/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
Some weights of the model checkpoint at m-a-p/MERT-v1-330M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_v', 'encoder.pos_conv_embed.conv.weight_g']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-330M and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.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-v1-330M {'model_config': None, 'refresh': False}

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


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

word -> phonemes:  12%|█▏        | 430/3515 [00:00<00:00, 4298.05it/s]

word -> phonemes:  24%|██▍       | 860/3515 [00:00<00:00, 4133.50it/s]

word -> phonemes:  38%|███▊      | 1333/3515 [00:00<00:00, 4391.08it/s]

word -> phonemes:  51%|█████     | 1793/3515 [00:00<00:00, 4471.06it/s]

word -> phonemes:  64%|██████▍   | 2241/3515 [00:00<00:00, 4440.35it/s]

word -> phonemes:  76%|███████▋  | 2686/3515 [00:00<00:00, 4379.37it/s]

word -> phonemes:  89%|████████▉ | 3125/3515 [00:00<00:00, 4266.57it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 4329.34it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:04<4:51:15,  4.37s/it]

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overall:   0%|          | 2/4000 [00:05<2:43:47,  2.46s/it]

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overall:   0%|          | 3/4000 [00:06<2:05:10,  1.88s/it]

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overall:   0%|          | 5/4000 [00:09<1:37:00,  1.46s/it]

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overall:   0%|          | 7/4000 [00:11<1:28:22,  1.33s/it]

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overall:   0%|          | 8/4000 [00:12<1:25:12,  1.28s/it]

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overall:   0%|          | 9/4000 [00:13<1:24:36,  1.27s/it]

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overall:   0%|          | 15/4000 [00:19<1:08:01,  1.02s/it]

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overall:   0%|          | 16/4000 [00:20<1:11:25,  1.08s/it]

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overall:   0%|          | 17/4000 [00:21<1:12:32,  1.09s/it]

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overall:   0%|          | 18/4000 [00:22<1:16:38,  1.15s/it]

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overall:   0%|          | 19/4000 [00:23<1:01:56,  1.07it/s]

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overall:   0%|          | 20/4000 [00:24<1:07:16,  1.01s/it]

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overall:   1%|          | 21/4000 [00:25<1:12:05,  1.09s/it]

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overall:   1%|          | 22/4000 [00:26<1:15:23,  1.14s/it]

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overall:   1%|          | 23/4000 [00:28<1:17:24,  1.17s/it]

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overall:   1%|          | 24/4000 [00:29<1:16:11,  1.15s/it]

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overall:   1%|          | 25/4000 [00:30<1:16:12,  1.15s/it]

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overall:   1%|          | 26/4000 [00:31<1:16:39,  1.16s/it]

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overall:   1%|          | 27/4000 [00:32<1:19:12,  1.20s/it]

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overall:   1%|          | 28/4000 [00:33<1:17:51,  1.18s/it]

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overall:   1%|          | 29/4000 [00:35<1:17:11,  1.17s/it]

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overall:   1%|          | 30/4000 [00:36<1:18:46,  1.19s/it]

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overall:   1%|          | 31/4000 [00:37<1:20:20,  1.21s/it]

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overall:   1%|          | 32/4000 [00:38<1:20:10,  1.21s/it]

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overall:   1%|          | 33/4000 [00:40<1:21:33,  1.23s/it]

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overall:   1%|          | 34/4000 [00:40<1:02:33,  1.06it/s]

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overall:   1%|          | 35/4000 [00:41<1:08:53,  1.04s/it]

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overall:   1%|          | 36/4000 [00:42<1:12:52,  1.10s/it]

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overall:   1%|          | 37/4000 [00:43<1:13:04,  1.11s/it]

train:   1%|          | 37/3515 [00:41<1:04:07,  1.11s/it]
overall:   1%|          | 38/4000 [00:45<1:14:03,  1.12s/it]

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overall:   1%|          | 39/4000 [00:46<1:12:59,  1.11s/it]

train:   1%|          | 39/3515 [00:44<1:04:02,  1.11s/it]
overall:   1%|          | 40/4000 [00:46<1:05:44,  1.00it/s]

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overall:   1%|          | 41/4000 [00:48<1:08:48,  1.04s/it]

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overall:   1%|          | 42/4000 [00:49<1:12:53,  1.11s/it]

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overall:   1%|          | 43/4000 [00:50<1:13:19,  1.11s/it]

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overall:   1%|          | 44/4000 [00:51<1:13:37,  1.12s/it]

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overall:   1%|          | 45/4000 [00:52<1:03:36,  1.04it/s]

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overall:   1%|          | 46/4000 [00:52<52:49,  1.25it/s]  

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overall:   1%|          | 48/4000 [00:54<1:01:51,  1.06it/s]

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overall:   1%|          | 49/4000 [00:56<1:07:34,  1.03s/it]

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overall:   1%|▏         | 51/4000 [00:58<1:10:37,  1.07s/it]

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overall:   1%|▏         | 53/4000 [01:00<1:14:41,  1.14s/it]

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overall:   1%|▏         | 54/4000 [01:01<1:14:21,  1.13s/it]

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overall:   1%|▏         | 57/4000 [01:05<1:19:58,  1.22s/it]

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overall:   6%|▌         | 228/4000 [04:20<1:13:07,  1.16s/it]

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overall:   6%|▌         | 249/4000 [04:44<1:09:45,  1.12s/it]

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overall:   6%|▋         | 250/4000 [04:45<59:37,  1.05it/s]  

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overall:   6%|▋         | 251/4000 [04:46<1:04:20,  1.03s/it]

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overall:   6%|▋         | 252/4000 [04:47<1:07:04,  1.07s/it]

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overall:   6%|▋         | 253/4000 [04:49<1:09:30,  1.11s/it]

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train:   7%|▋         | 257/3515 [04:51<1:04:48,  1.19s/it]
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train:   7%|▋         | 258/3515 [04:53<1:04:12,  1.18s/it]
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train:   7%|▋         | 259/3515 [04:54<1:05:35,  1.21s/it]
overall:   6%|▋         | 260/4000 [04:57<1:15:04,  1.20s/it]

train:   7%|▋         | 260/3515 [04:55<1:05:20,  1.20s/it]
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train:   7%|▋         | 261/3515 [04:56<1:04:11,  1.18s/it]
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train:   7%|▋         | 262/3515 [04:57<1:04:19,  1.19s/it]
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train:   7%|▋         | 263/3515 [04:59<1:05:25,  1.21s/it]
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train:   8%|▊         | 264/3515 [05:00<1:06:22,  1.23s/it]
overall:   7%|▋         | 265/4000 [05:03<1:18:31,  1.26s/it]

train:   8%|▊         | 265/3515 [05:01<1:08:19,  1.26s/it]
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train:   8%|▊         | 266/3515 [05:02<1:08:20,  1.26s/it]
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train:   8%|▊         | 267/3515 [05:04<1:07:56,  1.26s/it]
overall:   7%|▋         | 268/4000 [05:07<1:17:36,  1.25s/it]

train:   8%|▊         | 268/3515 [05:05<1:07:31,  1.25s/it]
overall:   7%|▋         | 269/4000 [05:08<1:11:39,  1.15s/it]

train:   8%|▊         | 269/3515 [05:06<1:02:20,  1.15s/it]
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train:   8%|▊         | 270/3515 [05:07<1:02:23,  1.15s/it]
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train:   8%|▊         | 271/3515 [05:08<1:05:14,  1.21s/it]
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train:   8%|▊         | 273/3515 [05:11<1:05:10,  1.21s/it]
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train:   8%|▊         | 274/3515 [05:12<1:06:02,  1.22s/it]
overall:   7%|▋         | 275/4000 [05:15<1:12:48,  1.17s/it]

train:   8%|▊         | 275/3515 [05:13<1:03:19,  1.17s/it]
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train:   8%|▊         | 276/3515 [05:15<1:08:10,  1.26s/it]
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train:   8%|▊         | 277/3515 [05:16<1:08:12,  1.26s/it]
overall:   7%|▋         | 278/4000 [05:19<1:16:28,  1.23s/it]

train:   8%|▊         | 278/3515 [05:17<1:06:30,  1.23s/it]
overall:   7%|▋         | 279/4000 [05:20<1:09:25,  1.12s/it]

train:   8%|▊         | 279/3515 [05:18<1:00:22,  1.12s/it]
overall:   7%|▋         | 280/4000 [05:21<1:11:12,  1.15s/it]

train:   8%|▊         | 280/3515 [05:19<1:01:55,  1.15s/it]
overall:   7%|▋         | 281/4000 [05:22<1:13:39,  1.19s/it]

train:   8%|▊         | 281/3515 [05:20<1:04:02,  1.19s/it]
overall:   7%|▋         | 282/4000 [05:24<1:15:31,  1.22s/it]

train:   8%|▊         | 282/3515 [05:22<1:05:40,  1.22s/it]
overall:   7%|▋         | 283/4000 [05:25<1:14:01,  1.20s/it]

train:   8%|▊         | 283/3515 [05:23<1:04:22,  1.20s/it]
overall:   7%|▋         | 284/4000 [05:26<1:09:55,  1.13s/it]

train:   8%|▊         | 284/3515 [05:24<1:00:48,  1.13s/it]
overall:   7%|▋         | 285/4000 [05:27<1:10:49,  1.14s/it]

train:   8%|▊         | 285/3515 [05:25<1:01:34,  1.14s/it]
overall:   7%|▋         | 286/4000 [05:28<1:01:42,  1.00it/s]

train:   8%|▊         | 286/3515 [05:26<53:38,  1.00it/s]  
overall:   7%|▋         | 287/4000 [05:29<1:01:19,  1.01it/s]

train:   8%|▊         | 287/3515 [05:27<53:18,  1.01it/s]
overall:   7%|▋         | 288/4000 [05:30<1:05:19,  1.06s/it]

train:   8%|▊         | 288/3515 [05:28<56:47,  1.06s/it]
overall:   7%|▋         | 289/4000 [05:31<1:07:55,  1.10s/it]

train:   8%|▊         | 289/3515 [05:29<59:02,  1.10s/it]
overall:   7%|▋         | 290/4000 [05:32<1:10:17,  1.14s/it]

train:   8%|▊         | 290/3515 [05:30<1:01:06,  1.14s/it]
overall:   7%|▋         | 291/4000 [05:33<1:09:11,  1.12s/it]

train:   8%|▊         | 291/3515 [05:31<1:00:08,  1.12s/it]
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train:   8%|▊         | 292/3515 [05:32<1:00:36,  1.13s/it]
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train:   9%|▊         | 299/3515 [05:40<53:24,  1.00it/s]  
overall:   8%|▊         | 300/4000 [05:43<1:06:52,  1.08s/it]

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overall:   8%|▊         | 301/4000 [05:45<1:08:21,  1.11s/it]

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overall:   8%|▊         | 310/4000 [05:53<45:42,  1.35it/s]

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overall:   8%|▊         | 325/4000 [06:09<50:42,  1.21it/s]  

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overall:   8%|▊         | 339/4000 [06:23<53:52,  1.13it/s]  

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overall:  10%|▉         | 390/4000 [07:20<53:25,  1.13it/s]  

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overall:  10%|▉         | 396/4000 [07:27<1:10:20,  1.17s/it]

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overall:  10%|▉         | 398/4000 [07:29<1:09:47,  1.16s/it]

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overall:  10%|█         | 404/4000 [07:36<1:07:45,  1.13s/it]

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overall:  10%|█         | 405/4000 [07:38<1:09:58,  1.17s/it]

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overall:  10%|█         | 407/4000 [07:39<1:03:44,  1.06s/it]

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overall:  10%|█         | 408/4000 [07:41<1:06:24,  1.11s/it]

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overall:  10%|█         | 417/4000 [07:51<1:12:45,  1.22s/it]

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overall:  10%|█         | 419/4000 [07:53<1:09:57,  1.17s/it]

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overall:  10%|█         | 420/4000 [07:54<1:14:29,  1.25s/it]

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overall:  11%|█         | 427/4000 [08:02<1:01:58,  1.04s/it]

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overall:  11%|█         | 428/4000 [08:03<1:05:02,  1.09s/it]

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overall:  11%|█         | 431/4000 [08:06<48:58,  1.21it/s]  

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overall:  11%|█         | 436/4000 [08:11<57:07,  1.04it/s]  

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overall:  11%|█         | 446/4000 [08:22<56:32,  1.05it/s]  

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overall:  11%|█▏        | 450/4000 [08:27<1:08:11,  1.15s/it]

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overall:  11%|█▏        | 451/4000 [08:28<1:03:10,  1.07s/it]

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overall:  11%|█▏        | 452/4000 [08:29<1:05:00,  1.10s/it]

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overall:  11%|█▏        | 453/4000 [08:29<52:49,  1.12it/s]  

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overall:  11%|█▏        | 454/4000 [08:31<58:17,  1.01it/s]

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overall:  12%|█▏        | 463/4000 [08:41<1:11:24,  1.21s/it]

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overall:  12%|█▏        | 472/4000 [08:51<1:08:01,  1.16s/it]

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overall:  12%|█▏        | 489/4000 [09:09<55:58,  1.05it/s]

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overall:  12%|█▏        | 492/4000 [09:12<55:45,  1.05it/s]  

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overall:  12%|█▏        | 495/4000 [09:16<1:03:49,  1.09s/it]

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overall:  12%|█▏        | 496/4000 [09:17<1:04:28,  1.10s/it]

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overall:  12%|█▏        | 497/4000 [09:18<1:06:09,  1.13s/it]

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overall:  12%|█▏        | 499/4000 [09:20<1:03:49,  1.09s/it]

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overall:  12%|█▎        | 500/4000 [09:21<54:48,  1.06it/s]  

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overall:  13%|█▎        | 518/4000 [09:42<58:23,  1.01s/it]  

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overall:  13%|█▎        | 519/4000 [09:43<1:02:49,  1.08s/it]

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overall:  13%|█▎        | 520/4000 [09:44<1:04:09,  1.11s/it]

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overall:  13%|█▎        | 521/4000 [09:45<1:06:17,  1.14s/it]

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overall:  13%|█▎        | 522/4000 [09:47<1:07:33,  1.17s/it]

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overall:  13%|█▎        | 526/4000 [09:51<1:10:58,  1.23s/it]

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overall:  13%|█▎        | 527/4000 [09:53<1:10:20,  1.22s/it]

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overall:  13%|█▎        | 528/4000 [09:53<53:10,  1.09it/s]  

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overall:  13%|█▎        | 529/4000 [09:54<57:59,  1.00s/it]

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overall:  13%|█▎        | 531/4000 [09:56<53:31,  1.08it/s]  

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overall:  13%|█▎        | 534/4000 [09:59<53:45,  1.07it/s]  

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overall:  14%|█▎        | 543/4000 [10:09<1:04:55,  1.13s/it]

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overall:  14%|█▎        | 545/4000 [10:11<1:06:42,  1.16s/it]

train:  16%|█▌        | 545/3515 [10:09<57:20,  1.16s/it]
overall:  14%|█▎        | 546/4000 [10:13<1:06:13,  1.15s/it]

