Adding Evaluation Results

README.md

@@ -1,12 +1,115 @@
 ---
 license: apache-2.0
-base_model: teknium/OpenHermes-2.5-Mistral-7B
+library_name: Bunkatopics
 datasets:
 - bunkalab/topic_based_chatml_dpo_pairs
-library_name: Bunkatopics
+base_model: teknium/OpenHermes-2.5-Mistral-7B
 widget:
 - text: Tell a danish joke in french
 pipeline_tag: text-generation
+model-index:
+- name: TopicNeuralHermes-2.5-Mistral-7B
+  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: 67.06
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      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: 85.44
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      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: 63.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      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: 55.47
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      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: 78.3
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      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: 54.21
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
+      name: Open LLM Leaderboard
 ---
 
 
@@ -139,4 +242,17 @@ You can find the results of the running on Weights & Biases: https://wandb.ai/bu
 ## Model Family Tree
 
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c13d74f02ef5b95e0e448e/MDtFeO_SoigL748c6xTmc.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c13d74f02ef5b95e0e448e/MDtFeO_SoigL748c6xTmc.png)
+# [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_charlesdedampierre__TopicNeuralHermes-2.5-Mistral-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |67.36|
+|AI2 Reasoning Challenge (25-Shot)|67.06|
+|HellaSwag (10-Shot)              |85.44|
+|MMLU (5-Shot)                    |63.66|
+|TruthfulQA (0-shot)              |55.47|
+|Winogrande (5-shot)              |78.30|
+|GSM8k (5-shot)                   |54.21|
+