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

@@ -1,73 +1,78 @@
 ---
+language:
+- en
 license: apache-2.0
+datasets:
+- databricks/databricks-dolly-15k
+- Felladrin/ChatML-databricks-dolly-15k
+- euclaise/reddit-instruct-curated
+- Felladrin/ChatML-reddit-instruct-curated
+- THUDM/webglm-qa
+- Felladrin/ChatML-WebGLM-QA
+- starfishmedical/webGPT_x_dolly
+- Felladrin/ChatML-webGPT_x_dolly
+- LDJnr/Capybara
+- Felladrin/ChatML-Capybara
+- Open-Orca/SlimOrca-Dedup
+- Felladrin/ChatML-SlimOrca-Dedup
+- HuggingFaceH4/ultrachat_200k
+- Felladrin/ChatML-ultrachat_200k
+- nvidia/HelpSteer
+- Felladrin/ChatML-HelpSteer
+- sablo/oasst2_curated
+- Felladrin/ChatML-oasst2_curated
+- CohereForAI/aya_dataset
+- Felladrin/ChatML-aya_dataset
+- argilla/distilabel-capybara-dpo-7k-binarized
+- Felladrin/ChatML-distilabel-capybara-dpo-7k-binarized
+- argilla/distilabel-intel-orca-dpo-pairs
+- Felladrin/ChatML-distilabel-intel-orca-dpo-pairs
+- argilla/ultrafeedback-binarized-preferences
+- Felladrin/ChatML-ultrafeedback-binarized-preferences
+- sablo/oasst2_dpo_pairs_en
+- Felladrin/ChatML-oasst2_dpo_pairs_en
+- NeuralNovel/Neural-DPO
+- Felladrin/ChatML-Neural-DPO
 base_model: Felladrin/Minueza-32M-Base
 pipeline_tag: text-generation
-language:
-  - en
-datasets:
-  - databricks/databricks-dolly-15k
-  - Felladrin/ChatML-databricks-dolly-15k
-  - euclaise/reddit-instruct-curated
-  - Felladrin/ChatML-reddit-instruct-curated
-  - THUDM/webglm-qa
-  - Felladrin/ChatML-WebGLM-QA
-  - starfishmedical/webGPT_x_dolly
-  - Felladrin/ChatML-webGPT_x_dolly
-  - LDJnr/Capybara
-  - Felladrin/ChatML-Capybara
-  - Open-Orca/SlimOrca-Dedup
-  - Felladrin/ChatML-SlimOrca-Dedup
-  - HuggingFaceH4/ultrachat_200k
-  - Felladrin/ChatML-ultrachat_200k
-  - nvidia/HelpSteer
-  - Felladrin/ChatML-HelpSteer
-  - sablo/oasst2_curated
-  - Felladrin/ChatML-oasst2_curated
-  - CohereForAI/aya_dataset
-  - Felladrin/ChatML-aya_dataset
-  - argilla/distilabel-capybara-dpo-7k-binarized
-  - Felladrin/ChatML-distilabel-capybara-dpo-7k-binarized
-  - argilla/distilabel-intel-orca-dpo-pairs
-  - Felladrin/ChatML-distilabel-intel-orca-dpo-pairs
-  - argilla/ultrafeedback-binarized-preferences
-  - Felladrin/ChatML-ultrafeedback-binarized-preferences
-  - sablo/oasst2_dpo_pairs_en
-  - Felladrin/ChatML-oasst2_dpo_pairs_en
-  - NeuralNovel/Neural-DPO
-  - Felladrin/ChatML-Neural-DPO
 widget:
-  - messages:
-      - role: system
-        content: >-
-          You are a career counselor. The user will provide you with an individual looking for guidance in their professional life, and your task is to assist them in determining what careers they are most suited for based on their skills, interests, and experience. You should also conduct research into the various options available, explain the job market trends in different industries, and advice on which qualifications would be beneficial for pursuing particular fields.
-      - role: user
-        content: Heya!
-      - role: assistant
-        content: Hi! How may I help you?
-      - role: user
-        content: >-
-          I am interested in developing a career in software engineering. What
-          would you recommend me to do?
-  - messages:
-      - role: system
-        content: You are a highly knowledgeable assistant. Help the user as much as you can.
-      - role: user
-        content: How can I become a healthier person?
-  - messages:
-      - role: system
-        content: You are a helpful assistant who gives creative responses.
-      - role: user
-        content: Write the specs of a game about mages in a fantasy world.
-  - messages:
-      - role: system
-        content: You are a helpful assistant who answers user's questions with details.
-      - role: user
-        content: Tell me about the pros and cons of social media.
-  - messages:
-      - role: system
-        content: You are a helpful assistant who answers user's questions with details and curiosity.
-      - role: user
-        content: What are some potential applications for quantum computing?
+- messages:
+  - role: system
+    content: You are a career counselor. The user will provide you with an individual
+      looking for guidance in their professional life, and your task is to assist
+      them in determining what careers they are most suited for based on their skills,
+      interests, and experience. You should also conduct research into the various
+      options available, explain the job market trends in different industries, and
+      advice on which qualifications would be beneficial for pursuing particular fields.
+  - role: user
+    content: Heya!
+  - role: assistant
+    content: Hi! How may I help you?
+  - role: user
+    content: I am interested in developing a career in software engineering. What
+      would you recommend me to do?
+- messages:
+  - role: system
+    content: You are a highly knowledgeable assistant. Help the user as much as you
+      can.
+  - role: user
+    content: How can I become a healthier person?
+- messages:
+  - role: system
+    content: You are a helpful assistant who gives creative responses.
+  - role: user
+    content: Write the specs of a game about mages in a fantasy world.
+- messages:
+  - role: system
+    content: You are a helpful assistant who answers user's questions with details.
+  - role: user
+    content: Tell me about the pros and cons of social media.
+- messages:
+  - role: system
+    content: You are a helpful assistant who answers user's questions with details
+      and curiosity.
+  - role: user
+    content: What are some potential applications for quantum computing?
 inference:
   parameters:
     max_new_tokens: 250
@@ -76,6 +81,109 @@ inference:
     top_p: 0.55
     top_k: 35
     repetition_penalty: 1.176
+model-index:
+- name: Minueza-32M-Chat
+  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: 20.39
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Chat
+      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: 26.54
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Chat
+      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: 25.75
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Chat
+      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: 47.27
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Chat
+      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: 50.99
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Felladrin/Minueza-32M-Chat
+      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=Felladrin/Minueza-32M-Chat
+      name: Open LLM Leaderboard
 ---
 
 # Minueza-32M-Chat: A chat model with 32 million parameters
@@ -182,3 +290,17 @@ For Direct Preference Optimization:
 | weight_decay                | 0                                             |
 | warmup_ratio                | 0.02                                          |
 | beta                        | 0.1                                           |
+
+# [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-Chat)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |28.49|
+|AI2 Reasoning Challenge (25-Shot)|20.39|
+|HellaSwag (10-Shot)              |26.54|
+|MMLU (5-Shot)                    |25.75|
+|TruthfulQA (0-shot)              |47.27|
+|Winogrande (5-shot)              |50.99|
+|GSM8k (5-shot)                   | 0.00|
+