Adding Evaluation Results (#2)

- Adding Evaluation Results (fa1eb1a8b4bf8cb2959d94c704627d8515fe308a)


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

README.md

@@ -1,17 +1,119 @@
 ---
-license: other
-license_name: qwen
-license_link: >-
-  https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
 language:
 - en
 - zh
+license: other
 library_name: transformers
-pipeline_tag: text-generation
-inference: false
 tags:
 - llama
 - qwen
+license_name: qwen
+license_link: https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
+pipeline_tag: text-generation
+inference: false
+model-index:
+- name: Qwen-14B-Chat-LLaMAfied
+  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: 57.51
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      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: 82.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      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: 65.57
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      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: 51.99
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      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: 72.93
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      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: 39.5
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hiyouga/Qwen-14B-Chat-LLaMAfied
+      name: Open LLM Leaderboard
 ---
 
 This is the LLaMAfied version of [Qwen-14B-Chat](https://huggingface.co/Qwen/Qwen-14B-Chat) model by Alibaba Cloud.
@@ -48,3 +150,17 @@ You could also alternatively launch a CLI demo by using the script in [LLaMA-Fac
 ```bash
 python src/cli_demo.py --template qwen --model_name_or_path hiyouga/Qwen-14B-Chat-LLaMAfied
 ```
+
+# [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_hiyouga__Qwen-14B-Chat-LLaMAfied)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |61.60|
+|AI2 Reasoning Challenge (25-Shot)|57.51|
+|HellaSwag (10-Shot)              |82.11|
+|MMLU (5-Shot)                    |65.57|
+|TruthfulQA (0-shot)              |51.99|
+|Winogrande (5-shot)              |72.93|
+|GSM8k (5-shot)                   |39.50|
+