RALL_NoCrop_Aug16F-8B16F-GACWDlr

TanAlexanderlz/RALL_NoCrop_Aug16F-8B16F-GACWDlr

RALL_NoCrop_Aug16F-8B16F-GACWDlr is a video classification model from TanAlexanderlz. 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. 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

Task: Video Classification
Library: transformers
License: cc-by-nc-4.0
Model type: videomae
Access: Public
Created: May 31, 2025
Updated: May 31, 2025
SHA: 96fea85c

Base models

MCG-NJU/videomae-base-finetuned-kinetics

Model card

From the Hugging Face model README

RALL_NoCrop_Aug16F-8B16F-GACWDlr

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

Loss: 0.8643
Accuracy: 0.8032

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 3462

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6327	0.0416	144	0.6327	0.6299
0.4228	1.0416	288	0.5300	0.7464
0.2855	2.0416	432	0.5658	0.7648
0.2789	3.0416	576	0.5733	0.7587
0.237	4.0416	720	0.7180	0.7628
0.1125	5.0416	864	0.7992	0.7710
0.0921	6.0416	1008	0.8145	0.7669
0.1423	7.0416	1152	0.9354	0.7648
0.1307	8.0416	1296	0.9036	0.7648
0.0479	9.0416	1440	1.1271	0.7730
0.0724	10.0416	1584	1.0805	0.7669
0.1424	11.0416	1728	1.0949	0.7669
0.0577	12.0416	1872	1.1183	0.7730
0.1258	13.0416	2016	1.0614	0.7914
0.0271	14.0416	2160	1.1381	0.7771
0.0557	15.0416	2304	1.2154	0.7587
0.054	16.0416	2448	1.1568	0.7710
0.1001	17.0416	2592	1.1639	0.7853
0.0401	18.0416	2736	1.1892	0.7812

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: Video Classification
Library: transformers
Type: videomae
License: cc-by-nc-4.0
Created: May 31, 2025
Updated: May 31, 2025