hoarding-detection-yolos – AI Model by shuvam776 | AlphaNeural AI

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shuvam776/
hoarding-detection-yolos

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object-detection

generated_from_trainer

hustvl/yolos-tiny

endpoints_compatible

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hoarding-detection-yolos

This model is a fine-tuned version of hustvl/yolos-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0530

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3213	1.0	346	1.4447
1.216	2.0	692	1.3241
1.2263	3.0	1038	1.3540
1.021	4.0	1384	1.2100
0.9946	5.0	1730	1.1664
0.9623	6.0	2076	1.1285
0.8784	7.0	2422	1.1428
0.7868	8.0	2768	1.1187
0.7513	9.0	3114	1.0768
0.7086	10.0	3460	1.0530

Framework versions

Transformers 4.57.0
Pytorch 2.6.0+cu124
Datasets 4.5.0
Tokenizers 0.22.1