> For the complete documentation index, see [llms.txt](https://sisyphus.gitbook.io/project/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sisyphus.gitbook.io/project/deep-learning-basics/basics/hinge-loss.md).

# Hinge Loss

## Hinge loss (SVM loss)

1. **Definition:** The correct score should be larger than a margin (1, and the 1 here actually can be arbitrary) than wrong scores 
2. **Min** 0, **Max** infinity
3. **At the initial time**, every class scores should be similar and the expected loss is C-1 ( each wrong class has loss 1, and there are C - 1 wrong classes)
4. **Squared hinge loss** is different from hinge loss, squared loss focusing more on the bad cases, a small difference may have huge loss value at the end.

![](/files/-LP81K9GYzvQS2CN4oEW)


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