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# pvt-small-224-finetuned-papsmear

This model is a fine-tuned version of [Xrenya/pvt-small-224](https://huggingface.co/Xrenya/pvt-small-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.2426

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.0           | 0.9935  | 38   | nan             | 0.2426   |
| 0.0           | 1.9869  | 76   | nan             | 0.2426   |
| 0.0           | 2.9804  | 114  | nan             | 0.2426   |
| 0.0           | 4.0     | 153  | nan             | 0.2426   |
| 0.0           | 4.9935  | 191  | nan             | 0.2426   |
| 0.0           | 5.9869  | 229  | nan             | 0.2426   |
| 0.0           | 6.9804  | 267  | nan             | 0.2426   |
| 0.0           | 8.0     | 306  | nan             | 0.2426   |
| 0.0           | 8.9935  | 344  | nan             | 0.2426   |
| 0.0           | 9.9869  | 382  | nan             | 0.2426   |
| 0.0           | 10.9804 | 420  | nan             | 0.2426   |
| 0.0           | 12.0    | 459  | nan             | 0.2426   |
| 0.0           | 12.9935 | 497  | nan             | 0.2426   |
| 0.0           | 13.9869 | 535  | nan             | 0.2426   |
| 0.0           | 14.9020 | 570  | nan             | 0.2426   |


### Framework versions

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

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