Fashion Images Gender Age Vit Huge Patch14 224 In21k

--- license: apache-2.0 base_model: google/vit-huge-patch14-224-in21k tags: - image-classification - vision - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: fashion-images-gender-age-vit-huge-patch14-224-in21k results: - task: name: Image Classification type: image-classification dataset: name: touchtech/fashion-images-gender-age type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.9894736842105263 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # fashion-images-gender-age-vit-huge-patch14-224-in21k This model is a fine-tuned version of [google/vit-huge-patch14-224-in21k](https://huggingface.co/google/vit-huge-patch14-224-in21k) on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set: - Loss: 0.0346 - Accuracy: 0.9895 ## 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 - train_batch_size: 8 - eval_batch_size: 8 - seed: 1337 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.1848 | 1.0 | 2422 | 0.0777 | 0.9798 | | 0.1055 | 2.0 | 4844 | 0.0708 | 0.9819 | | 0.0949 | 3.0 | 7266 | 0.0440 | 0.9877 | | 0.08 | 4.0 | 9688 | 0.0373 | 0.9883 | | 0.063 | 5.0 | 12110 | 0.0346 | 0.9895 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3

Source context: 20 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-gender-age-vit-huge-patch14-224-in21k

Source context: 15 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-gender-age-vit-huge-patch14-224-in21k