Adding Evaluation Results (#1)

- Adding Evaluation Results (68280d5d3e2da3a1f97e159c07406f53fd3b1a11)

README.md

@@ -1,9 +1,8 @@
 ---
-license: mit
 language:
 - en
+license: mit
 library_name: transformers
-pipeline_tag: text2text-generation
 tags:
 - LCARS
 - Star-Trek
@@ -17,6 +16,102 @@ tags:
 - code
 - medical
 - text-generation-inference
+pipeline_tag: text2text-generation
+model-index:
+- name: LCARS_AI_StarTrek_Computer
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 35.83
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 21.78
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 4.08
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 2.35
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 7.44
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 16.2
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/LCARS_AI_StarTrek_Computer
+      name: Open LLM Leaderboard
 ---
 If anybody has star trek data please send as this starship computer database archive needs it!
 
@@ -34,4 +129,17 @@ So those models were merged into other models which had been specifically traine
 the models were heavliy dpo trained ; and various newer methodologies installed : the deep mind series is a special series which contains self correction recal, visio spacial ... step by step thinking:
 
 SO the multi merge often fizes these errors between models as well as training gaps :Hopefully they all took and merged well !
-Performing even unknown and unprogrammed tasks:
+Performing even unknown and unprogrammed tasks:
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer__LCARS_AI_StarTrek_Computer-details)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |14.61|
+|IFEval (0-Shot)    |35.83|
+|BBH (3-Shot)       |21.78|
+|MATH Lvl 5 (4-Shot)| 4.08|
+|GPQA (0-shot)      | 2.35|
+|MuSR (0-shot)      | 7.44|
+|MMLU-PRO (5-shot)  |16.20|
+