Fine-Tune BERT for Sentiment Classification
End-to-end fine-tuning of bert-base-uncased on SST-2 using the HuggingFace Trainer API. Covers tokenisation, TrainingArguments, evaluation with the GLUE metric, and a ready-to-use inference pipeline.
bertpythonfine-tuningnlp
Fine-tune bert-base-uncased on SST-2 sentiment in under 60 lines. Reaches ~92% validation accuracy in 3 epochs using the HuggingFace Trainer with AdamW + linear warmup.