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overall:  14%|█▎        | 547/4000 [10:14<1:07:32,  1.17s/it]

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overall:  14%|█▎        | 549/4000 [10:16<1:08:45,  1.20s/it]

train:  16%|█▌        | 549/3515 [10:14<59:05,  1.20s/it]
overall:  14%|█▍        | 550/4000 [10:17<1:09:12,  1.20s/it]

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overall:  14%|█▍        | 552/4000 [10:19<1:00:50,  1.06s/it]

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overall:  14%|█▍        | 553/4000 [10:20<1:01:21,  1.07s/it]

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overall:  14%|█▍        | 554/4000 [10:22<1:04:04,  1.12s/it]

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overall:  14%|█▍        | 555/4000 [10:22<51:18,  1.12it/s]  

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overall:  14%|█▍        | 556/4000 [10:23<56:35,  1.01it/s]

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train:  16%|█▌        | 557/3515 [10:22<52:05,  1.06s/it]
overall:  14%|█▍        | 558/4000 [10:26<1:03:01,  1.10s/it]

train:  16%|█▌        | 558/3515 [10:24<54:09,  1.10s/it]
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overall:  14%|█▍        | 560/4000 [10:28<1:04:06,  1.12s/it]

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overall:  14%|█▍        | 561/4000 [10:29<1:06:04,  1.15s/it]

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overall:  14%|█▍        | 562/4000 [10:30<1:01:14,  1.07s/it]

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overall:  14%|█▍        | 563/4000 [10:31<1:03:40,  1.11s/it]

train:  16%|█▌        | 563/3515 [10:29<54:41,  1.11s/it]
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train:  16%|█▌        | 564/3515 [10:31<59:59,  1.22s/it]
overall:  14%|█▍        | 565/4000 [10:33<56:12,  1.02it/s]  

train:  16%|█▌        | 565/3515 [10:31<48:16,  1.02it/s]
overall:  14%|█▍        | 566/4000 [10:34<1:00:25,  1.06s/it]

train:  16%|█▌        | 566/3515 [10:32<51:53,  1.06s/it]
overall:  14%|█▍        | 567/4000 [10:36<1:02:52,  1.10s/it]

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overall:  14%|█▍        | 568/4000 [10:36<48:42,  1.17it/s]  

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overall:  14%|█▍        | 569/4000 [10:37<54:47,  1.04it/s]

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overall:  14%|█▍        | 570/4000 [10:38<59:00,  1.03s/it]

train:  16%|█▌        | 570/3515 [10:36<50:39,  1.03s/it]
overall:  14%|█▍        | 571/4000 [10:40<1:03:08,  1.10s/it]

train:  16%|█▌        | 571/3515 [10:38<54:12,  1.10s/it]
overall:  14%|█▍        | 572/4000 [10:41<1:05:11,  1.14s/it]

train:  16%|█▋        | 572/3515 [10:39<55:58,  1.14s/it]
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overall:  14%|█▍        | 574/4000 [10:43<1:07:38,  1.18s/it]

train:  16%|█▋        | 574/3515 [10:41<58:04,  1.18s/it]
overall:  14%|█▍        | 575/4000 [10:45<1:08:59,  1.21s/it]

train:  16%|█▋        | 575/3515 [10:43<59:13,  1.21s/it]
overall:  14%|█▍        | 576/4000 [10:46<1:09:03,  1.21s/it]

train:  16%|█▋        | 576/3515 [10:44<59:16,  1.21s/it]
overall:  14%|█▍        | 577/4000 [10:47<1:06:58,  1.17s/it]

train:  16%|█▋        | 577/3515 [10:45<57:28,  1.17s/it]
overall:  14%|█▍        | 578/4000 [10:48<1:07:27,  1.18s/it]

train:  16%|█▋        | 578/3515 [10:46<57:53,  1.18s/it]
overall:  14%|█▍        | 579/4000 [10:49<57:58,  1.02s/it]  

train:  16%|█▋        | 579/3515 [10:47<49:45,  1.02s/it]
overall:  14%|█▍        | 580/4000 [10:50<1:00:25,  1.06s/it]

train:  17%|█▋        | 580/3515 [10:48<51:51,  1.06s/it]
overall:  15%|█▍        | 581/4000 [10:51<1:00:33,  1.06s/it]

train:  17%|█▋        | 581/3515 [10:49<51:57,  1.06s/it]
overall:  15%|█▍        | 582/4000 [10:52<1:01:32,  1.08s/it]

train:  17%|█▋        | 582/3515 [10:50<52:48,  1.08s/it]
overall:  15%|█▍        | 583/4000 [10:53<1:06:40,  1.17s/it]

train:  17%|█▋        | 583/3515 [10:51<57:12,  1.17s/it]
overall:  15%|█▍        | 584/4000 [10:54<1:04:15,  1.13s/it]

train:  17%|█▋        | 584/3515 [10:52<55:07,  1.13s/it]
overall:  15%|█▍        | 585/4000 [10:56<1:06:51,  1.17s/it]

train:  17%|█▋        | 585/3515 [10:54<57:21,  1.17s/it]
overall:  15%|█▍        | 586/4000 [10:57<1:08:12,  1.20s/it]

train:  17%|█▋        | 586/3515 [10:55<58:31,  1.20s/it]
overall:  15%|█▍        | 587/4000 [10:58<1:09:29,  1.22s/it]

train:  17%|█▋        | 587/3515 [10:56<59:37,  1.22s/it]
overall:  15%|█▍        | 588/4000 [11:00<1:11:54,  1.26s/it]

train:  17%|█▋        | 588/3515 [10:58<1:01:41,  1.26s/it]
overall:  15%|█▍        | 589/4000 [11:01<1:09:13,  1.22s/it]

train:  17%|█▋        | 589/3515 [10:59<59:22,  1.22s/it]  
overall:  15%|█▍        | 590/4000 [11:01<59:17,  1.04s/it]  

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overall:  15%|█▍        | 591/4000 [11:03<1:03:05,  1.11s/it]

train:  17%|█▋        | 591/3515 [11:01<54:07,  1.11s/it]
overall:  15%|█▍        | 592/4000 [11:04<1:04:46,  1.14s/it]

train:  17%|█▋        | 592/3515 [11:02<55:33,  1.14s/it]
overall:  15%|█▍        | 593/4000 [11:05<1:04:05,  1.13s/it]

train:  17%|█▋        | 593/3515 [11:03<54:57,  1.13s/it]
overall:  15%|█▍        | 594/4000 [11:06<1:04:22,  1.13s/it]

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overall:  15%|█▍        | 595/4000 [11:07<1:05:20,  1.15s/it]

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overall:  15%|█▍        | 596/4000 [11:09<1:06:07,  1.17s/it]

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overall:  15%|█▍        | 597/4000 [11:09<57:02,  1.01s/it]  

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overall:  15%|█▍        | 598/4000 [11:10<1:00:26,  1.07s/it]

train:  17%|█▋        | 598/3515 [11:08<51:49,  1.07s/it]
overall:  15%|█▍        | 599/4000 [11:11<1:01:06,  1.08s/it]

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overall:  15%|█▌        | 600/4000 [11:12<58:21,  1.03s/it]  

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overall:  15%|█▌        | 601/4000 [11:13<55:12,  1.03it/s]

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overall:  15%|█▌        | 602/4000 [11:14<58:27,  1.03s/it]

train:  17%|█▋        | 602/3515 [11:12<50:06,  1.03s/it]
overall:  15%|█▌        | 603/4000 [11:16<1:01:35,  1.09s/it]

train:  17%|█▋        | 603/3515 [11:14<52:47,  1.09s/it]
overall:  15%|█▌        | 604/4000 [11:17<1:02:40,  1.11s/it]

train:  17%|█▋        | 604/3515 [11:15<53:43,  1.11s/it]
overall:  15%|█▌        | 605/4000 [11:18<1:05:29,  1.16s/it]

train:  17%|█▋        | 605/3515 [11:16<56:08,  1.16s/it]
overall:  15%|█▌        | 606/4000 [11:19<1:03:46,  1.13s/it]

train:  17%|█▋        | 606/3515 [11:17<54:39,  1.13s/it]
overall:  15%|█▌        | 607/4000 [11:20<1:00:58,  1.08s/it]

train:  17%|█▋        | 607/3515 [11:18<52:15,  1.08s/it]
overall:  15%|█▌        | 608/4000 [11:21<1:03:15,  1.12s/it]

train:  17%|█▋        | 608/3515 [11:19<54:12,  1.12s/it]
overall:  15%|█▌        | 609/4000 [11:23<1:04:59,  1.15s/it]

train:  17%|█▋        | 609/3515 [11:20<55:42,  1.15s/it]
overall:  15%|█▌        | 610/4000 [11:24<1:06:01,  1.17s/it]

train:  17%|█▋        | 610/3515 [11:22<56:34,  1.17s/it]
overall:  15%|█▌        | 611/4000 [11:24<53:49,  1.05it/s]  

train:  17%|█▋        | 611/3515 [11:22<46:07,  1.05it/s]
overall:  15%|█▌        | 612/4000 [11:25<49:59,  1.13it/s]

train:  17%|█▋        | 612/3515 [11:23<42:49,  1.13it/s]
overall:  15%|█▌        | 613/4000 [11:26<55:21,  1.02it/s]

train:  17%|█▋        | 613/3515 [11:24<47:26,  1.02it/s]
overall:  15%|█▌        | 614/4000 [11:27<1:00:15,  1.07s/it]

train:  17%|█▋        | 614/3515 [11:25<51:37,  1.07s/it]
overall:  15%|█▌        | 615/4000 [11:29<1:02:29,  1.11s/it]

train:  17%|█▋        | 615/3515 [11:27<53:32,  1.11s/it]
overall:  15%|█▌        | 616/4000 [11:30<1:02:38,  1.11s/it]

train:  18%|█▊        | 616/3515 [11:28<53:39,  1.11s/it]
overall:  15%|█▌        | 617/4000 [11:31<1:05:13,  1.16s/it]

train:  18%|█▊        | 617/3515 [11:29<55:52,  1.16s/it]
overall:  15%|█▌        | 618/4000 [11:32<1:06:06,  1.17s/it]

train:  18%|█▊        | 618/3515 [11:30<56:37,  1.17s/it]
overall:  15%|█▌        | 619/4000 [11:33<1:05:54,  1.17s/it]

train:  18%|█▊        | 619/3515 [11:31<56:27,  1.17s/it]
overall:  16%|█▌        | 620/4000 [11:35<1:06:41,  1.18s/it]

train:  18%|█▊        | 620/3515 [11:33<57:07,  1.18s/it]
overall:  16%|█▌        | 621/4000 [11:36<1:07:07,  1.19s/it]

train:  18%|█▊        | 621/3515 [11:34<57:29,  1.19s/it]
overall:  16%|█▌        | 622/4000 [11:37<1:07:00,  1.19s/it]

train:  18%|█▊        | 622/3515 [11:35<57:23,  1.19s/it]
overall:  16%|█▌        | 623/4000 [11:38<1:07:34,  1.20s/it]

train:  18%|█▊        | 623/3515 [11:36<57:52,  1.20s/it]
overall:  16%|█▌        | 624/4000 [11:39<1:07:52,  1.21s/it]

train:  18%|█▊        | 624/3515 [11:37<58:07,  1.21s/it]
overall:  16%|█▌        | 625/4000 [11:40<1:06:04,  1.17s/it]

train:  18%|█▊        | 625/3515 [11:38<56:34,  1.17s/it]
overall:  16%|█▌        | 626/4000 [11:42<1:05:47,  1.17s/it]

train:  18%|█▊        | 626/3515 [11:40<56:20,  1.17s/it]
overall:  16%|█▌        | 627/4000 [11:43<1:06:33,  1.18s/it]

train:  18%|█▊        | 627/3515 [11:41<56:59,  1.18s/it]
overall:  16%|█▌        | 628/4000 [11:44<1:06:58,  1.19s/it]

train:  18%|█▊        | 628/3515 [11:42<57:20,  1.19s/it]
overall:  16%|█▌        | 629/4000 [11:45<1:07:26,  1.20s/it]

train:  18%|█▊        | 629/3515 [11:43<57:43,  1.20s/it]
overall:  16%|█▌        | 630/4000 [11:46<1:03:17,  1.13s/it]

train:  18%|█▊        | 630/3515 [11:44<54:10,  1.13s/it]
overall:  16%|█▌        | 631/4000 [11:47<1:04:56,  1.16s/it]

train:  18%|█▊        | 631/3515 [11:45<55:35,  1.16s/it]
overall:  16%|█▌        | 632/4000 [11:49<1:04:49,  1.15s/it]

train:  18%|█▊        | 632/3515 [11:47<55:29,  1.15s/it]
overall:  16%|█▌        | 633/4000 [11:50<1:07:47,  1.21s/it]

train:  18%|█▊        | 633/3515 [11:48<58:01,  1.21s/it]
overall:  16%|█▌        | 634/4000 [11:51<1:08:42,  1.22s/it]

train:  18%|█▊        | 634/3515 [11:49<58:48,  1.22s/it]
overall:  16%|█▌        | 635/4000 [11:52<54:53,  1.02it/s]  

train:  18%|█▊        | 635/3515 [11:50<46:58,  1.02it/s]
overall:  16%|█▌        | 636/4000 [11:53<59:05,  1.05s/it]

train:  18%|█▊        | 636/3515 [11:51<50:34,  1.05s/it]
overall:  16%|█▌        | 637/4000 [11:54<1:01:49,  1.10s/it]

train:  18%|█▊        | 637/3515 [11:52<52:54,  1.10s/it]
overall:  16%|█▌        | 638/4000 [11:54<49:30,  1.13it/s]  

train:  18%|█▊        | 638/3515 [11:52<42:21,  1.13it/s]
overall:  16%|█▌        | 639/4000 [11:56<56:00,  1.00it/s]

train:  18%|█▊        | 639/3515 [11:54<47:55,  1.00it/s]
overall:  16%|█▌        | 640/4000 [11:57<55:53,  1.00it/s]

train:  18%|█▊        | 640/3515 [11:55<47:49,  1.00it/s]
overall:  16%|█▌        | 641/4000 [11:58<58:50,  1.05s/it]

train:  18%|█▊        | 641/3515 [11:56<50:20,  1.05s/it]
overall:  16%|█▌        | 642/4000 [11:59<1:00:24,  1.08s/it]

train:  18%|█▊        | 642/3515 [11:57<51:40,  1.08s/it]
overall:  16%|█▌        | 643/4000 [12:00<1:03:16,  1.13s/it]

train:  18%|█▊        | 643/3515 [11:58<54:08,  1.13s/it]
overall:  16%|█▌        | 644/4000 [12:01<1:04:16,  1.15s/it]

train:  18%|█▊        | 644/3515 [11:59<54:59,  1.15s/it]
overall:  16%|█▌        | 645/4000 [12:02<55:23,  1.01it/s]  

train:  18%|█▊        | 645/3515 [12:00<47:23,  1.01it/s]
overall:  16%|█▌        | 646/4000 [12:03<58:58,  1.06s/it]

