/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
Some weights of the model checkpoint at m-a-p/MERT-v1-95M 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.original1', 'encoder.pos_conv_embed.conv.parametrizations.weight.original0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
m-a-p/MERT-v1-95M {'model_config': None, 'refresh': False}

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


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

word -> phonemes:  12%|█▏        | 428/3515 [00:00<00:00, 4275.10it/s]

word -> phonemes:  24%|██▍       | 856/3515 [00:00<00:00, 4088.63it/s]

word -> phonemes:  36%|███▋      | 1276/3515 [00:00<00:00, 4137.84it/s]

word -> phonemes:  51%|█████     | 1780/3515 [00:00<00:00, 4485.75it/s]

word -> phonemes:  65%|██████▍   | 2279/3515 [00:00<00:00, 4665.24it/s]

word -> phonemes:  78%|███████▊  | 2747/3515 [00:00<00:00, 4360.28it/s]

word -> phonemes:  91%|█████████ | 3187/3515 [00:00<00:00, 4054.89it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4256.76it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:03<3:41:28,  3.32s/it]

train:   0%|          | 1/3515 [00:01<1:18:10,  1.33s/it]
overall:   0%|          | 2/4000 [00:04<2:00:38,  1.81s/it]

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overall:   0%|          | 3/4000 [00:04<1:21:02,  1.22s/it]

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overall:   0%|          | 5/4000 [00:05<52:15,  1.27it/s]  

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overall:   0%|          | 6/4000 [00:05<43:03,  1.55it/s]

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overall:   0%|          | 7/4000 [00:06<39:18,  1.69it/s]

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overall:   0%|          | 8/4000 [00:06<36:13,  1.84it/s]

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overall:   0%|          | 9/4000 [00:07<34:54,  1.91it/s]

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overall:   0%|          | 10/4000 [00:07<33:55,  1.96it/s]

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overall:   0%|          | 11/4000 [00:08<33:57,  1.96it/s]

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overall:   0%|          | 12/4000 [00:08<33:52,  1.96it/s]

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overall:   0%|          | 15/4000 [00:10<27:31,  2.41it/s]

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overall:   0%|          | 16/4000 [00:10<29:55,  2.22it/s]

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overall:   0%|          | 17/4000 [00:11<30:23,  2.18it/s]

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overall:   0%|          | 18/4000 [00:11<31:16,  2.12it/s]

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overall:   0%|          | 20/4000 [00:12<27:10,  2.44it/s]

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overall:   1%|          | 21/4000 [00:12<27:01,  2.45it/s]

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overall:   1%|          | 22/4000 [00:12<24:55,  2.66it/s]

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overall:   1%|          | 23/4000 [00:13<27:49,  2.38it/s]

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overall:   1%|          | 24/4000 [00:13<22:09,  2.99it/s]

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overall:   1%|          | 25/4000 [00:13<17:33,  3.77it/s]

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overall:   1%|          | 26/4000 [00:14<24:48,  2.67it/s]

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overall:   1%|          | 28/4000 [00:15<30:03,  2.20it/s]

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overall:   1%|          | 29/4000 [00:15<29:39,  2.23it/s]

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overall:   1%|          | 30/4000 [00:16<30:19,  2.18it/s]

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overall:   1%|          | 31/4000 [00:16<26:49,  2.47it/s]

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overall:   1%|          | 32/4000 [00:17<28:56,  2.29it/s]

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overall:   1%|          | 33/4000 [00:17<34:01,  1.94it/s]

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overall:   1%|          | 36/4000 [00:19<28:21,  2.33it/s]

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overall:   1%|          | 37/4000 [00:19<29:34,  2.23it/s]

train:   1%|          | 37/3515 [00:17<25:57,  2.23it/s]
overall:   1%|          | 38/4000 [00:20<30:22,  2.17it/s]

train:   1%|          | 38/3515 [00:18<26:39,  2.17it/s]
overall:   1%|          | 39/4000 [00:20<30:36,  2.16it/s]

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overall:   1%|          | 40/4000 [00:20<30:22,  2.17it/s]

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overall:   1%|          | 41/4000 [00:21<30:35,  2.16it/s]

train:   1%|          | 41/3515 [00:19<26:51,  2.16it/s]
overall:   1%|          | 43/4000 [00:21<24:16,  2.72it/s]

train:   1%|          | 43/3515 [00:19<21:17,  2.72it/s]
overall:   1%|          | 44/4000 [00:22<25:56,  2.54it/s]

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overall:   1%|          | 45/4000 [00:22<25:29,  2.59it/s]

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overall:   1%|          | 46/4000 [00:23<27:21,  2.41it/s]

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overall:   1%|          | 47/4000 [00:23<28:27,  2.32it/s]

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overall:   1%|          | 48/4000 [00:24<29:01,  2.27it/s]

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overall:   1%|          | 49/4000 [00:24<29:58,  2.20it/s]

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overall:   1%|▏         | 50/4000 [00:25<35:10,  1.87it/s]

train:   1%|▏         | 50/3515 [00:23<30:51,  1.87it/s]
overall:   1%|▏         | 51/4000 [00:25<33:03,  1.99it/s]

train:   1%|▏         | 51/3515 [00:23<28:59,  1.99it/s]
overall:   1%|▏         | 52/4000 [00:26<32:49,  2.00it/s]

train:   1%|▏         | 52/3515 [00:24<28:47,  2.00it/s]
overall:   1%|▏         | 53/4000 [00:26<33:01,  1.99it/s]

train:   2%|▏         | 53/3515 [00:24<28:57,  1.99it/s]
overall:   1%|▏         | 54/4000 [00:27<32:19,  2.03it/s]

train:   2%|▏         | 54/3515 [00:25<28:21,  2.03it/s]
overall:   1%|▏         | 55/4000 [00:27<29:34,  2.22it/s]

train:   2%|▏         | 55/3515 [00:25<25:56,  2.22it/s]
overall:   1%|▏         | 56/4000 [00:28<29:50,  2.20it/s]

train:   2%|▏         | 56/3515 [00:26<26:10,  2.20it/s]
overall:   1%|▏         | 57/4000 [00:28<30:22,  2.16it/s]

train:   2%|▏         | 57/3515 [00:26<26:38,  2.16it/s]
overall:   1%|▏         | 58/4000 [00:29<31:01,  2.12it/s]

train:   2%|▏         | 58/3515 [00:27<27:12,  2.12it/s]
overall:   1%|▏         | 59/4000 [00:29<31:08,  2.11it/s]

train:   2%|▏         | 59/3515 [00:27<27:18,  2.11it/s]
overall:   2%|▏         | 60/4000 [00:30<31:24,  2.09it/s]

train:   2%|▏         | 60/3515 [00:28<27:32,  2.09it/s]
overall:   2%|▏         | 61/4000 [00:30<31:19,  2.10it/s]

train:   2%|▏         | 61/3515 [00:28<27:28,  2.10it/s]
overall:   2%|▏         | 62/4000 [00:31<31:08,  2.11it/s]

train:   2%|▏         | 62/3515 [00:29<27:18,  2.11it/s]
overall:   2%|▏         | 63/4000 [00:31<31:05,  2.11it/s]

train:   2%|▏         | 63/3515 [00:29<27:15,  2.11it/s]
overall:   2%|▏         | 64/4000 [00:31<30:17,  2.17it/s]

train:   2%|▏         | 64/3515 [00:29<26:33,  2.17it/s]
overall:   2%|▏         | 65/4000 [00:32<31:02,  2.11it/s]

train:   2%|▏         | 65/3515 [00:30<27:12,  2.11it/s]
overall:   2%|▏         | 66/4000 [00:32<29:57,  2.19it/s]

train:   2%|▏         | 66/3515 [00:30<26:16,  2.19it/s]
overall:   2%|▏         | 67/4000 [00:33<29:37,  2.21it/s]

train:   2%|▏         | 67/3515 [00:31<25:58,  2.21it/s]
overall:   2%|▏         | 68/4000 [00:33<29:46,  2.20it/s]

train:   2%|▏         | 68/3515 [00:31<26:06,  2.20it/s]
overall:   2%|▏         | 69/4000 [00:34<30:21,  2.16it/s]

train:   2%|▏         | 69/3515 [00:32<26:36,  2.16it/s]
overall:   2%|▏         | 70/4000 [00:34<29:25,  2.23it/s]

train:   2%|▏         | 70/3515 [00:32<25:47,  2.23it/s]
overall:   2%|▏         | 71/4000 [00:34<23:42,  2.76it/s]

train:   2%|▏         | 71/3515 [00:32<20:47,  2.76it/s]
overall:   2%|▏         | 72/4000 [00:35<26:06,  2.51it/s]

train:   2%|▏         | 72/3515 [00:33<22:52,  2.51it/s]
overall:   2%|▏         | 73/4000 [00:35<27:42,  2.36it/s]

train:   2%|▏         | 73/3515 [00:33<24:17,  2.36it/s]
overall:   2%|▏         | 74/4000 [00:36<31:52,  2.05it/s]

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overall:   2%|▏         | 75/4000 [00:36<31:18,  2.09it/s]

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overall:   2%|▏         | 76/4000 [00:37<32:11,  2.03it/s]

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overall:   2%|▏         | 77/4000 [00:37<32:28,  2.01it/s]

train:   2%|▏         | 77/3515 [00:35<28:27,  2.01it/s]
overall:   2%|▏         | 78/4000 [00:38<26:00,  2.51it/s]

train:   2%|▏         | 78/3515 [00:36<22:47,  2.51it/s]
overall:   2%|▏         | 79/4000 [00:38<26:48,  2.44it/s]

train:   2%|▏         | 79/3515 [00:36<23:29,  2.44it/s]
overall:   2%|▏         | 80/4000 [00:39<28:52,  2.26it/s]

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overall:   2%|▏         | 87/4000 [00:42<31:18,  2.08it/s]

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overall:   2%|▏         | 88/4000 [00:42<31:15,  2.09it/s]

train:   3%|▎         | 88/3515 [00:40<27:23,  2.09it/s]
overall:   2%|▏         | 89/4000 [00:43<30:22,  2.15it/s]

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overall:   2%|▏         | 91/4000 [00:44<31:40,  2.06it/s]

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overall:   2%|▏         | 92/4000 [00:44<31:28,  2.07it/s]

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train:   4%|▍         | 152/3515 [01:11<33:26,  1.68it/s]
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train:   4%|▍         | 153/3515 [01:11<31:29,  1.78it/s]
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train:   4%|▍         | 155/3515 [01:12<29:38,  1.89it/s]
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train:   4%|▍         | 156/3515 [01:13<29:02,  1.93it/s]
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train:   4%|▍         | 157/3515 [01:13<28:27,  1.97it/s]
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train:   4%|▍         | 158/3515 [01:14<28:14,  1.98it/s]
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train:   5%|▍         | 159/3515 [01:14<28:27,  1.97it/s]
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train:   5%|▍         | 160/3515 [01:14<23:44,  2.35it/s]
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train:   5%|▍         | 164/3515 [01:16<26:22,  2.12it/s]
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train:   5%|▍         | 168/3515 [01:18<24:47,  2.25it/s]
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train:   5%|▍         | 173/3515 [01:20<22:53,  2.43it/s]
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train:   5%|▍         | 174/3515 [01:21<24:20,  2.29it/s]
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train:   5%|▍         | 175/3515 [01:21<25:36,  2.17it/s]
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train:   5%|▌         | 176/3515 [01:22<28:35,  1.95it/s]
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train:   5%|▌         | 177/3515 [01:22<28:34,  1.95it/s]
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train:   5%|▌         | 178/3515 [01:23<28:08,  1.98it/s]
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train:   5%|▌         | 179/3515 [01:23<27:45,  2.00it/s]
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train:   5%|▌         | 180/3515 [01:24<28:07,  1.98it/s]
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train:   5%|▌         | 181/3515 [01:24<27:49,  2.00it/s]
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train:   5%|▌         | 182/3515 [01:25<27:58,  1.99it/s]
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train:   5%|▌         | 184/3515 [01:26<26:30,  2.09it/s]
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train:   5%|▌         | 185/3515 [01:26<25:53,  2.14it/s]
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train:   5%|▌         | 186/3515 [01:27<26:06,  2.12it/s]
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train:   5%|▌         | 187/3515 [01:27<24:36,  2.25it/s]
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train:   6%|▋         | 224/3515 [01:45<32:30,  1.69it/s]
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overall:   7%|▋         | 268/4000 [02:08<29:02,  2.14it/s]

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overall:   7%|▋         | 269/4000 [02:08<27:32,  2.26it/s]

train:   8%|▊         | 269/3515 [02:06<23:57,  2.26it/s]
overall:   7%|▋         | 270/4000 [02:08<27:34,  2.25it/s]

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train:   8%|▊         | 273/3515 [02:08<30:32,  1.77it/s]
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train:   8%|▊         | 274/3515 [02:09<29:17,  1.84it/s]
overall:   7%|▋         | 275/4000 [02:11<33:00,  1.88it/s]

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overall:   7%|▋         | 276/4000 [02:12<32:27,  1.91it/s]

train:   8%|▊         | 276/3515 [02:10<28:14,  1.91it/s]
overall:   7%|▋         | 277/4000 [02:12<31:10,  1.99it/s]

