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📢Day 19/100: Choosing the Right Language Model

For Amharic Named Entity Recognition, we fine-tuned three models:

1️⃣ XLM-Roberta: Best for multilingual NLP.

2️⃣ mBERT: Balanced performance.

3️⃣ DistilBERT: Lightweight but slightly less accurate.

💡 Insight: XLM-Roberta outperformed others in accuracy and entity recognition for Amharic e-commerce data.

💡 Question: What’s your experience with fine-tuning NLP models for underrepresented languages?

#AI #NLP #ModelSelection #FintechAfrica



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📢Day 19/100: Choosing the Right Language Model

For Amharic Named Entity Recognition, we fine-tuned three models:

1️⃣ XLM-Roberta: Best for multilingual NLP.

2️⃣ mBERT: Balanced performance.

3️⃣ DistilBERT: Lightweight but slightly less accurate.

💡 Insight: XLM-Roberta outperformed others in accuracy and entity recognition for Amharic e-commerce data.

💡 Question: What’s your experience with fine-tuning NLP models for underrepresented languages?

#AI #NLP #ModelSelection #FintechAfrica

BY Epython Lab


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