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distill-lab/
train_dit02_3cat_cls_5.6k_naflex

Name: train_dit02_3cat_cls_5.6k_naflex
Availability: InStock

generated_from_trainer

google/siglip2-so400m-patch16-naflex

finetune

apache-2.0

endpoints_compatible

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train_dit02_initials_3cat_cls_5.6k_naflex-r2

This model is a fine-tuned version of google/siglip2-so400m-patch16-naflex on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6709
Accuracy: 0.6333
Precision: 0.6313
Recall: 0.6333
F1: 0.6300
Roc Auc: 0.7773

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: 5e-06
train_batch_size: 96
eval_batch_size: 96
seed: 1337
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.3921	1.8868	100	0.4369	0.6243	0.5741	0.6243	0.5256	0.7611
0.2374	3.7736	200	0.4151	0.6558	0.6163	0.6558	0.6183	0.7908
0.1115	5.6604	300	0.5398	0.6513	0.6193	0.6513	0.6309	0.7897
0.0411	7.5472	400	0.6090	0.6277	0.6382	0.6277	0.6289	0.7803
0.026	9.4340	500	0.6684	0.6333	0.6330	0.6333	0.6307	0.7774

Framework versions

Transformers 4.56.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.1

distill-lab/train_dit02_3cat_cls_5.6k_naflex

train_dit02_initials_3cat_cls_5.6k_naflex-r2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

distill-lab/
train_dit02_3cat_cls_5.6k_naflex