Adding Evaluation Results (#1)

- Adding Evaluation Results (603bf3503c16aced95623ac2c43ca7da4f878709)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

README.md

@@ -1,13 +1,129 @@
 ---
-library_name: transformers
 license: apache-2.0
-base_model: mistralai/Mistral-7B-v0.1
+library_name: transformers
 datasets:
 - andysalerno/ansalern-nectar-inputoutput
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-sft-v3
+  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: 61.35
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      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: 82.23
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      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: 63.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      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: 48.49
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      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: 77.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      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: 32.45
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=andysalerno/mistral-sft-v3
+      name: Open LLM Leaderboard
 ---
 
 This is [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1), but with the special tokens added for ChatML, and then lightly finetuned with sft using a ChatML formatted dataset: [andysalerno/ansalern-nectar-inputoutput](https://huggingface.co/datasets/andysalerno/ansalern-nectar-inputoutput)
 
 The training was very light, so while this model correctly follows ChatML formatting, it is not intended to be a chat model.
 
-Rather, it is intended to be a base for further fine-tuning models that will use ChatML.
+Rather, it is intended to be a base for further fine-tuning models that will use ChatML.
+# [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_andysalerno__mistral-sft-v3)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |60.93|
+|AI2 Reasoning Challenge (25-Shot)|61.35|
+|HellaSwag (10-Shot)              |82.23|
+|MMLU (5-Shot)                    |63.40|
+|TruthfulQA (0-shot)              |48.49|
+|Winogrande (5-shot)              |77.66|
+|GSM8k (5-shot)                   |32.45|
+