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vit-base-patch16-224-in21k-base-manuscripts
davanstrien/vit-base-patch16-224-in21k-base-manuscripts
vit-base-patch16-224-in21k-base-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
- Access
- Public
- Created
- Mar 10, 2022
- Updated
- Sep 11, 2023
- SHA
- 6ce2ca5a
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-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
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 10, 2022
- Updated
- Sep 11, 2023