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This model is a fine-tuned version of 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
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Dataset used to train nateraw/resnet50-beans-dummy-sagemaker

Evaluation results

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