ebrukilic/paligemma_vqav2_vizwiz

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paligemmavqav2vizwiz

This model is a fine-tuned version of [ebrukilic/finetunedpaligemmavqav2] and this model's base model is: google/paligemma-3b-pt-448 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7363

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: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.18.0
• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.4.2
• —Tokenizers 0.22.1