README.md

---
license: apache-2.0
model-index:
- name: KoSoLAR-10.7B-v0.2_1.3_dedup_p
  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: 63.05
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      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: 83.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      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: 64.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      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: 52.69
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      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: 80.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      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: 48.07
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p
      name: Open LLM Leaderboard
---
## Model
base_model : yanolja/KoSOLAR-10.7B-v0.2
## 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/KoSoLAR-10.7B-v0.2_1.3_dedup"
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)**

# [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__KoSoLAR-10.7B-v0.2_1.3_dedup_p)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |65.43|
|AI2 Reasoning Challenge (25-Shot)|63.05|
|HellaSwag (10-Shot)              |83.63|
|MMLU (5-Shot)                    |64.61|
|TruthfulQA (0-shot)              |52.69|
|Winogrande (5-shot)              |80.51|
|GSM8k (5-shot)                   |48.07|