Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Fashion Images Perspectives Vit Large Patch16 224 In21k v4

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: 0.2203 Accuracy: 0.9434

ArtOtherBasismodellgoogle/vit-large-patch16-224-in21kVersionRevision 2cb1342BBewertung

Modellquelle

Art
Other
Dateigröße
1,13 GB
Basismodell
google/vit-large-patch16-224-in21k
Version
vRevision 2cb1342
Aktualisiert
6. Okt. 2026
Downloads
18
Quelle
Hugging Face

Quellenbeschreibung

fashion-images-perspectives-vit-large-patch16-224-in21k-v4

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: 0.2203
  • Accuracy: 0.9434

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
0.42751.030810.30640.9011
0.35552.061620.30970.9103
0.30693.092430.30360.9106
0.24494.0123240.22680.9377
0.23395.0154050.22030.9434

Framework versions

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

Quellen

1 Quelle
Hugging FacePrimärVersion 2cb1342d44459f10c83b8cc87d5b249e69d27018
huggingface.co/touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v4/tree/2cb1342d44459f10c83b8cc87d5b249e69d27018

Verifiziert 6. Okt.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 1,13 GB · SHA-256 eb68e96e13aa…224b · Hugging Face

Download file

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-v4 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: 0.9434482758620689 --- <!-- 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-v4 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: 0.2203 - Accuracy: 0.9434 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.4275 | 1.0 | 3081 | 0.3064 | 0.9011 | | 0.3555 | 2.0 | 6162 | 0.3097 | 0.9103 | | 0.3069 | 3.0 | 9243 | 0.3036 | 0.9106 | | 0.2449 | 4.0 | 12324 | 0.2268 | 0.9377 | | 0.2339 | 5.0 | 15405 | 0.2203 | 0.9434 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3

Source context: 18 downloads · 3 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v4

Source context: 10 downloads · 3 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v4