| license: apache-2.0 | |
| tags: | |
| - masked-image-modeling | |
| - generated_from_trainer | |
| base_model: google/vit-base-patch16-224-in21k | |
| model-index: | |
| - name: vit-base-patch16-224-in21k-base-manuscripts | |
| results: [] | |
| <!-- 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](https://huggingface.co./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 | |