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Hi, thank you for sharing the model.
For the evaluation the line suggest to use 6144 for the embedding:
python eval.py --eval_msrvtt=1 --eval_youcook=1 --eval_lsmdc=1 --num_thread_reader=8 --embd_dim=6144 --pretrain_path=model/howto100m_pt_model.pth.
Is that indeed so, and how is it different to the 4096 recommended for the training:
python train.py --num_thread_reader=8 --epochs=15 --batch_size=32 --n_pair=64 --n_display=100 --embd_dim=4096 --checkpoint_dir=ckpt --features_path_2D=folder_for_2d_features --features_path_3D=folder_for_3d_features --train_csv=train.csv
?
Thank you.
The text was updated successfully, but these errors were encountered:
Hi, thank you for sharing the model.
For the evaluation the line suggest to use 6144 for the embedding:
python eval.py --eval_msrvtt=1 --eval_youcook=1 --eval_lsmdc=1 --num_thread_reader=8 --embd_dim=6144 --pretrain_path=model/howto100m_pt_model.pth.
Is that indeed so, and how is it different to the 4096 recommended for the training:
python train.py --num_thread_reader=8 --epochs=15 --batch_size=32 --n_pair=64 --n_display=100 --embd_dim=4096 --checkpoint_dir=ckpt --features_path_2D=folder_for_2d_features --features_path_3D=folder_for_3d_features --train_csv=train.csv
?
Thank you.
The text was updated successfully, but these errors were encountered: