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Fashion Images Perspectives Vit Large Patch16 384 v3

This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-perspectives-v2 dataset. It achieves the following results on the evaluation set: Loss: 0.1759 Accuracy: 0.9518

ArtOtherBasismodellgoogle/vit-large-patch16-384VersionRevision d7d000fBBewertung

Modellquelle

Art
Other
Dateigröße
1,13 GB
Basismodell
google/vit-large-patch16-384
Version
vRevision d7d000f
Aktualisiert
7. Okt. 2026
Downloads
11
Quelle
Hugging Face

Quellenbeschreibung

fashion-images-perspectives-vit-large-patch16-384-v3

This model is a fine-tuned version of google/vit-large-patch16-384 on the touchtech/fashion-images-perspectives-v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1759
  • Accuracy: 0.9518

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 LossEpochStepValidation LossAccuracy
0.17541.034230.17590.9518
0.11682.068460.22390.9499
0.04243.0102690.22230.9607
0.01654.0136920.22980.9627
0.00435.0171150.25140.9619

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.1.0+cu118
  • Datasets 3.3.2
  • Tokenizers 0.21.0

Quellen

1 Quelle
Hugging FacePrimärVersion d7d000f1171603b4fd758311c868dc919a3a6182
huggingface.co/touchtech/fashion-images-perspectives-vit-large-patch16-384-v3/tree/d7d000f1171603b4fd758311c868dc919a3a6182

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 1,13 GB · SHA-256 995b555cf8d0…0566 · Hugging Face

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Quellenauszüge

3 Auszüge

--- 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-perspectives-vit-large-patch16-384-v3 results: - task: name: Image Classification type: image-classification dataset: name: touchtech/fashion-images-perspectives-v2 type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.9517798013245033 --- <!-- 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-perspectives-vit-large-patch16-384-v3 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-perspectives-v2 dataset. It achieves the following results on the evaluation set: - Loss: 0.1759 - Accuracy: 0.9518 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.1754 | 1.0 | 3423 | 0.1759 | 0.9518 | | 0.1168 | 2.0 | 6846 | 0.2239 | 0.9499 | | 0.0424 | 3.0 | 10269 | 0.2223 | 0.9607 | | 0.0165 | 4.0 | 13692 | 0.2298 | 0.9627 | | 0.0043 | 5.0 | 17115 | 0.2514 | 0.9619 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.1.0+cu118 - Datasets 3.3.2 - Tokenizers 0.21.0

Source context: 11 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-384-v3

Source context: 1 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-384-v3