videomae-base-finetuned-dd

RodrigoFardin/videomae-base-finetuned-dd

videomae-base-finetuned-dd is a video classification model from RodrigoFardin. 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

22% of all-time downloads

All-time downloads

Public

Parameters

86.2M

6.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors345 MB · 100%

At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: May 16, 2024
Updated: May 20, 2024
SHA: 97abee3b

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-dd

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: 0.4577
Accuracy: 0.8909

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: 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: 1352

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5777	0.2485	336	0.8214	0.8373
1.144	1.2493	673	0.4453	0.8754
0.2783	2.2493	1010	0.8930	0.8171
0.0037	3.2470	1344	0.4077	0.8979
0.2113	4.0059	1352	0.4079	0.8979

Framework versions

Transformers 4.40.2
Pytorch 1.12.0+cu113
Datasets 2.19.1
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 16, 2024
Updated: May 20, 2024