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Readme for HooshvareLab/bert-base-parsbert-armananer-uncased

Readme for HooshvareLab/bert-base-parsbert-peymaner-uncased

mBERT results added regarding NER datasets!

* fix bug

* add more tests

* Fix longformer attention mask casting when using apex

* remove extra type casting

* better api

* improve automatic setting of global attention mask

* fix longformer bug

* fix global attention mask in test

* fix global attn mask flatten

* fix slow tests

* update docstring

* update docs and make more robust

* improve attention mask

Change the example code to use encode_plus since the token_type_id
wasn't being correctly set.

* add multiple choice for longformer

* add models to docs

* adapt docstring

* add test to longformer

* add longformer for mc in init and modeling auto

* fix tests

* fix longformer model names in examples

* a better name for the notebook

* gpt2 typo

* Add files via upload

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* adding freeze roberta models

* model cards

* lint

* improve memory benchmarking

* correct typo

* fix current memory

* check torch memory allocated

* better pytorch function

* add total cached gpu memory

* add total gpu required

* improve torch gpu usage

* update memory usage

* finalize memory tracing

* save intermediate benchmark class

* fix conflict

* improve benchmark

* improve benchmark

* finalize

* make style

* improve benchmarking

* correct typo

* make train function more flexible

* fix csv save

* better repr of bytes

* better print

* fix __repr__ bug

* finish plot script

* rename plot file

* delete csv and small improvements

* fix in plot

* fix in plot

* correct usage of timeit

* remove redundant line

* remove redundant line

* fix bug

* add hf parser tests

* add versioning and platform info

* make style

* add gpu information

* ensure backward compatibility

* finish adding all tests

* Update src/transformers/benchmark/benchmark_args.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update src/transformers/benchmark/benchmark_args_utils.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* delete csv files

* fix isort ordering

* add out of memory handling

* add better train memory handling
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* LongformerForSequenceClassification

* better naming x=>hidden_states, fix typo in doc

* Update src/transformers/modeling_longformer.py

* Update src/transformers/modeling_longformer.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* per_device instead of per_gpu/error thrown when argument unknown

* [docs] Restore examples.md symlink

* Correct absolute links so that symlink to the doc works correctly

* Update src/transformers/hf_argparser.py
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Warning + reorder

* Docs

* Style

* not for squad
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

HooshvareLab/bert-base-parsbert-uncased

Co-authored-by: kldarek <darekmail>

Model card for cased model

The option `--do_lower_case` is currently required by the uncased models (i.e., bert-base-uncased, bert-large-uncased).

Results:
BERT-BASE without --do_lower_case:  'exact': 73.83, 'f1': 82.22
BERT-BASE with --do_lower_case:  'exact': 81.02, 'f1': 88.34

Here I am uploading Mongolian masked language model (ALBERT) on your platform.
https://en.wikipedia.org/wiki/Mongolia

* updated aubmindlab/bert-base-arabert/ Model card

* updated aubmindlab/bert-base-arabertv01 model card

Add language metadata, training and evaluation corpora details.
Add example output. Fix inconsistent use of quotes.