Adding Evaluation Results (#1)

- Adding Evaluation Results (591cc4a7205397a382ddef953a9db789b9ee8baa)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

README.md

@@ -1,13 +1,108 @@
 ---
+license: apache-2.0
 library_name: transformers
 tags:
 - trl
 - sft
-license: apache-2.0
-datasets:
-- HuggingFaceTB/smoltalk
 base_model:
 - nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated
+datasets:
+- HuggingFaceTB/smoltalk
+model-index:
+- name: SmolNemo-12B-FFT-experimental
+  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: 33.48
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      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: 6.54
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      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: 0.23
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      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: 1.34
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      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: 5.92
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      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: 2.41
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/SmolNemo-12B-FFT-experimental
+      name: Open LLM Leaderboard
 ---
 
 ![image/png](https://huggingface.co/nbeerbower/SmolNemo-12B/resolve/main/smolnemo_cover.png?download=true)
@@ -26,4 +121,17 @@ base_model:
 
 SFT with 8x A100 for 0.1 epochs.
 
-This was a full finetune. I think the issues with the model can be chalked up to conflicts with Mistral Instruct and ChatML.
+This was a full finetune. I think the issues with the model can be chalked up to conflicts with Mistral Instruct and ChatML.
+# [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/details_nbeerbower__SmolNemo-12B-FFT-experimental)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               | 8.32|
+|IFEval (0-Shot)    |33.48|
+|BBH (3-Shot)       | 6.54|
+|MATH Lvl 5 (4-Shot)| 0.23|
+|GPQA (0-shot)      | 1.34|
+|MuSR (0-shot)      | 5.92|
+|MMLU-PRO (5-shot)  | 2.41|
+