Trainer train continues after resume_from_checkpoint on a checkpoint with early stop
## Environment info
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When continuing training from checkpoint, Trainer does not check if the checkpoint terminated with an `self.control.should_training_stop == True`.  

`self.control.should_training_stop == True` holds when:
1. `state.global_step >= state.max_steps`
    * training does not resume on `resume_from_checkpoint` due to recovering steps information (`state.global_step`) from checkpoint state 👍 
2. Due to early stopping condition True
    * training resumes as no mechanism to find previous early stopping state 👎
    * even `early_stopping_patience_counter` is restarted from 0 on `EarlyStoppingCallback` init, irrespective of `resume_from_checkpoint` 👎 

### Who can help
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Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
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- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @jplu

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

HF projects:

- nlp datasets: [different repo](https://github.com/huggingface/nlp)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
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@sgugger as issue in Trainer.

## Information

Model I am using (Bert, XLNet ...):

The problem arises when using:
* [ ] the official example scripts: (give details below)
* [x] my own modified scripts: (give details below)

The tasks I am working on is:
* [ ] an official GLUE/SQUaD task: (give the name)
* [x] my own task or dataset: (give details below)

## To reproduce

Steps to reproduce the behavior:

1. Initialize `Trainer.train` with `resume_from_checkpoint` pointing to a checkpoint that stopped due to early stopping

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## Expected behavior
Training should not happen as the checkpoint loaded had stopped due to early stopping.
<!-- A clear and concise description of what you would expect to happen. -->

Indeed, I can see the problem. I'm not sure there is an easy fix however and I don't have time right now to build a proper callback checkpointing system. Will have to wait a little bit to be fixed!<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.