garment type classifier 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: 0.0711 Accuracy: 0.9789 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 train batch size: 32 eval batch size: 32 seed: 42 optimizer: Use OptimizerNames.ADAMW TORCH FUSED with betas=(0.9,0.999) and epsilon=1e 08 and optimizer args=No additional optimizer arguments lr scheduler type: linear lr scheduler warmup steps: 100 num epochs: 5 mixed precision training: Native AMP Training results Training Loss Epoch Step Validation Loss Accuracy : : : : : : : : : : 0.2114 1.0 319 0.1177 0.9639 0.1554 2.0 638 0.0863 0.9711 0.0960 3.0 957 0.0778 0.9744 0.0971 4.0 1276 0.0656 0.9783 0.0745 5.0 1595 0.0711 0.9789 Framework versions Transformers 5.12.1 Pytorch 2.11.0+cu128 Datasets 4.0.0 Tokenizers 0.22.2
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