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bert-nlp-project-news
jestemleon/bert-nlp-project-news
bert-nlp-project-news is a fill-mask model from jestemleon. 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
- Dec 18, 2022
- Updated
- Dec 18, 2022
- SHA
- 83cc3d50
Try a prompt
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-nlp-project-news
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7204
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4196 | 0.35 | 8 | 3.9775 |
| 4.1578 | 0.7 | 16 | 3.8826 |
| 4.055 | 1.04 | 24 | 3.7820 |
| 3.954 | 1.39 | 32 | 3.6726 |
| 3.916 | 1.74 | 40 | 3.7244 |
| 3.864 | 2.09 | 48 | 3.7631 |
| 3.8837 | 2.43 | 56 | 3.6904 |
| 3.8965 | 2.78 | 64 | 3.6775 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 18, 2022
- Updated
- Dec 18, 2022