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Hi @mx-mark
Do you have a log file for experiment of ViViT fine-tuning with Imagenet-21k pre-train weights?
I am referring to following experiment:
python model_pretrain.py -lr 0.005 -epoch 30 -batch_size 8 -num_workers 4 -num_frames 16 -frame_interval 16 -num_class 400 \ -arch 'vivit' -attention_type 'fact_encoder' -optim_type 'sgd' -lr_schedule 'cosine' \ -objective 'supervised' -root_dir $ROOT_DIR -train_data_path $TRAIN_DATA_PATH \ -val_data_path $VAL_DATA_PATH -pretrain_pth $PRETRAIN_WEIGHTS -weights_from 'imagenet'
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