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Awais1718/videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset

sourceHugging Facecc-by-nc-4.0updated 2y agoView on Hugging Face
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Model Card

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videomae-base-finetuned-kinetics-finetuned-shoplifting-dataset

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: 0.9494
  • —F1: 0.7192

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
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 880

Training results

Training LossEpochStepValidation LossF1
0.18240.1011891.00680.6832
0.3341.11770.92600.6805
0.22022.12650.98560.7139
0.20743.13530.94940.7192
0.09164.14411.38670.6711
0.10925.15291.37580.6920
0.08046.16171.37880.6968
0.06547.17051.29700.6973
0.00658.17931.47800.7006
0.00249.09898801.44640.7006

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.2.0
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1