This is the link to the tutorial.This is the code specifically (I just opened in Colab and ran it - so I did not edit anything):
I am getting the following error:
AttributeError: in user code: File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1284, in train_function * return step_function(self, iterator) File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_tf_utils.py", line 1483, in compute_loss * return super().compute_loss(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1109, in compute_loss ** return self.compiled_loss( File "/usr/local/lib/python3.10/dist-packages/keras/engine/compile_utils.py", line 263, in __call__ y_t, y_p, sw = match_dtype_and_rank(y_t, y_p, sw) File "/usr/local/lib/python3.10/dist-packages/keras/engine/compile_utils.py", line 840, in match_dtype_and_rank if (y_t.dtype.is_floating and y_p.dtype.is_floating) or ( AttributeError: 'NoneType' object has no attribute 'dtype'
after this section of code:
optimizer = tf.keras.optimizers.Adam(learning_rate=5e-5, epsilon=1e-08)model.compile(optimizer=optimizer, loss=model.compute_loss, metrics=['accuracy'])model.fit(train_dataset.shuffle(100).batch(16), epochs=2, batch_size=16, validation_data=val_dataset.shuffle(100).batch(16))