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distill-lab/
train_dit02_initials_3cat_cls_3.5k_naflex-r2

Name: train_dit02_initials_3cat_cls_3.5k_naflex-r2
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_3.5k_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: 0.6956
Accuracy: 0.6418
Precision: 0.6396
Recall: 0.6418
F1: 0.6307
Roc Auc: 0.7587

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
0.184	3.125	100	0.3170	0.6754	0.6694	0.6754	0.6569	0.7862
0.038	6.25	200	0.5170	0.6474	0.6700	0.6474	0.6422	0.7691
0.013	9.375	300	0.6968	0.6474	0.6423	0.6474	0.6346	0.7590

Framework versions

Transformers 4.56.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.22.1

distill-lab/train_dit02_initials_3cat_cls_3.5k_naflex-r2

train_dit02_initials_3cat_cls_3.5k_naflex-r2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

distill-lab/
train_dit02_initials_3cat_cls_3.5k_naflex-r2