Edit model card


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

  • Loss: 1.2126
  • Accuracy: 0.3609

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: 10

Training results

Framework versions

  • Transformers 4.9.1
  • Pytorch 1.9.0
  • Datasets 1.11.1.dev0
  • Tokenizers 0.10.3
Downloads last month
Hosted inference API
Drag image file here or click to browse from your device
This model can be loaded on the Inference API on-demand.

Dataset used to train nateraw/timm-resnet18-beans-test