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---
license: mit
model-index:
- name: openhermes_dpo_norobot_0201
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=jae24/openhermes_dpo_norobot_0201
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: 83.4
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jae24/openhermes_dpo_norobot_0201
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: 62.4
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jae24/openhermes_dpo_norobot_0201
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: 47.44
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jae24/openhermes_dpo_norobot_0201
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: 78.22
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jae24/openhermes_dpo_norobot_0201
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: 49.2
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jae24/openhermes_dpo_norobot_0201
name: Open LLM Leaderboard
---
This variant of the model has undergone reinforcement learning (RL) fine-tuning and is based on teknium/OpenHermes-2.5-Mistral-7B. The fine-tuning process utilized a preference dataset derived from HuggingFace's no robots dataset, incorporating Differential Privacy Optimization (DPO) techniques.
# [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_jae24__openhermes_dpo_norobot_0201)
| Metric |Value|
|---------------------------------|----:|
|Avg. |63.78|
|AI2 Reasoning Challenge (25-Shot)|62.03|
|HellaSwag (10-Shot) |83.40|
|MMLU (5-Shot) |62.40|
|TruthfulQA (0-shot) |47.44|
|Winogrande (5-shot) |78.22|
|GSM8k (5-shot) |49.20|
|