videomae-base-finetuned-ucf_crime

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: 1.4776
• Accuracy: 0.3720

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: 5
• 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: 640

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9349	0.06	40	1.9845	0.2332
1.8834	1.06	80	1.9134	0.3009
1.7506	2.06	120	1.8460	0.3080
1.6494	3.06	160	1.7691	0.2624
1.6189	4.06	200	1.7939	0.2537
1.6895	5.06	240	1.7809	0.2706
1.517	6.06	280	1.6773	0.3244
1.308	7.06	320	1.8364	0.3152
1.2267	8.06	360	2.0392	0.2440
1.4347	9.06	400	1.9110	0.2450
1.1567	10.06	440	1.7606	0.2840
1.1937	11.06	480	1.9803	0.2737
1.0729	12.06	520	1.8355	0.3352
1.0721	13.06	560	1.7808	0.3311
0.6594	14.06	600	1.8175	0.3060
0.7636	15.06	640	1.8409	0.3409

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3