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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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#
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the xlsum dataset.
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## Model description
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**pegasus_xlsum** is a state-of-the-art model fine-tuned on the **English** subset of the **csebuetnlp/xlsum** dataset. This data source is one of the most comprehensive and diverse sets available, originally composed of **1.35 million** professional article-summary pairs sourced from BBC across 45 languages. Despite its multilingual nature, we intentionally selected the **English** language subset, consisting of approximately **330,000** records, as the focus for our fine-tuning process.
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The goal was to adapt the model for the text summarization task, and we're thrilled to report that the fine-tuned **pegasus_xlsum** model exceeded our expectations. It outperformed the established **csebuetnlp/mT5_multilingual_XLSum** model in terms of **ROUGE** scores, demonstrating superior summary generation capabilities. The **pegasus_xlsum** model leverages the powerful PEGASUS architecture, proving its efficiency and effectiveness in handling **English** text summarization tasks.
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## Intended uses & limitations
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegsasus_xlsum
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This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the xlsum dataset.
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## Model description
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**pegasus_xlsum** is a state-of-the-art model fine-tuned on the **English** subset of the [**csebuetnlp/xlsum**](https://huggingface.co/datasets/csebuetnlp/xlsum) dataset. This data source is one of the most comprehensive and diverse sets available, originally composed of **1.35 million** professional article-summary pairs sourced from BBC across 45 languages. Despite its multilingual nature, we intentionally selected the **English** language subset, consisting of approximately **330,000** records, as the focus for our fine-tuning process.
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The goal was to adapt the model for the text summarization task, and we're thrilled to report that the fine-tuned **pegasus_xlsum** model exceeded our expectations. It outperformed the established [**csebuetnlp/mT5_multilingual_XLSum**](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) model in terms of [**ROUGE**](https://huggingface.co/spaces/evaluate-metric/rouge) scores, demonstrating superior summary generation capabilities. The **pegasus_xlsum** model leverages the powerful PEGASUS architecture, proving its efficiency and effectiveness in handling **English** text summarization tasks.
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## Intended uses & limitations
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