timm-resnet18-beans-test-2

This model is a fine-tuned version of resnet18 on the beans dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3225
  • Accuracy: 0.5789

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: 0.001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2601 0.02 5 2.8349 0.5113
1.8184 0.04 10 1.3225 0.5789

Framework versions

  • Transformers 4.9.1
  • Pytorch 1.9.0
  • Datasets 1.11.1.dev0
  • Tokenizers 0.10.3
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