vivit-b-16x2-kinetics400-finetuned-vivit-diagnose – AI Model by yangboyuan | AlphaNeural AI

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yangboyuan/
vivit-b-16x2-kinetics400-finetuned-vivit-diagnose

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video-classification

generated_from_trainer

google/vivit-b-16x2-kinetics400

endpoints_compatible

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vivit-b-16x2-kinetics400-finetuned-vivit-diagnose

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: 1.8988
Accuracy: 0.6953

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: 1
eval_batch_size: 1
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: 3430

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8386	0.1	343	1.5448	0.5448
1.1419	1.1	686	1.2918	0.5412
0.778	2.1	1029	1.4229	0.7240
0.7591	3.1	1372	1.5418	0.6918
0.8103	4.1	1715	1.3608	0.6810
0.3701	5.1	2058	1.6575	0.6810
0.2027	6.1	2401	1.8233	0.6774
0.0002	7.1	2744	1.9324	0.6738
0.1793	8.1	3087	1.8483	0.6953
0.0007	9.1	3430	1.8988	0.6953

Framework versions

Transformers 4.42.4
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1