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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-large |
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tags: |
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- generated_from_trainer |
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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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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 4470 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6169 | 0.1 | 447 | 0.6023 | |
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| 0.6086 | 1.1 | 894 | 0.5055 | |
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| 0.376 | 2.1 | 1341 | 0.4250 | |
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| 0.3863 | 3.1 | 1788 | 0.6712 | |
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| 0.249 | 4.1 | 2235 | 0.3951 | |
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| 0.3233 | 5.1 | 2682 | 0.4969 | |
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| 0.1995 | 6.1 | 3129 | 0.3744 | |
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| 0.0874 | 7.1 | 3576 | 0.4104 | |
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| 0.2518 | 8.1 | 4023 | 0.2647 | |
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| 0.0118 | 9.1 | 4470 | 0.3337 | |
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### Framework versions |
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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 |
