Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -1,12 +1,11 @@
 ---
-License: agpl-3.0
-Language:
-- En
-Pipeline_tag: text-generation
-Base_model: nvidia/Mistral-NeMo-Minitron-8B-Base
-Tags:
-- Chat
+language:
+- en
 license: agpl-3.0
+tags:
+- chat
+base_model:
+- nvidia/Mistral-NeMo-Minitron-8B-Base
 datasets:
 - anthracite-org/kalo-opus-instruct-22k-no-refusal
 - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
@@ -15,12 +14,108 @@ datasets:
 - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
 - anthracite-org/kalo_opus_misc_240827
 - anthracite-org/kalo_misc_part2
-tags:
-- chat
-language:
-- en
-base_model:
-- nvidia/Mistral-NeMo-Minitron-8B-Base
+License: agpl-3.0
+Language:
+- En
+Pipeline_tag: text-generation
+Base_model: nvidia/Mistral-NeMo-Minitron-8B-Base
+Tags:
+- Chat
+model-index:
+- name: Tor-8B
+  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: 23.82
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      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: 31.74
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      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: 5.44
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      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: 9.84
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      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: 8.82
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      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: 30.33
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Delta-Vector/Tor-8B
+      name: Open LLM Leaderboard
 ---
 
 ![](https://huggingface.co/Delta-Vector/Tor-8B/resolve/main/FinalTor8B.jpg)
@@ -205,4 +300,17 @@ Thank you to [Lucy Knada](https://huggingface.co/lucyknada), [Kalomaze](https://
 ## Training
 The training was done for 4 epochs. (This model is the 2 epoch checkpoint), I used  10 x [A40s](https://www.nvidia.com/en-us/data-center/a40/) GPUs graciously provided by [Kalomaze](https://huggingface.co/kalomaze) for the full-parameter fine-tuning of the model. 
 
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# [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_Delta-Vector__Tor-8B)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |18.33|
+|IFEval (0-Shot)    |23.82|
+|BBH (3-Shot)       |31.74|
+|MATH Lvl 5 (4-Shot)| 5.44|
+|GPQA (0-shot)      | 9.84|
+|MuSR (0-shot)      | 8.82|
+|MMLU-PRO (5-shot)  |30.33|
+