videomae-base-finetuned-fight-dataset

Oanhha9898/videomae-base-finetuned-fight-dataset

videomae-base-finetuned-fight-dataset is a video classification model from Oanhha9898. 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: Nov 24, 2023
Updated: Nov 24, 2023
SHA: 53a806f4

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-fight-dataset

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: 1.7203
Accuracy: 0.6656

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: 4
eval_batch_size: 4
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: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.302	0.25	500	3.0792	0.5066
0.0239	1.25	1000	1.7203	0.6656
0.0083	2.25	1500	2.5333	0.5530
0.0009	3.25	2000	2.1635	0.6556

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Nov 24, 2023
Updated: Nov 24, 2023