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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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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a ๐ค 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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### Downstream Use [optional]
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###
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[More Information Needed]
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## Bias, Risks, and Limitations
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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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#### 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 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: llama3.1
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language:
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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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| 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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- ์์ธํธ
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- ๊น๋ฏผ์ค
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