yaml metadata readme

README.md

@@ -1,11 +1,38 @@
-# bias-detector
 ---
 tags:
-  - bias-detector
-  - machine-learning
+  - bias-detection
+  - nlp
+  - peft
+  - lora
+  - fine-tuning
 license: mit
+datasets:
+  - your-dataset-name
+model-index:
+  - name: Bias Detector
+    results:
+      - task:
+          type: text-classification
+        dataset:
+          name: Your Dataset Name
+          type: dataset-type
+        metrics:
+          - type: accuracy
+            value: 0.92
 ---
 
-Using/Experimenting with PEFT LoRA fine-tuning on previously trained models found on Hugging Face.
+# Bias Detector
 
-Using NLP to classify, summarize, and rate the bias of a news source.
+This model is fine-tuned using **PEFT LoRA** on existing **Hugging Face models** to classify and evaluate the bias in news sources. 
+
+## Model Details
+- **Architecture:** Transformer-based (e.g., BERT, RoBERTa)
+- **Fine-tuning Method:** Parameter Efficient Fine-Tuning (LoRA)
+- **Use Case:** Bias classification, text summarization, sentiment analysis
+- **Dataset:** [Your Dataset Name](https://huggingface.co/datasets/your-dataset)
+- **Training Framework:** PyTorch + Transformers
+
+## Usage
+To use this model, install the necessary libraries:
+```bash
+pip install transformers torch