---
library_name: transformers
license: apache-2.0
base_model: microsoft/swin-base-patch4-window12-384
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: SwimV1Base
  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. -->

# SwimV1Base

This model is a fine-tuned version of [microsoft/swin-base-patch4-window12-384](https://huggingface.co/microsoft/swin-base-patch4-window12-384) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0041

## 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
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2296        | 1.0   | 77   | 0.0181          |
| 0.1378        | 2.0   | 154  | 0.0063          |
| 0.0940        | 3.0   | 231  | 0.1362          |
| 0.0890        | 4.0   | 308  | 0.0164          |
| 0.0590        | 5.0   | 385  | 0.0008          |
| 0.0474        | 6.0   | 462  | 0.0347          |
| 0.0558        | 7.0   | 539  | 0.0344          |
| 0.0430        | 8.0   | 616  | 0.0121          |
| 0.0198        | 9.0   | 693  | 0.0017          |
| 0.0086        | 10.0  | 770  | 0.0041          |


### Framework versions

- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1