---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
widget:
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/healthy.jpeg
  example_title: Healthy
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/angular_leaf_spot.jpeg
  example_title: Angular Leaf Spot
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/bean_rust.jpeg
  example_title: Bean Rust
base_model: google/vit-base-patch16-224-in21k
model-index:
- name: vit-base-beans
  results:
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: beans
      type: beans
      args: default
    metrics:
    - type: accuracy
      value: 0.9849624060150376
      name: Accuracy
  - task:
      type: image-classification
      name: Image Classification
    dataset:
      name: beans
      type: beans
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.96875
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWUwN2EwMjAxZTBhMjU4NzNiMjdkOGYwOWQwNWIzYzdiMjAwMWIyOWQ3OGI0MmM3NTRlODBiMGM1NzU1NWNmNCIsInZlcnNpb24iOjF9.Smb7uDp0Qs8z47_ycR-ip_GrUXeP-7gpqOsExVr3mLzBshzfUutrHPMQyZRtmo9kTQSoFgO4oirzd3sPDmJzCg
    - type: precision
      value: 0.9716312056737588
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTBjYWM2NDYzMGUwNzI0NDVmMGJhMjEzYzhlYzQwNWY0MjE1NjMzNTY0YTBkOGQ4ZmM3MzdhNTc5NDdlNzVmNSIsInZlcnNpb24iOjF9.Ts_EkO4sRgKU_Y8WxEZ6Hrf8ivI1DO4nANNW7iNfjzJrK6ZPgU-hc8VO4PXg7EXVwnOiMcgdqxdzKNi0wZgvDg
    - type: precision
      value: 0.96875
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTMwNGEyODA1NmEzOWE2M2U1M2M0MTg3MTU2NTVmODcxNGY1ZmFiZWIwMDJkZDEzNTRkNmNjOWNjYzllZDhjNyIsInZlcnNpb24iOjF9.yvGN04AqLPpiP4bg42Z0X7IHSqTde3kb8QXeAn79WMub6RTbtQqSsPnLkZmfIBC_bsKdDFGNr4Pq5wtLa0GpBA
    - type: precision
      value: 0.9714095744680851
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODQ3NzIzMzE1NWQ3ZmQwZmRhNzNmOTczMjllMjM5MDUyYjFmYWQzYjA3YTQzM2I5MmZkNGE5MWI2MWYxYmUxOCIsInZlcnNpb24iOjF9.pLLxdDf4YjD2N5x4G2cTKaBSvmTHDXH2ZDL4QYZ0nHHnRNeQRRpyhny_swBn4ooS2YplGnUfU5WcIDboSmP2Dg
    - type: recall
      value: 0.9689922480620154
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGUzOGRjYWJlY2FiY2M2Yjg1YmZmZjg3NjU3YjhiZmViZjhjMjgzNGM5MGJjNzA5YzJkZmZmZWFkNjBkODgwZiIsInZlcnNpb24iOjF9.vintwO0TDSUQ279t41zAi7nu_Z330RPgRbictjqBfC-P-EmEp6c2FgFk2Tfi9JU1ADWZp1LSiYVP6Z0vx1tdDg
    - type: recall
      value: 0.96875
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzU1MDMyZjFjNzkzZGQ1NTFhZDdjNGFkMGFiNDYyMDRhMTI4NjRhMjlkOTBkZDQ5ZGM0NTg0ODBlZDE1MWY3ZCIsInZlcnNpb24iOjF9.jSiGQmIYTp1AF1HXCrcdRPMx1KLTinZePt0_JwPNx4_NBXTSoB8SfMYa37tQUjiWge84mIs9peEGOvlR_D-MDA
    - type: recall
      value: 0.96875
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWRkMWQ1OWRiMmUyMzIwNTNlYjZkZWI2MmI1ZDE3NGMxNTJiYzk0NzU1ZDgyNWIwY2E1YWIwODY3NjIwNGE2YSIsInZlcnNpb24iOjF9.p_xnLgnHK_rn4P6b5OBMOse9-2I0Bmdg71D8OF-GoSyBtIxY_fqEiZOsxRPliCtj8oaaapmzE5hBuk8Js5fpDw
    - type: f1
      value: 0.9689250225835592
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDczNmY3NWMxOTRmMzUwZDVjZTNmOTgwNGY3NDIyYmNiMjFjOTBiMTAxYjlmMTYxNjdlODI4NmI5ZjYzNWM5ZCIsInZlcnNpb24iOjF9.NZ573cbob2p6akj5ZwRm9L2eN3wes9_c-m936SG561UWiJBjgt8rluMEmAVV9Dv-ioejNtAy1F4fvg2AdyBwDQ
    - type: f1
      value: 0.96875
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTZlNzNhZjRkYWE1ZDRiZmVhYjc3ZTZhYmYzMDVkMmIzMzUzNWY1NDliMGI5NzgxZjM1YzliNWZhYzM4MzA5MyIsInZlcnNpb24iOjF9.ClwhPdxnwkUHQt22byICE0f31CaIrXr1dhNDMvEt8imyzf13saNURRzvk3pW-eOCpZaGY3LCjvgAwrdXtZ67AA
    - type: f1
      value: 0.9686822493224932
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2RiZGMyNmQ5NWQyODgzMjgwY2E2Y2E5MmJmOTIxMWQ1ZGJmYjNhNGRjOWM4NTRjZTBkMTU3MGU4MzBmMWU0OCIsInZlcnNpb24iOjF9.EQX3LU8GL2TRZxWaDHmKWEkXOLpF0cVWn0pQUrBE43rDe0-Peon_wnIhlE1qijPAEO75fPTWtr5MpjnaXAWqAA
    - type: loss
      value: 0.1282731592655182
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzFjMjkwYzk0NDA4OGZkYjQzY2M1YTczOTExNDFiNjVmYjBmZmMwYjk4MDI0MDdmYmM0N2MyZmNlOGQ5OTQ0NCIsInZlcnNpb24iOjF9.Rzg0eUxeNkN_bqFU1OmIuw-cc1doy1DHbQus-0fypVxsb1tKKUVBWwMSx-lVYxFKU9PP8twxNlM6fu3Xro_hDA
---

<!-- 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. -->

# vit-base-beans

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0505
- Accuracy: 0.9850

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1166        | 1.54  | 100  | 0.0764          | 0.9850   |
| 0.1607        | 3.08  | 200  | 0.2114          | 0.9398   |
| 0.0067        | 4.62  | 300  | 0.0692          | 0.9774   |
| 0.005         | 6.15  | 400  | 0.0944          | 0.9624   |
| 0.0043        | 7.69  | 500  | 0.0505          | 0.9850   |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0