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vit-manuscripts
davanstrien/vit-manuscripts
vit-manuscripts is a machine learning model from davanstrien. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- vit_mae
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 11, 2023
- SHA
- 12e7d5c3
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- vit_mae
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Sep 11, 2023