covid-twitter-bert-v2_1_4_2e-05_0.01

YanJiangJerry/covid-twitter-bert-v2_1_4_2e-05_0.01

covid-twitter-bert-v2_1_4_2e-05_0.01 is a text classification model from YanJiangJerry. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 6, 2023
Updated: Aug 6, 2023
SHA: eb1021ac

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Base models

digitalepidemiologylab/covid-twitter-bert-v2

Model card

From the Hugging Face model README

covid-twitter-bert-v2_1_4_2e-05_0.01

This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1675
Accuracy: 0.9659
F1: 0.9117
Precision: 0.8761
Recall: 0.9502

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2014	1.0	1629	0.1675	0.9659	0.9117	0.8761	0.9502

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Aug 6, 2023
Updated: Aug 6, 2023