Update README.md

README.md

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       value: 0.8386491557223265
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-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# outputs
+# distilbert_rotten_tomatoes_sentiment_classifier
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the rotten_tomatoes dataset.
 It achieves the following results on the evaluation set:
@@ -36,15 +33,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+The goal was to fine-tune a model on the rotten_tomatoes dataset to showcase an end-to-end workflow using the Hugging face library. As such, only the bare minimum  of pre-processing was used.
 
 ## Intended uses & limitations
 
-More information needed
+The model will be used as part of a blog post to help others engineers better understand what natural language processing is and how to perform a text classification.
 
 ## Training and evaluation data
 
-More information needed
+The model was evaluated using the accuracy metric that form part of the Hugging Face library.
 
 ## Training procedure