Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,5 +1,108 @@
 ---
 license: apache-2.0
+model-index:
+- name: alignment-handbook-zephyr-7b_ppo_5e7step_102
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 59.22
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 82.45
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 59.62
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 41.56
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 77.03
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 30.33
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+      name: Open LLM Leaderboard
 ---
 
 ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
@@ -31,4 +134,17 @@ ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
 ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
 ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
 ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
-ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+ewqr2130/alignment-handbook-zephyr-7b_ppo_5e7step_102
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ewqr2130__alignment-handbook-zephyr-7b_ppo_5e7step_102)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |58.37|
+|AI2 Reasoning Challenge (25-Shot)|59.22|
+|HellaSwag (10-Shot)              |82.45|
+|MMLU (5-Shot)                    |59.62|
+|TruthfulQA (0-shot)              |41.56|
+|Winogrande (5-shot)              |77.03|
+|GSM8k (5-shot)                   |30.33|
+