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Model: juhwanlee/llmdo-Mistral-7B-case-c-v1
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+datasets:
+- Open-Orca/OpenOrca
+model-index:
+- name: llmdo-Mistral-7B-case-c-v1
+  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: 62.03
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      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: 83.55
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      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: 62.69
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      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: 45.82
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      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: 79.08
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      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: 39.8
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=juhwanlee/llmdo-Mistral-7B-case-c-v1
+      name: Open LLM Leaderboard
+---
+
+# Model Details
+* Model Description: This model is test for data ordering.
+* Developed by: Juhwan Lee
+* Model Type: Large Language Model
+
+# Model Architecture
+This model is based on Mistral-7B-v0.1. We fine-tuning this model for data ordering task.
+
+Mistral-7B-v0.1 is a transformer model, with the following architecture choices:
+
+* Grouped-Query Attention
+* Sliding-Window Attention
+* Byte-fallback BPE tokenizer
+
+# Dataset
+We random sample Open-Orca dataset. (We finetune the 100,000 dataset)
+
+# Guthub
+https://github.com/trailerAI
+
+# License
+Apache License 2.0
+# [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_juhwanlee__llmdo-Mistral-7B-case-c-v1)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |62.16|
+|AI2 Reasoning Challenge (25-Shot)|62.03|
+|HellaSwag (10-Shot)              |83.55|
+|MMLU (5-Shot)                    |62.69|
+|TruthfulQA (0-shot)              |45.82|
+|Winogrande (5-shot)              |79.08|
+|GSM8k (5-shot)                   |39.80|
+