when trying to train my model i am getting error – “ValueError: Cannot convert ‘8’ to a shape”, when the shape of my X_train is (5347,28).

import tensorflow as tf
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense

model = Sequential()

model.add(tf.keras.Input(shape=(X_train.shape[1])))
model.add(Dense(units=25,activation='relu'))
model.add(Dense(units=15 , activation='relu'))
model.add(Dense(units=1 , activation='linear'))

model.summary()

loss_fun = tf.keras.losses.MSE
model.compile(loss = loss_fun,
              optimizer = 'adam',
              metrics=['accuracy']
             )
history = model.fit(X_train,y_train,epochs=25)

I tried differnet things but still still goes some different error.