Adding Evaluation Results

README.md

@@ -2,6 +2,109 @@
 license: apache-2.0
 datasets:
 - abacusai/MetaMathFewshot
+model-index:
+- name: MM-Orc-Vic-bagel-34b-c1000
+  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: 67.32
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      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: 83.52
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      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: 76.09
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      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: 60.57
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      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: 82.32
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      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: 72.25
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abacusai/MM-Orc-Vic-bagel-34b-c1000
+      name: Open LLM Leaderboard
 ---
 
 Finetune of the DPO Bagel model (https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2) on the MetamathFewshot (https://huggingface.co/datasets/abacusai/MetaMathFewshot) dataset
@@ -12,4 +115,17 @@ Finetune of the DPO Bagel model (https://huggingface.co/jondurbin/nontoxic-bagel
 | --- | --- | --- | --- | --- | --- | --- |
 |     |  |  |  |  |  |  |
 
-For comparison the GSM8K score for the original `nontoxic-bagel-34b-v0.2` model was 58.45 and average score was 74.69
+For comparison the GSM8K score for the original `nontoxic-bagel-34b-v0.2` model was 58.45 and average score was 74.69
+# [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_abacusai__MM-Orc-Vic-bagel-34b-c1000)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |73.68|
+|AI2 Reasoning Challenge (25-Shot)|67.32|
+|HellaSwag (10-Shot)              |83.52|
+|MMLU (5-Shot)                    |76.09|
+|TruthfulQA (0-shot)              |60.57|
+|Winogrande (5-shot)              |82.32|
+|GSM8k (5-shot)                   |72.25|
+