Fashion Images Gender Age Vit Large Patch16 384 v1

--- library_name: transformers license: apache-2.0 base_model: google/vit-large-patch16-384 tags: - image-classification - vision - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: fashion-images-gender-age-vit-large-patch16-384-v1 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: 0.9950980392156863 --- <!-- 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-large-patch16-384-v1 This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set: - Loss: 0.0306 - Accuracy: 0.9951 ## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.084 | 1.0 | 2457 | 0.0423 | 0.9905 | | 0.0233 | 2.0 | 4914 | 0.0353 | 0.9928 | | 0.009 | 3.0 | 7371 | 0.0404 | 0.9942 | | 0.0056 | 4.0 | 9828 | 0.0312 | 0.9951 | | 0.0 | 5.0 | 12285 | 0.0306 | 0.9951 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.6.0+cu124 - Datasets 3.3.2 - Tokenizers 0.21.0

Source context: 383 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-gender-age-vit-large-patch16-384-v1

Source context: 488 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-gender-age-vit-large-patch16-384-v1