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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ModernBERT-ar-base-small4 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ModernBERT-ar-base-tiny |
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This model was trained on [Fineweb2 Ar sample](https://huggingface.co/datasets/akhooli/fineweb2_ar_24_sample) dataset. |
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The tokenizer was also trained using the same dataset. |
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See [sample code](https://colab.research.google.com/drive/1CUsUsJQV4ZzJar2987yAzCTn8ve4hR5b?usp=sharing) |
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(usage and training) and [initial post](https://www.linkedin.com/posts/akhooli_a-micro-arabic-modern-bert-a-couple-weeks-activity-7282005813357875202-SAGk) |
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Updated: Jan. 12, 2025. |
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## Model description |
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ModernBERT Arabic (MLM) experiment. |
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## Intended uses & limitations |
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Educational and explorational uses only. Limited data, not fully trained. |
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## Training and evaluation data |
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Evaluation on 5% of the data, uses 2 GPUs. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 24 |
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- total_eval_batch_size: 24 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 50000 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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