{
  "id": 384719,
  "title": "Are high scoring teams using aux loss?",
  "url": "/competitions/rsna-breast-cancer-detection/discussion/384719",
  "author_name": "Feng Qilong",
  "post_date": "2023-02-09T07:34:44.217000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I found that when using aux loss, the lb score and cv score seem quite aligned (cv 0.51, lb 0.49) for a single fold, but it's extremely hard to fine-tune.</p>",
  "messages": [
    {
      "id": 2136242,
      "postDate": "2023-02-09T07:34:44.217Z",
      "content": "<p>I found that when using aux loss, the lb score and cv score seem quite aligned (cv 0.51, lb 0.49) for a single fold, but it's extremely hard to fine-tune.</p>",
      "rawMarkdown": "I found that when using aux loss, the lb score and cv score seem quite aligned (cv 0.51, lb 0.49) for a single fold, but it's extremely hard to fine-tune.",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2136242": "I found that when using aux loss, the lb score and cv score seem quite aligned (cv 0.51, lb 0.49) for a single fold, but it's extremely hard to fine-tune."
  }
}