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bibert-v0.1
yugen-ok/bibert-v0.1
bibert-v0.1 is a fill-mask model from yugen-ok. Use it when you need the model to fill a missing word. It is set up for transformers.
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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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Aug 25, 2023
- Updated
- Nov 15, 2023
- SHA
- 2be809d5
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Model card
From the Hugging Face model README
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
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Aug 25, 2023
- Updated
- Nov 15, 2023