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README.md

@@ -110,16 +110,10 @@ print("Final validation accuracy: ", metrics['val_accuracies'][-1])
 These metrics can be useful for continuing training from the last epoch or for detailed analysis of the training process.
 
 ## Training results
-![Include a plot of your training metrics here](training_plot.png)
+![Include a plot of your training metrics here](loss_plot.png)
 
 Limitations and bias
 ## This model may exhibit biases present in the training data. Always validate results and use the model responsibly.
 
 ## Plots
-![Labels distribution plots](label_distribution.png)
 ![loss plots](loss_plot.png)
-![accuracy plots](accuracy_plot.png)
-![f1 score plots](f1_score_plot.png)
-![confusion matrix plots](confusion_matrix.png)
-![precision recall curve plots](precision_recall_curve.png)
-![roc curve plots](roc_curve.png)