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# sebastiansarasti

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5460
- Accuracy: 0.3786

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 52   | 1.4555          | 0.3301   |
| No log        | 2.0   | 104  | 1.4709          | 0.2621   |
| No log        | 3.0   | 156  | 1.4634          | 0.3107   |
| No log        | 4.0   | 208  | 1.6076          | 0.3301   |
| No log        | 5.0   | 260  | 1.4538          | 0.3592   |
| No log        | 6.0   | 312  | 1.5070          | 0.3981   |
| No log        | 7.0   | 364  | 1.5530          | 0.3689   |
| No log        | 8.0   | 416  | 1.4718          | 0.3398   |
| No log        | 9.0   | 468  | 1.4676          | 0.3495   |
| 1.4219        | 10.0  | 520  | 1.5460          | 0.3786   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "sebastiansarasti", "results": []}]}
transformers tensorboard safetensors vit image-classification generated_from_trainer base_model:google/vit-base-patch16-224 license:apache-2.0 autotrain_compatible endpoints_compatible region:us