Task
Video Classification
V
Shawon16/VideoMAE_Base_WLASL_100_200_epochs_p20_SR_8
Video Classification·Shawon16· 343
transformers
cc-by-nc-4.0
Video Classification
86.3M params
base_model:MCG-NJU/videomae-basebase_model:finetune:MCG-NJU/videomae-baselicense:cc-by-nc-4.0region:us
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: 2.8301 - Top 1 Accuracy: 0.5296 - Top 5 Accuracy: 0.7988 - Top 10 Accuracy: 0.8698 - Accuracy: 0.5296 - Precision: 0.5768 - Recall: 0.5296 - F1: 0.5133
# pull & run locally
pip install mlforge-sdk && mlforge pull Shawon16/VideoMAE_Base_WLASL_100_200_epochs_p20_SR_8
pip install mlforge-sdk && mlforge pull Shawon16/VideoMAE_Base_WLASL_100_200_epochs_p20_SR_8
Model details
Provider
Shawon16
Framework
transformers
Parameters
86.3M
Size
39 GB
License
cc-by-nc-4.0
Downloads
343
Updated
2025-11-09
About Shawon16/VideoMAE_Base_WLASL_100_200_epochs_p20_SR_8
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: 2.8301 - Top 1 Accuracy: 0.5296 - Top 5 Accuracy: 0.7988 - Top 10 Accuracy: 0.8698 - Accuracy: 0.5296 - Precision: 0.5768 - Recall: 0.5296 - F1: 0.5133