DistilBERT for Sentiment Analysis - IMDB Movie Reviews

This model is a fine-tuned version of distilbert-base-uncased on the IMDB dataset, trained for sentiment analysis of movie reviews.

Model Details

Performance

Evaluation on a balanced test set of 100 examples (50 positive, 50 negative):

Metric Value
Accuracy 84.00%
F1 Score 0.8462
Precision 81.48%
Recall 88.00%
Inference Time ~3.30 ms/example

Uses

Direct Use

This model can be used directly for sentiment analysis of text, particularly movie reviews:

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Model size
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Dataset used to train shane-reaume/imdb-sentiment-analysis