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Hi all,
I really impressed with your work and the performance of QueryInst so I am tried to train your work on my custom dataset. This dataset that I am successfully train on Swin Transformer. Unfortunately, I tried to train on your work so the loss values zero except loss_cls. Can you help me to solve that, I really appreciate it.
Hi all,
I really impressed with your work and the performance of QueryInst so I am tried to train your work on my custom dataset. This dataset that I am successfully train on Swin Transformer. Unfortunately, I tried to train on your work so the loss values zero except loss_cls. Can you help me to solve that, I really appreciate it.
[stage0_loss_cls: 0.0025, stage0_pos_acc0, stage4_loss_iou: 0.0000, stage4_loss_mask: 0.0000, stage5_loss_cls: 0.0024, stage5_pos_acc: 0.0000, stage5_loss_bbox: 0.0000, stage5_loss_iou: 0.0000, stage5_loss_mask: 0.0000,0.0000, stage1_loss_mask: 0.0000, stage2_loss_cls: 0.0012, stage2_pos_acc: 0.0000, stage2_loss_bbox: 0.0000, stage2_loss_iou: 0.0000, stage2_loss_mask: 0.0000, stage3_loss_cls: 0.0012, stage3_pos_acc: 0.0000, stage3_loss_bbox: 0.0000, stage3_loss_iou: 0.0000, stage3_loss_mask: 0.0000, stage4_loss_cls: 0.0010, stage4_pos_acc: 0.0000, stage4_loss_bbox: 0.000](lr: 1.499e-05, eta: 17:44:38, time: 0.620, data_time: 0.004, memory: 10924, stage0_loss_cls: 125712.0807, stage0_pos_acc: 0.0000, stage0_loss_bbox: 0.0000, stage0_loss_iou: 0.0000, stage0_loss_mask: 0.0000, stage1_loss_cls: 90232.6852, stage1_pos_acc: 0.0000, stage1_loss_bbox: 0.0000, stage1_loss_iou: 0.0000, stage1_loss_mask: 0.0000, stage2_loss_cls: 46718.8418, stage2_pos_acc: 0.0000, stage2_loss_bbox: 0.0000, stage2_loss_iou: 0.0000, stage2_loss_mask: 0.0000, stage3_loss_cls: 32931.4105, stage3_pos_acc: 0.0000, stage3_loss_bbox: 0.0000, stage3_loss_iou: 0.0000, stage3_loss_mask: 0.0000, stage4_loss_cls: 41905.0223, stage4_pos_acc: 0.0000, stage4_loss_bbox: 0.0000, stage4_loss_iou: 0.0000, stage4_loss_mask: 0.0000, stage5_loss_cls: 47268.3891, stage5_pos_acc: 0.0000, stage5_loss_bbox: 0.0000, stage5_loss_iou: 0.0000, stage5_loss_mask: 0.0000, loss: 384768.4313, grad_norm: 1482184.3400)
looking for your reply!
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