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
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Model tree for touchtech/fashion-images-perspectives-vit-large-patch16-224-in21k-v3
Base model
google/vit-large-patch16-224-in21kEvaluation results
- Accuracy on touchtech/fashion-images-perspectivesself-reported0.925