Adding example with Finnish BERT fine-tuning for NER task
# 🚀 Feature request

Add an example in `/examples/token-classification`. The example consists in the fine-tuning of the Finnish BERT models (`bert-base-finnish-cased-v1` and `bert-base-finnish-uncased-v1`) with the FiNER dataset (https://github.com/mpsilfve/finer-data).

The example is similar to the already existing GermEval and WNUT'17 examples, but for Finnish language.

## Motivation

The fine-tuned model can be used to extract product, location, date, event, organization and person entities from Finnish sentences.
The scripts necessary for the fine-tuning are already available [here](https://github.com/bmichele/transformers/tree/finnish-ner). I would like to contribute to the transformer projects and get feedback from the community on this. Note that I submitted a PR but this was never reviewed and finally closed by stale bot (see https://github.com/huggingface/transformers/pull/3474).

## Your contribution

I can adapt the code in the closed PR in order to be merged in master.

Hi @bmichele , 
The `/examples/token-classification` is pretty generic, you won't need to add new example. If you process the data in the format expected by the example the you can pass the `bert-base-finnish-cased-v1` model using the model_name_or_path argument.

Hope this helps.<|||||>Hi @patil-suraj , thank you for your input.

As I mentioned in the issue, the example for Finnish is already implemented in this branch:
https://github.com/bmichele/transformers/tree/finnish-ner

The branch contains the scripts necessary to
 * download and preprocess the FiNER dataset
 * perform the fine-tuning

Moreover, I added the results in the readme file:
https://github.com/bmichele/transformers/blob/finnish-ner/examples/ner/README.md

I see that few months ago the WNUT’17 example was added, my question is if there is interest in merging also the Finnish example. If this is the case, I will take care of updating it so that it can be merged without conflicts and create a PR.<|||||>This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.
