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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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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:**
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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:**
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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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<!-- 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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### Training Procedure
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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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This is a Meltemi-7b-v1 adapter model for a sequence classification task.
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It classifies keypoint-argument pairs as Matching/Non-matching. It was developed in the process of the KeyPoint Matching subtask of the [Key Point Analysis|Quantitative Argument Summarization Shared Task](https://github.com/IBM/KPA_2021_shared_task) as a solution for a low-resource language, Greek.
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The classifier was trained on the official shared task's dataset (ArgKP-2021) in a machine translated version for Greek with madlad-400-3b. For details refer to ArgKP-2021-GR dataset.
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## Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** https://huggingface.co/Kleo
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- **Shared by [optional]:** https://huggingface.co/Kleo
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- **Model type:** adapter
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- **Language(s) (NLP):** el/GR
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- **License:** Apache license 2.0
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- **Finetuned from model [optional]:** [ilsp/Meltemi-7B-v1](https://huggingface.co/ilsp/Meltemi-7B-v1)
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/Kleo-Karap/KPA_thesis
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- **Paper [optional]:** [More Information Needed]
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## Uses
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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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[ArgKP_2021_GR]](https://huggingface.co/datasets/Kleo/ArgKP_2021_GR)
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### Training Procedure
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