Adding Evaluation Results

README.md

@@ -1,5 +1,14 @@
 ---
 license: osl-3.0
+widget:
+- example_title: वर्तमान प्रधानमंत्री
+  messages:
+  - role: user
+    content: भारत के वर्तमान प्रधानमंत्री कौन हैं?
+- example_title: होली का महत्व
+  messages:
+  - role: user
+    content: होली का महत्व क्या है?
 model-index:
 - name: indus_1.175B
   results:
@@ -103,17 +112,98 @@ model-index:
     source:
       url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nickmalhotra/indus_1.175B
       name: Open LLM Leaderboard
-widget:
-  - example_title: वर्तमान प्रधानमंत्री
-    messages:
-      - role: user
-        content: >-
-          भारत के वर्तमान प्रधानमंत्री कौन हैं?
-  - example_title: होली का महत्व
-    messages:
-      - role: user
-        content: >-
-          होली का महत्व क्या है?
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 24.4
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 3.75
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 0.0
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.01
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.25
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 1.34
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbrahme/IndusQ
+      name: Open LLM Leaderboard
 ---
 
 # Model Card for Project Indus
@@ -474,4 +564,17 @@ Project Indus LLM is designed as a foundational model suitable for further devel
 - **Curate Targeted Data**: Ensure the training data is relevant and of high quality to improve model performance.
 - **Continuous Evaluation**: Regularly assess the model's performance during and after fine-tuning to maintain accuracy and reduce biases.
 
-This disclaimer aims to provide users with a clear understanding of the model's capabilities and limitations, facilitating its effective application and development.
+This disclaimer aims to provide users with a clear understanding of the model's capabilities and limitations, facilitating its effective application and development.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbrahme__IndusQ)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               | 5.62|
+|IFEval (0-Shot)    |24.40|
+|BBH (3-Shot)       | 3.75|
+|MATH Lvl 5 (4-Shot)| 0.00|
+|GPQA (0-shot)      | 2.01|
+|MuSR (0-shot)      | 2.25|
+|MMLU-PRO (5-shot)  | 1.34|
+