This model is an extra tuned MLM DistilBert model, used for natural language processing.
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.
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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Model tree for Maciohinda/extra-fine-tuned-distilbert-imdb
Base model
distilbert/distilbert-base-uncased