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dit-base-manuscripts

This model is a fine-tuned version of facebook/deit-base-distilled-patch16-224 on the davanstrien/iiif_manuscripts_label_ge_50 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1266

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 1333
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss
1.1396 1.0 32 1.1261

Framework versions

  • Transformers 4.18.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.4
  • Tokenizers 0.11.6
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Evaluation results