videomae-base-finetuned

AidaRomano/videomae-base-finetuned

videomae-base-finetuned is a video classification model from AidaRomano. 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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Video Classification
Library: transformers
Model type: videomae
Access: Public
Created: Mar 14, 2024
Updated: Nov 29, 2024
SHA: c6d6b540

Model card

From the Hugging Face model README

videomae-base-finetuned

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9207
Accuracy: 0.4383

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: 2236

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5277	0.25	560	1.0346	0.3915
0.9442	1.25	1120	0.9560	0.3371
0.4539	2.25	1680	0.9267	0.4097
0.4548	3.25	2236	0.9207	0.4383

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.13.3

Task: Video Classification
Library: transformers
Type: videomae
Created: Mar 14, 2024
Updated: Nov 29, 2024