---
library_name: transformers
tags:
- sentiment_analysis
- bert
- fine-tuning
- sst2
language:
- en
---

# Model Card for Model ID

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


## Model Details

### Model Description

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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


This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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