videomae-base-finetuned-good-gestureUnitsV3

alexgrigore/videomae-base-finetuned-good-gestureUnitsV3

videomae-base-finetuned-good-gestureUnitsV3 is a video classification model from alexgrigore. 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: Jun 8, 2024
Updated: Jun 8, 2024
SHA: 80c82ac8

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-good-gestureUnitsV3

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:

Accuracy: 0.8932
Loss: 0.3490
Accuracy Gunit: 0.5417
Accuracy Nothing: 1.0

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-06
train_batch_size: 8
eval_batch_size: 8
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: 340

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Accuracy Gunit	Accuracy Nothing
0.7047	0.05	17	0.5620	0.7024	0.575	0.5556
0.6958	1.05	34	0.3802	0.7165	0.725	0.2099
0.6534	2.05	51	0.3719	0.7150	0.85	0.1358
0.655	3.05	68	0.3223	0.7506	0.975	0.0
0.6545	4.05	85	0.4298	0.6991	0.95	0.1728
0.6321	5.05	102	0.4711	0.6750	0.95	0.2346
0.5883	6.05	119	0.7438	0.6142	0.9	0.6667
0.5045	7.05	136	0.8182	0.5495	0.9	0.7778
0.455	8.05	153	0.7190	0.5723	0.925	0.6173
0.4191	9.05	170	0.9339	0.3709	0.85	0.9753
0.365	10.05	187	0.9091	0.3547	0.85	0.9383
0.2593	11.05	204	0.8926	0.3632	0.85	0.9136
0.2225	12.05	221	0.9421	0.2457	0.85	0.9877
0.2121	13.05	238	0.9256	0.2619	0.85	0.9630
0.1506	14.05	255	0.9504	0.2190	0.85	1.0
0.1335	15.05	272	0.9339	0.2221	0.85	0.9753
0.1039	16.05	289	0.9421	0.2107	0.85	0.9877
0.1036	17.05	306	0.9421	0.2059	0.85	0.9877
0.1019	18.05	323	0.9421	0.2063	0.85	0.9877
0.1181	19.05	340	0.9504	0.2103	0.85	1.0

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Jun 8, 2024
Updated: Jun 8, 2024