dual and softmax conf
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5
train.py
5
train.py
@@ -119,9 +119,14 @@ def extend_cfg(cfg):
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cfg.TRAINER.PROMPTSRC.PROMPT_DEPTH_VISION = 9 # Max 12, minimum 0, for 0 it will be using shallow IVLP prompting (J=1)
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cfg.TRAINER.PROMPTSRC.PROMPT_DEPTH_TEXT = 9 # Max 12, minimum 0, for 0 it will be using shallow IVLP prompting (J=1)
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cfg.TRAINER.PROMPTSRC.TEXT_LOSS_WEIGHT = 25
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cfg.TRAINER.PROMPTSRC.TEXT_LOSS_WEIGHT_STRONG = 25 # lambda2: strong text constraint weight
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cfg.TRAINER.PROMPTSRC.TEXT_LOSS_WEIGHT_WEAK = 2.5 # lambda3: weak text constraint weight
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cfg.TRAINER.PROMPTSRC.IMAGE_LOSS_WEIGHT = 10
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cfg.TRAINER.PROMPTSRC.GPA_MEAN = 15
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cfg.TRAINER.PROMPTSRC.GPA_STD = 1
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cfg.TRAINER.PROMPTSRC.CONFIDENCE_TYPE = "max_margin" # entropy, max_prob, margin, max_margin
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cfg.TRAINER.PROMPTSRC.CONFIDENCE_TEMPERATURE = 2.0 # temperature for confidence calculation
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cfg.TRAINER.PROMPTSRC.CONFIDENCE_MOMENTUM = 0.95 # momentum for running confidence
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cfg.DATASET.SUBSAMPLE_CLASSES = "all" # all, base or new
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# Config for independent Vision Language prompting (independent-vlp)
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