# Rotten Tomatoes Sentiment DistilBERT
This model is a fine-tuned version of `distilbert-base-uncased` for binary sentiment classification on movie review snippets from the Rotten Tomatoes dataset. The model predicts whether a given movie review sentence expresses a **positive** or **negative** sentiment.
## Model Details
### Base Model
The base model is `distilbert-base-uncased`, a smaller and faster distilled version of BERT. It is designed to retain much of BERT’s language understanding ability while being more lightweight.
### Fine-Tuned Task
This model was fine-tuned for **text classification**, specifically **binary sentiment analysis**.
The two output labels are:
| Label ID | Label |
| -------- | -------- |
| 0 | NEGATIVE |
| 1 | POSITIVE |
## Dataset
This model was fine-tuned using the `cornell-movie-review-data/rotten_tomatoes` dataset from Hugging Face Datasets.
The dataset contains short movie review sentences labeled as either positive or negativ…
