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vit-manuscripts

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vit_mae
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masked-auto-encoding
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vit-manuscripts / README.md
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metadata
license: apache-2.0
tags:
  - masked-auto-encoding
  - generated_from_trainer
base_model: facebook/vit-mae-base
model-index:
  - name: vit-manuscripts
    results: []

vit-manuscripts

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