videomae-base-finetuned-ucf101-subset

saba003/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a machine learning model from saba003. Use it for the machine learning 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

Library: transformers
Model type: videomae
Access: Public
Created: Feb 26, 2024
Updated: Jul 1, 2024
SHA: 9e5cce19

Model card

From the Hugging Face model README

videomae-base-finetuned-ucf101-subset

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2213
Accuracy: 0.2839

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
2.4441	0.2568	38	2.3019	0.2857
1.9821	1.2568	76	2.1692	0.1143
1.9084	2.2568	114	2.2854	0.2
1.783	3.2297	148	2.1290	0.2143

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu118
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: videomae
Created: Feb 26, 2024
Updated: Jul 1, 2024