vit-finetune-scrap

This model is a fine-tuned version of d071696/vit-finetune-scrap on the d071696/scraps1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3599
  • Accuracy: 0.9260

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: 0.0002
  • 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
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0021 3.22 1000 0.3599 0.9260

Framework versions

  • Transformers 4.39.0
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Evaluation results