readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - beans
  metrics:
  - accuracy
  model-index:
  - name: convnext-tiny-finetuned-beans
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: beans
        type: beans
        args: default
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.9609375
  ---
  
  <!-- 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. -->
  
  # convnext-tiny-finetuned-beans
  
  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the beans dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1255
  - Accuracy: 0.9609
  
  ![pic](https://huggingface.co/proxy-datasets-preview/assets/beans/--/default/test/96/image/image.jpg)
  
  ## 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: 7171
  - 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   | 37   | 0.6175          | 0.8828   |
  | No log        | 2.0   | 74   | 0.2307          | 0.9609   |
  | 0.5237        | 3.0   | 111  | 0.1406          | 0.9531   |
  | 0.5237        | 4.0   | 148  | 0.1165          | 0.9688   |
  | 0.5237        | 5.0   | 185  | 0.1255          | 0.9609   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  