segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad2 – AI Model by saad7489 | AlphaNeural AI

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segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad2

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segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad2

This model is a fine-tuned version of nvidia/mit-b0 on the saad7489/SixraygunTest dataset. It achieves the following results on the evaluation set:

Loss: 0.3358
Mean Iou: 0.7746
Mean Accuracy: 0.8963
Overall Accuracy: 0.9817
Accuracy Bkg: 0.9889
Accuracy Knife: 0.8285
Accuracy Gun: 0.8716
Iou Bkg: 0.9833
Iou Knife: 0.6954
Iou Gun: 0.6451

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: 6e-05
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Bkg	Accuracy Knife	Accuracy Gun	Iou Bkg	Iou Knife	Iou Gun
0.7888	6.6667	20	0.8695	0.5702	0.8463	0.9402	0.9482	0.7648	0.8257	0.9426	0.4598	0.3081
0.5585	13.3333	40	0.5529	0.6147	0.7305	0.9648	0.9847	0.5317	0.6751	0.9665	0.4745	0.4032
0.4632	20.0	60	0.4458	0.6892	0.7884	0.9740	0.9891	0.6932	0.6829	0.9754	0.5996	0.4926
0.4117	26.6667	80	0.4212	0.7226	0.8764	0.9748	0.9831	0.8038	0.8423	0.9761	0.6472	0.5445
0.3782	33.3333	100	0.3883	0.7500	0.8957	0.9785	0.9856	0.8198	0.8818	0.9802	0.6733	0.5965
0.3489	40.0	120	0.3564	0.7642	0.9014	0.9802	0.9869	0.8332	0.8839	0.9819	0.6855	0.6251
0.3454	46.6667	140	0.3358	0.7746	0.8963	0.9817	0.9889	0.8285	0.8716	0.9833	0.6954	0.6451

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1