SumitAST/paligemma_clevr

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paligemma_clevr

This model is a fine-tuned version of leo009/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4210

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: 3
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 12
• —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: 2

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.48.0
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0