jithinibosonreg/paligemma2_instance_segmentation_71_car_damage
03
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paligemma2instancesegmentation71car_damage
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: 5e-05
- trainbatchsize: 2
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 8
- 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
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.47.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.21.1