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Supplementary Materials: EmbeddingGemma Vs XLM-R for English-Indonesian Toxic Text Classification

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Zenodo2026-05-02 更新2026-05-26 收录
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资源简介:

This repository contains the extended experimental environment specifications, latency evaluation results across multiple batch sizes and each model's best params for the paper titled EmbeddingGemma Vs XLM-R for English-Indonesian Toxic Text Classification, submitted to ICADEIS 2026.

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Zenodo
创建时间:
2026-05-02
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