how about use Cnn14_8k_mAP=0.438.pth

[herbiel]

CHECKPOINT_PATH="Cnn14_16k_mAP=0.438.pth" # Trained by a later code version, achieves higher mAP than the paper.
wget -O $CHECKPOINT_PATH https://zenodo.org/record/3987831/files/Cnn14_16k_mAP%3D0.438.pth?download=1
MODEL_TYPE="Cnn14_16k"
CUDA_VISIBLE_DEVICES=0 python3 pytorch/inference.py audio_tagging
--sample_rate=16000
--window_size=512
--hop_size=160
--mel_bins=64
--fmin=50
--fmax=8000
--model_type=$MODEL_TYPE
--checkpoint_path=$CHECKPOINT_PATH
--audio_path='resources/R9_ZSCveAHg_7s.wav'
--cuda

what's value i need to change ?
--window_size=512
--hop_size=160
--mel_bins=64
--fmin=50
--fmax=8000 \