Open xyz-hcy opened 2 years ago
Dear authors: I use the same data and model to reproduce the following commands:
python trainSpeakerNet.py --model ResNetSE34Multi --modality rgb --log_input True --trainfunc angleproto --max_epoch 600 --batch_size 100 --nPerSpeaker 9 --max_frames 200 --eval_frames 200 --weight_decay 0.01 --seed 1 --save_path exps/rgb/exp1
The model training results are shown in the figure below. Loss decreases, TEER/TACC increases.The VEER of the validation set is stable at 27. What is the reason for the result? Thanks in advance.
Regards
hello,could i add you VX or QQ,i think i lost the trained model and train list,thank you very much QQ2250050388
Dear authors: I use the same data and model to reproduce the following commands:
The model training results are shown in the figure below. Loss decreases, TEER/TACC increases.The VEER of the validation set is stable at 27. What is the reason for the result? Thanks in advance.
Regards