Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -31,6 +31,109 @@ widget:
   example_title: Math Problem
 - text: In the context of computer programming, an algorithm is
   example_title: Algorithm Definition
+model-index:
+- name: Mixsmol-4x400M-v0.1-epoch1
+  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: 22.87
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      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: 30.57
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      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: 25.28
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      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: 39.03
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      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: 52.8
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      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: 0.15
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vilm/Mixsmol-4x400M-v0.1-epoch1
+      name: Open LLM Leaderboard
 ---
 # Mixsmol-4x400M-v0.1 by Ontocord
 This is the first checkpoint (Epoch 1) of Mixsmol-4x400M-v0.1
@@ -68,3 +171,17 @@ After verifying our hypothesis with this run, we will schedule a second run on b
 
 ## Contribution
 This work is a shared contribution between **Ontocord, BEE-spoke-data and VILM**
+
+# [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_vilm__Mixsmol-4x400M-v0.1-epoch1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |28.45|
+|AI2 Reasoning Challenge (25-Shot)|22.87|
+|HellaSwag (10-Shot)              |30.57|
+|MMLU (5-Shot)                    |25.28|
+|TruthfulQA (0-shot)              |39.03|
+|Winogrande (5-shot)              |52.80|
+|GSM8k (5-shot)                   | 0.15|
+