videomae-large-finetuned-kinetics-mopping

gigasurgeon/videomae-large-finetuned-kinetics-mopping

videomae-large-finetuned-kinetics-mopping is a video classification model from gigasurgeon. 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

10% of all-time downloads

All-time downloads

346

Public

Repo size

226 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.2 GB · 100%

At a glance

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: May 18, 2023
Updated: May 21, 2023
SHA: 0dc935a9

Model card

From the Hugging Face model README

videomae-large-finetuned-kinetics-mopping

This model is a fine-tuned version of MCG-NJU/videomae-large-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4468
Accuracy: 0.7368

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: 1672

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6868	0.25	418	0.7474	0.2115
0.7265	1.25	836	0.6472	0.6026
0.6854	2.25	1254	0.6211	0.6346
0.7829	3.25	1672	0.5959	0.7115

Framework versions

Transformers 4.29.2
Pytorch 2.0.0+cu117
Datasets 2.12.0
Tokenizers 0.13.3

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 18, 2023
Updated: May 21, 2023