videomae-base-finetuned-basketball-subset-v3-25epoch

yerx/videomae-base-finetuned-basketball-subset-v3-25epoch

videomae-base-finetuned-basketball-subset-v3-25epoch is a video classification model from yerx. 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

1% of all-time downloads

All-time downloads

576

Public

Repo size

17.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin345 MB · 100%

At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Apr 12, 2023
Updated: Apr 12, 2023
SHA: b1a44bec

Model card

From the Hugging Face model README

videomae-base-finetuned-basketball-subset-v3-25epoch

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: 0.8922
Accuracy: 0.9

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: 5100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2489	0.04	202	0.7252	0.7
0.5366	1.04	404	1.2745	0.6
0.9659	2.04	606	0.7013	0.85
0.0226	3.04	808	1.3065	0.7
0.5437	4.04	1010	2.0397	0.7
0.0002	5.04	1212	1.8936	0.75
0.0003	6.04	1414	1.4473	0.8
0.0193	7.04	1616	1.1602	0.75
0.0001	8.04	1818	0.8922	0.9
0.0001	9.04	2020	1.0781	0.85
0.0	10.04	2222	1.1948	0.85
0.0	11.04	2424	1.2431	0.85
0.0	12.04	2626	1.2794	0.85
0.0	13.04	2828	1.3082	0.85
0.0	14.04	3030	1.3332	0.85
0.0	15.04	3232	1.3539	0.85
0.0	16.04	3434	1.3793	0.85
0.0	17.04	3636	1.4510	0.8
0.0	18.04	3838	1.5646	0.8
0.0	19.04	4040	1.6535	0.8
0.0	20.04	4242	1.7017	0.8
0.0	21.04	4444	1.7366	0.8
0.0	22.04	4646	1.7639	0.8
0.0	23.04	4848	1.7792	0.8
0.0	24.04	5050	1.7855	0.8
0.0	25.01	5100	1.7857	0.8

Framework versions

Transformers 4.26.1
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.12.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Apr 12, 2023
Updated: Apr 12, 2023