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

@@ -1,11 +1,114 @@
 ---
 license: mit
-
 widget:
-  - text: |
-      <|user|>
-      Can you tell me a space adventure story?</s>
-      <|assistant|>
+- text: '<|user|>
+
+    Can you tell me a space adventure story?</s>
+
+    <|assistant|>'
+model-index:
+- name: 160M-TinyLLama-Mini-Cinder
+  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: 24.66
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      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: 28.16
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      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: 25.09
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      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: 44.08
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      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: 52.57
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      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=Josephgflowers/160M-TinyLLama-Mini-Cinder
+      name: Open LLM Leaderboard
 ---
 Model trained on Tiny Stories. Followed up with conversations datasets, followed up with trimmed Cinder Dataset.
 Mini Cinder is ok at conversation and story telling for kids stories.
@@ -23,3 +126,17 @@ User: Ship member.
 
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6328952f798f8d122ce62a44/1fBgUSy8Aob7glhecfY3u.png)
+
+# [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_Josephgflowers__160M-TinyLLama-Mini-Cinder)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |29.09|
+|AI2 Reasoning Challenge (25-Shot)|24.66|
+|HellaSwag (10-Shot)              |28.16|
+|MMLU (5-Shot)                    |25.09|
+|TruthfulQA (0-shot)              |44.08|
+|Winogrande (5-shot)              |52.57|
+|GSM8k (5-shot)                   | 0.00|
+