5%|▍         | 173/3515 [01:18<23:38,  2.36it/s]
overall:  92%|█████████▏| 3689/4000 [33:54<02:17,  2.25it/s]

train:   5%|▍         | 174/3515 [01:18<24:42,  2.25it/s]
overall:  92%|█████████▏| 3690/4000 [33:55<02:22,  2.17it/s]

train:   5%|▍         | 175/3515 [01:19<25:36,  2.17it/s]
overall:  92%|█████████▏| 3691/4000 [33:55<02:27,  2.09it/s]

train:   5%|▌         | 176/3515 [01:19<26:35,  2.09it/s]
overall:  92%|█████████▏| 3692/4000 [33:56<02:35,  1.98it/s]

train:   5%|▌         | 177/3515 [01:20<28:10,  1.98it/s]
overall:  92%|█████████▏| 3693/4000 [33:56<02:34,  1.98it/s]

train:   5%|▌         | 178/3515 [01:20<28:02,  1.98it/s]
overall:  92%|█████████▏| 3694/4000 [33:57<02:33,  1.99it/s]

train:   5%|▌         | 179/3515 [01:21<27:57,  1.99it/s]
overall:  92%|█████████▏| 3695/4000 [33:57<02:12,  2.31it/s]

train:   5%|▌         | 180/3515 [01:21<24:05,  2.31it/s]
overall:  92%|█████████▏| 3696/4000 [33:58<02:11,  2.32it/s]

train:   5%|▌         | 181/3515 [01:21<23:57,  2.32it/s]
overall:  92%|█████████▏| 3697/4000 [33:58<01:41,  2.97it/s]

train:   5%|▌         | 182/3515 [01:22<18:40,  2.97it/s]
overall:  92%|█████████▏| 3698/4000 [33:58<01:55,  2.60it/s]

train:   5%|▌         | 183/3515 [01:22<21:19,  2.60it/s]
overall:  92%|█████████▏| 3699/4000 [33:59<02:04,  2.42it/s]

train:   5%|▌         | 184/3515 [01:23<22:58,  2.42it/s]
overall:  92%|█████████▎| 3700/4000 [33:59<02:06,  2.38it/s]

train:   5%|▌         | 185/3515 [01:23<23:21,  2.38it/s]
overall:  93%|█████████▎| 3701/4000 [34:00<02:12,  2.26it/s]

train:   5%|▌         | 186/3515 [01:23<24:31,  2.26it/s]
overall:  93%|█████████▎| 3702/4000 [34:00<02:06,  2.36it/s]

train:   5%|▌         | 187/3515 [01:24<23:31,  2.36it/s]
overall:  93%|█████████▎| 3703/4000 [34:01<02:14,  2.21it/s]

train:   5%|▌         | 188/3515 [01:24<25:05,  2.21it/s]
overall:  93%|█████████▎| 3704/4000 [34:01<02:22,  2.07it/s]

train:   5%|▌         | 189/3515 [01:25<26:43,  2.07it/s]
overall:  93%|█████████▎| 3705/4000 [34:01<02:14,  2.19it/s]

train:   5%|▌         | 190/3515 [01:25<25:18,  2.19it/s]
overall:  93%|█████████▎| 3706/4000 [34:02<02:18,  2.13it/s]

train:   5%|▌         | 191/3515 [01:26<26:01,  2.13it/s]
overall:  93%|█████████▎| 3707/4000 [34:02<01:55,  2.53it/s]

train:   5%|▌         | 192/3515 [01:26<21:53,  2.53it/s]
overall:  93%|█████████▎| 3708/4000 [34:03<02:01,  2.40it/s]

train:   5%|▌         | 193/3515 [01:26<23:06,  2.40it/s]
overall:  93%|█████████▎| 3709/4000 [34:03<02:00,  2.41it/s]

train:   6%|▌         | 194/3515 [01:27<23:00,  2.41it/s]
overall:  93%|█████████▎| 3710/4000 [34:03<01:50,  2.62it/s]

train:   6%|▌         | 195/3515 [01:27<21:08,  2.62it/s]
overall:  93%|█████████▎| 3711/4000 [34:04<01:58,  2.44it/s]

train:   6%|▌         | 196/3515 [01:28<22:42,  2.44it/s]
overall:  93%|█████████▎| 3712/4000 [34:04<02:04,  2.32it/s]

train:   6%|▌         | 197/3515 [01:28<23:51,  2.32it/s]
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overall: 100%|█████████▉| 3999/4000 [36:17<00:00,  2.27it/s]

train:  14%|█▍        | 484/3515 [03:41<22:17,  2.27it/s]train loss: 3.369884490966797
train per: 0.904616883907906
train loss: 3.43572998046875
train per: 0.9259776943012725
train loss: 3.361171007156372
train per: 0.9103938090268054
train loss: 3.380931854248047
train per: 0.9167375886524822
train loss: 3.3779091835021973
train per: 0.9329056469812612
train loss: 3.3419222831726074
train per: 0.9314280043663788
train loss: 3.2786388397216797
train per: 0.9250946643717728
train loss: 3.343703508377075
train per: 0.9163561182296187
train loss: 3.364161729812622
train per: 0.9118860811086203
train loss: 3.3144264221191406
train per: 0.911869482162218
train loss: 3.2800049781799316
train per: 0.9097889175190651
train loss: 3.2422916889190674
train per: 0.9149263721552878
train loss: 3.2606425285339355
train per: 0.8987271581600504
train loss: 3.312434434890747
train per: 0.9013286695032499
train loss: 3.3183555603027344
train per: 0.899802020929216
train loss: 3.268850326538086
train per: 0.9081422804478635
train loss: 3.263274669647217
train per: 0.9084527855770652
train loss: 3.276022434234619
train per: 0.9117744925607263
train loss: 3.2560908794403076
train per: 0.9060048354467855
train loss: 3.2225680351257324
train per: 0.8999649491763057
train loss: 3.3140931129455566
train per: 0.9117317867317868
train loss: 3.2206273078918457
train per: 0.9116258548422678
train loss: 3.2564282417297363
train per: 0.9115607349681848
train loss: 3.2805352210998535
train per: 0.9118605329702393
train loss: 3.2523281574249268
train per: 0.8950066874721355
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  14%|█▎        | 366/2703 [00:00<00:00, 3657.00it/s]


word -> phonemes:  27%|██▋       | 732/2703 [00:00<00:00, 3230.08it/s]


word -> phonemes:  40%|████      | 1091/2703 [00:00<00:00, 3382.72it/s]


word -> phonemes:  56%|█████▌    | 1514/2703 [00:00<00:00, 3700.45it/s]


word -> phonemes:  70%|███████   | 1905/2703 [00:00<00:00, 3773.63it/s]


word -> phonemes:  85%|████████▍ | 2295/2703 [00:00<00:00, 3815.20it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 3745.96it/s]



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overall: 100%|█████████▉| 3999/4000 [37:55<00:00,  2.27it/s]

train:  14%|█▍        | 484/3515 [05:19<22:17,  2.27it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [37:55<00:00,  2.27it/s]

train:  14%|█▍        | 484/3515 [05:19<22:17,  2.27it/s]
overall: 100%|██████████| 4000/4000 [37:55<00:00, 29.54s/it]

train:  14%|█▍        | 485/3515 [05:19<24:51:49, 29.54s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [05:19<33:15,  1.52it/s]   

overall: 100%|██████████| 4000/4000 [37:55<00:00,  1.76it/s]
dev loss: 3.4552724361419678
dev per: 0.9099947970863683
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt