business_license_clf-3

haongn/business_license_clf-3

business_license_clf-3 is a image classification model from haongn. 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: efficientnet
Access: Public
Created: Sep 18, 2025
Updated: Sep 18, 2025
SHA: 069ad07f

Base models

google/efficientnet-b0

Model card

From the Hugging Face model README

business_license_clf-3

This model is a fine-tuned version of google/efficientnet-b0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0424
Accuracy: 0.9885

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-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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_ratio: 0.1
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	6	0.6705	0.6092
0.6906	2.0	12	0.6322	0.7126
0.6906	3.0	18	0.6103	0.7241
0.6406	4.0	24	0.5338	0.7931
0.5693	5.0	30	0.5135	0.8506
0.5693	6.0	36	0.4331	0.8966
0.4768	7.0	42	0.3827	0.8506
0.4768	8.0	48	0.3647	0.7931
0.3477	9.0	54	0.3326	0.8046
0.3268	10.0	60	0.2348	0.9080
0.3268	11.0	66	0.2387	0.8966
0.254	12.0	72	0.1859	0.9425
0.254	13.0	78	0.2038	0.9425
0.2075	14.0	84	0.4219	0.7586
0.1964	15.0	90	0.1517	0.9310
0.1964	16.0	96	0.1843	0.9195
0.1491	17.0	102	0.1788	0.9195
0.1491	18.0	108	0.1586	0.9080
0.1358	19.0	114	0.2322	0.8851
0.1444	20.0	120	0.0900	0.9770
0.1444	21.0	126	0.0988	0.9770
0.131	22.0	132	0.2102	0.8966
0.131	23.0	138	0.0960	0.9770
0.1083	24.0	144	0.0832	0.9655
0.1303	25.0	150	0.1087	0.9655
0.1303	26.0	156	0.1209	0.9540
0.1137	27.0	162	0.0638	0.9770
0.1137	28.0	168	0.0860	0.9770
0.1027	29.0	174	0.1754	0.9310
0.1019	30.0	180	0.0959	0.9655
0.1019	31.0	186	0.0782	0.9885
0.0833	32.0	192	0.0885	0.9655
0.0833	33.0	198	0.0977	0.9770
0.1076	34.0	204	0.1032	0.9540
0.1152	35.0	210	0.1446	0.9310
0.1152	36.0	216	0.0496	0.9885
0.0743	37.0	222	0.0652	0.9885
0.0743	38.0	228	0.0559	0.9885
0.0808	39.0	234	0.0654	0.9770
0.1056	40.0	240	0.0645	0.9770
0.1056	41.0	246	0.0677	0.9655
0.0838	42.0	252	0.0636	0.9770
0.0838	43.0	258	0.0746	0.9770
0.0707	44.0	264	0.0643	0.9885
0.0776	45.0	270	0.0688	0.9770
0.0776	46.0	276	0.0560	0.9885
0.0976	47.0	282	0.0765	0.9540
0.0976	48.0	288	0.0491	0.9885
0.0678	49.0	294	0.0704	0.9655
0.0892	50.0	300	0.0424	0.9885

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0

Task: Image Classification
Library: transformers
Type: efficientnet
License: apache-2.0
Created: Sep 18, 2025
Updated: Sep 18, 2025