Adding Evaluation Results (#1)

- Adding Evaluation Results (c9c99cece9f89c604da80669e8eee308c3043f2e)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

README.md

@@ -1,12 +1,115 @@
 ---
 license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
+library_name: transformers
 tags:
 - openchat
 - mistral
 - C-RLFT
-library_name: transformers
+base_model: mistralai/Mistral-7B-v0.1
 pipeline_tag: text-generation
+model-index:
+- name: openchat-3.5-0106-11b
+  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: 63.65
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      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: 78.64
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      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: 62.54
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      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: 48.07
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      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: 78.06
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      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: 34.5
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=CallComply/openchat-3.5-0106-11b
+      name: Open LLM Leaderboard
 ---
 <div align="center">
   <img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
@@ -273,3 +376,17 @@ Our OpenChat 3.5 code and models are distributed under the Apache License 2.0.
 
 * Wang Guan [[email protected]], Cheng Sijie [[email protected]], Alpay Ariyak [[email protected]]
 * We look forward to hearing you and collaborating on this exciting project!
+
+# [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_CallComply__openchat-3.5-0106-11b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |60.91|
+|AI2 Reasoning Challenge (25-Shot)|63.65|
+|HellaSwag (10-Shot)              |78.64|
+|MMLU (5-Shot)                    |62.54|
+|TruthfulQA (0-shot)              |48.07|
+|Winogrande (5-shot)              |78.06|
+|GSM8k (5-shot)                   |34.50|
+