/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_g', 'encoder.pos_conv_embed.conv.weight_v']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-95M 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:   5%|▍         | 168/3515 [00:00<00:01, 1676.62it/s]

word -> phonemes:  10%|▉         | 336/3515 [00:00<00:02, 1544.43it/s]

word -> phonemes:  18%|█▊        | 629/3515 [00:00<00:01, 2144.67it/s]

word -> phonemes:  24%|██▍       | 847/3515 [00:00<00:01, 2088.45it/s]

word -> phonemes:  30%|███       | 1058/3515 [00:00<00:01, 2046.69it/s]

word -> phonemes:  36%|███▌      | 1264/3515 [00:00<00:01, 2015.21it/s]

word -> phonemes:  43%|████▎     | 1511/3515 [00:00<00:00, 2156.74it/s]

word -> phonemes:  51%|█████     | 1777/3515 [00:00<00:00, 2302.67it/s]

word -> phonemes:  57%|█████▋    | 2009/3515 [00:00<00:00, 2178.56it/s]

word -> phonemes:  64%|██████▍   | 2246/3515 [00:01<00:00, 2213.85it/s]

word -> phonemes:  70%|███████   | 2469/3515 [00:01<00:00, 2171.19it/s]

word -> phonemes:  77%|███████▋  | 2689/3515 [00:01<00:00, 2174.22it/s]

word -> phonemes:  83%|████████▎ | 2908/3515 [00:01<00:00, 2084.54it/s]

word -> phonemes:  92%|█████████▏| 3229/3515 [00:01<00:00, 2405.67it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:01<00:00, 2224.07it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<5:01:26,  4.52s/it]

train:   0%|          | 1/3515 [00:01<1:40:51,  1.72s/it]
overall:   0%|          | 2/4000 [00:05<2:27:07,  2.21s/it]

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overall:   0%|          | 3/4000 [00:05<1:36:45,  1.45s/it]

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overall:   0%|          | 4/4000 [00:06<1:11:33,  1.07s/it]

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overall:   0%|          | 5/4000 [00:06<57:23,  1.16it/s]  

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overall:   0%|          | 9/4000 [00:08<37:16,  1.78it/s]

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overall:   0%|          | 11/4000 [00:09<37:36,  1.77it/s]

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overall:   0%|          | 15/4000 [00:11<28:33,  2.32it/s]

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overall:   0%|          | 18/4000 [00:12<30:49,  2.15it/s]

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overall:   0%|          | 19/4000 [00:12<24:59,  2.65it/s]

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overall:   0%|          | 20/4000 [00:13<26:49,  2.47it/s]

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overall:   1%|          | 21/4000 [00:13<27:07,  2.44it/s]

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overall:   1%|          | 23/4000 [00:14<28:11,  2.35it/s]

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overall:   1%|          | 24/4000 [00:14<22:11,  2.99it/s]

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overall:   1%|          | 25/4000 [00:14<17:55,  3.70it/s]

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overall:   1%|          | 29/4000 [00:16<28:55,  2.29it/s]

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overall:   1%|          | 30/4000 [00:17<29:44,  2.23it/s]

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overall:   1%|          | 31/4000 [00:17<26:11,  2.53it/s]

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overall:   1%|          | 32/4000 [00:18<28:42,  2.30it/s]

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overall:   1%|          | 33/4000 [00:19<41:04,  1.61it/s]

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overall:   1%|          | 34/4000 [00:19<38:24,  1.72it/s]

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overall:   1%|          | 35/4000 [00:20<36:24,  1.82it/s]

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overall:   1%|          | 36/4000 [00:20<30:31,  2.16it/s]

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overall:   1%|          | 37/4000 [00:21<30:58,  2.13it/s]

train:   1%|          | 37/3515 [00:18<27:10,  2.13it/s]
overall:   1%|          | 38/4000 [00:21<31:07,  2.12it/s]

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overall:   1%|          | 39/4000 [00:21<31:46,  2.08it/s]

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overall:   1%|          | 40/4000 [00:22<31:34,  2.09it/s]

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overall:   1%|          | 48/4000 [00:25<29:33,  2.23it/s]

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overall:   1%|          | 49/4000 [00:26<30:20,  2.17it/s]

train:   1%|▏         | 49/3515 [00:23<26:37,  2.17it/s]
overall:   1%|▏         | 50/4000 [00:26<30:08,  2.18it/s]

train:   1%|▏         | 50/3515 [00:23<26:26,  2.18it/s]
overall:   1%|▏         | 51/4000 [00:27<29:26,  2.24it/s]

train:   1%|▏         | 51/3515 [00:24<25:49,  2.24it/s]
overall:   1%|▏         | 52/4000 [00:27<29:30,  2.23it/s]

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overall:   1%|▏         | 53/4000 [00:28<30:18,  2.17it/s]

train:   2%|▏         | 53/3515 [00:25<26:34,  2.17it/s]
overall:   1%|▏         | 54/4000 [00:28<30:07,  2.18it/s]

train:   2%|▏         | 54/3515 [00:25<26:25,  2.18it/s]
overall:   1%|▏         | 55/4000 [00:28<28:03,  2.34it/s]

train:   2%|▏         | 55/3515 [00:26<24:36,  2.34it/s]
overall:   1%|▏         | 56/4000 [00:29<27:01,  2.43it/s]

train:   2%|▏         | 56/3515 [00:26<23:42,  2.43it/s]
overall:   1%|▏         | 57/4000 [00:29<33:19,  1.97it/s]

train:   2%|▏         | 57/3515 [00:27<29:13,  1.97it/s]
overall:   1%|▏         | 58/4000 [00:30<32:51,  2.00it/s]

train:   2%|▏         | 58/3515 [00:27<28:49,  2.00it/s]
overall:   1%|▏         | 59/4000 [00:30<32:20,  2.03it/s]

train:   2%|▏         | 59/3515 [00:28<28:21,  2.03it/s]
overall:   2%|▏         | 60/4000 [00:31<32:23,  2.03it/s]

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overall:   2%|▏         | 61/4000 [00:31<32:04,  2.05it/s]

train:   2%|▏         | 61/3515 [00:29<28:07,  2.05it/s]
overall:   2%|▏         | 62/4000 [00:32<31:40,  2.07it/s]

train:   2%|▏         | 62/3515 [00:29<27:46,  2.07it/s]
overall:   2%|▏         | 63/4000 [00:32<31:10,  2.10it/s]

train:   2%|▏         | 63/3515 [00:30<27:20,  2.10it/s]
overall:   2%|▏         | 64/4000 [00:33<30:02,  2.18it/s]

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overall:   2%|▏         | 65/4000 [00:33<30:57,  2.12it/s]

train:   2%|▏         | 65/3515 [00:30<27:08,  2.12it/s]
overall:   2%|▏         | 66/4000 [00:34<29:43,  2.21it/s]

train:   2%|▏         | 66/3515 [00:31<26:03,  2.21it/s]
overall:   2%|▏         | 67/4000 [00:34<29:15,  2.24it/s]

train:   2%|▏         | 67/3515 [00:31<25:39,  2.24it/s]
overall:   2%|▏         | 68/4000 [00:35<29:18,  2.24it/s]

train:   2%|▏         | 68/3515 [00:32<25:41,  2.24it/s]
overall:   2%|▏         | 69/4000 [00:35<29:41,  2.21it/s]

train:   2%|▏         | 69/3515 [00:32<26:01,  2.21it/s]
overall:   2%|▏         | 70/4000 [00:35<28:53,  2.27it/s]

train:   2%|▏         | 70/3515 [00:33<25:19,  2.27it/s]
overall:   2%|▏         | 71/4000 [00:36<23:16,  2.81it/s]

train:   2%|▏         | 71/3515 [00:33<20:23,  2.81it/s]
overall:   2%|▏         | 72/4000 [00:36<25:28,  2.57it/s]

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overall:   2%|▏         | 73/4000 [00:36<26:57,  2.43it/s]

train:   2%|▏         | 73/3515 [00:34<23:37,  2.43it/s]
overall:   2%|▏         | 74/4000 [00:37<27:58,  2.34it/s]

train:   2%|▏         | 74/3515 [00:34<24:31,  2.34it/s]
overall:   2%|▏         | 75/4000 [00:37<28:31,  2.29it/s]

train:   2%|▏         | 75/3515 [00:35<24:59,  2.29it/s]
overall:   2%|▏         | 76/4000 [00:38<29:25,  2.22it/s]

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overall:   2%|▏         | 87/4000 [00:43<31:13,  2.09it/s]

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overall:   2%|▏         | 88/4000 [00:43<30:58,  2.11it/s]

