---
license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
- generated_from_keras_callback
model-index:
- name: bhaskarSingha/segformer-finetuned-paddyV1
  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. -->

# bhaskarSingha/segformer-finetuned-paddyV1

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: nan
- Validation Loss: nan
- Validation Mean Iou: 0.0004
- Validation Mean Accuracy: 0.5
- Validation Overall Accuracy: 0.1499
- Validation Accuracy Healthy: 1.0
- Validation Accuracy Brownspot: 0.0
- Validation Accuracy Leafblast: nan
- Validation Iou Healthy: 0.0009
- Validation Iou Brownspot: 0.0
- Validation Iou Leafblast: nan
- Epoch: 2

## 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': {'module': 'keras.optimizers.schedules', 'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 1000, 'alpha': 0.0, 'name': 'CosineDecay', 'warmup_target': 5e-05, 'warmup_steps': 100}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Healthy | Validation Accuracy Brownspot | Validation Accuracy Leafblast | Validation Iou Healthy | Validation Iou Brownspot | Validation Iou Leafblast | Epoch |
|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:---------------------------:|:-----------------------------:|:-----------------------------:|:----------------------:|:------------------------:|:------------------------:|:-----:|
| nan        | nan             | 0.0004              | 0.5                      | 0.1499                      | 1.0                         | 0.0                           | nan                           | 0.0009                 | 0.0                      | nan                      | 0     |
| nan        | nan             | 0.0004              | 0.5                      | 0.1499                      | 1.0                         | 0.0                           | nan                           | 0.0009                 | 0.0                      | nan                      | 1     |
| nan        | nan             | 0.0004              | 0.5                      | 0.1499                      | 1.0                         | 0.0                           | nan                           | 0.0009                 | 0.0                      | nan                      | 2     |


### Framework versions

- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.19.1