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
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,13 GB
- Modelo base
- google/vit-large-patch16-384
- Versión
- vRevision d7d000f
- Actualizado
- 7 oct 2026
- Descargas
- 11
- Fuente
- Hugging Face
Descripción de la fuente
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 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
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 7 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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
