JoshuaKelleyDs/quickdraw-ViT-base-finetune

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quickdraw-ViT-base-finetune

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

• —Loss: 0.8260
• —Accuracy: 0.7892

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: 0.0008
• —trainbatchsize: 512
• —evalbatchsize: 512
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10000
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.2.1
• —Datasets 2.19.1
• —Tokenizers 0.19.1