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Fashion Images Pack Types Vit Large Patch16 224 In21k

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: 0.0343 Accuracy: 0.9894

ArtOtherBasismodellgoogle/vit-large-patch16-224-in21kVersionRevision 1643c96BBewertung

Modellquelle

Art
Other
Dateigröße
1,13 GB
Basismodell
google/vit-large-patch16-224-in21k
Version
vRevision 1643c96
Aktualisiert
6. Okt. 2026
Downloads
13
Quelle
Hugging Face

Quellenbeschreibung

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

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: 0.0343
  • Accuracy: 0.9894

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
0.15561.016760.04900.9861
0.11852.033520.03430.9894
0.08153.050280.05370.9882
0.05034.067040.03740.9915
0.04475.083800.03620.9915

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 1643c9640c51527fc7409a500b3451d57dc6b417
huggingface.co/touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k/tree/1643c9640c51527fc7409a500b3451d57dc6b417

Verifiziert 6. Okt.

Modellartefakte

1 Artefakt

pytorch_model.bin

bin · 1,13 GB · SHA-256 685d8022c9b9…59d8 · 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-pack-types-vit-large-patch16-224-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: 0.9894336432797971 --- <!-- 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 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: 0.0343 - Accuracy: 0.9894 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.1556 | 1.0 | 1676 | 0.0490 | 0.9861 | | 0.1185 | 2.0 | 3352 | 0.0343 | 0.9894 | | 0.0815 | 3.0 | 5028 | 0.0537 | 0.9882 | | 0.0503 | 4.0 | 6704 | 0.0374 | 0.9915 | | 0.0447 | 5.0 | 8380 | 0.0362 | 0.9915 | ### 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-pack-types-vit-large-patch16-224-in21k

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