Fix typo in README.md

leaderborad -> leaderboard

README.md

@@ -17,7 +17,7 @@ Till October 2023, the top three models for five different tasks are:
 | 🥈 2nd            |   [PatchTST](https://github.com/yuqinie98/PatchTST)    | [Non-stationary<br/>Transformer](https://github.com/thuml/Nonstationary_Transformers) | [Non-stationary<br/>Transformer](https://github.com/thuml/Nonstationary_Transformers) | [Non-stationary<br/>Transformer](https://github.com/thuml/Nonstationary_Transformers) | [FEDformer](https://github.com/MAZiqing/FEDformer) |
 | 🥉 3rd            | [TimesNet](https://arxiv.org/abs/2210.02186) | [FEDformer](https://github.com/MAZiqing/FEDformer)           | [Autoformer](https://github.com/thuml/Autoformer)            | [Informer](https://github.com/zhouhaoyi/Informer2020)        | [Autoformer](https://github.com/thuml/Autoformer)  |
 
-**Note: We will keep updating this leaderborad.** If you have proposed advanced and awesome models, welcome to send your paper/code link to us or raise a pull request. We will add them to this repo and update the leaderborad as soon as possible.
+**Note: We will keep updating this leaderboard.** If you have proposed advanced and awesome models, welcome to send your paper/code link to us or raise a pull request. We will add them to this repo and update the leaderboard as soon as possible.
 
 **Compared models of this leaderboard.** ☑ means that their codes have already been included in this repo.
   - [x] **iTransformer** - iTransformer: Inverted Transformers Are Effective for Time Series Forecasting [[arXiv 2023]](https://arxiv.org/abs/2310.06625) [[Code]](https://github.com/thuml/Time-Series-Library/blob/main/models/iTransformer.py)