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README.md

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 # bert-mini-amharic
 
-This model has the same architecture as [bert-mini](https://huggingface.co/prajjwal1/bert-mini) and was pretrained from scratch using the Amharic subsets of the [oscar](https://huggingface.co/datasets/oscar) and [mc4](https://huggingface.co/datasets/mc4) datasets, on a total of `137 Million` tokens.
+This model has the same architecture as [bert-mini](https://huggingface.co/prajjwal1/bert-mini) and was pretrained from scratch using the Amharic subsets of the [oscar](https://huggingface.co/datasets/oscar) and [mc4](https://huggingface.co/datasets/mc4) datasets, on a total of `137 Million` tokens. The tokenizer was trained from scratch on the same text corpus, and had a vocabulary size of 24k.
 It achieves the following results on the evaluation set:
 - `Loss: 3.57`
 - `Perplexity: 35.52`