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distilbert-swag
thesven/distilbert-swag
distilbert-swag is a multiple choice model from thesven. 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
- distilbert
- Access
- Public
- Created
- Jul 24, 2023
- Updated
- Jul 24, 2023
- SHA
- 15371768
Base models
Datasets
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. -->
distilbert-swag
This model is a fine-tuned version of distilbert-base-uncased on the swag dataset. It achieves the following results on the evaluation set:
- Loss: 0.9079
- Accuracy: 0.7105
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.9186 | 1.0 | 2298 | 0.7658 | 0.6950 |
| 0.5843 | 2.0 | 4597 | 0.7453 | 0.7059 |
| 0.3548 | 3.0 | 6894 | 0.9079 | 0.7105 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- multiple choice
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 24, 2023
- Updated
- Jul 24, 2023