littlexy/paligemma2_object_detection
02
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paligemma2objectdetection
This model is a fine-tuned version of google/paligemma2-3b-pt-448 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: 2e-05
- trainbatchsize: 1
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 16
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWHF with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 2
- num_epochs: 16
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1