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train:   4%|▍         | 136/3515 [01:03<26:59,  2.09it/s]
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train:   4%|▍         | 147/3515 [01:07<24:38,  2.28it/s]
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train:   4%|▍         | 148/3515 [01:08<25:01,  2.24it/s]
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train:   4%|▍         | 149/3515 [01:08<25:17,  2.22it/s]
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train:   4%|▍         | 150/3515 [01:09<25:20,  2.21it/s]
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train:   4%|▍         | 151/3515 [01:09<25:58,  2.16it/s]
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train:   4%|▍         | 152/3515 [01:10<26:12,  2.14it/s]
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train:   4%|▍         | 153/3515 [01:11<30:48,  1.82it/s]
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train:   4%|▍         | 156/3515 [01:12<27:34,  2.03it/s]
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train:   4%|▍         | 157/3515 [01:12<27:05,  2.07it/s]
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train:   4%|▍         | 158/3515 [01:13<26:45,  2.09it/s]
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train:   5%|▍         | 159/3515 [01:13<26:49,  2.08it/s]
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train:   5%|▍         | 160/3515 [01:14<22:24,  2.50it/s]
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train:   5%|▍         | 163/3515 [01:15<24:29,  2.28it/s]
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train:   5%|▍         | 164/3515 [01:15<25:16,  2.21it/s]
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train:   5%|▍         | 165/3515 [01:16<25:35,  2.18it/s]
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train:   5%|▍         | 166/3515 [01:16<26:57,  2.07it/s]
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train:   5%|▍         | 168/3515 [01:17<24:25,  2.28it/s]
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train:   5%|▍         | 169/3515 [01:18<24:31,  2.27it/s]
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train:   5%|▍         | 170/3515 [01:18<24:44,  2.25it/s]
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train:   5%|▍         | 171/3515 [01:19<25:12,  2.21it/s]
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train:   5%|▍         | 172/3515 [01:19<25:40,  2.17it/s]
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train:   5%|▍         | 173/3515 [01:19<22:03,  2.52it/s]
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train:   5%|▍         | 174/3515 [01:20<23:26,  2.38it/s]
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train:   5%|▍         | 175/3515 [01:20<24:38,  2.26it/s]
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train:   5%|▌         | 176/3515 [01:21<25:11,  2.21it/s]
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train:   5%|▌         | 177/3515 [01:21<29:53,  1.86it/s]
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train:   5%|▌         | 178/3515 [01:22<28:32,  1.95it/s]
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train:   5%|▌         | 179/3515 [01:22<27:27,  2.02it/s]
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train:   5%|▌         | 180/3515 [01:23<27:36,  2.01it/s]
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train:   5%|▌         | 181/3515 [01:23<27:06,  2.05it/s]
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train:   5%|▌         | 182/3515 [01:24<27:11,  2.04it/s]
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train:   5%|▌         | 183/3515 [01:24<27:11,  2.04it/s]
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train:   5%|▌         | 184/3515 [01:25<25:40,  2.16it/s]
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train:   5%|▌         | 185/3515 [01:25<25:01,  2.22it/s]
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train:   5%|▌         | 187/3515 [01:26<24:08,  2.30it/s]
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train:   5%|▌         | 188/3515 [01:26<22:55,  2.42it/s]
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train:   5%|▌         | 189/3515 [01:27<23:32,  2.35it/s]
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train:   5%|▌         | 190/3515 [01:27<24:11,  2.29it/s]
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train:   5%|▌         | 191/3515 [01:28<23:52,  2.32it/s]
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train:   6%|▌         | 210/3515 [01:36<23:11,  2.38it/s]
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train:   6%|▋         | 221/3515 [01:41<23:36,  2.33it/s]
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train:   6%|▋         | 223/3515 [01:42<24:48,  2.21it/s]
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train:   6%|▋         | 224/3515 [01:42<24:35,  2.23it/s]
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train:   6%|▋         | 225/3515 [01:43<29:22,  1.87it/s]
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train:   6%|▋         | 227/3515 [01:44<27:02,  2.03it/s]
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train:   7%|▋         | 229/3515 [01:45<22:10,  2.47it/s]
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train:   7%|▋         | 230/3515 [01:45<23:47,  2.30it/s]
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overall:   6%|▋         | 259/4000 [02:01<29:37,  2.10it/s]

train:   7%|▋         | 259/3515 [01:58<25:47,  2.10it/s]
overall:   6%|▋         | 260/4000 [02:02<30:02,  2.08it/s]

train:   7%|▋         | 260/3515 [01:59<26:08,  2.08it/s]
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train:   7%|▋         | 263/3515 [02:00<26:22,  2.05it/s]
overall:   7%|▋         | 264/4000 [02:04<30:12,  2.06it/s]

train:   8%|▊         | 264/3515 [02:01<26:16,  2.06it/s]
overall:   7%|▋         | 265/4000 [02:04<29:04,  2.14it/s]

train:   8%|▊         | 265/3515 [02:01<25:17,  2.14it/s]
overall:   7%|▋         | 266/4000 [02:05<29:03,  2.14it/s]

train:   8%|▊         | 266/3515 [02:02<25:16,  2.14it/s]
overall:   7%|▋         | 267/4000 [02:05<28:43,  2.17it/s]

train:   8%|▊         | 267/3515 [02:02<24:59,  2.17it/s]
overall:   7%|▋         | 268/4000 [02:05<27:56,  2.23it/s]

train:   8%|▊         | 268/3515 [02:03<24:18,  2.23it/s]
overall:   7%|▋         | 269/4000 [02:06<26:30,  2.35it/s]

train:   8%|▊         | 269/3515 [02:03<23:04,  2.35it/s]
overall:   7%|▋         | 270/4000 [02:06<26:15,  2.37it/s]

train:   8%|▊         | 270/3515 [02:03<22:50,  2.37it/s]
overall:   7%|▋         | 271/4000 [02:07<27:37,  2.25it/s]

train:   8%|▊         | 271/3515 [02:04<24:01,  2.25it/s]
overall:   7%|▋         | 272/4000 [02:07<28:33,  2.18it/s]

train:   8%|▊         | 272/3515 [02:04<24:50,  2.18it/s]
overall:   7%|▋         | 273/4000 [02:08<33:28,  1.86it/s]

train:   8%|▊         | 273/3515 [02:05<29:06,  1.86it/s]
overall:   7%|▋         | 274/4000 [02:08<32:45,  1.90it/s]

train:   8%|▊         | 274/3515 [02:06<28:29,  1.90it/s]
overall:   7%|▋         | 275/4000 [02:09<32:35,  1.90it/s]

train:   8%|▊         | 275/3515 [02:06<28:21,  1.90it/s]
overall:   7%|▋         | 276/4000 [02:09<31:53,  1.95it/s]

train:   8%|▊         | 276/3515 [02:07<27:43,  1.95it/s]
overall:   7%|▋         | 277/4000 [02:10<30:22,  2.04it/s]

train:   8%|▊         | 277/3515 [02:07<26:25,  2.04it/s]
overall:   7%|▋         | 278/4000 [02:10<28:56,  2.14it/s]

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overall:   7%|▋         | 279/4000 [02:11<28:53,  2.15it/s]

train:   8%|▊         | 279/3515 [02:08<25:07,  2.15it/s]
overall:   7%|▋         | 280/4000 [02:11<29:21,  2.11it/s]

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overall:   7%|▋         | 281/4000 [02:12<29:32,  2.10it/s]

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train:   8%|▊         | 283/3515 [02:10<22:01,  2.45it/s]
overall:   7%|▋         | 284/4000 [02:13<26:44,  2.32it/s]

train:   8%|▊         | 284/3515 [02:10<23:15,  2.32it/s]
overall:   7%|▋         | 285/4000 [02:13<27:37,  2.24it/s]

train:   8%|▊         | 285/3515 [02:11<24:01,  2.24it/s]
overall:   7%|▋         | 286/4000 [02:14<29:52,  2.07it/s]

train:   8%|▊         | 286/3515 [02:11<25:58,  2.07it/s]
overall:   7%|▋         | 287/4000 [02:14<28:41,  2.16it/s]

train:   8%|▊         | 287/3515 [02:12<24:56,  2.16it/s]
overall:   7%|▋         | 288/4000 [02:15<27:40,  2.24it/s]

train:   8%|▊         | 288/3515 [02:12<24:03,  2.24it/s]
overall:   7%|▋         | 289/4000 [02:15<28:11,  2.19it/s]

train:   8%|▊         | 289/3515 [02:12<24:30,  2.19it/s]
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overall:   7%|▋         | 291/4000 [02:16<29:01,  2.13it/s]

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train:   8%|▊         | 294/3515 [02:15<25:04,  2.14it/s]
overall:   7%|▋         | 295/4000 [02:18<29:13,  2.11it/s]

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overall:   7%|▋         | 296/4000 [02:19<29:31,  2.09it/s]

train:   8%|▊         | 296/3515 [02:16<25:39,  2.09it/s]
overall:   7%|▋         | 297/4000 [02:19<35:02,  1.76it/s]

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overall:   7%|▋         | 298/4000 [02:20<33:44,  1.83it/s]

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overall:   7%|▋         | 299/4000 [02:20<30:26,  2.03it/s]

train:   9%|▊         | 299/3515 [02:17<26:26,  2.03it/s]
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overall:  12%|█▏        | 478/4000 [03:41<27:07,  2.16it/s]

train:  14%|█▎        | 478/3515 [03:39<23:23,  2.16it/s]
overall:  12%|█▏        | 479/4000 [03:42<27:30,  2.13it/s]

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overall:  12%|█▏        | 480/4000 [03:42<23:25,  2.51it/s]

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overall:  12%|█▏        | 481/4000 [03:43<24:41,  2.38it/s]

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overall:  12%|█▏        | 482/4000 [03:43<25:21,  2.31it/s]

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overall:  12%|█▏        | 483/4000 [03:44<25:25,  2.31it/s]

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overall:  12%|█▏        | 484/4000 [03:44<20:39,  2.84it/s]

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overall:  12%|█▏        | 485/4000 [03:44<22:48,  2.57it/s]

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overall:  12%|█▏        | 486/4000 [03:45<24:15,  2.41it/s]

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overall:  12%|█▏        | 487/4000 [03:45<25:15,  2.32it/s]

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overall:  12%|█▏        | 488/4000 [03:46<26:05,  2.24it/s]

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overall:  12%|█▏        | 489/4000 [03:46<32:00,  1.83it/s]

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overall:  12%|█▏        | 490/4000 [03:47<29:27,  1.99it/s]

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overall:  12%|█▏        | 491/4000 [03:47<25:14,  2.32it/s]

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overall:  12%|█▏        | 492/4000 [03:47<20:35,  2.84it/s]

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overall:  12%|█▏        | 493/4000 [03:48<22:36,  2.59it/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<24:46,  2.36it/s]

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overall:  12%|█▏        | 496/4000 [03:49<25:42,  2.27it/s]

train:  14%|█▍        | 496/3515 [03:46<22:08,  2.27it/s]
overall:  12%|█▏        | 497/4000 [03:49<24:09,  2.42it/s]

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overall:  12%|█▏        | 498/4000 [03:50<24:57,  2.34it/s]

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overall:  12%|█▏        | 499/4000 [03:50<21:23,  2.73it/s]

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overall:  12%|█▎        | 500/4000 [03:51<23:05,  2.53it/s]

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overall:  13%|█▎        | 501/4000 [03:51<24:29,  2.38it/s]

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overall:  13%|█▎        | 502/4000 [03:52<25:52,  2.25it/s]

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overall:  13%|█▎        | 503/4000 [03:52<25:43,  2.27it/s]

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overall:  13%|█▎        | 504/4000 [03:52<26:01,  2.24it/s]

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overall:  13%|█▎        | 505/4000 [03:53<26:16,  2.22it/s]

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overall:  13%|█▎        | 506/4000 [03:53<23:31,  2.47it/s]

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overall:  13%|█▎        | 507/4000 [03:54<23:58,  2.43it/s]

train:  14%|█▍        | 507/3515 [03:51<20:39,  2.43it/s]
overall:  13%|█▎        | 508/4000 [03:54<25:11,  2.31it/s]

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overall:  13%|█▎        | 509/4000 [03:55<26:17,  2.21it/s]

train:  14%|█▍        | 509/3515 [03:52<22:38,  2.21it/s]
overall:  13%|█▎        | 510/4000 [03:55<26:33,  2.19it/s]

train:  15%|█▍        | 510/3515 [03:52<22:52,  2.19it/s]
overall:  13%|█▎        | 511/4000 [03:56<26:55,  2.16it/s]

train:  15%|█▍        | 511/3515 [03:53<23:10,  2.16it/s]
overall:  13%|█▎        | 512/4000 [03:56<27:20,  2.13it/s]

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overall:  13%|█▎        | 513/4000 [03:57<31:36,  1.84it/s]

train:  15%|█▍        | 513/3515 [03:54<27:12,  1.84it/s]
overall:  13%|█▎        | 514/4000 [03:57<27:58,  2.08it/s]

train:  15%|█▍        | 514/3515 [03:54<24:04,  2.08it/s]
overall:  13%|█▎        | 515/4000 [03:57<22:28,  2.59it/s]

train:  15%|█▍        | 515/3515 [03:54<19:20,  2.59it/s]
overall:  13%|█▎        | 516/4000 [03:58<24:32,  2.37it/s]

train:  15%|█▍        | 516/3515 [03:55<21:07,  2.37it/s]
overall:  13%|█▎        | 517/4000 [03:58<26:02,  2.23it/s]

train:  15%|█▍        | 517/3515 [03:55<22:25,  2.23it/s]
overall:  13%|█▎        | 518/4000 [03:59<26:17,  2.21it/s]

train:  15%|█▍        | 518/3515 [03:56<22:38,  2.21it/s]
overall:  13%|█▎        | 519/4000 [03:59<26:59,  2.15it/s]

train:  15%|█▍        | 519/3515 [03:56<23:13,  2.15it/s]
overall:  13%|█▎        | 520/4000 [04:00<25:14,  2.30it/s]

train:  15%|█▍        | 520/3515 [03:57<21:43,  2.30it/s]
overall:  13%|█▎        | 521/4000 [04:00<20:30,  2.83it/s]

train:  15%|█▍        | 521/3515 [03:57<17:39,  2.83it/s]
overall:  13%|█▎        | 522/4000 [04:00<22:52,  2.53it/s]

train:  15%|█▍        | 522/3515 [03:57<19:40,  2.53it/s]
overall:  13%|█▎        | 523/4000 [04:01<24:30,  2.36it/s]

train:  15%|█▍        | 523/3515 [03:58<21:05,  2.36it/s]
overall:  13%|█▎        | 524/4000 [04:01<24:39,  2.35it/s]

train:  15%|█▍        | 524/3515 [03:58<21:12,  2.35it/s]
overall:  13%|█▎        | 525/4000 [04:02<24:59,  2.32it/s]

train:  15%|█▍        | 525/3515 [03:59<21:30,  2.32it/s]
overall:  13%|█▎        | 526/4000 [04:02<25:51,  2.24it/s]

train:  15%|█▍        | 526/3515 [03:59<22:14,  2.24it/s]
overall:  13%|█▎        | 527/4000 [04:03<26:35,  2.18it/s]

train:  15%|█▍        | 527/3515 [04:00<22:52,  2.18it/s]
overall:  13%|█▎        | 528/4000 [04:03<26:39,  2.17it/s]

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overall:  13%|█▎        | 529/4000 [04:04<27:00,  2.14it/s]

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overall:  13%|█▎        | 530/4000 [04:04<24:12,  2.39it/s]

train:  15%|█▌        | 530/3515 [04:01<20:49,  2.39it/s]
overall:  13%|█▎        | 531/4000 [04:04<25:17,  2.29it/s]

train:  15%|█▌        | 531/3515 [04:02<21:45,  2.29it/s]
overall:  13%|█▎        | 532/4000 [04:05<26:22,  2.19it/s]

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overall:  13%|█▎        | 533/4000 [04:05<25:50,  2.24it/s]

train:  15%|█▌        | 533/3515 [04:02<22:13,  2.24it/s]
overall:  13%|█▎        | 534/4000 [04:06<26:14,  2.20it/s]

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overall:  13%|█▎        | 535/4000 [04:06<26:56,  2.14it/s]

train:  15%|█▌        | 535/3515 [04:03<23:10,  2.14it/s]
overall:  13%|█▎        | 536/4000 [04:07<27:23,  2.11it/s]

train:  15%|█▌        | 536/3515 [04:04<23:33,  2.11it/s]
overall:  13%|█▎        | 537/4000 [04:07<32:07,  1.80it/s]

train:  15%|█▌        | 537/3515 [04:05<27:37,  1.80it/s]
overall:  13%|█▎        | 538/4000 [04:08<25:28,  2.26it/s]

train:  15%|█▌        | 538/3515 [04:05<21:54,  2.26it/s]
overall:  13%|█▎        | 539/4000 [04:08<19:34,  2.95it/s]

train:  15%|█▌        | 539/3515 [04:05<16:50,  2.95it/s]
overall:  14%|█▎        | 540/4000 [04:08<17:35,  3.28it/s]

train:  15%|█▌        | 540/3515 [04:05<15:07,  3.28it/s]
overall:  14%|█▎        | 541/4000 [04:08<14:09,  4.07it/s]

train:  15%|█▌        | 541/3515 [04:05<12:10,  4.07it/s]
overall:  14%|█▎        | 542/4000 [04:08<17:18,  3.33it/s]

train:  15%|█▌        | 542/3515 [04:06<14:52,  3.33it/s]
overall:  14%|█▎        | 543/4000 [04:09<18:34,  3.10it/s]

train:  15%|█▌        | 543/3515 [04:06<15:58,  3.10it/s]
overall:  14%|█▎        | 544/4000 [04:09<20:57,  2.75it/s]

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overall:  14%|█▎        | 545/4000 [04:10<23:15,  2.48it/s]

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overall:  14%|█▎        | 546/4000 [04:10<24:39,  2.33it/s]

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overall:  14%|█▎        | 547/4000 [04:11<25:38,  2.24it/s]

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overall:  14%|█▎        | 548/4000 [04:11<22:10,  2.59it/s]

train:  16%|█▌        | 548/3515 [04:08<19:03,  2.59it/s]
overall:  14%|█▎        | 549/4000 [04:12<23:53,  2.41it/s]

train:  16%|█▌        | 549/3515 [04:09<20:32,  2.41it/s]
overall:  14%|█▍        | 550/4000 [04:12<26:37,  2.16it/s]

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overall:  14%|█▍        | 551/4000 [04:13<26:57,  2.13it/s]

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overall:  14%|█▍        | 552/4000 [04:13<27:03,  2.12it/s]

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overall:  14%|█▍        | 553/4000 [04:13<25:29,  2.25it/s]

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overall:  14%|█▍        | 554/4000 [04:14<25:50,  2.22it/s]

train:  16%|█▌        | 554/3515 [04:11<22:12,  2.22it/s]
overall:  14%|█▍        | 555/4000 [04:14<26:00,  2.21it/s]

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overall:  14%|█▍        | 556/4000 [04:15<26:34,  2.16it/s]

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overall:  14%|█▍        | 557/4000 [04:15<27:11,  2.11it/s]

train:  16%|█▌        | 557/3515 [04:13<23:22,  2.11it/s]
overall:  14%|█▍        | 558/4000 [04:16<27:04,  2.12it/s]

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overall:  14%|█▍        | 559/4000 [04:16<24:55,  2.30it/s]

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overall:  14%|█▍        | 560/4000 [04:17<26:01,  2.20it/s]

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overall:  14%|█▍        | 561/4000 [04:17<32:09,  1.78it/s]

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overall:  14%|█▍        | 562/4000 [04:18<30:53,  1.85it/s]

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overall:  14%|█▍        | 563/4000 [04:18<30:12,  1.90it/s]

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overall:  14%|█▍        | 564/4000 [04:19<29:27,  1.94it/s]

train:  16%|█▌        | 564/3515 [04:16<25:17,  1.94it/s]
overall:  14%|█▍        | 565/4000 [04:19<28:36,  2.00it/s]

train:  16%|█▌        | 565/3515 [04:17<24:34,  2.00it/s]
overall:  14%|█▍        | 566/4000 [04:20<28:09,  2.03it/s]

train:  16%|█▌        | 566/3515 [04:17<24:10,  2.03it/s]
overall:  14%|█▍        | 567/4000 [04:20<27:39,  2.07it/s]

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overall:  14%|█▍        | 568/4000 [04:20<21:09,  2.70it/s]

train:  16%|█▌        | 568/3515 [04:18<18:10,  2.70it/s]
overall:  14%|█▍        | 569/4000 [04:21<23:19,  2.45it/s]

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overall:  14%|█▍        | 570/4000 [04:21<23:51,  2.40it/s]

train:  16%|█▌        | 570/3515 [04:19<20:28,  2.40it/s]
overall:  14%|█▍        | 571/4000 [04:22<25:23,  2.25it/s]

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overall:  14%|█▍        | 573/4000 [04:23<25:57,  2.20it/s]

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overall:  14%|█▍        | 575/4000 [04:23<22:48,  2.50it/s]

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train:  16%|█▋        | 579/3515 [04:22<21:14,  2.30it/s]
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overall:  15%|█▍        | 588/4000 [04:29<22:40,  2.51it/s]

train:  17%|█▋        | 588/3515 [04:26<19:26,  2.51it/s]
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train:  17%|█▋        | 589/3515 [04:27<20:20,  2.40it/s]
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train:  17%|█▋        | 590/3515 [04:27<21:04,  2.31it/s]
overall:  15%|█▍        | 591/4000 [04:30<22:29,  2.53it/s]

train:  17%|█▋        | 591/3515 [04:28<19:17,  2.53it/s]
overall:  15%|█▍        | 592/4000 [04:31<23:47,  2.39it/s]

train:  17%|█▋        | 592/3515 [04:28<20:23,  2.39it/s]
overall:  15%|█▍        | 593/4000 [04:31<24:39,  2.30it/s]

train:  17%|█▋        | 593/3515 [04:29<21:09,  2.30it/s]
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overall:  15%|█▍        | 595/4000 [04:32<25:00,  2.27it/s]

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overall:  16%|█▌        | 633/4000 [04:50<29:38,  1.89it/s]

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overall:  16%|█▋        | 658/4000 [05:01<25:21,  2.20it/s]

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overall:  16%|█▋        | 659/4000 [05:01<20:35,  2.70it/s]

