fine-tuned-bert-sst2-yourname

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Fine-tuned BERT (bert-base-uncased) on SST-2 for binary sentiment analysis — Positive / Negative.

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This model is a fine-tuned version of bert-base-uncased on the SST-2 (Stanford Sentiment Treebank) dataset.

It predicts the sentiment of an input sentence as either Positive or Negative.

• Base model: BERT (bert-base-uncased)
• Dataset: SST-2 (GLUE Benchmark)
• Task: Binary Sentiment Classification
• Framework: Hugging Face Transformers
• Trained by: Thivinya Thiyangi Samaraweera BSc (Hons) in Information Technology (Specializing in Data Science) Sri Lanka Institute of Information Technology (SLIIT)
• Course: IT3071 - Machine Learning & Optimization Methods

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