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---
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
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# segformer-b0-finetuned-deprem-satellite
This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/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 |