Muthukumaran
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Update README.md
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README.md
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- **Tokenizer**: Custom
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- **Parameters**: 125M
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- **Training Strategy**: Sentence Pairs, and score indicating relevancy. The model encodes the two sentence pairs independently and cosine similarity is calculated. the similarity is optimized using the relevance score.
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## Training Data
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/61099e5d86580d4580767226/ZjcHW24iKsvUYBhoL7eMM.png)
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- **Tokenizer**: Custom
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- **Parameters**: 125M
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- **Training Strategy**: Sentence Pairs, and score indicating relevancy. The model encodes the two sentence pairs independently and cosine similarity is calculated. the similarity is optimized using the relevance score.
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## Training Data
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/61099e5d86580d4580767226/ZjcHW24iKsvUYBhoL7eMM.png)
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