ConvNeXtV2_Tiny_v5

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:

Model description

More information needed

More information needed

More information needed

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: 143
num_epochs: 13
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1871	1.0	111	0.2640	0.7658	0.6656	0.9902	0.7961
0.1994	2.0	222	0.0950	0.9729	0.9667	0.9750	0.9708
0.2047	3.0	333	0.0681	0.9862	0.9956	0.9744	0.9849
0.1691	4.0	444	0.0697	0.9848	0.9901	0.9768	0.9834
0.1664	5.0	555	0.0673	0.9887	0.9950	0.9805	0.9877
0.1318	6.0	666	0.0747	0.9772	0.9642	0.9872	0.9756
0.1367	7.0	777	0.0461	0.9896	0.9938	0.9835	0.9886
0.1134	8.0	888	0.0431	0.9910	0.9951	0.9853	0.9902
0.1782	9.0	999	0.0526	0.9896	0.9951	0.9823	0.9886
0.1513	10.0	1110	0.0520	0.9901	0.9957	0.9829	0.9892
0.1352	11.0	1221	0.0469	0.9901	0.9938	0.9847	0.9893
0.1377	12.0	1332	0.0448	0.9907	0.9957	0.9841	0.9899
0.1107	13.0	1443	0.0440	0.9915	0.9957	0.9860	0.9908