covid-twitter-bert-v2_epoch3_batch4_lr2e-05_w0.01

YanJiangJerry/covid-twitter-bert-v2_epoch3_batch4_lr2e-05_w0.01

covid-twitter-bert-v2_epoch3_batch4_lr2e-05_w0.01 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 5, 2023
Updated: Aug 5, 2023
SHA: baff921a

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Base models

digitalepidemiologylab/covid-twitter-bert-v2

Model card

From the Hugging Face model README

covid-twitter-bert-v2_epoch3_batch4_lr2e-05_w0.01

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: 0.5108
Accuracy: 0.7497
F1: 0.6879
Precision: 0.6425
Recall: 0.7403

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	Accuracy	F1	Precision	Recall
0.6731	1.0	788	0.6654	0.6274	0.0	0.0	0.0
0.6727	2.0	1576	0.6396	0.6274	0.0	0.0	0.0
0.6462	3.0	2364	0.5108	0.7497	0.6879	0.6425	0.7403

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