videomae-base-finetuned-SLT-subset

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: 0.4062
  • 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
  • train_batch_size: 2
  • eval_batch_size: 2
  • 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: 944

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.8603 0.06 59 3.7147 0.025
3.7747 1.06 118 3.6984 0.05
3.83 2.06 177 3.5418 0.075
3.5065 3.06 236 3.3917 0.075
3.6541 4.06 295 3.3558 0.1
3.5419 5.06 354 3.2460 0.15
3.2664 6.06 413 3.0603 0.2
3.2295 7.06 472 2.7967 0.425
2.829 8.06 531 2.3743 0.625
2.5769 9.06 590 1.9349 0.675
2.0383 10.06 649 1.3413 0.875
1.8328 11.06 708 0.9239 0.925
1.0447 12.06 767 0.6702 0.975
0.8312 13.06 826 0.5127 1.0
0.7203 14.06 885 0.4366 1.0
0.6204 15.06 944 0.4062 1.0

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0
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