yolos-tiny-CD45RB-1000 – AI Model by polejowska | AlphaNeural AI

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yolos-tiny-CD45RB-1000

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yolos-tiny-CD45RB-1000

This model is a fine-tuned version of hustvl/yolos-tiny on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.6317

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
3.4965	1.0	94	2.7799
3.4526	2.0	188	2.7380
3.4012	3.0	282	2.6721
3.2776	4.0	376	2.6651
3.2164	5.0	470	2.6555
3.2701	6.0	564	2.6489
3.1847	7.0	658	2.6993
3.0959	8.0	752	2.6364
3.0506	9.0	846	2.6464
3.0497	10.0	940	2.6304
3.0767	11.0	1034	2.6344
3.0397	12.0	1128	2.6142
2.982	13.0	1222	2.6787
2.883	14.0	1316	2.6492
2.8978	15.0	1410	2.6317

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2