twitter-roberta-base-stance-abortionV3

pmpc/twitter-roberta-base-stance-abortionV3

twitter-roberta-base-stance-abortionV3 is a text classification model from pmpc. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Sep 1, 2022
Updated: Sep 1, 2022
SHA: d3bb983e

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Model card

From the Hugging Face model README

twitter-roberta-base-stance-abortionV3

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-stance-abortion on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5095
F1: 0.7917

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.8492	1.0	12	0.4862	0.7917
0.7291	2.0	24	0.4264	0.7917
0.5465	3.0	36	0.6450	0.7917
0.5905	4.0	48	0.5857	0.7917
0.4556	5.0	60	0.5095	0.7917

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: roberta
Created: Sep 1, 2022
Updated: Sep 1, 2022