readme: ---
  tags:
  - image-classification
  - timm
  - generated_from_trainer
  datasets:
  - beans
  model-index:
  - name: model
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: beans
        type: beans
        args: default
  library_tag: timm
  ---
  
  <!-- 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. -->
  
  # model
  
  This model is a fine-tuned version of [resnet18](https://huggingface.co/resnet18) on the beans dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0219
  - Acc1: 56.3910
  - Acc5: 100.0
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 20
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.7.1
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  