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Videomae Base Finetuned 1e 08 Bs4 Ep2
A video understanding model fine-tuned based on MCG-NJU/videomae-base, trained on an unknown dataset
Downloads 14
Release Time : 4/10/2025
Model Overview
This model is a video understanding model based on the VideoMAE architecture, fine-tuned for tasks such as video classification or action recognition
Model Features
Based on VideoMAE Architecture
Utilizes video masked autoencoder architecture, suitable for video understanding tasks
Small Batch Fine-tuning
Fine-tuned with a batch size of 4 and an extremely low learning rate (1e-08)
Model Capabilities
Video Feature Extraction
Video Classification
Action Recognition
Use Cases
Video Analysis
Video Content Classification
Classify and recognize video content
Validation set accuracy 10.19%
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