tfhub.de -> tfhub.dev (#12565)
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@@ -149,7 +149,7 @@ Next we can run the example script to pretrain the model:
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Training should converge at a loss and accuracy
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of 1.78 and 0.64 respectively after 18 epochs on a single TPUv3-8.
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This should take less than 18 hours.
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Training statistics can be accessed on [tfhub.de](https://tensorboard.dev/experiment/GdYmdak2TWeVz0DDRYOrrg).
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Training statistics can be accessed on [tfhub.dev](https://tensorboard.dev/experiment/GdYmdak2TWeVz0DDRYOrrg).
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For a step-by-step walkthrough of how to do masked language modeling in Flax, please have a
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look at [this](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/masked_language_modeling_flax.ipynb) google colab.
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