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I want to use beit train ade20k with input size 768 x 768，can I only change the input size according to official configs? Do I need to change anything else？
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BEiT supports grad accum during fine-tuning, but not during pretraining. I've implemented it during pre-training (in `engine_for_pretraining.py`) by following the authors' fine-tuning implementation (…
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Traceback (most recent call last):
File "train.py", line 207, in
main()
File "train.py", line 203, in main
meta=meta)
File "/opt/conda/envs/vit_37/lib/python3.7/site-packages/mmdet…
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Hi,
How are the models pretrained? I notice that custom architectures like injector and extractors require rewriting the model, so I'm assuming you pretrained the model yourself?
If that's correct, …
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As claimed in the section 2.2 of BeiT, "Moreover, we prepend a special token [S] to the input sequence.''
But at the finetuning stage, "Specifically, we use average pooling to aggregate the repres…
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Could you release the results of BEiT-B+UperNet on cocostuff-10k and pascal context?
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Hi there, I tried running the fast transformer on all-mpnet-base-v2 and also multi-qa-mpnet-base-cos-v1 and got an error:
Encoder=SentenceTransformer("all-mpnet-base-v2",device='cpi',quantize=True)
…