metadata
license: apache-2.0
language:
- en
- ko
model-index:
- name: ARC
results:
- task:
type: natural-language-generation
dataset:
type: huggingface
name: ARC-Challenge(25 shots)
metrics:
- type: acc_norm
value: 53.24
- name: HellaSwag
results:
- task:
type: natural-language-generation
dataset:
type: huggingface
name: HellaSwag(10 shots)
metrics:
- type: acc_norm
value: 78.82
- name: MMLU
results:
- task:
type: natural-language-generation
dataset:
type: huggingface
name: MMLU(5 shots)
metrics:
- type: acc
value: 42.38
- name: TruthfulQA
results:
- task:
type: natural-language-generation
dataset:
type: huggingface
name: TruthfulQA(0 shots)
metrics:
- type: MC2
value: 44.65
Fine-tunned Llama-2 Model with Korean Corpus
This model is a further trained Llama-2 model on the Korean datasets.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 43.71 |
| ARC (25-shot) | 53.24 |
| HellaSwag (10-shot) | 78.78 |
| MMLU (5-shot) | 42.31 |
| TruthfulQA (0-shot) | 44.56 |
| Winogrande (5-shot) | 73.95 |
| GSM8K (5-shot) | 5.99 |
| DROP (3-shot) | 7.11 |