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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-ai-not
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. -->
# swin-tiny-patch4-window7-224-finetuned-ai-not
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1248
- Accuracy: 0.9554
- F1: 0.9543
- Log Loss: 1.5396
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
| 0.1872 | 1.0 | 131 | 0.1355 | 0.9463 | 0.9450 | 1.8550 |
| 0.1163 | 2.0 | 262 | 0.1463 | 0.9425 | 0.9408 | 1.9848 |
| 0.0988 | 3.0 | 393 | 0.1248 | 0.9554 | 0.9543 | 1.5396 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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