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kalita/videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

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

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videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae

This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0486
  • —Accuracy: 1.0

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —training_steps: 448

Training results

Training LossEpochStepValidation LossAccuracy
0.48520.12560.47530.7143
0.62941.121120.03721.0
0.41412.121680.00601.0
0.21213.122240.00621.0
0.88814.122800.00461.0
0.30035.123360.00541.0
0.10276.123920.16110.9286
0.00297.124480.08980.9286

Framework versions

  • —Transformers 4.39.3
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.1.0
  • —Tokenizers 0.15.2