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moon-detector-v5
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: 0.0238
- Accuracy: 0.9950
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 |
|---|---|---|---|---|
| 0.0548 | 1.0 | 281 | 0.0616 | 0.9798 |
| 0.1366 | 2.0 | 562 | 0.0340 | 0.9899 |
| 0.0218 | 3.0 | 843 | 0.0430 | 0.9874 |
| 0.0403 | 4.0 | 1124 | 0.0406 | 0.9874 |
| 0.0184 | 5.0 | 1405 | 0.0238 | 0.9950 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.3
