text: Title: Error when running run_pretraining.py (error recorded from training loop: indices[] is not in ...)
  Body: I'm trying to create my own `.ckpt.model` file by running the `run_pretraining.py file` on Google Colab using this command :
  
  > !python run_pretraining.py \
  > --bert_config_file "../bert-multi-cased/bert_config.json" \
  > --input_file "../bert-model-custom/pretrain.tfrecord" \
  > --output_dir "../bert-model-custom" \
  > --init_checkpoint "../bert-multi-cased/bert_model.ckpt" \
  > --do_train True \
  > --train_batch_size 2
  
  but i encountered this error :
  
  > ....
  > INFO:tensorflow:Saving checkpoints for 0 into ../bert-model-custom/model.ckpt.
  > I0814 08:29:48.793563 140475286189952 basic_session_run_hooks.py:606] Saving checkpoints for 0 into ../bert-model-custom/model.ckpt.
  > ERROR:tensorflow:Error recorded from training_loop: indices[254] = 164930 is not in [0, 119547)
  > 	 [[node bert/embeddings/GatherV2 (defined at /content/bert/modeling.py:419) ]]
  
  I've read article somewhere this problem is becase vocabulary size outbounding issue, i mean the **164930** above is outbounding the **119547**, am i right?
  If it's right then where can i change the vocabulary size?
  
  Thankyou in advance,
  sorry for bad english.