Adding Evaluation Results

README.md

@@ -1,25 +1,128 @@
 ---
-extra_gated_heading: Access Llama 2 on Hugging Face
-extra_gated_description: >-
-  This is a form to enable access to Llama 2 on Hugging Face after you have been
-  granted access from Meta. Please visit the [Meta
-  website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
-  and accept our license terms and acceptable use policy before submitting this
-  form. Requests will be processed in 1-2 days.
-extra_gated_button_content: Submit
-extra_gated_fields:
-  I agree to share my name, email address and username with Meta and confirm that I have already been granted download access on the Meta website: checkbox
 language:
 - en
-pipeline_tag: text-generation
-inference: false
+license: other
 tags:
 - facebook
 - meta
 - pytorch
 - llama
 - llama-2
-license: other
+extra_gated_heading: Access Llama 2 on Hugging Face
+extra_gated_description: This is a form to enable access to Llama 2 on Hugging Face
+  after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
+  and accept our license terms and acceptable use policy before submitting this form.
+  Requests will be processed in 1-2 days.
+extra_gated_button_content: Submit
+extra_gated_fields:
+  ? I agree to share my name, email address and username with Meta and confirm that
+    I have already been granted download access on the Meta website
+  : checkbox
+pipeline_tag: text-generation
+inference: false
+model-index:
+- name: Llama-2-7b-chat-hf-10-sparsity
+  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: 53.16
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      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: 78.26
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      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: 48.18
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      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: 45.29
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      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: 71.59
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      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: 18.42
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wang7776/Llama-2-7b-chat-hf-10-sparsity
+      name: Open LLM Leaderboard
 ---
 # Overview
 This model has been pruned to 10% sparsity using the [Wanda pruning method](https://arxiv.org/abs/2306.11695). This method requires no retraining or weight updates and still achieves competitive performance. A link to the base model can be found [here](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
@@ -137,4 +240,17 @@ Please report any software “bug,” or other problems with the models through
 |---|---|---|---|---|
 |7B| [Link](https://huggingface.co/llamaste/Llama-2-7b) | [Link](https://huggingface.co/llamaste/Llama-2-7b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-7b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-7b-chat-hf)|
 |13B| [Link](https://huggingface.co/llamaste/Llama-2-13b) | [Link](https://huggingface.co/llamaste/Llama-2-13b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-13b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-13b-hf)|
-|70B| [Link](https://huggingface.co/llamaste/Llama-2-70b) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-70b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf)|
+|70B| [Link](https://huggingface.co/llamaste/Llama-2-70b) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf) | [Link](https://huggingface.co/llamaste/Llama-2-70b-chat) | [Link](https://huggingface.co/llamaste/Llama-2-70b-hf)|
+# [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_wang7776__Llama-2-7b-chat-hf-10-sparsity)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |52.48|
+|AI2 Reasoning Challenge (25-Shot)|53.16|
+|HellaSwag (10-Shot)              |78.26|
+|MMLU (5-Shot)                    |48.18|
+|TruthfulQA (0-shot)              |45.29|
+|Winogrande (5-shot)              |71.59|
+|GSM8k (5-shot)                   |18.42|
+