videomae-base-finetuned-ucf101-subset

leo2105/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a machine learning model from leo2105. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Nov 9, 2024
Updated: Nov 11, 2024
SHA: 38151372

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: 0.3232
Accuracy: 0.8903

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: 600

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9143	0.25	150	0.8906	0.6429
0.2663	1.25	300	0.5431	0.7429
0.5612	2.25	450	0.3649	0.8286
0.0385	3.25	600	0.2034	0.9571

Framework versions

Transformers 4.30.2
Pytorch 1.8.0
Datasets 2.13.2
Tokenizers 0.13.3

Type: videomae
License: cc-by-nc-4.0
Created: Nov 9, 2024
Updated: Nov 11, 2024