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Update README.md
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README.md
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@@ -10,6 +10,10 @@ BERT base (cased) model trained on a subset of 125M tokens of cc100-Swahili for
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The model has 124M parameters (12L), and a vocab size of 50K.
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It was trained for 500K steps with a sequence length of 512 tokens.
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Authors
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The model has 124M parameters (12L), and a vocab size of 50K.
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It was trained for 500K steps with a sequence length of 512 tokens.
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RESULTS
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TODO
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Authors
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