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train:  28%|██▊       | 999/3515 [07:35<20:21,  2.06it/s]train loss: 8.118473052978516
train per: 0.9865033429797425
train loss: 5.968495845794678
train per: 0.9013991202501458
train loss: 4.685272216796875
train per: 0.8957095363995707
train loss: 4.23764705657959
train per: 0.8973972783723081
train loss: 4.426775932312012
train per: 0.8632703330017526
train loss: 4.115143775939941
train per: 0.8863782447466008
train loss: 4.059655666351318
train per: 0.8585362557159912
train loss: 4.125328063964844
train per: 0.8718206747339555
train loss: 4.002337455749512
train per: 0.8747557501706806
train loss: 3.9154293537139893
train per: 0.8802027817496425
train loss: 4.146797180175781
train per: 0.9068494489651296
train loss: 4.52134370803833
train per: 0.8859986994147366
train loss: 3.9469051361083984
train per: 0.8705999582879522
train loss: 4.088103771209717
train per: 0.8636430642228883
train loss: 3.9222729206085205
train per: 0.8884060406712924
train loss: 3.9310684204101562
train per: 0.8922563118410887
train loss: 4.100391387939453
train per: 0.855505000450491
train loss: 4.196649551391602
train per: 0.852517312371327
train loss: 3.9499306678771973
train per: 0.8734296048816854
train loss: 3.968003034591675
train per: 0.8716949692469799
train loss: 3.9560134410858154
train per: 0.8483339452909858
train loss: 3.978360414505005
train per: 0.8591074087862993
train loss: 4.5307440757751465
train per: 0.874393628887909
train loss: 4.288441181182861
train per: 0.8342310146777281
train loss: 4.351283073425293
train per: 0.863806595863611
train loss: 3.9689247608184814
train per: 0.8640844315868423
train loss: 4.370342254638672
train per: 0.8518618675464453
train loss: 4.19389533996582
train per: 0.8488405013769851
train loss: 4.4270920753479
train per: 0.8291114825768291
train loss: 4.068270206451416
train per: 0.8513853244644635
train loss: 3.9199814796447754
train per: 0.8516628631503372
train loss: 4.004035472869873
train per: 0.8477773673192956
train loss: 3.9695346355438232
train per: 0.8404295450544476
train loss: 4.240847587585449
train per: 0.8381113922642716
train loss: 4.103880405426025
train per: 0.8663256064426114
train loss: 4.141324996948242
train per: 0.8353178898751533
train loss: 4.1138200759887695
train per: 0.849216009164459
train loss: 3.963391065597534
train per: 0.8344207626504277
train loss: 4.128724575042725
train per: 0.8561737767546652
train loss: 4.132674217224121
train per: 0.8345464596673884
train loss: 4.0276408195495605
train per: 0.8368131071480354
train loss: 4.2263054847717285
train per: 0.843238195029726
train loss: 3.973459243774414
train per: 0.8403587443946189
train loss: 3.803845167160034
train per: 0.8428500301354787
train loss: 4.235499858856201
train per: 0.8411699750905216
train loss: 3.9517064094543457
train per: 0.8360774335179364
train loss: 3.906717300415039
train per: 0.8364658190528838
train loss: 4.240421295166016
train per: 0.8389974616161865
train loss: 3.9650332927703857
train per: 0.8392697333094684
train loss: 4.030333042144775
train per: 0.83803705874397
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 561/2703 [00:00<00:00, 5608.59it/s]


word -> phonemes:  44%|████▎     | 1177/2703 [00:00<00:00, 5931.67it/s]


word -> phonemes:  66%|██████▌   | 1771/2703 [00:00<00:00, 5263.03it/s]


word -> phonemes:  85%|████████▌ | 2306/2703 [00:00<00:00, 5164.65it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5272.98it/s]



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train:  56%|█████▌    | 1959/3515 [17:31<11:39,  2.22it/s]
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train:  56%|█████▌    | 1960/3515 [17:31<09:55,  2.61it/s]
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train:  56%|█████▌    | 1962/3515 [17:32<11:35,  2.23it/s]
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train:  56%|█████▌    | 1963/3515 [17:33<11:47,  2.19it/s]
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train:  56%|█████▌    | 1964/3515 [17:33<11:57,  2.16it/s]
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train:  56%|█████▌    | 1965/3515 [17:33<11:41,  2.21it/s]
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train:  56%|█████▌    | 1966/3515 [17:34<11:48,  2.19it/s]
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train:  56%|█████▌    | 1967/3515 [17:34<12:11,  2.12it/s]
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train:  56%|█████▌    | 1968/3515 [17:35<12:19,  2.09it/s]
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train:  56%|█████▌    | 1969/3515 [17:35<12:27,  2.07it/s]
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train:  56%|█████▌    | 1970/3515 [17:36<12:29,  2.06it/s]
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train:  56%|█████▌    | 1971/3515 [17:36<12:22,  2.08it/s]
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train:  56%|█████▌    | 1977/3515 [17:39<11:37,  2.20it/s]
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train:  56%|█████▋    | 1978/3515 [17:40<11:49,  2.16it/s]
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train:  56%|█████▋    | 1979/3515 [17:40<12:12,  2.10it/s]
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train:  56%|█████▋    | 1980/3515 [17:41<12:21,  2.07it/s]
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train:  56%|█████▋    | 1981/3515 [17:41<09:30,  2.69it/s]
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train:  56%|█████▋    | 1982/3515 [17:41<10:29,  2.44it/s]
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train:  56%|█████▋    | 1983/3515 [17:42<10:28,  2.44it/s]
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train:  56%|█████▋    | 1984/3515 [17:42<10:51,  2.35it/s]
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train:  56%|█████▋    | 1985/3515 [17:43<11:24,  2.23it/s]
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train:  57%|█████▋    | 1986/3515 [17:43<09:38,  2.64it/s]
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train:  57%|█████▋    | 1987/3515 [17:43<10:15,  2.48it/s]
overall:  50%|████▉     | 1988/4000 [17:47<14:21,  2.34it/s]

train:  57%|█████▋    | 1988/3515 [17:44<10:53,  2.34it/s]
overall:  50%|████▉     | 1989/4000 [17:47<14:51,  2.25it/s]

train:  57%|█████▋    | 1989/3515 [17:44<11:16,  2.25it/s]
overall:  50%|████▉     | 1990/4000 [17:48<15:27,  2.17it/s]

train:  57%|█████▋    | 1990/3515 [17:45<11:43,  2.17it/s]
overall:  50%|████▉     | 1991/4000 [17:48<15:47,  2.12it/s]

train:  57%|█████▋    | 1991/3515 [17:45<11:58,  2.12it/s]
overall:  50%|████▉     | 1992/4000 [17:49<15:49,  2.11it/s]

train:  57%|█████▋    | 1992/3515 [17:46<12:00,  2.11it/s]
overall:  50%|████▉     | 1993/4000 [17:49<16:05,  2.08it/s]

train:  57%|█████▋    | 1993/3515 [17:46<12:11,  2.08it/s]
overall:  50%|████▉     | 1994/4000 [17:50<16:18,  2.05it/s]

train:  57%|█████▋    | 1994/3515 [17:47<12:21,  2.05it/s]
overall:  50%|████▉     | 1995/4000 [17:50<16:22,  2.04it/s]

train:  57%|█████▋    | 1995/3515 [17:47<12:24,  2.04it/s]
overall:  50%|████▉     | 1996/4000 [17:50<15:46,  2.12it/s]

train:  57%|█████▋    | 1996/3515 [17:48<11:57,  2.12it/s]
overall:  50%|████▉     | 1997/4000 [17:51<15:42,  2.12it/s]

train:  57%|█████▋    | 1997/3515 [17:48<11:54,  2.12it/s]
overall:  50%|████▉     | 1998/4000 [17:51<15:48,  2.11it/s]

train:  57%|█████▋    | 1998/3515 [17:49<11:59,  2.11it/s]
overall:  50%|████▉     | 1999/4000 [17:52<16:05,  2.07it/s]

train:  57%|█████▋    | 1999/3515 [17:49<12:11,  2.07it/s]dev loss: 5.069942951202393
dev per: 0.8838605619146722
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 4.172186851501465
train per: 0.8551319648093841
train loss: 3.9739315509796143
train per: 0.836230168126924
train loss: 3.981369733810425
train per: 0.8324991429550909
train loss: 3.8925368785858154
train per: 0.856497147232445
train loss: 4.0647382736206055
train per: 0.8335979018565809
train loss: 3.9844181537628174
train per: 0.842831541218638
train loss: 4.050511837005615
train per: 0.8327111467441686
train loss: 3.9559104442596436
train per: 0.8406482106684673
train loss: 4.490941047668457
train per: 0.8529307805596466
train loss: 4.01071834564209
train per: 0.8364267780463196
train loss: 3.87359619140625
train per: 0.8424288477479966
train loss: 3.9074923992156982
train per: 0.8396541413335992
train loss: 4.073966026306152
train per: 0.8443990378397952
train loss: 4.070257186889648
train per: 0.8415544831089662
train loss: 3.9872288703918457
train per: 0.8548324429334628
train loss: 3.881826877593994
train per: 0.8398247322297955
train loss: 3.9203388690948486
train per: 0.8339434195534654
train loss: 3.855700731277466
train per: 0.8311935218871025
train loss: 3.87278413772583
train per: 0.8367683018114677
train loss: 3.901299238204956
train per: 0.8452683842600598
train loss: 4.10386323928833
train per: 0.8447783466694111
train loss: 4.099740028381348
train per: 0.842657693852953
train loss: 3.8119149208068848
train per: 0.839609283125735
train loss: 3.991806745529175
train per: 0.8349677389299108
train loss: 3.82716703414917
train per: 0.8412710625528969
train loss: 4.014682769775391
train per: 0.8525368856809256
train loss: 3.8082053661346436
train per: 0.8471014101248041
train loss: 3.9303131103515625
train per: 0.8377658953463937
train loss: 4.123210430145264
train per: 0.8418473636336962
train loss: 3.878710985183716
train per: 0.833001848515338
train loss: 4.236973762512207
train per: 0.8402934254669271
train loss: 3.9789435863494873
train per: 0.8628736791801624
train loss: 4.111845016479492
train per: 0.8298010380622838
train loss: 3.9391415119171143
train per: 0.8365115506854514
train loss: 4.083683967590332
train per: 0.8273082499815684
train loss: 3.910649061203003
train per: 0.83874018726946
train loss: 3.874354124069214
train per: 0.831970506215437
train loss: 4.051117897033691
train per: 0.8422402297671556
train loss: 3.9422569274902344
train per: 0.8303014266499085
train loss: 4.058772087097168
train per: 0.8323356093910766
train loss: 3.8947880268096924
train per: 0.8377625678546141
train loss: 4.040280818939209
train per: 0.8372802938160311
train loss: 3.881139039993286
train per: 0.8227516191927567
train loss: 3.9550273418426514
train per: 0.8521756164450648
train loss: 3.898730754852295
train per: 0.8314091106709821
train loss: 4.06128454208374
train per: 0.8359773633917803
train loss: 3.9619927406311035
train per: 0.8492692213215426
train loss: 3.9181571006774902
train per: 0.8463355264743451
train loss: 4.167078018188477
train per: 0.8463396845655939
train loss: 4.079211235046387
train per: 0.8357054302008431
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  16%|█▌        | 425/2703 [00:00<00:00, 4242.36it/s]


word -> phonemes:  37%|███▋      | 991/2703 [00:00<00:00, 5074.09it/s]


word -> phonemes:  58%|█████▊    | 1565/2703 [00:00<00:00, 5377.31it/s]


word -> phonemes:  79%|███████▉  | 2142/2703 [00:00<00:00, 5530.62it/s]


word -> phonemes: 100%|█████████▉| 2696/2703 [00:00<00:00, 5320.74it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5269.21it/s]



