readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - imagefolder
  - lewtun/dog_food
  metrics:
  - accuracy
  model-index:
  - name: convnext-tiny-finetuned-dogfood
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: lewtun/dog_food
        type: lewtun/dog_food
        args: lewtun--dog_food
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.7253333333333334
    - task:
        type: image-classification
        name: Image Classification
      dataset:
        name: lewtun/dog_food
        type: lewtun/dog_food
        config: lewtun--dog_food
        split: test
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.6866666666666666
        verified: true
      - name: Precision Macro
        type: precision
        value: 0.7181484576740136
        verified: true
      - name: Precision Micro
        type: precision
        value: 0.6866666666666666
        verified: true
      - name: Precision Weighted
        type: precision
        value: 0.7235392474854474
        verified: true
      - name: Recall Macro
        type: recall
        value: 0.7006250320552644
        verified: true
      - name: Recall Micro
        type: recall
        value: 0.6866666666666666
        verified: true
      - name: Recall Weighted
        type: recall
        value: 0.6866666666666666
        verified: true
      - name: F1 Macro
        type: f1
        value: 0.6690027379410202
        verified: true
      - name: F1 Micro
        type: f1
        value: 0.6866666666666666
        verified: true
      - name: F1 Weighted
        type: f1
        value: 0.6647526870157503
        verified: true
      - name: loss
        type: loss
        value: 0.9549381732940674
        verified: true
      - name: matthews_correlation
        type: matthews_correlation
        value: 0.5737269361889515
        verified: true
  ---
  
  <!-- 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-dogfood
  
  This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the lewtun/dog_food dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9277
  - Accuracy: 0.7253
  
  ## 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: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.0681        | 1.0   | 16   | 0.9125          | 0.7422   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  