Adding Evaluation Results

README.md

@@ -1,7 +1,110 @@
 ---
-license: cc-by-nc-4.0
 language:
 - ko
+license: cc-by-nc-4.0
+model-index:
+- name: LDCC-SOLAR-10.7B
+  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: 67.32
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      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: 88.11
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      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: 66.83
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      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: 68.85
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      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: 83.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      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: 53.6
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LDCC/LDCC-SOLAR-10.7B
+      name: Open LLM Leaderboard
 ---
 
 # Model Card for LDCC-SOLAR-10.7B
@@ -20,4 +123,17 @@ language:
 - [yanolja/KoSOLAR-10.7B-v0.1](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.1) (This model is no longer supported due to a tokenizer issue.)
 
 ## Caution
-- If you want to fine-tune this model, it is recommended to use the [tokenizer.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer.json) and [tokenizer_config.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer_config.json) files from revision v1.1.
+- If you want to fine-tune this model, it is recommended to use the [tokenizer.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer.json) and [tokenizer_config.json](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B/blob/v1.1/tokenizer_config.json) files from revision v1.1.
+# [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_LDCC__LDCC-SOLAR-10.7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.40|
+|AI2 Reasoning Challenge (25-Shot)|67.32|
+|HellaSwag (10-Shot)              |88.11|
+|MMLU (5-Shot)                    |66.83|
+|TruthfulQA (0-shot)              |68.85|
+|Winogrande (5-shot)              |83.66|
+|GSM8k (5-shot)                   |53.60|
+