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bert-base-finetuned-wellness
gaeunseo/bert-base-finetuned-wellness
bert-base-finetuned-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
- Sep 13, 2022
- Updated
- Sep 18, 2022
- SHA
- d0fb0964
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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-finetuned-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: 1.3297
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: 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4206 | 1.0 | 32 | 1.6348 |
| 1.6784 | 2.0 | 64 | 1.5117 |
| 1.5398 | 3.0 | 96 | 1.4957 |
| 1.4563 | 4.0 | 128 | 1.4255 |
| 1.4111 | 5.0 | 160 | 1.4090 |
| 1.3917 | 6.0 | 192 | 1.3566 |
| 1.3816 | 7.0 | 224 | 1.3316 |
| 1.3514 | 8.0 | 256 | 1.3519 |
| 1.3412 | 9.0 | 288 | 1.2739 |
| 1.3334 | 10.0 | 320 | 1.3000 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Sep 13, 2022
- Updated
- Sep 18, 2022