Urgent issue with SAM3 fine-tuning: I enabled early stopping (patience: X epochs), but it never kicked in. Manual stop via dashboard left it hanging in “Stopping…” and credits kept draining!
Outcome: Entire monthly quota wiped out, plus 4x overconsumption! (Started with full credits, expected minimal use, now deeply negative.)
I’ve tried contacting:
Email support
X (@roboflow mention and chat)
No replies after several days. This is blocking my project badly.
Hello Tao.
I’m Tony, from Roboflow engineering team.
Didn’t look at your case yet. Just wanna tell you that I hear you and will start investigating.
Be back soon.
I refunded 34 credits regarding your failed training
bug confirmed. mid-train stop is not working properly for SAM3. We’re on it.
SAM3 finetuning is pretty resource-intensive. For faster training, I recommend rf-detr-seg which is also pretty good.
If you want to try out SAM3, I recommend starting with smaller datasets (~300-500 images) to get a feel for how the model behaves.
Important note: inference for finetuned SAM3 models doesn’t work in our hosted inference solution yet. But you can spin up a dedicated deployment or run our inference server yourlself (needs GPU-powered hardware)
