ValueError: The filepath provided must end in .keras (Keras model format). Received: filepath=Models/02_captcha_to_text/202403291006/model.h5

[keosaly]

Hello,
Can you help me to fix this?

ValueError: The filepath provided must end in .keras (Keras model format). Received: filepath=Models/02_captcha_to_text/202403291006/model.h5

[keosaly]

my code:

Define callbacks

earlystopper = EarlyStopping(monitor="val_CER", patience=50, verbose=1, mode="min")
checkpoint = ModelCheckpoint(f"{configs.model_path}/model.h5", monitor="val_CER", verbose=1, save_best_only=True, mode="min")
trainLogger = TrainLogger(configs.model_path)
tb_callback = TensorBoard(f"{configs.model_path}/logs", update_freq=1)
reduceLROnPlat = ReduceLROnPlateau(monitor="val_CER", factor=0.9, min_delta=1e-10, patience=20, verbose=1, mode="min")
model2onnx = Model2onnx(f"{configs.model_path}/model.h5")

Train the model

model.fit(
train_data_provider,
validation_data=val_data_provider,
epochs=configs.train_epochs,
callbacks=[earlystopper, checkpoint, trainLogger, reduceLROnPlat, tb_callback, model2onnx],
workers=configs.train_workers
)

Save training and validation datasets as csv files

train_data_provider.to_csv(os.path.join(configs.model_path, "train.csv"))
val_data_provider.to_csv(os.path.join(configs.model_path, "val.csv"))

[mbahadirk]

did you find any solutions on that?
I'am still working on that

[pythonlessons]

It seems you try to use newest tensorflow version (different from tutorial). Recommend to downgrade tensorflow for compatibility. Otherwise you need to do changes manualy. For example change model.h5 to model.keras in all places. But you may face more serious incompatibilities further