Add SetFit model

README.md

@@ -11,6 +11,20 @@ widget: []
 pipeline_tag: text-classification
 inference: true
 base_model: sentence-transformers/all-MiniLM-L6-v2
+model-index:
+- name: SetFit with sentence-transformers/all-MiniLM-L6-v2
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: Unknown
+      type: unknown
+      split: test
+    metrics:
+    - type: accuracy
+      value: 0.14285714285714285
+      name: Accuracy
 ---
 
 # SetFit with sentence-transformers/all-MiniLM-L6-v2
@@ -40,6 +54,13 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Paper:** [Efficient Few-Shot Learning Without Prompts](https://arxiv.org/abs/2209.11055)
 - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
 
+## Evaluation
+
+### Metrics
+| Label   | Accuracy |
+|:--------|:---------|
+| **all** | 0.1429   |
+
 ## Uses
 
 ### Direct Use for Inference