{"id":296,"date":"2021-06-22T06:00:00","date_gmt":"2021-06-21T21:00:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=296"},"modified":"2021-06-22T06:00:00","modified_gmt":"2021-06-21T21:00:00","slug":"bitfitbias-terms-fine-tuning-bert%e3%81%ae%e3%81%94%e3%81%8f%e4%b8%80%e9%83%a8%e3%81%aefine-tuning","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=296","title":{"rendered":"BitFit(Bias-terms Fine-tuning ): BERT\u306e\u3054\u304f\u4e00\u90e8\u306efine tuning"},"content":{"rendered":"\n<ul class=\"wp-block-list\"><li><strong>BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models&nbsp;<\/strong>[51.5]<br>\u6211\u3005\u306f\u3001\u4e8b\u524d\u8a13\u7df4\u3055\u308c\u305fBERT\u30e2\u30c7\u30eb\u306e\u30d0\u30a4\u30a2\u30b9\u9805(\u307e\u305f\u306f\u30d0\u30a4\u30a2\u30b9\u9805\u306e\u30b5\u30d6\u30bb\u30c3\u30c8)\u306e\u307f\u3092\u5fae\u8abf\u6574\u3059\u308b\u3053\u3068\u306f\u3001\u30e2\u30c7\u30eb\u5168\u4f53\u3092\u5fae\u8abf\u6574\u3059\u308b(\u305d\u3057\u3066\u3001\u6642\u306b\u306f\u305d\u308c\u3088\u308a\u3082\u512a\u308c\u3066\u3044\u308b)\u3053\u3068\u3092\u793a\u3059\u3002 \u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u65b0\u3057\u3044\u30bf\u30b9\u30af\u56fa\u6709\u306e\u8a00\u8a9e\u77e5\u8b58\u3092\u5b66\u3076\u306e\u3067\u306f\u306a\u304f\u3001\u8a00\u8a9e\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u8a13\u7df4\u306b\u3088\u3063\u3066\u5f15\u304d\u8d77\u3053\u3055\u308c\u308b\u77e5\u8b58\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3068\u3044\u3046\u4eee\u8aac\u3092\u652f\u6301\u3057\u3066\u3044\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2106.10199v1\">\u8ad6\u6587<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2106.10199v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>&nbsp;&nbsp;<a href=\"https:\/\/fugumt.com\/fugumt\/paper\/translated\/2106.10199.pdf.html\">\u53c2\u8003\u8a33\uff08\u5168\u6587\uff09<\/a>&nbsp;&nbsp;(Fri, 18 Jun 2021 16:09:21 GMT)<ul><li>\u30d0\u30a4\u30a2\u30b9\u9805\u3068\u30bf\u30b9\u30af\u56fa\u6709\u306e\u5206\u985e\u5c64\u306e\u307f\u3001BERT\u306e\u6975\u4e00\u90e8\uff080.1%\u4ee5\u4e0b\uff09\u3092\u5909\u66f4\u5bfe\u8c61\u3068\u3057\u3066\u3082\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u5341\u5206\u306a\u6027\u80fd\u3092\u51fa\u3059fine tuning\u304c\u53ef\u80fd\u3068\u3044\u3046\u5831\u544a\u3002\u51e6\u7406\u306e\u52b9\u7387\u5316\u3068\u3044\u3046\u70b9\u3067\u3082\u91cd\u8981\u306a\u3082\u306e\u3060\u304c\u3001\u3053\u306e\u7a0b\u5ea6\u306e\u5909\u66f4\u3067\u69d8\u3005\u306a\u30bf\u30b9\u30af\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u306e\u306f\u76f4\u611f\u306b\u53cd\u3057\u3066\u304a\u308a\u975e\u5e38\u306b\u8208\u5473\u6df1\u3044\u3002<\/li><\/ul><\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models&nbsp;[51.5]\u6211\u3005\u306f\u3001\u4e8b\u524d\u8a13 &hellip; <a href=\"https:\/\/devneko.jp\/wordpress\/?p=296\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;BitFit(Bias-terms Fine-tuning ): BERT\u306e\u3054\u304f\u4e00\u90e8\u306efine tuning&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[46,150,506],"class_list":["post-296","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-bert","tag-fine-tuning","tag-506"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/296","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=296"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/296\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=296"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=296"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=296"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}