Comments (5)
Hi, @gwkrsrch @logan-markewich . Seems that when the input size is set as [1024, 768], donut-proto works on finetuning, observed from the DONUT-base config that pretrain[2560x1920] -> finetuning[1280x960]. Does it make sense?
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@gwkrsrch , yes the above example notebook works well!
BTW, do you plan to release the donut-proto pretraining
YAML config file? I would like to train donut-proto from scratch on other datasets, so the example pretraining config file would help (e.g., optimizer settings). Thanks a lot!
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+1!
Also, if you ever have results for docvqa with donut-proto, I'd love to seem them 🥇
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Hi @Veason-silverbullet, yes it make sense :) The window size of donut-proto is 8, hence, there should be no problem if the size of each axis is set to a multiple of 256 (e.g., 768, 1024, 2048, etc).
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@Veason-silverbullet I made a toy example notebook about training and testing donut-proto
on CORD. You can see the colab notebook at this link. Hope this helps :)
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Related Issues (20)
- Does synthdog data has MiT or afl-3.0 license? HOT 1
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- custom json schema - ASAP HOT 2
- Multi GPU support for fine tuning
- How to extract complete text from the document? HOT 3
- confidence 값의 공식적인 지원
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- Not getting prediction correctly using the model trained on the custom dataset (similar format as CORD-V2 dataset) HOT 6
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- Donut generate ONLY <s><s>...<s></s> HOT 7
- Performance of the model HOT 1
- How to improve OCR accuracy for Japanese characters? HOT 2
- Early Stopping
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