Adding Evaluation Results

README.md

@@ -1,13 +1,116 @@
 ---
 license: apache-2.0
-datasets:
-- fblgit/simple-math
-- jondurbin/bagel-v0.3
-base_model: abacusai/Smaug-34B-v0.1
 tags:
 - UNA
 - simple-math
 - juanako
+base_model: abacusai/Smaug-34B-v0.1
+datasets:
+- fblgit/simple-math
+- jondurbin/bagel-v0.3
+model-index:
+- name: UNA-SimpleSmaug-34b-v1beta
+  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: 74.57
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      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: 86.74
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      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: 76.68
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      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: 70.17
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      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: 83.82
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      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: 72.48
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fblgit/UNA-SimpleSmaug-34b-v1beta
+      name: Open LLM Leaderboard
 ---
 
 # UNA-SimpleSmaug-34b-v1beta
@@ -48,4 +151,17 @@ Increasing GSM, MMLU, ARC, WINO.
 To abacusai for making Smaug-34B, the Bagel, and all the magic behind the base model.
 
 If you use the model, provide citation even for merges or anything.
-And enjoy our ModelSimilarities tool detector https://github.com/fblgit/model-similarity
+And enjoy our ModelSimilarities tool detector https://github.com/fblgit/model-similarity
+# [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_fblgit__UNA-SimpleSmaug-34b-v1beta)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |77.41|
+|AI2 Reasoning Challenge (25-Shot)|74.57|
+|HellaSwag (10-Shot)              |86.74|
+|MMLU (5-Shot)                    |76.68|
+|TruthfulQA (0-shot)              |70.17|
+|Winogrande (5-shot)              |83.82|
+|GSM8k (5-shot)                   |72.48|
+