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README.md
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license: cc-by-nc-4.0
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This is the small version (274MB) of the summarization model for the Spanish language presented in the SEMANTiCS 2022 conference. This model was created in less than 1 hour (using a single GPU, specifically an NVIDIA v100 16GB) from the multilingual T5 model using the XL-Sum dataset. It achieves a ROUGE-1 value of 22.21 (mT5 achieves 26.21 after a 96h training using 4 GPUs), ROUGE-2 5.28 (mT5 achieves 8.21), and ROUGE-l 17.44 (mT5 achieves 21.06).
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license: cc-by-nc-4.0
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This is the small version (274MB) of the summarization model for the Spanish language presented in the SEMANTiCS 2022 conference (paper entitled "esT5s: A Spanish Model for Text Summarization"). This model was created in less than 1 hour (using a single GPU, specifically an NVIDIA v100 16GB) from the multilingual T5 model using the XL-Sum dataset. It achieves a ROUGE-1 value of 22.21 (mT5 achieves 26.21 after a 96h training using 4 GPUs), ROUGE-2 5.28 (mT5 achieves 8.21), and ROUGE-l 17.44 (mT5 achieves 21.06).
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