---
library_name: transformers
license: apache-2.0
base_model: microsoft/swinv2-tiny-patch4-window8-256
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swinv2-tiny-patch4-window8-256-Ocular-Toxoplasmosis-DA
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: validation
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8548387096774194
---

<!-- 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-Ocular-Toxoplasmosis-DA

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: 0.5075
- Accuracy: 0.8548

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 1.3402        | 0.9630  | 13   | 1.1682          | 0.5484   |
| 1.1725        | 2.0     | 27   | 1.0025          | 0.6290   |
| 0.8824        | 2.9630  | 40   | 0.7644          | 0.6613   |
| 0.7342        | 4.0     | 54   | 0.5840          | 0.7258   |
| 0.6734        | 4.9630  | 67   | 0.6754          | 0.6452   |
| 0.5167        | 6.0     | 81   | 0.5904          | 0.6935   |
| 0.5009        | 6.9630  | 94   | 0.5549          | 0.6935   |
| 0.4988        | 8.0     | 108  | 0.6204          | 0.6774   |
| 0.3856        | 8.9630  | 121  | 0.4463          | 0.8226   |
| 0.4057        | 10.0    | 135  | 0.5232          | 0.7903   |
| 0.3929        | 10.9630 | 148  | 0.4580          | 0.8387   |
| 0.3638        | 12.0    | 162  | 0.5115          | 0.7742   |
| 0.3248        | 12.9630 | 175  | 0.5313          | 0.7742   |
| 0.2673        | 14.0    | 189  | 0.5203          | 0.7903   |
| 0.2922        | 14.9630 | 202  | 0.4315          | 0.8387   |
| 0.2803        | 16.0    | 216  | 0.4577          | 0.8387   |
| 0.2735        | 16.9630 | 229  | 0.5467          | 0.8065   |
| 0.2586        | 18.0    | 243  | 0.5236          | 0.8387   |
| 0.2366        | 18.9630 | 256  | 0.5075          | 0.8548   |
| 0.2347        | 20.0    | 270  | 0.5179          | 0.8387   |
| 0.2046        | 20.9630 | 283  | 0.5428          | 0.8387   |
| 0.2289        | 22.0    | 297  | 0.5748          | 0.8387   |
| 0.2195        | 22.9630 | 310  | 0.5969          | 0.8226   |
| 0.2224        | 24.0    | 324  | 0.6092          | 0.8226   |
| 0.2167        | 24.9630 | 337  | 0.6333          | 0.8226   |
| 0.1956        | 26.0    | 351  | 0.5993          | 0.8226   |
| 0.2174        | 26.9630 | 364  | 0.6063          | 0.8548   |
| 0.1999        | 28.0    | 378  | 0.6414          | 0.8387   |
| 0.1667        | 28.9630 | 391  | 0.6297          | 0.8387   |
| 0.1835        | 30.0    | 405  | 0.6149          | 0.8226   |
| 0.186         | 30.9630 | 418  | 0.6430          | 0.8387   |
| 0.1749        | 32.0    | 432  | 0.6678          | 0.8387   |
| 0.1663        | 32.9630 | 445  | 0.6829          | 0.8387   |
| 0.1557        | 34.0    | 459  | 0.6557          | 0.8387   |
| 0.1913        | 34.9630 | 472  | 0.6275          | 0.8387   |
| 0.1775        | 36.0    | 486  | 0.6555          | 0.8548   |
| 0.152         | 36.9630 | 499  | 0.6653          | 0.8548   |
| 0.1897        | 38.0    | 513  | 0.6682          | 0.8548   |
| 0.1589        | 38.5185 | 520  | 0.6679          | 0.8548   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1