orai-nlp
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bert-base-sw

Feature Extraction

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GorkaUrbizu commited on May 17, 2023

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-BERT base (cased) model trained on a subset of 125M tokens of cc100-Swahili for our work [Scaling Laws for BERT in Low-Resource Settings](https://youtu.be/dQw4w9WgXcQ) at ACL2023 Findings.
 The model has 124M parameters (12L), and a vocab size of 50K.
 It was trained for 500K steps with a sequence length of 512 tokens.

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+BERT base (cased) model trained on a subset of 125M tokens of cc100-Swahili for our work [Scaling Laws for BERT in Low-Resource Settings]() at ACL2023 Findings.
 The model has 124M parameters (12L), and a vocab size of 50K.
 It was trained for 500K steps with a sequence length of 512 tokens.