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overall:   7%|▋         | 278/4000 [02:13<30:01,  2.07it/s]

train:   8%|▊         | 278/3515 [02:11<26:06,  2.07it/s]
overall:   7%|▋         | 279/4000 [02:13<30:19,  2.05it/s]

train:   8%|▊         | 279/3515 [02:11<26:22,  2.05it/s]
overall:   7%|▋         | 280/4000 [02:14<30:56,  2.00it/s]

train:   8%|▊         | 280/3515 [02:12<26:54,  2.00it/s]
overall:   7%|▋         | 281/4000 [02:14<31:00,  2.00it/s]

train:   8%|▊         | 281/3515 [02:12<26:57,  2.00it/s]
overall:   7%|▋         | 282/4000 [02:15<30:11,  2.05it/s]

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overall:   7%|▋         | 283/4000 [02:15<26:45,  2.32it/s]

train:   8%|▊         | 283/3515 [02:13<23:15,  2.32it/s]
overall:   7%|▋         | 284/4000 [02:15<28:08,  2.20it/s]

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overall:   7%|▋         | 285/4000 [02:16<29:07,  2.13it/s]

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overall:   7%|▋         | 287/4000 [02:17<28:26,  2.18it/s]

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overall:   7%|▋         | 288/4000 [02:17<27:46,  2.23it/s]

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overall:   7%|▋         | 289/4000 [02:18<28:35,  2.16it/s]

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overall:  12%|█▏        | 483/4000 [03:50<26:31,  2.21it/s]

train:  14%|█▎        | 483/3515 [03:48<22:51,  2.21it/s]
overall:  12%|█▏        | 484/4000 [03:50<21:32,  2.72it/s]

train:  14%|█▍        | 484/3515 [03:48<18:34,  2.72it/s]
overall:  12%|█▏        | 485/4000 [03:50<23:55,  2.45it/s]

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overall:  12%|█▏        | 486/4000 [03:51<25:16,  2.32it/s]

train:  14%|█▍        | 486/3515 [03:49<21:47,  2.32it/s]
overall:  12%|█▏        | 487/4000 [03:51<26:19,  2.22it/s]

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overall:  12%|█▏        | 488/4000 [03:52<33:15,  1.76it/s]

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overall:  12%|█▏        | 489/4000 [03:53<32:08,  1.82it/s]

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overall:  12%|█▏        | 490/4000 [03:53<30:03,  1.95it/s]

train:  14%|█▍        | 490/3515 [03:51<25:54,  1.95it/s]
overall:  12%|█▏        | 491/4000 [03:53<25:47,  2.27it/s]

train:  14%|█▍        | 491/3515 [03:51<22:13,  2.27it/s]
overall:  12%|█▏        | 492/4000 [03:54<20:46,  2.82it/s]

train:  14%|█▍        | 492/3515 [03:52<17:53,  2.82it/s]
overall:  12%|█▏        | 493/4000 [03:54<23:01,  2.54it/s]

train:  14%|█▍        | 493/3515 [03:52<19:50,  2.54it/s]
overall:  12%|█▏        | 494/4000 [03:55<24:36,  2.37it/s]

train:  14%|█▍        | 494/3515 [03:53<21:12,  2.37it/s]
overall:  12%|█▏        | 495/4000 [03:55<25:43,  2.27it/s]

train:  14%|█▍        | 495/3515 [03:53<22:09,  2.27it/s]
overall:  12%|█▏        | 496/4000 [03:56<26:45,  2.18it/s]

train:  14%|█▍        | 496/3515 [03:54<23:02,  2.18it/s]
overall:  12%|█▏        | 497/4000 [03:56<25:08,  2.32it/s]

train:  14%|█▍        | 497/3515 [03:54<21:39,  2.32it/s]
overall:  12%|█▏        | 498/4000 [03:56<26:07,  2.23it/s]

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overall:  12%|█▏        | 499/4000 [03:57<22:15,  2.62it/s]

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overall:  12%|█▎        | 500/4000 [03:57<24:04,  2.42it/s]

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overall:  13%|█▎        | 501/4000 [03:58<25:20,  2.30it/s]

train:  14%|█▍        | 501/3515 [03:56<21:49,  2.30it/s]
overall:  13%|█▎        | 502/4000 [03:58<25:25,  2.29it/s]

train:  14%|█▍        | 502/3515 [03:56<21:54,  2.29it/s]
overall:  13%|█▎        | 503/4000 [03:59<25:34,  2.28it/s]

train:  14%|█▍        | 503/3515 [03:57<22:01,  2.28it/s]
overall:  13%|█▎        | 504/4000 [03:59<26:15,  2.22it/s]

train:  14%|█▍        | 504/3515 [03:57<22:36,  2.22it/s]
overall:  13%|█▎        | 505/4000 [03:59<26:50,  2.17it/s]

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overall:  13%|█▎        | 506/4000 [04:00<24:05,  2.42it/s]

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overall:  13%|█▎        | 507/4000 [04:00<24:35,  2.37it/s]

train:  14%|█▍        | 507/3515 [03:58<21:10,  2.37it/s]
overall:  13%|█▎        | 508/4000 [04:01<25:59,  2.24it/s]

train:  14%|█▍        | 508/3515 [03:59<22:23,  2.24it/s]
overall:  13%|█▎        | 509/4000 [04:01<27:08,  2.14it/s]

train:  14%|█▍        | 509/3515 [03:59<23:22,  2.14it/s]
overall:  13%|█▎        | 510/4000 [04:02<27:29,  2.12it/s]

train:  15%|█▍        | 510/3515 [04:00<23:40,  2.12it/s]
overall:  13%|█▎        | 511/4000 [04:02<27:56,  2.08it/s]

train:  15%|█▍        | 511/3515 [04:00<24:03,  2.08it/s]
overall:  13%|█▎        | 512/4000 [04:03<34:17,  1.70it/s]

train:  15%|█▍        | 512/3515 [04:01<29:31,  1.70it/s]
overall:  13%|█▎        | 513/4000 [04:04<32:00,  1.82it/s]

train:  15%|█▍        | 513/3515 [04:02<27:32,  1.82it/s]
overall:  13%|█▎        | 514/4000 [04:04<27:58,  2.08it/s]

train:  15%|█▍        | 514/3515 [04:02<24:04,  2.08it/s]
overall:  13%|█▎        | 515/4000 [04:04<22:35,  2.57it/s]

train:  15%|█▍        | 515/3515 [04:02<19:26,  2.57it/s]
overall:  13%|█▎        | 516/4000 [04:05<24:47,  2.34it/s]

train:  15%|█▍        | 516/3515 [04:03<21:20,  2.34it/s]
overall:  13%|█▎        | 517/4000 [04:05<26:38,  2.18it/s]

train:  15%|█▍        | 517/3515 [04:03<22:55,  2.18it/s]
overall:  13%|█▎        | 518/4000 [04:06<27:06,  2.14it/s]

train:  15%|█▍        | 518/3515 [04:04<23:20,  2.14it/s]
overall:  13%|█▎        | 519/4000 [04:06<27:51,  2.08it/s]

train:  15%|█▍        | 519/3515 [04:04<23:58,  2.08it/s]
overall:  13%|█▎        | 520/4000 [04:06<26:07,  2.22it/s]

train:  15%|█▍        | 520/3515 [04:04<22:28,  2.22it/s]
overall:  13%|█▎        | 521/4000 [04:07<21:13,  2.73it/s]

train:  15%|█▍        | 521/3515 [04:05<18:15,  2.73it/s]
overall:  13%|█▎        | 522/4000 [04:07<23:36,  2.46it/s]

train:  15%|█▍        | 522/3515 [04:05<20:18,  2.46it/s]
overall:  13%|█▎        | 523/4000 [04:08<25:19,  2.29it/s]

train:  15%|█▍        | 523/3515 [04:06<21:47,  2.29it/s]
overall:  13%|█▎        | 524/4000 [04:08<25:26,  2.28it/s]

train:  15%|█▍        | 524/3515 [04:06<21:53,  2.28it/s]
overall:  13%|█▎        | 525/4000 [04:09<25:33,  2.27it/s]

train:  15%|█▍        | 525/3515 [04:07<21:59,  2.27it/s]
overall:  13%|█▎        | 526/4000 [04:09<25:31,  2.27it/s]

train:  15%|█▍        | 526/3515 [04:07<21:57,  2.27it/s]
overall:  13%|█▎        | 527/4000 [04:09<26:49,  2.16it/s]

train:  15%|█▍        | 527/3515 [04:07<23:04,  2.16it/s]
overall:  13%|█▎        | 528/4000 [04:10<27:16,  2.12it/s]

train:  15%|█▌        | 528/3515 [04:08<23:27,  2.12it/s]
overall:  13%|█▎        | 529/4000 [04:10<27:52,  2.07it/s]

train:  15%|█▌        | 529/3515 [04:08<23:59,  2.07it/s]
overall:  13%|█▎        | 530/4000 [04:11<25:00,  2.31it/s]

train:  15%|█▌        | 530/3515 [04:09<21:30,  2.31it/s]
overall:  13%|█▎        | 531/4000 [04:11<26:19,  2.20it/s]

train:  15%|█▌        | 531/3515 [04:09<22:38,  2.20it/s]
overall:  13%|█▎        | 532/4000 [04:12<27:35,  2.09it/s]

train:  15%|█▌        | 532/3515 [04:10<23:44,  2.09it/s]
overall:  13%|█▎        | 533/4000 [04:12<27:07,  2.13it/s]

train:  15%|█▌        | 533/3515 [04:10<23:19,  2.13it/s]
overall:  13%|█▎        | 534/4000 [04:13<27:32,  2.10it/s]

train:  15%|█▌        | 534/3515 [04:11<23:40,  2.10it/s]
overall:  13%|█▎        | 535/4000 [04:13<28:11,  2.05it/s]

train:  15%|█▌        | 535/3515 [04:11<24:14,  2.05it/s]
overall:  13%|█▎        | 536/4000 [04:14<34:40,  1.67it/s]

train:  15%|█▌        | 536/3515 [04:12<29:49,  1.67it/s]
overall:  13%|█▎        | 537/4000 [04:15<32:58,  1.75it/s]

train:  15%|█▌        | 537/3515 [04:13<28:21,  1.75it/s]
overall:  13%|█▎        | 538/4000 [04:15<26:03,  2.21it/s]

train:  15%|█▌        | 538/3515 [04:13<22:24,  2.21it/s]
overall:  13%|█▎        | 539/4000 [04:15<20:17,  2.84it/s]

train:  15%|█▌        | 539/3515 [04:13<17:27,  2.84it/s]
overall:  14%|█▎        | 540/4000 [04:15<18:16,  3.16it/s]

train:  15%|█▌        | 540/3515 [04:13<15:42,  3.16it/s]
overall:  14%|█▎        | 541/4000 [04:15<14:34,  3.96it/s]

train:  15%|█▌        | 541/3515 [04:13<12:31,  3.96it/s]
overall:  14%|█▎        | 542/4000 [04:16<18:18,  3.15it/s]

train:  15%|█▌        | 542/3515 [04:14<15:44,  3.15it/s]
overall:  14%|█▎        | 543/4000 [04:16<19:35,  2.94it/s]

train:  15%|█▌        | 543/3515 [04:14<16:50,  2.94it/s]
overall:  14%|█▎        | 544/4000 [04:17<22:03,  2.61it/s]

train:  15%|█▌        | 544/3515 [04:15<18:58,  2.61it/s]
overall:  14%|█▎        | 545/4000 [04:17<24:34,  2.34it/s]

train:  16%|█▌        | 545/3515 [04:15<21:07,  2.34it/s]
overall:  14%|█▎        | 546/4000 [04:18<25:59,  2.21it/s]

train:  16%|█▌        | 546/3515 [04:16<22:20,  2.21it/s]
overall:  14%|█▎        | 547/4000 [04:18<26:51,  2.14it/s]

train:  16%|█▌        | 547/3515 [04:16<23:05,  2.14it/s]
overall:  14%|█▎        | 548/4000 [04:18<23:08,  2.49it/s]

train:  16%|█▌        | 548/3515 [04:16<19:53,  2.49it/s]
overall:  14%|█▎        | 549/4000 [04:19<24:46,  2.32it/s]

train:  16%|█▌        | 549/3515 [04:17<21:17,  2.32it/s]
overall:  14%|█▍        | 550/4000 [04:19<26:18,  2.19it/s]

train:  16%|█▌        | 550/3515 [04:17<22:36,  2.19it/s]
overall:  14%|█▍        | 551/4000 [04:20<26:58,  2.13it/s]

train:  16%|█▌        | 551/3515 [04:18<23:10,  2.13it/s]
overall:  14%|█▍        | 552/4000 [04:20<27:27,  2.09it/s]

train:  16%|█▌        | 552/3515 [04:18<23:36,  2.09it/s]
overall:  14%|█▍        | 553/4000 [04:21<25:59,  2.21it/s]

train:  16%|█▌        | 553/3515 [04:19<22:20,  2.21it/s]
overall:  14%|█▍        | 554/4000 [04:21<26:30,  2.17it/s]

