videomae-base-finetuned-slrbd002 – AI Model by XenXeon | AlphaNeural AI

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XenXeon/
videomae-base-finetuned-slrbd002

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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videomae-base-finetuned-slrbd002

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: 0.4824
Accuracy: 0.875

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: 1800

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.6684	0.05	90	3.6696	0.025
3.4781	1.05	180	3.3494	0.1313
3.2885	2.05	270	3.1702	0.125
2.7847	3.05	360	2.7654	0.2562
2.4107	4.05	450	2.6756	0.2437
1.7783	5.05	540	1.9950	0.4813
1.3054	6.05	630	1.4908	0.6188
0.5868	7.05	720	1.4568	0.6188
0.4388	8.05	810	0.9511	0.7312
0.2187	9.05	900	1.1580	0.65
0.1665	10.05	990	0.6565	0.8313
0.0959	11.05	1080	0.5731	0.8562
0.0273	12.05	1170	0.6637	0.8063
0.02	13.05	1260	0.5048	0.875
0.0137	14.05	1350	0.4815	0.8688
0.0261	15.05	1440	0.5649	0.8438
0.013	16.05	1530	0.5419	0.8375
0.0123	17.05	1620	0.4864	0.8812
0.0527	18.05	1710	0.4725	0.8875
0.011	19.05	1800	0.4824	0.875

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0