Fashion Images Pack Types Vit Large Patch16 224 In21k v3
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: 0.0485 Accuracy: 0.9908
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,13 GB
- Modelo base
- google/vit-large-patch16-224-in21k
- Versión
- vRevision 4efad9d
- Actualizado
- 6 oct 2026
- Descargas
- 14
- Fuente
- Hugging Face
Descripción de la fuente
fashion-images-pack-types-vit-large-patch16-224-in21k-v3
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: 0.0485
- Accuracy: 0.9908
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 | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.1662 | 1.0 | 1696 | 0.9737 | 0.1074 |
| 0.116 | 2.0 | 3392 | 0.9816 | 0.0545 |
| 0.091 | 3.0 | 5088 | 0.9850 | 0.0647 |
| 0.0601 | 4.0 | 6784 | 0.0502 | 0.9887 |
| 0.0438 | 5.0 | 8480 | 0.0485 | 0.9908 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 6 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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-v3 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: 0.9908103592314118 --- <!-- 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-v3 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: 0.0485 - Accuracy: 0.9908 ## 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 | Accuracy | Validation Loss | |:-------------:|:-----:|:----:|:--------:|:---------------:| | 0.1662 | 1.0 | 1696 | 0.9737 | 0.1074 | | 0.116 | 2.0 | 3392 | 0.9816 | 0.0545 | | 0.091 | 3.0 | 5088 | 0.9850 | 0.0647 | | 0.0601 | 4.0 | 6784 | 0.0502 | 0.9887 | | 0.0438 | 5.0 | 8480 | 0.0485 | 0.9908 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3
Source context: 14 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k-v3
Source context: 11 downloads · 1 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-pack-types-vit-large-patch16-224-in21k-v3
