Update ReadMe.md, remove validation metrics from intro

README.md

@@ -28,12 +28,7 @@ A fine-tuned version of [`bert-base-cased`](https://huggingface.co/bert-base-cas
 for Named Entity Recognition (NER), trained on the CoNLL-2003 English dataset as part 
 of working through the [Hugging Face LLM Course](https://huggingface.co/learn/llm-course), 
 Chapter 7.
-It achieves the following results on the evaluation set:
-- Loss: 0.0599
-- Precision: 0.9319
-- Recall: 0.9507
-- F1: 0.9412
-- Accuracy: 0.9867
+
 
 ## Model details
 
@@ -93,7 +88,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+| Training Loss | Epoch | Step | Validation Loss | Validation Precision | Validation Recall | Validation F1 | Validation Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
 | 0.0759        | 1.0   | 1756 | 0.0651          | 0.8905    | 0.9310 | 0.9103 | 0.9812   |
 | 0.0355        | 2.0   | 3512 | 0.0681          | 0.9321    | 0.9473 | 0.9397 | 0.9853   |