Update README.md

README.md

@@ -109,16 +109,16 @@ For the model evaluation, two metrics were used:
 
 ### Results
 
-The test evaluation for this model [showcases](https://arxiv.org/abs/2404.12342) the F1_PN = 60.024
+The test evaluation for this model [showcases](https://arxiv.org/abs/2404.12342) the F1_PN = 62.715
 
 Below is the log of the training process that showcases the final peformance on the RuSentNE-2023 `test` set after 4 epochs (lines 5-6):
 ```tsv
     F1_PN  F1_PN0  default   mode
-0  45.523  59.375   59.375  valid
-1  62.345  70.260   70.260  valid
-2  62.722  70.704   70.704  valid
-3  62.721  70.671   70.671  valid
-4  62.357  70.247   70.247  valid
-5  60.024  68.171   68.171   test
-6  60.024  68.171   68.171   test
+0  60.270  69.261   69.261  valid
+1  66.226  73.596   73.596  valid
+2  65.704  73.675   73.675  valid
+3  66.729  74.186   74.186  valid
+4  67.314  74.669   74.669  valid
+5  62.715  71.001   71.001   test
+6  62.715  71.001   71.001   test
 ```