Paddle OCR fine-tuning to customized dataset #13819
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Global:
Architecture: Loss:
Optimizer: PostProcess: Metric: Train: Eval: |
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I think you should use the knowledge distillation training process to fine-tune the model, but if you do not need to perform knowledge distillation on the model, you should reselect the yaml configuration file. |
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Dear Paddle Community,
I am currently performing fine-tuning on text detection for paddle OCR on customized dataset. I have shared my YML file for your perusal.
Meaning which of the files do I have to use to convert the fine-tuned text detection model into a inference model? Which python script do I have to use for it?
Apologies for questions but I request guidance at your earliest convenience!
Best Regards
Adhitya
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