ConvNeXtV2_Tiny_v4 – AI Model by Foxasdf | AlphaNeural AI

You can deploy this model and start earning money today!

Foxasdf/
ConvNeXtV2_Tiny_v4

like

0

image-classification

generated_from_trainer

facebook/convnextv2-tiny-1k-224

endpoints_compatible

Views

No views yet

ConvNeXtV2_Tiny_v4

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: 0.0577
Accuracy: 0.9853
Precision: 0.9871
Recall: 0.9811
F1: 0.9841

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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 66
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1899	1.0	111	0.2023	0.8999	0.8315	0.9823	0.9006
0.1830	2.0	222	0.0854	0.9814	0.9894	0.9701	0.9797
0.1961	3.0	333	0.0992	0.9721	0.9589	0.9817	0.9701
0.1580	4.0	444	0.0681	0.9839	0.9877	0.9774	0.9825
0.1596	5.0	555	0.0650	0.9848	0.9889	0.9780	0.9834
0.1220	6.0	666	0.0577	0.9853	0.9871	0.9811	0.9841

Framework versions

Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2