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  ---
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  library_name: transformers
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- tags:
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- - translation
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  license: llama3.1
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  language:
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  - ko
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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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  ## Model Details
 
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a ๐Ÿค— transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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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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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
 
 
 
 
 
 
 
 
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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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- #### 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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- #### Hardware
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- #### Software
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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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- ## 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 [optional]
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- ## Model Card Authors [optional]
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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: llama3.1
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  language:
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  - ko
 
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  # Model Card for Model ID
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+ This model is a multilingual translation model fine-tuned on LLaMA 3.1 Instruct base model. It enables mutual translation between the following Southeast Asian languages:
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+ - Korean
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+ - Vietnamese
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+ - Indonesian
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+ - Khmer
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+ - Thai
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  ## Model Details
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+ The model is designed for translating short text segments between any pair of the supported languages.
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+ Supported language pairs:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ - Korean โ†” Vietnamese
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+ - Korean โ†” Indonesian
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+ - Korean โ†” Khmer
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+ - Korean โ†” Thai
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+ - Vietnamese โ†” Indonesian
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+ - Vietnamese โ†” Khmer
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+ - Vietnamese โ†” Thai
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+ - Indonesian โ†” Khmer
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+ - Indonesian โ†” Thai
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+ - Khmer โ†” Thai
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+ ### Model Description
 
 
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+ This model is specifically optimized for Southeast Asian language translation needs, focusing on enabling communication between these specific language communities.
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+ The extensive training data of 20M examples (1M for each translation direction) provides a robust foundation for handling common expressions and basic conversations across these languages.
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+ ### Model Architecture
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+ Base Model: meta-llama/Llama-3.1-8B-Instruct
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  ## Bias, Risks, and Limitations
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+ - Performance is limited to short sentences and phrases
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+ - May not handle complex or lengthy text effectively
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+ - Translation quality may vary depending on language pair and content complexity
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+ ## Evaluation results
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+ | Source Language | Target Language | BLEU Score | ROUGE-1 | ROUGE-L |
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+ |----------------|-----------------|------------|---------|---------|
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+ | Korean | Vietnamese | 56.70 | 81.64 | 76.66 |
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+ | Korean | Cambodian | 71.69 | 89.26 | 88.20 |
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+ | Korean | Indonesian | 58.32 | 80.39 | 76.63 |
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+ | Korean | Thai | 63.26 | 78.88 | 72.29 |
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+ | Vietnamese | Korean | 49.01 | 75.57 | 72.74 |
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+ | Vietnamese | Cambodian | 78.26 | 90.74 | 90.32 |
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+ | Vietnamese | Indonesian | 65.96 | 83.08 | 81.46 |
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+ | Vietnamese | Thai | 65.93 | 81.09 | 76.57 |
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+ | Cambodian | Korean | 49.10 | 72.67 | 69.75 |
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+ | Cambodian | Vietnamese | 63.42 | 81.56 | 79.09 |
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+ | Cambodian | Indonesian | 61.41 | 79.67 | 77.75 |
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+ | Cambodian | Thai | 70.91 | 81.85 | 77.66 |
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+ | Indonesian | Korean | 53.61 | 77.14 | 74.29 |
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+ | Indonesian | Vietnamese | 68.21 | 85.41 | 83.10 |
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+ | Indonesian | Cambodian | 78.84 | 90.81 | 90.35 |
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+ | Indonesian | Thai | 67.12 | 81.54 | 77.19 |
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+ | Thai | Korean | 45.59 | 72.48 | 69.46 |
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+ | Thai | Vietnamese | 61.55 | 81.01 | 78.24 |
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+ | Thai | Cambodian | 78.52 | 91.47 | 91.16 |
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+ | Thai | Indonesian | 58.99 | 78.56 | 76.40 |
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+ ## Contributor
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+ - ์›์ธํ˜ธ
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+ - ๊น€๋ฏผ์ค€
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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