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MANMEET75/videomae-base-finetuned-HumanActivityRecognition

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

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videomae-base-finetuned-HumanActivityRecognition

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: 0.2339
  • —Accuracy: 0.9375

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: 36

Training results

Training LossEpochStepValidation LossAccuracy
0.66630.5278190.61020.7576
0.44221.4722360.37740.8182

Framework versions

  • —Transformers 4.42.3
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1