train:  18%|█▊        | 646/3515 [12:01<50:26,  1.06s/it]
overall:  16%|█▌        | 647/4000 [12:04<58:58,  1.06s/it]

train:  18%|█▊        | 647/3515 [12:02<50:26,  1.06s/it]
overall:  16%|█▌        | 648/4000 [12:06<1:00:54,  1.09s/it]

train:  18%|█▊        | 648/3515 [12:03<52:05,  1.09s/it]
overall:  16%|█▌        | 649/4000 [12:07<1:03:03,  1.13s/it]

train:  18%|█▊        | 649/3515 [12:05<53:55,  1.13s/it]
overall:  16%|█▋        | 650/4000 [12:08<1:00:57,  1.09s/it]

train:  18%|█▊        | 650/3515 [12:06<52:08,  1.09s/it]
overall:  16%|█▋        | 651/4000 [12:09<1:04:17,  1.15s/it]

train:  19%|█▊        | 651/3515 [12:07<54:58,  1.15s/it]
overall:  16%|█▋        | 652/4000 [12:10<1:06:15,  1.19s/it]

train:  19%|█▊        | 652/3515 [12:08<56:39,  1.19s/it]
overall:  16%|█▋        | 653/4000 [12:12<1:07:23,  1.21s/it]

train:  19%|█▊        | 653/3515 [12:10<57:37,  1.21s/it]
overall:  16%|█▋        | 654/4000 [12:13<1:07:37,  1.21s/it]

train:  19%|█▊        | 654/3515 [12:11<57:49,  1.21s/it]
overall:  16%|█▋        | 655/4000 [12:14<1:04:42,  1.16s/it]

train:  19%|█▊        | 655/3515 [12:12<55:19,  1.16s/it]
overall:  16%|█▋        | 656/4000 [12:15<1:05:25,  1.17s/it]

train:  19%|█▊        | 656/3515 [12:13<55:56,  1.17s/it]
overall:  16%|█▋        | 657/4000 [12:16<1:05:59,  1.18s/it]

train:  19%|█▊        | 657/3515 [12:14<56:24,  1.18s/it]
overall:  16%|█▋        | 658/4000 [12:17<1:03:49,  1.15s/it]

train:  19%|█▊        | 658/3515 [12:15<54:33,  1.15s/it]
overall:  16%|█▋        | 659/4000 [12:18<54:13,  1.03it/s]  

train:  19%|█▊        | 659/3515 [12:16<46:21,  1.03it/s]
overall:  16%|█▋        | 660/4000 [12:19<1:01:25,  1.10s/it]

train:  19%|█▉        | 660/3515 [12:17<52:30,  1.10s/it]
overall:  17%|█▋        | 661/4000 [12:21<1:03:56,  1.15s/it]

train:  19%|█▉        | 661/3515 [12:18<54:39,  1.15s/it]
overall:  17%|█▋        | 662/4000 [12:22<1:02:23,  1.12s/it]

train:  19%|█▉        | 662/3515 [12:20<53:19,  1.12s/it]
overall:  17%|█▋        | 663/4000 [12:23<1:02:22,  1.12s/it]

train:  19%|█▉        | 663/3515 [12:21<53:18,  1.12s/it]
overall:  17%|█▋        | 664/4000 [12:24<1:02:04,  1.12s/it]

train:  19%|█▉        | 664/3515 [12:22<53:03,  1.12s/it]
overall:  17%|█▋        | 665/4000 [12:25<1:03:48,  1.15s/it]

train:  19%|█▉        | 665/3515 [12:23<54:32,  1.15s/it]
overall:  17%|█▋        | 666/4000 [12:26<1:03:59,  1.15s/it]

train:  19%|█▉        | 666/3515 [12:24<54:41,  1.15s/it]
overall:  17%|█▋        | 667/4000 [12:27<1:01:21,  1.10s/it]

train:  19%|█▉        | 667/3515 [12:25<52:26,  1.10s/it]
overall:  17%|█▋        | 668/4000 [12:28<1:02:14,  1.12s/it]

train:  19%|█▉        | 668/3515 [12:26<53:10,  1.12s/it]
overall:  17%|█▋        | 669/4000 [12:29<59:30,  1.07s/it]  

train:  19%|█▉        | 669/3515 [12:27<50:50,  1.07s/it]
overall:  17%|█▋        | 670/4000 [12:30<51:30,  1.08it/s]

train:  19%|█▉        | 670/3515 [12:28<44:00,  1.08it/s]
overall:  17%|█▋        | 671/4000 [12:31<46:51,  1.18it/s]

train:  19%|█▉        | 671/3515 [12:29<40:01,  1.18it/s]
overall:  17%|█▋        | 672/4000 [12:32<51:31,  1.08it/s]

train:  19%|█▉        | 672/3515 [12:30<44:01,  1.08it/s]
overall:  17%|█▋        | 673/4000 [12:33<56:59,  1.03s/it]

train:  19%|█▉        | 673/3515 [12:31<48:41,  1.03s/it]
overall:  17%|█▋        | 674/4000 [12:33<44:45,  1.24it/s]

train:  19%|█▉        | 674/3515 [12:31<38:13,  1.24it/s]
overall:  17%|█▋        | 675/4000 [12:34<51:50,  1.07it/s]

train:  19%|█▉        | 675/3515 [12:32<44:17,  1.07it/s]
overall:  17%|█▋        | 676/4000 [12:36<56:14,  1.02s/it]

train:  19%|█▉        | 676/3515 [12:34<48:01,  1.02s/it]
overall:  17%|█▋        | 677/4000 [12:37<1:00:15,  1.09s/it]

train:  19%|█▉        | 677/3515 [12:35<51:27,  1.09s/it]
overall:  17%|█▋        | 678/4000 [12:38<1:02:12,  1.12s/it]

train:  19%|█▉        | 678/3515 [12:36<53:07,  1.12s/it]
overall:  17%|█▋        | 679/4000 [12:40<1:06:56,  1.21s/it]

train:  19%|█▉        | 679/3515 [12:38<57:09,  1.21s/it]
overall:  17%|█▋        | 680/4000 [12:41<1:08:15,  1.23s/it]

train:  19%|█▉        | 680/3515 [12:39<58:16,  1.23s/it]
overall:  17%|█▋        | 681/4000 [12:42<1:09:46,  1.26s/it]

train:  19%|█▉        | 681/3515 [12:40<59:34,  1.26s/it]
overall:  17%|█▋        | 682/4000 [12:43<1:09:08,  1.25s/it]

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overall:  17%|█▋        | 683/4000 [12:45<1:08:45,  1.24s/it]

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overall:  17%|█▋        | 684/4000 [12:46<1:11:21,  1.29s/it]

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overall:  17%|█▋        | 685/4000 [12:47<1:08:24,  1.24s/it]

train:  19%|█▉        | 685/3515 [12:45<58:24,  1.24s/it]  
overall:  17%|█▋        | 686/4000 [12:48<1:05:21,  1.18s/it]

train:  20%|█▉        | 686/3515 [12:46<55:47,  1.18s/it]
overall:  17%|█▋        | 687/4000 [12:48<50:20,  1.10it/s]  

train:  20%|█▉        | 687/3515 [12:46<42:57,  1.10it/s]
overall:  17%|█▋        | 688/4000 [12:50<53:49,  1.03it/s]

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train:  28%|██▊       | 999/3515 [18:38<50:04,  1.19s/it]train loss: 252.2728729248047
train per: 1.1122995979550305
train loss: 239.69345092773438
train per: 1.047360692864787
train loss: 73.96802520751953
train per: 0.9178127378837858
train loss: 52.2308235168457
train per: 0.9311567071039888
train loss: 32.724246978759766
train per: 0.8974921417426109
train loss: 25.027631759643555
train per: 0.9244907626717196
train loss: 31.815505981445312
train per: 0.9101303138000386
train loss: 22.27023696899414
train per: 0.898500011144048
train loss: 18.913257598876953
train per: 0.889956202526289
train loss: 19.927162170410156
train per: 0.9261861550427793
train loss: 19.678691864013672
train per: 0.8986903648269411
train loss: 21.36260414123535
train per: 0.9417760192326956
train loss: 17.166967391967773
train per: 0.9317794641474368
train loss: 17.72275161743164
train per: 0.9016892049974264
train loss: 18.386363983154297
train per: 0.9064580313935493
train loss: 18.954439163208008
train per: 0.9203160927134815
train loss: 17.601146697998047
train per: 0.9285488293608943
train loss: 16.385639190673828
train per: 0.8938202957159105
train loss: 16.415603637695312
train per: 0.941442246330568
train loss: 12.690176963806152
train per: 0.909117298434892
train loss: 14.215980529785156
train per: 0.9038085090566692
train loss: 16.423845291137695
train per: 0.9063469371240526
train loss: 17.002824783325195
train per: 0.914253727545672
train loss: 16.047321319580078
train per: 0.9090863378086187
train loss: 14.583050727844238
train per: 0.9008344704523984
train loss: 16.023130416870117
train per: 0.945550693778225
train loss: 18.082666397094727
train per: 0.9307595864972914
train loss: 17.330415725708008
train per: 0.9198810887204854
train loss: 19.093219757080078
train per: 0.9178922811644183
train loss: 19.950332641601562
train per: 0.9566013137441709
train loss: 21.744600296020508
train per: 0.8880117402965437
train loss: 19.766658782958984
train per: 0.9368915073143941
train loss: 20.84457015991211
train per: 0.9109951528341083
train loss: 17.57033920288086
train per: 0.9112728062554301
train loss: 19.687862396240234
train per: 0.916868098014124
train loss: 27.39911460876465
train per: 0.9199494036863028
train loss: 17.30721092224121
train per: 0.9288785889017639
train loss: 16.483760833740234
train per: 0.9232876712328767
train loss: 21.881702423095703
train per: 0.9319074857000746
train loss: 17.56739044189453
train per: 0.9585692922458385
train loss: 17.19425392150879
train per: 0.9230527410345077
train loss: 18.848173141479492
train per: 0.9346638864065138
train loss: 18.552223205566406
train per: 0.9121236207219001
train loss: 18.30372428894043
train per: 0.9259025291874313
train loss: 16.67578887939453
train per: 0.9359205336709354
train loss: 15.263277053833008
train per: 0.9467049272803081
train loss: 15.498003005981445
train per: 0.9680839040708845
train loss: 15.605198860168457
train per: 0.9940466905838923
train loss: 17.28835678100586
train per: 0.9118129080929216
train loss: 19.969667434692383
train per: 0.9120292365741949
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  19%|█▉        | 514/2703 [00:00<00:00, 5137.35it/s]


word -> phonemes:  38%|███▊      | 1028/2703 [00:00<00:00, 4989.81it/s]


word -> phonemes:  57%|█████▋    | 1536/2703 [00:00<00:00, 5027.89it/s]


word -> phonemes:  77%|███████▋  | 2073/2703 [00:00<00:00, 5160.54it/s]


word -> phonemes:  96%|█████████▌| 2590/2703 [00:00<00:00, 4952.75it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5008.81it/s]



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overall:  25%|██▌       | 1005/4000 [21:29<7:47:02,  9.36s/it] 

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train:  55%|█████▍    | 1918/3515 [38:23<26:36,  1.00it/s]
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train:  55%|█████▍    | 1919/3515 [38:24<27:58,  1.05s/it]
overall:  48%|████▊     | 1920/4000 [38:27<37:50,  1.09s/it]

train:  55%|█████▍    | 1920/3515 [38:25<29:01,  1.09s/it]
overall:  48%|████▊     | 1921/4000 [38:28<38:59,  1.13s/it]

train:  55%|█████▍    | 1921/3515 [38:26<29:53,  1.13s/it]
overall:  48%|████▊     | 1922/4000 [38:29<38:25,  1.11s/it]

train:  55%|█████▍    | 1922/3515 [38:27<29:27,  1.11s/it]
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train:  55%|█████▍    | 1923/3515 [38:29<30:36,  1.15s/it]
overall:  48%|████▊     | 1924/4000 [38:32<40:22,  1.17s/it]

train:  55%|█████▍    | 1924/3515 [38:30<30:56,  1.17s/it]
overall:  48%|████▊     | 1925/4000 [38:33<41:28,  1.20s/it]

train:  55%|█████▍    | 1925/3515 [38:31<31:47,  1.20s/it]
overall:  48%|████▊     | 1926/4000 [38:34<41:56,  1.21s/it]

train:  55%|█████▍    | 1926/3515 [38:32<32:08,  1.21s/it]
overall:  48%|████▊     | 1927/4000 [38:35<33:42,  1.02it/s]

train:  55%|█████▍    | 1927/3515 [38:33<25:49,  1.02it/s]
overall:  48%|████▊     | 1928/4000 [38:36<38:55,  1.13s/it]

train:  55%|█████▍    | 1928/3515 [38:34<29:48,  1.13s/it]
overall:  48%|████▊     | 1929/4000 [38:37<39:02,  1.13s/it]

train:  55%|█████▍    | 1929/3515 [38:35<29:54,  1.13s/it]
overall:  48%|████▊     | 1930/4000 [38:39<39:36,  1.15s/it]

train:  55%|█████▍    | 1930/3515 [38:37<30:19,  1.15s/it]
overall:  48%|████▊     | 1931/4000 [38:40<39:38,  1.15s/it]

train:  55%|█████▍    | 1931/3515 [38:38<30:21,  1.15s/it]
overall:  48%|████▊     | 1932/4000 [38:41<40:12,  1.17s/it]

train:  55%|█████▍    | 1932/3515 [38:39<30:46,  1.17s/it]
overall:  48%|████▊     | 1933/4000 [38:42<39:34,  1.15s/it]

train:  55%|█████▍    | 1933/3515 [38:40<30:17,  1.15s/it]
overall:  48%|████▊     | 1934/4000 [38:43<39:58,  1.16s/it]

train:  55%|█████▌    | 1934/3515 [38:41<30:35,  1.16s/it]
overall:  48%|████▊     | 1935/4000 [38:45<41:02,  1.19s/it]

train:  55%|█████▌    | 1935/3515 [38:43<31:23,  1.19s/it]
overall:  48%|████▊     | 1936/4000 [38:46<41:14,  1.20s/it]

train:  55%|█████▌    | 1936/3515 [38:44<31:33,  1.20s/it]
overall:  48%|████▊     | 1937/4000 [38:47<41:00,  1.19s/it]

train:  55%|█████▌    | 1937/3515 [38:45<31:22,  1.19s/it]
overall:  48%|████▊     | 1938/4000 [38:48<41:06,  1.20s/it]

train:  55%|█████▌    | 1938/3515 [38:46<31:26,  1.20s/it]
overall:  48%|████▊     | 1939/4000 [38:49<41:04,  1.20s/it]

train:  55%|█████▌    | 1939/3515 [38:47<31:24,  1.20s/it]
overall:  48%|████▊     | 1940/4000 [38:50<39:47,  1.16s/it]

train:  55%|█████▌    | 1940/3515 [38:48<30:25,  1.16s/it]
overall:  49%|████▊     | 1941/4000 [38:52<39:51,  1.16s/it]

