my_awesome_swag_model

sungkwan2/my_awesome_swag_model

my_awesome_swag_model is a multiple choice model from sungkwan2. 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: Jun 5, 2025
Updated: Jun 5, 2025
SHA: ac7d4aec

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

my_awesome_swag_model

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2510
Accuracy: 0.55

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	7	1.1055	0.53
No log	2.0	14	1.1854	0.52
No log	3.0	21	1.2216	0.55
No log	4.0	28	1.2454	0.54
No log	5.0	35	1.2510	0.55

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 5, 2025
Updated: Jun 5, 2025