Dugerij/image_segmentation_classifier

<!-- 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. -->

imagesegmentationclassifier

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the taresco/newspaper_ocr dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0033
• —Accuracy: 0.9993

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 1337
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.52.0.dev0
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.0