Pratham255
/

truthlens-fake-news-detector

Text Classification

Trained with AutoTrain

text-embeddings-inference

Model card Files Files and versions

Metrics Training metrics Community

Model Trained Using AutoTrain

Problem type: Text Classification

Validation Metrics

loss: 0.5539777874946594

f1: 0.4013840830449827

precision: 0.5829145728643216

recall: 0.30606860158311344

auc: 0.7118354494963485

accuracy: 0.7305295950155763

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Safetensors

Model size

67M params

Tensor type

F32

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Model tree for Pratham255/truthlens-fake-news-detector

Base model

distilbert/distilbert-base-uncased

Finetuned

this model

Dataset used to train Pratham255/truthlens-fake-news-detector

Spaces using Pratham255/truthlens-fake-news-detector 3