CrackDetectionLowRes
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:
- Accuracy: 0.9940
- Loss: 0.0183
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 |
|---|---|---|---|---|
| 0.0126 | 1.0 | 992 | 0.9879 | 0.0344 |
| 0.0788 | 2.0 | 1904 | 0.9933 | 0.0220 |
| 0.1336 | 3.0 | 2856 | 0.9933 | 0.0222 |
| 0.0066 | 4.0 | 3808 | 0.9933 | 0.0190 |
| 0.0528 | 5.0 | 4760 | 0.9940 | 0.0183 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cpu
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for Taki3d/CrackDetectionLowRes
Base model
google/vit-base-patch16-224-in21k