How to plot multiple models val and traing acc/loss curve from csv files?
Here are the steps I solve my problem:

Save Statistical records (Training-Validation Accuraciers, Training-Validation Recall, Training-Validation Precisions, Training-Validation F1) from CSV files of this following code tf.keras.callbacks.CSVLogger after training each fold (I trained for the 3 Folds).

And load those csv files in the list:
    import pandas as pd
    l = [&quot;/Records_of_Fold_2.csv&quot; , &quot;/Records_of_Fold_3.csv&quot;]

After that, Plot using matplotlib :
for (k,i) in enumerate(l):
data = pd.read_csv(i)
plt.figure(str(k))
plt.xlabel(&quot;x&quot;+str(k))
plt.ylabel(&quot;y&quot;+str(k))
plt.plot(data[&quot;epoch&quot;],data[&quot;f1_score&quot;])
plt.plot(data[&quot;epoch&quot;],data[&quot;loss&quot;])
print(k)
plt.show()