jithinibosonreg/paligemma2_instance_segmentation_hand-picked-damage-classes7-24april-2025

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paligemma2instancesegmentation_hand-picked-damage-classes7-24april-2025

This model is a fine-tuned version of google/paligemma2-3b-pt-224 on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use adamwhf with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2
• —num_epochs: 1

Framework versions

• —PEFT 0.15.2
• —Transformers 4.47.0
• —Pytorch 2.1.1+cu121
• —Tokenizers 0.21.1