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videomae-base-fake-video-classification – AI Model by muneeb1812 | AlphaNeural AI
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muneeb1812
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videomae-base-fake-video-classification
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transformers
pytorch
tensorboard
videomae
video-classification
generated_from_trainer
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-fake-video-classification
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: 0.8607
Accuracy: 0.5762
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: 5e-05
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
training_steps: 372
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2139
1.0
372
0.6473
0.7483
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
