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--- |
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library_name: transformers |
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tags: [sentiment-analysis, multilingual, lora, xlm-roberta, peft] |
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--- |
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# Trilingual Sentiment LoRA Model |
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## Model Summary |
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Trilingual Sentiment LoRA is a fine-tuned XLM-RoBERTa model optimized for multilingual sentiment classification across **Arabic**, **English**, and **Spanish** texts. |
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It applies **Low-Rank Adaptation (LoRA)** using the **PEFT framework**, enabling efficient fine-tuning while maintaining robust multilingual understanding. |
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## Model Details |
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- **Developed by:** Osama Naguib |
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- **Funded by:** Ahmed Zaky |
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- **Model Type:** Sequence Classification |
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- **Languages:** Arabic, English, Spanish |
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- **License:** MIT |
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- **Finetuned From:** xlm-roberta-base |
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- **Frameworks:** Transformers, Datasets, PEFT, PyTorch |
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## Model Sources |
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- **Repository:** https://huggingface.co/osamanaguib/trilingual-sentiment-lora |
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- **Base Model:** https://huggingface.co/xlm-roberta-base |
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## Intended Uses |
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### Direct Use |
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This model can be used directly for sentiment classification on multilingual (EN/ES/AR) text data. |
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Example labels: |
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- 0 → Negative |
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- 1 → Neutral |
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- 2 → Positive |
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Example use: |
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library_name: transformers |
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tags: [sentiment-analysis, multilingual, lora, xlm-roberta, peft] |
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--- |
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|
|
|
|
# Trilingual Sentiment LoRA Model |
|
|
|
|
|
## Model Summary |
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|
Trilingual Sentiment LoRA is a fine-tuned XLM-RoBERTa model optimized for multilingual sentiment classification across **Arabic**, **English**, and **Spanish** texts. |
|
|
It applies **Low-Rank Adaptation (LoRA)** using the **PEFT framework**, enabling efficient fine-tuning while maintaining robust multilingual understanding. |
|
|
|
|
|
## Model Details |
|
|
|
|
|
- **Developed by:** Osama Naguib |
|
|
- **Funded by:** Ahmed Zaky |
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|
- **Model Type:** Sequence Classification |
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|
- **Languages:** Arabic, English, Spanish |
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- **License:** MIT |
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- **Finetuned From:** xlm-roberta-base |
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- **Frameworks:** Transformers, Datasets, PEFT, PyTorch |
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## Model Sources |
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- **Repository:** https://huggingface.co/osamanaguib/trilingual-sentiment-lora |
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- **Base Model:** https://huggingface.co/xlm-roberta-base |
|
|
|
|
|
## Intended Uses |
|
|
|
|
|
### Direct Use |
|
|
This model can be used directly for sentiment classification on multilingual (EN/ES/AR) text data. |
|
|
|
|
|
Example labels: |
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|
- 0 → Negative |
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|
- 1 → Neutral |
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- 2 → Positive |
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Example use: |
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