train:  55%|█████▌    | 1941/3515 [38:50<30:27,  1.16s/it]
overall:  49%|████▊     | 1942/4000 [38:53<40:19,  1.18s/it]

train:  55%|█████▌    | 1942/3515 [38:51<30:49,  1.18s/it]
overall:  49%|████▊     | 1943/4000 [38:54<40:26,  1.18s/it]

train:  55%|█████▌    | 1943/3515 [38:52<30:54,  1.18s/it]
overall:  49%|████▊     | 1944/4000 [38:55<39:54,  1.16s/it]

train:  55%|█████▌    | 1944/3515 [38:53<30:29,  1.16s/it]
overall:  49%|████▊     | 1945/4000 [38:56<40:18,  1.18s/it]

train:  55%|█████▌    | 1945/3515 [38:54<30:47,  1.18s/it]
overall:  49%|████▊     | 1946/4000 [38:58<40:46,  1.19s/it]

train:  55%|█████▌    | 1946/3515 [38:56<31:09,  1.19s/it]
overall:  49%|████▊     | 1947/4000 [38:59<41:09,  1.20s/it]

train:  55%|█████▌    | 1947/3515 [38:57<31:25,  1.20s/it]
overall:  49%|████▊     | 1948/4000 [39:00<37:44,  1.10s/it]

train:  55%|█████▌    | 1948/3515 [38:58<28:49,  1.10s/it]
overall:  49%|████▊     | 1949/4000 [39:01<37:53,  1.11s/it]

train:  55%|█████▌    | 1949/3515 [38:59<28:56,  1.11s/it]
overall:  49%|████▉     | 1950/4000 [39:02<39:28,  1.16s/it]

train:  55%|█████▌    | 1950/3515 [39:00<30:07,  1.16s/it]
overall:  49%|████▉     | 1951/4000 [39:03<41:27,  1.21s/it]

train:  56%|█████▌    | 1951/3515 [39:01<31:38,  1.21s/it]
overall:  49%|████▉     | 1952/4000 [39:05<41:15,  1.21s/it]

train:  56%|█████▌    | 1952/3515 [39:03<31:28,  1.21s/it]
overall:  49%|████▉     | 1953/4000 [39:06<41:49,  1.23s/it]

train:  56%|█████▌    | 1953/3515 [39:04<31:54,  1.23s/it]
overall:  49%|████▉     | 1954/4000 [39:07<41:39,  1.22s/it]

train:  56%|█████▌    | 1954/3515 [39:05<31:47,  1.22s/it]
overall:  49%|████▉     | 1955/4000 [39:08<40:33,  1.19s/it]

train:  56%|█████▌    | 1955/3515 [39:06<30:56,  1.19s/it]
overall:  49%|████▉     | 1956/4000 [39:09<39:50,  1.17s/it]

train:  56%|█████▌    | 1956/3515 [39:07<30:23,  1.17s/it]
overall:  49%|████▉     | 1957/4000 [39:10<39:44,  1.17s/it]

train:  56%|█████▌    | 1957/3515 [39:08<30:18,  1.17s/it]
overall:  49%|████▉     | 1958/4000 [39:12<39:50,  1.17s/it]

train:  56%|█████▌    | 1958/3515 [39:10<30:22,  1.17s/it]
overall:  49%|████▉     | 1959/4000 [39:13<40:12,  1.18s/it]

train:  56%|█████▌    | 1959/3515 [39:11<30:39,  1.18s/it]
overall:  49%|████▉     | 1960/4000 [39:14<40:43,  1.20s/it]

train:  56%|█████▌    | 1960/3515 [39:12<31:02,  1.20s/it]
overall:  49%|████▉     | 1961/4000 [39:15<41:23,  1.22s/it]

train:  56%|█████▌    | 1961/3515 [39:13<31:32,  1.22s/it]
overall:  49%|████▉     | 1962/4000 [39:17<41:22,  1.22s/it]

train:  56%|█████▌    | 1962/3515 [39:15<31:31,  1.22s/it]
overall:  49%|████▉     | 1963/4000 [39:18<40:29,  1.19s/it]

train:  56%|█████▌    | 1963/3515 [39:16<30:50,  1.19s/it]
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train:  56%|█████▌    | 1964/3515 [39:17<31:01,  1.20s/it]
overall:  49%|████▉     | 1965/4000 [39:20<37:57,  1.12s/it]

train:  56%|█████▌    | 1965/3515 [39:18<28:54,  1.12s/it]
overall:  49%|████▉     | 1966/4000 [39:21<39:04,  1.15s/it]

train:  56%|█████▌    | 1966/3515 [39:19<29:45,  1.15s/it]
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train:  56%|█████▌    | 1967/3515 [39:20<29:29,  1.14s/it]
overall:  49%|████▉     | 1968/4000 [39:23<32:16,  1.05it/s]

train:  56%|█████▌    | 1968/3515 [39:21<24:34,  1.05it/s]
overall:  49%|████▉     | 1969/4000 [39:24<34:14,  1.01s/it]

train:  56%|█████▌    | 1969/3515 [39:22<26:03,  1.01s/it]
overall:  49%|████▉     | 1970/4000 [39:25<36:14,  1.07s/it]

train:  56%|█████▌    | 1970/3515 [39:23<27:35,  1.07s/it]
overall:  49%|████▉     | 1971/4000 [39:26<37:14,  1.10s/it]

train:  56%|█████▌    | 1971/3515 [39:24<28:20,  1.10s/it]
overall:  49%|████▉     | 1972/4000 [39:27<38:18,  1.13s/it]

train:  56%|█████▌    | 1972/3515 [39:25<29:08,  1.13s/it]
overall:  49%|████▉     | 1973/4000 [39:29<39:30,  1.17s/it]

train:  56%|█████▌    | 1973/3515 [39:27<30:03,  1.17s/it]
overall:  49%|████▉     | 1974/4000 [39:30<39:47,  1.18s/it]

train:  56%|█████▌    | 1974/3515 [39:28<30:16,  1.18s/it]
overall:  49%|████▉     | 1975/4000 [39:31<33:39,  1.00it/s]

train:  56%|█████▌    | 1975/3515 [39:28<25:35,  1.00it/s]
overall:  49%|████▉     | 1976/4000 [39:32<38:14,  1.13s/it]

train:  56%|█████▌    | 1976/3515 [39:30<29:04,  1.13s/it]
overall:  49%|████▉     | 1977/4000 [39:33<39:03,  1.16s/it]

train:  56%|█████▌    | 1977/3515 [39:31<29:41,  1.16s/it]
overall:  49%|████▉     | 1978/4000 [39:34<38:59,  1.16s/it]

train:  56%|█████▋    | 1978/3515 [39:32<29:38,  1.16s/it]
overall:  49%|████▉     | 1979/4000 [39:36<39:24,  1.17s/it]

train:  56%|█████▋    | 1979/3515 [39:33<29:56,  1.17s/it]
overall:  50%|████▉     | 1980/4000 [39:37<39:11,  1.16s/it]

train:  56%|█████▋    | 1980/3515 [39:35<29:47,  1.16s/it]
overall:  50%|████▉     | 1981/4000 [39:38<38:06,  1.13s/it]

train:  56%|█████▋    | 1981/3515 [39:36<28:57,  1.13s/it]
overall:  50%|████▉     | 1982/4000 [39:39<38:57,  1.16s/it]

train:  56%|█████▋    | 1982/3515 [39:37<29:35,  1.16s/it]
overall:  50%|████▉     | 1983/4000 [39:40<40:11,  1.20s/it]

train:  56%|█████▋    | 1983/3515 [39:38<30:31,  1.20s/it]
overall:  50%|████▉     | 1984/4000 [39:41<40:44,  1.21s/it]

train:  56%|█████▋    | 1984/3515 [39:39<30:56,  1.21s/it]
overall:  50%|████▉     | 1985/4000 [39:43<40:42,  1.21s/it]

train:  56%|█████▋    | 1985/3515 [39:41<30:54,  1.21s/it]
overall:  50%|████▉     | 1986/4000 [39:44<40:39,  1.21s/it]

train:  57%|█████▋    | 1986/3515 [39:42<30:52,  1.21s/it]
overall:  50%|████▉     | 1987/4000 [39:45<40:29,  1.21s/it]

train:  57%|█████▋    | 1987/3515 [39:43<30:44,  1.21s/it]
overall:  50%|████▉     | 1988/4000 [39:46<39:34,  1.18s/it]

train:  57%|█████▋    | 1988/3515 [39:44<30:01,  1.18s/it]
overall:  50%|████▉     | 1989/4000 [39:47<39:32,  1.18s/it]

train:  57%|█████▋    | 1989/3515 [39:45<30:00,  1.18s/it]
overall:  50%|████▉     | 1990/4000 [39:49<39:17,  1.17s/it]

train:  57%|█████▋    | 1990/3515 [39:47<29:48,  1.17s/it]
overall:  50%|████▉     | 1991/4000 [39:50<39:23,  1.18s/it]

train:  57%|█████▋    | 1991/3515 [39:48<29:52,  1.18s/it]
overall:  50%|████▉     | 1992/4000 [39:51<39:52,  1.19s/it]

train:  57%|█████▋    | 1992/3515 [39:49<30:14,  1.19s/it]
overall:  50%|████▉     | 1993/4000 [39:52<40:29,  1.21s/it]

train:  57%|█████▋    | 1993/3515 [39:50<30:42,  1.21s/it]
overall:  50%|████▉     | 1994/4000 [39:53<38:27,  1.15s/it]

train:  57%|█████▋    | 1994/3515 [39:51<29:09,  1.15s/it]
overall:  50%|████▉     | 1995/4000 [39:54<38:13,  1.14s/it]

train:  57%|█████▋    | 1995/3515 [39:52<28:58,  1.14s/it]
overall:  50%|████▉     | 1996/4000 [39:56<38:19,  1.15s/it]

train:  57%|█████▋    | 1996/3515 [39:53<29:03,  1.15s/it]
overall:  50%|████▉     | 1997/4000 [39:57<39:28,  1.18s/it]

train:  57%|█████▋    | 1997/3515 [39:55<29:54,  1.18s/it]
overall:  50%|████▉     | 1998/4000 [39:58<39:50,  1.19s/it]

train:  57%|█████▋    | 1998/3515 [39:56<30:11,  1.19s/it]
overall:  50%|████▉     | 1999/4000 [39:59<40:58,  1.23s/it]

train:  57%|█████▋    | 1999/3515 [39:57<31:02,  1.23s/it]dev loss: 25.65972137451172
dev per: 0.8703485952133194
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 18.25008773803711
train per: 0.89487922705314
train loss: 17.794933319091797
train per: 0.8975507108077027
train loss: 16.269031524658203
train per: 0.9610416666666667
train loss: 14.746015548706055
train per: 0.9227871414220337
train loss: 17.380983352661133
train per: 0.9666956060386823
train loss: 15.360023498535156
train per: 0.9730197854906402
train loss: 12.198827743530273
train per: 0.9172801334903808
train loss: 16.563030242919922
train per: 1.0225306512393184
train loss: 16.35931968688965
train per: 0.9140230265882547
train loss: 14.708282470703125
train per: 0.9365083670093027
train loss: 13.00108814239502
train per: 0.9052182626345675
train loss: 12.312761306762695
train per: 0.9353010117438829
train loss: 10.128374099731445
train per: 0.9229170602682789
train loss: 8.291064262390137
train per: 0.8742733605572904
train loss: 10.959823608398438
train per: 0.9352254305382609
train loss: 12.409689903259277
train per: 1.003012978986403
train loss: 10.739469528198242
train per: 0.8660170863811492
train loss: 9.449934005737305
train per: 0.8532830265123699
train loss: 11.102505683898926
train per: 0.9453501540730596
train loss: 9.263428688049316
train per: 0.8199575576348027
train loss: 7.7274370193481445
train per: 0.8152147885637661
train loss: 7.969905853271484
train per: 0.780369083906335
train loss: 7.0204949378967285
train per: 0.8231063681707459
train loss: 6.293933391571045
train per: 0.7795708549653462
train loss: 10.137043952941895
train per: 1.0248133832944857
train loss: 10.422443389892578
train per: 0.8104479754953575
train loss: 18.926624298095703
train per: 1.0608158883521202
train loss: 11.767240524291992
train per: 0.7855167906696159
train loss: 9.75605583190918
train per: 0.7715315981692941
train loss: 12.441272735595703
train per: 0.7910272750446087
train loss: 8.685551643371582
train per: 0.8067106133527976
train loss: 7.047104835510254
train per: 0.7732611726892444
train loss: 9.307785034179688
train per: 0.8484685652874798
train loss: 7.099769592285156
train per: 0.7347121898694423
train loss: 6.681872367858887
train per: 0.798810729401989
train loss: 7.7264556884765625
train per: 0.7902936918811493
train loss: 9.381025314331055
train per: 0.7722332015810277
train loss: 9.725236892700195
train per: 0.7696071052235436
train loss: 9.575895309448242
train per: 0.795202282784804
train loss: 7.692872524261475
train per: 0.7464462645323509
train loss: 6.923641204833984
train per: 0.7286126953558996
train loss: 8.988470077514648
train per: 0.8350515463917526
train loss: 8.706154823303223
train per: 0.7678660794715244
train loss: 9.116312980651855
train per: 0.8087896078669419
train loss: 7.922176361083984
train per: 0.7396163344725223
train loss: 9.50446605682373
train per: 0.7789255663430421
train loss: 11.035449028015137
train per: 0.7979890741264011
train loss: 8.551512718200684
train per: 0.7540475288771066
train loss: 9.697458267211914
train per: 0.765552750631108
train loss: 8.00800895690918
train per: 0.7922907838382923
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  21%|██        | 568/2703 [00:00<00:00, 5677.84it/s]


word -> phonemes:  42%|████▏     | 1136/2703 [00:00<00:00, 5205.90it/s]


word -> phonemes:  64%|██████▎   | 1720/2703 [00:00<00:00, 5480.57it/s]


word -> phonemes:  85%|████████▌ | 2298/2703 [00:00<00:00, 5593.78it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5510.01it/s]



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


dev:   0%|          | 1/2703 [00:01<1:00:24,  1.34s/it]


dev:   0%|          | 2/2703 [00:01<30:35,  1.47it/s]  


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dev:   0%|          | 10/2703 [00:03<09:48,  4.57it/s]


dev:   0%|          | 11/2703 [00:03<09:03,  4.95it/s]


dev:   0%|          | 12/2703 [00:03<09:18,  4.82it/s]


dev:   0%|          | 13/2703 [00:03<08:46,  5.11it/s]


dev:   1%|          | 14/2703 [00:03<08:18,  5.40it/s]


dev:   1%|          | 15/2703 [00:04<08:26,  5.31it/s]


dev:   1%|          | 16/2703 [00:04<07:51,  5.70it/s]


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dev: 100%|██████████| 2703/2703 [02:45<00:00, 16.38it/s]

                                                            

                                                          

overall:  50%|████▉     | 1999/4000 [42:48<40:58,  1.23s/it]

train:  57%|█████▋    | 1999/3515 [42:46<31:02,  1.23s/it]
                                                            

