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Datatrain Videomae Base Finetuned Lr1e 07 Poly3
A video understanding model fine-tuned from MCG-NJU/videomae-base, trained on an unknown dataset with an accuracy of 11.1%
Downloads 13
Release Time : 4/11/2025
Model Overview
This model is a video understanding model based on the VideoMAE architecture, fine-tuned for specific tasks, suitable for video content analysis tasks
Model Features
Based on VideoMAE Architecture
Utilizes the Video Masked Autoencoder (VideoMAE) architecture, suitable for video understanding tasks
Task-Specific Fine-tuning
Fine-tuned on the base model for specific tasks
Polynomial Learning Rate Scheduling
Uses a polynomial decay learning rate scheduling strategy during training
Model Capabilities
Video Content Analysis
Video Feature Extraction
Use Cases
Video Understanding
Video Classification
Classify and recognize video content
Current accuracy 11.1%
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