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bert-base-uncased-finetuned-swag
yonadolev/bert-base-uncased-finetuned-swag
bert-base-uncased-finetuned-swag is a multiple choice model from yonadolev. 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
- Dec 18, 2023
- Updated
- Dec 21, 2023
- SHA
- d925b3e7
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-base-uncased-finetuned-swag
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1649
- Accuracy: 0.4857
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 26 | 1.3860 | 0.3238 |
| No log | 2.0 | 52 | 1.3833 | 0.3238 |
| No log | 3.0 | 78 | 1.3547 | 0.3810 |
| No log | 4.0 | 104 | 1.3130 | 0.3905 |
| No log | 5.0 | 130 | 1.3733 | 0.4000 |
| No log | 6.0 | 156 | 1.6432 | 0.4476 |
| No log | 7.0 | 182 | 1.8118 | 0.4952 |
| No log | 8.0 | 208 | 2.0408 | 0.4571 |
| No log | 9.0 | 234 | 1.9043 | 0.4952 |
| No log | 10.0 | 260 | 1.9755 | 0.4952 |
| No log | 11.0 | 286 | 2.0813 | 0.4857 |
| No log | 12.0 | 312 | 2.0578 | 0.4571 |
| No log | 13.0 | 338 | 2.0979 | 0.4762 |
| No log | 14.0 | 364 | 2.1136 | 0.4857 |
| No log | 15.0 | 390 | 2.1649 | 0.4857 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 18, 2023
- Updated
- Dec 21, 2023