videomae-base-finetuned-ucf101-subset

martinnz/videomae-base-finetuned-ucf101-subset

videomae-base-finetuned-ucf101-subset is a machine learning model from martinnz. 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 13, 2024
Updated: Aug 14, 2024
SHA: 81b294cf

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: 2.9364
Accuracy: 0.1423

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: 4
eval_batch_size: 4
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: 11919

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.1544	0.3324	3962	3.1157	0.1087
3.1054	1.3324	7924	2.9993	0.1346
2.9247	2.3324	11886	2.9364	0.1433
2.8548	3.0028	11919	2.9364	0.1423

Framework versions

Transformers 4.44.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: videomae
License: cc-by-nc-4.0
Created: Aug 13, 2024
Updated: Aug 14, 2024