Unused weights from saved model

[xixiaoyao]

I run convert.py to convert albert tensorhub model to TF2.0 model with following commands

MODEL_DIR=albert-base
SIZE=base

# Converting weights to TF 2.0
python converter.py --tf_hub_path=${MODEL_DIR}/ --model_type=albert_encoder --version=2 --model=${SIZE}
# Copy albert_config.json to config.json
cp ${MODEL_DIR}/assets/albert_config.json ${MODEL_DIR}/config.json
# Rename assets to vocab
mv ${MODEL_DIR}/assets/ ${MODEL_DIR}/vocab

however, at the end of converting, it shows following messages

Done loading 25 ALBERT weights from: pretrain/albert-base-v2// into <albert.AlbertModel object at 0x7f393e172b00> (prefix:albert). Count of weights not found in the checkpoint was: [0]. Count of weights with mismatched shape: [0]
Unused weights from saved model: 
	cls/predictions/output_bias
	cls/predictions/transform/LayerNorm/beta
	cls/predictions/transform/LayerNorm/gamma
	cls/predictions/transform/dense/bias
	cls/predictions/transform/dense/kernel

Is this message showed convert success?

[kamalkraj]

yes