train:  16%|█▌        | 554/3515 [04:19<22:46,  2.17it/s]
overall:  14%|█▍        | 555/4000 [04:22<26:53,  2.14it/s]

train:  16%|█▌        | 555/3515 [04:20<23:06,  2.14it/s]
overall:  14%|█▍        | 556/4000 [04:22<27:33,  2.08it/s]

train:  16%|█▌        | 556/3515 [04:20<23:40,  2.08it/s]
overall:  14%|█▍        | 557/4000 [04:23<28:14,  2.03it/s]

train:  16%|█▌        | 557/3515 [04:21<24:15,  2.03it/s]
overall:  14%|█▍        | 558/4000 [04:23<28:14,  2.03it/s]

train:  16%|█▌        | 558/3515 [04:21<24:15,  2.03it/s]
overall:  14%|█▍        | 559/4000 [04:24<25:58,  2.21it/s]

train:  16%|█▌        | 559/3515 [04:22<22:19,  2.21it/s]
overall:  14%|█▍        | 560/4000 [04:25<33:50,  1.69it/s]

train:  16%|█▌        | 560/3515 [04:23<29:04,  1.69it/s]
overall:  14%|█▍        | 561/4000 [04:25<32:46,  1.75it/s]

train:  16%|█▌        | 561/3515 [04:23<28:08,  1.75it/s]
overall:  14%|█▍        | 562/4000 [04:26<31:40,  1.81it/s]

train:  16%|█▌        | 562/3515 [04:24<27:12,  1.81it/s]
overall:  14%|█▍        | 563/4000 [04:26<31:13,  1.83it/s]

train:  16%|█▌        | 563/3515 [04:24<26:49,  1.83it/s]
overall:  14%|█▍        | 564/4000 [04:27<30:28,  1.88it/s]

train:  16%|█▌        | 564/3515 [04:25<26:10,  1.88it/s]
overall:  14%|█▍        | 565/4000 [04:27<29:40,  1.93it/s]

train:  16%|█▌        | 565/3515 [04:25<25:28,  1.93it/s]
overall:  14%|█▍        | 566/4000 [04:28<29:16,  1.96it/s]

train:  16%|█▌        | 566/3515 [04:26<25:08,  1.96it/s]
overall:  14%|█▍        | 567/4000 [04:28<28:51,  1.98it/s]

train:  16%|█▌        | 567/3515 [04:26<24:46,  1.98it/s]
overall:  14%|█▍        | 569/4000 [04:29<23:44,  2.41it/s]

train:  16%|█▌        | 569/3515 [04:27<20:23,  2.41it/s]
overall:  14%|█▍        | 570/4000 [04:29<24:25,  2.34it/s]

train:  16%|█▌        | 570/3515 [04:27<20:57,  2.34it/s]
overall:  14%|█▍        | 571/4000 [04:30<25:50,  2.21it/s]

train:  16%|█▌        | 571/3515 [04:28<22:11,  2.21it/s]
overall:  14%|█▍        | 572/4000 [04:30<26:53,  2.12it/s]

train:  16%|█▋        | 572/3515 [04:28<23:04,  2.12it/s]
overall:  14%|█▍        | 573/4000 [04:31<26:44,  2.14it/s]

train:  16%|█▋        | 573/3515 [04:29<22:57,  2.14it/s]
overall:  14%|█▍        | 574/4000 [04:31<21:05,  2.71it/s]

train:  16%|█▋        | 574/3515 [04:29<18:06,  2.71it/s]
overall:  14%|█▍        | 575/4000 [04:31<22:57,  2.49it/s]

train:  16%|█▋        | 575/3515 [04:29<19:42,  2.49it/s]
overall:  14%|█▍        | 576/4000 [04:31<18:23,  3.10it/s]

train:  16%|█▋        | 576/3515 [04:29<15:46,  3.10it/s]
overall:  14%|█▍        | 577/4000 [04:32<21:48,  2.62it/s]

train:  16%|█▋        | 577/3515 [04:30<18:43,  2.62it/s]
overall:  14%|█▍        | 578/4000 [04:32<24:19,  2.34it/s]

train:  16%|█▋        | 578/3515 [04:31<20:52,  2.34it/s]
overall:  14%|█▍        | 579/4000 [04:33<25:52,  2.20it/s]

train:  16%|█▋        | 579/3515 [04:31<22:12,  2.20it/s]
overall:  14%|█▍        | 580/4000 [04:34<26:33,  2.15it/s]

train:  17%|█▋        | 580/3515 [04:32<22:47,  2.15it/s]
overall:  15%|█▍        | 581/4000 [04:34<26:57,  2.11it/s]

train:  17%|█▋        | 581/3515 [04:32<23:07,  2.11it/s]
overall:  15%|█▍        | 582/4000 [04:35<27:40,  2.06it/s]

train:  17%|█▋        | 582/3515 [04:33<23:45,  2.06it/s]
overall:  15%|█▍        | 583/4000 [04:35<28:04,  2.03it/s]

train:  17%|█▋        | 583/3515 [04:33<24:05,  2.03it/s]
overall:  15%|█▍        | 584/4000 [04:36<33:40,  1.69it/s]

train:  17%|█▋        | 584/3515 [04:34<28:53,  1.69it/s]
overall:  15%|█▍        | 585/4000 [04:36<31:52,  1.79it/s]

train:  17%|█▋        | 585/3515 [04:34<27:20,  1.79it/s]
overall:  15%|█▍        | 586/4000 [04:37<30:08,  1.89it/s]

train:  17%|█▋        | 586/3515 [04:35<25:51,  1.89it/s]
overall:  15%|█▍        | 587/4000 [04:37<24:02,  2.37it/s]

train:  17%|█▋        | 587/3515 [04:35<20:37,  2.37it/s]
overall:  15%|█▍        | 588/4000 [04:37<23:39,  2.40it/s]

train:  17%|█▋        | 588/3515 [04:35<20:17,  2.40it/s]
overall:  15%|█▍        | 589/4000 [04:38<24:46,  2.29it/s]

train:  17%|█▋        | 589/3515 [04:36<21:15,  2.29it/s]
overall:  15%|█▍        | 590/4000 [04:38<25:47,  2.20it/s]

train:  17%|█▋        | 590/3515 [04:36<22:07,  2.20it/s]
overall:  15%|█▍        | 591/4000 [04:39<23:35,  2.41it/s]

train:  17%|█▋        | 591/3515 [04:37<20:13,  2.41it/s]
overall:  15%|█▍        | 592/4000 [04:39<24:54,  2.28it/s]

train:  17%|█▋        | 592/3515 [04:37<21:21,  2.28it/s]
overall:  15%|█▍        | 593/4000 [04:40<25:53,  2.19it/s]

train:  17%|█▋        | 593/3515 [04:38<22:11,  2.19it/s]
overall:  15%|█▍        | 594/4000 [04:40<26:25,  2.15it/s]

train:  17%|█▋        | 594/3515 [04:38<22:39,  2.15it/s]
overall:  15%|█▍        | 595/4000 [04:41<26:13,  2.16it/s]

train:  17%|█▋        | 595/3515 [04:39<22:29,  2.16it/s]
overall:  15%|█▍        | 596/4000 [04:41<27:10,  2.09it/s]

train:  17%|█▋        | 596/3515 [04:39<23:17,  2.09it/s]
overall:  15%|█▍        | 597/4000 [04:42<27:39,  2.05it/s]

train:  17%|█▋        | 597/3515 [04:40<23:42,  2.05it/s]
overall:  15%|█▍        | 598/4000 [04:42<28:13,  2.01it/s]

train:  17%|█▋        | 598/3515 [04:40<24:11,  2.01it/s]
overall:  15%|█▍        | 599/4000 [04:42<23:00,  2.46it/s]

train:  17%|█▋        | 599/3515 [04:40<19:44,  2.46it/s]
overall:  15%|█▌        | 600/4000 [04:43<24:43,  2.29it/s]

train:  17%|█▋        | 600/3515 [04:41<21:12,  2.29it/s]
overall:  15%|█▌        | 601/4000 [04:43<25:53,  2.19it/s]

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overall:  15%|█▌        | 602/4000 [04:44<26:39,  2.12it/s]

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overall:  17%|█▋        | 664/4000 [05:12<24:41,  2.25it/s]

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overall:  24%|██▍       | 961/4000 [07:35<23:58,  2.11it/s]

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train:  28%|██▊       | 986/3515 [07:45<19:19,  2.18it/s]
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train:  28%|██▊       | 995/3515 [07:50<22:29,  1.87it/s]
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train:  28%|██▊       | 996/3515 [07:51<22:21,  1.88it/s]
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train:  28%|██▊       | 997/3515 [07:51<22:15,  1.89it/s]
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train:  28%|██▊       | 998/3515 [07:52<22:04,  1.90it/s]
overall:  25%|██▍       | 999/4000 [07:54<26:13,  1.91it/s]

train:  28%|██▊       | 999/3515 [07:52<21:59,  1.91it/s]train loss: 7.918877601623535
train per: 0.9733060572797126
train loss: 5.432981967926025
train per: 0.8786899146748636
train loss: 5.050699710845947
train per: 0.9102379518860763
train loss: 4.246434688568115
train per: 0.9223147047166073
train loss: 4.581345558166504
train per: 0.9176495665766662
train loss: 4.180309295654297
train per: 0.9199011124845489
train loss: 4.023122787475586
train per: 0.8989480323474421
train loss: 4.14436674118042
train per: 0.9106644192306724
train loss: 4.004404544830322
train per: 0.9079972691103421
train loss: 4.539676666259766
train per: 0.8937215650591447
train loss: 4.5269927978515625
train per: 0.8631576375143563
train loss: 4.539307594299316
train per: 0.8484067830523736
train loss: 3.9421393871307373
train per: 0.86281370935972
train loss: 4.217568874359131
train per: 0.9005208589258513
train loss: 4.064937114715576
train per: 0.8776019783438573
train loss: 4.029311180114746
train per: 0.872267776586995
train loss: 4.024668216705322
train per: 0.8648526894314803
train loss: 4.145495414733887
train per: 0.8836127376273362
train loss: 4.215219497680664
train per: 0.8666372145677445
train loss: 4.163917541503906
train per: 0.8870837315298096
train loss: 3.991241931915283
train per: 0.8485634294106847
train loss: 3.9868366718292236
train per: 0.8687406924795235
train loss: 4.223913669586182
train per: 0.8661443876624556
train loss: 4.043734073638916
train per: 0.8502871729419272
train loss: 3.9973762035369873
train per: 0.8722470653996646
train loss: 4.112069129943848
train per: 0.8632272581163613
train loss: 4.141596794128418
train per: 0.8438573244273777
train loss: 4.207009315490723
train per: 0.8594188350963889
train loss: 4.655595302581787
train per: 0.8452102353092452
train loss: 4.168763637542725
train per: 0.8519876394490127
train loss: 4.072013854980469
train per: 0.8566373496756327
train loss: 3.965893507003784
train per: 0.8489841152567418
train loss: 4.073137283325195
train per: 0.8436737670698891
train loss: 4.340165615081787
train per: 0.8475933598420599
train loss: 4.073419094085693
train per: 0.8491910018848065
train loss: 3.9429123401641846
train per: 0.8477544442038921
train loss: 4.07515811920166
train per: 0.8505763585594616
train loss: 3.8624749183654785
train per: 0.849523947610072
train loss: 3.875291347503662
train per: 0.845716804623598
train loss: 4.029722690582275
train per: 0.8486202607453817
train loss: 3.8298919200897217
train per: 0.8422260886375719
train loss: 4.034775733947754
train per: 0.8389786109655817
train loss: 3.9018280506134033
train per: 0.8459287231531745
train loss: 3.7866897583007812
train per: 0.8561620502607374
train loss: 4.228238582611084
train per: 0.8410929354664749
train loss: 3.9752564430236816
train per: 0.8405178865439306
train loss: 3.86077618598938
train per: 0.8369495117007555
train loss: 4.0804762840271
train per: 0.8416837124479385
train loss: 3.8754634857177734
train per: 0.8432330154184459
train loss: 4.037265777587891
train per: 0.8457914431270006
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   7%|▋         | 183/2703 [00:00<00:01, 1707.29it/s]


word -> phonemes:  19%|█▉        | 516/2703 [00:00<00:00, 2631.90it/s]


word -> phonemes:  29%|██▉       | 782/2703 [00:00<00:00, 2620.52it/s]


word -> phonemes:  39%|███▉      | 1048/2703 [00:00<00:00, 2622.18it/s]


word -> phonemes:  49%|████▊     | 1312/2703 [00:00<00:00, 2162.47it/s]


word -> phonemes:  58%|█████▊    | 1563/2703 [00:00<00:00, 2257.37it/s]


word -> phonemes:  67%|██████▋   | 1799/2703 [00:00<00:00, 2287.07it/s]


word -> phonemes:  77%|███████▋  | 2080/2703 [00:00<00:00, 2441.37it/s]


word -> phonemes:  87%|████████▋ | 2361/2703 [00:00<00:00, 2529.82it/s]


word -> phonemes:  97%|█████████▋| 2618/2703 [00:01<00:00, 2232.88it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2143.72it/s]



