Add AlbertTokenizer description information
Author: ftimes
Pull request: yes

# What does this PR do?

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Hi, when I used Albert for pretraining, I found that the loss curve seemed abnormal. I did a number of checks and found that the data was not segmented as expected.I searched GitHub and found that this bug has been marked some times( #15003 #8999 ) and waiting to be fixed.

I guess we should definitely tell users about this problem before fixing it. This will help users win more debug time, right?


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- [ ] Did you write any new necessary tests?


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Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @LysandreJik

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_17673). All of your documentation changes will be reflected on that endpoint.

cc @SaulLu