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PagesClassificationModel

Image Classification
Transformers
Safetensors
vit
Generated from Trainer
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metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
  - image-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: PagesClassificationModel
    results: []

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