Update README.md

README.md

@@ -1,6 +1,9 @@
 ---
 library_name: transformers
-tags: [sentiment-analysis, arabic, classification]
+tags:
+- sentiment-analysis
+- arabic
+- classification
 ---
 
 # Model Card for Arabic Sentiment Muhannedsh
@@ -21,6 +24,16 @@ This is a fine-tuned BERT-based Arabic sentiment analysis model, specifically ad
 
 - **Repository:** https://huggingface.co/Muhannedbsh/arabert-sentiment-model-MuhannedSh
 
+### Training Metrics
+- **Training Loss:** 0.0315
+- **Training Accuracy:** 99.31%
+- **Training F1-Score:** 99.28%
+
+### Validation Metrics
+- **Validation Loss:** 0.2464
+- **Validation Accuracy:** 92.24%
+- **Validation F1-Score:** 92.89%
+
 ## Uses
 
 ### Direct Use
@@ -56,4 +69,4 @@ model = AutoModelForSequenceClassification.from_pretrained(model_name)
 text = "هذا المنتج رائع جدا"
 inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
-print(outputs.logits)
+print(outputs.logits)