Update README.md

README.md

@@ -25,10 +25,10 @@ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0168
 - Validation Loss: 0.0518
-- Train Precision: 0.8
-- Train Recall: 0.8640
-- Train F1: 0.8308
-- Train Accuracy: 0.9860
+- Precision: 0.8
+- Recall: 0.8640
+- F1: 0.8308
+- Accuracy: 0.9860
 - Epoch: 9
 
 ## Model description
@@ -53,7 +53,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+| Train Loss | Validation Loss | Precision | Recall | F1 | Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.1130     | 0.0547          | 0.7364          | 0.7916       | 0.7630   | 0.9832         | 0     |
 | 0.0335     | 0.0497          | 0.7836          | 0.8513       | 0.8161   | 0.9850         | 1     |