@BryanPlummer
your pre-trained model provide a compatibility AUC of 0.88 and fill-in-the-blank accuracy of 57.6
the following command?
python main.py --name {your experiment name} --learned --l2_embed
but as i can't got this result. when i set embed_size=128,the result is :test set: Compat AUC: 0.87 FITB: 57.0 at the first epoch.
also,i have found the image similar loss is wrong:
calculate image similarity loss on the general embedding
@BryanPlummer your pre-trained model provide a compatibility AUC of 0.88 and fill-in-the-blank accuracy of 57.6 the following command? python main.py --name {your experiment name} --learned --l2_embed
but as i can't got this result. when i set embed_size=128,the result is :test set: Compat AUC: 0.87 FITB: 57.0 at the first epoch.
also,i have found the image similar loss is wrong:
calculate image similarity loss on the general embedding
i think it should be like this,as the sample y and z is the same type.
calculate image similarity loss on the general embedding