Question about the configuration of the specific training batchsize for each model

[HuCaoFighting]

Thanks for your good work! I am very interested in this paper. In order to better reproduce the results in the paper. Can you share the specific training batch size configuration information for each Model ?

[aelnouby]

Thanks for your question.

The code shared in the repo should reproduce the results from the paper, including the configurations and the example commands. To answer your question:

• For Image Classification, all our experiments used a batch size of 1024.
• For semantic segmentation and object detection, all experiments were trained using batch size of 16 on 8 GPUs (2 images per GPU).

Please let me know if you have any more questions.

[HuCaoFighting]

Good job!
I'm confused by how XCIT's Flops is calculated. Since the number of FLOPS I calculated using the library provided by MMCV does not correspond to the number in your paper, can you provide the calculation code for XCIT's Flops? So that a fair comparison can be made.

[HuCaoFighting]

Hello, Can you provide more details about how to finetune the model on 384 resolution, (eg lr, batchsize, epoch)?