test1

JoshuaKelleyDs/test1

test1 is a image classification model from JoshuaKelleyDs. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.

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

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At a glance

Task: Image Classification
Library: transformers
License: other
Model type: mobilevit
Access: Public
Created: Jun 2, 2024
Updated: Jun 2, 2024
SHA: 655c2c37

Base models

apple/mobilevit-small

Model card

From the Hugging Face model README

test1

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

Loss: 1.1366
Accuracy: 0.7952
F1: 0.7855
Recall: 0.7952

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall
No log	0.4554	500	0.6376	0.7896	0.7429	0.7896
0.657	0.9107	1000	0.5839	0.8109	0.7679	0.8109
0.657	1.3661	1500	0.7632	0.7322	0.7195	0.7322
0.5653	1.8215	2000	0.5927	0.8144	0.7689	0.8144
0.5653	2.2769	2500	0.5855	0.8174	0.7765	0.8174
0.5128	2.7322	3000	0.5567	0.8210	0.7931	0.8210
0.5128	3.1876	3500	0.5578	0.8214	0.7894	0.8214
0.4648	3.6430	4000	0.5699	0.8236	0.7928	0.8236
0.4648	4.0984	4500	0.6039	0.8053	0.7850	0.8053
0.411	4.5537	5000	0.5662	0.8203	0.7989	0.8203
0.411	5.0091	5500	0.6043	0.8252	0.7962	0.8252
0.3532	5.4645	6000	0.6559	0.8060	0.7915	0.8060
0.3532	5.9199	6500	0.6310	0.8175	0.7919	0.8175
0.2847	6.3752	7000	0.7075	0.8029	0.7890	0.8029
0.2847	6.8306	7500	0.8056	0.7743	0.7745	0.7743
0.2265	7.2860	8000	0.8991	0.7957	0.7875	0.7957
0.2265	7.7413	8500	0.8929	0.7904	0.7866	0.7904
0.1626	8.1967	9000	0.9503	0.8022	0.7883	0.8022
0.1626	8.6521	9500	1.0467	0.7904	0.7838	0.7904
0.1099	9.1075	10000	1.0435	0.8009	0.7877	0.8009
0.1099	9.5628	10500	1.1366	0.7952	0.7855	0.7952

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: mobilevit
License: other
Created: Jun 2, 2024
Updated: Jun 2, 2024