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train:  84%|████████▍ | 2962/3515 [27:42<03:53,  2.37it/s]
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train:  84%|████████▍ | 2965/3515 [27:43<04:13,  2.17it/s]
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overall:  75%|███████▍  | 2992/4000 [27:58<07:24,  2.27it/s]

train:  85%|████████▌ | 2992/3515 [27:56<03:50,  2.27it/s]
overall:  75%|███████▍  | 2993/4000 [27:59<06:59,  2.40it/s]

train:  85%|████████▌ | 2993/3515 [27:56<03:37,  2.40it/s]
overall:  75%|███████▍  | 2994/4000 [27:59<07:04,  2.37it/s]

train:  85%|████████▌ | 2994/3515 [27:56<03:39,  2.37it/s]
overall:  75%|███████▍  | 2995/4000 [28:00<07:26,  2.25it/s]

train:  85%|████████▌ | 2995/3515 [27:57<03:51,  2.25it/s]
overall:  75%|███████▍  | 2996/4000 [28:00<09:10,  1.82it/s]

train:  85%|████████▌ | 2996/3515 [27:58<04:44,  1.82it/s]
overall:  75%|███████▍  | 2997/4000 [28:01<07:15,  2.30it/s]

train:  85%|████████▌ | 2997/3515 [27:58<03:44,  2.30it/s]
overall:  75%|███████▍  | 2998/4000 [28:01<06:15,  2.67it/s]

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overall:  75%|███████▍  | 2999/4000 [28:01<06:40,  2.50it/s]

train:  85%|████████▌ | 2999/3515 [27:59<03:26,  2.50it/s]dev loss: 4.919192314147949
dev per: 0.8579084287200832
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 3.819648265838623
train per: 0.8268085205015877
train loss: 4.156708240509033
train per: 0.8416899596804116
train loss: 3.8018126487731934
train per: 0.8408776644316314
train loss: 4.465647220611572
train per: 0.8514517427103324
train loss: 3.961662769317627
train per: 0.8324110870768148
train loss: 4.117403984069824
train per: 0.8458559852292543
train loss: 4.21384334564209
train per: 0.8463521667580911
train loss: 4.009247303009033
train per: 0.8273361437318076
train loss: 3.983729600906372
train per: 0.8402190144350423
train loss: 3.846950054168701
train per: 0.8356474086452216
train loss: 3.9592597484588623
train per: 0.838556529205283
train loss: 3.9732673168182373
train per: 0.8456282357888097
train loss: 3.9144701957702637
train per: 0.8312181864246724
train loss: 3.8834099769592285
train per: 0.845298409159996
train loss: 3.9839699268341064
train per: 0.8412694096211895
train loss: 3.9724879264831543
train per: 0.8364863428632161
train loss: 3.875986099243164
train per: 0.8365673336529484
train loss: 3.8756587505340576
train per: 0.8279875779342389
train loss: 4.055608749389648
train per: 0.8281845876114182
train loss: 4.125735282897949
train per: 0.8541481660881031
train loss: 4.127590179443359
train per: 0.8289671118982609
train loss: 3.9341468811035156
train per: 0.8486466580740195
train loss: 3.894362688064575
train per: 0.8222541406705867
train loss: 3.9091689586639404
train per: 0.8397051715804736
train loss: 4.18454647064209
train per: 0.8401354343013413
train loss: 3.917283296585083
train per: 0.8407986638323717
train loss: 3.9116032123565674
train per: 0.8322266288951842
train loss: 4.08712100982666
train per: 0.8407540066406964
train loss: 3.9685287475585938
train per: 0.8283683728301513
train loss: 3.8457694053649902
train per: 0.8544972182155368
train loss: 3.866466999053955
train per: 0.8358725918547529
train loss: 3.9257423877716064
train per: 0.8481184753580966
train loss: 3.891785144805908
train per: 0.8403701697788871
train loss: 3.9318203926086426
train per: 0.8427530496957127
train loss: 4.094050407409668
train per: 0.8343992517505499
train loss: 3.8310484886169434
train per: 0.8425220990240663
train loss: 4.137816905975342
train per: 0.8378586894303278
train loss: 3.8562488555908203
train per: 0.8456369396179322
train loss: 3.9164938926696777
train per: 0.8462164788695401
train loss: 3.8480591773986816
train per: 0.8458735099840559
train loss: 4.058549404144287
train per: 0.8259575874935059
train loss: 3.880582332611084
train per: 0.8401942645698427
train loss: 3.845360517501831
train per: 0.8435301815802388
train loss: 4.26496696472168
train per: 0.8412428230272851
train loss: 3.901181697845459
train per: 0.8312100268207139
train loss: 4.027017116546631
train per: 0.8350956696878147
train loss: 3.998116970062256
train per: 0.832343217916532
train loss: 3.861830472946167
train per: 0.8298001358300184
train loss: 4.059488773345947
train per: 0.840641019260439
train loss: 4.199237823486328
train per: 0.8411877639831051
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 515/2703 [00:00<00:00, 5147.27it/s]


word -> phonemes:  40%|████      | 1089/2703 [00:00<00:00, 5491.93it/s]


word -> phonemes:  61%|██████    | 1639/2703 [00:00<00:00, 5386.73it/s]


word -> phonemes:  82%|████████▏ | 2211/2703 [00:00<00:00, 5513.21it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5428.04it/s]



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train: 100%|█████████▉| 3502/3515 [34:18<00:05,  2.18it/s]
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train: 100%|█████████▉| 3503/3515 [34:18<00:05,  2.21it/s]
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train: 100%|█████████▉| 3505/3515 [34:19<00:04,  2.15it/s]
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train: 100%|█████████▉| 3506/3515 [34:19<00:04,  2.10it/s]
overall:  88%|████████▊ | 3507/4000 [34:23<03:57,  2.07it/s]

train: 100%|█████████▉| 3507/3515 [34:20<00:03,  2.07it/s]
overall:  88%|████████▊ | 3508/4000 [34:23<04:00,  2.05it/s]

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train: 100%|█████████▉| 3510/3515 [34:21<00:02,  2.12it/s]
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train: 100%|█████████▉| 3511/3515 [34:22<00:01,  2.18it/s]
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overall:  88%|████████▊ | 3515/4000 [34:27<03:52,  2.08it/s]

train: 100%|██████████| 3515/3515 [34:24<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 [34:24<00:00,  1.70it/s]
dev loss: 4.530886650085449
dev per: 0.8925182101977107
train loss: 3.95418119430542
train per: 0.8347577657797255
train loss: 3.822418212890625
train per: 0.8265841722240536
train loss: 3.830359935760498
train per: 0.842440416424457
train loss: 3.974825382232666
train per: 0.8448142896236037
train loss: 4.083913803100586
train per: 0.8307106096595408
train loss: 3.826310634613037
train per: 0.8341681790683606
train loss: 4.021252632141113
train per: 0.8433428338762216
train loss: 3.925549030303955
train per: 0.8500331615733892
train loss: 3.9201037883758545
train per: 0.8427115053621078
train loss: 4.179339408874512
train per: 0.8278205212511782
train loss: 4.021980285644531
train per: 0.8494237073067569
train loss: 3.929818630218506
train per: 0.831336242778941
train loss: 4.0342116355896
train per: 0.8283396048918156
train loss: 3.8074231147766113
train per: 0.8408131850632978
train loss: 4.031973838806152
train per: 0.833781452922078
train loss: 3.885650157928467
train per: 0.8432632346192263
train loss: 3.871279239654541
train per: 0.8383674101610905
train loss: 3.8635120391845703
train per: 0.823935638384449
train loss: 3.8920230865478516
train per: 0.8438583986695177
train loss: 4.003741264343262
train per: 0.8251489813831016
train loss: 3.865086078643799
train per: 0.8355358056861012
train loss: 4.001122951507568
train per: 0.8285673297628157
train loss: 3.980994462966919
train per: 0.8314243688360541
train loss: 3.937087297439575
train per: 0.8397726666310903
train loss: 4.1113200187683105
train per: 0.8433470105509965
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 454/3515 [00:00<00:00, 4530.89it/s]

word -> phonemes:  26%|██▋       | 925/3515 [00:00<00:00, 4631.85it/s]

word -> phonemes:  40%|███▉      | 1389/3515 [00:00<00:00, 4464.49it/s]

word -> phonemes:  53%|█████▎    | 1862/3515 [00:00<00:00, 4565.08it/s]

word -> phonemes:  66%|██████▌   | 2320/3515 [00:00<00:00, 4536.83it/s]

word -> phonemes:  79%|███████▉  | 2793/3515 [00:00<00:00, 4600.26it/s]

word -> phonemes:  93%|█████████▎| 3254/3515 [00:00<00:00, 4507.51it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4515.98it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [34:30<12:07,  1.50s/it]

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overall:  88%|████████▊ | 3518/4000 [34:31<07:18,  1.10it/s]

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overall:  88%|████████▊ | 3520/4000 [34:32<05:23,  1.49it/s]

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overall:  88%|████████▊ | 3521/4000 [34:32<04:41,  1.70it/s]

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overall:  88%|████████▊ | 3523/4000 [34:33<03:52,  2.05it/s]

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overall:  88%|████████▊ | 3524/4000 [34:34<03:56,  2.02it/s]

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overall:  88%|████████▊ | 3525/4000 [34:34<03:36,  2.20it/s]

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overall:  88%|████████▊ | 3527/4000 [34:35<03:16,  2.41it/s]

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overall:  88%|████████▊ | 3528/4000 [34:35<03:11,  2.46it/s]

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overall:  88%|████████▊ | 3529/4000 [34:36<03:24,  2.31it/s]

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overall:  88%|████████▊ | 3530/4000 [34:36<03:17,  2.37it/s]

train:   0%|          | 15/3515 [00:07<24:18,  2.40it/s]
overall:  88%|████████▊ | 3531/4000 [34:36<03:23,  2.30it/s]

train:   0%|          | 16/3515 [00:07<25:10,  2.32it/s]
overall:  88%|████████▊ | 3532/4000 [34:37<03:29,  2.23it/s]

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overall:  88%|████████▊ | 3533/4000 [34:37<03:20,  2.33it/s]

