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videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2

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: 1.7062
  • Accuracy: 0.5512

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 1053

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9728 0.1121 118 1.8082 0.2913
1.5903 1.1121 236 1.8038 0.3786
1.2371 2.1121 354 1.4667 0.4563
0.9635 3.1121 472 1.4187 0.5631
0.3984 4.1121 590 1.3990 0.5631
0.1962 5.1121 708 1.4243 0.5825
0.1952 6.1121 826 1.5571 0.6019
0.0319 7.1121 944 1.5844 0.5874
0.0203 8.1035 1053 1.5794 0.6214

Framework versions

  • Transformers 4.41.0
  • Pytorch 1.12.0+cu116
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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F32
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