---
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window8-256
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K

This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0190

## 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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.84  | 4    | 0.6834          |
| No log        | 1.89  | 9    | 0.4899          |
| 0.6773        | 2.95  | 14   | 0.2752          |
| 0.6773        | 4.0   | 19   | 0.1311          |
| 0.3528        | 4.84  | 23   | 0.0812          |
| 0.3528        | 5.89  | 28   | 0.0477          |
| 0.1595        | 6.95  | 33   | 0.0289          |
| 0.1595        | 8.0   | 38   | 0.0229          |
| 0.1054        | 8.84  | 42   | 0.0213          |
| 0.1054        | 9.89  | 47   | 0.0281          |
| 0.0822        | 10.95 | 52   | 0.0190          |
| 0.0822        | 12.0  | 57   | 0.0240          |
| 0.076         | 12.63 | 60   | 0.0237          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2