---
license: apache-2.0
base_model: microsoft/swin-tiny-patch4-window7-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-LEGO
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9717868338557993
---

<!-- 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-LEGO

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 imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1108
- Accuracy: 0.9718

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2301        | 1.0   | 45   | 0.7921          | 0.7132   |
| 0.5433        | 2.0   | 90   | 0.3047          | 0.8918   |
| 0.4067        | 3.0   | 135  | 0.2028          | 0.9279   |
| 0.3297        | 4.0   | 180  | 0.1282          | 0.9577   |
| 0.3334        | 5.0   | 225  | 0.1108          | 0.9718   |

### Captura entrenamiento

![Captura de pantalla del entrenamiento.png](https://cdn-uploads.huggingface.co/production/uploads/66068a570c87906d8e17fe96/pg_kG1imN23fKFc1GaOyS.png)


### Evaluación


![Captura de evaluación y gusardado.png](https://cdn-uploads.huggingface.co/production/uploads/66068a570c87906d8e17fe96/djfjWENiJ3WCaZpS-4l4s.png)


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1