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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bibert-v0.1 |
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results: [] |
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--- |
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# bibert-v0.1 |
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This model was fine-tuned from `bert-base-uncased` on the Hebrew Bible verses. It was trained to perfrom fill-mask of randomly masked words. It achieved loss of 1.32 after 4700 training iterations. |
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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: 8 |
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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: 5 |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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