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weiweishi-roc-bert-base-zh
daze-unlv/weiweishi-roc-bert-base-zh
weiweishi-roc-bert-base-zh is a multiple choice model from daze-unlv. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- roc_bert
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024
- SHA
- af79af9f
Base models
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. -->
weiweishi-roc-bert-base-zh
This model is a fine-tuned version of weiweishi/roc-bert-base-zh on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.2601
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: 5e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.388 | 1.0 | 2857 | 1.3863 | 0.2584 |
| 1.3891 | 2.0 | 5714 | 1.3863 | 0.2608 |
| 1.3882 | 3.0 | 8571 | 1.3863 | 0.2601 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
- Task
- multiple choice
- Library
- transformers
- Type
- roc_bert
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024