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overall:  88%|████████▊ | 3534/4000 [34:38<03:29,  2.23it/s]

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overall:  88%|████████▊ | 3535/4000 [34:38<03:36,  2.15it/s]

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overall:  88%|████████▊ | 3536/4000 [34:39<03:36,  2.15it/s]

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overall:  88%|████████▊ | 3537/4000 [34:39<02:55,  2.64it/s]

train:   1%|          | 22/3515 [00:10<21:59,  2.65it/s]
overall:  88%|████████▊ | 3538/4000 [34:39<03:06,  2.47it/s]

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overall:  88%|████████▊ | 3539/4000 [34:40<03:22,  2.28it/s]

train:   1%|          | 24/3515 [00:11<25:33,  2.28it/s]
overall:  88%|████████▊ | 3540/4000 [34:41<04:06,  1.86it/s]

train:   1%|          | 25/3515 [00:12<31:12,  1.86it/s]
overall:  89%|████████▊ | 3541/4000 [34:41<04:02,  1.89it/s]

train:   1%|          | 26/3515 [00:12<30:42,  1.89it/s]
overall:  89%|████████▊ | 3542/4000 [34:42<03:53,  1.96it/s]

train:   1%|          | 27/3515 [00:13<29:35,  1.96it/s]
overall:  89%|████████▊ | 3543/4000 [34:42<03:07,  2.44it/s]

train:   1%|          | 28/3515 [00:13<23:50,  2.44it/s]
overall:  89%|████████▊ | 3544/4000 [34:42<03:16,  2.32it/s]

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overall:  89%|████████▊ | 3545/4000 [34:42<02:40,  2.83it/s]

train:   1%|          | 30/3515 [00:13<20:31,  2.83it/s]
overall:  89%|████████▊ | 3546/4000 [34:43<03:01,  2.51it/s]

train:   1%|          | 31/3515 [00:14<23:09,  2.51it/s]
overall:  89%|████████▊ | 3547/4000 [34:43<03:14,  2.32it/s]

train:   1%|          | 32/3515 [00:14<24:58,  2.32it/s]
overall:  89%|████████▊ | 3548/4000 [34:44<03:21,  2.24it/s]

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overall:  89%|████████▊ | 3549/4000 [34:44<03:26,  2.19it/s]

train:   1%|          | 34/3515 [00:15<26:32,  2.19it/s]
overall:  89%|████████▉ | 3550/4000 [34:45<03:20,  2.25it/s]

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overall:  89%|████████▉ | 3551/4000 [34:45<03:26,  2.18it/s]

train:   1%|          | 36/3515 [00:16<26:37,  2.18it/s]
overall:  89%|████████▉ | 3552/4000 [34:46<03:27,  2.16it/s]

train:   1%|          | 37/3515 [00:17<26:51,  2.16it/s]
overall:  89%|████████▉ | 3553/4000 [34:46<03:31,  2.11it/s]

train:   1%|          | 38/3515 [00:17<27:24,  2.11it/s]
overall:  89%|████████▉ | 3554/4000 [34:47<03:34,  2.08it/s]

train:   1%|          | 39/3515 [00:18<27:48,  2.08it/s]
overall:  89%|████████▉ | 3555/4000 [34:47<02:53,  2.56it/s]

train:   1%|          | 40/3515 [00:18<22:35,  2.56it/s]
overall:  89%|████████▉ | 3556/4000 [34:47<03:03,  2.42it/s]

train:   1%|          | 41/3515 [00:18<23:54,  2.42it/s]
overall:  89%|████████▉ | 3557/4000 [34:48<03:11,  2.32it/s]

train:   1%|          | 42/3515 [00:19<25:00,  2.32it/s]
overall:  89%|████████▉ | 3558/4000 [34:48<03:16,  2.25it/s]

train:   1%|          | 43/3515 [00:19<25:42,  2.25it/s]
overall:  89%|████████▉ | 3559/4000 [34:49<02:50,  2.58it/s]

train:   1%|▏         | 44/3515 [00:20<22:24,  2.58it/s]
overall:  89%|████████▉ | 3560/4000 [34:49<03:05,  2.37it/s]

train:   1%|▏         | 45/3515 [00:20<24:23,  2.37it/s]
overall:  89%|████████▉ | 3561/4000 [34:50<03:14,  2.25it/s]

train:   1%|▏         | 46/3515 [00:21<25:38,  2.25it/s]
overall:  89%|████████▉ | 3562/4000 [34:50<03:21,  2.18it/s]

train:   1%|▏         | 47/3515 [00:21<26:32,  2.18it/s]
overall:  89%|████████▉ | 3563/4000 [34:50<02:55,  2.49it/s]

train:   1%|▏         | 48/3515 [00:21<23:14,  2.49it/s]
overall:  89%|████████▉ | 3564/4000 [34:51<03:34,  2.04it/s]

train:   1%|▏         | 49/3515 [00:22<28:22,  2.04it/s]
overall:  89%|████████▉ | 3565/4000 [34:51<03:00,  2.41it/s]

train:   1%|▏         | 50/3515 [00:22<23:58,  2.41it/s]
overall:  89%|████████▉ | 3566/4000 [34:52<03:11,  2.26it/s]

train:   1%|▏         | 51/3515 [00:23<25:29,  2.26it/s]
overall:  89%|████████▉ | 3567/4000 [34:52<03:10,  2.27it/s]

train:   1%|▏         | 52/3515 [00:23<25:26,  2.27it/s]
overall:  89%|████████▉ | 3568/4000 [34:52<02:35,  2.78it/s]

train:   2%|▏         | 53/3515 [00:23<20:47,  2.78it/s]
overall:  89%|████████▉ | 3569/4000 [34:53<02:50,  2.53it/s]

train:   2%|▏         | 54/3515 [00:24<22:46,  2.53it/s]
overall:  89%|████████▉ | 3570/4000 [34:53<02:59,  2.40it/s]

train:   2%|▏         | 55/3515 [00:24<24:00,  2.40it/s]
overall:  89%|████████▉ | 3571/4000 [34:54<03:08,  2.28it/s]

train:   2%|▏         | 56/3515 [00:25<25:15,  2.28it/s]
overall:  89%|████████▉ | 3572/4000 [34:54<03:17,  2.16it/s]

train:   2%|▏         | 57/3515 [00:25<26:37,  2.16it/s]
overall:  89%|████████▉ | 3573/4000 [34:55<03:20,  2.13it/s]

train:   2%|▏         | 58/3515 [00:26<27:04,  2.13it/s]
overall:  89%|████████▉ | 3574/4000 [34:55<03:23,  2.10it/s]

train:   2%|▏         | 59/3515 [00:26<27:28,  2.10it/s]
overall:  89%|████████▉ | 3575/4000 [34:56<03:22,  2.10it/s]

train:   2%|▏         | 60/3515 [00:27<27:23,  2.10it/s]
overall:  89%|████████▉ | 3576/4000 [34:57<03:50,  1.84it/s]

train:   2%|▏         | 61/3515 [00:28<31:20,  1.84it/s]
overall:  89%|████████▉ | 3577/4000 [34:57<03:37,  1.95it/s]

train:   2%|▏         | 62/3515 [00:28<29:33,  1.95it/s]
overall:  89%|████████▉ | 3578/4000 [34:58<03:34,  1.97it/s]

train:   2%|▏         | 63/3515 [00:28<29:14,  1.97it/s]
overall:  89%|████████▉ | 3579/4000 [34:58<03:33,  1.98it/s]

train:   2%|▏         | 64/3515 [00:29<29:06,  1.98it/s]
overall:  90%|████████▉ | 3580/4000 [34:59<03:31,  1.98it/s]

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overall:  90%|████████▉ | 3581/4000 [34:59<03:29,  2.00it/s]

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overall:  90%|████████▉ | 3582/4000 [35:00<03:31,  1.98it/s]

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overall:  90%|████████▉ | 3583/4000 [35:00<03:25,  2.03it/s]

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overall:  90%|████████▉ | 3584/4000 [35:00<02:51,  2.42it/s]

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overall:  90%|████████▉ | 3585/4000 [35:00<02:12,  3.13it/s]

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overall:  90%|████████▉ | 3587/4000 [35:01<02:44,  2.51it/s]

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overall:  90%|████████▉ | 3588/4000 [35:02<03:23,  2.03it/s]

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overall:  90%|████████▉ | 3592/4000 [35:04<03:03,  2.22it/s]

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overall:  90%|████████▉ | 3593/4000 [35:04<03:08,  2.15it/s]

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overall:  90%|████████▉ | 3594/4000 [35:05<03:08,  2.15it/s]

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overall:  90%|████████▉ | 3595/4000 [35:05<02:55,  2.31it/s]

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overall:  90%|████████▉ | 3596/4000 [35:06<02:54,  2.32it/s]

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overall:  90%|████████▉ | 3598/4000 [35:06<02:58,  2.25it/s]

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overall:  90%|████████▉ | 3599/4000 [35:07<02:49,  2.36it/s]

train:   2%|▏         | 84/3515 [00:38<24:12,  2.36it/s]
overall:  90%|█████████ | 3600/4000 [35:08<03:23,  1.96it/s]

train:   2%|▏         | 85/3515 [00:38<29:09,  1.96it/s]
overall:  90%|█████████ | 3601/4000 [35:08<03:21,  1.98it/s]

train:   2%|▏         | 86/3515 [00:39<28:47,  1.98it/s]
overall:  90%|█████████ | 3602/4000 [35:09<03:13,  2.06it/s]

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overall:  90%|█████████ | 3603/4000 [35:09<03:13,  2.06it/s]

