Update TRAIN_MODEL_MIX_R18.py

TRAIN_MODEL_MIX_R18.py

@@ -22,7 +22,7 @@ Refernces: LFI-3 cnn.py
 This traines a Normal Resnet18 with the a Kegal dataset "Early detection of 3D printing issues" MIXED with a Dataset 
 of a our on to Domain Shift the Dataset to fit our camera and printer.
 Link to Original Dataset: https://www.kaggle.com/datasets/gauravduttakiit/early-detection-of-3d-printing-issues?select=train
-Link to the Mixed Dataset: ??? TODO ???
+Link to the Mixed Dataset: https://drive.google.com/drive/folders/1zktZCBSIpamPsIcyLlYEq5N0dgM1k0Zi?usp=drive_link 
 The Mixed Dataset contains approximately 10% more images of labeled fail and correct prints from the printer of Paul Judis
 """
 
@@ -339,4 +339,4 @@ if __name__ == '__main__':
     print(f'Finished Training, Loss: {sum(training_history[0])/len(training_history[0]):.4f}')
     torch.save(model.state_dict(), model_save_PATH)
     with open(training_history_PATH, 'w') as f:
-            json.dump(training_history, f) 
\ No newline at end of file
+            json.dump(training_history, f)