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# vit-large-patch16-224-innmarksbeite

This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the innmarksbeite dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4114
- F1: 0.7857

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.6912        | 0.2703 | 10   | 0.7520          | 0.125  |
| 0.6629        | 0.5405 | 20   | 0.7228          | 0.1333 |
| 0.6437        | 0.8108 | 30   | 0.6779          | 0.1429 |
| 0.6342        | 1.0811 | 40   | 0.6240          | 0.25   |
| 0.4349        | 1.3514 | 50   | 0.5809          | 0.4211 |
| 0.4226        | 1.6216 | 60   | 0.5349          | 0.5714 |
| 0.39          | 1.8919 | 70   | 0.4766          | 0.6957 |
| 0.2352        | 2.1622 | 80   | 0.4342          | 0.75   |
| 0.1292        | 2.4324 | 90   | 0.4085          | 0.6957 |
| 0.2239        | 2.7027 | 100  | 0.4385          | 0.7407 |
| 0.1512        | 2.9730 | 110  | 0.4366          | 0.7857 |
| 0.0491        | 3.2432 | 120  | 0.3861          | 0.75   |
| 0.018         | 3.5135 | 130  | 0.3774          | 0.8462 |
| 0.0151        | 3.7838 | 140  | 0.3935          | 0.8462 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0

not innmarksbeite innmarksbeite