Update README.md

README.md

@@ -68,8 +68,7 @@ Balanced accuracy metrics on all datasets.
 `deberta-v3-large-zeroshot-v1.1-all-33` was trained on all datasets, with only maximum 500 texts per class to avoid overfitting. 
 The metrics on these datasets are therefore not strictly zeroshot, as the model has seen some data for each task. 
 `deberta-v3-large-zeroshot-v1.1-heldout` indicates zeroshot performance on the respective dataset.
-To calculate these zeroshot metrics, 28 models were trained, each with one dataset held out from training to simulate a zeroshot setup.
-The other setup (hyperparameters etc.) remained the same.
+To calculate these zeroshot metrics, the pipeline was run 28 times, each time with one dataset held out from training to simulate a zeroshot setup.
 
 ![figure_large_v1.1](https://github.com/MoritzLaurer/zeroshot-classifier/blob/main/results/fig_large_v1.1.png)