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bustamiyusoef/ArabicJawi_NougatBase_v2
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metadata
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
  - generated_from_trainer
model-index:
  - name: ArabicJawi_baseNougat_logs
    results: []

ArabicJawi_baseNougat_logs

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

  • Loss: 0.0873

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 6
  • total_train_batch_size: 48
  • 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
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
0.1724 0.9973 187 0.1420
0.1142 2.0 375 0.1124
0.1047 2.9973 562 0.0980
0.0883 4.0 750 0.0895
0.0505 4.9973 937 0.0873
0.0483 6.0 1125 0.0872
0.0387 6.9973 1312 0.0868
0.0261 8.0 1500 0.0861
0.0415 8.9973 1687 0.0891
0.0273 10.0 1875 0.0873

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3