NiklasTUM/VideoMAEv2-Huge-finetuned-deception-dataset-mae-huge

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VideoMAEv2-Huge-finetuned-deception-dataset-mae-huge

This model is a fine-tuned version of OpenGVLab/VideoMAEv2-Huge on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.3499
• —Accuracy: 0.4074

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 300

Training results

Framework versions

• —Transformers 4.48.0
• —Pytorch 2.1.0+cu121
• —Datasets 2.14.4
• —Tokenizers 0.21.1