Adding Evaluation Results

README.md

@@ -1,7 +1,7 @@
 ---
 language:
 - en
-pipeline_tag: text-generation
+license: llama3
 tags:
 - fireplace
 - valiant
@@ -15,8 +15,103 @@ tags:
 - conversational
 - chat
 - instruct
+pipeline_tag: text-generation
 model_type: llama
-license: llama3
+model-index:
+- name: Llama3-70B-Fireplace
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 77.74
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 49.56
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 19.64
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 13.98
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 16.77
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 43.25
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3-70B-Fireplace
+      name: Open LLM Leaderboard
 ---
 
 
@@ -65,6 +160,19 @@ Fireplace is built on top of Llama 3 70b Instruct, the highest performance open-
 
 This version of Fireplace uses the [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) dataset converted to Llama 3 Instruct format.
 
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ValiantLabs__Llama3-70B-Fireplace)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |36.82|
+|IFEval (0-Shot)    |77.74|
+|BBH (3-Shot)       |49.56|
+|MATH Lvl 5 (4-Shot)|19.64|
+|GPQA (0-shot)      |13.98|
+|MuSR (0-shot)      |16.77|
+|MMLU-PRO (5-shot)  |43.25|
+
 
 
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
@@ -79,4 +187,4 @@ Fireplace is created by [Valiant Labs.](http://valiantlabs.ca/)
 We care about open source.
 For everyone to use.
 
-We encourage others to finetune further from our models.
+We encourage others to finetune further from our models.