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overall:  90%|█████████ | 3604/4000 [35:09<03:12,  2.06it/s]

train:   3%|▎         | 89/3515 [00:40<27:46,  2.06it/s]
overall:  90%|█████████ | 3605/4000 [35:10<02:28,  2.67it/s]

train:   3%|▎         | 90/3515 [00:41<21:23,  2.67it/s]
overall:  90%|█████████ | 3606/4000 [35:10<02:27,  2.67it/s]

train:   3%|▎         | 91/3515 [00:41<21:23,  2.67it/s]
overall:  90%|█████████ | 3607/4000 [35:10<02:39,  2.46it/s]

train:   3%|▎         | 92/3515 [00:41<23:11,  2.46it/s]
overall:  90%|█████████ | 3608/4000 [35:11<02:33,  2.55it/s]

train:   3%|▎         | 93/3515 [00:42<22:20,  2.55it/s]
overall:  90%|█████████ | 3609/4000 [35:11<02:39,  2.45it/s]

train:   3%|▎         | 94/3515 [00:42<23:14,  2.45it/s]
overall:  90%|█████████ | 3610/4000 [35:12<02:45,  2.35it/s]

train:   3%|▎         | 95/3515 [00:43<24:12,  2.35it/s]
overall:  90%|█████████ | 3611/4000 [35:12<02:51,  2.26it/s]

train:   3%|▎         | 96/3515 [00:43<25:10,  2.26it/s]
overall:  90%|█████████ | 3612/4000 [35:13<03:20,  1.94it/s]

train:   3%|▎         | 97/3515 [00:44<29:24,  1.94it/s]
overall:  90%|█████████ | 3613/4000 [35:13<03:10,  2.03it/s]

train:   3%|▎         | 98/3515 [00:44<28:03,  2.03it/s]
overall:  90%|█████████ | 3614/4000 [35:14<03:07,  2.06it/s]

train:   3%|▎         | 99/3515 [00:45<27:40,  2.06it/s]
overall:  90%|█████████ | 3615/4000 [35:14<03:07,  2.05it/s]

train:   3%|▎         | 100/3515 [00:45<27:45,  2.05it/s]
overall:  90%|█████████ | 3616/4000 [35:15<03:08,  2.03it/s]

train:   3%|▎         | 101/3515 [00:46<28:00,  2.03it/s]
overall:  90%|█████████ | 3617/4000 [35:15<03:05,  2.06it/s]

train:   3%|▎         | 102/3515 [00:46<27:36,  2.06it/s]
overall:  90%|█████████ | 3618/4000 [35:16<03:08,  2.02it/s]

train:   3%|▎         | 103/3515 [00:47<28:07,  2.02it/s]
overall:  90%|█████████ | 3619/4000 [35:16<03:07,  2.03it/s]

train:   3%|▎         | 104/3515 [00:47<27:59,  2.03it/s]
overall:  90%|█████████ | 3620/4000 [35:17<03:07,  2.03it/s]

train:   3%|▎         | 105/3515 [00:48<28:02,  2.03it/s]
overall:  91%|█████████ | 3621/4000 [35:17<03:08,  2.01it/s]

train:   3%|▎         | 106/3515 [00:48<28:15,  2.01it/s]
overall:  91%|█████████ | 3622/4000 [35:18<03:03,  2.05it/s]

train:   3%|▎         | 107/3515 [00:49<27:38,  2.05it/s]
overall:  91%|█████████ | 3623/4000 [35:18<03:02,  2.07it/s]

train:   3%|▎         | 108/3515 [00:49<27:26,  2.07it/s]
overall:  91%|█████████ | 3624/4000 [35:19<03:29,  1.80it/s]

train:   3%|▎         | 109/3515 [00:50<31:36,  1.80it/s]
overall:  91%|█████████ | 3625/4000 [35:19<03:21,  1.86it/s]

train:   3%|▎         | 110/3515 [00:50<30:33,  1.86it/s]
overall:  91%|█████████ | 3626/4000 [35:20<03:07,  1.99it/s]

train:   3%|▎         | 111/3515 [00:51<28:30,  1.99it/s]
overall:  91%|█████████ | 3627/4000 [35:20<03:06,  2.00it/s]

train:   3%|▎         | 112/3515 [00:51<28:20,  2.00it/s]
overall:  91%|█████████ | 3628/4000 [35:21<02:30,  2.48it/s]

train:   3%|▎         | 113/3515 [00:51<22:52,  2.48it/s]
overall:  91%|█████████ | 3629/4000 [35:21<02:38,  2.35it/s]

train:   3%|▎         | 114/3515 [00:52<24:10,  2.35it/s]
overall:  91%|█████████ | 3630/4000 [35:21<02:44,  2.24it/s]

train:   3%|▎         | 115/3515 [00:52<25:15,  2.24it/s]
overall:  91%|█████████ | 3631/4000 [35:22<02:42,  2.28it/s]

train:   3%|▎         | 116/3515 [00:53<24:52,  2.28it/s]
overall:  91%|█████████ | 3632/4000 [35:22<02:46,  2.21it/s]

train:   3%|▎         | 117/3515 [00:53<25:34,  2.21it/s]
overall:  91%|█████████ | 3633/4000 [35:23<02:51,  2.13it/s]

train:   3%|▎         | 118/3515 [00:54<26:31,  2.13it/s]
overall:  91%|█████████ | 3634/4000 [35:23<02:53,  2.11it/s]

train:   3%|▎         | 119/3515 [00:54<26:53,  2.11it/s]
overall:  91%|█████████ | 3635/4000 [35:24<02:53,  2.10it/s]

train:   3%|▎         | 120/3515 [00:55<26:53,  2.10it/s]
overall:  91%|█████████ | 3636/4000 [35:25<03:18,  1.83it/s]

train:   3%|▎         | 121/3515 [00:55<30:50,  1.83it/s]
overall:  91%|█████████ | 3637/4000 [35:25<03:15,  1.86it/s]

train:   3%|▎         | 122/3515 [00:56<30:23,  1.86it/s]
overall:  91%|█████████ | 3638/4000 [35:26<03:07,  1.93it/s]

train:   3%|▎         | 123/3515 [00:56<29:14,  1.93it/s]
overall:  91%|█████████ | 3639/4000 [35:26<03:04,  1.95it/s]

train:   4%|▎         | 124/3515 [00:57<28:55,  1.95it/s]
overall:  91%|█████████ | 3640/4000 [35:27<03:01,  1.98it/s]

train:   4%|▎         | 125/3515 [00:57<28:33,  1.98it/s]
overall:  91%|█████████ | 3641/4000 [35:27<03:00,  1.99it/s]

train:   4%|▎         | 126/3515 [00:58<28:22,  1.99it/s]
overall:  91%|█████████ | 3642/4000 [35:28<02:59,  1.99it/s]

train:   4%|▎         | 127/3515 [00:58<28:22,  1.99it/s]
overall:  91%|█████████ | 3643/4000 [35:28<02:58,  2.01it/s]

train:   4%|▎         | 128/3515 [00:59<28:08,  2.01it/s]
overall:  91%|█████████ | 3644/4000 [35:29<02:54,  2.05it/s]

train:   4%|▎         | 129/3515 [00:59<27:35,  2.05it/s]
overall:  91%|█████████ | 3645/4000 [35:29<02:53,  2.05it/s]

train:   4%|▎         | 130/3515 [01:00<27:30,  2.05it/s]
overall:  91%|█████████ | 3646/4000 [35:29<02:53,  2.04it/s]

train:   4%|▎         | 131/3515 [01:00<27:40,  2.04it/s]
overall:  91%|█████████ | 3647/4000 [35:30<02:33,  2.30it/s]

train:   4%|▍         | 132/3515 [01:01<24:28,  2.30it/s]
overall:  91%|█████████ | 3648/4000 [35:30<02:35,  2.26it/s]

train:   4%|▍         | 133/3515 [01:01<24:56,  2.26it/s]
overall:  91%|█████████ | 3649/4000 [35:31<02:38,  2.22it/s]

train:   4%|▍         | 134/3515 [01:02<25:22,  2.22it/s]
overall:  91%|█████████▏| 3650/4000 [35:31<02:27,  2.37it/s]

train:   4%|▍         | 135/3515 [01:02<23:44,  2.37it/s]
overall:  91%|█████████▏| 3651/4000 [35:31<02:11,  2.66it/s]

train:   4%|▍         | 136/3515 [01:02<21:08,  2.66it/s]
overall:  91%|█████████▏| 3652/4000 [35:32<02:22,  2.45it/s]

train:   4%|▍         | 137/3515 [01:03<22:59,  2.45it/s]
overall:  91%|█████████▏| 3653/4000 [35:32<02:32,  2.28it/s]

train:   4%|▍         | 138/3515 [01:03<24:39,  2.28it/s]
overall:  91%|█████████▏| 3654/4000 [35:32<01:56,  2.97it/s]

train:   4%|▍         | 139/3515 [01:03<18:58,  2.97it/s]
overall:  91%|█████████▏| 3655/4000 [35:33<02:11,  2.63it/s]

train:   4%|▍         | 140/3515 [01:04<21:25,  2.63it/s]
overall:  91%|█████████▏| 3656/4000 [35:33<02:23,  2.40it/s]

train:   4%|▍         | 141/3515 [01:04<23:24,  2.40it/s]
overall:  91%|█████████▏| 3657/4000 [35:34<02:31,  2.26it/s]

train:   4%|▍         | 142/3515 [01:05<24:51,  2.26it/s]
overall:  91%|█████████▏| 3658/4000 [35:34<02:33,  2.22it/s]

train:   4%|▍         | 143/3515 [01:05<25:17,  2.22it/s]
overall:  91%|█████████▏| 3659/4000 [35:35<02:34,  2.21it/s]

train:   4%|▍         | 144/3515 [01:06<25:28,  2.21it/s]
overall:  92%|█████████▏| 3660/4000 [35:35<02:53,  1.96it/s]

train:   4%|▍         | 145/3515 [01:06<28:35,  1.96it/s]
overall:  92%|█████████▏| 3661/4000 [35:36<02:47,  2.02it/s]

train:   4%|▍         | 146/3515 [01:07<27:48,  2.02it/s]
overall:  92%|█████████▏| 3662/4000 [35:36<02:45,  2.04it/s]

train:   4%|▍         | 147/3515 [01:07<27:30,  2.04it/s]
overall:  92%|█████████▏| 3663/4000 [35:37<02:08,  2.62it/s]

train:   4%|▍         | 148/3515 [01:07<21:24,  2.62it/s]
overall:  92%|█████████▏| 3664/4000 [35:37<02:20,  2.39it/s]

train:   4%|▍         | 149/3515 [01:08<23:26,  2.39it/s]
overall:  92%|█████████▏| 3665/4000 [35:38<02:27,  2.27it/s]

train:   4%|▍         | 150/3515 [01:08<24:41,  2.27it/s]
overall:  92%|█████████▏| 3666/4000 [35:38<02:31,  2.21it/s]

train:   4%|▍         | 151/3515 [01:09<25:23,  2.21it/s]
overall:  92%|█████████▏| 3667/4000 [35:38<02:02,  2.71it/s]

train:   4%|▍         | 152/3515 [01:09<20:39,  2.71it/s]
overall:  92%|█████████▏| 3669/4000 [35:39<01:49,  3.01it/s]

train:   4%|▍         | 154/3515 [01:10<18:35,  3.01it/s]
overall:  92%|█████████▏| 3670/4000 [35:39<02:03,  2.68it/s]

train:   4%|▍         | 155/3515 [01:10<20:55,  2.68it/s]
overall:  92%|█████████▏| 3671/4000 [35:40<02:12,  2.49it/s]

