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Ar-Mulitlingula-MiniLM
subhasisj/Ar-Mulitlingula-MiniLM
Ar-Mulitlingula-MiniLM is a fill-mask model from subhasisj. Use it when you need the model to fill a missing word. It is set up for transformers.
Ar-Mulitlingual-MiniLM This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 8, 2022
- Updated
- May 8, 2022
- SHA
- a861604f
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Model card
From the Hugging Face model README
Ar-Mulitlingual-MiniLM This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset.
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: 5e-05 train_batch_size: 24 eval_batch_size: 8 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear num_epochs: 2 mixed_precision_training: Native AMP Training results Framework versions Transformers 4.18.0 Pytorch 1.11.0+cu113 Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- May 8, 2022
- Updated
- May 8, 2022