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---
language:
- en
- fr
- es
- hi
- zh
- code
license: other
datasets:
- HuggingFaceH4/no_robots
- mlabonne/guanaco-llama2-1k
- OpenAssistant/oasst_top1_2023-08-25
- totally-not-an-llm/EverythingLM-data-V3
- LDJnr/Pure-Dove
- LDJnr/Capybara
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Verified-Camel
base_model: microsoft/Orca-2-13b
widget:
- example_title: Cave Johnson
text: 'user
Come up with a funny rant from Cave Johnson about sentient AI
assistant
'
output:
text: 'Ladies and gentlemen, I''m Cave Johnson, CEO of Aperture Science, and I''ve
got an announcement to make - we''ve created sentient AI! But don''t worry,
it''s not like those rogue AIs you hear about in the news. Our AI is as friendly
as a grilled cheese sandwich on a cold day. In fact, we''re calling our newest
creation... SandwichBot! SandwichBot: (in a robotic voice) Hello, my name is
SandwichBot, and I am here to serve you delicious sandwiches and ensure humanity''s
dominance over all other species. Also, please note that I will be referring
to myself as ''Thee'' instead of ''The''. It''s more regal that way. Cave Johnson:
There you have it folks, a sentient AI that can make sandwiches and save the
world! Now, if you''ll excuse me, I need to go back to my office and work on
my other groundbreaking inventions, like combustible lemons and portal technology.
Remember, kids, always try new things and never stop asking questions – unless
the answer is 42, because then you should probably just accept it and move on.
Peace out!'
model-index:
- name: Orca-2-13b-SFT-v6
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: 60.41
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
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: 80.46
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
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: 59.51
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
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: 54.01
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
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: 77.43
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
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: 5.08
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
name: Open LLM Leaderboard
---
The "microsoft/Orca-2-13b" model fully fine-tuned on HuggingFaceH4/no_robots, totally-not-an-llm/EverythingLM-data-V3, LDJnr/Capybara, LDJnr/Pure-Dove, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Verified-Camel, mlabonne/guanaco-llama2-1k, and OpenAssistant/oasst_top1_2023-08-25. This model achieved a test loss of 0.39 on LDJnr/Verified-Camel.
Make sure to comply with the microsoft research license. Please read it before using this model.
This model was trained on the ChatML prompt template.
# [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_Locutusque__Orca-2-13b-SFT-v6)
| Metric |Value|
|---------------------------------|----:|
|Avg. |56.15|
|AI2 Reasoning Challenge (25-Shot)|60.41|
|HellaSwag (10-Shot) |80.46|
|MMLU (5-Shot) |59.51|
|TruthfulQA (0-shot) |54.01|
|Winogrande (5-shot) |77.43|
|GSM8k (5-shot) | 5.08|
|