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README.md
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model-index:
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- name: videomae-large-finetuned-deepfake-subset
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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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should probably proofread and complete it, then remove this comment. -->
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# videomae-large-finetuned-deepfake-subset
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on
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It achieves the following results on the evaluation set:
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- Loss: 0.2588
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## Training and evaluation data
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More information needed
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## Training procedure
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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model-index:
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- name: videomae-large-finetuned-deepfake-subset
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results: []
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metrics:
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- f1
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---
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# videomae-large-finetuned-deepfake-subset
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on the [Deepfake
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Detection Challenge](https://www.kaggle.com/competitions/deepfake-detection-challenge) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2588
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## Training and evaluation data
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## Training procedure
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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