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The mT5-multilingual-XLSum model was fine-tuned on the UA-News dataset to generate concise and accurate news headlines in Ukrainian language.
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## Training
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- **Fine-Tuning**: The model was fine-tuned on the UA-News dataset using the Hugging Face Transformers library.
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- **Epochs**: 4
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- **Batch Size**: 4
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- **Learning Rate**: 4e-5
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The mT5-multilingual-XLSum model was fine-tuned on the UA-News dataset to generate concise and accurate news headlines in Ukrainian language.
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## Training
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- **Epochs**: 4
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- **Batch Size**: 4
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- **Learning Rate**: 4e-5
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