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bert-base-low_resource-wellness
gaeunseo/bert-base-low_resource-wellness
bert-base-low_resource-wellness is a fill-mask model from gaeunseo. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 8, 2022
- Updated
- Oct 11, 2022
- SHA
- cf1dff3d
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-base-low_resource-wellness
This model is a fine-tuned version of klue/bert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0853
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: 4e-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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8441 | 1.0 | 285 | 1.5346 |
| 1.5211 | 2.0 | 570 | 1.4483 |
| 1.3907 | 3.0 | 855 | 1.3713 |
| 1.3227 | 4.0 | 1140 | 1.2589 |
| 1.2745 | 5.0 | 1425 | 1.2187 |
| 1.2411 | 6.0 | 1710 | 1.2395 |
| 1.1769 | 7.0 | 1995 | 1.1925 |
| 1.1377 | 8.0 | 2280 | 1.1454 |
| 1.1443 | 9.0 | 2565 | 1.1225 |
| 1.11 | 10.0 | 2850 | 1.0843 |
Framework versions
- Transformers 4.23.0
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.13.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Oct 8, 2022
- Updated
- Oct 11, 2022