Update README.md

README.md

@@ -1,6 +1,14 @@
 ---
 base_model: distilbert-base-uncased
 library_name: peft
+license: mit
+datasets:
+- stanfordnlp/imdb
+language:
+- en
+metrics:
+- accuracy
+pipeline_tag: text-classification
 ---
 
 # **Model Card for Sentiment Analysis Model**
@@ -18,7 +26,7 @@ It is designed to classify text as either **positive** or **negative** sentiment
 
 
 
-- **Developed by:** HAMZA EL JIRARI
+- **Developed by:** HAMZA JR
 - **Model type:** Transformer-based sentiment classifier 
 - **Trained on:** A labeled dataset for sentiment analysis (IMDB dataset)
 - **Library used:** `transformers`, `peft`