[Flax] token-classification model steps enumerate start from 1
Author: kamalkraj
Pull request: yes

# What does this PR do?

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Model saving at the last step was skipped due to enumerate starting at 0. 


## Before submitting
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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
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Comments:
You mean here
https://github.com/huggingface/transformers/blob/2b87fdac6c3ff6483eb4d8f98bbd4e1374ac4958/examples/flax/token-classification/run_flax_ner.py#L602

Like this `cur_step = (epoch * step_per_epoch) + (step + 1) `


Yes, exactly!