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ChristianMDahl/segFormer-b3-horizontal-vertical

This model is a fine-tuned version of nvidia/mit-b3 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1671
  • Validation Loss: 0.2320
  • Epoch: 19

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.3203 0.2831 0
0.2822 0.2688 1
0.2662 0.2578 2
0.2526 0.2484 3
0.2396 0.2442 4
0.2288 0.2416 5
0.2195 0.2381 6
0.2121 0.2361 7
0.2058 0.2314 8
0.1999 0.2277 9
0.1952 0.2287 10
0.1912 0.2221 11
0.1869 0.2205 12
0.1835 0.2226 13
0.1804 0.2209 14
0.1775 0.2181 15
0.1745 0.2206 16
0.1721 0.2179 17
0.1693 0.2199 18
0.1671 0.2320 19

Framework versions

  • Transformers 4.29.2
  • TensorFlow 2.10.1
  • Tokenizers 0.13.3
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