readme: update results section

README.md

@@ -21,12 +21,14 @@ Details about the training can be found [here](https://github.com/stefan-it/hmBy
 
 We evaluated the hmByT5 model on ICDAR Europeana dataset:
 
-| Configuration                            | Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Avg.         |
-|------------------------------------------|-------|-------|-------|-------|-------|--------------|
-| `wsFalse-bs4-e10-lr0.00015-poolingfirst` | 88.02 | 88.71 | 87.17 | 87    | 88.62 | 87.9 ± 0.71  |
-| `wsFalse-bs8-e10-lr0.00015-poolingfirst` | 87.1  | 86.72 | 87.15 | 88.29 | 87.35 | 87.32 ± 0.53 |
-| `wsFalse-bs8-e10-lr0.00016-poolingfirst` | 87.23 | 87.19 | 87.11 | 87.62 | 87.11 | 87.25 ± 0.19 |
-| `wsFalse-bs4-e10-lr0.00016-poolingfirst` | 85.98 | 87.5  | 84.22 | 87.08 | 86.48 | 86.25 ± 1.14 |
+| Configuration                            | Run 1 | Avg.        |
+|------------------------------------------|-------|-------------|
+| `wsFalse-bs4-e10-lr0.00015-poolingfirst` | 87.63 | 87.63 ± 0.0 |
+| `wsFalse-bs8-e10-lr0.00016-poolingfirst` | 87.35 | 87.35 ± 0.0 |
+| `wsFalse-bs8-e10-lr0.00015-poolingfirst` | 87.26 | 87.26 ± 0.0 |
+| `wsFalse-bs4-e10-lr0.00016-poolingfirst` | 86.31 | 86.31 ± 0.0 |
+
+We only performed fine-tuning for one epoch. Unfortunately, this ByT5 Base model shows no improvement over ByT5 Small architecture.
 
 # Acknowledgements