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overall:  47%|████▋     | 1894/4000 [17:40<14:41,  2.39it/s]

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overall:  47%|████▋     | 1895/4000 [17:41<15:39,  2.24it/s]

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overall:  48%|████▊     | 1900/4000 [17:43<18:34,  1.88it/s]

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overall:  48%|████▊     | 1901/4000 [17:44<18:45,  1.87it/s]

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overall:  48%|████▊     | 1902/4000 [17:44<18:28,  1.89it/s]

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overall:  48%|████▊     | 1903/4000 [17:45<18:32,  1.89it/s]

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overall:  48%|████▊     | 1909/4000 [17:48<16:00,  2.18it/s]

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overall:  48%|████▊     | 1910/4000 [17:48<16:38,  2.09it/s]

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overall:  48%|████▊     | 1912/4000 [17:49<19:40,  1.77it/s]

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overall:  48%|████▊     | 1917/4000 [17:52<17:24,  1.99it/s]

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overall:  48%|████▊     | 1918/4000 [17:52<17:11,  2.02it/s]

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overall:  48%|████▊     | 1919/4000 [17:53<17:32,  1.98it/s]

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overall:  48%|████▊     | 1920/4000 [17:53<18:05,  1.92it/s]

train:  55%|█████▍    | 1920/3515 [17:51<13:52,  1.92it/s]
overall:  48%|████▊     | 1921/4000 [17:54<15:58,  2.17it/s]

train:  55%|█████▍    | 1921/3515 [17:52<12:14,  2.17it/s]
overall:  48%|████▊     | 1922/4000 [17:54<16:38,  2.08it/s]

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overall:  48%|████▊     | 1923/4000 [17:55<16:58,  2.04it/s]

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overall:  48%|████▊     | 1924/4000 [17:55<14:50,  2.33it/s]

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overall:  48%|████▊     | 1925/4000 [17:55<13:08,  2.63it/s]

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overall:  48%|████▊     | 1928/4000 [17:56<11:54,  2.90it/s]

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overall:  48%|████▊     | 1929/4000 [17:57<13:04,  2.64it/s]

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overall:  48%|████▊     | 1930/4000 [17:57<14:36,  2.36it/s]

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overall:  48%|████▊     | 1931/4000 [17:58<15:26,  2.23it/s]

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overall:  48%|████▊     | 1932/4000 [17:58<12:10,  2.83it/s]

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overall:  48%|████▊     | 1933/4000 [17:58<13:51,  2.49it/s]

train:  55%|█████▍    | 1933/3515 [17:56<10:36,  2.49it/s]
overall:  48%|████▊     | 1934/4000 [17:59<14:29,  2.38it/s]

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overall:  48%|████▊     | 1936/4000 [18:00<16:45,  2.05it/s]

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overall:  48%|████▊     | 1937/4000 [18:01<17:14,  1.99it/s]

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overall:  48%|████▊     | 1938/4000 [18:01<14:55,  2.30it/s]

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overall:  48%|████▊     | 1939/4000 [18:01<15:07,  2.27it/s]

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overall:  48%|████▊     | 1940/4000 [18:01<12:47,  2.69it/s]

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overall:  49%|████▊     | 1942/4000 [18:02<11:55,  2.88it/s]

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overall:  49%|████▊     | 1944/4000 [18:03<15:04,  2.27it/s]

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overall:  49%|████▊     | 1945/4000 [18:04<16:06,  2.13it/s]

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overall:  49%|████▊     | 1946/4000 [18:04<16:31,  2.07it/s]

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overall:  49%|████▉     | 1962/4000 [18:13<18:21,  1.85it/s]

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overall:  49%|████▉     | 1965/4000 [18:14<17:03,  1.99it/s]

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overall:  49%|████▉     | 1967/4000 [18:15<17:23,  1.95it/s]

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overall:  49%|████▉     | 1968/4000 [18:16<17:31,  1.93it/s]

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overall:  49%|████▉     | 1969/4000 [18:16<17:42,  1.91it/s]

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overall:  49%|████▉     | 1970/4000 [18:17<17:45,  1.91it/s]

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overall:  49%|████▉     | 1972/4000 [18:18<16:55,  2.00it/s]

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overall:  49%|████▉     | 1974/4000 [18:19<16:51,  2.00it/s]

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overall:  49%|████▉     | 1975/4000 [18:19<17:15,  1.95it/s]

train:  56%|█████▌    | 1975/3515 [18:17<13:07,  1.95it/s]
overall:  49%|████▉     | 1976/4000 [18:20<17:22,  1.94it/s]

train:  56%|█████▌    | 1976/3515 [18:18<13:12,  1.94it/s]
overall:  49%|████▉     | 1977/4000 [18:20<13:59,  2.41it/s]

train:  56%|█████▌    | 1977/3515 [18:18<10:38,  2.41it/s]
overall:  49%|████▉     | 1978/4000 [18:20<15:10,  2.22it/s]

train:  56%|█████▋    | 1978/3515 [18:18<11:31,  2.22it/s]
overall:  49%|████▉     | 1979/4000 [18:21<15:51,  2.12it/s]

train:  56%|█████▋    | 1979/3515 [18:19<12:03,  2.12it/s]
overall:  50%|████▉     | 1980/4000 [18:21<16:26,  2.05it/s]

train:  56%|█████▋    | 1980/3515 [18:19<12:29,  2.05it/s]
overall:  50%|████▉     | 1981/4000 [18:22<12:51,  2.62it/s]

train:  56%|█████▋    | 1981/3515 [18:20<09:46,  2.62it/s]
overall:  50%|████▉     | 1982/4000 [18:22<14:18,  2.35it/s]

train:  56%|█████▋    | 1982/3515 [18:20<10:52,  2.35it/s]
overall:  50%|████▉     | 1983/4000 [18:23<14:36,  2.30it/s]

train:  56%|█████▋    | 1983/3515 [18:21<11:05,  2.30it/s]
overall:  50%|████▉     | 1984/4000 [18:24<21:05,  1.59it/s]

train:  56%|█████▋    | 1984/3515 [18:22<16:00,  1.59it/s]
overall:  50%|████▉     | 1985/4000 [18:24<20:13,  1.66it/s]

train:  56%|█████▋    | 1985/3515 [18:22<15:21,  1.66it/s]
overall:  50%|████▉     | 1986/4000 [18:24<16:28,  2.04it/s]

train:  57%|█████▋    | 1986/3515 [18:22<12:30,  2.04it/s]
overall:  50%|████▉     | 1987/4000 [18:25<16:33,  2.03it/s]

train:  57%|█████▋    | 1987/3515 [18:23<12:33,  2.03it/s]
overall:  50%|████▉     | 1988/4000 [18:25<16:48,  1.99it/s]

train:  57%|█████▋    | 1988/3515 [18:23<12:45,  2.00it/s]
overall:  50%|████▉     | 1989/4000 [18:26<17:04,  1.96it/s]

train:  57%|█████▋    | 1989/3515 [18:24<12:57,  1.96it/s]
overall:  50%|████▉     | 1990/4000 [18:26<17:27,  1.92it/s]

train:  57%|█████▋    | 1990/3515 [18:24<13:15,  1.92it/s]
overall:  50%|████▉     | 1991/4000 [18:27<17:36,  1.90it/s]

train:  57%|█████▋    | 1991/3515 [18:25<13:21,  1.90it/s]
overall:  50%|████▉     | 1992/4000 [18:28<17:32,  1.91it/s]

train:  57%|█████▋    | 1992/3515 [18:26<13:18,  1.91it/s]
overall:  50%|████▉     | 1993/4000 [18:28<17:41,  1.89it/s]

train:  57%|█████▋    | 1993/3515 [18:26<13:24,  1.89it/s]
overall:  50%|████▉     | 1994/4000 [18:29<17:55,  1.87it/s]

train:  57%|█████▋    | 1994/3515 [18:27<13:35,  1.87it/s]
overall:  50%|████▉     | 1995/4000 [18:29<17:51,  1.87it/s]

train:  57%|█████▋    | 1995/3515 [18:27<13:31,  1.87it/s]
overall:  50%|████▉     | 1996/4000 [18:30<17:20,  1.93it/s]

train:  57%|█████▋    | 1996/3515 [18:28<13:08,  1.93it/s]
overall:  50%|████▉     | 1997/4000 [18:30<17:11,  1.94it/s]

train:  57%|█████▋    | 1997/3515 [18:28<13:01,  1.94it/s]
overall:  50%|████▉     | 1998/4000 [18:31<17:07,  1.95it/s]

train:  57%|█████▋    | 1998/3515 [18:29<12:58,  1.95it/s]
overall:  50%|████▉     | 1999/4000 [18:31<20:07,  1.66it/s]

train:  57%|█████▋    | 1999/3515 [18:29<15:14,  1.66it/s]dev loss: 5.197449684143066
dev per: 0.8585431841831426
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 4.014400959014893
train per: 0.8579667644183773
train loss: 4.140835285186768
train per: 0.8383139947904333
train loss: 3.941051483154297
train per: 0.8323163067078049
train loss: 4.064783096313477
train per: 0.8581519994072171
train loss: 4.0054545402526855
train per: 0.8472174293141924
train loss: 4.0316243171691895
train per: 0.8448028673835125
train loss: 3.9989750385284424
train per: 0.8363189938115401
train loss: 3.848172664642334
train per: 0.8398229424562983
train loss: 4.299208641052246
train per: 0.8582326951399116
train loss: 4.055656433105469
train per: 0.8367787502639792
train loss: 4.022029399871826
train per: 0.844754536243898
train loss: 3.898867130279541
train per: 0.8446626133758597
train loss: 4.0352888107299805
train per: 0.8469596254817268
train loss: 4.06736946105957
train per: 0.8358394716789433
train loss: 4.011939525604248
train per: 0.8366197183098592
train loss: 3.8458285331726074
train per: 0.8494080869164147
train loss: 4.067444324493408
train per: 0.8373615185086423
train loss: 4.041448593139648
train per: 0.8369674920783946
train loss: 3.932894229888916
train per: 0.8586506312690254
train loss: 3.849569320678711
train per: 0.8361781488526048
train loss: 4.041416168212891
train per: 0.8576684591041244
train loss: 3.854834794998169
train per: 0.8484582161510646
train loss: 3.8928825855255127
train per: 0.8451052391580868
train loss: 3.9030842781066895
train per: 0.8331508700006988
train loss: 3.9629528522491455
train per: 0.8456823369495524
train loss: 4.008206367492676
train per: 0.8587464175777518
train loss: 4.0276055335998535
train per: 0.860176130531093
train loss: 3.927953004837036
train per: 0.8418521026455273
train loss: 4.107154369354248
train per: 0.8456324638361551
train loss: 3.9767277240753174
train per: 0.8335166249385778
train loss: 3.8601226806640625
train per: 0.8439737619548345
train loss: 4.033683776855469
train per: 0.8574045558328466
train loss: 4.137917518615723
train per: 0.8298971549404075
train loss: 4.069128036499023
train per: 0.8390256629192163
train loss: 4.095757484436035
train per: 0.8329360300803618
train loss: 4.036005973815918
train per: 0.8350988366594155
train loss: 3.897660493850708
train per: 0.8330812497045895
train loss: 3.9475600719451904
train per: 0.8447276643758335
train loss: 3.971759796142578
train per: 0.8367621441644065
train loss: 4.0043182373046875
train per: 0.8441446076138809
train loss: 3.991084337234497
train per: 0.8445362284635355
train loss: 4.03871488571167
train per: 0.842741646991486
train loss: 3.8716206550598145
train per: 0.8273234575648237
train loss: 3.886806011199951
train per: 0.8570728960062686
train loss: 3.9445114135742188
train per: 0.8397178880247331
train loss: 4.102825164794922
train per: 0.8408247518322665
train loss: 4.2066144943237305
train per: 0.855225988700565
train loss: 4.130148410797119
train per: 0.8440700841105728
train loss: 3.9837985038757324
train per: 0.8287674355000456
train loss: 4.041025638580322
train per: 0.8352591123233325
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 304/2703 [00:00<00:00, 3035.65it/s]


word -> phonemes:  22%|██▏       | 608/2703 [00:00<00:01, 1996.48it/s]


word -> phonemes:  31%|███       | 828/2703 [00:00<00:00, 1957.45it/s]


word -> phonemes:  42%|████▏     | 1124/2703 [00:00<00:00, 2227.13it/s]


word -> phonemes:  54%|█████▎    | 1449/2703 [00:00<00:00, 2545.44it/s]


word -> phonemes:  70%|██████▉   | 1890/2703 [00:00<00:00, 3112.92it/s]


word -> phonemes:  82%|████████▏ | 2215/2703 [00:00<00:00, 2889.71it/s]


word -> phonemes:  93%|█████████▎| 2516/2703 [00:00<00:00, 2781.13it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2500.85it/s]



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overall:  68%|██████▊   | 2700/4000 [26:40<10:06,  2.14it/s]

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overall:  68%|██████▊   | 2701/4000 [26:40<10:28,  2.07it/s]

