---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- cats_vs_dogs
metrics:
- accuracy
base_model: microsoft/swinv2-tiny-patch4-window8-256
model-index:
- name: swinv2-tiny-patch4-window8-256-finetuned-lora-food101
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# swinv2-tiny-patch4-window8-256-finetuned-lora-food101

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 cats_vs_dogs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0096
- Accuracy: 1.0

## 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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 0.0096          | 1.0      |
| No log        | 2.0   | 2    | 0.0025          | 1.0      |
| No log        | 3.0   | 3    | 0.0006          | 1.0      |
| No log        | 4.0   | 4    | 0.0002          | 1.0      |
| No log        | 5.0   | 5    | 0.0001          | 1.0      |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cpu
- Datasets 2.16.1
- Tokenizers 0.15.0