videomae-base-finetuned-ucf101-subset

anvaldesg/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a video classification model from anvaldesg. 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: Sep 24, 2024
Updated: Sep 24, 2024
SHA: 660d8b8f

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: 0.2249

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: 8
eval_batch_size: 8
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: 222

Training results

Training Loss	Epoch	Step	Validation Loss
2.1532	0.1712	38	1.9601
1.0818	1.1712	76	1.0123
0.4907	2.1712	114	0.6228
0.2464	3.1712	152	0.2450
0.0926	4.1712	190	0.1909
0.0558	5.1441	222	0.2249

Framework versions

Transformers 4.44.2
Pytorch 2.1.0+cu121
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Sep 24, 2024
Updated: Sep 24, 2024