generic text classification with TensorFlow error (AttributeError: 'TFTrainingArguments' object has no attribute 'args')
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->
     
- `transformers` version: 3.2.0
- Platform: Linux-4.15.0-1091-oem-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.6.9
- PyTorch version (GPU?): not installed (NA)
- Tensorflow version (GPU?): 2.3.0 (True)
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>


### Who can help
@jplu 
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## Information

Model I am using (Bert, XLNet ...): bert-base-multilingual-uncased

The problem arises when using:
* [x] the official example scripts: (give details below)
* [ ] my own modified scripts: (give details below)
Running run_tf_text_classification.py with flags from the example in the "Run generic text classification script in TensorFlow" section of examples/text-classification

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [x] my own task or dataset: (give details below)
Text classification dataset for classifying answers to questions. Using 3 CSVs (train, dev, and test) that each have headers (class, text) and columns containing class labels (int) and questions (strings). There are no commas present in the questions, for reference.

## To reproduce

Steps to reproduce the behavior:

1. Call run_tf_text_classification.py with flags from the example in the "Run generic text classification script in TensorFlow" section of examples/text-classification:
```python3
python run_tf_text_classification.py \
  --train_file train.csv \
  --dev_file dev.csv \ 
  --test_file test.csv \ 
  --label_column_id 0 \ 
  --model_name_or_path bert-base-multilingual-uncased \
  --output_dir model \
  --num_train_epochs 4 \
  --per_device_train_batch_size 16 \
  --per_device_eval_batch_size 32 \
  --do_train \
  --do_eval \
  --do_predict \
  --logging_steps 10 \
  --evaluate_during_training \
  --save_steps 10 \
  --overwrite_output_dir \
  --max_seq_length 128
```
2. Error is encountered:

```python3
Traceback (most recent call last):
  File "run_tf_text_classification.py", line 283, in <module>
    main()
  File "run_tf_text_classification.py", line 199, in main
    training_args.n_replicas,
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/transformers/file_utils.py", line 936, in wrapper
    return func(*args, **kwargs)
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/transformers/training_args_tf.py", line 180, in n_replicas
    return self._setup_strategy.num_replicas_in_sync
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/transformers/file_utils.py", line 914, in __get__
    cached = self.fget(obj)
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/transformers/file_utils.py", line 936, in wrapper
    return func(*args, **kwargs)
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/transformers/training_args_tf.py", line 122, in _setup_strategy
    if self.args.xla:
AttributeError: 'TFTrainingArguments' object has no attribute 'args'
```

3. If the logger.info call is commented out (lines 197-202), the above error is prevented but another error is encountered:

```python3
Traceback (most recent call last):
  File "run_tf_text_classification.py", line 282, in <module>
    main()
  File "run_tf_text_classification.py", line 221, in main
    max_seq_length=data_args.max_seq_length,
  File "run_tf_text_classification.py", line 42, in get_tfds
    ds = datasets.load_dataset("csv", data_files=files)
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/datasets/load.py", line 604, in load_dataset
    **config_kwargs,
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/datasets/builder.py", line 158, in __init__
    **config_kwargs,
  File "/home/qd_team/qdmr_gpu/smart_env/lib/python3.6/site-packages/datasets/builder.py", line 269, in _create_builder_config
    for key in sorted(data_files.keys()):
TypeError: '<' not supported between instances of 'NamedSplit' and 'NamedSplit'
```

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Here is a pip freeze:
```python3
absl-py==0.10.0
astunparse==1.6.3
cachetools==4.1.1
certifi==2020.6.20
chardet==3.0.4
click==7.1.2
dataclasses==0.7
datasets==1.0.2
dill==0.3.2
filelock==3.0.12
gast==0.3.3
google-auth==1.21.3
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
importlib-metadata==2.0.0
joblib==0.16.0
Keras-Preprocessing==1.1.2
Markdown==3.2.2
numpy==1.18.5
oauthlib==3.1.0
opt-einsum==3.3.0
packaging==20.4
pandas==1.1.2
protobuf==3.13.0
pyarrow==1.0.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing==2.4.7
python-dateutil==2.8.1
pytz==2020.1
regex==2020.7.14
requests==2.24.0
requests-oauthlib==1.3.0
rsa==4.6
sacremoses==0.0.43
scipy==1.4.1
sentencepiece==0.1.91
six==1.15.0
tensorboard==2.3.0
tensorboard-plugin-wit==1.7.0
tensorflow==2.3.0
tensorflow-estimator==2.3.0
termcolor==1.1.0
tokenizers==0.8.1rc2
tqdm==4.49.0
transformers==3.2.0
urllib3==1.25.10
Werkzeug==1.0.1
wrapt==1.12.1
xxhash==2.0.0
zipp==3.2.0
```

## Expected behavior
Model begins to train on custom dataset.
<!-- A clear and concise description of what you would expect to happen. -->

Hello!

This is fixed in master.<|||||> @jplu Sorry, but I'm facing the same issue, and have version 3.2 installed. Can you please elaborate on how I might fix this? Thanks.<|||||>@sunnyville01 Just install the version on master with `pip install git+https://github.com/huggingface/transformers.git`<|||||>@jplu Thanks, that fixed it.<|||||>I am still facing this issue on colab with 
!pip install git+https://github.com/huggingface/transformers.git

`---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-43-d201a6fb0a8d> in <module>()
     17     learning_rate=LEARNING_RATE
     18 )
---> 19 with training_argsTF.strategy.scope():
     20   modelTF = TFAutoModelForSequenceClassification.from_pretrained(
     21     model_args['model_name'],

4 frames
/usr/local/lib/python3.6/dist-packages/transformers/training_args_tf.py in _setup_strategy(self)
    120         logger.info("Tensorflow: setting up strategy")
    121 
--> 122         if self.args.xla:
    123             tf.config.optimizer.set_jit(True)
    124 

AttributeError: 'TFTrainingArguments' object has no attribute 'args'`<|||||>Something must be wrong with your install process, because this bug is fixed in master.<|||||>My bad, did not notice "requirements already met message", updated to 
!pip install --upgrade git+https://github.com/huggingface/transformers.git

No more issue! Sorry .<|||||>> Something must be wrong with your install process, because this bug is fixed in master.

The error seems to persist with me. I installed using `!pip install git+https://github.com/huggingface/transformers.git` and got the same error `TypeError: '<' not supported between instances of 'NamedSplit' and 'NamedSplit'`

Here's is a colab notebook, you can do runtime-> run all , and see the output of the last cell. 

https://colab.research.google.com/drive/1r3XCKYA8RBtfYmU2jqHVJT-uTt1ii04S?usp=sharing<|||||>@jplu I'm also getting the same error `TypeError: '<' not supported between instances of 'NamedSplit' and 'NamedSplit'`, and I also ran the colab from @Santosh-Gupta and the error happened too. 
My local environment is also based on transformer's master branch. <|||||>@pvcastro Can you open a new issue please with all the details to be able for us to reproduce it. This thread is closed and about a different one.