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

@@ -1,33 +1,34 @@
 ---
-license: apache-2.0
-pipeline_tag: text-generation
 language:
-  - en
+- en
+license: apache-2.0
 tags:
-  - pretrained
+- pretrained
 datasets:
-  - Skylion007/openwebtext
-  - c4
-  - wikimedia/wikipedia
-  - tiiuae/falcon-refinedweb
-  - izumi-lab/open-text-books
-  - togethercomputer/RedPajama-Data-V2
-  - databricks/databricks-dolly-15k
-  - euclaise/reddit-instruct-curated
-  - CohereForAI/aya_dataset
+- Skylion007/openwebtext
+- c4
+- wikimedia/wikipedia
+- tiiuae/falcon-refinedweb
+- izumi-lab/open-text-books
+- togethercomputer/RedPajama-Data-V2
+- databricks/databricks-dolly-15k
+- euclaise/reddit-instruct-curated
+- CohereForAI/aya_dataset
+pipeline_tag: text-generation
 widget:
-  - messages:
-      - role: user
-        content: Specs of a game about trolls and warriors in a fantasy world.
-  - messages:
-      - role: user
-        content: Reducing waste generation is essential to...
-  - messages:
-      - role: user
-        content: Water, planet, resource, future
-  - messages:
-      - role: user
-        content: Background story of an RPG game about wizards and dragons in a sci-fi world. The story takes place in a...
+- messages:
+  - role: user
+    content: Specs of a game about trolls and warriors in a fantasy world.
+- messages:
+  - role: user
+    content: Reducing waste generation is essential to...
+- messages:
+  - role: user
+    content: Water, planet, resource, future
+- messages:
+  - role: user
+    content: Background story of an RPG game about wizards and dragons in a sci-fi
+      world. The story takes place in a...
 inference:
   parameters:
     max_new_tokens: 250
@@ -36,6 +37,109 @@ inference:
     top_p: 0.55
     top_k: 35
     repetition_penalty: 1.176
+model-index:
+- name: Minueza-32M-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: 21.33
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-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: 26.39
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-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: 24.8
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-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: 47.45
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-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: 53.2
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-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: 0.38
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Base
+      name: Open LLM Leaderboard
 ---
 
 # Minueza-32M-Base
@@ -140,3 +244,17 @@ print(output[0]["generated_text"])
 ## License
 
 This model is licensed under the [Apache License 2.0](https://huggingface.co/Felladrin/Minueza-32M-Base/resolve/main/license.txt).
+
+# [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_Felladrin__Minueza-32M-Base)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |28.92|
+|AI2 Reasoning Challenge (25-Shot)|21.33|
+|HellaSwag (10-Shot)              |26.39|
+|MMLU (5-Shot)                    |24.80|
+|TruthfulQA (0-shot)              |47.45|
+|Winogrande (5-shot)              |53.20|
+|GSM8k (5-shot)                   | 0.38|
+