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deepfake-video-model-100 – AI Model by Hemgg | AlphaNeural AI
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Hemgg
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deepfake-video-model-100
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safetensors
videomae
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
us
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deepfake-video-model-100
This model is a fine-tuned version of
MCG-NJU/videomae-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 1.0
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0
1.0
30
0.0000
1.0
0.0
2.0
60
0.0000
1.0
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 4.0.0
Tokenizers 0.14.1
