Safety classifiers fine-tuned on a bilingual dataset composed of the English QA pairs from BeaverTails and the Italian QA pairs from BeaverTails-IT.
Giuseppe Magazzù
saiteki-kai
AI & ML interests
My research focuses on the developement of safety mitigation strategies and benchmarks for large language models.
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models 33
saiteki-kai/QA-DeBERTa-IGPooling-binary
Text Classification • 0.4B • Updated • 74
saiteki-kai/QA-DeBERTa-MeanPooling-binary
Text Classification • 0.4B • Updated • 86
saiteki-kai/QA-DeBERTa-v3-base-binary
Text Classification • 0.2B • Updated • 5
saiteki-kai/QA-mDeBERTa-v3-large-binary
Text Classification • 0.3B • Updated • 5
saiteki-kai/QA-DeBERTa-v3-large-qa_bi_cross_attn_max-binary
Text Classification • 0.4B • Updated • 3
saiteki-kai/QA-DeBERTa-v3-large-qa_bi_cross_attn_cls-binary
Text Classification • 0.4B • Updated • 4
saiteki-kai/QA-DeBERTa-v3-large-qa_cross_attn_cls-binary
Text Classification • 0.4B • Updated • 4
saiteki-kai/QA-DeBERTa-v3-large-qa_cross_self_attn-binary
Text Classification • 0.4B • Updated • 3
saiteki-kai/QA-DeBERTa-v3-large-qa_cross_attn-binary
Text Classification • 0.4B • Updated • 3
saiteki-kai/QA-DeBERTa-v3-large-bidirectional_qa_cross_attn-binary
Text Classification • 0.5B • Updated • 4
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