New TF GLUE example (#12028)

* Pushing partially-complete new GLUE example

* First draft of the new TF GLUE example! Needs a little more testing to be sure but it's almost ready.

* Fix to the fit() call

* Bugfixes, making sure TPU and multi-GPU support is ready

* Remove logger line that depends on Pytorch

* Style pass

* Deleting old TF GLUE example

* Include label2id and id2label in the saved model config

* Don't clobber the existing model.config.label2id

* Style fixes

* Update examples/tensorflow/text-classification/run_glue.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

examples/tensorflow/text-classification/run_text_classification.py

@@ -205,7 +205,6 @@ class ModelArguments:
             "with private models)."
         },
     )
-    tpu: Optional[str] = field(default=None, metadata={"help": "Name of the TPU resource to use, if available"})
 
 
 # endregion
@@ -439,10 +438,8 @@ def main():
         model.compile(optimizer=optimizer, loss=loss_fn, metrics=metrics)
         # endregion
 
-        # region Convert data to TF format
+        # region Convert data to a tf.data.Dataset
 
-        # Convert data to a tf.keras.utils.Sequence object for training if we're not using a TPU
-        # For TPU, convert to a tf.data.Dataset
         tf_data = dict()
         max_samples = {
             "train": data_args.max_train_samples,