ViViT-b-16x2-ShopLifting-Dataset

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0027
• 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: 596

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0004	0.5	299	0.2661	0.9528
0.0001	1.5	596	0.0002	1.0

Framework versions

• Transformers 4.39.0
• Pytorch 2.1.0
• Datasets 2.18.0
• Tokenizers 0.15.2