videomae-base-finetuned-ssv2-finetuned-ucf101-subset

virkha/videomae-base-finetuned-ssv2-finetuned-ucf101-subset

videomae-base-finetuned-ssv2-finetuned-ucf101-subset is a machine learning model from virkha. 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: Aug 12, 2024
Updated: Aug 13, 2024
SHA: dddc103b

Base models

MCG-NJU/videomae-base-finetuned-ssv2

Model card

From the Hugging Face model README

videomae-base-finetuned-ssv2-finetuned-ucf101-subset

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.7234
Accuracy: 0.1038

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: 1
eval_batch_size: 1
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: 433

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.2022	1.0	433	4.6145	0.1182

Framework versions

Transformers 4.44.0
Pytorch 1.13.0+cpu
Datasets 2.20.0
Tokenizers 0.19.1

Type: videomae
License: cc-by-nc-4.0
Created: Aug 12, 2024
Updated: Aug 13, 2024