Adding Evaluation Results (#3)

- Adding Evaluation Results (b1c28318ad5e4eb5b3714f3821e6c50546ed50bf)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

README.md

@@ -1,8 +1,111 @@
 ---
-library_name: transformers
 license: apache-2.0
+library_name: transformers
 datasets:
 - jondurbin/truthy-dpo-v0.1
+model-index:
+- name: WestLake-7B-v2-laser-truthy-dpo
+  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: 73.89
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      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: 88.85
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      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: 64.84
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      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: 69.81
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      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: 86.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      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: 68.16
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/WestLake-7B-v2-laser-truthy-dpo
+      name: Open LLM Leaderboard
 ---
 
 # WestLake-7B-v2-laser-truthy-dpo
@@ -121,3 +224,17 @@ If a question does not make any sense, or is not factually coherent, explain why
 
 Hello, how are you? [/INST] I'm doing great. How can I help you today? </s><s>[INST] I'd like to show off how chat templating works! [/INST] While discussing the concept of chat templating, I understand your intent highlights exemplifying its nature. Kindly provide contextual phrases or scenarios to let me demonstrate how it adapts to various inputs while maintaining a consistent flow of information exchange. This way, you'll witness how templates shape responses in a structured manner within chat dialogues. [[INST]]I apologize if my earlier comment seemed off topic. Let's shift back to the original subject of discussing helpful AI assistants. [INST] Not a problem at all! Our primary objective remains ensuring useful and polite interactions. Let's delve into more aspects of beneficial AI assistance. Feel free to ask specific questions or areas of interest you may have in mind.
 ```
+
+# [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_macadeliccc__WestLake-7B-v2-laser-truthy-dpo)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |75.37|
+|AI2 Reasoning Challenge (25-Shot)|73.89|
+|HellaSwag (10-Shot)              |88.85|
+|MMLU (5-Shot)                    |64.84|
+|TruthfulQA (0-shot)              |69.81|
+|Winogrande (5-shot)              |86.66|
+|GSM8k (5-shot)                   |68.16|
+