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---
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: 0.1354
- Train Dice Coef: 0.6853
- Train Iou: 0.5329
- Validation Loss: 0.0855
- Validation Dice Coef: 0.7853
- Validation Iou: 0.6544
- Train Lr: 1e-04
- Epoch: 1
## 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': 1e-04, '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 |
### Framework versions
- Transformers 4.27.4
- TensorFlow 2.10.1
- Datasets 2.11.0
- Tokenizers 0.13.3
|