Update README.md

README.md

@@ -1,3 +1,31 @@
----
-license: mit
----
+---
+language: en
+tags:
+- emotion-classification
+- text-classification
+- distilbert
+datasets:
+- dair-ai/emotion
+metrics:
+- accuracy
+---
+
+# Emotion Classification Model
+## Model Description
+This model fine-tunes DistilBERT for emotion classification...
+## Training and Evaluation
+- Training Dataset: dair-ai/emotion (16,000 examples)
+- Validation Accuracy: [Your Results]
+- Test Accuracy: [Your Results]
+- Training Time: [Your Time]
+## Usage
+‘‘‘python
+from transformers import pipeline
+classifier = pipeline("text-classification",
+model="your-username/emotion-classification-model")
+text = "I’m so happy today!"
+result = classifier(text)
+print(result)
+‘‘‘
+## Limitations
+[Discuss any limitations you observed...]