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First of all, thank you for your work!
Train on the Stanford Dogs Dataset
python train.py --init-lr 0 --progressive-resizing 224 224 --dataset-dir dataset/dogs --epochs 10000 --batch-size 32 --weights imagenet
Early stop at epoch 88 with the best_weight_EfficientNetB0_val_loss:0.018_val_acc:0.822_epoch:68.h5
best_weight_EfficientNetB0_val_loss:0.018_val_acc:0.822_epoch:68.h5
Which parameter should I choose to improve the performance?
Looking forward to your reply !
The text was updated successfully, but these errors were encountered:
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First of all, thank you for your work!
Train on the Stanford Dogs Dataset
Early stop at epoch 88 with the
best_weight_EfficientNetB0_val_loss:0.018_val_acc:0.822_epoch:68.h5
Which parameter should I choose to improve the performance?
Looking forward to your reply !
The text was updated successfully, but these errors were encountered: