videomae-base-finetuned-ucf101-subset_new

Asadali12/videomae-base-finetuned-ucf101-subset_new

videomae-base-finetuned-ucf101-subset_new is a machine learning model from Asadali12. 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: Sep 21, 2024
Updated: Sep 21, 2024
SHA: 16992770

Base models

MCG-NJU/videomae-base

Model card

From the Hugging Face model README

videomae-base-finetuned-ucf101-subset_new

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: 0.2017
Accuracy: 0.9419

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: 4e-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: 0.2
training_steps: 296

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3017	0.1284	38	2.2057	0.1143
1.7529	1.1284	76	1.5770	0.4571
0.738	2.1284	114	0.7969	0.7571
0.4054	3.1284	152	0.4407	0.8143
0.1165	4.1284	190	0.3495	0.8429
0.1328	5.1284	228	0.1444	0.9571
0.0875	6.1284	266	0.0864	0.9857
0.0347	7.1014	296	0.0651	0.9857

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: videomae
License: cc-by-nc-4.0
Created: Sep 21, 2024
Updated: Sep 21, 2024