---
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