DarijaBERT-finetuned-Arabic-SQuAD
This model is a fine-tuned version of SI2M-Lab/DarijaBERT on the Mostafa3zazi/Arabic_SQuAD dataset. It achieves the following results on the evaluation set:
- Loss: 4.7451
Model description
This model is a fine tuned version of DarijaBERT, specifically trained on the Arabic Squad dataset. It is designed to perform question answering in the Darija dialect, which is a colloquial Arabic variant spoken primarily in Morocco.
Intended uses & limitations
- the fine-tuning was done on arabic dataset so the results may not always be accurate escpacially with rare word in darija
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3