videomae-base-finetuned-human-activity-classification

meermoazzam41/videomae-base-finetuned-human-activity-classification

videomae-base-finetuned-human-activity-classification is a video classification model from meermoazzam41. 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: May 23, 2023
Updated: Sep 7, 2023
SHA: a6ab232f

Model card

From the Hugging Face model README

videomae-base-finetuned-human-activity-classification

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: 0.9059
Accuracy: 0.4286

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: 3
eval_batch_size: 3
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: 32

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.28	9	0.7252	0.6
0.7894	1.28	18	0.9405	0.6
0.7118	2.28	27	0.8548	0.6
0.7359	3.16	32	0.8314	0.6

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 23, 2023
Updated: Sep 7, 2023