videomae-base-finetuned-kinetics-finetuned-dcsass-shoplifting-subset

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: 0.3803
• Accuracy: 0.8874

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: 4
• eval_batch_size: 4
• 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: 780

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3314	0.2013	157	0.6146	0.8219
0.3263	1.2013	314	0.6184	0.8288
0.6332	2.2013	471	0.4275	0.8425
0.0405	3.2013	628	0.7687	0.8425
0.1579	4.1949	780	0.5852	0.8562

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1