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roberta-medium-amharic

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rasyosef commited on Jan 11

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   example_title: Example 4
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-# roberta-base-amharic
 This model has the same architecture as [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) and was pretrained from scratch using the Amharic subsets of the [oscar](https://huggingface.co/datasets/oscar), [mc4](https://huggingface.co/datasets/mc4), and [amharic-sentences-corpus](https://huggingface.co/datasets/rasyosef/amharic-sentences-corpus) datasets, on a total of **290 Million tokens**. The tokenizer was trained from scratch on the same text corpus, and had a vocabulary size of 32k.

   example_title: Example 4
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+# roberta-medium-amharic
 This model has the same architecture as [xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) and was pretrained from scratch using the Amharic subsets of the [oscar](https://huggingface.co/datasets/oscar), [mc4](https://huggingface.co/datasets/mc4), and [amharic-sentences-corpus](https://huggingface.co/datasets/rasyosef/amharic-sentences-corpus) datasets, on a total of **290 Million tokens**. The tokenizer was trained from scratch on the same text corpus, and had a vocabulary size of 32k.