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Fashion Images Pack Types Vit Huge Patch14 224 In21k

This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set: Loss: 0.0436 Accuracy: 0.9890

TipoOtherModelo basegoogle/vit-huge-patch14-224-in21kVersiónRevision 90d1cd6Bcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
2,35 GB
Modelo base
google/vit-huge-patch14-224-in21k
Versión
vRevision 90d1cd6
Actualizado
6 oct 2026
Descargas
23
Fuente
Hugging Face

Descripción de la fuente

fashion-images-pack-types-vit-huge-patch14-224-in21k

This model is a fine-tuned version of google/vit-huge-patch14-224-in21k on the touchtech/fashion-images-pack-types dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0436
  • Accuracy: 0.9890

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 LossEpochStepValidation LossAccuracy
0.22921.016760.12930.9755
0.13762.033520.07690.9827
0.11223.050280.05650.9852
0.07594.067040.05010.9873
0.06785.083800.04360.9890

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Fuentes

1 fuente
Hugging FacePrincipalVersión 90d1cd6347e35d0d4f961dd6b76c5bd01bfd3b52
huggingface.co/touchtech/fashion-images-pack-types-vit-huge-patch14-224-in21k/tree/90d1cd6347e35d0d4f961dd6b76c5bd01bfd3b52

Verificado 6 oct

Artefactos del modelo

1 artefacto

pytorch_model.bin

bin · 2,35 GB · SHA-256 feb6e903aa8a…cec7 · Hugging Face

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Extractos de fuentes

3 extractos

--- 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-pack-types-vit-huge-patch14-224-in21k 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: 0.989010989010989 --- <!-- 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-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-pack-types dataset. It achieves the following results on the evaluation set: - Loss: 0.0436 - Accuracy: 0.9890 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.2292 | 1.0 | 1676 | 0.1293 | 0.9755 | | 0.1376 | 2.0 | 3352 | 0.0769 | 0.9827 | | 0.1122 | 3.0 | 5028 | 0.0565 | 0.9852 | | 0.0759 | 4.0 | 6704 | 0.0501 | 0.9873 | | 0.0678 | 5.0 | 8380 | 0.0436 | 0.9890 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3

Source context: 23 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-huge-patch14-224-in21k

Source context: 2 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-huge-patch14-224-in21k