videomae-base-finetuned-good-gesturePhaseV11

alexgrigore/videomae-base-finetuned-good-gesturePhaseV11

videomae-base-finetuned-good-gesturePhaseV11 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 10, 2024
Updated: Jun 10, 2024
SHA: 4029416a

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-good-gesturePhaseV11

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: 0.9461
Loss: 0.1967
Accuracy Hold: 1.0
Accuracy Stroke: 0.4286
Accuracy Recovery: 0.8947
Accuracy Preparation: 0.9686
Accuracy Unknown: 0.9286

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: 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: 1260

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Accuracy Hold	Accuracy Stroke	Accuracy Recovery	Accuracy Preparation	Accuracy Unknown
1.2097	0.1008	127	0.6900	1.0243	0.0	0.0	0.0	1.0	0.0
0.8	1.1008	254	0.6900	0.8717	0.0	0.0	0.0	1.0	0.0
0.5199	2.1008	381	0.7729	0.6725	0.0	0.0	0.1765	0.9810	0.8636
0.3134	3.1008	508	0.8428	0.4715	0.3077	0.0	0.4118	1.0	0.9091
0.1561	4.1008	635	0.8952	0.4363	0.7692	0.0	0.7059	1.0	0.6818
0.0429	5.1008	762	0.9432	0.2211	0.8846	0.5	0.7059	0.9937	0.9545
0.2294	6.1008	889	0.9476	0.2094	0.8846	0.1667	0.8824	1.0	0.9091
0.1214	7.1008	1016	0.9607	0.1586	0.8846	0.6667	0.8824	0.9937	0.9545
0.1478	8.1008	1143	0.9432	0.1607	0.8846	0.6667	0.8824	0.9684	0.9545
0.1156	9.0929	1260	0.9738	0.1177	1.0	0.6667	0.8824	0.9937	0.9545

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 10, 2024
Updated: Jun 10, 2024