ModernBERT-ar-base-tiny
This model was trained on Fineweb2 Ar sample dataset.
The tokenizer was also trained using the same dataset.
See sample code
(usage and training) and initial post
Updated: Jan. 12, 2025.
Model description
ModernBERT Arabic (MLM) experiment.
Intended uses & limitations
Educational and explorational uses only. Limited data, not fully trained.
Training and evaluation data
Evaluation on 5% of the data, uses 2 GPUs.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 24
- total_eval_batch_size: 24
- 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
- lr_scheduler_warmup_steps: 500
- training_steps: 50000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0