videomae-base-finetuned-ucf101-subset

zhenligod/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a video classification model from zhenligod. 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: Feb 2, 2023
Updated: Feb 2, 2023
SHA: 7627f61e

Model card

From the Hugging Face model README

videomae-base-finetuned-ucf101-subset

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: 1.2120
Accuracy: 0.0

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: 2
eval_batch_size: 2
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.5	1	1.2203	0.0
No log	1.5	2	1.0272	0.0

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: Feb 2, 2023
Updated: Feb 2, 2023