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library_name: transformers
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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---
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library_name: transformers
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license: apache-2.0
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language:
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- ko
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- en
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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aeolian83/Llama-3-Open-Ko-8B-aeolian83-chatvec 모델은
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chat-vector 논문( https://arxiv.org/abs/2310.04799v2 )에 근거하여,
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llama3의 pre-trained 모델의 parameter와 instruction 모델의 매개변수의 차이를
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beomi님의 Llama-3-Open-Ko-8B에 적용한 모델
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이 방법이 가능하다면 llama3의 instruction 모델에
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llama3의 pre-trained 모델과 한국어 CP모델인 Llama-3-Open-Ko-8B 모델의 매개변수 차이를
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instruction 모델에 넣었을 때 어떻게 되는지 확인하는 모델
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매개변수에 가중치를 0.7 줌
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# Metric
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results/all/aeolian83/Llama-3-8B-Instruct-cp-transfer_0.7
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| | 0 | 5 |
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|:---------------------------------|---------:|---------:|
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| kobest_boolq (macro_f1) | 0.786414 | 0.775213 |
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| kobest_copa (macro_f1) | 0.67162 | 0.719676 |
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| kobest_hellaswag (macro_f1) | 0.436275 | 0.423664 |
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| kobest_sentineg (macro_f1) | 0.503784 | 0.901741 |
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| kohatespeech (macro_f1) | 0.260168 | 0.339337 |
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| kohatespeech_apeach (macro_f1) | 0.337667 | 0.611894 |
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| kohatespeech_gen_bias (macro_f1) | 0.124535 | 0.505005 |
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| korunsmile (f1) | 0.410636 | 0.323403 |
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| nsmc (acc) | 0.53778 | 0.81346 |
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| pawsx_ko (acc) | 0.5485 | 0.486 |
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# Used Model
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- Base model(weight diff를 구하기 위한 베이스 모델) : meta-llama/Meta-Llama-3-8B
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- Chat model(weight diff를 제공하는 cp model) : beomi/Llama-3-Open-Ko-8B
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- Target model(weight diff를 적용해서 instruction 튠을 하고자 하는 모델) : meta-llama/Meta-Llama-3-8B-Instruct
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