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overall:  74%|███████▍  | 2969/4000 [28:48<07:21,  2.33it/s]

train:  84%|████████▍ | 2969/3515 [28:46<03:53,  2.33it/s]
overall:  74%|███████▍  | 2970/4000 [28:48<07:44,  2.22it/s]

train:  84%|████████▍ | 2970/3515 [28:46<04:05,  2.22it/s]
overall:  74%|███████▍  | 2971/4000 [28:48<06:01,  2.84it/s]

train:  85%|████████▍ | 2971/3515 [28:46<03:11,  2.84it/s]
overall:  74%|███████▍  | 2972/4000 [28:49<06:57,  2.46it/s]

train:  85%|████████▍ | 2972/3515 [28:47<03:40,  2.46it/s]
overall:  74%|███████▍  | 2973/4000 [28:49<07:41,  2.22it/s]

train:  85%|████████▍ | 2973/3515 [28:47<04:03,  2.22it/s]
overall:  74%|███████▍  | 2974/4000 [28:50<09:38,  1.77it/s]

train:  85%|████████▍ | 2974/3515 [28:48<05:04,  1.77it/s]
overall:  74%|███████▍  | 2975/4000 [28:51<09:27,  1.81it/s]

train:  85%|████████▍ | 2975/3515 [28:49<04:59,  1.81it/s]
overall:  74%|███████▍  | 2976/4000 [28:51<08:56,  1.91it/s]

train:  85%|████████▍ | 2976/3515 [28:49<04:42,  1.91it/s]
overall:  74%|███████▍  | 2977/4000 [28:52<08:59,  1.90it/s]

train:  85%|████████▍ | 2977/3515 [28:50<04:43,  1.90it/s]
overall:  74%|███████▍  | 2978/4000 [28:52<09:04,  1.88it/s]

train:  85%|████████▍ | 2978/3515 [28:50<04:46,  1.88it/s]
overall:  74%|███████▍  | 2979/4000 [28:53<09:11,  1.85it/s]

train:  85%|████████▍ | 2979/3515 [28:51<04:49,  1.85it/s]
overall:  74%|███████▍  | 2980/4000 [28:53<09:13,  1.84it/s]

train:  85%|████████▍ | 2980/3515 [28:51<04:50,  1.84it/s]
overall:  75%|███████▍  | 2981/4000 [28:54<09:04,  1.87it/s]

train:  85%|████████▍ | 2981/3515 [28:52<04:45,  1.87it/s]
overall:  75%|███████▍  | 2982/4000 [28:54<09:06,  1.86it/s]

train:  85%|████████▍ | 2982/3515 [28:52<04:45,  1.86it/s]
overall:  75%|███████▍  | 2983/4000 [28:55<09:06,  1.86it/s]

train:  85%|████████▍ | 2983/3515 [28:53<04:46,  1.86it/s]
overall:  75%|███████▍  | 2984/4000 [28:55<09:05,  1.86it/s]

train:  85%|████████▍ | 2984/3515 [28:53<04:45,  1.86it/s]
overall:  75%|███████▍  | 2985/4000 [28:56<09:03,  1.87it/s]

train:  85%|████████▍ | 2985/3515 [28:54<04:43,  1.87it/s]
overall:  75%|███████▍  | 2986/4000 [28:57<09:06,  1.86it/s]

train:  85%|████████▍ | 2986/3515 [28:55<04:44,  1.86it/s]
overall:  75%|███████▍  | 2987/4000 [28:57<09:01,  1.87it/s]

train:  85%|████████▍ | 2987/3515 [28:55<04:42,  1.87it/s]
overall:  75%|███████▍  | 2988/4000 [28:58<08:49,  1.91it/s]

train:  85%|████████▌ | 2988/3515 [28:56<04:35,  1.91it/s]
overall:  75%|███████▍  | 2989/4000 [28:58<08:46,  1.92it/s]

train:  85%|████████▌ | 2989/3515 [28:56<04:33,  1.92it/s]
overall:  75%|███████▍  | 2990/4000 [28:59<08:52,  1.90it/s]

train:  85%|████████▌ | 2990/3515 [28:57<04:36,  1.90it/s]
overall:  75%|███████▍  | 2991/4000 [28:59<07:28,  2.25it/s]

train:  85%|████████▌ | 2991/3515 [28:57<03:52,  2.25it/s]
overall:  75%|███████▍  | 2992/4000 [28:59<07:49,  2.15it/s]

train:  85%|████████▌ | 2992/3515 [28:57<04:03,  2.15it/s]
overall:  75%|███████▍  | 2993/4000 [29:00<07:24,  2.27it/s]

train:  85%|████████▌ | 2993/3515 [28:58<03:50,  2.27it/s]
overall:  75%|███████▍  | 2994/4000 [29:00<07:36,  2.21it/s]

train:  85%|████████▌ | 2994/3515 [28:58<03:56,  2.21it/s]
overall:  75%|███████▍  | 2995/4000 [29:01<07:57,  2.10it/s]

train:  85%|████████▌ | 2995/3515 [28:59<04:07,  2.10it/s]
overall:  75%|███████▍  | 2996/4000 [29:01<08:10,  2.05it/s]

train:  85%|████████▌ | 2996/3515 [28:59<04:13,  2.05it/s]
overall:  75%|███████▍  | 2997/4000 [29:01<06:42,  2.49it/s]

train:  85%|████████▌ | 2997/3515 [29:00<03:28,  2.49it/s]
overall:  75%|███████▍  | 2998/4000 [29:02<06:25,  2.60it/s]

train:  85%|████████▌ | 2998/3515 [29:00<03:18,  2.60it/s]
overall:  75%|███████▍  | 2999/4000 [29:02<07:05,  2.35it/s]

train:  85%|████████▌ | 2999/3515 [29:00<03:39,  2.35it/s]dev loss: 4.340211391448975
dev per: 0.8843808532778356
train loss: 3.8060193061828613
train per: 0.8272952738567091
train loss: 4.206727504730225
train per: 0.8433225319712073
train loss: 3.933753490447998
train per: 0.8492786141042031
train loss: 4.396488666534424
train per: 0.8612332074537238
train loss: 4.087700843811035
train per: 0.8526837366064691
train loss: 4.089332580566406
train per: 0.8536003692686429
train loss: 4.39669942855835
train per: 0.8553208996160175
train loss: 4.039838790893555
train per: 0.8409615577637258
train loss: 3.941915988922119
train per: 0.8472982689010563
train loss: 3.883060932159424
train per: 0.8342221020814391
train loss: 4.066238880157471
train per: 0.8350210863910705
train loss: 4.091520309448242
train per: 0.8423957320438359
train loss: 3.92484974861145
train per: 0.8383352143169727
train loss: 4.018988132476807
train per: 0.8460077008815483
train loss: 4.217784404754639
train per: 0.8464634378484214
train loss: 3.925569534301758
train per: 0.8389042406206824
train loss: 3.8720169067382812
train per: 0.8416895864348616
train loss: 3.8889193534851074
train per: 0.8318042813455657
train loss: 4.001584053039551
train per: 0.8275978788220693
train loss: 4.067275047302246
train per: 0.8415543176986626
train loss: 3.9547317028045654
train per: 0.8289179150370206
train loss: 3.8550822734832764
train per: 0.8612199805350238
train loss: 3.8682193756103516
train per: 0.8291889223035145
train loss: 3.847848892211914
train per: 0.8431367810536491
train loss: 3.862914562225342
train per: 0.8440421929938794
train loss: 4.12261438369751
train per: 0.83940682255289
train loss: 4.0752153396606445
train per: 0.8379830028328612
train loss: 4.033350944519043
train per: 0.8422703861538864
train loss: 3.908094882965088
train per: 0.8337914468959711
train loss: 4.049192428588867
train per: 0.8660364722851844
train loss: 3.840524196624756
train per: 0.8344237430104362
train loss: 3.913832187652588
train per: 0.8466860888565185
train loss: 3.9033362865448
train per: 0.8384157110226764
train loss: 3.805528163909912
train per: 0.8495483448407608
train loss: 3.9145970344543457
train per: 0.8478980762911095
train loss: 3.9628734588623047
train per: 0.855398293393286
train loss: 4.058226585388184
train per: 0.8323834648216819
train loss: 3.90543794631958
train per: 0.8461169242584238
train loss: 3.9215540885925293
train per: 0.8476873374832559
train loss: 3.8436222076416016
train per: 0.8511629084098904
train loss: 3.9653968811035156
train per: 0.8298304444339489
train loss: 4.00258731842041
train per: 0.8516805427073697
train loss: 3.847896099090576
train per: 0.8459294399912755
train loss: 4.047386646270752
train per: 0.8442660433921041
train loss: 4.035923480987549
train per: 0.8355941819682278
train loss: 4.001710414886475
train per: 0.8372104733131923
train loss: 3.9176173210144043
train per: 0.8349780020382293
train loss: 3.968966245651245
train per: 0.8317648200252256
train loss: 3.9655139446258545
train per: 0.8401433334992285
train loss: 3.849705457687378
train per: 0.8412645590682196
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:   8%|▊         | 217/2703 [00:00<00:01, 2140.50it/s]


word -> phonemes:  16%|█▌        | 432/2703 [00:00<00:01, 1695.05it/s]


word -> phonemes:  23%|██▎       | 609/2703 [00:00<00:01, 1723.73it/s]


word -> phonemes:  30%|███       | 823/2703 [00:00<00:01, 1874.23it/s]


word -> phonemes:  40%|████      | 1090/2703 [00:00<00:00, 2144.62it/s]


word -> phonemes:  51%|█████     | 1372/2703 [00:00<00:00, 2363.58it/s]


word -> phonemes:  60%|█████▉    | 1612/2703 [00:00<00:00, 2211.77it/s]


word -> phonemes:  68%|██████▊   | 1845/2703 [00:00<00:00, 2246.59it/s]


word -> phonemes:  80%|███████▉  | 2159/2703 [00:00<00:00, 2495.85it/s]


word -> phonemes:  89%|████████▉ | 2412/2703 [00:01<00:00, 2214.17it/s]


word -> phonemes:  98%|█████████▊| 2641/2703 [00:01<00:00, 1838.58it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 2032.65it/s]



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train: 100%|██████████| 3515/3515 [35:42<00:00,  2.01it/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 [35:42<00:00,  1.64it/s]
dev loss: 4.786215782165527
dev per: 0.8694536940686785
train loss: 4.012869834899902
train per: 0.8426022322833693
train loss: 3.8200840950012207
train per: 0.8333291071836093
train loss: 3.9698996543884277
train per: 0.8501558949426624
train loss: 4.0522565841674805
train per: 0.8451128193646292
train loss: 4.027920246124268
train per: 0.8373911322248614
train loss: 3.842400074005127
train per: 0.8357168784029038
train loss: 3.8356716632843018
train per: 0.8488904723127035
train loss: 4.06512451171875
train per: 0.8568440385694608
train loss: 3.981656312942505
train per: 0.8537269958956706
train loss: 4.012503147125244
train per: 0.8262423006948555
train loss: 3.9161529541015625
train per: 0.8516178492122237
train loss: 4.030064582824707
train per: 0.8382987311117277
train loss: 4.012271881103516
train per: 0.8223189087488241
train loss: 3.8180859088897705
train per: 0.8525969372860214
train loss: 4.204912185668945
train per: 0.8414924918831169
train loss: 3.9926185607910156
train per: 0.8559511918581109
train loss: 3.8727924823760986
train per: 0.8471964064436184
train loss: 3.852710008621216
train per: 0.8297486455693259
train loss: 3.8581836223602295
train per: 0.8426942266571632
train loss: 4.006141662597656
train per: 0.831639488150783
train loss: 3.8806750774383545
train per: 0.8431203759713368
train loss: 4.03486442565918
train per: 0.8359315225707727
train loss: 3.944077253341675
train per: 0.837790263075402
train loss: 3.8829288482666016
train per: 0.839719301990501
train loss: 4.2091264724731445
train per: 0.8558030480656507
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  11%|█         | 372/3515 [00:00<00:00, 3717.58it/s]

word -> phonemes:  24%|██▎       | 831/3515 [00:00<00:00, 4229.20it/s]

word -> phonemes:  37%|███▋      | 1318/3515 [00:00<00:00, 4518.04it/s]

word -> phonemes:  50%|█████     | 1770/3515 [00:00<00:00, 4403.50it/s]

word -> phonemes:  63%|██████▎   | 2211/3515 [00:00<00:00, 4221.15it/s]

word -> phonemes:  76%|███████▌  | 2658/3515 [00:00<00:00, 4300.88it/s]

word -> phonemes:  88%|████████▊ | 3106/3515 [00:00<00:00, 4355.89it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4308.38it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [35:48<12:18,  1.53s/it]

train:   0%|          | 1/3515 [00:01<1:47:56,  1.84s/it]
overall:  88%|████████▊ | 3517/4000 [35:48<09:03,  1.13s/it]

train:   0%|          | 2/3515 [00:02<51:00,  1.15it/s]  
overall:  88%|████████▊ | 3518/4000 [35:48<07:23,  1.09it/s]

train:   0%|          | 3/3515 [00:02<39:25,  1.48it/s]
overall:  88%|████████▊ | 3519/4000 [35:49<06:34,  1.22it/s]

