---
license: other
tags:
- generated_from_keras_callback
model-index:
- name: AhamadShaik/SegFormer_RESIZE_NLM
  results: []
---

<!-- 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. -->

# AhamadShaik/SegFormer_RESIZE_NLM

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0510
- Train Dice Coef: 0.8634
- Train Iou: 0.7624
- Validation Loss: 0.0501
- Validation Dice Coef: 0.8814
- Validation Iou: 0.7899
- Train Lr: 1e-04
- Epoch: 24

## 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': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Dice Coef | Train Iou | Validation Loss | Validation Dice Coef | Validation Iou | Train Lr | Epoch |
|:----------:|:---------------:|:---------:|:---------------:|:--------------------:|:--------------:|:--------:|:-----:|
| 0.2282     | 0.5657          | 0.4102    | 0.1322          | 0.6524               | 0.4967         | 1e-04    | 0     |
| 0.1354     | 0.6853          | 0.5329    | 0.0855          | 0.7853               | 0.6544         | 1e-04    | 1     |
| 0.1105     | 0.7364          | 0.5924    | 0.0737          | 0.8147               | 0.6916         | 1e-04    | 2     |
| 0.0985     | 0.7610          | 0.6226    | 0.0632          | 0.8518               | 0.7440         | 1e-04    | 3     |
| 0.0933     | 0.7745          | 0.6399    | 0.0627          | 0.8455               | 0.7351         | 1e-04    | 4     |
| 0.0886     | 0.7856          | 0.6535    | 0.0584          | 0.8603               | 0.7566         | 1e-04    | 5     |
| 0.0831     | 0.7971          | 0.6695    | 0.0559          | 0.8621               | 0.7596         | 1e-04    | 6     |
| 0.0770     | 0.8107          | 0.6867    | 0.0530          | 0.8726               | 0.7756         | 1e-04    | 7     |
| 0.0741     | 0.8160          | 0.6942    | 0.0512          | 0.8775               | 0.7832         | 1e-04    | 8     |
| 0.0750     | 0.8163          | 0.6945    | 0.0581          | 0.8627               | 0.7606         | 1e-04    | 9     |
| 0.0678     | 0.8306          | 0.7138    | 0.0531          | 0.8719               | 0.7745         | 1e-04    | 10    |
| 0.0659     | 0.8341          | 0.7196    | 0.0519          | 0.8738               | 0.7781         | 1e-04    | 11    |
| 0.0626     | 0.8412          | 0.7294    | 0.0496          | 0.8789               | 0.7853         | 1e-04    | 12    |
| 0.0637     | 0.8383          | 0.7257    | 0.0515          | 0.8772               | 0.7828         | 1e-04    | 13    |
| 0.0601     | 0.8462          | 0.7367    | 0.0498          | 0.8765               | 0.7814         | 1e-04    | 14    |
| 0.0573     | 0.8525          | 0.7458    | 0.0474          | 0.8817               | 0.7897         | 1e-04    | 15    |
| 0.0565     | 0.8520          | 0.7456    | 0.0459          | 0.8850               | 0.7948         | 1e-04    | 16    |
| 0.0633     | 0.8381          | 0.7262    | 0.0487          | 0.8797               | 0.7868         | 1e-04    | 17    |
| 0.0558     | 0.8544          | 0.7489    | 0.0476          | 0.8828               | 0.7917         | 1e-04    | 18    |
| 0.0523     | 0.8617          | 0.7595    | 0.0454          | 0.8872               | 0.7983         | 1e-04    | 19    |
| 0.0516     | 0.8632          | 0.7617    | 0.0465          | 0.8838               | 0.7934         | 1e-04    | 20    |
| 0.0515     | 0.8636          | 0.7625    | 0.0494          | 0.8816               | 0.7894         | 1e-04    | 21    |
| 0.0518     | 0.8630          | 0.7615    | 0.0487          | 0.8836               | 0.7930         | 1e-04    | 22    |
| 0.0521     | 0.8616          | 0.7595    | 0.0483          | 0.8822               | 0.7908         | 1e-04    | 23    |
| 0.0510     | 0.8634          | 0.7624    | 0.0501          | 0.8814               | 0.7899         | 1e-04    | 24    |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.10.1
- Datasets 2.11.0
- Tokenizers 0.13.3