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Fashion Images Perspectives Vit Large Patch16 224 In21k

This model is a fine-tuned version of google/vit-large-patch16-224-in21k on the touchtech/fashion-images-perspectives dataset. It achieves the following results on the evaluation set: Loss: 0.2543 Accuracy: 0.9315

ArtOtherBasismodellgoogle/vit-large-patch16-224-in21kVersionRevision 49933bbBBewertung

Modellquelle

Art
Other
Dateigröße
1,13 GB
Basismodell
google/vit-large-patch16-224-in21k
Version
vRevision 49933bb
Aktualisiert
6. Okt. 2026
Downloads
13
Quelle
Hugging Face

Quellenbeschreibung

fashion-images-perspectives-vit-large-patch16-224-in21k

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

  • Loss: 0.2543
  • Accuracy: 0.9315

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
0.41641.030420.28680.9024
0.33912.060840.30550.9041
0.28363.091260.30710.9180
0.22924.0121680.25430.9315
0.18425.0152100.25620.9362

Framework versions

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

Quellen

1 Quelle
Hugging FacePrimärVersion 49933bb3c26b07bd895d45c2064aaa2835c74d25
huggingface.co/touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k/tree/49933bb3c26b07bd895d45c2064aaa2835c74d25

Verifiziert 6. Okt.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 1,13 GB · SHA-256 f935a686ab6f…1421 · Hugging Face

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Quellenauszüge

3 Auszüge

--- 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-perspectives-vit-large-patch16-224-in21k results: - task: name: Image Classification type: image-classification dataset: name: touchtech/fashion-images-perspectives type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.9315323707498836 --- <!-- 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-patch16-224-in21k 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-perspectives dataset. It achieves the following results on the evaluation set: - Loss: 0.2543 - Accuracy: 0.9315 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.4164 | 1.0 | 3042 | 0.2868 | 0.9024 | | 0.3391 | 2.0 | 6084 | 0.3055 | 0.9041 | | 0.2836 | 3.0 | 9126 | 0.3071 | 0.9180 | | 0.2292 | 4.0 | 12168 | 0.2543 | 0.9315 | | 0.1842 | 5.0 | 15210 | 0.2562 | 0.9362 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3

Source context: 13 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k

Source context: 12 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k