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deepfake_model_Video-MAE – AI Model by Hemgg | AlphaNeural AI
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Hemgg
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deepfake_model_Video-MAE
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
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deepfake_model_Video-MAE
This model is a fine-tuned version of
MCG-NJU/videomae-base-finetuned-kinetics
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3743
Accuracy: 0.8937
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1978
1.0
686
0.3743
0.8937
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
