Update README.md

README.md

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 # imdb-distilbert
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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 ## Model description
 
-More information needed
+This model, named imdb-distilbert, is fine-tuned from the distilbert-base-uncased checkpoint on the IMDB movie review dataset for the sentiment classification task. 
+It's designed to predict whether a movie review is positive or negative based on the textual content of the review.
+This model can be used to automatically classify new movie reviews into positive or negative categories.
+
 
 ## Intended uses & limitations
 
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 ## Training and evaluation data
 
-More information needed
+The model was trained on the IMDB dataset, which contains 50,000 movie reviews split evenly into 25,000 training  and 25,000 testing datasets. 
+Each entry is labeled as either 0 (negative) or 1 (positive).
+It achieves the following results on the evaluation set:
+- Loss: 1.4670
+- Accuracy: 0.8528
 
 ## Training procedure