                                                          

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train:  57%|█████▋    | 1999/3515 [42:46<31:02,  1.23s/it]
overall:  50%|█████     | 2000/4000 [42:48<28:32:19, 51.37s/it]

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overall:  50%|█████     | 2001/4000 [42:48<20:04:13, 36.14s/it]

train:  57%|█████▋    | 2001/3515 [42:46<15:12:03, 36.14s/it]
overall:  50%|█████     | 2002/4000 [42:50<14:14:58, 25.68s/it]

train:  57%|█████▋    | 2002/3515 [42:48<10:47:26, 25.68s/it]
overall:  50%|█████     | 2003/4000 [42:51<10:10:34, 18.34s/it]

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overall:  50%|█████     | 2004/4000 [42:52<7:19:10, 13.20s/it] 

train:  57%|█████▋    | 2004/3515 [42:50<5:32:27, 13.20s/it]
overall:  50%|█████     | 2005/4000 [42:53<5:18:39,  9.58s/it]

train:  57%|█████▋    | 2005/3515 [42:51<4:01:11,  9.58s/it]
overall:  50%|█████     | 2006/4000 [42:54<3:54:17,  7.05s/it]

train:  57%|█████▋    | 2006/3515 [42:52<2:57:18,  7.05s/it]
overall:  50%|█████     | 2007/4000 [42:56<2:56:21,  5.31s/it]

train:  57%|█████▋    | 2007/3515 [42:53<2:13:26,  5.31s/it]
overall:  50%|█████     | 2008/4000 [42:56<2:12:39,  4.00s/it]

train:  57%|█████▋    | 2008/3515 [42:54<1:40:21,  4.00s/it]
overall:  50%|█████     | 2009/4000 [42:57<1:43:15,  3.11s/it]

train:  57%|█████▋    | 2009/3515 [42:55<1:18:06,  3.11s/it]
overall:  50%|█████     | 2010/4000 [42:59<1:24:38,  2.55s/it]

train:  57%|█████▋    | 2010/3515 [42:57<1:04:00,  2.55s/it]
overall:  50%|█████     | 2011/4000 [43:00<1:11:42,  2.16s/it]

train:  57%|█████▋    | 2011/3515 [42:58<54:13,  2.16s/it]  
overall:  50%|█████     | 2012/4000 [43:01<1:02:30,  1.89s/it]

train:  57%|█████▋    | 2012/3515 [42:59<47:15,  1.89s/it]
overall:  50%|█████     | 2013/4000 [43:02<47:58,  1.45s/it]  

train:  57%|█████▋    | 2013/3515 [43:00<36:16,  1.45s/it]
overall:  50%|█████     | 2014/4000 [43:03<46:05,  1.39s/it]

train:  57%|█████▋    | 2014/3515 [43:01<34:50,  1.39s/it]
overall:  50%|█████     | 2015/4000 [43:04<44:05,  1.33s/it]

train:  57%|█████▋    | 2015/3515 [43:02<33:19,  1.33s/it]
overall:  50%|█████     | 2016/4000 [43:05<39:28,  1.19s/it]

train:  57%|█████▋    | 2016/3515 [43:03<29:49,  1.19s/it]
overall:  50%|█████     | 2017/4000 [43:06<39:59,  1.21s/it]

train:  57%|█████▋    | 2017/3515 [43:04<30:12,  1.21s/it]
overall:  50%|█████     | 2018/4000 [43:07<39:55,  1.21s/it]

train:  57%|█████▋    | 2018/3515 [43:05<30:09,  1.21s/it]
overall:  50%|█████     | 2019/4000 [43:09<39:48,  1.21s/it]

train:  57%|█████▋    | 2019/3515 [43:07<30:03,  1.21s/it]
overall:  50%|█████     | 2020/4000 [43:10<39:50,  1.21s/it]

train:  57%|█████▋    | 2020/3515 [43:08<30:04,  1.21s/it]
overall:  51%|█████     | 2021/4000 [43:11<39:10,  1.19s/it]

train:  57%|█████▋    | 2021/3515 [43:09<29:34,  1.19s/it]
overall:  51%|█████     | 2022/4000 [43:12<38:35,  1.17s/it]

train:  58%|█████▊    | 2022/3515 [43:10<29:07,  1.17s/it]
overall:  51%|█████     | 2023/4000 [43:13<39:44,  1.21s/it]

train:  58%|█████▊    | 2023/3515 [43:11<29:59,  1.21s/it]
overall:  51%|█████     | 2024/4000 [43:15<42:41,  1.30s/it]

train:  58%|█████▊    | 2024/3515 [43:13<32:12,  1.30s/it]
overall:  51%|█████     | 2025/4000 [43:16<41:42,  1.27s/it]

train:  58%|█████▊    | 2025/3515 [43:14<31:27,  1.27s/it]
overall:  51%|█████     | 2026/4000 [43:17<41:29,  1.26s/it]

train:  58%|█████▊    | 2026/3515 [43:15<31:18,  1.26s/it]
overall:  51%|█████     | 2027/4000 [43:18<36:14,  1.10s/it]

train:  58%|█████▊    | 2027/3515 [43:16<27:20,  1.10s/it]
overall:  51%|█████     | 2028/4000 [43:19<33:55,  1.03s/it]

train:  58%|█████▊    | 2028/3515 [43:17<25:35,  1.03s/it]
overall:  51%|█████     | 2029/4000 [43:20<34:34,  1.05s/it]

train:  58%|█████▊    | 2029/3515 [43:18<26:03,  1.05s/it]
overall:  51%|█████     | 2030/4000 [43:21<35:55,  1.09s/it]

train:  58%|█████▊    | 2030/3515 [43:19<27:04,  1.09s/it]
overall:  51%|█████     | 2031/4000 [43:22<32:36,  1.01it/s]

train:  58%|█████▊    | 2031/3515 [43:20<24:34,  1.01it/s]
overall:  51%|█████     | 2032/4000 [43:23<34:44,  1.06s/it]

train:  58%|█████▊    | 2032/3515 [43:21<26:10,  1.06s/it]
overall:  51%|█████     | 2033/4000 [43:24<33:56,  1.04s/it]

train:  58%|█████▊    | 2033/3515 [43:22<25:34,  1.04s/it]
overall:  51%|█████     | 2034/4000 [43:25<35:38,  1.09s/it]

train:  58%|█████▊    | 2034/3515 [43:23<26:51,  1.09s/it]
overall:  51%|█████     | 2035/4000 [43:27<36:14,  1.11s/it]

train:  58%|█████▊    | 2035/3515 [43:25<27:17,  1.11s/it]
overall:  51%|█████     | 2036/4000 [43:28<36:58,  1.13s/it]

train:  58%|█████▊    | 2036/3515 [43:26<27:50,  1.13s/it]
overall:  51%|█████     | 2037/4000 [43:29<36:37,  1.12s/it]

train:  58%|█████▊    | 2037/3515 [43:27<27:34,  1.12s/it]
overall:  51%|█████     | 2038/4000 [43:30<37:30,  1.15s/it]

train:  58%|█████▊    | 2038/3515 [43:28<28:13,  1.15s/it]
overall:  51%|█████     | 2039/4000 [43:31<38:22,  1.17s/it]

train:  58%|█████▊    | 2039/3515 [43:29<28:53,  1.17s/it]
overall:  51%|█████     | 2040/4000 [43:32<38:34,  1.18s/it]

train:  58%|█████▊    | 2040/3515 [43:30<29:02,  1.18s/it]
overall:  51%|█████     | 2041/4000 [43:34<38:34,  1.18s/it]

train:  58%|█████▊    | 2041/3515 [43:32<29:01,  1.18s/it]
overall:  51%|█████     | 2042/4000 [43:35<38:12,  1.17s/it]

train:  58%|█████▊    | 2042/3515 [43:33<28:44,  1.17s/it]
overall:  51%|█████     | 2043/4000 [43:36<38:28,  1.18s/it]

train:  58%|█████▊    | 2043/3515 [43:34<28:56,  1.18s/it]
overall:  51%|█████     | 2044/4000 [43:37<39:14,  1.20s/it]

train:  58%|█████▊    | 2044/3515 [43:35<29:30,  1.20s/it]
overall:  51%|█████     | 2045/4000 [43:38<38:05,  1.17s/it]

train:  58%|█████▊    | 2045/3515 [43:36<28:38,  1.17s/it]
overall:  51%|█████     | 2046/4000 [43:40<38:24,  1.18s/it]

train:  58%|█████▊    | 2046/3515 [43:38<28:52,  1.18s/it]
overall:  51%|█████     | 2047/4000 [43:41<39:45,  1.22s/it]

train:  58%|█████▊    | 2047/3515 [43:39<29:53,  1.22s/it]
overall:  51%|█████     | 2048/4000 [43:42<39:44,  1.22s/it]

train:  58%|█████▊    | 2048/3515 [43:40<29:51,  1.22s/it]
overall:  51%|█████     | 2049/4000 [43:43<39:38,  1.22s/it]

train:  58%|█████▊    | 2049/3515 [43:41<29:46,  1.22s/it]
overall:  51%|█████▏    | 2050/4000 [43:45<39:33,  1.22s/it]

train:  58%|█████▊    | 2050/3515 [43:43<29:43,  1.22s/it]
overall:  51%|█████▏    | 2051/4000 [43:46<39:23,  1.21s/it]

train:  58%|█████▊    | 2051/3515 [43:44<29:35,  1.21s/it]
overall:  51%|█████▏    | 2052/4000 [43:47<37:45,  1.16s/it]

train:  58%|█████▊    | 2052/3515 [43:45<28:21,  1.16s/it]
overall:  51%|█████▏    | 2053/4000 [43:48<36:54,  1.14s/it]

train:  58%|█████▊    | 2053/3515 [43:46<27:43,  1.14s/it]
overall:  51%|█████▏    | 2054/4000 [43:48<31:10,  1.04it/s]

train:  58%|█████▊    | 2054/3515 [43:46<23:24,  1.04it/s]
overall:  51%|█████▏    | 2055/4000 [43:49<32:16,  1.00it/s]

train:  58%|█████▊    | 2055/3515 [43:47<24:13,  1.00it/s]
overall:  51%|█████▏    | 2056/4000 [43:51<33:47,  1.04s/it]

train:  58%|█████▊    | 2056/3515 [43:49<25:21,  1.04s/it]
overall:  51%|█████▏    | 2057/4000 [43:52<35:22,  1.09s/it]

train:  59%|█████▊    | 2057/3515 [43:50<26:32,  1.09s/it]
overall:  51%|█████▏    | 2058/4000 [43:53<36:30,  1.13s/it]

train:  59%|█████▊    | 2058/3515 [43:51<27:23,  1.13s/it]
overall:  51%|█████▏    | 2059/4000 [43:54<37:44,  1.17s/it]

train:  59%|█████▊    | 2059/3515 [43:52<28:18,  1.17s/it]
overall:  52%|█████▏    | 2060/4000 [43:56<38:03,  1.18s/it]

train:  59%|█████▊    | 2060/3515 [43:53<28:32,  1.18s/it]
overall:  52%|█████▏    | 2061/4000 [43:56<35:02,  1.08s/it]

train:  59%|█████▊    | 2061/3515 [43:54<26:16,  1.08s/it]
overall:  52%|█████▏    | 2062/4000 [43:58<36:55,  1.14s/it]

train:  59%|█████▊    | 2062/3515 [43:56<27:40,  1.14s/it]
overall:  52%|█████▏    | 2063/4000 [43:59<35:21,  1.10s/it]

train:  59%|█████▊    | 2063/3515 [43:57<26:30,  1.10s/it]
overall:  52%|█████▏    | 2064/4000 [43:59<28:51,  1.12it/s]

train:  59%|█████▊    | 2064/3515 [43:57<21:37,  1.12it/s]
overall:  52%|█████▏    | 2065/4000 [44:00<32:19,  1.00s/it]

train:  59%|█████▊    | 2065/3515 [43:58<24:13,  1.00s/it]
overall:  52%|█████▏    | 2066/4000 [44:01<31:35,  1.02it/s]

train:  59%|█████▉    | 2066/3515 [43:59<23:39,  1.02it/s]
overall:  52%|█████▏    | 2067/4000 [44:02<33:43,  1.05s/it]

train:  59%|█████▉    | 2067/3515 [44:00<25:15,  1.05s/it]
overall:  52%|█████▏    | 2068/4000 [44:04<34:19,  1.07s/it]

train:  59%|█████▉    | 2068/3515 [44:02<25:42,  1.07s/it]
overall:  52%|█████▏    | 2069/4000 [44:05<38:08,  1.19s/it]

train:  59%|█████▉    | 2069/3515 [44:03<28:33,  1.19s/it]
overall:  52%|█████▏    | 2070/4000 [44:06<38:13,  1.19s/it]

train:  59%|█████▉    | 2070/3515 [44:04<28:37,  1.19s/it]
overall:  52%|█████▏    | 2071/4000 [44:08<39:49,  1.24s/it]

train:  59%|█████▉    | 2071/3515 [44:06<29:48,  1.24s/it]
overall:  52%|█████▏    | 2072/4000 [44:09<39:06,  1.22s/it]

train:  59%|█████▉    | 2072/3515 [44:07<29:16,  1.22s/it]
overall:  52%|█████▏    | 2073/4000 [44:10<39:19,  1.22s/it]

train:  59%|█████▉    | 2073/3515 [44:08<29:25,  1.22s/it]
overall:  52%|█████▏    | 2074/4000 [44:11<39:10,  1.22s/it]

train:  59%|█████▉    | 2074/3515 [44:09<29:18,  1.22s/it]
overall:  52%|█████▏    | 2075/4000 [44:12<36:24,  1.13s/it]

train:  59%|█████▉    | 2075/3515 [44:10<27:13,  1.13s/it]
overall:  52%|█████▏    | 2076/4000 [44:13<37:27,  1.17s/it]

train:  59%|█████▉    | 2076/3515 [44:11<28:00,  1.17s/it]
overall:  52%|█████▏    | 2077/4000 [44:15<37:08,  1.16s/it]

train:  59%|█████▉    | 2077/3515 [44:12<27:46,  1.16s/it]
overall:  52%|█████▏    | 2078/4000 [44:16<37:11,  1.16s/it]

train:  59%|█████▉    | 2078/3515 [44:14<27:48,  1.16s/it]
overall:  52%|█████▏    | 2079/4000 [44:17<36:43,  1.15s/it]

train:  59%|█████▉    | 2079/3515 [44:15<27:27,  1.15s/it]
overall:  52%|█████▏    | 2080/4000 [44:18<37:12,  1.16s/it]

train:  59%|█████▉    | 2080/3515 [44:16<27:48,  1.16s/it]
overall:  52%|█████▏    | 2081/4000 [44:19<37:10,  1.16s/it]

train:  59%|█████▉    | 2081/3515 [44:17<27:46,  1.16s/it]
overall:  52%|█████▏    | 2082/4000 [44:20<38:11,  1.19s/it]

train:  59%|█████▉    | 2082/3515 [44:18<28:31,  1.19s/it]
overall:  52%|█████▏    | 2083/4000 [44:22<38:08,  1.19s/it]

train:  59%|█████▉    | 2083/3515 [44:20<28:29,  1.19s/it]
overall:  52%|█████▏    | 2084/4000 [44:23<37:58,  1.19s/it]

train:  59%|█████▉    | 2084/3515 [44:21<28:21,  1.19s/it]
overall:  52%|█████▏    | 2085/4000 [44:24<38:42,  1.21s/it]

train:  59%|█████▉    | 2085/3515 [44:22<28:54,  1.21s/it]
overall:  52%|█████▏    | 2086/4000 [44:25<37:08,  1.16s/it]

train:  59%|█████▉    | 2086/3515 [44:23<27:43,  1.16s/it]
overall:  52%|█████▏    | 2087/4000 [44:26<37:25,  1.17s/it]

train:  59%|█████▉    | 2087/3515 [44:24<27:55,  1.17s/it]
overall:  52%|█████▏    | 2088/4000 [44:27<37:05,  1.16s/it]

train:  59%|█████▉    | 2088/3515 [44:25<27:40,  1.16s/it]
overall:  52%|█████▏    | 2089/4000 [44:29<37:18,  1.17s/it]

train:  59%|█████▉    | 2089/3515 [44:27<27:50,  1.17s/it]
overall:  52%|█████▏    | 2090/4000 [44:30<37:30,  1.18s/it]

train:  59%|█████▉    | 2090/3515 [44:28<27:59,  1.18s/it]
overall:  52%|█████▏    | 2091/4000 [44:31<36:51,  1.16s/it]

train:  59%|█████▉    | 2091/3515 [44:29<27:30,  1.16s/it]
overall:  52%|█████▏    | 2092/4000 [44:32<36:55,  1.16s/it]

train:  60%|█████▉    | 2092/3515 [44:30<27:32,  1.16s/it]
overall:  52%|█████▏    | 2093/4000 [44:33<32:01,  1.01s/it]

