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license:
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---
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license: llama3.3
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datasets:
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- stanfordnlp/imdb
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metrics:
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- accuracy
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base_model:
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- distilbert/distilbert-base-uncased
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pipeline_tag: text-classification
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---
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This model is an extra tuned MLM DistilBert model, used for natural language processing.
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It was trained on the full dataset of IMDB for 5 epochs. It is able to classify wheter the text input, a movie review, is positive or negative.
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It's current accuracy is 92.7%. In comparison, a DistilBert model trained on a subset of IMDB data and for 3 epochs only, has 87% accuracy.
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