Update README.md

README.md

@@ -32,9 +32,10 @@ This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.c
 It achieves the following results on the evaluation set:
 - Loss: 0.1958
 - Accuracy: 0.9419
-- Weighted f1: 0.9403
-- Micro f1: 0.9419
-- Macro f1: 0.9278
+- F1
+  - Weighted: 0.9403
+  - Micro: 0.9419
+  - Macro: 0.9278
 
 ## Model description
 
@@ -66,7 +67,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|
 | 1.9273        | 0.98  | 43   | 1.1368          | 0.5987   | 0.5462      | 0.5987   | 0.5175   |
 | 1.0685        | 1.98  | 86   | 0.5244          | 0.8248   | 0.7939      | 0.8248   | 0.7670   |