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
Source du modèle
- Type
- Other
- Taille du fichier
- 1,13 GB
- Modèle de base
- google/vit-large-patch16-224-in21k
- Version
- vRevision 49933bb
- Mis à jour
- 6 oct. 2026
- Téléchargements
- 13
- Source
- Hugging Face
Description de la source
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 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
Sources
1 source
Sources
1 sourceVérifié 6 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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
