videoMAE-ucf-crime – AI Model by pmukherjee98 | AlphaNeural AI

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pmukherjee98/
videoMAE-ucf-crime

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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videoMAE-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: 2.1069
Accuracy: 0.3590

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 1140

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3975	0.1	114	2.6636	0.0720
2.371	1.1	228	2.2500	0.2935
2.4448	2.1	342	2.1880	0.3568
2.058	3.1	456	2.1997	0.2068
1.8088	4.1	570	2.2513	0.3382
1.9371	5.1	684	2.3198	0.2400
1.8718	6.1	798	2.1775	0.3530
1.7635	7.1	912	2.0305	0.3983
1.3494	8.1	1026	2.1044	0.3601
1.3346	9.1	1140	2.1069	0.3590

Framework versions

Transformers 4.55.1
Pytorch 2.2.0+cu121
Datasets 4.0.0
Tokenizers 0.21.4