fashion-images-perspectives-vit-large-patch16-224-in21k-v5
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: 0.2126
- Accuracy: 0.9337
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 |
---|---|---|---|---|
0.4216 | 1.0 | 3314 | 0.2535 | 0.9132 |
0.335 | 2.0 | 6628 | 0.4431 | 0.8677 |
0.291 | 3.0 | 9942 | 0.2126 | 0.9337 |
0.2059 | 4.0 | 13256 | 0.2816 | 0.9282 |
0.1943 | 5.0 | 16570 | 0.2531 | 0.9357 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 3.3.1
- Tokenizers 0.21.0
- Downloads last month
- 15
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v5
Base model
google/vit-large-patch16-224-in21kEvaluation results
- Accuracy on touchtech/fashion-images-perspectivesself-reported0.934