layoutlmv3-finetuned-arabic_fullname

This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0196
  • Precision: 0.0242
  • Recall: 1.0
  • F1: 0.0472
  • Accuracy: 0.8561

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: 1e-05
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • training_steps: 2500

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 6.7568 250 0.0133 0.1352 1.0 0.2382 0.9772
0.0316 13.5135 500 0.0164 0.0185 1.0 0.0364 0.8111
0.0316 20.2703 750 0.0177 0.0173 1.0 0.0341 0.7981
0.0007 27.0270 1000 0.0180 0.0652 1.0 0.1225 0.9489
0.0007 33.7838 1250 0.0188 0.0798 1.0 0.1478 0.9589
0.0007 40.5405 1500 0.0175 0.0238 1.0 0.0465 0.8540
0.0007 47.2973 1750 0.0189 0.0110 1.0 0.0218 0.6807
0.0003 54.0541 2000 0.0193 0.0110 1.0 0.0218 0.6805
0.0003 60.8108 2250 0.0195 0.0240 1.0 0.0469 0.8553
0.0 67.5676 2500 0.0196 0.0242 1.0 0.0472 0.8561

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.3.1
  • Tokenizers 0.21.0
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