Fashion Images Pack Types

--- license: apache-2.0 base_model: google/vit-base-patch16-224-in21k tags: - image-classification - vision - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: fashion-images-pack-types results: - task: name: Image Classification type: image-classification dataset: name: touchtech/fashion-images-pack-types type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.9915469146238377 --- <!-- 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-pack-types This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set: - Loss: 0.0395 - Accuracy: 0.9915 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.2045 | 1.0 | 1676 | 0.1156 | 0.9734 | | 0.1241 | 2.0 | 3352 | 0.0775 | 0.9810 | | 0.1048 | 3.0 | 5028 | 0.0551 | 0.9873 | | 0.0675 | 4.0 | 6704 | 0.0395 | 0.9915 | | 0.0609 | 5.0 | 8380 | 0.0398 | 0.9911 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3

Source context: 9 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types

Source context: 2 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types