Adding Evaluation Results

README.md

@@ -1,8 +1,111 @@
 ---
-license: mit
 language:
 - kn
 - en
+license: mit
+model-index:
+- name: Kan-LLaMA-7B-base
+  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: 43.94
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fierysurf/Kan-LLaMA-7B-base
+      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: 70.75
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fierysurf/Kan-LLaMA-7B-base
+      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: 37.06
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fierysurf/Kan-LLaMA-7B-base
+      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: 39.57
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fierysurf/Kan-LLaMA-7B-base
+      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: 68.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fierysurf/Kan-LLaMA-7B-base
+      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=fierysurf/Kan-LLaMA-7B-base
+      name: Open LLM Leaderboard
 ---
 
 # Kannada LLaMA 7B
@@ -15,4 +118,17 @@ For those who are interested in a deeper understanding of the Kannada LLaMA 7B m
 
 The blog is an excellent resource for anyone looking to gain a comprehensive understanding of the model, whether you are a student, researcher, or a professional in the field of machine learning and language processing. 
 
-In summary, this repository serves as a gateway to accessing the sharded version of the Kannada LLaMA 7B model and provides links to the original model and an informative blog post for a more in-depth exploration. We encourage all interested parties to explore these resources to fully appreciate the capabilities and advancements represented by the Kannada LLaMA 7B model.
+In summary, this repository serves as a gateway to accessing the sharded version of the Kannada LLaMA 7B model and provides links to the original model and an informative blog post for a more in-depth exploration. We encourage all interested parties to explore these resources to fully appreciate the capabilities and advancements represented by the Kannada LLaMA 7B model.
+# [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_fierysurf__Kan-LLaMA-7B-base)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |43.31|
+|AI2 Reasoning Challenge (25-Shot)|43.94|
+|HellaSwag (10-Shot)              |70.75|
+|MMLU (5-Shot)                    |37.06|
+|TruthfulQA (0-shot)              |39.57|
+|Winogrande (5-shot)              |68.51|
+|GSM8k (5-shot)                   | 0.00|
+