still-universe-209

BeckerAnas/still-universe-209

still-universe-209 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 27, 2025
Updated: May 27, 2025
SHA: 45b68c25

Base models

facebook/convnextv2-tiny-1k-224

Model card

From the Hugging Face model README

still-universe-209

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: 0.5721
Accuracy: 0.6497
Precision: 0.6965
Recall: 0.6497
F1: 0.6583
Roc Auc: 0.8795

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
1.379	1.0	17	1.3021	0.4544	0.5543	0.4544	0.4617	0.7377
1.3695	2.0	34	1.2286	0.5391	0.5315	0.5391	0.5266	0.7806
1.1945	3.0	51	1.1127	0.5794	0.5651	0.5794	0.5647	0.8098
1.0517	4.0	68	0.8318	0.5872	0.6134	0.5872	0.5961	0.8273
1.0323	5.0	85	0.8958	0.5156	0.6297	0.5156	0.5319	0.8189
0.9029	6.0	102	0.7313	0.5365	0.6126	0.5365	0.5398	0.8267
0.9002	7.0	119	0.7217	0.5794	0.5998	0.5794	0.5558	0.8445
0.7855	8.0	136	0.6522	0.6029	0.6629	0.6029	0.6064	0.8581
0.756	9.0	153	0.6371	0.5964	0.6263	0.5964	0.5653	0.8643
0.7164	10.0	170	0.6291	0.5690	0.6930	0.5690	0.5780	0.8579
0.6894	11.0	187	0.6194	0.5938	0.6360	0.5938	0.5735	0.8699
0.6606	12.0	204	0.5834	0.6289	0.6906	0.6289	0.6402	0.8742
0.6273	13.0	221	0.5766	0.6510	0.6972	0.6510	0.6607	0.8780
0.6046	14.0	238	0.5732	0.6497	0.6965	0.6497	0.6583	0.8790
0.6255	15.0	255	0.5721	0.6497	0.6965	0.6497	0.6583	0.8795

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 27, 2025
Updated: May 27, 2025