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--- |
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model-index: |
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- name: bert-base-dv |
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results: [] |
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datasets: |
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- alakxender/haveeru-articles |
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language: |
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- dv |
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pipeline_tag: fill-mask |
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library_name: transformers |
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--- |
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# BERT base for Dhivehi |
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Pretrained model on Dhivehi language using masked language modeling (MLM). |
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## Tokenizer |
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The *WordPiece* tokenizer uses several components: |
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* **Normalization**: lowercase and then NFKD unicode normalization. |
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* **Pretokenization**: splits by whitespace and punctuation. |
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* **Postprocessing**: single sentences are output in format `[CLS] sentence A [SEP]` and pair sentences in format `[CLS] sentence A [SEP] sentence B [SEP]`. |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
