Update README.md

README.md

@@ -200,7 +200,7 @@ Based on the different experiments we have made - the final training recipe for
 from the one used for AIFS Single v0.2.1 since we found that we could get a well trained model by skipping the ERA5
 rollout and directly doing the rollout on the operational-analysis (extended) dataset. When we say 'extended' we refer 
 to the fact that for AIFS Single v0.2.1 we used just operational-analysis data from 2019 to 2021, while in this new 
-release we have done the fine-tunning from 2016 to 2023. 
+release we have done the fine-tunning from 2016 to 2022. 
 
 The other important change in the fine-tuning stage is that for AIFS Single v0.2.1 after the 6hr model training the
 optimiser was not restarted (ie. rollout was done with the minimal lr of \\(3 × 10^{-7}\\)). For this release we have seen