vivit-b-16x2-mixed-dataset

yehiawp4/vivit-b-16x2-mixed-dataset

vivit-b-16x2-mixed-dataset is a video classification model from yehiawp4. Use it for the video classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Video Classification
Library: transformers
License: mit
Model type: vivit
Access: Public
Created: Jul 2, 2024
Updated: Jul 2, 2024
SHA: e9724267

Base models

google/vivit-b-16x2-kinetics400

Model card

From the Hugging Face model README

vivit-b-16x2-mixed-dataset

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: 0.1118
Accuracy: 0.9740

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: 2
eval_batch_size: 2
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: 7044

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2111	0.17	1174	0.8879	0.7863
0.0911	1.17	2348	0.5390	0.8831
0.0021	2.17	3522	0.2326	0.9355
0.0028	3.17	4696	0.3125	0.9395
0.0008	4.17	5870	0.3077	0.9476
0.125	5.17	7044	0.1982	0.9617

Framework versions

Transformers 4.39.0
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2

Task: Video Classification
Library: transformers
Type: vivit
License: mit
Created: Jul 2, 2024
Updated: Jul 2, 2024