videomae-base-finetuned-good-gestureUnitV13

alexgrigore/videomae-base-finetuned-good-gestureUnitV13

videomae-base-finetuned-good-gestureUnitV13 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 20, 2024
Updated: Jun 20, 2024
SHA: 8abc8c3e

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-good-gestureUnitV13

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: 0.9540
Loss: 0.1660
Accuracy Gunit: 0.9048
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: 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: 320

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss	Accuracy Gunit	Accuracy Nothing
0.6625	0.0531	17	0.5893	0.6896	1.0	0.2581
0.6423	1.0531	34	0.5893	0.6737	1.0	0.2581
0.6252	2.0531	51	0.6071	0.6100	0.72	0.5161
0.5455	3.0531	68	0.7321	0.5558	0.96	0.5484
0.4912	4.0531	85	0.8393	0.4599	0.76	0.9032
0.383	5.0531	102	0.8571	0.3426	0.72	0.9677
0.2696	6.0531	119	0.8393	0.3441	0.72	0.9355
0.1547	7.0531	136	0.8571	0.3526	0.72	0.9677
0.3174	8.0531	153	0.8929	0.3234	0.8	0.9677
0.1324	9.0531	170	0.8393	0.5808	0.68	0.9677
0.0265	10.0531	187	0.8393	0.6995	0.68	0.9677
0.2346	11.0531	204	0.8571	0.7486	0.68	1.0
0.0597	12.0531	221	0.8393	0.7536	0.68	0.9677
0.0103	13.0531	238	0.8929	0.4090	0.88	0.9032
0.0358	14.0531	255	0.8571	0.8257	0.68	1.0
0.0047	15.0531	272	0.875	0.6291	0.76	0.9677
0.0054	16.0531	289	0.8393	0.8420	0.68	0.9677
0.0024	17.0531	306	0.8393	0.8389	0.68	0.9677
0.0027	18.0437	320	0.8393	0.7864	0.68	0.9677

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 20, 2024
Updated: Jun 20, 2024