vit-base-patch16-224-in21k-base-manuscripts

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the davanstrien/iiif_manuscripts_label_ge_50 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5210

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
0.5198	1.0	32	0.5208

Framework versions

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