`y` argument is not supported when using `keras.utils.Sequence` as input. error

import pandas as pd
from sklearn.preprocessing import MinMaxScaler
import os
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Flatten, Dropout, Conv2D, MaxPool2D
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential
from tensorflow.keras.callbacks import EarlyStopping

train_path = "D:\python_scripts\garbage/garbage/"
img_shape = (437, 694, 3)
df = pd.read_csv("mpd.csv")
scaler = MinMaxScaler()
earlyStopping = EarlyStopping(monitor="val_loss", mode="min", patience=2)

y = df[["methane", "plastic", "dsci"]].values

imgGen = ImageDataGenerator(rotation_range=(20), width_shift_range=(
    0.1), height_shift_range=(0.1), zoom_range=(0.2), shear_range=(0.1), fill_mode="nearest")
imgGen.flow_from_directory(train_path)
x = imgGen.flow_from_directory(train_path, class_mode=None,
                               color_mode="rgb", batch_size=16, target_size=(img_shape)[:0])

model = Sequential()

model.add(Conv2D(filters=128, kernel_size=(3, 3),
                 input_shape=img_shape, activation="relu"))
model.add(MaxPool2D(pool_size=(4, 4)))
model.add(Conv2D(filters=256, kernel_size=(3, 3),
                 input_shape=img_shape, activation="relu"))
model.add(MaxPool2D(pool_size=(4, 4)))
model.add(Conv2D(filters=512, kernel_size=(3, 3),
                 input_shape=img_shape, activation="relu"))
model.add(MaxPool2D(pool_size=(4, 4)))
model.add(Conv2D(filters=1024, kernel_size=(3, 3),
                 input_shape=img_shape, activation="relu"))
model.add(MaxPool2D(pool_size=(4, 4)))

model.add(Flatten())

model.add(Dense(128, activation="relu"))
model.add(Dropout(0.5))
model.add(Dense(256, activation="relu"))
model.add(Dropout(0.5))
model.add(Dense(512, activation="relu"))
model.add(Dropout(0.5))
model.add(Dense(1024, activation="relu"))
model.add(Dropout(0.5))

model.add(Dense(3))

model.compile(optimizer="adam", loss="mse", metrics=["accuracy"])

model.fit(x=x, y=y, epochs=500, verbose=1, callbacks=[earlyStopping])
model.save("deep.h5")

NOTE: garbage/garbage/ contains images mpd.csv is a CSV file which corresponds to the images in garbage/garbage/

This is the output-

File "D:\python_scripts\garbage\deep.py", line 54, in <module>
    model.fit(x=x, y=y, epochs=500, verbose=1, callbacks=[earlyStopping],batch_size=16)
  File "C:\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 66, in _method_wrapper
    return method(self, *args, **kwargs)
  File "C:\Python38\lib\site-packages\tensorflow\python\keras\engine\training.py", line 802, in fit
    data_handler = data_adapter.DataHandler(
  File "C:\Python38\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 1100, in __init__
    self._adapter = adapter_cls(
  File "C:\Python38\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py", line 891, in __init__
    raise ValueError("`y` argument is not supported when using "
ValueError: `y` argument is not supported when using `keras.utils.Sequence` as input.