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README.md
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- **Base model**: `xlm-roberta-base`
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- **Language**: Amharic
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- **Tokenizer**: Custom BPE tokenizer
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- **Adaptation**: Embedding initialization via weighted average of pretrained XLM-R embeddings, guided by FastText word vectors for Amharic
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- **Training dataset**: Amharic portion of the [NLLB (No Language Left Behind)](https://github.com/facebookresearch/flores) parallel corpus
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- **Objective**: Masked Language Modeling (MLM)
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- **Base model**: `xlm-roberta-base`
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- **Language**: Amharic
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+
- **Tokenizer**: Custom BPE tokenizer
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| 25 |
- **Adaptation**: Embedding initialization via weighted average of pretrained XLM-R embeddings, guided by FastText word vectors for Amharic
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| 26 |
- **Training dataset**: Amharic portion of the [NLLB (No Language Left Behind)](https://github.com/facebookresearch/flores) parallel corpus
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| 27 |
- **Objective**: Masked Language Modeling (MLM)
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