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---
license: apache-2.0
model-index:
- name: Llama2-7b-openorca-mc-v2
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: 55.55
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
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: 81.26
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
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: 48.3
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
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: 51.49
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
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: 72.85
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
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: 5.38
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beaugogh/Llama2-7b-openorca-mc-v2
name: Open LLM Leaderboard
---
Llama2-7b finetuned on a 10k subset of OpenOrca focusing on multiple choice questions + 6k ShareGPT4 datasets.
# [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_beaugogh__Llama2-7b-openorca-mc-v2)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 45.88 |
| ARC (25-shot) | 55.55 |
| HellaSwag (10-shot) | 81.26 |
| MMLU (5-shot) | 48.3 |
| TruthfulQA (0-shot) | 51.49 |
| Winogrande (5-shot) | 72.85 |
| GSM8K (5-shot) | 5.38 |
| DROP (3-shot) | 6.32 |
# [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_beaugogh__Llama2-7b-openorca-mc-v2)
| Metric |Value|
|---------------------------------|----:|
|Avg. |52.47|
|AI2 Reasoning Challenge (25-Shot)|55.55|
|HellaSwag (10-Shot) |81.26|
|MMLU (5-Shot) |48.30|
|TruthfulQA (0-shot) |51.49|
|Winogrande (5-shot) |72.85|
|GSM8k (5-shot) | 5.38|
|