covid-twitter-bert-v2_3_4_2e-05_0.01

YanJiangJerry/covid-twitter-bert-v2_3_4_2e-05_0.01

covid-twitter-bert-v2_3_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. --

Downloads · 30 days

18% of all-time downloads

All-time downloads

Public

Repo size

5.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 5, 2023
Updated: Aug 5, 2023
SHA: 284553c7

Try a prompt

Base models

digitalepidemiologylab/covid-twitter-bert-v2

Model card

From the Hugging Face model README

covid-twitter-bert-v2_3_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: 0.8148
F1: 0.7871
Recall: 0.7871
Precision: 0.7871

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Precision
0.8198	1.0	745	0.8577	0.6846	0.6846	0.6846
0.7384	2.0	1490	0.6214	0.7709	0.7709	0.7709
0.5273	3.0	2235	0.8148	0.7871	0.7871	0.7871

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 5, 2023
Updated: Aug 5, 2023