krnl/segformer-b5-finetuned-human-parsing

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segformer-b5-finetuned-human-parsing

This model is a fine-tuned version of nvidia/mit-b5 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2292
• —Mean Iou: 0.6258
• —Mean Accuracy: 0.7547
• —Overall Accuracy: 0.8256
• —Accuracy Background: nan
• —Accuracy Hat: 0.8561
• —Accuracy Hair: 0.8974
• —Accuracy Sunglasses: 0.7540
• —Accuracy Upper-clothes: 0.8553
• —Accuracy Skirt: 0.7026
• —Accuracy Pants: 0.8913
• —Accuracy Dress: 0.7525
• —Accuracy Belt: 0.4251
• —Accuracy Left-shoe: 0.6014
• —Accuracy Right-shoe: 0.6374
• —Accuracy Face: 0.9094
• —Accuracy Left-leg: 0.8452
• —Accuracy Right-leg: 0.8343
• —Accuracy Left-arm: 0.8506
• —Accuracy Right-arm: 0.8287
• —Accuracy Bag: 0.8232
• —Accuracy Scarf: 0.3662
• —Iou Background: 0.0
• —Iou Hat: 0.7625
• —Iou Hair: 0.8171
• —Iou Sunglasses: 0.6400
• —Iou Upper-clothes: 0.7700
• —Iou Skirt: 0.6211
• —Iou Pants: 0.7788
• —Iou Dress: 0.5512
• —Iou Belt: 0.3564
• —Iou Left-shoe: 0.5032
• —Iou Right-shoe: 0.5381
• —Iou Face: 0.8294
• —Iou Left-leg: 0.7412
• —Iou Right-leg: 0.7591
• —Iou Left-arm: 0.7579
• —Iou Right-arm: 0.7705
• —Iou Bag: 0.7729
• —Iou Scarf: 0.2956

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 15

Training results