CoolFace
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marekk/video_soccer_goal_detection

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

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Video soccer goal detection

This model is a fine-tuned version of MCG-NJU/videomae-base. It achieves the following results on the evaluation set:

  • —Loss: 0.2953
  • —Accuracy: 0.95

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: 5
  • —evalbatchsize: 5
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 119

Training results

Training LossEpochStepValidation LossAccuracy
0.66050.15180.57380.7
0.40131.15360.71920.65
0.66082.15540.56410.85
0.16413.15720.41440.85
0.28994.15900.90200.7
0.22045.151080.29150.95
0.11416.091190.29530.95

Framework versions

  • —Transformers 4.34.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.14.1