videomae-base-finetuned-ucf101

Q-Wind/videomae-base-finetuned-ucf101

videomae-base-finetuned-ucf101 is a video classification model from Q-Wind. 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

618

Public

Repo size

2.1 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: Jun 30, 2023
Updated: Jul 2, 2023
SHA: eda9d943

Model card

From the Hugging Face model README

videomae-base-finetuned-ucf101

This model is a fine-tuned version of MCG-NJU/videomae-base on UCF101 dataset. It achieves the following results on the evaluation set:

Loss: 1.1001
Accuracy: 0.8054

Model description

transformers.VideoMAEForVideoClassification

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: 2
eval_batch_size: 2
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: 19780

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0704	0.2	3956	1.7583	0.5346
0.1936	1.2	7912	1.0780	0.7189
0.1014	2.2	11868	1.1839	0.7416
0.0049	3.2	15824	1.0054	0.7901
0.0012	4.2	19780	0.9529	0.8205

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Jun 30, 2023
Updated: Jul 2, 2023