I created a windows VM where I have the BERT master, SQUAD, and BERT-large model. I tried to run the squad using this:
python run_squad.py \
--vocab_file=$BERT_LARGE_DIR/vocab.txt \
--bert_config_file=$BERT_LARGE_DIR/bert_config.json \
--init_checkpoint=$BERT_LARGE_DIR/bert_model.ckpt \
--do_train=True \
--train_file=$SQUAD_DIR/train-v2.0.json \
--do_predict=True \
--predict_file=$SQUAD_DIR/dev-v2.0.json \
--train_batch_size=24 \
--learning_rate=3e-5 \
--num_train_epochs=2.0 \
--max_seq_length=384 \
--doc_stride=128 \
--output_dir=gs://some_bucket/squad_large/ \
--use_tpu=True \
--tpu_name=$TPU_NAME \
--version_2_with_negative=True
It threw an error: googleapiclient.errors.HttpError: <HttpError 403 when requesting https://tpu.googleapis.com/v1alpha1/projects/projectname/locations/us-central1-a/nodes/testnode?alt=json returned "Request had insufficient authentication scopes.">
Is there a way to change the scope of existing VM to cloud-platform
after VM is created?