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---
license: apache-2.0
model-index:
- name: SOLAR_KO_1.3_deup
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: 55.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
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: 79.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
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: 55.88
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
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: 47.55
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
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: 76.87
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
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: 22.59
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/SOLAR_KO_1.3_deup
name: Open LLM Leaderboard
---
## Model
base_model : beomi/OPEN-SOLAR-KO-10.7B
## Dataset
* 공개 데이터 수집
* Deduplicating Training Data Makes Language Models Better 알고리즘 활용
## Code
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_name = "jingyeom/SOLAR_KO_1.3_deup"
model = AutoModelForCausalLM.from_pretrained(
model_name,
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
```
## Benchmark
**[Ko-LLM-Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard)**
(24.01.29 기준 리더보드 11등)
| Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
| ------: | -----: | -----------: | ------: | ------------: | --------------: |
| 53.63 | 52.65 | 60.92 | 50.9 | 45.14 | 58.56 |
# [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_jingyeom__SOLAR_KO_1.3_deup)
| Metric |Value|
|---------------------------------|----:|
|Avg. |56.47|
|AI2 Reasoning Challenge (25-Shot)|55.97|
|HellaSwag (10-Shot) |79.97|
|MMLU (5-Shot) |55.88|
|TruthfulQA (0-shot) |47.55|
|Winogrande (5-shot) |76.87|
|GSM8k (5-shot) |22.59|
|