videomae-large-cctv-brawl_extended_v1

onarganogun/videomae-large-cctv-brawl_extended_v1

videomae-large-cctv-brawl_extended_v1 is a video classification model from onarganogun. 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 cc-by-nc-4.0.

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

Downloads · 30 days

5% of all-time downloads

All-time downloads

336

Public

Repo size

7.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.2 GB · 100%

At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Nov 2, 2023
Updated: Nov 2, 2023
SHA: e3c1af15

Base models

MCG-NJU/videomae-large

Model card

From the Hugging Face model README

videomae-large-cctv-brawl_extended_v1

This model is a fine-tuned version of MCG-NJU/videomae-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4430
Accuracy: 0.8252

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: 3e-07
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: 12565

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4193	0.2	2514	0.4839	0.6985
0.3542	1.2	5028	0.4445	0.7593
0.2673	2.2	7542	0.4344	0.7993
0.3185	3.2	10056	0.4328	0.8201
0.4006	4.2	12565	0.4430	0.8252

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Nov 2, 2023
Updated: Nov 2, 2023