Comments (1)
@abhinavagarwalla I haven't test with this dataset, you could try the hyper-parameters which stated in the paper
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Related Issues (20)
- I don't know how part of the code works
- Pretrained model load error HOT 3
- question about learning rate HOT 2
- Data augmentation in linear evaluation HOT 1
- results reported in your repo are finetuning and not linear evalaution HOT 1
- Question about linear finetune HOT 1
- Useless download link! HOT 1
- How can I perform data enhancement for other data sets? HOT 1
- what does total_num*100 mean HOT 1
- 下游任务训练的数据量 HOT 1
- Calculation of Loss in train() seems wrong? HOT 2
- DataParrallel to avoid memory issue HOT 4
- Why no upscale back to original size in augmentations? HOT 1
- Training HOT 1
- Pretrain model HOT 1
- loss function problem HOT 2
- Question about positive similarity in training process
- Batch size doesn't affect HOT 1
- Hello. How long did it take to pretrain your model with an NVIDIA TESLA V100(32G) GPU? HOT 1
- Problem in dictionary keys
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