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convnext-tiny-finetuned-dogfood

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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
  - lewtun/dog_food
metrics:
  - accuracy
model-index:
  - name: convnext-tiny-finetuned-dogfood
    results:
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: lewtun/dog_food
          type: lewtun/dog_food
          args: lewtun--dog_food
        metrics:
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            value: 0.7253333333333334
            name: Accuracy
      - task:
          type: image-classification
          name: Image Classification
        dataset:
          name: lewtun/dog_food
          type: lewtun/dog_food
          config: lewtun--dog_food
          split: test
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convnext-tiny-finetuned-dogfood

This model is a fine-tuned version of 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