allsky-stars-detected-v2
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: 0.0171
- Accuracy: 0.9948
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: 1339
- optimizer: Use OptimizerNames.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 |
|---|---|---|---|---|
| 0.0394 | 1.0 | 270 | 0.0407 | 0.9895 |
| 0.0973 | 2.0 | 540 | 0.0709 | 0.9843 |
| 0.0057 | 3.0 | 810 | 0.0425 | 0.9869 |
| 0.0403 | 4.0 | 1080 | 0.0499 | 0.9869 |
| 0.0608 | 5.0 | 1350 | 0.0171 | 0.9948 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.0+cpu
- Datasets 3.0.1
- Tokenizers 0.21.0
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Model tree for ppicazo/allsky-stars-detected-v2
Base model
google/vit-base-patch16-224-in21k