videomae-base-finetuned-ucf101-subset

vfr800hu/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a video classification model from vfr800hu. 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

39% of all-time downloads

All-time downloads

Public

Parameters

86.2M

1.4 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: Oct 2, 2024
Updated: Oct 2, 2024
SHA: b9b2021d

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-ucf101-subset

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: 0.9025
Accuracy: 0.8429

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: 16
eval_batch_size: 16
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: 72

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3629	0.2639	19	2.1440	0.3
1.9215	1.2639	38	1.5365	0.5857
1.1734	2.2639	57	0.9817	0.8143
0.7653	3.2083	72	0.9025	0.8429

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Oct 2, 2024
Updated: Oct 2, 2024