AlexanderHolmes0
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README.md
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- name: Fake-News-Detector
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results: []
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widget:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fake-News-Detector
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0096
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- Accuracy: 0.9976
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- Transformers 4.38.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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- name: Fake-News-Detector
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results: []
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widget:
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- text: >-
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In a shocking turn of events, reports have surfaced suggesting that a
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clandestine meeting of world leaders took place on Mars to discuss plans for
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the colonization of the Red Planet. According to anonymous sources within
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the highest echelons of government, the summit was organized by a coalition
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of space agencies and private corporations aiming to expedite humanity's
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expansion beyond Earth. The meeting purportedly took place in a hidden
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underground facility on Mars, accessible only to a select few individuals
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privy to the ambitious project.
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example_title: Mars Meeting
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- text: >-
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In a groundbreaking revelation that has sent shockwaves through the
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scientific community, Dr. Rachel Bennett, a renowned researcher at the
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prestigious Cambridge Institute of Biotechnology, claims to have unlocked
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the elusive secret to eternal youth. According to Dr. Bennett, years of
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tireless research have culminated in the discovery of a revolutionary
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anti-aging compound derived from a rare Amazonian plant known only to
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indigenous tribes. Initial trials on laboratory mice have yielded
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astonishing results, with subjects exhibiting signs of reversed aging and
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enhanced vitality.
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example_title: Dr. Bennett
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- text: Apples are orange
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example_title: Oranges are Apples
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- text: Donald Trump is the 45th president of the United States.
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example_title: True News
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datasets:
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- AlexanderHolmes0/true-fake-news
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language:
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- en
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fake-News-Detector
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [true-fake-news](https://huggingface.co/datasets/AlexanderHolmes0/true-fake-news) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0096
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- Accuracy: 0.9976
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- Transformers 4.38.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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