Add: fsdp accelerate version warning
Author: jp1924
Pull request: yes

# What does this PR do?

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When there was a problem that the model checkpoint could not be saved     
while running fsdp to the latest version of transformers.      
It turned out that it was a problem caused by the low accelerate version.     
I think I should at least warn you about this so that problems like mine don't happen.


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## Who can review?
@muellerzr
@pacman100
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Comments:
cc @pacman100 

# Reproduction Code
```python
from transformers import (
    TrainingArguments,
    Trainer,
    BertForSequenceClassification,
    BertTokenizer,
)
from datasets import load_dataset
from transformers.utils import check_min_version
from accelerate import __version__ as accelerate_version
from packaging import version

if version.parse(accelerate_version) > version.parse("0.24.1"):
    raise RuntimeError(
        "This error occurs in accelerate versions 0.24.1 and earlier. Please lower your accelerate version"
    )

# This error occurs in transformers 4.36.0 and later
check_min_version("4.36.0")


def main(training_args: TrainingArguments) -> None:
    model_name_or_path = "brenomatos/bert-base-uncased"
    tokenizer = BertTokenizer.from_pretrained(model_name_or_path)
    model = BertForSequenceClassification.from_pretrained(model_name_or_path)

    trainer = Trainer(
        model=model,
        tokenizer=tokenizer,
        args=training_args,
    )
    trainer.save_model()
    trainer.save_state()


if "__main__" in __name__:
    training_args = TrainingArguments(
        output_dir="./output_dir",
        run_name="FSDP_save_test",
        fsdp="full_shard auto_wrap",
        fsdp_transformer_layer_cls_to_wrap="BertEncoder",
    )
    main(training_args)
```
run script
>torchrun --nproc_per_node=4 ./fsdp_error_test.py
# Version
torch                    2.0.1+cu118
transformers             4.36.2
accelerate               0.24.0
# Description
Thank you for your interest. @pacman100 
    
First of all, this is an issue I discovered while trying to further pretrain the LLAMA2 13B model.
My computer was running low on memory, so if I tried to save a checkpoint in the middle of training, I would get a CPU OOM and the training would end.
However, saving the checkpoint after the training was over did not cause the OOM, so I had been using `trainer.save_model()` to save the model after all the training was finished. 
However, when I saved the model after updating transformers to the latest version, the model was not saved properly.
(No `*.bin` file was created in output_dir.)

I looked up the problem and realized that it was caused by the `version.parse(accelerate_version) > version.parse("0.24.1")` code added in transformers 4.36.0.
I can understand why they added it, but I thought they should have at least included a warning, so I issued a PR.


Gentle ping @pacman100