README.md

---
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|