train:   0%|          | 4/3515 [00:03<37:29,  1.56it/s]
overall:  88%|████████▊ | 3520/4000 [35:49<05:34,  1.44it/s]

train:   0%|          | 5/3515 [00:03<32:33,  1.80it/s]
overall:  88%|████████▊ | 3521/4000 [35:50<04:47,  1.67it/s]

train:   0%|          | 6/3515 [00:03<28:54,  2.02it/s]
overall:  88%|████████▊ | 3522/4000 [35:50<03:46,  2.11it/s]

train:   0%|          | 7/3515 [00:04<22:51,  2.56it/s]
overall:  88%|████████▊ | 3523/4000 [35:50<03:54,  2.04it/s]

train:   0%|          | 8/3515 [00:04<25:28,  2.30it/s]
overall:  88%|████████▊ | 3524/4000 [35:51<03:59,  1.99it/s]

train:   0%|          | 9/3515 [00:05<27:10,  2.15it/s]
overall:  88%|████████▊ | 3525/4000 [35:51<03:39,  2.16it/s]

train:   0%|          | 10/3515 [00:05<25:26,  2.30it/s]
overall:  88%|████████▊ | 3526/4000 [35:51<02:58,  2.65it/s]

train:   0%|          | 11/3515 [00:05<20:49,  2.81it/s]
overall:  88%|████████▊ | 3527/4000 [35:52<03:17,  2.39it/s]

train:   0%|          | 12/3515 [00:06<23:35,  2.48it/s]
overall:  88%|████████▊ | 3528/4000 [35:52<03:15,  2.41it/s]

train:   0%|          | 13/3515 [00:06<23:38,  2.47it/s]
overall:  88%|████████▊ | 3529/4000 [35:53<03:29,  2.25it/s]

train:   0%|          | 14/3515 [00:07<25:35,  2.28it/s]
overall:  88%|████████▊ | 3530/4000 [35:53<03:26,  2.28it/s]

train:   0%|          | 15/3515 [00:07<25:18,  2.30it/s]
overall:  88%|████████▊ | 3531/4000 [35:54<03:40,  2.12it/s]

train:   0%|          | 16/3515 [00:08<27:15,  2.14it/s]
overall:  88%|████████▊ | 3532/4000 [35:54<03:46,  2.07it/s]

train:   0%|          | 17/3515 [00:08<28:03,  2.08it/s]
overall:  88%|████████▊ | 3533/4000 [35:55<03:33,  2.18it/s]

train:   1%|          | 18/3515 [00:08<26:35,  2.19it/s]
overall:  88%|████████▊ | 3534/4000 [35:55<03:40,  2.12it/s]

train:   1%|          | 19/3515 [00:09<27:27,  2.12it/s]
overall:  88%|████████▊ | 3535/4000 [35:56<03:43,  2.08it/s]

train:   1%|          | 20/3515 [00:09<27:55,  2.09it/s]
overall:  88%|████████▊ | 3536/4000 [35:56<03:42,  2.08it/s]

train:   1%|          | 21/3515 [00:10<27:54,  2.09it/s]
overall:  88%|████████▊ | 3537/4000 [35:56<02:59,  2.58it/s]

train:   1%|          | 22/3515 [00:10<22:34,  2.58it/s]
overall:  88%|████████▊ | 3538/4000 [35:57<03:13,  2.38it/s]

train:   1%|          | 23/3515 [00:11<24:25,  2.38it/s]
overall:  88%|████████▊ | 3539/4000 [35:57<03:25,  2.24it/s]

train:   1%|          | 24/3515 [00:11<25:56,  2.24it/s]
overall:  88%|████████▊ | 3540/4000 [35:58<03:48,  2.01it/s]

train:   1%|          | 25/3515 [00:12<28:56,  2.01it/s]
overall:  89%|████████▊ | 3541/4000 [35:58<03:52,  1.97it/s]

train:   1%|          | 26/3515 [00:12<29:27,  1.97it/s]
overall:  89%|████████▊ | 3542/4000 [35:59<03:49,  2.00it/s]

train:   1%|          | 27/3515 [00:13<29:05,  2.00it/s]
overall:  89%|████████▊ | 3543/4000 [35:59<03:15,  2.33it/s]

train:   1%|          | 28/3515 [00:13<24:54,  2.33it/s]
overall:  89%|████████▊ | 3544/4000 [36:00<03:25,  2.22it/s]

train:   1%|          | 29/3515 [00:14<26:13,  2.22it/s]
overall:  89%|████████▊ | 3545/4000 [36:00<02:48,  2.71it/s]

train:   1%|          | 30/3515 [00:14<21:28,  2.71it/s]
overall:  89%|████████▊ | 3546/4000 [36:00<03:08,  2.40it/s]

train:   1%|          | 31/3515 [00:14<24:10,  2.40it/s]
overall:  89%|████████▊ | 3547/4000 [36:01<03:24,  2.21it/s]

train:   1%|          | 32/3515 [00:15<26:12,  2.21it/s]
overall:  89%|████████▊ | 3548/4000 [36:01<03:30,  2.15it/s]

train:   1%|          | 33/3515 [00:15<27:00,  2.15it/s]
overall:  89%|████████▊ | 3549/4000 [36:02<03:34,  2.11it/s]

train:   1%|          | 34/3515 [00:16<27:33,  2.11it/s]
overall:  89%|████████▉ | 3550/4000 [36:02<03:27,  2.17it/s]

train:   1%|          | 35/3515 [00:16<26:41,  2.17it/s]
overall:  89%|████████▉ | 3551/4000 [36:03<03:34,  2.09it/s]

train:   1%|          | 36/3515 [00:17<27:40,  2.09it/s]
overall:  89%|████████▉ | 3552/4000 [36:03<03:47,  1.97it/s]

train:   1%|          | 37/3515 [00:17<29:27,  1.97it/s]
overall:  89%|████████▉ | 3553/4000 [36:04<03:54,  1.91it/s]

train:   1%|          | 38/3515 [00:18<30:21,  1.91it/s]
overall:  89%|████████▉ | 3554/4000 [36:05<03:53,  1.91it/s]

train:   1%|          | 39/3515 [00:18<30:20,  1.91it/s]
overall:  89%|████████▉ | 3555/4000 [36:05<03:07,  2.37it/s]

train:   1%|          | 40/3515 [00:19<24:27,  2.37it/s]
overall:  89%|████████▉ | 3556/4000 [36:05<03:15,  2.27it/s]

train:   1%|          | 41/3515 [00:19<25:32,  2.27it/s]
overall:  89%|████████▉ | 3557/4000 [36:06<03:23,  2.18it/s]

train:   1%|          | 42/3515 [00:20<26:34,  2.18it/s]
overall:  89%|████████▉ | 3558/4000 [36:06<03:28,  2.12it/s]

train:   1%|          | 43/3515 [00:20<27:16,  2.12it/s]
overall:  89%|████████▉ | 3559/4000 [36:07<02:59,  2.46it/s]

train:   1%|▏         | 44/3515 [00:20<23:29,  2.46it/s]
overall:  89%|████████▉ | 3560/4000 [36:07<03:12,  2.29it/s]

train:   1%|▏         | 45/3515 [00:21<25:17,  2.29it/s]
overall:  89%|████████▉ | 3561/4000 [36:08<03:21,  2.18it/s]

train:   1%|▏         | 46/3515 [00:21<26:33,  2.18it/s]
overall:  89%|████████▉ | 3562/4000 [36:08<03:29,  2.09it/s]

train:   1%|▏         | 47/3515 [00:22<27:36,  2.09it/s]
overall:  89%|████████▉ | 3563/4000 [36:08<03:02,  2.39it/s]

train:   1%|▏         | 48/3515 [00:22<24:11,  2.39it/s]
overall:  89%|████████▉ | 3564/4000 [36:09<03:36,  2.01it/s]

train:   1%|▏         | 49/3515 [00:23<28:44,  2.01it/s]
overall:  89%|████████▉ | 3565/4000 [36:09<03:14,  2.24it/s]

train:   1%|▏         | 50/3515 [00:23<25:45,  2.24it/s]
overall:  89%|████████▉ | 3566/4000 [36:10<03:21,  2.16it/s]

train:   1%|▏         | 51/3515 [00:24<26:47,  2.16it/s]
overall:  89%|████████▉ | 3567/4000 [36:10<03:19,  2.17it/s]

train:   1%|▏         | 52/3515 [00:24<26:37,  2.17it/s]
overall:  89%|████████▉ | 3568/4000 [36:10<02:42,  2.67it/s]

train:   2%|▏         | 53/3515 [00:24<21:38,  2.67it/s]
overall:  89%|████████▉ | 3569/4000 [36:11<02:57,  2.43it/s]

train:   2%|▏         | 54/3515 [00:25<23:43,  2.43it/s]
overall:  89%|████████▉ | 3570/4000 [36:11<03:06,  2.30it/s]

train:   2%|▏         | 55/3515 [00:25<25:04,  2.30it/s]
overall:  89%|████████▉ | 3571/4000 [36:12<03:15,  2.19it/s]

train:   2%|▏         | 56/3515 [00:26<26:18,  2.19it/s]
overall:  89%|████████▉ | 3572/4000 [36:12<03:23,  2.10it/s]

train:   2%|▏         | 57/3515 [00:26<27:26,  2.10it/s]
overall:  89%|████████▉ | 3573/4000 [36:13<03:27,  2.06it/s]

train:   2%|▏         | 58/3515 [00:27<27:57,  2.06it/s]
overall:  89%|████████▉ | 3574/4000 [36:14<03:30,  2.02it/s]

train:   2%|▏         | 59/3515 [00:27<28:28,  2.02it/s]
overall:  89%|████████▉ | 3575/4000 [36:14<03:29,  2.03it/s]

train:   2%|▏         | 60/3515 [00:28<28:24,  2.03it/s]
overall:  89%|████████▉ | 3576/4000 [36:15<03:50,  1.84it/s]

train:   2%|▏         | 61/3515 [00:28<31:17,  1.84it/s]
overall:  89%|████████▉ | 3577/4000 [36:15<03:46,  1.87it/s]

train:   2%|▏         | 62/3515 [00:29<30:48,  1.87it/s]
overall:  89%|████████▉ | 3578/4000 [36:16<03:43,  1.89it/s]

train:   2%|▏         | 63/3515 [00:29<30:26,  1.89it/s]
overall:  89%|████████▉ | 3579/4000 [36:16<03:40,  1.91it/s]

train:   2%|▏         | 64/3515 [00:30<30:10,  1.91it/s]
overall:  90%|████████▉ | 3580/4000 [36:17<03:40,  1.91it/s]

train:   2%|▏         | 65/3515 [00:30<30:10,  1.91it/s]
overall:  90%|████████▉ | 3581/4000 [36:17<03:38,  1.92it/s]

train:   2%|▏         | 66/3515 [00:31<29:54,  1.92it/s]
overall:  90%|████████▉ | 3582/4000 [36:18<03:38,  1.92it/s]

train:   2%|▏         | 67/3515 [00:32<29:58,  1.92it/s]
overall:  90%|████████▉ | 3583/4000 [36:18<03:32,  1.96it/s]

train:   2%|▏         | 68/3515 [00:32<29:20,  1.96it/s]
overall:  90%|████████▉ | 3584/4000 [36:18<02:57,  2.35it/s]

train:   2%|▏         | 69/3515 [00:32<24:29,  2.35it/s]
overall:  90%|████████▉ | 3585/4000 [36:19<02:16,  3.03it/s]

train:   2%|▏         | 70/3515 [00:32<18:56,  3.03it/s]
overall:  90%|████████▉ | 3586/4000 [36:19<02:38,  2.61it/s]

train:   2%|▏         | 71/3515 [00:33<22:02,  2.61it/s]
overall:  90%|████████▉ | 3587/4000 [36:20<02:52,  2.40it/s]

train:   2%|▏         | 72/3515 [00:33<23:54,  2.40it/s]
overall:  90%|████████▉ | 3588/4000 [36:20<03:20,  2.05it/s]

train:   2%|▏         | 73/3515 [00:34<27:56,  2.05it/s]
overall:  90%|████████▉ | 3589/4000 [36:21<03:32,  1.94it/s]

train:   2%|▏         | 74/3515 [00:35<29:37,  1.94it/s]
overall:  90%|████████▉ | 3590/4000 [36:21<03:32,  1.93it/s]

train:   2%|▏         | 75/3515 [00:35<29:42,  1.93it/s]
overall:  90%|████████▉ | 3591/4000 [36:22<03:20,  2.04it/s]

train:   2%|▏         | 76/3515 [00:36<28:04,  2.04it/s]
overall:  90%|████████▉ | 3592/4000 [36:22<03:09,  2.15it/s]

train:   2%|▏         | 77/3515 [00:36<26:38,  2.15it/s]
overall:  90%|████████▉ | 3593/4000 [36:23<03:15,  2.08it/s]

train:   2%|▏         | 78/3515 [00:36<27:34,  2.08it/s]
overall:  90%|████████▉ | 3594/4000 [36:23<03:15,  2.08it/s]

train:   2%|▏         | 79/3515 [00:37<27:33,  2.08it/s]
overall:  90%|████████▉ | 3595/4000 [36:24<03:01,  2.23it/s]

