PagesClassificationModel
This model is a fine-tuned version of google/vit-base-patch16-224 on the private_images_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0031
- Accuracy: 1.0
Model description
This model clasificates Pages, from: Just Text, Tables and Text, and Just Tables.
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for al-css/PagesClassificationModel
Base model
google/vit-base-patch16-224