Update README.md

README.md

@@ -1,15 +1,55 @@
 ---
 base_model: unsloth/qwen3-8b-unsloth-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
-- unsloth
+- text-generation
+- rag
+- evaluation
+- information-retrieval
+- question-answering
+- retrieval-augmented-generation
+- context-evaluation
 - qwen3
-- gguf
-license: apache-2.0
+- unsloth
+- fine-tuned
 language:
 - en
+- multilingual
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+model_type: qwen3
+quantized: q8_0
+datasets:
+- evaluation
+- rag-evaluation
+metrics:
+- completeness
+- clarity
+- conciseness
+- precision
+- recall
+- mrr
+- ndcg
+- relevance
+widget:
+- example_title: "RAG Context Evaluation"
+  text: |
+    Evaluate the agent's response according to the metrics: completeness, clarity, conciseness, precision, recall, mrr, ndcg, relevance
+    
+    Question: What are the main benefits of renewable energy?
+    Retrieved contexts: [1] Renewable energy sources like solar and wind power provide clean alternatives to fossil fuels, reducing greenhouse gas emissions and air pollution. [2] These energy sources are sustainable and abundant, helping to ensure long-term energy security.
+model-index:
+- name: RAG Context Evaluator
+  results:
+  - task:
+      type: text-generation
+      name: RAG Evaluation
+    metrics:
+    - type: evaluation_score
+      name: Multi-metric Assessment
+      value: 0-5
 ---
+
 # RAG Context Evaluator - Qwen3-8B Fine-tuned 🚀
 
 ## Model Details 📋
@@ -124,4 +164,4 @@ For questions or issues regarding this model, please contact the developer throu
 
 This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)