videomae-base-finetuned-ucf101-subset

sanchitv7/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a machine learning model from sanchitv7. 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. --

Downloads · 30 days

6% of all-time downloads

All-time downloads

163

Public

Parameters

86.2M

1.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors345 MB · 100%

At a glance

License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: Aug 19, 2024
Updated: Aug 19, 2024
SHA: 8c5c3f3b

Base models

MCG-NJU/videomae-base

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: 0.4459
Accuracy: 0.7935

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: 8
eval_batch_size: 8
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: 148

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1403	0.2568	38	1.7314	0.5143
0.8555	1.2568	76	0.8790	0.7571
0.4151	2.2568	114	0.4447	0.8143
0.3019	3.2297	148	0.3519	0.8571

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Type: videomae
License: cc-by-nc-4.0
Created: Aug 19, 2024
Updated: Aug 19, 2024