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# stripes

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2177
- Accuracy: 0.9194

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.9032 | 7    | 0.6456          | 0.7742   |
| 0.6684        | 1.9355 | 15   | 0.4995          | 0.8629   |
| 0.4818        | 2.9677 | 23   | 0.3788          | 0.8629   |
| 0.3026        | 4.0    | 31   | 0.2881          | 0.9113   |
| 0.3026        | 4.9032 | 38   | 0.2530          | 0.9032   |
| 0.1806        | 5.9355 | 46   | 0.2359          | 0.9194   |
| 0.1161        | 6.9677 | 54   | 0.2288          | 0.9194   |
| 0.0894        | 8.0    | 62   | 0.2043          | 0.9435   |
| 0.0894        | 8.9032 | 69   | 0.2042          | 0.9355   |
| 0.0723        | 9.0323 | 70   | 0.2177          | 0.9194   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1

not_stripes stripes