{"id":116347,"date":"2026-10-21T07:56:59","date_gmt":"2026-10-20T23:56:59","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/116347.html"},"modified":"2026-10-21T07:56:59","modified_gmt":"2026-10-20T23:56:59","slug":"d39-%e8%ae%ad%e7%bb%83%e7%9b%91%e6%8e%a7%e4%b8%8e%e5%8f%af%e8%a7%86%e5%8c%96%ef%bc%9aloss-%e6%9b%b2%e7%ba%bf-gpu-%e7%9b%91%e6%8e%a7-%e6%97%a9%e5%81%9c-checkpoint-%e7%ae%a1%e7%90%86","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/116347.html","title":{"rendered":"D39-\u8bad\u7ec3\u76d1\u63a7\u4e0e\u53ef\u89c6\u5316\uff1aLoss \u66f2\u7ebf + GPU \u76d1\u63a7 + \u65e9\u505c + checkpoint \u7ba1\u7406"},"content":{"rendered":"<\/p>\n<h4>\u6587\u7ae0\u76ee\u5f55<\/h4>\n<ul>\n<li>D39-\u8bad\u7ec3\u76d1\u63a7\u4e0e\u53ef\u89c6\u5316\uff1aLoss \u66f2\u7ebf + GPU \u76d1\u63a7 + \u65e9\u505c + checkpoint \u7ba1\u7406<\/li>\n<li>\n<ul>\n<li>\u4e00\u3001\u4e3a\u4ec0\u4e48\u8bad\u7ec3\u76d1\u63a7\u662f\u5fae\u8c03\u7684\\&#8221;X \u5149\u673a\\&#8221;<\/li>\n<li>\n<ul>\n<li>1.1 \u4e00\u4e2a\u771f\u5b9e\u6545\u4e8b<\/li>\n<li>1.2 \u76d1\u63a7\u7684 3 \u4e2a\u6838\u5fc3\u76ee\u6807<\/li>\n<\/ul>\n<\/li>\n<li>\u4e8c\u30014 \u4e2a\u6838\u5fc3\u76d1\u63a7\u6307\u6807<\/li>\n<li>\n<ul>\n<li>2.1 Loss\uff08\u8bad\u7ec3\u635f\u5931\uff09<\/li>\n<li>2.2 Learning Rate\uff08\u5b66\u4e60\u7387\uff09<\/li>\n<li>2.3 Gradient\uff08\u68af\u5ea6\uff09<\/li>\n<li>2.4 GPU \u5229\u7528\u7387<\/li>\n<\/ul>\n<\/li>\n<li>\u4e09\u30015 \u79cd Loss \u5f02\u5e38 + 4 \u79cd\u6b63\u5e38<\/li>\n<li>\n<ul>\n<li>3.1 5 \u79cd\u5f02\u5e38 + \u89e3\u51b3\u65b9\u6848<\/li>\n<li>3.2 4 \u79cd\u6b63\u5e38 Loss \u66f2\u7ebf<\/li>\n<\/ul>\n<\/li>\n<li>\u56db\u3001GPU \u76d1\u63a7\u5b9e\u6218<\/li>\n<li>\n<ul>\n<li>4.1 \u7528 nvidia-smi \u5b9e\u65f6\u76d1\u63a7<\/li>\n<li>4.2 Python \u7aef\u96c6\u6210\uff08\u53ef\u653e\u5165\u8bad\u7ec3\u811a\u672c\uff09<\/li>\n<\/ul>\n<\/li>\n<li>\u4e94\u3001\u65e9\u505c\u7b56\u7565\uff08Early Stopping\uff09<\/li>\n<li>\n<ul>\n<li>5.1 \u65e9\u505c\u7684 3 \u4e2a\u6838\u5fc3\u53c2\u6570<\/li>\n<li>5.2 \u65e9\u505c\u903b\u8f91<\/li>\n<li>5.3 Hugging Face Trainer \u5185\u7f6e\u65e9\u505c<\/li>\n<li>5.4 \u5b9e\u6218\u5efa\u8bae<\/li>\n<\/ul>\n<\/li>\n<li>\u516d\u3001Checkpoint \u7ba1\u7406<\/li>\n<li>\n<ul>\n<li>6.1 3 \u4e2a\u4fdd\u5b58\u7b56\u7565<\/li>\n<li>6.2 \u9650\u5236\u78c1\u76d8\u5360\u7528<\/li>\n<li>6.3 Checkpoint \u6062\u590d\u8bad\u7ec3<\/li>\n<li>6.4 Best Checkpoint \u81ea\u52a8\u52a0\u8f7d<\/li>\n<li>6.5 Checkpoint \u6e05\u7406\u811a\u672c<\/li>\n<\/ul>\n<\/li>\n<li>\u4e03\u3001Wandb \/ TensorBoard \u96c6\u6210<\/li>\n<li>\n<ul>\n<li>7.1 Wandb\uff08\u63a8\u8350\uff0c\u4e91\u7aef\u53ef\u89c6\u5316\uff09<\/li>\n<li>7.2 TensorBoard\uff08\u672c\u5730\u53ef\u89c6\u5316\uff09<\/li>\n<li>7.3 \u81ea\u5b9a\u4e49\u6307\u6807\uff08Callback\uff09<\/li>\n<\/ul>\n<\/li>\n<li>\u516b\u30014 \u4e2a\u751f\u4ea7\u7ea7\u76d1\u63a7\u544a\u8b66<\/li>\n<li>\n<ul>\n<li>8.1 \u544a\u8b66 1\uff1aLoss NaN \u7acb\u5373\u505c\u6b62<\/li>\n<li>8.2 \u544a\u8b66 2\uff1aGPU \u663e\u5b58 99% \u6301\u7eed\u544a\u8b66<\/li>\n<li>8.3 \u544a\u8b66 3\uff1aLoss \u4e0d\u4e0b\u964d 5 \u4e2a epoch<\/li>\n<li>8.4 \u544a\u8b66 4\uff1a\u8bad\u7ec3\u901f\u5ea6\u8fc7\u6162<\/li>\n<\/ul>\n<\/li>\n<li>\u4e5d\u3001Key Takeaways<\/li>\n<li>\u5341\u3001\u601d\u8003\u9898<\/li>\n<li>\u5341\u4e00\u3001\u4e0b\u7bc7\u9884\u544a<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>D39-\u8bad\u7ec3\u76d1\u63a7\u4e0e\u53ef\u89c6\u5316\uff1aLoss \u66f2\u7ebf + GPU \u76d1\u63a7 + \u65e9\u505c + checkpoint \u7ba1\u7406<\/h2>\n<p>\u300c60 \u5929 AI \u5168\u6808\u8f6c\u578b\u300dS3 \u6a21\u578b\u8bad\u7ec3\u4e0e\u5fae\u8c03 \u00b7 \u7b2c 4 \u7bc7 \/ \u5171 15 \u7bc7<\/p>\n<p>\u8bfb\u8005\u753b\u50cf\uff1a\u5df2\u638c\u63e1 LoRA \/ \u5168\u53c2\u5fae\u8c03 + \u6570\u636e\u51c6\u5907\u7684\u5f00\u53d1\u8005<\/p>\n<p>\u9884\u8ba1\u9605\u8bfb\uff1a30 \u5206\u949f \u00b7 \u5b9e\u64cd\uff1a60-90 \u5206\u949f<\/p>\n<hr>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261020235656-6ad7ffc8af5db.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"><\/p>\n<h3>\u4e00\u3001\u4e3a\u4ec0\u4e48\u8bad\u7ec3\u76d1\u63a7\u662f\u5fae\u8c03\u7684\\&#8221;X \u5149\u673a\\&#8221;<\/h3>\n<p>D36-D38 \u6211\u4eec\u8bb2\u4e86\u600e\u4e48\u8dd1\u5fae\u8c03\u3001\u600e\u4e48\u9009\u65b9\u6cd5\u3001\u600e\u4e48\u51c6\u5907\u6570\u636e\u3002\u4f46\u771f\u6b63\u51b3\u5b9a\u4f60\u80fd\u4e0d\u80fd\u628a\u8bad\u7ec3\u8dd1\u5b8c\u3001\u8dd1\u597d\u3001\u8dd1\u51fa\u597d\u6a21\u578b\u7684\uff0c\u662f\u76d1\u63a7\u3002<\/p>\n<h4>1.1 \u4e00\u4e2a\u771f\u5b9e\u6545\u4e8b<\/h4>\n<p>\u67d0\u56e2\u961f\u7528 8 \u5f20 A100 \u8bad\u7ec3\u4e00\u4e2a 70B \u6a21\u578b\u3002\u8bad\u7ec3\u5230\u7b2c 3 \u5c0f\u65f6\uff0closs \u7a81\u7136\u4ece 1.5 \u98d9\u5347\u5230 12.0\u3002\u4ed6\u4eec\u6ca1\u76d1\u63a7\u2014\u2014\u76f4\u5230 6 \u5c0f\u65f6\u540e\u6709\u4eba\u53d1\u73b0\u65e5\u5fd7\u5f02\u5e38\u624d\u53bb\u770b\u3002<\/p>\n<p>\u7ed3\u679c\uff1a\u6d6a\u8d39 6 \u5c0f\u65f6 \u00d7 8 \u5f20 A100 = 48 GPU\u00b7\u5c0f\u65f6 \u2248 \u00a51440 \u6253\u6c34\u6f02\u3002<\/p>\n<p>\u5982\u679c\u4ed6\u4eec\u6709\u5b9e\u65f6 Loss \u76d1\u63a7 + \u5f02\u5e38\u544a\u8b66\uff0c5 \u5206\u949f\u5185\u5c31<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u76ee\u5f55 D39-\u8bad\u7ec3\u76d1\u63a7\u4e0e\u53ef\u89c6\u5316\uff1aLoss \u66f2\u7ebf + GPU \u76d1\u63a7 + \u65e9\u505c + checkpoint \u7ba1\u7406 \u4e00\u3001\u4e3a\u4ec0\u4e48\u8bad\u7ec3\u76d1\u63a7\u662f\u5fae\u8c03\u7684\\&#8221;X \u5149\u673a\\&#8221; 1.1 \u4e00\u4e2a\u771f\u5b9e\u6545\u4e8b 1.2 \u76d1\u63a7\u7684 3 \u4e2a\u6838\u5fc3\u76ee\u6807 \u4e8c\u30014 \u4e2a\u6838\u5fc3\u76d1\u63a7\u6307\u6807 2.1 Loss\uff08\u8bad\u7ec3\u635f\u5931\uff09 2.2 Learning Rate\uff08\u5b66\u4e60\u7387\uff09 2.3 Gradient\uff08\u68af\u5ea6\uff09 2.4 GPU \u5229\u7528\u7387 \u4e09\u30015 \u79cd Loss \u5f02\u5e38 + 4 \u79cd\u6b63\u5e38 3.1 5 \u79cd\u5f02\u5e38 + \u89e3\u51b3\u65b9\u6848 3.2 4 \u79cd\u6b63\u5e38 Loss \u66f2\u7ebf \u56db<\/p>\n","protected":false},"author":2,"featured_media":116346,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[13178,50],"topic":[],"class_list":["post-116347","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-1024---","tag-50"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>D39-\u8bad\u7ec3\u76d1\u63a7\u4e0e\u53ef\u89c6\u5316\uff1aLoss \u66f2\u7ebf + GPU \u76d1\u63a7 + \u65e9\u505c + checkpoint \u7ba1\u7406 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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