Model Details
axolotl๋ฅผ ์ด์ฉํ์ฌ ๊ณต๊ฐ/์์ฒด์ ์ผ๋ก ์์ฑ๋ ํ๊ตญ์ด, ์์ด ๋ฐ์ดํฐ์ ์ผ๋ก ํ์ธํ๋ํ์์ต๋๋ค.
Model Description
Socre
llm_kr_eval
ํ๊ฐ ์งํ | ์ ์ |
---|---|
AVG_llm_ok_eval | 0.4282 |
EL (Easy Language) | 0.1264 |
FA (False Alarm) | 0.2184 |
NLI (Natural Language Understanding) | 0.5767 |
QA (Question Answering) | 0.5100 |
RC (Reconstruction) | 0.7096 |
klue_ner_set_f1 (Klue Named Entity Recognition F1 Score) | 0.1429 |
klue_re_exact_match (Klue Reference Exact Match) | 0.1100 |
kmmlu_preview_exact_match (Kmmlu Preview Exact Match) | 0.4400 |
kobest_copa_exact_match (Kobest COPA Exact Match) | 0.8100 |
kobest_hs_exact_match (Kobest HS Exact Match) | 0.3800 |
kobest_sn_exact_match (Kobest SN Exact Match) | 0.9000 |
kobest_wic_exact_match (Kobest WIC Exact Match) | 0.5800 |
korea_cg_bleu (Korean CG BLEU) | 0.2184 |
kornli_exact_match (KornLI Exact Match) | 0.5400 |
korsts_pearson (KorSTS Pearson Correlation Coefficient) | 0.6225 |
korsts_spearman (KorSTS Spearman Rank Correlation Coefficient) | 0.6064 |
LogicKor
์นดํ ๊ณ ๋ฆฌ | ์ฑ๊ธ ์ ์ ํ๊ท | ๋ฉํฐ ์ ์ ํ๊ท |
---|---|---|
์ํ(Math) | 4.43 | 3.71 |
์ดํด(Understanding) | 9.29 | 6.86 |
์ถ๋ก (Reasoning) | 5.71 | 5.00 |
๊ธ์ฐ๊ธฐ(Writing) | 7.86 | 7.43 |
์ฝ๋ฉ(Coding) | 7.86 | 6.86 |
๋ฌธ๋ฒ(Grammar) | 6.86 | 3.86 |
์ ์ฒด ์ฑ๊ธ ์ ์ ํ๊ท | 7.00 | - |
์ ์ฒด ๋ฉํฐ ์ ์ ํ๊ท | - | 5.62 |
์ ์ฒด ์ ์ | - | 6.31 |
Built with Meta Llama 3
License Llama3 License: https://llama.meta.com/llama3/license
Applications
This fine-tuned model is particularly suited for [mention applications, e.g., chatbots, question-answering systems, etc.]. Its enhanced capabilities ensure more accurate and contextually appropriate responses in these domains.
Limitations and Considerations
While our fine-tuning process has optimized the model for specific tasks, it's important to acknowledge potential limitations. The model's performance can still vary based on the complexity of the task and the specificities of the input data. Users are encouraged to evaluate the model thoroughly in their specific context to ensure it meets their requirements.
If you liked this model, please use the card below
@article{Llama3KoCarrot8Bit,
title={CarrotAI/Llama3-Ko-Carrot-8B-it Card},
author={CarrotAI (L, GEUN)},
year={2024},
url = {https://huggingface.co./CarrotAI/Llama3-Ko-Carrot-8B-it/}
}
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