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---
tags:
- generated_from_trainer
model-index:
- name: bibert-v0.1
results: []
---
# bibert-v0.1
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.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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