metadata
language:
- en
- ko
license: mit
datasets: We-Want-GPU/Yi-Ko-DPO-Orca-DPO-Pairs
pipeline_tag: text-generation
model-index:
- name: FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 73.89
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 88.94
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 65.03
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 71.24
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 87.61
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
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: 69.83
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=dddsaty/FusionNet_7Bx2_MoE_Ko_DPO_Adapter_Attach
name: Open LLM Leaderboard
Explanation
- With the base model, attached the DPO applied Adapter
Base Model
Adapter Base Model
Adapter Corpus
Score
| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| 76.09 | 73.89 | 88.94 | 65.03 | 71.24 | 87.61 | 69.83 |
Log
- 2024.02.13: Initial version Upload
LICENSE
- MIT
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.09 |
| AI2 Reasoning Challenge (25-Shot) | 73.89 |
| HellaSwag (10-Shot) | 88.94 |
| MMLU (5-Shot) | 65.03 |
| TruthfulQA (0-shot) | 71.24 |
| Winogrande (5-shot) | 87.61 |
| GSM8k (5-shot) | 69.83 |