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I am finetuning en_PP-OCRv4_rec_train. The inference model gives around 90-95% accuracy on my dataset, I was hoping to do finetuning to sort out some minor issue recognizing the difference between D and O. However, when I run finetuning, the model accuracy starts from 0.
I know the pretrained model is correctly loading:
load pretrain successful from C:/Users/scott/anaconda3/envs/paddleocr/Lib/site-packages/PaddleOCR/pretrain_model/en_PP-OCRv4_rec_train/best_accuracy
I downloaded the training files directly from this Git and un-tarred it using 7zip. The model accuracy does climb throughout training and the evaluation accuracy eventually gets to around 75%. This is worse than the standard PP-OCRv4 inference model. I really would like to just finetune the model instead of retraining the whole thing. Any ideas?
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Hello,
I am finetuning en_PP-OCRv4_rec_train. The inference model gives around 90-95% accuracy on my dataset, I was hoping to do finetuning to sort out some minor issue recognizing the difference between D and O. However, when I run finetuning, the model accuracy starts from 0.
I know the pretrained model is correctly loading:
load pretrain successful from C:/Users/scott/anaconda3/envs/paddleocr/Lib/site-packages/PaddleOCR/pretrain_model/en_PP-OCRv4_rec_train/best_accuracy
I downloaded the training files directly from this Git and un-tarred it using 7zip. The model accuracy does climb throughout training and the evaluation accuracy eventually gets to around 75%. This is worse than the standard PP-OCRv4 inference model. I really would like to just finetune the model instead of retraining the whole thing. Any ideas?
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