Gurveer05/paligemma_vqa

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paligemma_vqa

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

• —Loss: 0.3475

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 368
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.45.0.dev0
• —Pytorch 2.4.0
• —Datasets 3.0.0
• —Tokenizers 0.19.1