Adding Evaluation Results

README.md

@@ -5,6 +5,109 @@ tags:
 - moe
 license_name: yi-license
 license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+model-index:
+- name: 4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+  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: 73.21
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      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: 86.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      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: 75.44
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      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: 72.78
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      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: 82.95
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      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: 71.19
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO
+      name: Open LLM Leaderboard
 ---
 
 this is a 4 bit DPO fine-tuned MoE model for [TomGrc/FusionNet_34Bx2_MoE_v0.1](https://huggingface.co/TomGrc/FusionNet_34Bx2_MoE_v0.1)
@@ -17,3 +120,17 @@ TRL supports the DPO Trainer for training language models from preference data,
 Metrics
 ![Metrics](4bit.vs.16.jpg)
 
+
+# [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_cloudyu__4bit_quant_TomGrc_FusionNet_34Bx2_MoE_v0.1_DPO)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |76.95|
+|AI2 Reasoning Challenge (25-Shot)|73.21|
+|HellaSwag (10-Shot)              |86.11|
+|MMLU (5-Shot)                    |75.44|
+|TruthfulQA (0-shot)              |72.78|
+|Winogrande (5-shot)              |82.95|
+|GSM8k (5-shot)                   |71.19|
+