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bert-base-uncased-finetuned-bible
Pragash-Mohanarajah/bert-base-uncased-finetuned-bible
bert-base-uncased-finetuned-bible is a fill-mask model from Pragash-Mohanarajah. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 7, 2024
- SHA
- f3dcf49a
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-base-uncased-finetuned-bible
This model is a fine-tuned version of bert-base-uncased on the bible dataset. It achieves the following results on the evaluation set:
- Loss: 1.3702
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6684 | 1.0 | 2341 | 1.4889 |
| 1.5534 | 2.0 | 4682 | 1.3957 |
| 1.5136 | 3.0 | 7023 | 1.3713 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 7, 2024
- Updated
- May 7, 2024