Update README.md

README.md

@@ -144,33 +144,33 @@ We used Weights and Biases (WandB) for tracking and visualizing our machine lear
 ##### 4.5.1 Evaluation Metrics
 
 - **Steps per Second**
-![Steps per Second](C:\Users\jonat\Desktop\WandB_Training_Evaluation\eval_stepspersecond.png)
+![Steps per Second](.\WandB_Training_Evaluation\eval_stepspersecond.png)
 
 - **Runtime**
-![Runtime](C:\Users\jonat\Desktop\WandB_Training_Evaluation\eval_runtime.png)
+![Runtime](.\WandB_Training_Evaluation\eval_runtime.png)
 
 - **Samples per Second**
-![Samples per Second](C:\Users\jonat\Desktop\WandB_Training_Evaluation\eval_samplespersecond.png)
+![Samples per Second](.\WandB_Training_Evaluation\eval_samplespersecond.png)
 
 - **Loss**
-![Loss](C:\Users\jonat\Desktop\WandB_Training_Evaluation\eval_loss.png)
+![Loss](.\WandB_Training_Evaluation\eval_loss.png)
 
 ##### 4.5.2 Training Metrics
 
 - **Gradient Norm**
-![Gradient Norm](C:\Users\jonat\Desktop\WandB_Training_Evaluation\train_gradnorm.png)
+![Gradient Norm](.\WandB_Training_Evaluation\train_gradnorm.png)
 
 - **Global Step**
-![Global Step](C:\Users\jonat\Desktop\WandB_Training_Evaluation\train_globalstep.png)
+![Global Step](.\WandB_Training_Evaluation\train_globalstep.png)
 
 - **Loss**
-![Training Loss](C:\Users\jonat\Desktop\WandB_Training_Evaluation\train_loss.png)
+![Training Loss](.\WandB_Training_Evaluation\train_loss.png)
 
 - **Learning Rate**
-![Learning Rate](C:\Users\jonat\Desktop\WandB_Training_Evaluation\train_learningrate.png)
+![Learning Rate](.\WandB_Training_Evaluation\train_learningrate.png)
 
 - **Epoch**
-![Epoch](C:\Users\jonat\Desktop\WandB_Training_Evaluation\train_epoch.png)
+![Epoch](.\WandB_Training_Evaluation\train_epoch.png)
 
 ## 5 Discussion