gog444/egyptian-to-fusha-9k-v1

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egyptian-to-fusha-9k-v1

This model is a fine-tuned version of UBC-NLP/AraT5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.3471

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: 0.0003
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 15

Training results

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.9.0+cu126
• —Datasets 4.4.1
• —Tokenizers 0.22.1