distillBERT-misinformation-classifier

FriedGil/distillBERT-misinformation-classifier

distillBERT-misinformation-classifier is a text classification model from FriedGil. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 5, 2023
Updated: Sep 5, 2023
SHA: 80c2733a

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Base models

Model card

From the Hugging Face model README

distillBERT-misinformation-classifier

This model is a fine-tuned version of distilbert-base-uncased on the Kaggle Fake News dataset. It achieves the following results on the evaluation set:

Loss: 0.0094
Accuracy: 0.9978

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1411	1.0	800	0.0104	0.9974
0.0101	2.0	1600	0.0094	0.9978

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 5, 2023
Updated: Sep 5, 2023