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I encountered some issues while fine-tuning on my custom dataset (RLBench). The model performs well in the same scenarios as the training set, but the success rate drops to 0 in the test set. The test set scenarios are similar to those in the training set—the objects remain the same, but their positions or the colors of distracting objects are changed.
Task:close_jar—pick up the lid and place it on the jar
Variations: All 100 demos perform the same skill, but the target jar’s color, the distracting jar’s color, and the positions of objects in the scene vary.
Data preprocessing follows a process similar to the ManiSkill scripts.
Thank you for your excellent work.
I encountered some issues while fine-tuning on my custom dataset (RLBench). The model performs well in the same scenarios as the training set, but the success rate drops to 0 in the test set. The test set scenarios are similar to those in the training set—the objects remain the same, but their positions or the colors of distracting objects are changed.
Training Configuration:
256 × 256
front
close_jar
—pick up the lid and place it on the jarcheckpoint-132000
Training Curve:
Video:
train_success.mp4
test_fail.mp4
Do you have any insights into this issue? Thank you!
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