Adding Evaluation Results

README.md

@@ -1,7 +1,5 @@
 ---
 license: other
-license_name: yi-license
-license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
 datasets:
 - ai2_arc
 - unalignment/spicy-3.1
@@ -27,11 +25,116 @@ datasets:
 - Intel/orca_dpo_pairs
 - unalignment/toxic-dpo-v0.1
 - jondurbin/truthy-dpo-v0.1
-- allenai/ultrafeedback_binarized_cleaned 
+- allenai/ultrafeedback_binarized_cleaned
 - Squish42/bluemoon-fandom-1-1-rp-cleaned
 - LDJnr/Capybara
 - JULIELab/EmoBank
 - kingbri/PIPPA-shareGPT
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+model-index:
+- name: UNA-34Beagles-32K-bf16-v1
+  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: 73.55
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      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: 85.93
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      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: 76.45
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      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: 73.55
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      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: 82.95
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      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: 60.05
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=one-man-army/UNA-34Beagles-32K-bf16-v1
+      name: Open LLM Leaderboard
 ---
 
 # A bagel, with everything
@@ -179,3 +282,17 @@ If you *really* want to use `<|im_start|>` and `<|im_end|>`, just update your `t
 {instruction} [/INST]
 ```
 
+
+# [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_one-man-army__UNA-34Beagles-32K-bf16-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |75.41|
+|AI2 Reasoning Challenge (25-Shot)|73.55|
+|HellaSwag (10-Shot)              |85.93|
+|MMLU (5-Shot)                    |76.45|
+|TruthfulQA (0-shot)              |73.55|
+|Winogrande (5-shot)              |82.95|
+|GSM8k (5-shot)                   |60.05|
+