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

@@ -1,15 +1,132 @@
 ---
 language:
 - pl
-datasets:
-  - Lajonbot/alpaca-dolly-chrisociepa-instruction-only-polish
 license: other
-model_type: llama-2
-pipeline_tag: text-generation
 tags:
 - facebook
 - meta
 - pytorch
 - llama
 - llama-2
----
+datasets:
+- Lajonbot/alpaca-dolly-chrisociepa-instruction-only-polish
+model_type: llama-2
+pipeline_tag: text-generation
+model-index:
+- name: WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+  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: 41.98
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      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: 66.82
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      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: 25.69
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      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: 39.67
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      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: 64.88
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      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: 0.68
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Aspik101/WizardVicuna-Uncensored-3B-instruct-PL-lora_unload
+      name: Open LLM Leaderboard
+---
+
+# [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_Aspik101__WizardVicuna-Uncensored-3B-instruct-PL-lora_unload)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |39.95|
+|AI2 Reasoning Challenge (25-Shot)|41.98|
+|HellaSwag (10-Shot)              |66.82|
+|MMLU (5-Shot)                    |25.69|
+|TruthfulQA (0-shot)              |39.67|
+|Winogrande (5-shot)              |64.88|
+|GSM8k (5-shot)                   | 0.68|
+