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overall:  52%|█████▏    | 2094/4000 [44:34<33:54,  1.07s/it]

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overall:  52%|█████▏    | 2095/4000 [44:34<27:39,  1.15it/s]

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overall:  52%|█████▏    | 2096/4000 [44:36<32:48,  1.03s/it]

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overall:  52%|█████▏    | 2097/4000 [44:37<33:31,  1.06s/it]

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overall:  52%|█████▏    | 2098/4000 [44:38<34:56,  1.10s/it]

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overall:  52%|█████▏    | 2099/4000 [44:39<35:00,  1.10s/it]

train:  60%|█████▉    | 2099/3515 [44:37<26:04,  1.10s/it]
overall:  52%|█████▎    | 2100/4000 [44:40<35:13,  1.11s/it]

train:  60%|█████▉    | 2100/3515 [44:38<26:13,  1.11s/it]
overall:  53%|█████▎    | 2101/4000 [44:41<34:02,  1.08s/it]

train:  60%|█████▉    | 2101/3515 [44:39<25:21,  1.08s/it]
overall:  53%|█████▎    | 2102/4000 [44:42<34:31,  1.09s/it]

train:  60%|█████▉    | 2102/3515 [44:40<25:41,  1.09s/it]
overall:  53%|█████▎    | 2103/4000 [44:43<33:11,  1.05s/it]

train:  60%|█████▉    | 2103/3515 [44:41<24:42,  1.05s/it]
overall:  53%|█████▎    | 2104/4000 [44:45<33:33,  1.06s/it]

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train:  85%|████████▍ | 2979/3515 [1:00:52<08:08,  1.10it/s]
overall:  74%|███████▍  | 2980/4000 [1:00:55<14:18,  1.19it/s]

train:  85%|████████▍ | 2980/3515 [1:00:53<07:30,  1.19it/s]
overall:  75%|███████▍  | 2981/4000 [1:00:56<16:06,  1.05it/s]

train:  85%|████████▍ | 2981/3515 [1:00:54<08:26,  1.05it/s]
overall:  75%|███████▍  | 2982/4000 [1:00:57<16:49,  1.01it/s]

train:  85%|████████▍ | 2982/3515 [1:00:55<08:48,  1.01it/s]
overall:  75%|███████▍  | 2983/4000 [1:00:58<15:13,  1.11it/s]

train:  85%|████████▍ | 2983/3515 [1:00:56<07:57,  1.11it/s]
overall:  75%|███████▍  | 2984/4000 [1:01:00<18:04,  1.07s/it]

train:  85%|████████▍ | 2984/3515 [1:00:58<09:26,  1.07s/it]
overall:  75%|███████▍  | 2985/4000 [1:01:01<18:15,  1.08s/it]

train:  85%|████████▍ | 2985/3515 [1:00:59<09:32,  1.08s/it]
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train:  85%|████████▌ | 2994/3515 [1:01:09<08:42,  1.00s/it]
overall:  75%|███████▍  | 2995/4000 [1:01:12<17:44,  1.06s/it]

train:  85%|████████▌ | 2995/3515 [1:01:10<09:10,  1.06s/it]
overall:  75%|███████▍  | 2996/4000 [1:01:13<18:46,  1.12s/it]

train:  85%|████████▌ | 2996/3515 [1:01:11<09:42,  1.12s/it]
overall:  75%|███████▍  | 2997/4000 [1:01:14<19:03,  1.14s/it]

train:  85%|████████▌ | 2997/3515 [1:01:12<09:50,  1.14s/it]
overall:  75%|███████▍  | 2998/4000 [1:01:16<19:27,  1.17s/it]

train:  85%|████████▌ | 2998/3515 [1:01:14<10:02,  1.17s/it]
overall:  75%|███████▍  | 2999/4000 [1:01:17<18:20,  1.10s/it]

train:  85%|████████▌ | 2999/3515 [1:01:15<09:27,  1.10s/it]dev loss: 9.568220138549805
dev per: 0.7447398543184183
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 7.383835792541504
train per: 0.7627327660623998
train loss: 7.0814032554626465
train per: 0.7422473505152116
train loss: 5.13889217376709
train per: 0.6932577493667833
train loss: 5.909526348114014
train per: 0.7276878058624691
train loss: 7.5905609130859375
train per: 0.7434285431414286
train loss: 9.380109786987305
train per: 0.7938455626012243
train loss: 9.80803108215332
train per: 0.8169886447426633
train loss: 9.426965713500977
train per: 0.7200055321208768
train loss: 7.107668876647949
train per: 0.7175966686496134
train loss: 5.793496131896973
train per: 0.6860280870829806
train loss: 6.122466087341309
train per: 0.738294551645857
train loss: 7.9161272048950195
train per: 0.8068950994254084
train loss: 9.305109977722168
train per: 0.7898393182897269
train loss: 8.769465446472168
train per: 0.7913850940736059
train loss: 9.791183471679688
train per: 0.7958488454145072
train loss: 7.149744510650635
train per: 0.7379658194995348
train loss: 8.558629989624023
train per: 0.7243081525804039
train loss: 13.176240921020508
train per: 0.7513968857248206
train loss: 10.529278755187988
train per: 0.7285776424532405
train loss: 11.420797348022461
train per: 0.7153416213957375
train loss: 10.288957595825195
train per: 0.7305295563444971
train loss: 9.662518501281738
train per: 0.7495030889067956
train loss: 9.413629531860352
train per: 0.7697448215177531
train loss: 6.7139997482299805
train per: 0.7953585964557474
train loss: 7.454756259918213
train per: 0.7510294032360958
train loss: 8.126753807067871
train per: 0.7453420796647794
train loss: 8.368268966674805
train per: 0.7604732890046267
train loss: 6.298693656921387
train per: 0.6872728171904751
train loss: 5.471840858459473
train per: 0.6966577976940671
train loss: 6.613677978515625
train per: 0.7483350944879955
train loss: 11.912959098815918
train per: 0.9353372781065089
train loss: 9.280546188354492
train per: 0.7418556163669533
train loss: 6.80728816986084
train per: 0.706636053917938
train loss: 10.26094913482666
train per: 0.7645998963987297
train loss: 9.503460884094238
train per: 0.728050247227048
train loss: 8.939542770385742
train per: 0.7660110402486736
train loss: 7.11188268661499
train per: 0.7062287425757653
train loss: 8.077479362487793
train per: 0.7692207283644433
train loss: 6.95968770980835
train per: 0.7064005753326141
train loss: 6.181849956512451
train per: 0.6888953460215991
train loss: 5.9382758140563965
train per: 0.7144872775970921
train loss: 7.5668158531188965
train per: 0.7531258935766462
train loss: 12.342805862426758
train per: 0.8820794917486635
train loss: 10.029052734375
train per: 0.7071159226371487
train loss: 8.379152297973633
train per: 0.7096219476705733
train loss: 6.372586250305176
train per: 0.704582651391162
train loss: 6.969839572906494
train per: 0.7354707895070334
train loss: 5.728309631347656
train per: 0.6794813521207627
train loss: 7.224277496337891
train per: 0.7341606618628236
train loss: 8.063156127929688
train per: 0.7479667108000757
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  20%|██        | 554/2703 [00:00<00:00, 5535.45it/s]


word -> phonemes:  42%|████▏     | 1129/2703 [00:00<00:00, 5656.36it/s]


word -> phonemes:  63%|██████▎   | 1695/2703 [00:00<00:00, 5388.39it/s]


word -> phonemes:  84%|████████▎ | 2261/2703 [00:00<00:00, 5488.86it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5328.46it/s]



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train:  86%|████████▋ | 3034/3515 [1:04:43<09:37,  1.20s/it]
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train:  86%|████████▋ | 3035/3515 [1:04:44<09:34,  1.20s/it]
overall:  76%|███████▌  | 3036/4000 [1:04:47<19:28,  1.21s/it]

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overall:  78%|███████▊  | 3101/4000 [1:05:58<11:49,  1.27it/s]

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overall:  80%|████████  | 3212/4000 [1:08:02<11:25,  1.15it/s]

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overall:  80%|████████  | 3213/4000 [1:08:02<09:59,  1.31it/s]

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overall:  80%|████████  | 3214/4000 [1:08:04<11:13,  1.17it/s]

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overall:  80%|████████  | 3215/4000 [1:08:05<12:51,  1.02it/s]

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overall:  80%|████████  | 3216/4000 [1:08:06<13:27,  1.03s/it]

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overall:  80%|████████  | 3217/4000 [1:08:07<14:25,  1.10s/it]

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overall:  80%|████████  | 3219/4000 [1:08:10<14:47,  1.14s/it]

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overall:  80%|████████  | 3220/4000 [1:08:11<14:46,  1.14s/it]

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overall:  81%|████████  | 3221/4000 [1:08:12<15:06,  1.16s/it]

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overall:  81%|████████  | 3225/4000 [1:08:17<16:27,  1.27s/it]

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overall:  81%|████████  | 3226/4000 [1:08:18<16:25,  1.27s/it]

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overall:  81%|████████  | 3228/4000 [1:08:21<15:42,  1.22s/it]

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overall:  81%|████████  | 3230/4000 [1:08:23<13:08,  1.02s/it]

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overall:  81%|████████  | 3232/4000 [1:08:25<14:33,  1.14s/it]

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overall:  81%|████████  | 3233/4000 [1:08:26<14:31,  1.14s/it]

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overall:  81%|████████  | 3235/4000 [1:08:28<14:38,  1.15s/it]

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overall:  81%|████████  | 3236/4000 [1:08:30<14:25,  1.13s/it]

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overall:  81%|████████  | 3239/4000 [1:08:33<14:20,  1.13s/it]

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overall:  81%|████████  | 3240/4000 [1:08:34<14:56,  1.18s/it]

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overall:  81%|████████  | 3241/4000 [1:08:36<15:04,  1.19s/it]

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overall:  81%|████████  | 3242/4000 [1:08:37<14:47,  1.17s/it]

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overall:  87%|████████▋ | 3496/4000 [1:13:22<10:01,  1.19s/it]

train:  99%|█████████▉| 3496/3515 [1:13:19<00:22,  1.19s/it]
overall:  87%|████████▋ | 3497/4000 [1:13:23<10:12,  1.22s/it]

train:  99%|█████████▉| 3497/3515 [1:13:21<00:21,  1.22s/it]
overall:  87%|████████▋ | 3498/4000 [1:13:24<10:20,  1.24s/it]

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overall:  87%|████████▋ | 3499/4000 [1:13:25<10:11,  1.22s/it]

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overall:  88%|████████▊ | 3507/4000 [1:13:34<09:40,  1.18s/it]

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overall:  88%|████████▊ | 3508/4000 [1:13:35<09:42,  1.18s/it]

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overall:  88%|████████▊ | 3511/4000 [1:13:38<07:25,  1.10it/s]

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overall:  88%|████████▊ | 3512/4000 [1:13:39<08:13,  1.01s/it]

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overall:  88%|████████▊ | 3515/4000 [1:13:43<09:15,  1.15s/it]

train: 100%|██████████| 3515/3515 [1:13:41<00:00,  1.15s/it]403-128339-0009 Failed!!!
/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
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train: 100%|██████████| 3515/3515 [1:13:41<00:00,  1.26s/it]
dev loss: 7.421942710876465
dev per: 0.6823100936524453
[Runner] - Save the checkpoint to:
1. result/downstream/grid/dev-best.ckpt
train loss: 8.203783988952637
train per: 0.7405197124195292
train loss: 6.791604518890381
train per: 0.6854275127808264
train loss: 7.323974609375
train per: 0.7077126466630468
train loss: 8.149266242980957
train per: 0.7478935202445753
train loss: 9.092531204223633
train per: 0.7843182012725768
train loss: 7.398526668548584
train per: 0.7312093867564652
train loss: 9.11276912689209
train per: 0.7509904859445328
train loss: 8.795166015625
train per: 0.7074247394828251
train loss: 6.712520599365234
train per: 0.6837504764324737
train loss: 7.131242275238037
train per: 0.7144159927044086
train loss: 7.201000213623047
train per: 0.721846817237662
train loss: 7.409655570983887
train per: 0.7197360329249255
train loss: 7.432276248931885
train per: 0.744059809025636
train loss: 6.078692436218262
train per: 0.6999373765595646
train loss: 7.787675380706787
train per: 0.7224925104853206
train loss: 7.324814796447754
train per: 0.7362521097312139
train loss: 6.923635959625244
train per: 0.7000546472972358
train loss: 7.952218532562256
train per: 0.7364159858253765
train loss: 6.440622806549072
train per: 0.7142430278884462
train loss: 5.521834373474121
train per: 0.6755555555555556
train loss: 9.504895210266113
train per: 0.755416887944769
train loss: 15.399612426757812
train per: 0.8204076195550819
train loss: 15.583869934082031
train per: 0.7694676966641
train loss: 8.660924911499023
train per: 0.6676055596504159
train loss: 6.850683689117432
train per: 0.7171194081609062
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.


