multi_choice_bert-base-uncased_swag_finetune

jonastokoliu/multi_choice_bert-base-uncased_swag_finetune

multi_choice_bert-base-uncased_swag_finetune is a multiple choice model from jonastokoliu. 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: May 27, 2023
Updated: May 28, 2023
SHA: e80df77f

Datasets

swag

Model card

From the Hugging Face model README

multi_choice_bert-base-uncased_swag_finetune

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

Loss: 0.7488
Accuracy: 0.8004

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: 32
eval_batch_size: 32
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
0.7512	1.0	2299	0.5688	0.7868
0.3857	2.0	4598	0.5583	0.7983
0.1556	3.0	6897	0.7488	0.8004

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: May 27, 2023
Updated: May 28, 2023