---
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: 0.0504

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.84  | 4    | 0.6306          |
| No log        | 1.89  | 9    | 0.4185          |
| 0.6216        | 2.95  | 14   | 0.2351          |
| 0.6216        | 4.0   | 19   | 0.1235          |
| 0.3128        | 4.84  | 23   | 0.0767          |
| 0.3128        | 5.89  | 28   | 0.0676          |
| 0.1492        | 6.95  | 33   | 0.0416          |
| 0.1492        | 8.0   | 38   | 0.0493          |
| 0.1011        | 8.42  | 40   | 0.0504          |


### Framework versions

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