flowing-yogurt-213

BeckerAnas/flowing-yogurt-213

flowing-yogurt-213 is a image classification model from BeckerAnas. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: convnextv2
Access: Public
Created: May 28, 2025
Updated: May 28, 2025
SHA: cdf06d79

Base models

facebook/convnextv2-tiny-1k-224

Model card

From the Hugging Face model README

flowing-yogurt-213

This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3359
Accuracy: 0.3841
Precision: 0.5072
Recall: 0.3841
F1: 0.3969
Roc Auc: 0.6977

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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
1.4164	1.0	17	1.4507	0.0065	0.1680	0.0065	0.0026	0.5489
1.4036	2.0	34	1.4003	0.1120	0.4643	0.1120	0.1725	0.5986
1.3866	3.0	51	1.3685	0.3516	0.4511	0.3516	0.3868	0.6448
1.3819	4.0	68	1.3547	0.4089	0.4425	0.4089	0.4095	0.6679
1.3686	5.0	85	1.3514	0.4206	0.4565	0.4206	0.4196	0.6797
1.3566	6.0	102	1.3485	0.4115	0.4791	0.4115	0.4149	0.6856
1.3505	7.0	119	1.3492	0.3763	0.4884	0.3763	0.4002	0.6901
1.3416	8.0	136	1.3432	0.3984	0.4683	0.3984	0.4025	0.6934
1.3411	9.0	153	1.3422	0.3789	0.4768	0.3789	0.3883	0.6953
1.3432	10.0	170	1.3400	0.375	0.5029	0.375	0.3917	0.6958
1.3286	11.0	187	1.3365	0.3854	0.4977	0.3854	0.3983	0.6970
1.33	12.0	204	1.3354	0.3893	0.5007	0.3893	0.4007	0.6976
1.3297	13.0	221	1.3360	0.3841	0.5072	0.3841	0.3969	0.6976
1.329	14.0	238	1.3359	0.3841	0.5072	0.3841	0.3969	0.6977
1.3398	15.0	255	1.3359	0.3841	0.5072	0.3841	0.3969	0.6977

Framework versions

Transformers 4.52.3
Pytorch 2.7.0+cpu
Datasets 3.6.0
Tokenizers 0.21.0

Task: Image Classification
Library: transformers
Type: convnextv2
License: apache-2.0
Created: May 28, 2025
Updated: May 28, 2025