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# allsky-stars-detected

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0255
- Accuracy: 0.9952

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0436        | 1.0   | 148  | 0.0582          | 0.9809   |
| 0.0121        | 2.0   | 296  | 0.0405          | 0.9904   |
| 0.0112        | 3.0   | 444  | 0.0383          | 0.9856   |
| 0.01          | 4.0   | 592  | 0.0270          | 0.9952   |
| 0.0098        | 5.0   | 740  | 0.0255          | 0.9952   |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.0+cpu
- Datasets 3.0.1
- Tokenizers 0.21.0

no_stars stars