Adding Evaluation Results

README.md

@@ -1,13 +1,121 @@
 ---
-license: apache-2.0
 language:
 - en
+license: apache-2.0
 base_model:
 - Dans-DiscountModels/mistral-7b-v0.3-ChatML
+model-index:
+- name: mistral-7b-test-merged
+  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: 66.24
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      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: 28.41
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      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: 4.15
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      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: 7.38
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      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: 2.99
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      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: 21.46
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Dans-DiscountModels/mistral-7b-test-merged
+      name: Open LLM Leaderboard
 ---
 This model is an early release of an upcoming model for testing purposes. The format is ChatML. If you use this model let me know how it goes.
 
 ### Training details:
 - 1x RTX 4080 + x RTX 3090
 - Rank 64 RSLoRA
-- 68 Hours runtime
+- 68 Hours runtime
+# [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_Dans-DiscountModels__mistral-7b-test-merged)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |21.77|
+|IFEval (0-Shot)    |66.24|
+|BBH (3-Shot)       |28.41|
+|MATH Lvl 5 (4-Shot)| 4.15|
+|GPQA (0-shot)      | 7.38|
+|MuSR (0-shot)      | 2.99|
+|MMLU-PRO (5-shot)  |21.46|
+