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meermoazzam41/videomae-base-finetuned-human-activity-classification

sourceHugging Facecc-by-nc-4.0updated 3y agoView on Hugging Face
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Model Card

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videomae-base-finetuned-human-activity-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: 0.9059
  • —Accuracy: 0.4286

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: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 32

Training results

Training LossEpochStepValidation LossAccuracy
No log0.2890.72520.6
0.78941.28180.94050.6
0.71182.28270.85480.6
0.73593.16320.83140.6

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1+cu117
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3