Update README.md

README.md

@@ -2,7 +2,7 @@
 license: apache-2.0
 tags:
   - text-classification
-  - sentiment-analysis
+  - topic-analysis
   - vietnamese
   - vsfc
   - phobert
@@ -11,31 +11,31 @@ language:
 datasets:
   - uit-vsfc
 model-index:
-  - name: VSFC Sentiment Classifier (PhoBERT)
+  - name: VSFC Topic Classifier (PhoBERT)
     results:
       - task:
           type: text-classification
-          name: Sentiment Analysis
+          name: Topic Classification
         dataset:
           name: UIT-VSFC
           type: uit-vsfc
         metrics:
           - type: accuracy
-            value: 85.3
+            value: 89.1346
           - type: f1
-            value: 84.7
+            value: 89.0436
 ---
 
 # VSFC Sentiment Classifier using PhoBERT
 
-This model is fine-tuned from [`vinai/phobert-base`](https://huggingface.co/vinai/phobert-base) on the UIT-VSFC dataset for Vietnamese sentiment analysis.
+This model is fine-tuned from [`vinai/phobert-base`](https://huggingface.co/vinai/phobert-base) on the UIT-VSFC dataset for Vietnamese Students Feedback Corpus topic analysis.
 
 ## 🧠 Model Details
 
 - **Model type**: Transformer (BERT-based)
 - **Base model**: [`vinai/phobert-base`](https://huggingface.co/vinai/phobert-base)
-- **Fine-tuned task**: Sentence-level sentiment classification
-- **Target labels**: Positive, Negative, Neutral
+- **Fine-tuned task**: Sentence-level topc classification
+- **Target labels**: Lecturer, Training program, Facility, Others
 - **Tokenizer**: SentencePiece BPE
 
 ## 📚 Training Data