Task
Video Classification
V
billskar23/videomae-base-videoMAE
Video Classification·billskar23· 26
transformers
cc-by-nc-4.0
Video Classification
86.2M 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: 1.6956 - Accuracy: 0.8571 - Precision: 0.8929 - Recall: 0.8571 - F1: 0.8571
# pull & run locally
pip install mlforge-sdk && mlforge pull billskar23/videomae-base-videoMAE
pip install mlforge-sdk && mlforge pull billskar23/videomae-base-videoMAE
Model details
Provider
billskar23
Framework
transformers
Parameters
86.2M
Size
370 GB
License
cc-by-nc-4.0
Downloads
26
Updated
2024-09-30
About billskar23/videomae-base-videoMAE
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: 1.6956 - Accuracy: 0.8571 - Precision: 0.8929 - Recall: 0.8571 - F1: 0.8571