train:   4%|▍         | 156/3515 [01:11<22:29,  2.49it/s]
overall:  92%|█████████▏| 3672/4000 [35:40<02:34,  2.12it/s]

train:   4%|▍         | 157/3515 [01:11<26:20,  2.12it/s]
overall:  92%|█████████▏| 3673/4000 [35:41<02:02,  2.68it/s]

train:   4%|▍         | 158/3515 [01:11<20:54,  2.68it/s]
overall:  92%|█████████▏| 3674/4000 [35:41<02:12,  2.46it/s]

train:   5%|▍         | 159/3515 [01:12<22:42,  2.46it/s]
overall:  92%|█████████▏| 3675/4000 [35:42<02:20,  2.31it/s]

train:   5%|▍         | 160/3515 [01:12<24:10,  2.31it/s]
overall:  92%|█████████▏| 3676/4000 [35:42<02:24,  2.25it/s]

train:   5%|▍         | 161/3515 [01:13<24:51,  2.25it/s]
overall:  92%|█████████▏| 3677/4000 [35:42<02:22,  2.26it/s]

train:   5%|▍         | 162/3515 [01:13<24:42,  2.26it/s]
overall:  92%|█████████▏| 3678/4000 [35:43<02:25,  2.21it/s]

train:   5%|▍         | 163/3515 [01:14<25:16,  2.21it/s]
overall:  92%|█████████▏| 3679/4000 [35:43<02:27,  2.17it/s]

train:   5%|▍         | 164/3515 [01:14<25:42,  2.17it/s]
overall:  92%|█████████▏| 3680/4000 [35:44<02:28,  2.15it/s]

train:   5%|▍         | 165/3515 [01:15<25:55,  2.15it/s]
overall:  92%|█████████▏| 3681/4000 [35:44<02:32,  2.09it/s]

train:   5%|▍         | 166/3515 [01:15<26:44,  2.09it/s]
overall:  92%|█████████▏| 3682/4000 [35:45<02:03,  2.58it/s]

train:   5%|▍         | 167/3515 [01:15<21:37,  2.58it/s]
overall:  92%|█████████▏| 3683/4000 [35:45<02:10,  2.42it/s]

train:   5%|▍         | 168/3515 [01:16<23:02,  2.42it/s]
overall:  92%|█████████▏| 3684/4000 [35:46<02:37,  2.01it/s]

train:   5%|▍         | 169/3515 [01:17<27:48,  2.01it/s]
overall:  92%|█████████▏| 3685/4000 [35:46<02:30,  2.09it/s]

train:   5%|▍         | 170/3515 [01:17<26:41,  2.09it/s]
overall:  92%|█████████▏| 3686/4000 [35:47<02:29,  2.11it/s]

train:   5%|▍         | 171/3515 [01:18<26:27,  2.11it/s]
overall:  92%|█████████▏| 3687/4000 [35:47<02:17,  2.27it/s]

train:   5%|▍         | 172/3515 [01:18<24:32,  2.27it/s]
overall:  92%|█████████▏| 3688/4000 [35:47<02:15,  2.30it/s]

train:   5%|▍         | 173/3515 [01:18<24:13,  2.30it/s]
overall:  92%|█████████▏| 3689/4000 [35:48<02:20,  2.21it/s]

train:   5%|▍         | 174/3515 [01:19<25:08,  2.21it/s]
overall:  92%|█████████▏| 3690/4000 [35:48<02:24,  2.15it/s]

train:   5%|▍         | 175/3515 [01:19<25:54,  2.15it/s]
overall:  92%|█████████▏| 3691/4000 [35:49<02:27,  2.10it/s]

train:   5%|▌         | 176/3515 [01:20<26:32,  2.10it/s]
overall:  92%|█████████▏| 3692/4000 [35:49<02:28,  2.07it/s]

train:   5%|▌         | 177/3515 [01:20<26:49,  2.07it/s]
overall:  92%|█████████▏| 3693/4000 [35:50<02:29,  2.05it/s]

train:   5%|▌         | 178/3515 [01:21<27:07,  2.05it/s]
overall:  92%|█████████▏| 3694/4000 [35:50<02:30,  2.03it/s]

train:   5%|▌         | 179/3515 [01:21<27:23,  2.03it/s]
overall:  92%|█████████▏| 3695/4000 [35:51<02:11,  2.33it/s]

train:   5%|▌         | 180/3515 [01:22<23:52,  2.33it/s]
overall:  92%|█████████▏| 3696/4000 [35:51<02:24,  2.10it/s]

train:   5%|▌         | 181/3515 [01:22<26:25,  2.10it/s]
overall:  92%|█████████▏| 3697/4000 [35:51<01:51,  2.71it/s]

train:   5%|▌         | 182/3515 [01:22<20:30,  2.71it/s]
overall:  92%|█████████▏| 3698/4000 [35:52<02:03,  2.45it/s]

train:   5%|▌         | 183/3515 [01:23<22:40,  2.45it/s]
overall:  92%|█████████▏| 3699/4000 [35:52<02:09,  2.32it/s]

train:   5%|▌         | 184/3515 [01:23<23:56,  2.32it/s]
overall:  92%|█████████▎| 3700/4000 [35:53<02:09,  2.31it/s]

train:   5%|▌         | 185/3515 [01:24<24:03,  2.31it/s]
overall:  93%|█████████▎| 3701/4000 [35:53<02:14,  2.22it/s]

train:   5%|▌         | 186/3515 [01:24<24:58,  2.22it/s]
overall:  93%|█████████▎| 3702/4000 [35:54<02:07,  2.33it/s]

train:   5%|▌         | 187/3515 [01:25<23:48,  2.33it/s]
overall:  93%|█████████▎| 3703/4000 [35:54<02:14,  2.21it/s]

train:   5%|▌         | 188/3515 [01:25<25:04,  2.21it/s]
overall:  93%|█████████▎| 3704/4000 [35:55<02:14,  2.20it/s]

train:   5%|▌         | 189/3515 [01:26<25:13,  2.20it/s]
overall:  93%|█████████▎| 3705/4000 [35:55<02:08,  2.30it/s]

train:   5%|▌         | 190/3515 [01:26<24:05,  2.30it/s]
overall:  93%|█████████▎| 3706/4000 [35:56<02:13,  2.19it/s]

train:   5%|▌         | 191/3515 [01:26<25:14,  2.19it/s]
overall:  93%|█████████▎| 3707/4000 [35:56<01:54,  2.56it/s]

train:   5%|▌         | 192/3515 [01:27<21:38,  2.56it/s]
overall:  93%|█████████▎| 3708/4000 [35:56<02:11,  2.21it/s]

train:   5%|▌         | 193/3515 [01:27<25:01,  2.21it/s]
overall:  93%|█████████▎| 3709/4000 [35:57<02:08,  2.26it/s]

train:   6%|▌         | 194/3515 [01:28<24:27,  2.26it/s]
overall:  93%|█████████▎| 3710/4000 [35:57<01:55,  2.51it/s]

train:   6%|▌         | 195/3515 [01:28<22:05,  2.51it/s]
overall:  93%|█████████▎| 3711/4000 [35:58<02:02,  2.36it/s]

train:   6%|▌         | 196/3515 [01:28<23:23,  2.36it/s]
overall:  93%|█████████▎| 3712/4000 [35:58<02:06,  2.29it/s]

train:   6%|▌         | 197/3515 [01:29<24:12,  2.29it/s]
overall:  93%|█████████▎| 3713/4000 [35:59<02:07,  2.25it/s]

train:   6%|▌         | 198/3515 [01:29<24:33,  2.25it/s]
overall:  93%|█████████▎| 3714/4000 [35:59<02:06,  2.27it/s]

train:   6%|▌         | 199/3515 [01:30<24:22,  2.27it/s]
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overall: 100%|█████████▉| 3999/4000 [38:11<00:00,  2.28it/s]

train:  14%|█▍        | 484/3515 [03:41<22:06,  2.28it/s]train loss: 3.8951504230499268
train per: 0.8398830551833354
train loss: 4.10540246963501
train per: 0.8503538044902594
train loss: 3.9056243896484375
train per: 0.829086373240333
train loss: 3.9878242015838623
train per: 0.8281323877068558
train loss: 3.9465858936309814
train per: 0.8310977001293202
train loss: 4.030345916748047
train per: 0.8249975191029076
train loss: 3.8699698448181152
train per: 0.8261158921399885
train loss: 4.077328205108643
train per: 0.8438409311348206
train loss: 4.071835517883301
train per: 0.8301406154473202
train loss: 3.9647068977355957
train per: 0.8395374051319118
train loss: 3.945422410964966
train per: 0.8474532156893365
train loss: 3.8857929706573486
train per: 0.828491744756805
train loss: 3.8686046600341797
train per: 0.8433522369250157
train loss: 4.172857284545898
train per: 0.8315800464642773
train loss: 4.104262351989746
train per: 0.841385339264135
train loss: 3.8569705486297607
train per: 0.8320257953131744
train loss: 3.9278030395507812
train per: 0.8311413230875326
train loss: 4.096402168273926
train per: 0.8310357940771023
train loss: 4.1089887619018555
train per: 0.8430453446489367
train loss: 3.8543944358825684
train per: 0.8270826031078397
train loss: 4.227044105529785
train per: 0.8272537647537648
train loss: 3.8682243824005127
train per: 0.8239797043900287
train loss: 3.8794445991516113
train per: 0.8400896070160387
train loss: 3.902071475982666
train per: 0.8376531803151138
train loss: 4.018553733825684
train per: 0.8345965225144896
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  18%|█▊        | 492/2703 [00:00<00:00, 4917.24it/s]


word -> phonemes:  38%|███▊      | 1036/2703 [00:00<00:00, 5222.07it/s]


word -> phonemes:  58%|█████▊    | 1559/2703 [00:00<00:00, 4888.73it/s]


word -> phonemes:  80%|███████▉  | 2149/2703 [00:00<00:00, 5270.59it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5256.25it/s]



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overall: 100%|█████████▉| 3999/4000 [40:34<00:00,  2.28it/s]

train:  14%|█▍        | 484/3515 [06:05<22:06,  2.28it/s]
                                                            

                                                         

overall: 100%|█████████▉| 3999/4000 [40:34<00:00,  2.28it/s]

train:  14%|█▍        | 484/3515 [06:05<22:06,  2.28it/s]
overall: 100%|██████████| 4000/4000 [40:35<00:00, 43.49s/it]

train:  14%|█▍        | 485/3515 [06:05<36:36:01, 43.49s/it]403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [06:06<38:08,  1.32it/s]   

overall: 100%|██████████| 4000/4000 [40:35<00:00,  1.64it/s]
dev loss: 4.553450584411621
dev per: 0.8610822060353798
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt