Comments (1)
Hi, thanks for your questions. I just checked my experiment records. 60k~120k training iters are usually good choices, so your model may be undertrained. Moreover, the performance is also sensitive to CLIP_ENSEMBLE_WEIGHT
, you may also want to tune it a little bit to achieve the best results.
Thanks! I closed the issue. Feel free to reopen it if you have further questions.
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Related Issues (20)
- d2.engine.defaults]: No evaluator found. Use `DefaultTrainer.test(evaluators=)`, or implement its `build_evaluator` method. HOT 2
- Download data error! HOT 1
- Release under a license for commercial use? HOT 2
- PATH_TO_MASKADAPTED_CLIP HOT 3
- swin_base_patch4_window12_384_22k.pkl HOT 3
- Why can't support 'CLIP_ENSEMBLE_WEIGHT > 0' using 'R101c + CLIP-ViT-B/16' in demo.py HOT 3
- Finetuning CLIP HOT 1
- SAM+Mask_adapted CLIP HOT 1
- demo.py HOT 1
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- Details about using SAM HOT 2
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- How can we access the pre-trained models?
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