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README.md
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model-index:
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- name: NELA-GT_Classifier
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results: []
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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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# NELA-GT_Classifier
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This model was
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## Model description
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## Intended uses & limitations
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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model-index:
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- name: NELA-GT_Classifier
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results: []
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metrics:
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- f1
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- accuracy
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- roc_auc
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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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# NELA-GT_Classifier
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This model was Fine-Tuned on the NELA-GT dataset.
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## Model description
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This is a pretrained distilbert-uncased model finetuned for Fake News classification.
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## Intended uses & limitations
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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