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Tokenizing eval dataset (num_proc=96): 33%|██████▋ | 203/612 [00:12<00:21, 19.29 examples/s]
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Tokenizing eval dataset (num_proc=96): 34%|██████▊ | 210/612 [00:12<00:20, 19.56 examples/s]
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Tokenizing eval dataset (num_proc=96): 38%|███████▌ | 231/612 [00:14<00:19, 19.83 examples/s]
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Tokenizing eval dataset (num_proc=96): 40%|████████ | 245/612 [00:14<00:18, 19.99 examples/s]
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Tokenizing eval dataset (num_proc=96): 41%|████████▏ | 252/612 [00:15<00:18, 19.68 examples/s]
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Tokenizing eval dataset (num_proc=96): 42%|████████▍ | 258/612 [00:15<00:18, 19.06 examples/s]
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Tokenizing eval dataset (num_proc=96): 43%|████████▋ | 264/612 [00:15<00:19, 17.85 examples/s]
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Tokenizing eval dataset (num_proc=96): 44%|████████▊ | 270/612 [00:16<00:18, 18.06 examples/s]
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Tokenizing eval dataset (num_proc=96): 45%|█████████ | 276/612 [00:16<00:18, 17.92 examples/s]
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Tokenizing eval dataset (num_proc=96): 46%|█████████▏ | 282/612 [00:16<00:18, 17.39 examples/s]
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Tokenizing eval dataset (num_proc=96): 47%|█████████▍ | 288/612 [00:17<00:18, 17.60 examples/s]
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Tokenizing eval dataset (num_proc=96): 48%|█████████▌ | 294/612 [00:17<00:19, 16.52 examples/s]
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Tokenizing eval dataset (num_proc=96): 50%|██████████ | 306/612 [00:18<00:18, 16.87 examples/s]
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Tokenizing eval dataset (num_proc=96): 51%|██████████▏ | 312/612 [00:18<00:20, 14.91 examples/s]
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Tokenizing eval dataset (num_proc=96): 60%|███████████▉ | 366/612 [00:21<00:14, 17.25 examples/s]
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Tokenizing eval dataset (num_proc=96): 61%|████████████▏ | 372/612 [00:22<00:13, 17.44 examples/s]
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Tokenizing eval dataset (num_proc=96): 71%|██████████████ | 432/612 [00:25<00:10, 16.78 examples/s]
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Tokenizing eval dataset (num_proc=96): 75%|███████████████ | 462/612 [00:27<00:08, 17.10 examples/s]
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Tokenizing eval dataset (num_proc=96): 83%|████████████████▋ | 510/612 [00:30<00:06, 16.99 examples/s]
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Tokenizing eval dataset (num_proc=96): 88%|█████████████████▋ | 540/612 [00:32<00:04, 16.94 examples/s]
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Tokenizing eval dataset (num_proc=96): 89%|█████████████████▊ | 546/612 [00:32<00:03, 16.96 examples/s]
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Tokenizing eval dataset (num_proc=96): 90%|██████████████████ | 552/612 [00:32<00:03, 17.27 examples/s]
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