tebak-gambar-mobilevit

akahana/tebak-gambar-mobilevit

tebak-gambar-mobilevit is a machine learning model from akahana. 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 other.

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

Downloads · 30 days

6% of all-time downloads

All-time downloads

108

Public

Parameters

2.1M

8.3 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors8.3 MB · 99%

At a glance

License: other
Model type: mobilevit
Access: Public
Created: Aug 8, 2024
Updated: Aug 8, 2024
SHA: ac34bcdd

Base models

apple/mobilevit-x-small

Model card

From the Hugging Face model README

tebak-gambar-mobilevit

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

Loss: 1.0799
Accuracy: 0.7289

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: 0.0008
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5084	0.2844	5000	1.4700	0.6364
1.3684	0.5689	10000	1.3353	0.6674
1.3568	0.8533	15000	1.2764	0.6804
1.226	1.1377	20000	1.2323	0.6924
1.2125	1.4222	25000	1.1850	0.7031
1.1912	1.7066	30000	1.1567	0.7092
1.1902	1.9910	35000	1.1297	0.7165
1.131	2.2754	40000	1.1106	0.7213
1.124	2.5599	45000	1.0916	0.7258
1.1245	2.8443	50000	1.0782	0.7300

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: mobilevit
License: other
Created: Aug 8, 2024
Updated: Aug 8, 2024