vivit-b-16x2-kinetics400-UCF-Crime

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

• Loss: 1.9757
• Accuracy: 0.6149

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: 3132

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2072	0.06	196	1.6400	0.5518
1.5513	1.06	392	1.4988	0.5634
1.1038	2.06	588	1.5328	0.5861
0.9462	3.06	784	1.3932	0.6178
0.7387	4.06	980	1.5449	0.6060
0.5085	5.06	1176	1.3075	0.6287
0.4443	6.06	1372	1.6743	0.6001
0.4695	7.06	1568	1.5287	0.6172
0.4409	8.06	1764	1.7749	0.6089
0.1158	9.06	1960	1.9027	0.6076
0.1183	10.06	2156	1.9622	0.6085
0.1322	11.06	2352	2.0872	0.6152
0.1881	12.06	2548	2.0095	0.6094
0.0932	13.06	2744	1.9398	0.6232
0.0303	14.06	2940	1.9994	0.6134
0.0513	15.06	3132	1.9757	0.6149

Framework versions

• Transformers 4.33.2
• Pytorch 1.10.0+cu113
• Datasets 2.14.5
• Tokenizers 0.13.3