Adding Evaluation Results

README.md

@@ -9,6 +9,109 @@ base_model:
 - beowolx/CodeNinja-1.0-OpenChat-7B
 - SanjiWatsuki/Kunoichi-DPO-v2-7B
 - mlabonne/NeuralDaredevil-7B
+model-index:
+- name: Beyonder-4x7B-random-lora
+  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: 71.25
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      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: 87.4
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      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: 64.78
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      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: 70.49
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      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: 82.16
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      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: 67.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aratako/Beyonder-4x7B-random-lora
+      name: Open LLM Leaderboard
 ---
 
 # Beyonder-4x7B-v3-random-lora
@@ -78,4 +181,17 @@ Apart from the possibility that this approach may not be effective, other potent
 | [**Aratako/Beyonder-4x7B-v3-random-lora**](https://huggingface.co/Aratako/Beyonder-4x7B-v3-random-lora)  | **5.1** | **8.1** | **9.9** | **4.1** | **3.7** | **8.55** | **9.0** | **7.7** | **7.01875** |
 | [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)  | 4.1 | 8.4 | 9.8 | 4.7 | 5.6 | 9.0 | 9.2 | 9.5 | 7.53750 |
 
-![mt-bench-2turn](./mt-bench-2turn.png)
+![mt-bench-2turn](./mt-bench-2turn.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_Aratako__Beyonder-4x7B-random-lora)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |73.91|
+|AI2 Reasoning Challenge (25-Shot)|71.25|
+|HellaSwag (10-Shot)              |87.40|
+|MMLU (5-Shot)                    |64.78|
+|TruthfulQA (0-shot)              |70.49|
+|Winogrande (5-shot)              |82.16|
+|GSM8k (5-shot)                   |67.40|
+