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metadata
license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
  - generated_from_keras_callback
model-index:
  - name: segformer-b0-finetuned-deprem-satellite
    results: []
pipeline_tag: image-segmentation

segformer-b0-finetuned-deprem-satellite

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0405
  • Validation Loss: 0.0344
  • Epoch: 49

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.1619 0.0524 0
0.0943 0.0437 1
0.0811 0.0402 2
0.0756 0.0390 3
0.0714 0.0365 4
0.0676 0.0367 5
0.0648 0.0361 6
0.0627 0.0352 7
0.0617 0.0423 8
0.0597 0.0348 9
0.0582 0.0338 10
0.0575 0.0340 11
0.0553 0.0338 12
0.0551 0.0328 13
0.0542 0.0353 14
0.0541 0.0348 15
0.0526 0.0325 16
0.0512 0.0326 17
0.0511 0.0338 18
0.0506 0.0338 19
0.0501 0.0326 20
0.0488 0.0339 21
0.0488 0.0329 22
0.0481 0.0335 23
0.0475 0.0327 24
0.0469 0.0335 25
0.0463 0.0331 26
0.0478 0.0326 27
0.0455 0.0331 28
0.0511 0.0328 29
0.0454 0.0327 30
0.0447 0.0330 31
0.0466 0.0341 32
0.0445 0.0331 33
0.0441 0.0333 34
0.0438 0.0337 35
0.0441 0.0347 36
0.0463 0.0334 37
0.0446 0.0336 38
0.0430 0.0337 39
0.0425 0.0342 40
0.0422 0.0339 41
0.0426 0.0348 42
0.0418 0.0339 43
0.0416 0.0339 44
0.0414 0.0343 45
0.0423 0.0337 46
0.0408 0.0353 47
0.0405 0.0343 48
0.0405 0.0344 49

Framework versions

  • Transformers 4.36.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0