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segformer-b0-finetuned-100by100PNG-50epochs

This model is a fine-tuned version of nvidia/mit-b0 on the JCAI2000/100By100BranchPNG dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1488
  • Mean Iou: 0.0
  • Mean Accuracy: nan
  • Overall Accuracy: nan
  • Accuracy 0: nan
  • Iou 0: 0.0

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: 2
  • eval_batch_size: 2
  • 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 0 Iou 0
0.5785 2.63 50 0.4624 0.0 nan nan nan 0.0
0.3842 5.26 100 0.3092 0.0 nan nan nan 0.0
0.3916 7.89 150 0.2549 0.0 nan nan nan 0.0
0.2686 10.53 200 0.2442 0.0 nan nan nan 0.0
0.163 13.16 250 0.2046 0.0 nan nan nan 0.0
0.118 15.79 300 0.1911 0.0 nan nan nan 0.0
0.1432 18.42 350 0.1718 0.0 nan nan nan 0.0
0.1692 21.05 400 0.1877 0.0 nan nan nan 0.0
0.1444 23.68 450 0.1637 0.0 nan nan nan 0.0
0.084 26.32 500 0.1649 0.0 nan nan nan 0.0
0.1204 28.95 550 0.1601 0.0 nan nan nan 0.0
0.0816 31.58 600 0.1560 0.0 nan nan nan 0.0
0.1041 34.21 650 0.1618 0.0 nan nan nan 0.0
0.0906 36.84 700 0.1565 0.0 nan nan nan 0.0
0.0644 39.47 750 0.1500 0.0 nan nan nan 0.0
0.0774 42.11 800 0.1552 0.0 nan nan nan 0.0
0.0687 44.74 850 0.1504 0.0 nan nan nan 0.0
0.0931 47.37 900 0.1465 0.0 nan nan nan 0.0
0.0852 50.0 950 0.1488 0.0 nan nan nan 0.0

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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