bert-case-chinese is not supported 
using bert-case-chinese as pre-trained model, but has this issue:

[NeMo I 2021-07-14 13:41:17 bert_module:54] Restoring weights from /data/cmrc2018/bert-base-chinese/pytorch_model.bin
Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py", line 198, in run_and_report
    return func()
  File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py", line 347, in <lambda>
    lambda: hydra.run(
  File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/hydra.py", line 107, in run
    return run_job(
  File "/opt/conda/lib/python3.8/site-packages/hydra/core/utils.py", line 127, in run_job
    ret.return_value = task_function(task_cfg)
  File "/tlt-nemo/nlp/question_answering/scripts/train.py", line 118, in main
  File "/opt/conda/lib/python3.8/site-packages/nemo/collections/nlp/models/question_answering/qa_model.py", line 61, in __init__
    self.bert_model = get_lm_model(
  File "/opt/conda/lib/python3.8/site-packages/nemo/collections/nlp/modules/common/lm_utils.py", line 92, in get_lm_model
    model.restore_weights(restore_path=checkpoint_file)
  File "/opt/conda/lib/python3.8/site-packages/nemo/collections/nlp/modules/common/bert_module.py", line 79, in restore_weights
    assert len(pretrained_dict) == len(model_dict)
AssertionError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/tlt-nemo/nlp/question_answering/scripts/train.py", line 140, in <module>
  File "/opt/conda/lib/python3.8/site-packages/nemo/core/config/hydra_runner.py", line 98, in wrapper
    _run_hydra(
  File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py", line 346, in _run_hydra
    run_and_report(
  File "/opt/conda/lib/python3.8/site-packages/hydra/_internal/utils.py", line 237, in run_and_report
    assert mdl is not None
AssertionError
2021-07-14 06:41:18,254 [INFO] tlt.components.docker_handler.docker_handler: Stopping container.





Training with TLT, backend is Nemo bugs

git clone https://huggingface.co/bert-base-chinese

tlt question_answering train \
                        -e /specs/question_answering/train_bert.txt \
                        -g 1  \
                        -k 'tlt_encode' \
                        -r /results/question_answering/train \
                        training_ds.file=/data/cmrc2018/squad-style-data/cmrc2018_train.json \
                        validation_ds.file=/data/cmrc2018/squad-style-data/cmrc2018_dev.json \
                        trainer.max_epochs=2 \
                        trainer.val_check_interval=1.0 \
                        training_ds.num_workers=4 \
                        validation_ds.num_workers=4

[train_bert.txt](https://github.com/NVIDIA/NeMo/files/6816666/train_bert.txt)