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

word -> phonemes:  13%|█▎        | 447/3515 [00:00<00:00, 4468.82it/s]

word -> phonemes:  27%|██▋       | 942/3515 [00:00<00:00, 4751.08it/s]

word -> phonemes:  41%|████      | 1424/3515 [00:00<00:00, 4778.83it/s]

word -> phonemes:  54%|█████▍    | 1909/3515 [00:00<00:00, 4805.00it/s]

word -> phonemes:  68%|██████▊   | 2390/3515 [00:00<00:00, 3054.59it/s]

word -> phonemes:  79%|███████▉  | 2783/3515 [00:00<00:00, 3269.09it/s]

word -> phonemes:  91%|█████████▏| 3212/3515 [00:00<00:00, 3533.80it/s]
word -> phonemes: 100%|██████████| 3515/3515 [00:00<00:00, 3788.25it/s]


train:   0%|          | 0/3515 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:13:48<18:12,  2.26s/it]

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overall:  88%|████████▊ | 3518/4000 [1:13:50<14:20,  1.79s/it]

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overall:  88%|████████▊ | 3519/4000 [1:13:51<12:44,  1.59s/it]

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overall:  88%|████████▊ | 3520/4000 [1:13:53<12:00,  1.50s/it]

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overall:  88%|████████▊ | 3521/4000 [1:13:54<11:29,  1.44s/it]

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overall:  88%|████████▊ | 3522/4000 [1:13:55<10:44,  1.35s/it]

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overall:  88%|████████▊ | 3523/4000 [1:13:55<08:31,  1.07s/it]

train:   0%|          | 8/3515 [00:10<58:56,  1.01s/it]  
overall:  88%|████████▊ | 3524/4000 [1:13:57<08:49,  1.11s/it]

train:   0%|          | 9/3515 [00:11<1:02:32,  1.07s/it]
overall:  88%|████████▊ | 3525/4000 [1:13:58<08:49,  1.11s/it]

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overall:  88%|████████▊ | 3526/4000 [1:13:59<09:11,  1.16s/it]

train:   0%|          | 11/3515 [00:14<1:06:49,  1.14s/it]
overall:  88%|████████▊ | 3527/4000 [1:14:00<09:03,  1.15s/it]

train:   0%|          | 12/3515 [00:15<1:06:20,  1.14s/it]
overall:  88%|████████▊ | 3528/4000 [1:14:01<09:11,  1.17s/it]

train:   0%|          | 13/3515 [00:16<1:07:38,  1.16s/it]
overall:  88%|████████▊ | 3529/4000 [1:14:03<09:08,  1.16s/it]

train:   0%|          | 14/3515 [00:17<1:07:32,  1.16s/it]
overall:  88%|████████▊ | 3530/4000 [1:14:04<09:14,  1.18s/it]

train:   0%|          | 15/3515 [00:18<1:08:30,  1.17s/it]
overall:  88%|████████▊ | 3531/4000 [1:14:05<09:15,  1.19s/it]

train:   0%|          | 16/3515 [00:20<1:08:57,  1.18s/it]
overall:  88%|████████▊ | 3532/4000 [1:14:06<09:27,  1.21s/it]

train:   0%|          | 17/3515 [00:21<1:10:34,  1.21s/it]
overall:  88%|████████▊ | 3533/4000 [1:14:07<09:22,  1.21s/it]

train:   1%|          | 18/3515 [00:22<1:10:10,  1.20s/it]
overall:  88%|████████▊ | 3534/4000 [1:14:09<09:23,  1.21s/it]

train:   1%|          | 19/3515 [00:23<1:10:21,  1.21s/it]
overall:  88%|████████▊ | 3535/4000 [1:14:10<09:30,  1.23s/it]

train:   1%|          | 20/3515 [00:24<1:11:26,  1.23s/it]
overall:  88%|████████▊ | 3536/4000 [1:14:11<09:33,  1.24s/it]

train:   1%|          | 21/3515 [00:26<1:11:56,  1.24s/it]
overall:  88%|████████▊ | 3537/4000 [1:14:12<09:35,  1.24s/it]

train:   1%|          | 22/3515 [00:27<1:12:18,  1.24s/it]
overall:  88%|████████▊ | 3538/4000 [1:14:14<09:32,  1.24s/it]

train:   1%|          | 23/3515 [00:28<1:12:05,  1.24s/it]
overall:  88%|████████▊ | 3539/4000 [1:14:15<09:34,  1.25s/it]

train:   1%|          | 24/3515 [00:29<1:12:26,  1.25s/it]
overall:  88%|████████▊ | 3540/4000 [1:14:16<09:35,  1.25s/it]

train:   1%|          | 25/3515 [00:31<1:12:48,  1.25s/it]
overall:  89%|████████▊ | 3541/4000 [1:14:17<09:26,  1.23s/it]

train:   1%|          | 26/3515 [00:32<1:11:47,  1.23s/it]
overall:  89%|████████▊ | 3542/4000 [1:14:19<09:07,  1.20s/it]

train:   1%|          | 27/3515 [00:33<1:09:31,  1.20s/it]
overall:  89%|████████▊ | 3543/4000 [1:14:20<09:07,  1.20s/it]

train:   1%|          | 28/3515 [00:34<1:09:37,  1.20s/it]
overall:  89%|████████▊ | 3544/4000 [1:14:21<08:57,  1.18s/it]

train:   1%|          | 29/3515 [00:35<1:08:28,  1.18s/it]
overall:  89%|████████▊ | 3545/4000 [1:14:22<09:08,  1.21s/it]

train:   1%|          | 30/3515 [00:37<1:10:04,  1.21s/it]
overall:  89%|████████▊ | 3546/4000 [1:14:23<08:54,  1.18s/it]

train:   1%|          | 31/3515 [00:38<1:08:19,  1.18s/it]
overall:  89%|████████▊ | 3547/4000 [1:14:24<07:09,  1.06it/s]

train:   1%|          | 32/3515 [00:38<55:00,  1.06it/s]  
overall:  89%|████████▊ | 3548/4000 [1:14:25<07:50,  1.04s/it]

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overall:  89%|████████▊ | 3549/4000 [1:14:26<08:18,  1.11s/it]

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overall:  89%|████████▉ | 3550/4000 [1:14:27<08:30,  1.13s/it]

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overall:  89%|████████▉ | 3551/4000 [1:14:28<08:29,  1.13s/it]

train:   1%|          | 36/3515 [00:43<1:05:46,  1.13s/it]
overall:  89%|████████▉ | 3552/4000 [1:14:30<08:38,  1.16s/it]

train:   1%|          | 37/3515 [00:44<1:07:06,  1.16s/it]
overall:  89%|████████▉ | 3553/4000 [1:14:31<08:39,  1.16s/it]

train:   1%|          | 38/3515 [00:45<1:07:19,  1.16s/it]
overall:  89%|████████▉ | 3554/4000 [1:14:32<08:59,  1.21s/it]

train:   1%|          | 39/3515 [00:47<1:10:04,  1.21s/it]
overall:  89%|████████▉ | 3555/4000 [1:14:33<08:58,  1.21s/it]

train:   1%|          | 40/3515 [00:48<1:10:06,  1.21s/it]
overall:  89%|████████▉ | 3556/4000 [1:14:35<09:05,  1.23s/it]

train:   1%|          | 41/3515 [00:49<1:11:04,  1.23s/it]
overall:  89%|████████▉ | 3557/4000 [1:14:36<09:00,  1.22s/it]

train:   1%|          | 42/3515 [00:50<1:10:34,  1.22s/it]
overall:  89%|████████▉ | 3558/4000 [1:14:37<08:30,  1.15s/it]

train:   1%|          | 43/3515 [00:51<1:06:49,  1.15s/it]
overall:  89%|████████▉ | 3559/4000 [1:14:38<08:28,  1.15s/it]

train:   1%|▏         | 44/3515 [00:53<1:06:40,  1.15s/it]
overall:  89%|████████▉ | 3560/4000 [1:14:39<08:44,  1.19s/it]

train:   1%|▏         | 45/3515 [00:54<1:08:55,  1.19s/it]
overall:  89%|████████▉ | 3561/4000 [1:14:41<08:44,  1.19s/it]

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overall:  89%|████████▉ | 3562/4000 [1:14:41<07:27,  1.02s/it]

train:   1%|▏         | 47/3515 [00:56<59:04,  1.02s/it]  
overall:  89%|████████▉ | 3563/4000 [1:14:42<07:05,  1.03it/s]

train:   1%|▏         | 48/3515 [00:57<56:12,  1.03it/s]
overall:  89%|████████▉ | 3564/4000 [1:14:43<07:42,  1.06s/it]

train:   1%|▏         | 49/3515 [00:58<1:01:16,  1.06s/it]
overall:  89%|████████▉ | 3565/4000 [1:14:44<08:04,  1.11s/it]

train:   1%|▏         | 50/3515 [00:59<1:04:19,  1.11s/it]
overall:  89%|████████▉ | 3566/4000 [1:14:46<08:09,  1.13s/it]

train:   1%|▏         | 51/3515 [01:00<1:05:07,  1.13s/it]
overall:  89%|████████▉ | 3567/4000 [1:14:47<08:25,  1.17s/it]

train:   1%|▏         | 52/3515 [01:01<1:07:23,  1.17s/it]
overall:  89%|████████▉ | 3568/4000 [1:14:48<08:23,  1.17s/it]

train:   2%|▏         | 53/3515 [01:03<1:07:16,  1.17s/it]
overall:  89%|████████▉ | 3569/4000 [1:14:49<08:29,  1.18s/it]

train:   2%|▏         | 54/3515 [01:04<1:08:14,  1.18s/it]
overall:  89%|████████▉ | 3570/4000 [1:14:50<08:19,  1.16s/it]

train:   2%|▏         | 55/3515 [01:05<1:06:58,  1.16s/it]
overall:  89%|████████▉ | 3571/4000 [1:14:52<08:31,  1.19s/it]

train:   2%|▏         | 56/3515 [01:06<1:08:44,  1.19s/it]
overall:  89%|████████▉ | 3572/4000 [1:14:53<08:40,  1.22s/it]

train:   2%|▏         | 57/3515 [01:07<1:10:03,  1.22s/it]
overall:  89%|████████▉ | 3573/4000 [1:14:54<08:45,  1.23s/it]

train:   2%|▏         | 58/3515 [01:09<1:10:57,  1.23s/it]
overall:  89%|████████▉ | 3574/4000 [1:14:56<08:57,  1.26s/it]

train:   2%|▏         | 59/3515 [01:10<1:12:42,  1.26s/it]
overall:  89%|████████▉ | 3575/4000 [1:14:57<08:57,  1.26s/it]

train:   2%|▏         | 60/3515 [01:11<1:12:48,  1.26s/it]
overall:  89%|████████▉ | 3576/4000 [1:14:58<08:53,  1.26s/it]

train:   2%|▏         | 61/3515 [01:13<1:12:28,  1.26s/it]
overall:  89%|████████▉ | 3577/4000 [1:14:59<08:48,  1.25s/it]

train:   2%|▏         | 62/3515 [01:14<1:11:53,  1.25s/it]
overall:  89%|████████▉ | 3578/4000 [1:15:01<08:44,  1.24s/it]

train:   2%|▏         | 63/3515 [01:15<1:11:34,  1.24s/it]
overall:  89%|████████▉ | 3579/4000 [1:15:02<08:38,  1.23s/it]

train:   2%|▏         | 64/3515 [01:16<1:10:50,  1.23s/it]
overall:  90%|████████▉ | 3580/4000 [1:15:03<08:36,  1.23s/it]

train:   2%|▏         | 65/3515 [01:17<1:10:45,  1.23s/it]
overall:  90%|████████▉ | 3581/4000 [1:15:04<08:21,  1.20s/it]

train:   2%|▏         | 66/3515 [01:19<1:08:44,  1.20s/it]
overall:  90%|████████▉ | 3582/4000 [1:15:05<08:20,  1.20s/it]

train:   2%|▏         | 67/3515 [01:20<1:08:45,  1.20s/it]
overall:  90%|████████▉ | 3583/4000 [1:15:07<08:28,  1.22s/it]

train:   2%|▏         | 68/3515 [01:21<1:10:00,  1.22s/it]
overall:  90%|████████▉ | 3584/4000 [1:15:08<08:17,  1.20s/it]

train:   2%|▏         | 69/3515 [01:22<1:08:43,  1.20s/it]
overall:  90%|████████▉ | 3585/4000 [1:15:09<07:34,  1.09s/it]

train:   2%|▏         | 70/3515 [01:23<1:02:50,  1.09s/it]
overall:  90%|████████▉ | 3586/4000 [1:15:10<07:32,  1.09s/it]

train:   2%|▏         | 71/3515 [01:24<1:02:43,  1.09s/it]
overall:  90%|████████▉ | 3587/4000 [1:15:11<07:53,  1.15s/it]

train:   2%|▏         | 72/3515 [01:25<1:05:51,  1.15s/it]
overall:  90%|████████▉ | 3588/4000 [1:15:12<08:08,  1.19s/it]

train:   2%|▏         | 73/3515 [01:27<1:08:02,  1.19s/it]
overall:  90%|████████▉ | 3589/4000 [1:15:13<08:14,  1.20s/it]

train:   2%|▏         | 74/3515 [01:28<1:09:00,  1.20s/it]
overall:  90%|████████▉ | 3590/4000 [1:15:15<08:27,  1.24s/it]

train:   2%|▏         | 75/3515 [01:29<1:10:58,  1.24s/it]
overall:  90%|████████▉ | 3591/4000 [1:15:16<08:28,  1.24s/it]

train:   2%|▏         | 76/3515 [01:31<1:11:16,  1.24s/it]
overall:  90%|████████▉ | 3592/4000 [1:15:17<08:24,  1.24s/it]

train:   2%|▏         | 77/3515 [01:32<1:10:52,  1.24s/it]
overall:  90%|████████▉ | 3593/4000 [1:15:19<08:30,  1.25s/it]

train:   2%|▏         | 78/3515 [01:33<1:11:48,  1.25s/it]
overall:  90%|████████▉ | 3594/4000 [1:15:20<08:09,  1.21s/it]

train:   2%|▏         | 79/3515 [01:34<1:09:06,  1.21s/it]
overall:  90%|████████▉ | 3595/4000 [1:15:21<07:58,  1.18s/it]

train:   2%|▏         | 80/3515 [01:35<1:07:35,  1.18s/it]
overall:  90%|████████▉ | 3596/4000 [1:15:22<07:52,  1.17s/it]

train:   2%|▏         | 81/3515 [01:36<1:06:59,  1.17s/it]
overall:  90%|████████▉ | 3597/4000 [1:15:23<08:03,  1.20s/it]

train:   2%|▏         | 82/3515 [01:38<1:08:41,  1.20s/it]
overall:  90%|████████▉ | 3598/4000 [1:15:24<08:13,  1.23s/it]

train:   2%|▏         | 83/3515 [01:39<1:10:11,  1.23s/it]
overall:  90%|████████▉ | 3599/4000 [1:15:26<08:18,  1.24s/it]

train:   2%|▏         | 84/3515 [01:40<1:11:01,  1.24s/it]
overall:  90%|█████████ | 3600/4000 [1:15:27<08:26,  1.27s/it]

