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

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

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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-frequency

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: 1.2570
Accuracy: 0.7455

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: 5920

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5871	0.1	592	1.1419	0.7706
0.5309	1.1	1184	1.1548	0.7634
0.8992	2.1	1776	1.1477	0.7742
0.5519	3.1	2368	1.0269	0.7957
1.366	4.1	2960	1.3621	0.7885
2.3144	5.1	3552	0.8907	0.7634
1.6161	6.1	4144	1.0485	0.7384
0.0673	7.1	4736	1.2847	0.7276
0.0042	8.1	5328	1.2755	0.7455
0.0017	9.1	5920	1.2570	0.7455

Framework versions

Transformers 4.42.4
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1