license: mit
language:
- en
metrics:
- accuracy
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: question-answering
tags:
- IMDB
- Movie
datasets:
- ExecuteAutomation/ImdbMovieDataSet
Q&A Classification
This model is a Q&A classification model trained using Distilbert-base-uncased model.
This model helps enabling AI to better understand and respond to movie-related queries based on the data its trained on
IMDB Dataset
The IMDB dataset is a rich collection of movie-related information, including: • Movie details: Titles (original and localized), release dates, and production status • Ratings & popularity: User ratings and overall reception • Genres & themes: Categorization of movies by type and style • Summaries: Overviews describing movie plots • Cast & crew: Information on actors, directors, writers, and other contributors • Financial data: Budgets, revenues, and country of origin • Languages: Original language of the movie
This dataset serves as a valuable resource for analyzing industry trends, such as genre popularity, budget-to-revenue relationships, and predictive modeling of a movie’s success.