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chinese-bert-wwm-finetuned-jd
wangmiaobeng/chinese-bert-wwm-finetuned-jd
chinese-bert-wwm-finetuned-jd is a fill-mask model from wangmiaobeng. 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
- Apr 18, 2022
- Updated
- Apr 18, 2022
- SHA
- b9681136
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. -->
chinese-bert-wwm-finetuned-jd
This model is a fine-tuned version of hfl/chinese-bert-wwm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9340
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 |
|---|---|---|---|
| 3.1648 | 1.0 | 5 | 2.9366 |
| 3.0095 | 2.0 | 10 | 2.9487 |
| 3.0698 | 3.0 | 15 | 2.9177 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 18, 2022
- Updated
- Apr 18, 2022