Add evaluation results on the filter config and test split of phpthinh/exampleem

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the filter config and test split of the [phpthinh/exampleem](https://huggingface.co/datasets/phpthinh/exampleem) dataset by @phpthinh , using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-phpthinh__exampleem-filter-918293-1728760349).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=phpthinh/exampleem).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=phpthinh/exampleem).

README.md

@@ -50,6 +50,26 @@ language:
 - zht
 - zu
 pipeline_tag: text-generation
+model-index:
+- name: bigscience/bloom-7b1
+  results:
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: phpthinh/exampleem
+      type: phpthinh/exampleem
+      config: filter
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.21645021645021645
+      verified: true
+    - name: Loss
+      type: loss
+      value: 2.6071161256100535
+      verified: true
 ---
 
 <h1 style='text-align: center '>BLOOM LM</h1>