ValueError: You are trying to load a weight file containing 0 layers into a model with 2 layers.

[WittmannF]

Code to replicate the error:

# 1. Import callbacks
from keras.models import Sequential
from keras.layers import Flatten, Dense, Conv2D, MaxPooling2D
from keras.callbacks import ModelCheckpoint
from keras.datasets import mnist
!pip install keras_lr_finder
from keras_lr_finder import LRFinder

# 2. Input Data
(X_train, y_train), (X_test, y_test) = mnist.load_data()

mean, std = X_train.mean(), X_train.std()
X_train, X_test = (X_train-mean)/std, (X_test-mean)/std

# 3. Define Model
model = Sequential([Flatten(),
                    Dense(512, activation='relu'),
                    Dense(10, activation='softmax')])


# 5. Train model
model.compile(loss='sparse_categorical_crossentropy', \
              metrics=['accuracy'], optimizer='adam')

lr_finder = LRFinder(model)

lr_finder.find(X_train, y_train, start_lr=0.0001, end_lr=1, batch_size=512, epochs=5)

Colab: https://colab.research.google.com/drive/1YDVTxHutTIeVKz7l7yUuZ7MtiLvTA4AJ