videomae-base-finetuned-ucf101-subset

Gokulapriyan9677/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a video classification model from Gokulapriyan9677. 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: May 3, 2024
Updated: May 13, 2024
SHA: 81b3a7fe

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: 2.1256
Accuracy: 0.2353

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: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.3125	5	2.1706	0.0
2.1074	1.3125	10	2.0516	0.2222
2.1074	2.3125	15	2.1601	0.1111
2.1074	3.0625	16	1.9285	0.2222

Framework versions

Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 3, 2024
Updated: May 13, 2024