Fashion Images Perspectives 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-perspectives dataset. It achieves the following results on the evaluation set: Loss: 0.2419 Accuracy: 0.9246
Model source
- Kind
- Other
- File size
- 1.13 GB
- Base model
- google/vit-large-patch16-224-in21k
- Version
- vRevision 4412eff
- Updated
- Oct 6, 2026
- Downloads
- 5
- Source
- Hugging Face
Source description
fashion-images-perspectives-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-perspectives dataset. It achieves the following results on the evaluation set:
- Loss: 0.2419
- Accuracy: 0.9246
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 |
|---|---|---|---|---|
| 0.4353 | 1.0 | 3070 | 0.3395 | 0.8812 |
| 0.3415 | 2.0 | 6140 | 0.2544 | 0.9192 |
| 0.2689 | 3.0 | 9210 | 0.2419 | 0.9246 |
| 0.2525 | 4.0 | 12280 | 0.2953 | 0.9192 |
| 0.1977 | 5.0 | 15350 | 0.2444 | 0.9356 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
Sources
1 source
Sources
1 sourceVerified Oct 6
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
3 excerpts
Source excerpts
3 excerpts--- 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-v3 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: 0.92455006922012 --- <!-- 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-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-perspectives dataset. It achieves the following results on the evaluation set: - Loss: 0.2419 - Accuracy: 0.9246 ## 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 | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.4353 | 1.0 | 3070 | 0.3395 | 0.8812 | | 0.3415 | 2.0 | 6140 | 0.2544 | 0.9192 | | 0.2689 | 3.0 | 9210 | 0.2419 | 0.9246 | | 0.2525 | 4.0 | 12280 | 0.2953 | 0.9192 | | 0.1977 | 5.0 | 15350 | 0.2444 | 0.9356 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3
Source context: 5 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v3
Source context: 2 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v3