train:   2%|▏         | 80/3515 [00:37<25:38,  2.23it/s]
overall:  90%|████████▉ | 3596/4000 [36:24<03:00,  2.24it/s]

train:   2%|▏         | 81/3515 [00:38<25:34,  2.24it/s]
overall:  90%|████████▉ | 3597/4000 [36:25<03:08,  2.14it/s]

train:   2%|▏         | 82/3515 [00:38<26:43,  2.14it/s]
overall:  90%|████████▉ | 3598/4000 [36:25<03:05,  2.16it/s]

train:   2%|▏         | 83/3515 [00:39<26:27,  2.16it/s]
overall:  90%|████████▉ | 3599/4000 [36:25<02:56,  2.28it/s]

train:   2%|▏         | 84/3515 [00:39<25:07,  2.28it/s]
overall:  90%|█████████ | 3600/4000 [36:26<03:20,  2.00it/s]

train:   2%|▏         | 85/3515 [00:40<28:36,  2.00it/s]
overall:  90%|█████████ | 3601/4000 [36:27<03:26,  1.93it/s]

train:   2%|▏         | 86/3515 [00:40<29:36,  1.93it/s]
overall:  90%|█████████ | 3602/4000 [36:27<03:19,  1.99it/s]

train:   2%|▏         | 87/3515 [00:41<28:40,  1.99it/s]
overall:  90%|█████████ | 3603/4000 [36:28<03:19,  1.99it/s]

train:   3%|▎         | 88/3515 [00:41<28:45,  1.99it/s]
overall:  90%|█████████ | 3604/4000 [36:28<03:18,  1.99it/s]

train:   3%|▎         | 89/3515 [00:42<28:40,  1.99it/s]
overall:  90%|█████████ | 3605/4000 [36:28<02:32,  2.60it/s]

train:   3%|▎         | 90/3515 [00:42<21:59,  2.60it/s]
overall:  90%|█████████ | 3606/4000 [36:29<02:33,  2.57it/s]

train:   3%|▎         | 91/3515 [00:42<22:14,  2.57it/s]
overall:  90%|█████████ | 3607/4000 [36:29<02:43,  2.40it/s]

train:   3%|▎         | 92/3515 [00:43<23:47,  2.40it/s]
overall:  90%|█████████ | 3608/4000 [36:29<02:37,  2.49it/s]

train:   3%|▎         | 93/3515 [00:43<22:53,  2.49it/s]
overall:  90%|█████████ | 3609/4000 [36:30<02:43,  2.38it/s]

train:   3%|▎         | 94/3515 [00:44<23:54,  2.38it/s]
overall:  90%|█████████ | 3610/4000 [36:30<02:51,  2.28it/s]

train:   3%|▎         | 95/3515 [00:44<25:00,  2.28it/s]
overall:  90%|█████████ | 3611/4000 [36:31<02:58,  2.18it/s]

train:   3%|▎         | 96/3515 [00:45<26:04,  2.18it/s]
overall:  90%|█████████ | 3612/4000 [36:31<03:14,  1.99it/s]

train:   3%|▎         | 97/3515 [00:45<28:36,  1.99it/s]
overall:  90%|█████████ | 3613/4000 [36:32<03:14,  1.99it/s]

train:   3%|▎         | 98/3515 [00:46<28:39,  1.99it/s]
overall:  90%|█████████ | 3614/4000 [36:32<03:12,  2.01it/s]

train:   3%|▎         | 99/3515 [00:46<28:22,  2.01it/s]
overall:  90%|█████████ | 3615/4000 [36:33<03:12,  2.00it/s]

train:   3%|▎         | 100/3515 [00:47<28:31,  2.00it/s]
overall:  90%|█████████ | 3616/4000 [36:33<03:14,  1.97it/s]

train:   3%|▎         | 101/3515 [00:47<28:50,  1.97it/s]
overall:  90%|█████████ | 3617/4000 [36:34<03:11,  2.00it/s]

train:   3%|▎         | 102/3515 [00:48<28:28,  2.00it/s]
overall:  90%|█████████ | 3618/4000 [36:34<03:14,  1.97it/s]

train:   3%|▎         | 103/3515 [00:48<28:53,  1.97it/s]
overall:  90%|█████████ | 3619/4000 [36:35<03:12,  1.98it/s]

train:   3%|▎         | 104/3515 [00:49<28:45,  1.98it/s]
overall:  90%|█████████ | 3620/4000 [36:35<03:13,  1.97it/s]

train:   3%|▎         | 105/3515 [00:49<28:54,  1.97it/s]
overall:  91%|█████████ | 3621/4000 [36:36<03:14,  1.95it/s]

train:   3%|▎         | 106/3515 [00:50<29:05,  1.95it/s]
overall:  91%|█████████ | 3622/4000 [36:36<03:10,  1.99it/s]

train:   3%|▎         | 107/3515 [00:50<28:34,  1.99it/s]
overall:  91%|█████████ | 3623/4000 [36:37<03:08,  2.00it/s]

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overall:  91%|█████████ | 3630/4000 [36:40<02:49,  2.19it/s]

train:   3%|▎         | 115/3515 [00:54<25:54,  2.19it/s]
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train:   3%|▎         | 116/3515 [00:54<25:45,  2.20it/s]
overall:  91%|█████████ | 3632/4000 [36:41<02:53,  2.12it/s]

train:   3%|▎         | 117/3515 [00:55<26:46,  2.12it/s]
overall:  91%|█████████ | 3633/4000 [36:42<02:59,  2.04it/s]

train:   3%|▎         | 118/3515 [00:56<27:43,  2.04it/s]
overall:  91%|█████████ | 3634/4000 [36:42<03:01,  2.01it/s]

train:   3%|▎         | 119/3515 [00:56<28:05,  2.01it/s]
overall:  91%|█████████ | 3635/4000 [36:43<03:01,  2.01it/s]

train:   3%|▎         | 120/3515 [00:57<28:06,  2.01it/s]
overall:  91%|█████████ | 3636/4000 [36:43<03:19,  1.82it/s]

train:   3%|▎         | 121/3515 [00:57<31:01,  1.82it/s]
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train:   3%|▎         | 122/3515 [00:58<31:22,  1.80it/s]
overall:  91%|█████████ | 3638/4000 [36:45<03:13,  1.87it/s]

train:   3%|▎         | 123/3515 [00:58<30:17,  1.87it/s]
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train:   4%|▎         | 124/3515 [00:59<29:58,  1.89it/s]
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train:   4%|▎         | 128/3515 [01:01<29:26,  1.92it/s]
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train:   4%|▎         | 131/3515 [01:02<29:16,  1.93it/s]
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train:   4%|▍         | 132/3515 [01:03<25:53,  2.18it/s]
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train:   4%|▍         | 134/3515 [01:04<26:54,  2.09it/s]
overall:  91%|█████████▏| 3650/4000 [36:50<02:35,  2.25it/s]

train:   4%|▍         | 135/3515 [01:04<25:03,  2.25it/s]
overall:  91%|█████████▏| 3651/4000 [36:51<02:18,  2.52it/s]

train:   4%|▍         | 136/3515 [01:04<22:23,  2.52it/s]
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train:   4%|▍         | 137/3515 [01:05<23:57,  2.35it/s]
overall:  91%|█████████▏| 3653/4000 [36:52<02:38,  2.18it/s]

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overall:  91%|█████████▏| 3654/4000 [36:52<02:01,  2.85it/s]

train:   4%|▍         | 139/3515 [01:05<19:43,  2.85it/s]
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train:   4%|▍         | 141/3515 [01:07<24:50,  2.26it/s]
overall:  91%|█████████▏| 3657/4000 [36:53<02:40,  2.14it/s]

train:   4%|▍         | 142/3515 [01:07<26:14,  2.14it/s]
overall:  91%|█████████▏| 3658/4000 [36:54<02:42,  2.10it/s]

train:   4%|▍         | 143/3515 [01:08<26:43,  2.10it/s]
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train:   4%|▍         | 144/3515 [01:08<26:50,  2.09it/s]
overall:  92%|█████████▏| 3660/4000 [36:55<02:56,  1.93it/s]

train:   4%|▍         | 145/3515 [01:09<29:05,  1.93it/s]
overall:  92%|█████████▏| 3661/4000 [36:55<02:56,  1.92it/s]

train:   4%|▍         | 146/3515 [01:09<29:18,  1.92it/s]
overall:  92%|█████████▏| 3662/4000 [36:56<02:54,  1.94it/s]

train:   4%|▍         | 147/3515 [01:10<28:59,  1.94it/s]
overall:  92%|█████████▏| 3663/4000 [36:56<02:16,  2.47it/s]

train:   4%|▍         | 148/3515 [01:10<22:41,  2.47it/s]
overall:  92%|█████████▏| 3664/4000 [36:57<02:27,  2.28it/s]

train:   4%|▍         | 149/3515 [01:10<24:38,  2.28it/s]
overall:  92%|█████████▏| 3665/4000 [36:57<02:35,  2.16it/s]

train:   4%|▍         | 150/3515 [01:11<25:58,  2.16it/s]
overall:  92%|█████████▏| 3666/4000 [36:58<02:38,  2.10it/s]

train:   4%|▍         | 151/3515 [01:11<26:40,  2.10it/s]
overall:  92%|█████████▏| 3667/4000 [36:58<02:08,  2.58it/s]

train:   4%|▍         | 152/3515 [01:12<21:42,  2.58it/s]
overall:  92%|█████████▏| 3668/4000 [36:58<01:40,  3.31it/s]

train:   4%|▍         | 153/3515 [01:12<16:54,  3.31it/s]
overall:  92%|█████████▏| 3669/4000 [36:58<01:58,  2.78it/s]

train:   4%|▍         | 154/3515 [01:12<20:07,  2.78it/s]
overall:  92%|█████████▏| 3670/4000 [36:59<02:15,  2.43it/s]

train:   4%|▍         | 155/3515 [01:13<23:01,  2.43it/s]
overall:  92%|█████████▏| 3671/4000 [36:59<02:25,  2.27it/s]

train:   4%|▍         | 156/3515 [01:13<24:42,  2.27it/s]
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train:   4%|▍         | 157/3515 [01:14<28:22,  1.97it/s]
overall:  92%|█████████▏| 3673/4000 [37:00<02:14,  2.44it/s]

train:   4%|▍         | 158/3515 [01:14<22:57,  2.44it/s]
overall:  92%|█████████▏| 3674/4000 [37:01<02:22,  2.29it/s]

train:   5%|▍         | 159/3515 [01:15<24:26,  2.29it/s]
overall:  92%|█████████▏| 3675/4000 [37:01<02:29,  2.17it/s]

train:   5%|▍         | 160/3515 [01:15<25:44,  2.17it/s]
overall:  92%|█████████▏| 3676/4000 [37:02<02:32,  2.12it/s]

train:   5%|▍         | 161/3515 [01:16<26:23,  2.12it/s]
overall:  92%|█████████▏| 3677/4000 [37:02<02:31,  2.13it/s]

train:   5%|▍         | 162/3515 [01:16<26:12,  2.13it/s]
overall:  92%|█████████▏| 3678/4000 [37:03<02:35,  2.07it/s]

train:   5%|▍         | 163/3515 [01:17<26:58,  2.07it/s]
overall:  92%|█████████▏| 3679/4000 [37:03<02:38,  2.03it/s]

train:   5%|▍         | 164/3515 [01:17<27:32,  2.03it/s]
overall:  92%|█████████▏| 3680/4000 [37:04<02:38,  2.02it/s]

train:   5%|▍         | 165/3515 [01:18<27:41,  2.02it/s]
overall:  92%|█████████▏| 3681/4000 [37:04<02:42,  1.96it/s]

train:   5%|▍         | 166/3515 [01:18<28:24,  1.96it/s]
overall:  92%|█████████▏| 3682/4000 [37:05<02:10,  2.44it/s]

train:   5%|▍         | 167/3515 [01:18<22:50,  2.44it/s]
overall:  92%|█████████▏| 3683/4000 [37:05<02:17,  2.31it/s]

train:   5%|▍         | 168/3515 [01:19<24:11,  2.31it/s]
overall:  92%|█████████▏| 3684/4000 [37:06<02:36,  2.02it/s]

train:   5%|▍         | 169/3515 [01:19<27:38,  2.02it/s]
overall:  92%|█████████▏| 3685/4000 [37:06<02:36,  2.01it/s]

train:   5%|▍         | 170/3515 [01:20<27:46,  2.01it/s]
overall:  92%|█████████▏| 3686/4000 [37:07<02:35,  2.02it/s]

train:   5%|▍         | 171/3515 [01:20<27:34,  2.02it/s]
overall:  92%|█████████▏| 3687/4000 [37:07<02:23,  2.19it/s]

train:   5%|▍         | 172/3515 [01:21<25:28,  2.19it/s]
overall:  92%|█████████▏| 3688/4000 [37:07<02:20,  2.22it/s]

train:   5%|▍         | 173/3515 [01:21<25:02,  2.22it/s]
overall:  92%|█████████▏| 3689/4000 [37:08<02:25,  2.14it/s]

train:   5%|▍         | 174/3515 [01:22<26:03,  2.14it/s]
overall:  92%|█████████▏| 3690/4000 [37:08<02:30,  2.06it/s]

