You can deploy this model and start earning money today!

MinhLe999/
mobilenetv3-blur-detection

Name: mobilenetv3-blur-detection
Availability: InStock

generated_from_trainer

MinhLe999/mobilenetv3-handwriting-blur

finetune

endpoints_compatible

Views

No views yet

mobilenetv3-blur-detection

This model is a fine-tuned version of MinhLe999/mobilenetv3-handwriting-blur on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0392
Accuracy: 0.9870
Precision: 0.9763
Recall: 0.9880
F1: 0.9821

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
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
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0490	1.0	231	0.0812	0.9740	0.9429	0.9880	0.9649
0.0063	2.0	462	0.0381	0.9826	0.9760	0.9760	0.9760
0.0014	3.0	693	0.0330	0.9892	0.9765	0.9940	0.9852
0.0011	4.0	924	0.0392	0.9870	0.9763	0.9880	0.9821

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2

MinhLe999/mobilenetv3-blur-detection

mobilenetv3-blur-detection

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MinhLe999/
mobilenetv3-blur-detection