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