The default way to fine-tune BERT is wrong. Here is why
natural-language-processing research deep-learning transformers pytorch named-entity-recognition transfer-learning experiments representation-learning ner bert knowledge-transfer fine-tuning sequence-tagging xlm-roberta huggingface-transformers multilingual-nlp token-classification masked-language-modeling ml-best-practices
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Updated
Dec 8, 2024 - Jupyter Notebook