[Keras][LSTM] error due to shape mismatch

I have following data. Where I have 2 samples. Each sample I have 3 time steps each with 2 features. I intend to have 2 batches (to updates weights after every sample)

X=np.array([[[0.54, 0.3], [0.11, 0.2], [0.37, 0.81]],[[0.55, 0.4], [0.12, 0.3], [0.38, 0.9]]])
X=X.reshape(2,3,2)
y = np.array([[[0.2],[0.3],[0.4]],[[0.3],[0.4],[0.5]]])
y = y.reshape(2,3)

Following is my Keras LSTM code

model = Sequential()
model.add(LSTM(50, activation='relu', batch_input_shape=(2, 3, 2)))
# model.add(LSTM(50, activation='relu', batch_input_shape=(1, n_steps, n_features)))
# model.add(LSTM(50, activation='relu', input_shape=(n_steps, n_features)))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')

model.fit(X, y, epochs=10000, verbose=0)

Which gives me following error. According to my understanding it is due to the size mismatch but cannot figure out the issue in my sizes. Appreciate your input

ValueError: Error when checking target: expected dense_1 to have shape (1,) but got array with shape (3,)