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README.md

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 ## Model Description
 This tokenizer was developed for Yambeta, a Bantu language from Cameroon. The tokenizer is based on the WordPiece model architecture and has been fine-tuned to handle the unique phonetic and diacritical features of the Yambeta language.
 
-- **Developed by**: DS4H-ICTU Research Group
+- **Developed by**: DS4H-ICTU Research Group in Cooperation with the
 - **Language(s)**: Yambeta (Bantu language from Cameroon)
 - **License**: Apache 2.0 (or specify if different)
 - **Model Type**: Tokenizer (WordPiece)
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 ## Training Details
 - **Training Data**: Extracted from Yambeta Bible text corpus (final_dataset.xlsx).
 - **Training Procedure**: Preprocessing of text involved normalization of diacritics, tokenization using WordPiece, and post-processing to handle special tokens.
-- **Training Hyperparameters**: 
+- **Training Hyperparameters**:
   - Vocabulary Size: 25,000
   - Special Tokens: [UNK], [PAD], [CLS], [SEP], [MASK]