nielsr/segformer-trainer-test

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segformer-trainer-test

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

• —Loss: 1.3886
• —Mean Iou: 0.1391
• —Mean Accuracy: 0.1905
• —Overall Accuracy: 0.7192

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: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10.0

Training results

Framework versions

• —Transformers 4.19.0.dev0
• —Pytorch 1.11.0+cu113
• —Datasets 2.0.0
• —Tokenizers 0.11.6