This repository contains the code and resources for fine-tuning BERT using Masked Language Modeling (MLM) on an e-commerce dataset. The fine-tuned model generates product embeddings that can be used for various downstream tasks such as product recommendation, search optimization, and categorization.
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This repository contains the code and resources for fine-tuning BERT using Masked Language Modeling (MLM) on an e-commerce dataset. The fine-tuned model generates product embeddings that can be used for various downstream tasks such as product recommendation, search optimization, and categorization.
Sohaib-Ahmed21/BERT_MaskedLM_FineTuning
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This repository contains the code and resources for fine-tuning BERT using Masked Language Modeling (MLM) on an e-commerce dataset. The fine-tuned model generates product embeddings that can be used for various downstream tasks such as product recommendation, search optimization, and categorization.
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