Arguments target and output must have the same shape. Received: target.shape=(32, 4), output.shape=(32, 1)

[kequeen]

model.compile(optimizer="rmsprop", loss={"priority": "mean_squared_error", "department": "categorical_crossentropy"}, metrics={"priority": ["mean_absolute_error"], "department": ["accuracy"]}) model.fit({"title": title_data, "text_body": text_body_data, "tags": tags_data}, {"priority": priority_data, "department": department_data}, epochs=1) model.evaluate({"title": title_data, "text_body": text_body_data, "tags": tags_data}, {"priority": priority_data, "department": department_data}) priority_preds, department_preds = model.predict( {"title": title_data, "text_body": text_body_data, "tags": tags_data})

something is wrong in this code