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Fashion Images Pack Types Vit Large Patch16 224 In21k v3

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set: Loss: 0.0485 Accuracy: 0.9908

TipoOtherModelo basegoogle/vit-large-patch16-224-in21kVersãoRevision 4efad9dBnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
1,13 GB
Modelo base
google/vit-large-patch16-224-in21k
Versão
vRevision 4efad9d
Atualizado
6 de out. de 2026
Downloads
14
Fonte
Hugging Face

Descrição da fonte

fashion-images-pack-types-vit-large-patch16-224-in21k-v3

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0485
  • Accuracy: 0.9908

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 LossEpochStepAccuracyValidation Loss
0.16621.016960.97370.1074
0.1162.033920.98160.0545
0.0913.050880.98500.0647
0.06014.067840.05020.9887
0.04385.084800.04850.9908

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Fontes

1 fonte
Hugging FacePrimárioVersão 4efad9dc01b6304440081821ea2d20175854e2ce
huggingface.co/touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k-v3/tree/4efad9dc01b6304440081821ea2d20175854e2ce

Verificado 6 de out.

Artefatos de modelo

1 artefato

pytorch_model.bin

bin · 1,13 GB · SHA-256 d65e228d9555…1be7 · Hugging Face

Download file

Trechos de fonte

3 trechos

--- license: apache-2.0 base_model: google/vit-large-patch16-224-in21k tags: - image-classification - vision - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: fashion-images-pack-types-vit-large-patch16-224-in21k-v3 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: 0.9908103592314118 --- <!-- 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-vit-large-patch16-224-in21k-v3 This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set: - Loss: 0.0485 - Accuracy: 0.9908 ## 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 | Accuracy | Validation Loss | |:-------------:|:-----:|:----:|:--------:|:---------------:| | 0.1662 | 1.0 | 1696 | 0.9737 | 0.1074 | | 0.116 | 2.0 | 3392 | 0.9816 | 0.0545 | | 0.091 | 3.0 | 5088 | 0.9850 | 0.0647 | | 0.0601 | 4.0 | 6784 | 0.0502 | 0.9887 | | 0.0438 | 5.0 | 8480 | 0.0485 | 0.9908 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3

Source context: 14 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k-v3

Source context: 11 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k-v3