bert-base-uncased-finetuned-swag-interation_715_1

7k8k7/bert-base-uncased-finetuned-swag-interation_715_1

bert-base-uncased-finetuned-swag-interation_715_1 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 15, 2024
Updated: Jul 15, 2024
SHA: 2ea83255

Base models

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

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-swag-interation_715_1

This model is a fine-tuned version of 7k8k7/bert-base-uncased-finetuned-swag on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9673
Accuracy: 0.7166

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	2.5872	0.5642
No log	2.0	294	2.1397	0.7346
No log	3.0	441	1.9673	0.7166

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 15, 2024
Updated: Jul 15, 2024