video_soccer_goal_detection

marekk/video_soccer_goal_detection

video_soccer_goal_detection is a video classification model from marekk. 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: Sep 29, 2023
Updated: Dec 25, 2024
SHA: c43eebc4

Base models

MCG-NJU/videomae-base

Datasets

marekk/soccer_goal

Model card

From the Hugging Face model README

Video soccer goal detection

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

Loss: 0.2953
Accuracy: 0.95

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: 5
eval_batch_size: 5
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: 119

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6605	0.15	18	0.5738	0.7
0.4013	1.15	36	0.7192	0.65
0.6608	2.15	54	0.5641	0.85
0.1641	3.15	72	0.4144	0.85
0.2899	4.15	90	0.9020	0.7
0.2204	5.15	108	0.2915	0.95
0.1141	6.09	119	0.2953	0.95

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Sep 29, 2023
Updated: Dec 25, 2024