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---
language:
- en
license: apache-2.0
datasets:
- Intel/orca_dpo_pairs
model-index:
- name: DPO_mistral_7b_alpaca_0124_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: 63.4
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_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: 73.2
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_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: 60.51
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_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: 66.76
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_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: 77.19
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_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: 25.85
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kwchoi/DPO_mistral_7b_alpaca_0124_v1
name: Open LLM Leaderboard
---
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performanceTesting Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
Testing Mistral-Instruct model with Orca DPO dataset.
Trying to see the effects of DPO for own study.
Used Mistral-7B-Instrcut-v0.2 model due to its good performance
# [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_kwchoi__DPO_mistral_7b_alpaca_0124_v1)
| Metric |Value|
|---------------------------------|----:|
|Avg. |61.15|
|AI2 Reasoning Challenge (25-Shot)|63.40|
|HellaSwag (10-Shot) |73.20|
|MMLU (5-Shot) |60.51|
|TruthfulQA (0-shot) |66.76|
|Winogrande (5-shot) |77.19|
|GSM8k (5-shot) |25.85|
|