| --- |
| license: mit |
| language: |
| - en |
| metrics: |
| - accuracy |
| base_model: |
| - distilbert/distilbert-base-uncased |
| pipeline_tag: question-answering |
| tags: |
| - IMDB |
| - Movie |
| datasets: |
| - ExecuteAutomation/ImdbMovieDataSet |
| --- |
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| ## Q&A Classification |
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| This model is a Q&A classification model trained using Distilbert-base-uncased model. |
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| This model helps enabling AI to better understand and respond to movie-related queries based on the data its trained on |
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| #### IMDB Dataset |
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| 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. |
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