---
license: apache-2.0
base_model: microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: No-Augmentation-swinv2-base
  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. -->

# No-Augmentation-swinv2-base

This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9741
- Accuracy: 0.7589

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3968        | 0.96  | 18   | 1.3103          | 0.5731   |
| 0.8906        | 1.97  | 37   | 0.9292          | 0.6838   |
| 0.4531        | 2.99  | 56   | 0.8277          | 0.7352   |
| 0.2294        | 4.0   | 75   | 0.8021          | 0.7273   |
| 0.1208        | 4.96  | 93   | 0.7764          | 0.7589   |
| 0.0745        | 5.97  | 112  | 0.8899          | 0.7549   |
| 0.0733        | 6.99  | 131  | 0.9730          | 0.7549   |
| 0.0381        | 8.0   | 150  | 0.9304          | 0.7747   |
| 0.0151        | 8.96  | 168  | 0.9733          | 0.7510   |
| 0.0233        | 9.6   | 180  | 0.9741          | 0.7589   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2