train:   5%|▍         | 175/3515 [01:22<26:59,  2.06it/s]
overall:  92%|█████████▏| 3691/4000 [37:09<02:35,  1.99it/s]

train:   5%|▌         | 176/3515 [01:23<27:59,  1.99it/s]
overall:  92%|█████████▏| 3692/4000 [37:10<02:35,  1.98it/s]

train:   5%|▌         | 177/3515 [01:23<28:04,  1.98it/s]
overall:  92%|█████████▏| 3693/4000 [37:10<02:35,  1.98it/s]

train:   5%|▌         | 178/3515 [01:24<28:09,  1.98it/s]
overall:  92%|█████████▏| 3694/4000 [37:11<02:36,  1.95it/s]

train:   5%|▌         | 179/3515 [01:24<28:29,  1.95it/s]
overall:  92%|█████████▏| 3695/4000 [37:11<02:16,  2.24it/s]

train:   5%|▌         | 180/3515 [01:25<24:48,  2.24it/s]
overall:  92%|█████████▏| 3696/4000 [37:11<02:22,  2.13it/s]

train:   5%|▌         | 181/3515 [01:25<26:03,  2.13it/s]
overall:  92%|█████████▏| 3697/4000 [37:12<01:52,  2.69it/s]

train:   5%|▌         | 182/3515 [01:25<20:39,  2.69it/s]
overall:  92%|█████████▏| 3698/4000 [37:12<02:05,  2.41it/s]

train:   5%|▌         | 183/3515 [01:26<23:04,  2.41it/s]
overall:  92%|█████████▏| 3699/4000 [37:13<02:13,  2.26it/s]

train:   5%|▌         | 184/3515 [01:26<24:35,  2.26it/s]
overall:  92%|█████████▎| 3700/4000 [37:13<02:13,  2.24it/s]

train:   5%|▌         | 185/3515 [01:27<24:45,  2.24it/s]
overall:  93%|█████████▎| 3701/4000 [37:14<02:19,  2.15it/s]

train:   5%|▌         | 186/3515 [01:27<25:48,  2.15it/s]
overall:  93%|█████████▎| 3702/4000 [37:14<02:12,  2.26it/s]

train:   5%|▌         | 187/3515 [01:28<24:35,  2.26it/s]
overall:  93%|█████████▎| 3703/4000 [37:14<02:20,  2.11it/s]

train:   5%|▌         | 188/3515 [01:28<26:18,  2.11it/s]
overall:  93%|█████████▎| 3704/4000 [37:15<02:21,  2.09it/s]

train:   5%|▌         | 189/3515 [01:29<26:30,  2.09it/s]
overall:  93%|█████████▎| 3705/4000 [37:15<02:14,  2.19it/s]

train:   5%|▌         | 190/3515 [01:29<25:15,  2.19it/s]
overall:  93%|█████████▎| 3706/4000 [37:16<02:19,  2.10it/s]

train:   5%|▌         | 191/3515 [01:30<26:20,  2.10it/s]
overall:  93%|█████████▎| 3707/4000 [37:16<01:58,  2.47it/s]

train:   5%|▌         | 192/3515 [01:30<22:22,  2.47it/s]
overall:  93%|█████████▎| 3708/4000 [37:17<02:12,  2.21it/s]

train:   5%|▌         | 193/3515 [01:30<25:04,  2.21it/s]
overall:  93%|█████████▎| 3709/4000 [37:17<02:14,  2.17it/s]

train:   6%|▌         | 194/3515 [01:31<25:29,  2.17it/s]
overall:  93%|█████████▎| 3710/4000 [37:17<02:01,  2.40it/s]

train:   6%|▌         | 195/3515 [01:31<23:06,  2.40it/s]
overall:  93%|█████████▎| 3711/4000 [37:18<02:07,  2.27it/s]

train:   6%|▌         | 196/3515 [01:32<24:19,  2.27it/s]
overall:  93%|█████████▎| 3712/4000 [37:18<02:11,  2.19it/s]

train:   6%|▌         | 197/3515 [01:32<25:14,  2.19it/s]
overall:  93%|█████████▎| 3713/4000 [37:19<02:13,  2.15it/s]

train:   6%|▌         | 198/3515 [01:33<25:43,  2.15it/s]
overall:  93%|█████████▎| 3714/4000 [37:19<02:12,  2.16it/s]

train:   6%|▌         | 199/3515 [01:33<25:36,  2.16it/s]
overall:  93%|█████████▎| 3715/4000 [37:20<01:55,  2.47it/s]

train:   6%|▌         | 200/3515 [01:33<22:21,  2.47it/s]
overall:  93%|█████████▎| 3716/4000 [37:20<02:03,  2.31it/s]

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overall:  93%|█████████▎| 3717/4000 [37:21<02:03,  2.30it/s]

train:   6%|▌         | 202/3515 [01:34<24:00,  2.30it/s]
overall:  93%|█████████▎| 3718/4000 [37:21<02:08,  2.20it/s]

train:   6%|▌         | 203/3515 [01:35<25:08,  2.20it/s]
overall:  93%|█████████▎| 3719/4000 [37:22<02:13,  2.11it/s]

train:   6%|▌         | 204/3515 [01:35<26:09,  2.11it/s]
overall:  93%|█████████▎| 3720/4000 [37:22<02:27,  1.90it/s]

train:   6%|▌         | 205/3515 [01:36<28:58,  1.90it/s]
overall:  93%|█████████▎| 3721/4000 [37:23<02:28,  1.88it/s]

train:   6%|▌         | 206/3515 [01:37<29:19,  1.88it/s]
overall:  93%|█████████▎| 3722/4000 [37:23<02:25,  1.91it/s]

train:   6%|▌         | 207/3515 [01:37<28:52,  1.91it/s]
overall:  93%|█████████▎| 3723/4000 [37:24<02:23,  1.93it/s]

train:   6%|▌         | 208/3515 [01:38<28:35,  1.93it/s]
overall:  93%|█████████▎| 3724/4000 [37:24<02:20,  1.96it/s]

train:   6%|▌         | 209/3515 [01:38<28:04,  1.96it/s]
overall:  93%|█████████▎| 3725/4000 [37:25<02:19,  1.98it/s]

train:   6%|▌         | 210/3515 [01:39<27:51,  1.98it/s]
overall:  93%|█████████▎| 3726/4000 [37:25<02:18,  1.97it/s]

train:   6%|▌         | 211/3515 [01:39<27:54,  1.97it/s]
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overall:  93%|█████████▎| 3728/4000 [37:26<02:15,  2.00it/s]

train:   6%|▌         | 213/3515 [01:40<27:29,  2.00it/s]
overall:  93%|█████████▎| 3729/4000 [37:27<02:16,  1.99it/s]

train:   6%|▌         | 214/3515 [01:41<27:36,  1.99it/s]
overall:  93%|█████████▎| 3730/4000 [37:27<02:11,  2.05it/s]

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train:   6%|▌         | 216/3515 [01:41<26:06,  2.11it/s]
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train:   6%|▌         | 219/3515 [01:43<29:28,  1.86it/s]
overall:  93%|█████████▎| 3735/4000 [37:30<02:18,  1.91it/s]

train:   6%|▋         | 220/3515 [01:44<28:43,  1.91it/s]
overall:  93%|█████████▎| 3736/4000 [37:30<02:17,  1.92it/s]

train:   6%|▋         | 221/3515 [01:44<28:34,  1.92it/s]
overall:  93%|█████████▎| 3737/4000 [37:31<02:14,  1.96it/s]

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overall:  99%|█████████▉| 3967/4000 [39:23<00:15,  2.14it/s]

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overall:  99%|█████████▉| 3968/4000 [39:23<00:15,  2.05it/s]

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overall:  99%|█████████▉| 3970/4000 [39:24<00:16,  1.76it/s]

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overall:  99%|█████████▉| 3971/4000 [39:25<00:16,  1.78it/s]

train:  13%|█▎        | 456/3515 [03:39<28:38,  1.78it/s]
overall:  99%|█████████▉| 3972/4000 [39:25<00:15,  1.84it/s]

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overall:  99%|█████████▉| 3973/4000 [39:26<00:12,  2.20it/s]

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overall:  99%|█████████▉| 3974/4000 [39:26<00:13,  1.93it/s]

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overall:  99%|█████████▉| 3975/4000 [39:27<00:13,  1.90it/s]

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overall: 100%|█████████▉| 3999/4000 [39:39<00:00,  1.93it/s]

train:  14%|█▍        | 484/3515 [03:52<26:08,  1.93it/s]train loss: 4.038327217102051
train per: 0.8449750274089414
train loss: 4.030245304107666
train per: 0.8583034856294226
train loss: 4.018854141235352
train per: 0.8374105847313087
train loss: 3.900550127029419
train per: 0.8314893617021276
train loss: 3.9589619636535645
train per: 0.8403529680249512
train loss: 4.066611289978027
train per: 0.8379974198670239
train loss: 3.924617290496826
train per: 0.8276075731497419
train loss: 4.0286736488342285
train per: 0.8374342743376385
train loss: 4.757355690002441
train per: 0.8795852863256572
train loss: 4.801482200622559
train per: 0.8742320202385255
train loss: 4.2344560623168945
train per: 0.8488066422008798
train loss: 3.9530036449432373
train per: 0.8294288264167782
train loss: 3.9591078758239746
train per: 0.8389666036546944
train loss: 3.9559879302978516
train per: 0.8341642955963351
train loss: 4.1802449226379395
train per: 0.844984958732934
train loss: 4.014980792999268
train per: 0.8453804554802345
train loss: 3.9639058113098145
train per: 0.8403034333284075
train loss: 4.009873867034912
train per: 0.824903741027713
train loss: 4.094363212585449
train per: 0.8461785168007105
train loss: 3.813260555267334
train per: 0.8326206332515481
train loss: 4.055130958557129
train per: 0.8348595848595849
train loss: 3.9827263355255127
train per: 0.8222369291859696
train loss: 3.8585429191589355
train per: 0.8367293439145873
train loss: 3.8720054626464844
train per: 0.8404493289243338
train loss: 4.031947135925293
train per: 0.8320206073215436
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  11%|█         | 297/2703 [00:00<00:00, 2648.14it/s]


word -> phonemes:  21%|██        | 562/2703 [00:00<00:01, 1823.26it/s]


word -> phonemes:  28%|██▊       | 758/2703 [00:00<00:01, 1769.28it/s]


word -> phonemes:  35%|███▌      | 955/2703 [00:00<00:00, 1815.67it/s]


word -> phonemes:  48%|████▊     | 1306/2703 [00:00<00:00, 2312.58it/s]


word -> phonemes:  57%|█████▋    | 1546/2703 [00:00<00:00, 2150.63it/s]


word -> phonemes:  65%|██████▌   | 1770/2703 [00:00<00:00, 2175.76it/s]


word -> phonemes:  74%|███████▍  | 2006/2703 [00:00<00:00, 2224.17it/s]


word -> phonemes:  83%|████████▎ | 2233/2703 [00:01<00:00, 1885.32it/s]


word -> phonemes:  90%|████████▉ | 2432/2703 [00:01<00:00, 1757.72it/s]


word -> phonemes:  97%|█████████▋| 2616/2703 [00:01<00:00, 1709.36it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:01<00:00, 1845.60it/s]



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dev:  98%|█████████▊| 2653/2703 [02:31<00:01, 29.07it/s]


dev:  98%|█████████▊| 2658/2703 [02:31<00:01, 32.64it/s]


dev:  98%|█████████▊| 2662/2703 [02:31<00:01, 32.17it/s]


dev:  99%|█████████▊| 2666/2703 [02:32<00:01, 29.30it/s]


dev:  99%|█████████▉| 2670/2703 [02:32<00:01, 30.90it/s]


dev:  99%|█████████▉| 2675/2703 [02:32<00:00, 34.55it/s]


dev:  99%|█████████▉| 2679/2703 [02:32<00:00, 35.29it/s]


dev:  99%|█████████▉| 2683/2703 [02:32<00:00, 32.60it/s]


dev:  99%|█████████▉| 2687/2703 [02:32<00:00, 34.06it/s]


dev: 100%|█████████▉| 2691/2703 [02:32<00:00, 35.20it/s]


dev: 100%|█████████▉| 2696/2703 [02:32<00:00, 37.45it/s]


dev: 100%|█████████▉| 2700/2703 [02:33<00:00, 37.64it/s]
dev: 100%|██████████| 2703/2703 [02:33<00:00, 17.62it/s]

                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [42:15<00:00,  1.93it/s]

train:  14%|█▍        | 484/3515 [06:29<26:08,  1.93it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [42:15<00:00,  1.93it/s]

train:  14%|█▍        | 484/3515 [06:29<26:08,  1.93it/s]
overall: 100%|██████████| 4000/4000 [42:15<00:00, 47.31s/it]

train:  14%|█▍        | 485/3515 [06:29<39:49:04, 47.31s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [06:29<40:34,  1.24it/s]   

overall: 100%|██████████| 4000/4000 [42:15<00:00,  1.58it/s]
dev loss: 4.461126327514648
dev per: 0.8809677419354839
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt