structure fine-tuning issue

[tzktok]

Hi, I am trying to fine tune the the table structure over on TATR-v1.1-All-msft.pth model...In my dataset i provide an 50 images for finetune...i am getting below training metrics...

(tables-detr) PS E:\table-transformer\src> python main.py --data_type structure --config_file structure_config.json --data_root_dir data_set --model_load_path TATR-v1.1-All-msft.pth --epochs 50  --mode train --model_save_dir fina
l_model --load_weights_only

pubmed: AP50: 0.811, AP75: 0.637, AP: 0.602, AR: 0.713
Total training time:  0:02:20.607232

How to increase the training accuracy more...i am using default structure config..In dataset how many images needed to get more better result..

@bsmock @dnfclas

[YingxuanW]

I just saw someone use 1k datas to fine-tuning the detection model.

[YingxuanW]

Hi, I am trying to fine tune the the table structure over on TATR-v1.1-All-msft.pth model...In my dataset i provide an 50 images for finetune...i am getting below training metrics...

(tables-detr) PS E:\table-transformer\src> python main.py --data_type structure --config_file structure_config.json --data_root_dir data_set --model_load_path TATR-v1.1-All-msft.pth --epochs 50  --mode train --model_save_dir fina
l_model --load_weights_only

pubmed: AP50: 0.811, AP75: 0.637, AP: 0.602, AR: 0.713
Total training time:  0:02:20.607232

How to increase the training accuracy more...i am using default structure config..In dataset how many images needed to get more better result..

@bsmock @dnfclas

Can you please tell me how did you prepare your fine-tuning datas? I also need to fine-tune thee table-structure model!