This model is a fine-tuned version of facebook/vit-mae-base on the davanstrien/manuscript_iiif_test dataset. It achieves the following results on the evaluation set:

Loss: 0.5177

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: 7.5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5303	1.0	34	0.5134

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.18.2
Tokenizers 0.11.0

davanstrien/vit-manuscripts

vit-manuscripts

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

davanstrien/
vit-manuscripts