bert-base-uncased-finetuned-swag

7k8k7/bert-base-uncased-finetuned-swag

bert-base-uncased-finetuned-swag is a multiple choice model from 7k8k7. 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: Jul 10, 2024
Updated: Jul 12, 2024
SHA: ffe78655

Base models

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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8480
Accuracy: 0.8005

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
No log	1.0	147	0.5757	0.8485
No log	2.0	294	1.1518	0.7637
No log	3.0	441	0.8480	0.8005

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 10, 2024
Updated: Jul 12, 2024