bert-base-uncased-finetuned-swag

kavlata/bert-base-uncased-finetuned-swag

bert-base-uncased-finetuned-swag is a multiple choice model from kavlata. 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 21, 2023
Updated: Jun 21, 2023
SHA: 77d8df24

Model card

From the Hugging Face model README

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: 1.7193
Accuracy: 0.1400

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: 4
eval_batch_size: 4
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
No log	1.0	38	1.7806	0.1867
No log	2.0	76	1.7043	0.2467
No log	3.0	114	1.7193	0.1400

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 21, 2023
Updated: Jun 21, 2023