videomae-base-cctv-brawl_extended

onarganogun/videomae-base-cctv-brawl_extended

videomae-base-cctv-brawl_extended 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. --

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At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Oct 31, 2023
Updated: Nov 1, 2023
SHA: 5abbe53d

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-cctv-brawl_extended

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: 1.6457
Accuracy: 0.5962

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: 1e-05
train_batch_size: 12
eval_batch_size: 12
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: 5022

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.232	0.17	838	0.5134	0.7813
0.1099	1.17	1676	0.7192	0.7824
0.2178	2.17	2514	0.4419	0.8299
0.0697	3.17	3352	0.6157	0.8448
0.2116	4.17	4190	0.4998	0.8644
0.1655	5.17	5022	0.5615	0.8542

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: Oct 31, 2023
Updated: Nov 1, 2023