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my_awesome_swag_model
venkataravuri/my_awesome_swag_model
my_awesome_swag_model is a multiple choice model from venkataravuri. 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
- bert
- Access
- Public
- Created
- Jun 16, 2023
- Updated
- Sep 16, 2023
- SHA
- 6b653108
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. -->
my_awesome_swag_model
This model was trained from scratch on the swag dataset. It achieves the following results on the evaluation set:
- Loss: 1.1711
- Accuracy: 0.746
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8738 | 1.0 | 625 | 0.6888 | 0.728 |
| 0.431 | 2.0 | 1250 | 0.7642 | 0.736 |
| 0.1891 | 3.0 | 1875 | 1.1711 | 0.746 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Jun 16, 2023
- Updated
- Sep 16, 2023