Update README.md

README.md

@@ -33,15 +33,18 @@ This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.c
 It achieves the following results on the evaluation set:
 - Loss: 0.0436
 - Accuracy: 0.9865
-- Weighted f1: 0.9865
-- Micro f1: 0.9865
-- Macro f1: 0.9863
-- Weighted recall: 0.9865
-- Micro recall: 0.9865
-- Macro recall: 0.9861
-- Weighted precision: 0.9869
-- Micro precision: 0.9865
-- Macro precision: 0.9870
+- F1
+  - Weighted: 0.9865
+  - Micro: 0.9865
+  - Macro: 0.9863
+- Recall
+  - Weighted: 0.9865
+  - Micro: 0.9865
+  - Macro: 0.9861
+- Precision
+  - Weighted: 0.9869
+  - Micro: 0.9865
+  - Macro: 0.9870
 
 ## Model description
 
@@ -73,7 +76,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 0.8316        | 0.99  | 62   | 0.7519          | 0.743    | 0.7020      | 0.743    | 0.7015   | 0.743           | 0.743        | 0.7430       | 0.6827             | 0.743           | 0.6819          |
 | 0.3561        | 2.0   | 125  | 0.2302          | 0.9395   | 0.9401      | 0.9395   | 0.9400   | 0.9395          | 0.9395       | 0.9394       | 0.9482             | 0.9395          | 0.9480          |