Adding Evaluation Results

README.md

@@ -1,12 +1,115 @@
 ---
-thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
-license: mit
-datasets:
-- Anthropic/hh-rlhf
 language:
 - ja
 - en
+license: mit
+datasets:
+- Anthropic/hh-rlhf
+thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
 inference: false
+model-index:
+- name: bilingual-gpt-neox-4b-instruction-sft
+  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: 28.07
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      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: 47.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      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: 23.12
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      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: 43.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      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: 52.33
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      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: 0.0
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rinna/bilingual-gpt-neox-4b-instruction-sft
+      name: Open LLM Leaderboard
 ---
 
 # bilingual-gpt-neox-4b-instruction-sft
@@ -171,4 +274,16 @@ The model uses a [sentencepiece](https://github.com/google/sentencepiece)-based
 ---
 
 # Licenese
-[The MIT license](https://opensource.org/licenses/MIT)
+[The MIT license](https://opensource.org/licenses/MIT)
+# [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_rinna__bilingual-gpt-neox-4b-instruction-sft)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 32.46   |
+| ARC (25-shot)         | 28.07          |
+| HellaSwag (10-shot)   | 47.5    |
+| MMLU (5-shot)         | 23.12         |
+| TruthfulQA (0-shot)   | 43.76   |
+| Winogrande (5-shot)   | 52.33   |
+| GSM8K (5-shot)        | 0.0        |