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README.md

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 # Arabic BERT Model
-**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert). 
-AraBERTMo_base uses the same BERT-Base config. AraBERTMo_base now comes in 10 new variants
-All models are available on the `HuggingFace` model page under the [Ebtihal](https://huggingface.co/Ebtihal/) name. 
-Checkpoints are available in PyTorch formats.
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+**AraBERTMo** is an Arabic pre-trained language model based on [Google's BERT architechture](https://github.com/google-research/bert). AraBERTMo_base uses the same BERT-Base config. AraBERTMo_base now comes in 10 new variants All models are available on the `HuggingFace` model page under the [Ebtihal](https://huggingface.co/Ebtihal/) name. Checkpoints are available in PyTorch formats.
 ## Pretraining Corpus
 `AraBertMo_base_V8' model was pre-trained on ~3 million words: [OSCAR](https://traces1.inria.fr/oscar/) - Arabic version "unshuffled_deduplicated_ar". 
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 ## Training results
 this model achieves the following results:
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 | Task | Num examples | Num Epochs  | Batch Size | steps | Wall time  | training loss| 
 |:----:|:----:|:----:|:----:|:-----:|:----:|:-----:|
 | Fill-Mask| 40032|  8  | 64 | 5008  | 10h 5m 57s | 7.2367  |