---
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12-192-22k
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: kaggle22
  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. -->

# kaggle22

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-base-patch4-window12-192-22k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1484
- Accuracy: 0.7132

## 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: 0.005
- train_batch_size: 512
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 70.0

### Training results

| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 9.5189        | 1.0   | 1313  | 0.0002   | 9.4097          |
| 9.1635        | 2.0   | 2626  | 0.0006   | 9.0418          |
| 8.3432        | 3.0   | 3939  | 0.0065   | 7.8454          |
| 6.9913        | 4.0   | 5252  | 0.0489   | 6.3118          |
| 5.5048        | 5.0   | 6565  | 0.1423   | 4.9493          |
| 4.6895        | 6.0   | 7878  | 0.2450   | 3.9601          |
| 3.8881        | 7.0   | 9191  | 0.3136   | 3.4186          |
| 3.391         | 8.0   | 10504 | 0.3766   | 2.9798          |
| 3.0887        | 9.0   | 11817 | 0.4221   | 2.7054          |
| 2.7935        | 10.0  | 13130 | 0.4552   | 2.5013          |
| 2.5629        | 11.0  | 14443 | 0.4804   | 2.3581          |
| 2.3777        | 12.0  | 15756 | 0.4809   | 2.3543          |
| 2.2264        | 13.0  | 17069 | 0.5179   | 2.1632          |
| 2.0932        | 14.0  | 18382 | 0.5219   | 2.1362          |
| 1.9667        | 15.0  | 19695 | 0.5591   | 1.9567          |
| 1.8788        | 16.0  | 21008 | 0.5610   | 1.9347          |
| 1.7705        | 17.0  | 22321 | 0.5684   | 1.9483          |
| 1.7089        | 18.0  | 23634 | 0.5791   | 1.8928          |
| 1.6068        | 19.0  | 24947 | 0.5855   | 1.8435          |
| 1.5572        | 20.0  | 26260 | 0.5880   | 1.8408          |
| 1.4938        | 21.0  | 27573 | 0.6110   | 1.7413          |
| 1.4182        | 22.0  | 28886 | 0.6155   | 1.7196          |
| 1.3784        | 23.0  | 30199 | 0.6238   | 1.7105          |
| 1.3578        | 24.0  | 31512 | 0.6176   | 1.7759          |
| 1.2763        | 25.0  | 32825 | 0.6219   | 1.7365          |
| 1.2484        | 26.0  | 34138 | 0.6199   | 1.7483          |
| 1.1936        | 27.0  | 35451 | 0.6314   | 1.7003          |
| 1.1499        | 28.0  | 36764 | 0.6247   | 1.7399          |
| 1.1418        | 29.0  | 38077 | 0.6317   | 1.7091          |
| 1.0895        | 30.0  | 39390 | 0.6383   | 1.7166          |
| 1.0706        | 31.0  | 40703 | 0.6374   | 1.7384          |
| 1.0541        | 32.0  | 42016 | 0.6409   | 1.7336          |
| 1.0013        | 33.0  | 43329 | 0.6451   | 1.7185          |
| 0.9811        | 34.0  | 44642 | 0.6479   | 1.7246          |
| 0.9447        | 35.0  | 45955 | 0.6540   | 1.7245          |
| 0.6587        | 36.0  | 47268 | 0.7019   | 1.5849          |
| 0.6044        | 37.0  | 48581 | 0.7062   | 1.6146          |
| 0.572         | 38.0  | 49894 | 0.7081   | 1.6583          |
| 0.545         | 39.0  | 51207 | 0.7087   | 1.6993          |
| 0.5341        | 40.0  | 52520 | 0.7106   | 1.7078          |
| 0.5284        | 41.0  | 53833 | 0.7105   | 1.7241          |
| 0.5186        | 42.0  | 55146 | 0.7112   | 1.7408          |
| 0.506         | 43.0  | 56459 | 0.7106   | 1.7487          |
| 0.5043        | 44.0  | 57772 | 0.7109   | 1.7547          |
| 0.5094        | 45.0  | 59085 | 0.7111   | 1.7536          |
| 0.5547        | 46.0  | 60398 | 0.7069   | 1.7074          |
| 0.5391        | 47.0  | 61711 | 0.7090   | 1.7401          |
| 0.5253        | 48.0  | 63024 | 0.7093   | 1.7770          |
| 0.5066        | 49.0  | 64337 | 0.7102   | 1.8135          |
| 0.495         | 50.0  | 65650 | 0.7110   | 1.8452          |
| 0.4813        | 51.0  | 66963 | 0.7107   | 1.8846          |
| 0.4704        | 52.0  | 68276 | 0.7124   | 1.8989          |
| 0.4689        | 53.0  | 69589 | 0.7132   | 1.9311          |
| 0.4611        | 54.0  | 70902 | 0.7131   | 1.9354          |
| 0.4547        | 55.0  | 72215 | 0.7133   | 1.9741          |
| 0.4481        | 56.0  | 73528 | 0.7131   | 1.9899          |
| 0.4709        | 57.0  | 74841 | 1.9412   | 0.7104          |
| 0.4647        | 58.0  | 76154 | 1.9707   | 0.7098          |
| 0.4566        | 59.0  | 77467 | 2.0151   | 0.7116          |
| 0.4511        | 60.0  | 78780 | 2.0363   | 0.7114          |
| 0.4423        | 61.0  | 80093 | 2.0710   | 0.7112          |
| 0.4356        | 62.0  | 81406 | 2.0611   | 0.7116          |
| 0.4272        | 63.0  | 82719 | 2.0891   | 0.7118          |
| 0.4254        | 64.0  | 84032 | 2.0879   | 0.7124          |
| 0.4221        | 65.0  | 85345 | 2.1167   | 0.7131          |
| 0.4189        | 66.0  | 86658 | 2.1363   | 0.7129          |
| 0.4219        | 67.0  | 87971 | 2.1355   | 0.7130          |
| 0.4149        | 68.0  | 89284 | 2.1466   | 0.7132          |
| 0.4125        | 69.0  | 90597 | 2.1478   | 0.7131          |
| 0.4162        | 70.0  | 91910 | 2.1484   | 0.7132          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3