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bert-large-uncased-swag-full
yefo-ufpe/bert-large-uncased-swag-full
bert-large-uncased-swag-full is a multiple choice model from yefo-ufpe. 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. 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
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024
- SHA
- 284759e6
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. -->
bert-large-uncased-swag-full
This model is a fine-tuned version of google-bert/bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5367
- Accuracy: 0.8024
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7878 | 1.0 | 4597 | 0.6288 | 0.7612 |
| 0.4475 | 2.0 | 9194 | 0.6195 | 0.7849 |
| 0.215 | 3.0 | 13791 | 0.7408 | 0.7893 |
| 0.0957 | 4.0 | 18388 | 1.3131 | 0.7976 |
| 0.0274 | 5.0 | 22985 | 1.5367 | 0.8024 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024