Trouble with prediction refinement

[aidanpriceUON]

I've been trying to get a model working for bottom-up recording and tracking of a mouse, with intentions of being able to automatically record grooming and rearing behaviours. However, on output A-SOiD predicts that 99.9% of videos are rearing. During refinement, examples of rearing are quite large as most the video is considered rearing, and after long attempts at refining the behaviour the outputs are all still rearing. Any suggestions on how to stop the model from biasing rearing? I've attached configurations/outputs.