videomae-base-finetuned-ucf101-subset

Fulwa/videomae-base-finetuned-ucf101-subset

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

1% of all-time downloads

All-time downloads

274

Public

Parameters

86.2M

2.1 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 8, 2024
Updated: May 10, 2024
SHA: 718726ec

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: 2.3963
Accuracy: 0.1154

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: 36

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.4449	0.3889	14	2.4051	0.0769
2.4615	1.3889	28	2.3911	0.1154
2.4631	2.2222	36	2.3963	0.1154

Framework versions

Transformers 4.40.1
Pytorch 2.1.2+rocm6.0
Datasets 2.19.1
Tokenizers 0.19.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 8, 2024
Updated: May 10, 2024