[Skimlit] ValueError: Exception encountered when calling layer 'char_vectorizer'

[dev-dreamer0]

Hi @mrdbourke Please help me. I am getting this error when I try to fit model_5.
ValueError: Exception encountered when calling layer 'char_vectorizer' (type TextVectorization).

When using `TextVectorization` to tokenize strings, the input rank must be 1 or the last shape dimension must be 1. Received: inputs.shape=(None, 20) with rank=2

Call arguments received by layer 'char_vectorizer' (type TextVectorization):
  • inputs=tf.Tensor(shape=(None, 20), dtype=string)

I am using the same code as yours in creating and fitting model_5

hitory_model_5 = model_5.fit(train_pos_char_token_dataset,
steps_per_epoch=int(0.1len(train_pos_char_token_dataset)),
epochs=3,
validation_data=val_pos_char_token_dataset,
validation_steps=int(0.1len(val_pos_char_token_dataset)))