covid_miss_information_classification

satendrakumar/covid_miss_information_classification

covid_miss_information_classification is a text classification model from satendrakumar. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: May 21, 2023
Updated: May 22, 2023
SHA: ca69c1fa

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Model card

From the Hugging Face model README

covid_miss_information_classification

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

Loss: 0.0017
Accuracy: 0.9996

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: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1469	1.0	722	0.0330	0.9915
0.0601	2.0	1444	0.0163	0.9956
0.0143	3.0	2166	0.0052	0.9990
0.0123	4.0	2888	0.0024	0.9994
0.003	5.0	3610	0.0017	0.9996

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 21, 2023
Updated: May 22, 2023