train:   2%|▏         | 85/3515 [01:42<1:12:23,  1.27s/it]
overall:  90%|█████████ | 3601/4000 [1:15:28<08:21,  1.26s/it]

train:   2%|▏         | 86/3515 [01:43<1:11:50,  1.26s/it]
overall:  90%|█████████ | 3602/4000 [1:15:29<08:10,  1.23s/it]

train:   2%|▏         | 87/3515 [01:44<1:10:21,  1.23s/it]
overall:  90%|█████████ | 3603/4000 [1:15:31<08:07,  1.23s/it]

train:   3%|▎         | 88/3515 [01:45<1:10:10,  1.23s/it]
overall:  90%|█████████ | 3604/4000 [1:15:32<07:58,  1.21s/it]

train:   3%|▎         | 89/3515 [01:46<1:08:58,  1.21s/it]
overall:  90%|█████████ | 3605/4000 [1:15:33<07:52,  1.20s/it]

train:   3%|▎         | 90/3515 [01:48<1:08:19,  1.20s/it]
overall:  90%|█████████ | 3606/4000 [1:15:34<07:45,  1.18s/it]

train:   3%|▎         | 91/3515 [01:49<1:07:28,  1.18s/it]
overall:  90%|█████████ | 3607/4000 [1:15:35<07:46,  1.19s/it]

train:   3%|▎         | 92/3515 [01:50<1:07:44,  1.19s/it]
overall:  90%|█████████ | 3608/4000 [1:15:37<07:55,  1.21s/it]

train:   3%|▎         | 93/3515 [01:51<1:09:07,  1.21s/it]
overall:  90%|█████████ | 3609/4000 [1:15:37<06:16,  1.04it/s]

train:   3%|▎         | 94/3515 [01:52<54:56,  1.04it/s]  
overall:  90%|█████████ | 3610/4000 [1:15:38<06:14,  1.04it/s]

train:   3%|▎         | 95/3515 [01:52<54:48,  1.04it/s]
overall:  90%|█████████ | 3611/4000 [1:15:39<06:34,  1.01s/it]

train:   3%|▎         | 96/3515 [01:54<57:47,  1.01s/it]
overall:  90%|█████████ | 3612/4000 [1:15:40<06:44,  1.04s/it]

train:   3%|▎         | 97/3515 [01:55<59:25,  1.04s/it]
overall:  90%|█████████ | 3613/4000 [1:15:41<06:52,  1.06s/it]

train:   3%|▎         | 98/3515 [01:56<1:00:38,  1.06s/it]
overall:  90%|█████████ | 3614/4000 [1:15:42<07:04,  1.10s/it]

train:   3%|▎         | 99/3515 [01:57<1:02:37,  1.10s/it]
overall:  90%|█████████ | 3615/4000 [1:15:44<07:10,  1.12s/it]

train:   3%|▎         | 100/3515 [01:58<1:03:42,  1.12s/it]
overall:  90%|█████████ | 3616/4000 [1:15:45<07:26,  1.16s/it]

train:   3%|▎         | 101/3515 [01:59<1:06:13,  1.16s/it]
overall:  90%|█████████ | 3617/4000 [1:15:46<07:33,  1.18s/it]

train:   3%|▎         | 102/3515 [02:01<1:07:19,  1.18s/it]
overall:  90%|█████████ | 3618/4000 [1:15:47<07:40,  1.21s/it]

train:   3%|▎         | 103/3515 [02:02<1:08:35,  1.21s/it]
overall:  90%|█████████ | 3619/4000 [1:15:48<06:30,  1.03s/it]

train:   3%|▎         | 104/3515 [02:03<58:16,  1.03s/it]  
overall:  90%|█████████ | 3620/4000 [1:15:49<05:36,  1.13it/s]

train:   3%|▎         | 105/3515 [02:03<50:16,  1.13it/s]
overall:  91%|█████████ | 3621/4000 [1:15:49<04:23,  1.44it/s]

train:   3%|▎         | 106/3515 [02:03<39:32,  1.44it/s]
overall:  91%|█████████ | 3622/4000 [1:15:50<05:19,  1.18it/s]

train:   3%|▎         | 107/3515 [02:05<48:02,  1.18it/s]
overall:  91%|█████████ | 3623/4000 [1:15:51<06:07,  1.02it/s]

train:   3%|▎         | 108/3515 [02:06<55:25,  1.02it/s]
overall:  91%|█████████ | 3624/4000 [1:15:52<06:25,  1.03s/it]

train:   3%|▎         | 109/3515 [02:07<58:16,  1.03s/it]
overall:  91%|█████████ | 3625/4000 [1:15:53<05:18,  1.18it/s]

train:   3%|▎         | 110/3515 [02:07<48:16,  1.18it/s]
overall:  91%|█████████ | 3626/4000 [1:15:54<06:08,  1.01it/s]

train:   3%|▎         | 111/3515 [02:09<55:54,  1.01it/s]
overall:  91%|█████████ | 3627/4000 [1:15:55<06:25,  1.03s/it]

train:   3%|▎         | 112/3515 [02:10<58:32,  1.03s/it]
overall:  91%|█████████ | 3628/4000 [1:15:57<06:55,  1.12s/it]

train:   3%|▎         | 113/3515 [02:11<1:03:21,  1.12s/it]
overall:  91%|█████████ | 3629/4000 [1:15:58<07:05,  1.15s/it]

train:   3%|▎         | 114/3515 [02:12<1:05:01,  1.15s/it]
overall:  91%|█████████ | 3630/4000 [1:15:58<05:29,  1.12it/s]

train:   3%|▎         | 115/3515 [02:13<50:27,  1.12it/s]  
overall:  91%|█████████ | 3631/4000 [1:15:59<06:03,  1.01it/s]

train:   3%|▎         | 116/3515 [02:14<55:50,  1.01it/s]
overall:  91%|█████████ | 3632/4000 [1:16:01<06:26,  1.05s/it]

train:   3%|▎         | 117/3515 [02:15<59:30,  1.05s/it]
overall:  91%|█████████ | 3633/4000 [1:16:01<06:11,  1.01s/it]

train:   3%|▎         | 118/3515 [02:16<57:19,  1.01s/it]
overall:  91%|█████████ | 3634/4000 [1:16:03<06:31,  1.07s/it]

train:   3%|▎         | 119/3515 [02:17<1:00:30,  1.07s/it]
overall:  91%|█████████ | 3635/4000 [1:16:04<06:18,  1.04s/it]

train:   3%|▎         | 120/3515 [02:18<58:38,  1.04s/it]  
overall:  91%|█████████ | 3636/4000 [1:16:05<06:40,  1.10s/it]

train:   3%|▎         | 121/3515 [02:19<1:02:09,  1.10s/it]
overall:  91%|█████████ | 3637/4000 [1:16:06<06:29,  1.07s/it]

train:   3%|▎         | 122/3515 [02:20<1:00:36,  1.07s/it]
overall:  91%|█████████ | 3638/4000 [1:16:07<06:45,  1.12s/it]

train:   3%|▎         | 123/3515 [02:22<1:03:22,  1.12s/it]
overall:  91%|█████████ | 3639/4000 [1:16:08<07:01,  1.17s/it]

train:   4%|▎         | 124/3515 [02:23<1:06:03,  1.17s/it]
overall:  91%|█████████ | 3640/4000 [1:16:10<06:56,  1.16s/it]

train:   4%|▎         | 125/3515 [02:24<1:05:17,  1.16s/it]
overall:  91%|█████████ | 3641/4000 [1:16:10<05:36,  1.07it/s]

train:   4%|▎         | 126/3515 [02:25<52:56,  1.07it/s]  
overall:  91%|█████████ | 3642/4000 [1:16:11<06:07,  1.03s/it]

train:   4%|▎         | 127/3515 [02:26<57:58,  1.03s/it]
overall:  91%|█████████ | 3643/4000 [1:16:12<06:07,  1.03s/it]

train:   4%|▎         | 128/3515 [02:27<58:06,  1.03s/it]
overall:  91%|█████████ | 3644/4000 [1:16:13<06:28,  1.09s/it]

train:   4%|▎         | 129/3515 [02:28<1:01:37,  1.09s/it]
overall:  91%|█████████ | 3645/4000 [1:16:14<06:15,  1.06s/it]

train:   4%|▎         | 130/3515 [02:29<59:44,  1.06s/it]  
overall:  91%|█████████ | 3646/4000 [1:16:16<06:39,  1.13s/it]

train:   4%|▎         | 131/3515 [02:30<1:03:36,  1.13s/it]
overall:  91%|█████████ | 3647/4000 [1:16:17<06:36,  1.12s/it]

train:   4%|▍         | 132/3515 [02:31<1:03:16,  1.12s/it]
overall:  91%|█████████ | 3648/4000 [1:16:18<06:56,  1.18s/it]

train:   4%|▍         | 133/3515 [02:33<1:06:43,  1.18s/it]
overall:  91%|█████████ | 3649/4000 [1:16:19<06:50,  1.17s/it]

train:   4%|▍         | 134/3515 [02:34<1:05:54,  1.17s/it]
overall:  91%|█████████▏| 3650/4000 [1:16:21<06:56,  1.19s/it]

train:   4%|▍         | 135/3515 [02:35<1:07:05,  1.19s/it]
overall:  91%|█████████▏| 3651/4000 [1:16:22<07:01,  1.21s/it]

train:   4%|▍         | 136/3515 [02:36<1:08:01,  1.21s/it]
overall:  91%|█████████▏| 3652/4000 [1:16:23<06:50,  1.18s/it]

train:   4%|▍         | 137/3515 [02:37<1:06:21,  1.18s/it]
overall:  91%|█████████▏| 3653/4000 [1:16:24<06:53,  1.19s/it]

train:   4%|▍         | 138/3515 [02:39<1:07:05,  1.19s/it]
overall:  91%|█████████▏| 3654/4000 [1:16:25<06:55,  1.20s/it]

train:   4%|▍         | 139/3515 [02:40<1:07:34,  1.20s/it]
overall:  91%|█████████▏| 3655/4000 [1:16:27<06:56,  1.21s/it]

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overall:  91%|█████████▏| 3656/4000 [1:16:28<06:46,  1.18s/it]

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train:  13%|█▎        | 468/3515 [08:53<56:21,  1.11s/it]  
overall: 100%|█████████▉| 3984/4000 [1:22:39<00:15,  1.02it/s]

train:  13%|█▎        | 469/3515 [08:53<49:51,  1.02it/s]
overall: 100%|█████████▉| 3985/4000 [1:22:40<00:15,  1.06s/it]

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overall: 100%|█████████▉| 3986/4000 [1:22:41<00:15,  1.12s/it]

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overall: 100%|█████████▉| 3987/4000 [1:22:42<00:15,  1.16s/it]

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overall: 100%|█████████▉| 3988/4000 [1:22:43<00:13,  1.10s/it]

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overall: 100%|█████████▉| 3989/4000 [1:22:44<00:10,  1.04it/s]

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overall: 100%|█████████▉| 3990/4000 [1:22:45<00:10,  1.04s/it]

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overall: 100%|█████████▉| 3991/4000 [1:22:46<00:09,  1.09s/it]

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overall: 100%|█████████▉| 3992/4000 [1:22:48<00:09,  1.15s/it]

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overall: 100%|█████████▉| 3994/4000 [1:22:50<00:06,  1.14s/it]

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overall: 100%|█████████▉| 3996/4000 [1:22:52<00:04,  1.19s/it]

train:  14%|█▎        | 481/3515 [09:07<1:00:22,  1.19s/it]
overall: 100%|█████████▉| 3997/4000 [1:22:54<00:03,  1.21s/it]

train:  14%|█▎        | 482/3515 [09:08<1:01:06,  1.21s/it]
overall: 100%|█████████▉| 3998/4000 [1:22:54<00:02,  1.04s/it]

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overall: 100%|█████████▉| 3999/4000 [1:22:56<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [09:10<55:05,  1.09s/it]train loss: 9.529108047485352
train per: 0.7874723584270743
train loss: 5.579644203186035
train per: 0.6565475336108321
train loss: 6.979598045349121
train per: 0.7099626594751581
train loss: 6.236661434173584
train per: 0.6913639070875521
train loss: 5.580328464508057
train per: 0.6696303739951066
train loss: 6.259069442749023
train per: 0.6940042085075779
train loss: 13.344151496887207
train per: 0.8914802727586298
train loss: 9.481404304504395
train per: 0.710454992444775
train loss: 9.7900390625
train per: 0.7431578947368421
train loss: 7.041502475738525
train per: 0.6921830314585319
train loss: 8.866477012634277
train per: 0.7436949605790953
train loss: 9.619179725646973
train per: 0.7519448373408769
train loss: 7.632376194000244
train per: 0.687097101669966
train loss: 7.135054111480713
train per: 0.677675414331417
train loss: 9.61441421508789
train per: 0.8359463590198688
train loss: 7.054280757904053
train per: 0.6905863829381172
train loss: 5.981152057647705
train per: 0.698162031438936
train loss: 5.269969463348389
train per: 0.660935962898768
train loss: 7.692564487457275
train per: 0.7189501512632526
train loss: 7.943984031677246
train per: 0.7070645399272432
train loss: 6.539436340332031
train per: 0.6690265929502414
train loss: 7.9912004470825195
train per: 0.7668180890159249
train loss: 7.072440147399902
train per: 0.7086342147644034
train loss: 5.82808256149292
train per: 0.6829698883556705
train loss: 7.379519462585449
train per: 0.716167570951586
[LibriPhone] - Taking the first phoneme sequences for a deterministic behavior.



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


word -> phonemes:  22%|██▏       | 594/2703 [00:00<00:00, 5936.54it/s]


word -> phonemes:  44%|████▍     | 1188/2703 [00:00<00:00, 5603.32it/s]


word -> phonemes:  65%|██████▍   | 1750/2703 [00:00<00:00, 5516.92it/s]


word -> phonemes:  86%|████████▋ | 2334/2703 [00:00<00:00, 5637.56it/s]
word -> phonemes: 100%|██████████| 2703/2703 [00:00<00:00, 5614.69it/s]



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overall: 100%|█████████▉| 3999/4000 [1:25:47<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [12:01<55:05,  1.09s/it]
                                                              

                                                         

overall: 100%|█████████▉| 3999/4000 [1:25:47<00:01,  1.09s/it]

train:  14%|█▍        | 484/3515 [12:01<55:05,  1.09s/it]
overall: 100%|██████████| 4000/4000 [1:25:47<00:00, 52.09s/it]

train:  14%|█▍        | 485/3515 [12:01<43:50:38, 52.09s/it]/home/victor/glockenspiel/s3prl/data/LibriSpeech/train-clean-100/403/128339/403-128339-0009.flac WTF Failed!!!
403-128339-0009 Failed!!!

train:  14%|█▍        | 485/3515 [12:02<1:15:10,  1.49s/it] 

overall: 100%|██████████| 4000/4000 [1:25:47<00:00,  1.29s/it]
dev loss: 10.433749198913574
dev per: 0.7397606659729449
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt