segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad5 – AI Model by saad7489 | AlphaNeural AI

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segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad5

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segformer-b0-finetuned-segments-SixrayKnife8-21-2024_saad5

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: 0.2720
Mean Iou: 0.8171
Mean Accuracy: 0.9114
Overall Accuracy: 0.9868
Accuracy Bkg: 0.9925
Accuracy Knife: 0.8345
Accuracy Gun: 0.9072
Iou Bkg: 0.9878
Iou Knife: 0.7337
Iou Gun: 0.7298

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: 1e-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: 20

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
0.2986	5.0	20	0.2833	0.8180	0.9092	0.9869	0.9928	0.8290	0.9057	0.9879	0.7362	0.7299
0.2801	10.0	40	0.2780	0.8141	0.9117	0.9864	0.9921	0.8366	0.9063	0.9875	0.7281	0.7268
0.2908	15.0	60	0.2739	0.8178	0.9075	0.9869	0.9930	0.8289	0.9005	0.9880	0.7332	0.7321
0.2928	20.0	80	0.2720	0.8171	0.9114	0.9868	0.9925	0.8345	0.9072	0.9878	0.7337	0.7298

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1