Downloads · 30 days
4
8% of all-time downloads
masry-to-fusha-model
rimo2301/masry-to-fusha-model
masry-to-fusha-model is a machine learning model from rimo2301. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
51
Public
Parameters
283M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 99%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025
- SHA
- ff88f9bb
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
masry-to-fusha-model
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: nan
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
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 25.3191 | 1.0 | 535 | nan |
| 0.0 | 2.0 | 1070 | nan |
| 0.0 | 3.0 | 1605 | nan |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- t5
- Created
- Nov 25, 2025
- Updated
- Nov 25, 2025