---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: swin-finetuned-food101
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: food101
      type: food101
      args: default
    metrics:
    - type: accuracy
      value: 0.9210297029702971
      name: Accuracy
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: food101
      type: food101
      config: default
      split: validation
    metrics:
    - type: accuracy
      value: 0.9135841584158416
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWJlN2FmOTBlNDE4NjRmNjM4ZjZlNDhiN2M3YzhhZjNjOTA1OTQyZDJmNTI4Y2JjZmViOWQ1NmFhZjhhMzI0MSIsInZlcnNpb24iOjF9.fVN0KnTOV4oR8lO905BcvQJKuG9nrhtvU0kla5yvEx-f0-OprAHuQ4-DjISBBe7wSEIgPQ-hLpNX2gRbT8dnCg
    - type: precision
      value: 0.9151645786633058
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzBhNjg2YTkzNTlhZGZkMzY3ZWI4NzhiNDU1Y2FiMzdjMWNkNmJiNTJhNjM3MDVjMjRkZGUyODIzODYyNTVmNiIsInZlcnNpb24iOjF9.i90eiwNXpAMyf1kGef4eIohSxbD6Zc_QKvQEnNZy_phurmeB5bhqGq2x2VlOvmnJydjbpLm4-FBAktM7a59mCA
    - type: precision
      value: 0.9135841584158416
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGJmYzdkNTZiNmM0NzdiOTI0YTRkZTU4MDBjZjQzYzcyNzA0MjI2Mzc5ZjA5MzQ4NDg2MjA3OTkyOTlmM2RkYiIsInZlcnNpb24iOjF9.g8hKuh10se7PeRHifkMincuAZeo3ZxHOmuUMGSCNN-h0tNLS5Q5Ro_xI-X5tkkQ2Nmw8qCNDlGkE6lch5VybDw
    - type: precision
      value: 0.915164578663306
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODUwOWI5OWFmZWUyNDVjOTFiNTA2ZGQwMDQxYTg4Yzc1MTljN2M2ZjdkOWEzNzhhOGVmYjgwY2RmMTg1NTY4YiIsInZlcnNpb24iOjF9.bv2fUQZBILzGx6eBCYVoABAKBsPToKhC5kI8h1ggZNCJZ-DOW7gkYK66K0y5USqguJgwwH5yk2J_hl5xo7TZDA
    - type: recall
      value: 0.9135841584158414
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTJjOGMyZGMzNDgyNzM5NDdjMzE5MDMxMzcwZDhiOTY0MWMxZDQxZGVlMDIxMDkxMGMyOTRkOGI2M2E4NmI0NSIsInZlcnNpb24iOjF9.tfi_hRqQPZYXMnsOAERnKvs54W7Jd1t9ZWfScm39gGdl4mlj39DIZHGgWScHUEKuoeVc1rF9Vdc4-5dNnJluBw
    - type: recall
      value: 0.9135841584158416
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTlkZTJhYWQ2N2FjMzhmNDhlNWVmNGYxMzg4ZGJjZmUzNjE3NGVlNjYyZTZjYjc0MjgyNDRlMTMyMjg3ZWQxZCIsInZlcnNpb24iOjF9.Ee1lfbeqP9eKI8x6NO2pmjpLxb9AGc2y-Eb_WNxDvvuJnUNHSkFGD_kEO24AmtD7lr-MnaiWPwWubffdWGevCA
    - type: recall
      value: 0.9135841584158416
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWE4OTE0N2QxYzcxY2E3MDY1ZWMyZDRmZDU3NTE0ZGM0ZjVjYTA4ZmY3YWViNzg4Njk2NTg5MTNjNmRiMGUxMyIsInZlcnNpb24iOjF9.BzwI1f-9BxFsh2xm-JXqlE1EbKz0lwZRHwKsGfEwr2oMZcM690eP5RCjcv7tbgWrENEKmGamso-jPHF3jehnCg
    - type: f1
      value: 0.9138785016966742
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWExNjlmNDJmMjhjMTYyZjUzZDk0M2VjMDk4OGViZTQ4MTk0MzRmYTFkZjMwNmIwZTNhNWViYTBkZDJmNDRhOCIsInZlcnNpb24iOjF9.mXfXw0BAKgPHvxwxeEenItHFDygRgX7HcX7w1ERonbEAceuIW3641oUC1dHQc6aexTHST6OXDmly3b95R9txAg
    - type: f1
      value: 0.9135841584158415
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGZkNzI1NjcxNGU2YjFhNDIzN2EwNzM3YzAxZGMxMTU5MGI0NDA2NTU0MjFiNmMyNTZiOTBlNGNmMWUzMGQ4NCIsInZlcnNpb24iOjF9.cLhcQ7fHC0y9w2IKewYAvFmc2iIN630hljXBUQIF9QIss9Sip2RPwOvEhKe6iskAEUQhIz5KxN0no1n1Iw3oBQ
    - type: f1
      value: 0.9138785016966743
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzEzNGI3YzkzOWVjYzk3MDc0MmIyZTNiYjRhZjY3NGZjM2NjZTI5YmVmYjI2OTBhZmUzZDUzMDA3NzczOTViZSIsInZlcnNpb24iOjF9.sbvcl_tEjGiUWhITGzx3Nb2q2cJMwkHMMj8zuXIc0ZL_mPiQHFD5DocQcDVnNOItiem5L3fMzu5srWhGMrXjDg
    - type: loss
      value: 0.30761435627937317
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTRhYzM5MTE5YmQxM2U5NmQ4YjM2YTQ5ZmI1YzI4NmYyMTJkZTBjZjFmYTMxYzNjNTBjNWUwNjc3Zjc2ZWU3NSIsInZlcnNpb24iOjF9.sAsKpKbJXlsjcw6RWo-FqxLnURBHBOq9OmJ1uEwHQdXLT8uPqEfIXi5xyB1TTcm8pj0xhUiyGbW5us7PYrm9CA
---

<!-- 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-finetuned-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 food101 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2772
- Accuracy: 0.9210

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5077        | 1.0   | 1183 | 0.3851          | 0.8893   |
| 0.3523        | 2.0   | 2366 | 0.3124          | 0.9088   |
| 0.1158        | 3.0   | 3549 | 0.2772          | 0.9210   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1