Update README.md

README.md

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+---
+language: [es]
+license: mit
+tags:
+  - text-classification
+  - agriculture
+  - climate
+  - potato
+  - Peru
+  - Huancavelica
+  - LLaMA
+  - environmental-prediction
+model-index:
+  - name: llama-lateblight-classifier
+    results:
+      - task:
+          type: text-classification
+          name: Potato Late Blight Risk Classification
+        dataset:
+          name: Huancavelica Late Blight Benchmark (Balanced)
+          type: tabular
+        metrics:
+          - name: Accuracy
+            type: accuracy
+            value: 0.97
+          - name: F1 (macro)
+            type: f1
+            value: 0.97
+          - name: Precision
+            type: precision
+            value: 0.97
+          - name: Recall
+            type: recall
+            value: 0.97
+pipeline_tag: text-classification
+library_name: transformers
+---
+
 # 🌾 LLaMA Late Blight Classifier (Huancavelica, Peru)
 
 This model is a fine-tuned classifier based on `openlm-research/open_llama_3b`, trained to predict **potato late blight risk levels** (`Bajo`, `Moderado`, `Alto`) in the highlands of Huancavelica, Peru. It uses environmental inputs (temperature, humidity, precipitation) and crop variety metadata to output discrete classifications.