CVPROJ25/FINAL_FT_blur_vit_train_severity_4_subset_10000_balanced_ep-10_pat-4

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FINALFTblurvittrainseverity4subset10000balancedep-10_pat-4

This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1924
• —Accuracy: 0.717

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: 512
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.2.0
• —Pytorch 2.5.1
• —Datasets 4.6.1
• —Tokenizers 0.22.1