'logits' and 'labels' must have the same shape, received error during deep learning

import pandas as pd
import tensorflow as tf
import os

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

df = pd.read_csv('C:\\Users\\operator09\\PycharmProjects\\pythonProject\\TEST\\data\\clothsize.csv')

df['age'] = df['age'].fillna(df['age'].median())
df['height'] = df['height'].fillna(df['height'].median())

df['size'] = df['size'].map({'M': 0, 'S': 1, 'XXXL': 2, 'XL': 3, 'L': 4, 'XXS': 5, 'XXL': 6})

x = df.drop("size", axis=1)
y = df['size']

model = tf.keras.models.Sequential([tf.keras.layers.Dense(64, activation='relu'),
                                    tf.keras.layers.Dense(128, activation='relu'),
                                    tf.keras.layers.Dense(1028, activation='relu'),
                                    tf.keras.layers.Dropout(0.2),
                                    tf.keras.layers.Dense(64, activation='relu'),
                                    tf.keras.layers.Dense(6, activation='softmax')
                                    ])
opt = tf.keras.optimizers.Adam(learning_rate=0.0001)
model.compile(optimizer=opt, loss='binary_crossentropy', metrics=['accuracy'])
model.fit(x, y, epochs=1000)