TransparentBagClassifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0411
- Accuracy: 0.9955
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 |
|---|---|---|---|---|
| 0.0694 | 1.0 | 158 | 0.0719 | 0.9821 |
| 0.0871 | 2.0 | 316 | 0.0411 | 0.9955 |
| 0.0561 | 3.0 | 474 | 0.0419 | 0.9910 |
| 0.0673 | 4.0 | 632 | 0.0424 | 0.9865 |
| 0.0099 | 5.0 | 790 | 0.0517 | 0.9821 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cpu
- Datasets 3.0.0
- Tokenizers 0.19.1
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Base model
google/vit-base-patch16-224-in21k