covid-general-news-bert

bvrau/covid-general-news-bert

covid-general-news-bert is a text classification model from bvrau. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as afl-3.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: afl-3.0
Model type: bert
Access: Public
Created: Oct 5, 2022
Updated: Oct 5, 2022
SHA: 42374bac

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Model card

From the Hugging Face model README

covid-general-news-bert

This model is a fine-tuned version of bvrau/covid-twitter-bert-v2-struth on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0688
Accuracy: 0.9774
Precision: 0.9781
Recall: 0.9738
F1: 0.9760

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2183	1.0	365	0.0688	0.9774	0.9781	0.9738	0.9760
0.0783	2.0	730	0.0754	0.9842	0.9812	0.9855	0.9833
0.0354	3.0	1095	0.0766	0.9856	0.9785	0.9913	0.9848
0.0185	4.0	1460	0.0956	0.9822	0.9715	0.9913	0.9813
0.0227	5.0	1825	0.0693	0.9870	0.9827	0.9898	0.9862
0.0084	6.0	2190	0.0870	0.9849	0.9926	0.9753	0.9839
0.0021	7.0	2555	0.0729	0.9877	0.9883	0.9855	0.9869
0.0002	8.0	2920	0.1197	0.9808	0.9688	0.9913	0.9799
0.0033	9.0	3285	0.0768	0.9884	0.9912	0.9840	0.9876
0.0009	10.0	3650	0.1013	0.9863	0.9869	0.9840	0.9854
0.0	11.0	4015	0.1069	0.9863	0.9869	0.9840	0.9854
0.0	12.0	4380	0.1124	0.9856	0.9854	0.9840	0.9847
0.0	13.0	4745	0.1175	0.9849	0.9854	0.9826	0.9840
0.0	14.0	5110	0.1221	0.9849	0.9854	0.9826	0.9840
0.0	15.0	5475	0.1256	0.9849	0.9854	0.9826	0.9840
0.0	16.0	5840	0.1286	0.9849	0.9854	0.9826	0.9840
0.0	17.0	6205	0.1300	0.9856	0.9854	0.9840	0.9847
0.0	18.0	6570	0.1293	0.9849	0.9854	0.9826	0.9840
0.0	19.0	6935	0.1304	0.9849	0.9854	0.9826	0.9840
0.0	20.0	7300	0.1308	0.9849	0.9854	0.9826	0.9840

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: afl-3.0
Created: Oct 5, 2022
Updated: Oct 5, 2022