tensorboard safetensors generated_from_trainer dataset:imagefolder base_model:microsoft/swin-base-patch4-window7-224 license:apache-2.0 region:us
---
license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-base-patch4-window7-224-finetuned-lora-food101
  results: []
---

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# swin-base-patch4-window7-224-finetuned-lora-food101

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0674
- Accuracy: 0.9752

## 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: 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
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1707        | 0.97  | 27   | 0.1354          | 0.9617   |
| 0.1597        | 1.98  | 55   | 0.0798          | 0.9741   |
| 0.1551        | 2.99  | 83   | 0.0674          | 0.9752   |
| 0.1107        | 4.0   | 111  | 0.0808          | 0.9696   |
| 0.0889        | 4.97  | 138  | 0.0708          | 0.9741   |
| 0.0816        | 5.84  | 162  | 0.0753          | 0.9729   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
